CN111815103A

CN111815103A - Method and equipment for determining outdoor risk assessment information

Info

Publication number: CN111815103A
Application number: CN202010421024.XA
Authority: CN
Inventors: 陆乐; 尤晓彤
Original assignee: Shenzhen First Reaction Information Technology Co ltd
Current assignee: Shenzhen First Reaction Information Technology Co ltd
Priority date: 2020-05-18
Filing date: 2020-05-18
Publication date: 2020-10-23

Abstract

The application aims to provide a method and equipment for determining outdoor risk assessment information. The method comprises the following steps: acquiring meteorological parameter information of one or more sub-target areas in a target area, wherein each sub-target area corresponds to one or more meteorological parameter information; determining risk level information of the sub-target area according to one or more pieces of meteorological parameter information corresponding to the sub-target area; and determining outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area. According to the method and the system, the risks of the corresponding sub-target areas are better managed by collecting the acquired meteorological parameter information, and the safety of the user at each specific position in the target area is ensured by determining the outdoor risk assessment information to deal with.

Description

Method and equipment for determining outdoor risk assessment information

Technical Field

The present application relates to the field of communications, and more particularly, to a technique for determining outdoor risk assessment information.

Background

With the development of the times, the types of outdoor activities are more and more diversified. In order to continuously strengthen the physical quality of students, sports is an important course which is inevitable for students at school; people who enjoy sports continuously challenge themselves by participating in marathon and other events; with the continuous development of social economy, building workers and people are also continuously improving and building social infrastructure; the entertainment activities of people also become more and more diversified, and various offline outdoor singing meetings and outdoor activities are endless. How to evaluate the outdoor safety of people becomes a problem to be solved urgently.

Disclosure of Invention

It is an object of the present application to provide a method and apparatus for determining outdoor risk assessment information.

According to one aspect of the present application, there is provided a method for determining outdoor risk assessment information, the method comprising:

acquiring meteorological parameter information of one or more sub-target areas in a target area, wherein each sub-target area corresponds to one or more meteorological parameter information;

determining risk level information of the sub-target area according to one or more pieces of meteorological parameter information corresponding to the sub-target area;

and determining outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area.

According to another aspect of the present application, there is provided a method for determining outdoor risk assessment information, applied to a network device, the method including:

receiving an inquiry request which is sent by user equipment and relates to outdoor risk assessment information, wherein the inquiry request comprises the position information of the user equipment;

acquiring one or more pieces of meteorological parameter information matched with the position information according to the position information, wherein the one or more pieces of meteorological parameter information correspond to a sub-target area, and the position information is covered in the sub-target area;

determining outdoor risk assessment information corresponding to the user equipment according to the one or more pieces of meteorological parameter information;

and sending the outdoor risk assessment information to the user equipment.

According to one aspect of the present application, there is provided an apparatus for determining outdoor risk assessment information, the apparatus comprising:

the system comprises a one-to-one module, a first module and a second module, wherein the one-to-one module is used for acquiring meteorological parameter information of one or more sub-target areas in a target area, and each sub-target area corresponds to one or more meteorological parameter information;

a second module, configured to determine risk level information of the sub-target area according to one or more pieces of weather parameter information corresponding to the sub-target area;

and the third module is used for determining the outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area.

According to another aspect of the present application, there is provided a network device for determining outdoor risk assessment information, the device comprising:

the system comprises a first module, a second module and a third module, wherein the first module is used for receiving an inquiry request which is sent by user equipment and relates to outdoor risk assessment information, and the inquiry request comprises the position information of the user equipment;

a second module, configured to obtain one or more pieces of weather parameter information matched with the location information according to the location information, where the one or more pieces of weather parameter information correspond to a sub-target area, and the location information is covered in the sub-target area;

a second module and a third module, which are used for determining outdoor risk assessment information corresponding to the user equipment according to the one or more meteorological parameter information;

and the second module and the fourth module are used for sending the outdoor risk assessment information to the user equipment.

a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the operations of any of the methods described above.

According to another aspect of the application, there is provided a computer readable medium storing instructions that, when executed, cause a system to perform the operations of any of the methods described above.

Compared with the prior art, the method and the device have the advantages that the meteorological parameter information of one or more sub-target areas in the target area is obtained, wherein each sub-target area corresponds to one or more meteorological parameter information respectively. The method has the advantages that the meteorological parameter information of each accurate place in the target area is obtained in real time, the meteorological parameter information in each sub-target area in the target area is accurately obtained, an accurate data source is provided for the method applied to specific activity scenes such as event competitions or schools, risks of the corresponding sub-target areas are better managed by collecting the obtained meteorological parameter information, and the safety of users in each specific position in the target area is ensured by determining outdoor risk assessment information to deal with.

Further, determining risk level information of the sub-target area according to one or more meteorological parameter information corresponding to the sub-target area; the risk condition (such as risk value information, risk change trend and the like) of the corresponding sub-target area is reflected through the risk grade information, and the risk controllability of the corresponding sub-target area can be reflected through the risk grade information so as to manage the risk.

Further, determining outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area. The purpose of providing activity guarantee for the user is achieved, the outdoor risk assessment information is matched with the scene information of the target area, the outdoor risk assessment information can be provided for the user in a targeted mode, and response can be made in time.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:

FIG. 1 illustrates a flow chart of a method for determining outdoor risk assessment information according to one embodiment of the present application;

FIG. 2 illustrates a system topology diagram for determining outdoor risk assessment information according to another embodiment of the present application;

FIG. 3 illustrates a system topology diagram for determining outdoor risk assessment information according to yet another embodiment of the present application;

FIG. 4 illustrates a flow diagram of a system method for determining outdoor risk assessment information according to one embodiment of the present application;

FIG. 5 illustrates a flow diagram of a method for determining outdoor risk assessment information according to another embodiment of the present application;

FIG. 6 illustrates a block diagram of an apparatus for determining outdoor risk assessment information according to one embodiment of the present application;

FIG. 7 illustrates an equipment block diagram of a network device for determining outdoor risk assessment information according to another embodiment of the present application;

FIG. 8 illustrates functional modules of an exemplary system that can be used in various embodiments of the present application.

The same or similar reference numbers in the drawings identify the same or similar elements.

Detailed Description

The present application is described in further detail below with reference to the attached figures.

In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (e.g., Central Processing Units (CPUs)), input/output interfaces, network interfaces, and memory.

The Memory may include volatile Memory in a computer readable medium, Random Access Memory (RAM), and/or nonvolatile Memory such as Read Only Memory (ROM) or Flash Memory. Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, Phase-Change Memory (PCM), Programmable Random Access Memory (PRAM), Static Random-Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), electrically Erasable Programmable Read-Only Memory (EEPROM), flash Memory or other Memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.

The device referred to in this application includes, but is not limited to, a user device, a network device, or a device formed by integrating a user device and a network device through a network. The user equipment includes, but is not limited to, any mobile electronic product, such as a smart phone, a tablet computer, etc., capable of performing human-computer interaction with a user (e.g., human-computer interaction through a touch panel), and the mobile electronic product may employ any operating system, such as an android operating system, an iOS operating system, etc. The network Device includes an electronic Device capable of automatically performing numerical calculation and information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded Device, and the like. The network device includes but is not limited to a computer, a network host, a single network server, a plurality of network server sets or a cloud of a plurality of servers; here, the Cloud is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, one virtual supercomputer consisting of a collection of loosely coupled computers. Including, but not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a VPN network, a wireless Ad Hoc network (Ad Hoc network), etc. Preferably, the device may also be a program running on the user device, the network device, or a device formed by integrating the user device and the network device, the touch terminal, or the network device and the touch terminal through a network.

Of course, those skilled in the art will appreciate that the foregoing is by way of example only, and that other existing or future devices, which may be suitable for use in the present application, are also encompassed within the scope of the present application and are hereby incorporated by reference.

In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.

In some embodiments, the method according to the present disclosure may be implemented at a user equipment side, or may be implemented at a network equipment side, or implemented in any other device for determining outdoor risk assessment information, which includes a module, a second module, and a third module described in the present disclosure. For example, the device obtains weather parameter information of one or more sub-target areas in the target area, and analyzes and processes the one or more weather parameter information to obtain outdoor risk assessment information corresponding to the sub-target areas, and for a specific processing process, reference is made to the following corresponding embodiments, which are not described herein again.

In other embodiments, the method according to the present disclosure is implemented at a network device, for example, the network device is configured to receive a query request about outdoor risk assessment information sent by a user device, and the network device provides the outdoor risk assessment information for a user corresponding to the user device based on the query request. For a specific implementation process, please refer to the following corresponding embodiments, which are not described herein.

In some embodiments, the user devices described herein include, but are not limited to, cell phones, computers, tablets, smart helmets, smart watches, and the like.

Fig. 1 shows a flowchart of a method for determining outdoor risk assessment information according to one embodiment of the present application, the method comprising step S11, step S12, and step S13.

Specifically, in step S11, the device obtains weather parameter information of one or more sub-target areas in the target area, where each of the sub-target areas corresponds to one or more weather parameter information. In some embodiments, the target area includes, but is not limited to, a playing field, school, construction site, concert, exhibition. In some embodiments, the target area is divided into one or more sub-target areas, and the device obtains one or more weather parameter information in each sub-target area. In some embodiments, the outdoor risk assessment information corresponding to the sub-target area is determined by analyzing one or more meteorological parameter information collected by the sub-target area. In some embodiments, the meteorological parameter information includes, but is not limited to, temperature, humidity, ultraviolet light, wind speed, wind power, rainfall, and the like. For example, the race circuit of a marathon race is divided (e.g., averaged) into one or more sub-race zones, and the device obtains one or more weather parameter information for each race zone. In the embodiment, the target area is divided into one or more sub-target areas, and the meteorological parameter information of each area in the target area is accurately acquired, so that the purpose of acquiring dead angles without information is achieved; furthermore, through acquiring one or more pieces of meteorological parameter information in the sub-target area, the meteorological parameter information of each corner in the sub-target area is accurately acquired, and then each place of the target area is covered by the acquired meteorological parameter information, so that the outdoor safety of the user at each position in the target area is guaranteed. Of course, it will be understood by those skilled in the art that the target area described herein includes, but is not limited to, outdoor (e.g., outdoor) venues, and that the methods described herein are equally applicable to indoor (i.e., the target area may also be an indoor area) held events, competitions, sporting events, in-classroom events, concerts, shows, exhibitions, casino activity scenes.

In step S12, the device determines the risk level information of the sub-target area according to the one or more weather parameter information corresponding to the sub-target area. In some embodiments, the risk rating information includes, but is not limited to, numerical rating information such as level 1, level 2, level 3; in some embodiments, the risk rating information includes, but is not limited to, color rating information such as green, yellow, red; in some embodiments, the risk level information further includes corresponding textual information, e.g., green, safe; yellow warning, need to replenish moisture in time, etc. In some embodiments, the device determines risk level information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area; in other embodiments, the device calculates risk index information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area, and further determines risk level information of the sub-target area according to the risk index information; in still other embodiments, the device determines the risk level information of the sub-target area according to the risk index information and by combining with at least one weather parameter information corresponding to the sub-target area. For specific embodiments, please refer to the corresponding embodiments below, which are not described herein. In this embodiment, whether the risk of the sub-target area is within the controllable range is determined by the risk level information of the sub-target area. In some embodiments, the risk level information is used as indication information for judging the risk of the sub-target areas, and the risk level information can be output so as to prompt the user of the current risk level, for example, if the equipment determines that the risk level information of a certain sub-target area is a red warning, the risk level information is output through an LED display device or through voice equipment so as to prompt the user of the current risk level, and ensure the outdoor safety of the user.

In step S13, the device determines the outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area, where the outdoor risk assessment information corresponding to the sub-target area matches the scene information of the target area. In some embodiments, the outdoor risk assessment information includes, but is not limited to, sports suggestion information corresponding to the sub-target area, protection suggestion information corresponding to the sub-target area, and the like. In some embodiments, the context information includes, but is not limited to, marathon matches, schools, construction sites, etc. that represent the context in which the user is currently located. In some embodiments, a mapping relationship exists between the risk level information and the outdoor risk assessment information, and the device determines corresponding outdoor risk assessment information from a plurality of mapping relationships based on the determined risk level information. In some embodiments, the outdoor risk assessment information is matched with the scene information of the current target area, for example, in a marathon competition, when the risk level information determined based on the temperature and humidity in the meteorological parameter information is a red warning, the corresponding outdoor risk assessment information is determined as supplementary moisture; for another example, in a school, when the risk level information determined based on the temperature and humidity in the weather parameter information is a red warning, it is determined that the corresponding outdoor risk assessment information is to convert an outdoor physical class into an indoor physical class. In this embodiment, the device continuously analyzes and processes the acquired weather parameter information to determine the outdoor risk assessment information of the sub-target area in time, so as to ensure the safety of the user.

For example, the target area is a field of a marathon game, and the device acquires weather parameter information of one or more game segments (sub-target areas) in the field. And analyzing and processing the meteorological parameter information of each match segment, and determining the risk level information of the corresponding match segment. For example, if the temperature value of the game segment 1 is within the temperature value range corresponding to the risk level 1, it is determined that the risk level of the game segment 1 is level 1, and further, it is determined that the outdoor risk assessment information corresponding to the game segment 1 is acceleration-enabled according to the risk level, so as to remind the competitors of being properly accelerated in the game segment 1. For another example, if the temperature value of the game segment 2 is within the temperature value range corresponding to the risk level 1, but the wind speed value of the game segment 2 is within the wind speed value range corresponding to the risk level 3, the risk level of the game segment 2 is determined to be level 3, and further, the outdoor risk assessment information corresponding to the game segment 2 is determined according to the risk level to pay attention to the influence of the wind speed, and the motion mode is adjusted.

Of course, those skilled in the art will appreciate that the above-described application of the present solution to a marathon race is merely exemplary, and that other existing or future applications may be possible, as applicable, and are intended to be encompassed within the scope of the present application and are hereby incorporated by reference. For example, the scheme can also be applied to building construction and road paving; watching entertainment such as sports games, concerts and the like, parades and exhibitions; outdoor activities in campuses such as physical education classes; outdoor sports such as marathon, cross country, triathlon, etc.; and various works related to meteorological environment, such as security, sanitation, property, and the like.

In some embodiments, the one or more pieces of weather parameter information corresponding to each of the sub-target areas are acquired by the devices through one or more acquisition devices distributed in the sub-target area. In some embodiments, the collection device is configured to collect one or more meteorological parameter information within a corresponding sub-target area, for example, the collection device is comprised of at least one module of a temperature sensor, a humidity sensor, a WBGT thermal index meter, an anemometer, a anemoscope, an ultraviolet probe, a rain sensor, and the like. The target area is divided into one or more sub-target areas, and one or more acquisition devices are arranged in each sub-target area. For example, a collection device is arranged at a high-risk wind control point of a target area; as another example, the acquisition devices are evenly distributed in the target area; for another example, the collection device is installed in a place where the climate change is significantly affected, such as the destination place of the target area and the source place of the water. The collecting device communicates the collected one or more weather parameter information to the device for determining outdoor risk assessment information. Of course, those skilled in the art will appreciate that the above-described distribution of the acquisition devices within the target area is merely exemplary, and other existing or future operations, as may be applicable to the present application, are also intended to be encompassed within the scope of the present application and are hereby incorporated by reference. In this embodiment, the acquisition devices are distributed in each sub-target area to accurately acquire valuable meteorological parameter information in the target area, so that the equipment can accurately determine the risk level information of the corresponding sub-target area according to the acquired meteorological parameter information, and determine the corresponding outdoor risk assessment information based on the risk level information. In some embodiments, the meteorological parameter information is collected data of a sub-target area facing the target area, and therefore, in some embodiments, if a plurality of collecting devices are distributed in the sub-target area, an average value of each meteorological parameter information in each sub-target area may be taken, and then risk level information of the sub-target area is determined; in other embodiments, each weather parameter information in the sub-target area may also be comprehensively analyzed to determine the risk level information of the sub-target area, for example, different weather parameter information corresponds to different weights, and the risk level information of the sub-target area is obtained based on different weight calculations; in still other embodiments, if most of the weather parameter information in the sub-target area is within the preset threshold range, but there is weather parameter information that is not within the preset threshold range, the risk level information corresponding to the sub-target area is determined based on the weather parameter information that is not within the threshold range.

In some embodiments, the step S12 includes a step S121 (not shown) and a step S122.

Specifically, in step S121, the device calculates risk index information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area. In some embodiments, the risk index information includes, but is not limited to, WBGT index (wet bulb black bulb temperature). Of course, those skilled in the art will appreciate that the above described risk index information is by way of example only, and that other existing or future risk index information, as may be applicable to the present application, is also encompassed within the scope of the present application and is hereby incorporated by reference. In some embodiments, the device calculates risk index information for a sub-target area based on at least one weather parameter information corresponding to the sub-target area. In some embodiments, the risk index information may be used to indicate whether the sub-target area is within a controllable risk range.

In step S122, the device determines risk level information of the sub-target area according to the risk index information. In some embodiments, the device determines the risk level information of the sub-target area based on the risk index information, e.g., if the risk index information is 0 to 10, then determines the risk level information of the sub-target area to be level 1; if the risk index information is 10 to 20, determining that the risk grade information of the sub-target area is grade 2; and the risk index information is 20 to 30, and the risk grade information of the sub-target area is determined to be grade 3.

In some embodiments, the weather parameter information includes temperature parameter information and humidity parameter information, and the step S121 includes: and the equipment calculates and acquires the risk index information of the sub-target area according to the temperature parameter information and the humidity parameter information corresponding to the sub-target area. For example, the risk index information is WBGT index, and herein, as will be understood by those skilled in the art, the WBGT index is a basic parameter for comprehensively evaluating the thermal load of the human body exposed to the working environment, and has a unit of ℃. The WBGT is composed of three temperature parts of a black ball, a natural wet ball and a dry ball, and comprehensively considers four factors of air temperature, wind speed, air humidity and radiant heat. The method can be conveniently applied to industrial environment to evaluate the heat intensity of the environment. It is used to evaluate the heat intensity to which the human body is subjected throughout the working cycle, and is not suitable for evaluating the heat intensity in a short time or in the vicinity of a heat comfort zone. In this embodiment, the WBGT index is applied to outdoor security, the WBGT index of a sub-target area is calculated according to the temperature parameter information and the humidity parameter information of the sub-target area, and the risk level information of the sub-target area is determined based on the risk index information. In some embodiments, the equipment obtains weather parameter information (e.g., temperature parameter information, humidity parameter information) of one or more sites (e.g., a place where the collecting equipment is arranged) in a sub-target area, and the equipment calculates WBGT indexes of the sites according to the temperature parameter information and the humidity parameter information of each site, averages the WBGT indexes, and determines an average WBGT index of the sub-target area, so as to determine risk level information of the sub-target area.

The step S122 includes: and the equipment determines the risk grade information of the sub-target area according to the risk index information, wherein the risk grade information is matched with the risk index information. In some embodiments, a mapping relationship exists between the risk level information and the risk index information, and the device queries the risk level information matched with the risk index information based on the determined risk index information. For example, if the risk index information is a WBGT index, and the WBGT index is 30 ℃, the risk level information of the sub-target area is determined to be level 1; determining the risk grade information of the sub-target area to be grade 2 if the WBGT index is 28 ℃; and the WBGT index is 26 ℃, and the risk grade information of the sub-target area is determined to be 3 grade. Of course, those skilled in the art will appreciate that the above-described operations for determining risk classification information based on WBGT indices are merely exemplary, and that other operations, now existing or later to occur, such as may be applicable to the present application, are also intended to be encompassed within the scope of the present application and are hereby incorporated by reference.

In some embodiments, the step S122 includes: and the equipment determines the risk grade information of the sub-target area according to the risk index information and by combining with at least one meteorological parameter information corresponding to the sub-target area. In some embodiments, the risk level information is determined based on not only the risk index information, but also the risk level information is determined by performing a comprehensive analysis on at least one weather parameter information corresponding to the sub-target area. In this embodiment, the purpose of determining the outdoor risk assessment information of the sub-target area by comprehensively considering all the meteorological parameter information acquired by the sub-target area is achieved by combining at least one meteorological parameter information corresponding to the sub-target area, so that the safety is improved.

In some embodiments, the step S122 includes: and if the risk index information is in a preset risk index interval and weather parameter information meeting the risk evaluation condition of the sub-target area exists in at least one piece of weather parameter information corresponding to the sub-target area, determining the risk level information of the sub-target area according to the weather parameter information, wherein the risk level information is matched with the weather parameter information. In some embodiments, when the risk index information is within a preset risk index interval, there may be a case where other weather parameter information needs to provide risk assessment information, and therefore, even if the risk index information is normal, corresponding risk level information needs to be determined based on other legal weather parameter information. In some embodiments, the risk assessment condition includes, but is not limited to, a change rate of the weather parameter information, an interval range of the weather parameter information, a parameter threshold of the weather parameter information, and the like, for example, if the change rate of a certain weather parameter information is greater than a preset change rate threshold, it is determined that the weather parameter information satisfies the risk assessment condition; for another example, if the value of certain weather parameter information is not within the preset interval range, determining that the weather parameter information meets the risk assessment condition; for another example, if the value of a certain weather parameter information is greater than the corresponding preset parameter threshold, it is determined that the weather parameter information satisfies the risk assessment condition. For example, the WBGT index is within a preset index interval, that is, the WBGT index is normal, but there is meteorological parameter information satisfying the risk assessment condition in at least one meteorological parameter information corresponding to the sub-target area (for example, the wind parameter information is greater than a preset wind interval), the device determines the risk level information of the sub-target area based on the wind parameter information (for example, there is a mapping relationship between the wind parameter information and the risk level information, and the risk level information matching with the wind parameter information is queried according to the wind parameter information). In this embodiment, the determination of the risk level information is not only related to the risk index information, but also related to any weather parameter information corresponding to the sub-target areas, so as to more accurately determine the risk level information corresponding to the sub-target areas and timely and accurately reflect the risk level information of each sub-target area. In some embodiments, the risk assessment conditions of the sub-target areas in different scenes are different, for example, also in the scene of the building site, the risk assessment conditions of the sub-target area 1 are different from the risk assessment conditions of the sub-target area 2, so in this embodiment, it is detected that weather parameter information meeting the risk assessment conditions of the sub-target area exists in at least one weather parameter information corresponding to the sub-target area, and further, the risk level information of the sub-target area is determined according to the weather parameter information.

In some embodiments, the step S122 includes: and if the risk index information is in a preset risk index interval and weather parameter information meeting the risk evaluation condition of the sub-target area exists in at least one piece of weather parameter information corresponding to the sub-target area, determining the risk grade information of the sub-target area according to the weather parameter information, wherein the risk evaluation condition is matched with the scene information of the target area to which the sub-target area belongs, and the risk grade information is matched with the weather parameter information. In some embodiments, the same temperature and humidity (e.g., WBGT values) may be different for the 3 scenarios of performing outdoor sports (e.g., scenario 1), watching an outdoor concert (e.g., scenario 2), or attending a paradise (e.g., scenario 3). For example, in strenuous exercise, a human body generates more heat, the body temperature is raised, and risks are caused, but when the person participates in a garden in the open air, the risks in the scenes are not so high, so that the risk assessment conditions corresponding to different scenes are different, and in the same scene, the risk assessment conditions of different sub-target areas are also different. In some embodiments, different scene information corresponds to different risk assessment conditions (e.g., in a marathon competition scene, the corresponding outdoor risk assessment information is more water supplemented; in a school scene, the corresponding outdoor risk assessment information is a change from an outdoor physical class to an indoor physical class). In some embodiments, the risk level information corresponding to the same weather parameter information is different in different scene information, for example, in a scene of a marathon competition, the risk resistance to wind power is smaller, and in a scene of a concert, the risk resistance to wind power is relatively larger, so that the risk level information output by the same weather parameter information is different due to the difference of the scene information. For example, whether the risk index information is within a preset risk index interval (the risk index information is normal) is judged in the specific scene information; and determining the risk level information corresponding to the meteorological parameter information in the specific scene information based on the meteorological parameter information corresponding to the sub-target area. In the embodiment, based on the consideration of different scenes, the application range of the application is expanded, and the practicability is increased. In some embodiments, the step S13 includes: the equipment queries and determines at least one piece of outdoor risk assessment information matched with the risk level information from an outdoor risk assessment information base according to the risk level information of the sub-target areas; and the equipment screens and determines the outdoor risk assessment information corresponding to the sub-target area from the at least one piece of outdoor risk assessment information according to the scene information of the target area to which the sub-target area belongs, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area. In some embodiments, the outdoor risk assessment information corresponding to the same risk level information is different based on different scenarios. For example, under the scene information of outdoor building activities, the corresponding risk assessment information is to increase the shift of the post, appropriately rest, increase the supply of an electric fan and ice water, and increase sun shading; and under the scene information of outdoor sports, the corresponding risk assessment information is to reduce the exercise intensity and supplement electrolyte. In some embodiments, an outdoor risk assessment information base is established in the device, in the outdoor risk assessment information base, a mapping relationship exists between the risk level information and the outdoor risk assessment information, and a mapping relationship exists between the outdoor risk assessment information and the scene information. In some embodiments, the device queries corresponding outdoor risk assessment information from the outdoor risk assessment information base according to the determined risk level information; further, the device judges whether the outdoor risk assessment information is matched with the scene information according to the scene information of the target area to which the sub-target area belongs, and further inquires and determines the outdoor risk assessment information matched with the scene information. In some embodiments, the step S13 includes: and the equipment determines outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area and in combination with one or more pieces of meteorological parameter information corresponding to the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area, and the outdoor risk assessment information corresponding to the sub-target area is matched with at least one piece of meteorological parameter information corresponding to the sub-target area. In some embodiments, the determination of the outdoor risk assessment information is not only determined based on the risk level information, but also needs to be combined with weather parameter information in the sub-target area. And matching the determined outdoor risk assessment information with the meteorological parameter information corresponding to the sub-target area. In this embodiment, the outdoor risk assessment information is determined by comprehensively considering meteorological parameter information collected by sub-target areas, so as to ensure the accuracy of the outdoor risk assessment information.

In some embodiments, the step S13 includes: if the risk level information of the sub-target area is in the risk level interval, and weather parameter information meeting the risk guarantee condition of the sub-target area exists in at least one weather parameter information corresponding to the sub-target area; and the equipment determines outdoor risk assessment information corresponding to the sub-target areas according to the meteorological parameter information meeting the risk guarantee conditions of the sub-target areas, wherein the outdoor risk assessment information corresponding to the sub-target areas is matched with the scene information of the target area, and the outdoor risk assessment information corresponding to the sub-target areas is matched with the meteorological parameter information. In some embodiments, if the risk level information determined based on the weather parameter information is normal (for example, the risk level information is within a preset risk level interval), it is further detected whether the weather parameter information corresponding to the sub-target area has weather parameter information meeting the risk guarantee condition, and if so, the corresponding outdoor risk assessment information is determined according to the weather parameter information. In some embodiments, the risk assurance condition includes, but is not limited to, a change rate of the weather parameter information, an interval range of the weather parameter information, a parameter threshold of the weather parameter information, and the like, for example, if the change rate of a certain weather parameter information is greater than a preset change rate threshold, it is determined that the weather parameter information satisfies the risk assurance condition; for another example, if the value of certain weather parameter information is not within the preset interval range, determining that the weather parameter information meets the risk guarantee condition; for another example, if the value of a certain weather parameter information is greater than the corresponding preset parameter threshold, it is determined that the weather parameter information satisfies the risk guarantee condition. For example, the risk level information is within a preset risk level interval, that is, the risk level information is normal, but meteorological parameter information meeting the risk guarantee condition exists in at least one meteorological parameter information corresponding to the sub-target area (for example, the wind parameter information is greater than a preset wind interval), the device determines the outdoor risk assessment information of the sub-target area based on the wind parameter information (for example, a mapping relation exists between the wind parameter information and the outdoor risk assessment information, and the outdoor risk assessment information matched with the wind parameter information is queried according to the wind parameter information). In this embodiment, the determination of the outdoor risk assessment information is not only related to the risk level information, but also related to any weather parameter information corresponding to the sub-target area, so as to more accurately determine the outdoor risk assessment information corresponding to the sub-target area, and timely and accurately provide the outdoor risk assessment information for the user.

In some embodiments, the method further includes step S14 (not shown), in step S14, the device obtains one or more pieces of predicted weather parameter information corresponding to the sub-target areas; the equipment determines the future risk level information of the sub-target area according to the one or more pieces of predicted meteorological parameter information; and the equipment determines future outdoor risk assessment information corresponding to the sub-target area according to the future risk grade information of the sub-target area, wherein the future outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area. In some embodiments, the device cooperates with a weather service provider to obtain predicted weather parameter information about a target area from a corresponding weather server, and determine future risk level information for the sub-target area based on the predicted weather parameter information, and further determine corresponding outdoor risk assessment information based on the predicted future risk level information, and determine the outdoor risk assessment information as future outdoor risk assessment information. For example, the device obtains weather parameter information (e.g., weather parameter information such as rainfall, wind power, etc.) of the target area tomorrow from a weather server, further determines risk level information of the target area tomorrow based on the weather parameter information, and finally determines future outdoor risk assessment information of the target area based on the risk level information. In some embodiments, the future outdoor risk assessment information also matches the context information of the target area.

In some embodiments, the method further includes step S15 (not shown), in step S15, the device determines an outdoor risk assessment information trend of the sub-target area according to at least one outdoor risk assessment information of the sub-target area within a preset time; and the equipment determines the outdoor risk assessment information of the sub-target area in the next time period according to the outdoor risk assessment information trend. In some embodiments, according to the trend of the outdoor risk assessment information of the sub-target area, the outdoor risk assessment information of the sub-target area at the next time can be determined, so that the user can prepare in advance. In some embodiments, the preset time includes, but is not limited to, time points of 7, 8, etc.; in some embodiments, the preset time includes, but is not limited to, a time period of 6-7 points. In some embodiments, the device statistically records risk level information of a sub-target area at a certain time (time point or time period), and determines the risk level information of the sub-target area at the next time based on the trend of the risk level information of the sub-target area at the time, thereby determining outdoor risk assessment information of the sub-target area at the next time. In some embodiments, the device statistics record outdoor risk assessment information of a sub-target area at a certain time (time point or time period), and determine the outdoor risk assessment information of the sub-target area at the next time based on the trend of the outdoor risk assessment information of the sub-target area at the time. In other embodiments, the device statistically records weather parameter information of a sub-target area at a certain time (time point or time period), determines a trend of the risk level information of the sub-target area at the certain time based on the trend of the weather parameter information of the sub-target area at the certain time, further determines the risk level information of the sub-target area at the next time, and finally determines the outdoor risk assessment information of the sub-target area at the next time. In still other embodiments, the device statistically records risk index information of a sub-target area at a certain time (time point or time period), determines a trend of the risk index information of the sub-target area at the certain time based on the trend of the risk index information of the sub-target area at the certain time, further determines risk index information of the sub-target area at the next time, and finally determines outdoor risk assessment information of the sub-target area at the next time. For example, the target area is a marathon event area, the marathon starts running at 7 o ' clock, the sunrise time of the day is 6 o ' clock, the WBGT index (risk index information) continuously increases from 7 o ' clock to 8 o ' clock, it can be determined that 9 o ' clock is higher, the risk index information at 9 o ' clock is determined in advance according to the trend, corresponding risk level information is determined based on the risk index information, and the outdoor risk assessment information at 9 o ' clock is determined according to the risk level information, so that preparation is made in advance.

In some embodiments, the one or more weather parameter information for the sub-target areas is acquired by the acquisition device. For example, the collecting device is composed of modules such as a temperature sensor, a humidity sensor, an air pressure sensor and the like. In some embodiments, the weather parameter information includes at least one of:

temperature parameter information. For example, temperature parameter information collected by a temperature sensor.

Humidity parameter information. For example, a humidity sensor acquired by a humidity sensor.

And (4) air pressure parameter information. For example, the obtained air pressure parameter information is collected by an air pressure sensor.

Ultraviolet parameter information. The obtained uv parameter information is collected, for example, by a uv index meter.

And (4) wind speed parameter information. For example, the wind speed parameter information is collected by a wind speed measuring instrument.

And wind direction parameter information. For example, the wind direction parameter information is collected by a wind direction measuring instrument.

Rainfall parameter information. For example, the acquired rainfall parameter information is collected by a rain gauge.

Cloud map information. For example, cloud map information covering the target area or the sub-target area is acquired from a server corresponding to a weather service provider.

Here, it should be understood by those skilled in the art that, in some embodiments, one or more meteorological parameter information of the corresponding site is acquired by one or more acquisition devices disposed in the sub-target area. In some embodiments, the acquisition device is electrically connected with the device, so that the device acquires the meteorological parameter information acquired by the acquisition device; in other embodiments, the collecting device and the device are both provided with a communication module, and the collecting device sends the collected meteorological parameter information to the device to be analyzed and processed by the device. In some embodiments, the device averages the weather parameter information in each sub-target area to obtain the overall weather parameter information in the sub-target area; in other embodiments, the device analyzes each weather parameter information, determines corresponding risk level information based on each weather parameter information, and determines corresponding outdoor risk assessment information.

In some embodiments, the outdoor risk assessment information includes at least one of:

(1) and the motion suggestion information corresponding to the sub-target area. In some embodiments, the athletic advice information includes, but is not limited to, timely water replenishment, sun exposure attention, water accumulation attention, deceleration, and the like. For example, in a marathon race, when the day is a hot weather, if there is a shade in some places and there is no shade in some places, then the race without shade needs to remind the participants of sports advice information for insolation, moisture replenishment, and electrolyte replenishment.

(2) And protection suggestion information corresponding to the sub-target area. In some embodiments, the protection recommendation information includes, but is not limited to, attention to water logging, attention to wind effects, current wind exceeding wind resistance, attention to protection, and the like. For example, in a building site, if the increasing rate of the rainfall parameter information in the meteorological parameter information corresponding to the sub-target area is greater than a preset rate value, the protection suggestion information of the sub-target area is determined to be 'water accumulation attention'.

(3) And the risk prevention suggestions corresponding to the sub-target areas. In some embodiments, the risk prevention recommendations include, but are not limited to, adjusting supplies and staffing based on certain risk changes. For example, a water station is added to a sub-target area to supply ice water and spray water.

(4) And risk management information corresponding to the sub-target areas. In some embodiments, the risk management information includes, but is not limited to, work schedules corresponding to overall event management and medical care. For example, the risk level information in a certain sub-target area increases (for example, an increase in the risk level indicates that there is a certain risk in the sub-target area), and as the risk level information increases, the density of persons and materials in the sub-target area needs to be increased.

Of course, those skilled in the art will appreciate that the outdoor risk assessment information described above is merely exemplary, and that other outdoor risk assessment information that may be present or that may later appear, such as may be applicable to the present application, is also encompassed within the scope of the present application and is hereby incorporated by reference.

Fig. 2 and 3 show system topologies according to two exemplary embodiments of the present application, respectively. And sending a query request to the network equipment by the user equipment to request the network equipment to return corresponding outdoor risk assessment information to the user equipment. Of course, those skilled in the art will appreciate that the system topologies illustrated in fig. 2 and 3 are merely exemplary, and that other existing or future system topologies may be utilized and are intended to be encompassed within the scope of the present application and are hereby incorporated by reference.

In particular, fig. 2 illustrates a system topology diagram for determining outdoor risk assessment information according to one embodiment of the present application. In this embodiment, the user equipment includes, but is not limited to, a mobile phone, a computer, a tablet computer, and other terminal equipment. In some embodiments, the user device has a corresponding application installed therein, and the network device is a server corresponding to the application. For example, a user carries a user device, and sends a query request about outdoor risk assessment information to a corresponding network device through the user device, so as to request the network device to return the corresponding outdoor risk assessment information, and make sufficient preparation for outdoor activities. One or more acquisition devices distributed in the target area transmit (for example, the acquisition devices comprise communication modules through which information transmission with the network devices is completed) the acquired meteorological parameter information to the corresponding network devices, and the network devices acquire one or more meteorological parameter information in each sub-target area in the target area.

FIG. 3 illustrates a system topology diagram for determining outdoor risk assessment information according to another embodiment of the present application. In this embodiment, the user device includes, but is not limited to, a terminal device such as a smart helmet and a smart watch. For example, the user equipment is worn by the competitors, the medical personnel for the competition and the competition security personnel, the query request about the outdoor risk assessment information is sent to the corresponding network equipment through the user equipment to request the network equipment to return the corresponding outdoor risk assessment information, and the competitors know the conditions of risk information, risk change and the like of each place of the competition in real time according to the equipment such as intelligent helmets, intelligent watches and the like worn by the competitors so as to make motion adjustment in time; the medical personnel, the event support personnel and the like know the information such as risk condition, risk change and the like of each place in the event match in real time so as to adjust the density of personnel and materials distributed to each place in time. One or more acquisition devices distributed in the target area transmit (for example, the acquisition devices comprise communication modules through which information transmission with the network devices is completed) the acquired meteorological parameter information to the corresponding network devices, and the network devices acquire one or more meteorological parameter information in each sub-target area in the target area.

Fig. 4 shows a flow chart of a method applicable to the system of fig. 2 or 3. The method comprises the following steps:

the method comprises the steps that user equipment sends an inquiry request about outdoor risk assessment information to network equipment, wherein the inquiry request comprises position information of the user equipment;

the network equipment receives the query request, and acquires one or more pieces of meteorological parameter information matched with the position information according to the position information, wherein the one or more pieces of meteorological parameter information correspond to a sub-target area in a target area, and the position information is covered in the sub-target area; determining outdoor risk assessment information corresponding to the user equipment according to the one or more pieces of meteorological parameter information;

the network equipment sends the outdoor risk assessment information to the user equipment;

the user equipment receives the outdoor risk assessment information.

Fig. 5 illustrates a flow diagram of a method for determining outdoor risk assessment information according to another embodiment of the present application. The method includes step S21, step S22, step S23, and step S24.

Specifically, in step S21, the network device receives an inquiry request about outdoor risk assessment information sent by a user device, where the inquiry request includes location information where the user device is located. In some embodiments, the location information includes a specific location within a sub-target area where the user is located, and the user equipment sends the specific location information where the user is located to the network equipment through GPS positioning, for example. In other embodiments, the location information may also be user-specified location information, for example, the user enters a target location in a user device and sends outdoor risk assessment information about the target location to the network device. In some embodiments, the user equipment has a corresponding application installed therein (for example, a corresponding application APP is installed in a mobile phone, or a corresponding applet), the application includes a query button, and the user sends a query request about outdoor risk assessment information to a corresponding network device by clicking the query button.

In step S22, one or more weather parameter information matching the location information is obtained according to the location information, where the one or more weather parameter information corresponds to a sub-target area, and the location information is covered in the sub-target area. In some embodiments, the network device matches one or more weather parameter information for the user device based on the location information of the user device. For example, the user device obtains weather parameter information sent by one or more acquisition devices, and in some embodiments, the network device determines, based on the device identification information of the acquisition devices, specific location information of the acquisition devices in the sub-target area (for example, a acquisition device database is provided in the network device, and a specific distribution location of each acquisition device in the target area is recorded in the acquisition device database, and a mapping relationship exists between the device identification information of each acquisition device and the distribution location where the acquisition device is located). And the network equipment matches one or more pieces of weather parameter information corresponding to the user equipment for the user equipment according to the position information in the query request and the position information corresponding to the acquired weather parameter information. In some embodiments, the target area includes, but is not limited to, a marathon race, school, construction site, or the like. In some embodiments, the sub-target areas are partial areas in the corresponding target area. Of course, it should be understood by those skilled in the art that, in some embodiments, the network device may also automatically send the outdoor risk assessment information to the user device, for example, the user device is a smart helmet, a smart watch, or the like, and after the user opens the device button, the network device automatically obtains the location information of the user device and queries and matches one or more pieces of weather parameter information for the user device. For example, after a contestant or a logistics support person wears a particular device (e.g., a smart helmet, a smart watch), the network device automatically sends outdoor risk assessment information to the user device.

In step S23, outdoor risk assessment information corresponding to the user equipment is determined according to the one or more weather parameter information. For a detailed description of determining corresponding outdoor risk assessment information according to one or more weather parameter information, please refer to the corresponding embodiments, which are not described herein again. For example, a mapping relationship exists between the outdoor risk assessment information and the risk level information, the network device determines the risk level information of the location of the user equipment according to the one or more weather parameter information, and determines the corresponding outdoor risk assessment information based on the risk level information; here, the determination of the risk level information may be based on the determination of risk index information (e.g., WBGT index); or at least one of the one or more pieces of weather parameter information is determined, for example, a change rate of one piece of weather parameter information is higher than a preset change rate, and the corresponding risk level information is determined to be a high-level early warning; the risk level information may also be determined based on the risk index information and in combination with at least one weather parameter information, for example, if the risk index information (e.g., WBGT index) is within a preset index interval, but a weather parameter information having a change rate greater than a preset change rate value, the corresponding risk level information is determined based on the weather parameter information. For another example, weather parameter information and outdoor risk assessment information have a mapping relationship, and the network device determines corresponding outdoor risk assessment information according to the one or more pieces of weather parameter information, for example, if a value of weather parameter information in the corresponding one or more pieces of weather parameter information is greater than a preset parameter threshold value, the corresponding outdoor risk assessment information is determined based on the weather parameter information; for another example, if the risk index information determined based on at least one weather parameter information is within a preset index interval, but a value of the weather parameter information is greater than a preset parameter threshold, the corresponding outdoor risk assessment information is determined based on the weather parameter information. In this embodiment, the risk change situation of the corresponding specific position is determined through the meteorological parameter information, and the corresponding outdoor risk assessment information is given based on the risk change situation, so as to ensure the safety of the user outdoors. In some embodiments, the ensuring operation is performed continuously, for example, after the network device obtains the query request sent by the user device, the network device continuously analyzes the user in real time, and provides outdoor risk assessment information to the user.

In step S24, the outdoor risk assessment information is sent to the user equipment. In some embodiments, after receiving the outdoor risk assessment information, the user equipment presents the outdoor risk assessment information in a voice manner; in some embodiments, the user equipment receives the outdoor risk assessment information and then presents the outdoor risk assessment information in a text mode.

In some embodiments, the step S22 includes: the network equipment determines a sub-target area covering the position information according to the position information; and acquiring one or more pieces of weather parameter information corresponding to the target sub-area from one or more pieces of acquisition equipment in the sub-target area to serve as one or more pieces of weather parameter information matched with the position information, wherein the one or more pieces of acquisition equipment are distributed and arranged in one sub-target area in the target area. In some embodiments, the collection device is distributed and set in each sub-target area in the target area. In some embodiments, the network device determines, based on the device identification information of the acquisition device, specific location information of the acquisition device in the sub-target area (for example, a acquisition device database is provided in the network device, the acquisition device database records a specific distribution location of each acquisition device in the target area, and a mapping relationship exists between the device identification information of each acquisition device and the distribution location where the acquisition device is located). And the network equipment matches one or more pieces of weather parameter information corresponding to the user equipment for the user equipment according to the position information in the query request and the position information corresponding to the acquired weather parameter information. In some embodiments, the target area includes, but is not limited to, a marathon race, school, construction site, or the like. In some embodiments, the sub-target areas are partial areas in the corresponding target area.

In some embodiments, the query request includes context information about a target outdoor context; the determining the sub-target area covering the position information according to the position information comprises: determining the target outdoor scene according to the scene information in the query request; and determining a sub-target area covering the position information from the target area corresponding to the target outdoor scene according to the position information. In some embodiments, the query request received by the network device includes scene information of a target outdoor scene, and the network device determines the target outdoor scene corresponding to the user according to the scene information in the query request. After the network equipment determines the target outdoor scene, the sub-target area covering the position information is determined from the target area corresponding to the target outdoor scene based on the position information. For example, the target outdoor scene corresponds to a plurality of target areas, each of which corresponds to one or more sub-target areas of its own, and after the network device determines the target outdoor scene, the network device queries, from the plurality of target areas corresponding to the target outdoor scene, a target area covering the location information according to the location information of the user, and further queries, from the one or more sub-target areas corresponding to the target area, a sub-target area covering the location information according to the location information. In some embodiments, the target outdoor scene includes a scene corresponding to a sub-target area where the current location information of the user is located. In some embodiments, the scene information corresponding to the same location information may be different, for example, the same location information a may hold a marathon game at time t1, or hold a concert at time t2, according to the scheme of this embodiment, when the user equipment sends an inquiry request to the network equipment, the inquiry request includes the scene information of the corresponding target outdoor scene, so that the network equipment determines the corresponding outdoor risk assessment information for the user inquiry based on the scene information actually corresponding to the user. In some embodiments, the user may set the scene information of the corresponding target outdoor scene by himself/herself through the corresponding user device, for example, when the user a is currently in a sports class and sends the query request to the network device, the user a may set the corresponding scene information as a sports class. In some embodiments, the context information includes, but is not limited to, building construction, road paving; watching entertainment such as sports games, concerts and the like, parades and exhibitions; outdoor activities in campuses such as physical education classes; outdoor sports such as marathon, cross country, triathlon, etc.; and various works related to meteorological environment, such as security, sanitation, property, and the like.

In some embodiments, the step S23 includes: the network equipment determines the risk level information of the sub-target area according to the one or more meteorological parameter information; and the network equipment determines outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area and the scene information in the query request, and determines the outdoor risk assessment information as the outdoor risk assessment information corresponding to the user equipment, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the target outdoor scene. In some embodiments, the risk rating information includes, but is not limited to, numerical rating information such as level 1, level 2, level 3; in some embodiments, the risk rating information includes, but is not limited to, color rating information such as green, yellow, red; in some embodiments, the risk level information further includes corresponding textual information, e.g., green, safe; yellow warning, need to replenish moisture in time, etc. In some embodiments, the device determines risk level information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area; in other embodiments, the device calculates risk index information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area, and further determines risk level information of the sub-target area according to the risk index information; in still other embodiments, the device determines the risk level information of the sub-target area according to the risk index information and by combining with at least one weather parameter information corresponding to the sub-target area. For specific embodiments, please refer to the corresponding embodiments below, which are not described herein. In this embodiment, whether the risk of the sub-target area is within the controllable range is determined by the risk level information of the sub-target area. In some embodiments, the risk level information is used as indication information for judging the risk of the sub-target areas, and the risk level information can be output so as to prompt the user of the current risk level, for example, if the equipment determines that the risk level information of a certain sub-target area is a red warning, the risk level information is output through an LED display device or through voice equipment so as to prompt the user of the current risk level, and ensure the outdoor safety of the user. In some embodiments, the outdoor risk assessment information includes, but is not limited to, sports suggestion information corresponding to the sub-target area, protection suggestion information corresponding to the sub-target area, and the like. In some embodiments, the context information includes, but is not limited to, marathon matches, schools, construction sites, etc. that represent the context in which the user is currently located. In some embodiments, a mapping relationship exists between the risk level information and the outdoor risk assessment information, and the device determines corresponding outdoor risk assessment information from a plurality of mapping relationships based on the determined risk level information. In some embodiments, the outdoor risk assessment information is matched with the scene information of the current target area, for example, in a marathon competition, when the risk level information determined based on the temperature and humidity in the meteorological parameter information is a red warning, the corresponding outdoor risk assessment information is determined as supplementary moisture; for another example, in a school, when the risk level information determined based on the temperature and humidity in the weather parameter information is a red warning, it is determined that the corresponding outdoor risk assessment information is to convert an outdoor physical class into an indoor physical class. In this embodiment, the device continuously analyzes and processes the acquired weather parameter information to determine the outdoor risk assessment information of the sub-target area in time, so as to ensure the safety of the user.

Here, it should be noted that the method corresponding to fig. 5 is also applicable to the embodiment corresponding to the method of fig. 1, and is not described herein again.

Fig. 6 shows a block diagram of an apparatus for determining outdoor risk assessment information according to one embodiment of the present application, the apparatus including one module, two modules, and three modules.

Specifically, the one-to-one module is used for acquiring meteorological parameter information of one or more sub-target areas in a target area, wherein each sub-target area corresponds to one or more meteorological parameter information. In some embodiments, the target area includes, but is not limited to, a playing field, school, construction site, concert, exhibition. In some embodiments, the target area is divided into one or more sub-target areas, and the device obtains one or more weather parameter information in each sub-target area. In some embodiments, the outdoor risk assessment information corresponding to the sub-target area is determined by analyzing one or more meteorological parameter information collected by the sub-target area. In some embodiments, the meteorological parameter information includes, but is not limited to, temperature, humidity, ultraviolet light, wind speed, wind power, rainfall, and the like. For example, the race circuit of a marathon race is divided (e.g., averaged) into one or more sub-race zones, and the device obtains one or more weather parameter information for each race zone. In the embodiment, the target area is divided into one or more sub-target areas, and the meteorological parameter information of each area in the target area is accurately acquired, so that the purpose of acquiring dead angles without information is achieved; furthermore, through acquiring one or more pieces of meteorological parameter information in the sub-target area, the meteorological parameter information of each corner in the sub-target area is accurately acquired, and then each place of the target area is covered by the acquired meteorological parameter information, so that the outdoor safety of the user at each position in the target area is guaranteed. Of course, it will be understood by those skilled in the art that the target area described herein includes, but is not limited to, outdoor (e.g., outdoor) venues, and that the apparatus described herein is equally applicable to indoor (i.e., the target area may also be an indoor area) held events, competitions, sporting events, in-classroom events, concerts, shows, exhibitions, casino activity scenes.

And the second module is used for determining the risk level information of the sub-target area according to one or more meteorological parameter information corresponding to the sub-target area. In some embodiments, the risk rating information includes, but is not limited to, numerical rating information such as level 1, level 2, level 3; in some embodiments, the risk rating information includes, but is not limited to, color rating information such as green, yellow, red; in some embodiments, the risk level information further includes corresponding textual information, e.g., green, safe; yellow warning, need to replenish moisture in time, etc. In some embodiments, the device determines risk level information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area; in other embodiments, the device calculates risk index information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area, and further determines risk level information of the sub-target area according to the risk index information; in still other embodiments, the device determines the risk level information of the sub-target area according to the risk index information and by combining with at least one weather parameter information corresponding to the sub-target area. For specific embodiments, please refer to the corresponding embodiments below, which are not described herein. In this embodiment, whether the risk of the sub-target area is within the controllable range is determined by the risk level information of the sub-target area. In some embodiments, the risk level information is used as indication information for judging the risk of the sub-target areas, and the risk level information can be output so as to prompt the user of the current risk level, for example, if the equipment determines that the risk level information of a certain sub-target area is a red warning, the risk level information is output through an LED display device or through voice equipment so as to prompt the user of the current risk level, and ensure the outdoor safety of the user.

And the third module is used for determining the outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area. In some embodiments, the outdoor risk assessment information includes, but is not limited to, sports suggestion information corresponding to the sub-target area, protection suggestion information corresponding to the sub-target area, and the like. In some embodiments, the context information includes, but is not limited to, marathon matches, schools, construction sites, etc. that represent the context in which the user is currently located. In some embodiments, a mapping relationship exists between the risk level information and the outdoor risk assessment information, and the device determines corresponding outdoor risk assessment information from a plurality of mapping relationships based on the determined risk level information. In some embodiments, the outdoor risk assessment information is matched with the scene information of the current target area, for example, in a marathon competition, when the risk level information determined based on the temperature and humidity in the meteorological parameter information is a red warning, the corresponding outdoor risk assessment information is determined as supplementary moisture; for another example, in a school, when the risk level information determined based on the temperature and humidity in the weather parameter information is a red warning, it is determined that the corresponding outdoor risk assessment information is to convert an outdoor physical class into an indoor physical class. In this embodiment, the device continuously analyzes and processes the acquired weather parameter information to determine the outdoor risk assessment information of the sub-target area in time, so as to ensure the safety of the user.

In some embodiments, the one or more meteorological parameter information corresponding to each of the sub-target areas is acquired by one or more acquisition devices distributed in the sub-target area. In some embodiments, the collection device is configured to collect one or more meteorological parameter information within a corresponding sub-target area, for example, the collection device is comprised of at least one module of a temperature sensor, a humidity sensor, a WBGT thermal index meter, an anemometer, a anemoscope, an ultraviolet probe, a rain sensor, and the like. The target area is divided into one or more sub-target areas, and one or more acquisition devices are arranged in each sub-target area. For example, a collection device is arranged at a high-risk wind control point of a target area; as another example, the acquisition devices are evenly distributed in the target area; for another example, the collection device is installed in a place where the climate change is significantly affected, such as the destination place of the target area and the source place of the water. The collecting device communicates the collected one or more weather parameter information to the device for determining outdoor risk assessment information. Of course, those skilled in the art will appreciate that the above-described distribution of the acquisition devices within the target area is merely exemplary, and other existing or future operations, as may be applicable to the present application, are also intended to be encompassed within the scope of the present application and are hereby incorporated by reference. In this embodiment, the acquisition devices are distributed in each sub-target area to accurately acquire valuable meteorological parameter information in the target area, so that the equipment can accurately determine the risk level information of the corresponding sub-target area according to the acquired meteorological parameter information, and determine the corresponding outdoor risk assessment information based on the risk level information. In some embodiments, the meteorological parameter information is collected data of a sub-target area facing the target area, and therefore, in some embodiments, if a plurality of collecting devices are distributed in the sub-target area, an average value of each meteorological parameter information in each sub-target area may be taken, and then risk level information of the sub-target area is determined; in other embodiments, each weather parameter information in the sub-target area may also be comprehensively analyzed to determine the risk level information of the sub-target area, for example, different weather parameter information corresponds to different weights, and the risk level information of the sub-target area is obtained based on different weight calculations; in still other embodiments, if most of the weather parameter information in the sub-target area is within the preset threshold range, but there is weather parameter information that is not within the preset threshold range, the risk level information corresponding to the sub-target area is determined based on the weather parameter information that is not within the threshold range.

In some embodiments, the two modules include a one-two-one module (not shown) and a two-two module.

Specifically, the second-one module is configured to calculate risk index information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area.

And the second module and the third module are used for determining the risk grade information of the sub-target areas according to the risk index information.

Here, examples of specific implementations of the first, second, and third modules are the same as or similar to the embodiments of the step S121 and the step S122, and therefore are not repeated herein, and are included herein by reference.

In some embodiments, the weather parameter information includes temperature parameter information and humidity parameter information, and the one-two-one module is configured to calculate and acquire risk index information of the sub-target area according to the temperature parameter information and the humidity parameter information corresponding to the sub-target area.

And the second-second module is used for determining the risk grade information of the sub-target areas according to the risk index information, wherein the risk grade information is matched with the risk index information.

In some embodiments, the second module and the third module are configured to determine, according to the risk index information and in combination with at least one weather parameter information corresponding to the sub-target area, risk level information of the sub-target area.

Here, the specific implementation of the first module, the second module, and the third module is the same as or similar to the embodiment of the step S122, and therefore, the detailed description is omitted, and the detailed implementation is incorporated herein by reference.

In some embodiments, the one or two modules are to: and if the risk index information is in a preset risk index interval and weather parameter information meeting the risk guarantee conditions of the sub-target areas exists in at least one piece of weather parameter information corresponding to the sub-target areas, determining the risk level information of the sub-target areas according to the weather parameter information, wherein the risk level information is matched with the weather parameter information.

In some embodiments, the one or two modules are to: and if the risk index information is in a preset risk index interval and weather parameter information meeting the risk guarantee condition of the sub-target area exists in at least one piece of weather parameter information corresponding to the sub-target area, determining the risk grade information of the sub-target area according to the weather parameter information, wherein the risk guarantee condition is matched with the scene information of the target area to which the sub-target area belongs, and the risk grade information is matched with the weather parameter information.

In some embodiments, the third module is configured to query and determine at least one piece of outdoor risk assessment information matching the risk level information from an outdoor risk assessment information base according to the risk level information of the sub-target areas; and the equipment screens and determines the outdoor risk assessment information corresponding to the sub-target area from the at least one piece of outdoor risk assessment information according to the scene information of the target area to which the sub-target area belongs, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area.

Here, the example of the specific implementation manner of the three modules is the same as or similar to the embodiment of the step S13, and therefore, the description thereof is omitted, and the detailed implementation manner of the three modules is incorporated herein by reference.

In some embodiments, the one or three modules are configured to: and the equipment determines outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area and in combination with one or more pieces of meteorological parameter information corresponding to the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area, and the outdoor risk assessment information corresponding to the sub-target area is matched with at least one piece of meteorological parameter information corresponding to the sub-target area.

In some embodiments, the one or three modules are configured to: if the risk level information of the sub-target area is in the risk level interval, and weather parameter information meeting the risk guarantee condition of the sub-target area exists in at least one weather parameter information corresponding to the sub-target area; and the equipment determines outdoor risk assessment information corresponding to the sub-target areas according to the meteorological parameter information meeting the risk guarantee conditions of the sub-target areas, wherein the outdoor risk assessment information corresponding to the sub-target areas is matched with the scene information of the target area, and the outdoor risk assessment information corresponding to the sub-target areas is matched with the meteorological parameter information.

In some embodiments, the apparatus further includes a fourth module (not shown), a fourth module, configured to obtain one or more pieces of predicted weather parameter information corresponding to the sub-target areas; determining future risk level information of the sub-target areas according to the one or more pieces of predicted weather parameter information; and determining future outdoor risk assessment information corresponding to the sub-target area according to the future risk grade information of the sub-target area, wherein the future outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area.

Here, the specific implementation of the above-mentioned four modules, two modules and three modules is the same as or similar to the embodiment of the above-mentioned step S14, step S12 and step S13, and therefore, the detailed description thereof is omitted, and the detailed implementation is incorporated herein by reference.

In some embodiments, the apparatus further includes a fifth module (not shown), which is configured to determine an outdoor risk assessment information trend of the sub-target area according to at least one outdoor risk assessment information of the sub-target area within a preset time; and the equipment determines the outdoor risk assessment information of the sub-target area in the next time period according to the outdoor risk assessment information trend.

Here, the implementation of the above-mentioned one-five module is the same as or similar to the embodiment of the step S15, and therefore is not repeated here, and is included herein by reference

FIG. 7 illustrates an equipment block diagram of a network device for determining outdoor risk assessment information according to another embodiment of the present application. The device comprises two-in-one modules, two-in-two modules, two-in-three modules and two-in-four modules.

Specifically, the system comprises a first module and a second module, wherein the first module is used for receiving an inquiry request about outdoor risk assessment information, which is sent by user equipment, and the inquiry request comprises location information where the user equipment is located. In some embodiments, the location information includes a specific location within a sub-target area where the user is located, and the user equipment sends the specific location information where the user is located to the network equipment through GPS positioning, for example. In other embodiments, the location information may also be user-specified location information, for example, the user enters a target location in a user device and sends outdoor risk assessment information about the target location to the network device. In some embodiments, the user device has a corresponding application installed therein, the application includes a query button, and the user sends a query request about the outdoor risk assessment information to the corresponding network device by clicking the query button.

And a second module, configured to obtain one or more pieces of weather parameter information matched with the location information according to the location information, where the one or more pieces of weather parameter information correspond to a sub-target area, and the location information is covered in the sub-target area. In some embodiments, the network device matches one or more weather parameter information for the user device based on the location information of the user device. For example, the user device obtains weather parameter information sent by one or more acquisition devices, and in some embodiments, the network device determines, based on the device identification information of the acquisition devices, specific location information of the acquisition devices in the sub-target area (for example, a acquisition device database is provided in the network device, and a specific distribution location of each acquisition device in the target area is recorded in the acquisition device database, and a mapping relationship exists between the device identification information of each acquisition device and the distribution location where the acquisition device is located). And the network equipment matches one or more pieces of weather parameter information corresponding to the user equipment for the user equipment according to the position information in the query request and the position information corresponding to the acquired weather parameter information. In some embodiments, the target area includes, but is not limited to, a marathon race, school, construction site, or the like. In some embodiments, the sub-target areas are partial areas in the corresponding target area. Of course, it should be understood by those skilled in the art that, in some embodiments, the network device may also automatically send the outdoor risk assessment information to the user device, for example, the user device is a smart helmet, a smart watch, or the like, and after the user opens the device button, the network device automatically obtains the location information of the user device and queries and matches one or more pieces of weather parameter information for the user device. For example, after a contestant or a logistics support person wears a particular device (e.g., a smart helmet, a smart watch), the network device automatically sends outdoor risk assessment information to the user device.

And a second module and a third module, which are used for determining the outdoor risk assessment information corresponding to the user equipment according to the one or more weather parameter information. For a detailed description of determining corresponding outdoor risk assessment information according to one or more weather parameter information, please refer to the corresponding embodiments, which are not described herein again. For example, a mapping relationship exists between the outdoor risk assessment information and the risk level information, the network device determines the risk level information of the location of the user equipment according to the one or more weather parameter information, and determines the corresponding outdoor risk assessment information based on the risk level information; here, the determination of the risk level information may be based on the determination of risk index information (e.g., WBGT index); or at least one of the one or more pieces of weather parameter information is determined, for example, a change rate of one piece of weather parameter information is higher than a preset change rate, and the corresponding risk level information is determined to be a high-level early warning; the risk level information may also be determined based on the risk index information and in combination with at least one weather parameter information, for example, if the risk index information (e.g., WBGT index) is within a preset index interval, but a weather parameter information having a change rate greater than a preset change rate value, the corresponding risk level information is determined based on the weather parameter information. For another example, weather parameter information and outdoor risk assessment information have a mapping relationship, and the network device determines corresponding outdoor risk assessment information according to the one or more pieces of weather parameter information, for example, if a value of weather parameter information in the corresponding one or more pieces of weather parameter information is greater than a preset parameter threshold value, the corresponding outdoor risk assessment information is determined based on the weather parameter information; for another example, if the risk index information determined based on at least one weather parameter information is within a preset index interval, but a value of the weather parameter information is greater than a preset parameter threshold, the corresponding outdoor risk assessment information is determined based on the weather parameter information. In this embodiment, the risk change situation of the corresponding specific position is determined through the meteorological parameter information, and the corresponding outdoor risk assessment information is given based on the risk change situation, so as to ensure the safety of the user outdoors. In some embodiments, the ensuring operation is performed continuously, for example, after the network device obtains the query request sent by the user device, the network device continuously analyzes the user in real time, and provides outdoor risk assessment information to the user.

And the second module and the fourth module are used for sending the outdoor risk assessment information to the user equipment. In some embodiments, after receiving the outdoor risk assessment information, the user equipment presents the outdoor risk assessment information in a voice manner; in some embodiments, the user equipment receives the outdoor risk assessment information and then presents the outdoor risk assessment information in a text mode.

In some embodiments, the second module is configured to determine, according to the location information, to cover the location information sub-target area; and acquiring one or more pieces of weather parameter information corresponding to the target sub-area from one or more pieces of acquisition equipment in the sub-target area to serve as one or more pieces of weather parameter information matched with the position information, wherein the one or more pieces of acquisition equipment are distributed and arranged in one sub-target area in the target area.

Here, the specific implementation of the two modules is the same as or similar to the embodiment of the step S22, and therefore, the detailed description is omitted, and the detailed implementation is incorporated herein by reference.

In some embodiments, the query request includes context information about a target outdoor context; the determining the sub-target area covering the position information according to the position information comprises: determining the target outdoor scene according to the scene information in the query request; and determining a sub-target area covering the position information from the target area corresponding to the target outdoor scene according to the position information. In some embodiments, the query request received by the network device includes scene information of a target outdoor scene, and the network device determines the target outdoor scene corresponding to the user according to the scene information in the query request. After the network equipment determines the target outdoor scene, the sub-target area covering the position information is determined from the target area corresponding to the target outdoor scene based on the position information. For example, the target outdoor scene corresponds to a plurality of target areas, each of which corresponds to one or more sub-target areas of its own, and after the network device determines the target outdoor scene, the network device queries, from the plurality of target areas corresponding to the target outdoor scene, a target area covering the location information according to the location information of the user, and further queries, from the one or more sub-target areas corresponding to the target area, a sub-target area covering the location information according to the location information. In some embodiments, the target outdoor scene includes a scene corresponding to a sub-target area where the current location information of the user is located. In some embodiments, the scene information corresponding to the same location information may be different, for example, the same location information a may hold a marathon game at time t1, or hold a concert at time t2, according to the scheme of this embodiment, when the user equipment sends an inquiry request to the network equipment, the inquiry request includes the scene information of the corresponding target outdoor scene, so that the network equipment determines the corresponding outdoor risk assessment information for the user inquiry based on the scene information actually corresponding to the user. In some embodiments, the user may set the scene information of the corresponding target outdoor scene by himself/herself through the corresponding user device, for example, when the user a is currently in a sports class and sends the query request to the network device, the user a may set the corresponding scene information as a sports class.

In some embodiments, the second and third modules are configured to determine risk level information of the sub-target area according to the one or more weather parameter information; and the network equipment determines outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area and the scene information in the query request, and determines the outdoor risk assessment information as the outdoor risk assessment information corresponding to the user equipment, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the target outdoor scene.

Here, the example of the specific implementation manner of the two or three modules is the same as or similar to the embodiment of the step S23, and therefore, the description thereof is omitted, and the detailed implementation manner of the two or three modules is incorporated herein by reference.

Here, it should be noted that the method corresponding to fig. 7 is also applicable to the embodiment corresponding to the apparatus in fig. 6, and is not described herein again.

The present application also provides a computer readable storage medium having stored thereon computer code which, when executed, performs a method as in any one of the preceding.

The present application also provides a computer program product, which when executed by a computer device, performs the method of any of the preceding claims.

The present application further provides a computer device, comprising:

one or more processors;

a memory for storing one or more computer programs;

the one or more computer programs, when executed by the one or more processors, cause the one or more processors to implement the method of any preceding claim.

FIG. 8 illustrates an exemplary system that can be used to implement the various embodiments described herein;

in some embodiments, as illustrated in fig. 8, the system 1000 can be implemented as any one of the network device, the first user device, or the second user device in the various described embodiments. In some embodiments, system 1000 may include one or more computer-readable media (e.g., system memory or NVM/storage 1020) having instructions and one or more processors (e.g., processor(s) 1005) coupled with the one or more computer-readable media and configured to execute the instructions to implement modules to perform the actions described herein.

For one embodiment, system control module 1010 may include any suitable interface controllers to provide any suitable interface to at least one of the processor(s) 1005 and/or to any suitable device or component in communication with system control module 1010.

The system control module 1010 may include a memory controller module 1030 to provide an interface to the system memory 1015. Memory controller module 1030 may be a hardware module, a software module, and/or a firmware module.

System memory 1015 may be used to load and store data and/or instructions, for example, for system 1000. For one embodiment, system memory 1015 may include any suitable volatile memory, such as suitable DRAM. In some embodiments, the system memory 1015 may include a double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).

For one embodiment, system control module 1010 may include one or more input/output (I/O) controllers to provide an interface to NVM/storage 1020 and communication interface(s) 1025.

For example, NVM/storage 1020 may be used to store data and/or instructions. NVM/storage 1020 may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more Hard Disk drive(s) (HDD (s)), one or more Compact Disc (CD) drive(s), and/or one or more Digital Versatile Disc (DVD) drive (s)).

NVM/storage 1020 may include storage resources that are physically part of a device on which system 1000 is installed or may be accessed by the device and not necessarily part of the device. For example, NVM/storage 1020 may be accessed over a network via communication interface(s) 1025.

Communication interface(s) 1025 may provide an interface for system 1000 to communicate over one or more networks and/or with any other suitable device. System 1000 may communicate wirelessly with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols.

For one embodiment, at least one of the processor(s) 1005 may be packaged together with logic for one or more controller(s) of the system control module 1010, e.g., memory controller module 1030. For one embodiment, at least one of the processor(s) 1005 may be packaged together with logic for one or more controller(s) of the system control module 1010 to form a System In Package (SiP). For one embodiment, at least one of the processor(s) 1005 may be integrated on the same die with logic for one or more controller(s) of the system control module 1010. For one embodiment, at least one of the processor(s) 1005 may be integrated on the same die with logic of one or more controllers of the system control module 1010 to form a system on a chip (SoC).

In various embodiments, system 1000 may be, but is not limited to being: a server, a workstation, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.). In various embodiments, system 1000 may have more or fewer components and/or different architectures. For example, in some embodiments, system 1000 includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including a touch screen display), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and speakers.

It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs (including associated data structures) of the present application may be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.

In addition, some of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application through the operation of the computer. Those skilled in the art will appreciate that the form in which the computer program instructions reside on a computer-readable medium includes, but is not limited to, source files, executable files, installation package files, and the like, and that the manner in which the computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Computer-readable media herein can be any available computer-readable storage media or communication media that can be accessed by a computer.

Communication media includes media by which communication signals, including, for example, computer readable instructions, data structures, program modules, or other data, are transmitted from one system to another. Communication media may include conductive transmission media such as cables and wires (e.g., fiber optics, coaxial, etc.) and wireless (non-conductive transmission) media capable of propagating energy waves such as acoustic, electromagnetic, RF, microwave, and infrared. Computer readable instructions, data structures, program modules, or other data may be embodied in a modulated data signal, for example, in a wireless medium such as a carrier wave or similar mechanism such as is embodied as part of spread spectrum techniques. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The modulation may be analog, digital or hybrid modulation techniques.

By way of example, and not limitation, computer-readable storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. For example, computer-readable storage media include, but are not limited to, volatile memory such as random access memory (RAM, DRAM, SRAM); and non-volatile memory such as flash memory, various read-only memories (ROM, PROM, EPROM, EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disk, tape, CD, DVD); or other now known media or later developed that can store computer-readable information/data for use by a computer system.

An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or a solution according to the aforementioned embodiments of the present application.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Claims

1. A method for determining outdoor risk assessment information, wherein the method comprises:

2. The method of claim 1, wherein the one or more weather parameter information corresponding to each of the sub-target areas is acquired by one or more acquisition devices distributed in the sub-target area.

3. The method of claim 1, wherein the determining the risk level information of the sub-target area according to one or more weather parameter information corresponding to the sub-target area comprises:

calculating risk index information of the sub-target area according to at least one meteorological parameter information corresponding to the sub-target area;

and determining the risk grade information of the sub-target area according to the risk index information.

4. The method of claim 3, wherein the weather parameter information includes temperature parameter information and humidity parameter information, and the calculating the risk index information of the sub-target area according to at least one weather parameter information corresponding to the sub-target area includes:

calculating and acquiring risk index information of the sub-target area according to the temperature parameter information and the humidity parameter information corresponding to the sub-target area;

the determining the risk level information of the sub-target area according to the risk index information includes:

and determining the risk grade information of the sub-target area according to the risk index information, wherein the risk grade information is matched with the risk index information.

5. The method of claim 3, wherein the determining risk level information for the sub-target areas according to the risk index information comprises:

and determining the risk level information of the sub-target area according to the risk index information and by combining with at least one meteorological parameter information corresponding to the sub-target area.

6. The method of claim 5, wherein the determining the risk level information of the sub-target area according to the risk index information and in combination with at least one weather parameter information corresponding to the sub-target area comprises:

and if the risk index information is in a preset risk index interval and weather parameter information meeting the risk evaluation condition of the sub-target area exists in at least one piece of weather parameter information corresponding to the sub-target area, determining the risk level information of the sub-target area according to the weather parameter information, wherein the risk level information is matched with the weather parameter information.

7. The method of claim 6, wherein if the risk index information is within a preset risk index interval and there is meteorological parameter information meeting the risk assessment condition of the sub-target area in at least one piece of meteorological parameter information corresponding to the sub-target area, determining the risk level information of the sub-target area according to the meteorological parameter information, wherein the risk level information matches with the meteorological parameter information, and the method includes:

and if the risk index information is in a preset risk index interval and weather parameter information meeting the risk evaluation condition of the sub-target area exists in at least one piece of weather parameter information corresponding to the sub-target area, determining the risk grade information of the sub-target area according to the weather parameter information, wherein the risk evaluation condition is matched with the scene information of the target area to which the sub-target area belongs, and the risk grade information is matched with the weather parameter information.

8. The method of claim 1, wherein the determining the outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area comprises:

inquiring and determining at least one piece of outdoor risk assessment information matched with the risk level information from an outdoor risk assessment information base according to the risk level information of the sub-target areas;

and screening and determining the outdoor risk assessment information corresponding to the sub-target area from the at least one piece of outdoor risk assessment information according to the scene information of the target area to which the sub-target area belongs, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area.

9. The method of claim 1, wherein the determining the outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area comprises:

and determining outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area and in combination with one or more pieces of meteorological parameter information corresponding to the sub-target area, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area, and the outdoor risk assessment information corresponding to the sub-target area is matched with at least one piece of meteorological parameter information corresponding to the sub-target area.

10. The method of claim 9, wherein the determining, according to the risk level information of the sub-target area and in combination with one or more weather parameter information corresponding to the sub-target area, outdoor risk assessment information corresponding to the sub-target area, where the outdoor risk assessment information corresponding to the sub-target area matches the scene information of the target area, and the outdoor risk assessment information corresponding to the sub-target area matches at least one weather parameter information corresponding to the sub-target area, comprises:

if the risk level information of the sub-target area is in the risk level interval and the weather parameter information meeting the risk assessment condition of the sub-target area exists in at least one weather parameter information corresponding to the sub-target area,

and determining outdoor risk assessment information corresponding to the sub-target areas according to the weather parameter information meeting the risk assessment conditions of the sub-target areas, wherein the outdoor risk assessment information corresponding to the sub-target areas is matched with the scene information of the target area, and the outdoor risk assessment information corresponding to the sub-target areas is matched with the weather parameter information.

11. The method of claim 1, wherein the method further comprises:

acquiring one or more pieces of predicted meteorological parameter information corresponding to the sub-target areas;

determining future risk level information of the sub-target areas according to the one or more pieces of predicted weather parameter information;

and determining future outdoor risk assessment information corresponding to the sub-target area according to the future risk grade information of the sub-target area, wherein the future outdoor risk assessment information corresponding to the sub-target area is matched with the scene information of the target area.

12. The method of claim 1, wherein the method further comprises:

determining the outdoor risk assessment information trend of the sub-target area according to at least one piece of outdoor risk assessment information of the sub-target area within a preset time;

and determining the outdoor risk assessment information of the sub-target area in the next time period according to the outdoor risk assessment information trend.

13. A method for determining outdoor risk assessment information, applied to a network device, wherein the method comprises:

and sending the outdoor risk assessment information to the user equipment.

14. The method of claim 13, wherein the obtaining one or more weather parameter information matching the location information based on the location information comprises:

determining a sub-target area covering the position information according to the position information;

and acquiring one or more pieces of weather parameter information corresponding to the target sub-area from one or more pieces of acquisition equipment in the sub-target area to serve as one or more pieces of weather parameter information matched with the position information, wherein the one or more pieces of acquisition equipment are distributed and arranged in the sub-target area.

15. The method of claim 14, wherein the query request includes context information regarding a target outdoor context;

the determining the sub-target area covering the position information according to the position information comprises:

determining the target outdoor scene according to the scene information in the query request;

and determining a sub-target area covering the position information from the target area corresponding to the target outdoor scene according to the position information.

16. The method of claim 15, wherein said determining outdoor risk assessment information corresponding to said user device from said one or more weather parameter information comprises:

determining risk grade information of the sub-target area according to the one or more meteorological parameter information;

and determining outdoor risk assessment information corresponding to the sub-target area according to the risk level information of the sub-target area and the scene information in the query request, and determining the outdoor risk assessment information as the outdoor risk assessment information corresponding to the user equipment, wherein the outdoor risk assessment information corresponding to the sub-target area is matched with the target outdoor scene.

17. An apparatus for determining outdoor risk assessment information, wherein the apparatus comprises:

a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the operations of the method of any of claims 1 to 16.

18. A computer-readable medium storing instructions that, when executed, cause a system to perform the operations of any of the methods of claims 1 to 16.