CN112349072A - Container cargo monitoring method and device and monitoring terminal - Google Patents
Container cargo monitoring method and device and monitoring terminal Download PDFInfo
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- G08B13/08—Mechanical actuation by opening, e.g. of door, of window, of drawer, of shutter, of curtain, of blind
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Abstract
The embodiment of the application is suitable for the technical field of container supervision, and provides a monitoring method, a monitoring device and a monitoring terminal for container cargos, wherein the method comprises the following steps: collecting state information of the container cargo through a sensor arranged in the container; judging whether the container cargo is in an abnormal state or not according to the state information; if the container cargo is in an abnormal state, generating abnormal state alarm information aiming at the container cargo; and sending the state abnormity warning information to a container management platform. The method can improve the safety of the container goods in the transportation and loading and unloading processes.
Description
Technical Field
The application belongs to the technical field of container supervision, and particularly relates to a container cargo monitoring method, a container cargo monitoring device and a monitoring terminal.
Background
Container transportation is one of the most important modes of international and domestic trade goods transportation at present. With the development of information technology and internet of things technology, the market puts higher demands on diversification and refinement of container requirements. Therefore, it is necessary to monitor the whole process of container transportation.
At present, the container is monitored mainly by installing a monitoring terminal with a positioning function in the container, and positioning data is collected and reported to a container management platform through the monitoring terminal according to a certain frequency, so that the container can be positioned and tracked.
However, a transportation process of the container often takes a long time, and in such a long time, if only the positioning data is collected, the safety of the container goods cannot be completely guaranteed. For example, although the container management platform can monitor the current location of the container, the platform cannot know whether the goods are stolen or whether the goods are going bad due to various reasons through the positioning data.
Disclosure of Invention
In view of this, embodiments of the present application provide a method and an apparatus for monitoring container cargo, and a monitoring terminal, so as to improve the security of the container cargo.
A first aspect of an embodiment of the present application provides a method for monitoring container cargo, including:
collecting state information of the container cargo through a sensor arranged in the container;
judging whether the container cargo is in an abnormal state or not according to the state information;
if the container cargo is in an abnormal state, generating abnormal state alarm information aiming at the container cargo;
and sending the state abnormity warning information to a container management platform.
A second aspect of an embodiment of the present application provides a container cargo monitoring apparatus, including:
the acquisition module is used for acquiring the state information of the container cargo through a sensor arranged in the container;
the judging module is used for judging whether the container cargo is in an abnormal state or not according to the state information;
the generating module is used for generating abnormal state alarm information aiming at the container cargo if the container cargo is in an abnormal state;
and the sending module is used for sending the state abnormity warning information to a container management platform.
A third aspect of the embodiments of the present application provides a monitoring terminal, including a memory, a processor, and an embedded program stored in the memory and operable on the processor, where the processor executes the embedded program to implement the method for monitoring container cargo as described in the first aspect.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, which stores an embedded program, and the embedded program, when executed by a processor, implements the method for monitoring container cargo as described in the first aspect.
A fifth aspect of the embodiments of the present application provides a computer program product, which, when running on a terminal device, causes the terminal device to execute the method for monitoring container cargo of the first aspect.
Compared with the prior art, the embodiment of the application has the following advantages:
according to the embodiment of the application, the sensors capable of monitoring various types of state information are arranged inside the container, and the sensors are in communication connection with the monitoring terminal, so that the state information of the goods inside the container can be judged by the monitoring terminal, and whether the goods are in an abnormal state or not is determined. If the goods in the container are in an abnormal state, the monitoring terminal can generate corresponding abnormal state alarm information and send the abnormal state alarm information to the container management platform, so that related workers can know the goods state in time and handle the abnormal state, and the safety of the container and the goods is ensured.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the embodiments or the description of the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic flow chart illustrating steps of a method for monitoring cargo in a container according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating steps of another method for monitoring cargo in a container according to an embodiment of the present application;
FIG. 3 is a schematic view of a container cargo monitoring process according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a monitoring process for a container opening event according to an embodiment of the present application;
fig. 5 is a schematic view of a temperature and humidity monitoring process of a container according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a container irregular operation monitoring process provided by an embodiment of the present application;
FIG. 7 is a schematic view of a container cargo monitoring apparatus according to an embodiment of the present application;
fig. 8 is a schematic diagram of a monitoring terminal according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The technical solution of the present application will be described below by way of specific examples.
Referring to fig. 1, a schematic flow chart illustrating steps of a monitoring method for container cargo provided in an embodiment of the present application is shown, which may specifically include the following steps:
s101, acquiring state information of container cargos through a sensor configured in a container;
it should be noted that the method can be applied to a monitoring terminal, which can be installed inside a container and used for monitoring various status information of the container.
In the embodiment of the present application, one or more sensors may be further configured in each container. For example, a door sensor, a light sensor, a temperature sensor, a humidity sensor, or a weight sensor, etc. The one or more sensors may be distributed within the container for collecting various status information of the container and its contents.
In the embodiment of the application, the monitoring terminal can perform data interaction with each sensor through wireless communication modes such as ZigBee, Bluetooth and the like. The state information of the container and the goods inside the container, which is acquired by each sensor, can be transmitted to the monitoring terminal in real time.
S102, judging whether the container goods are in an abnormal state or not according to the state information;
in the embodiment of the application, the monitoring terminal can judge whether the container goods are in an abnormal state according to the received state information acquired by each sensor.
For example, whether the light and brightness inside the container are proper, whether the temperature and humidity inside the container are proper for storing and transporting the goods, whether the speed data and the attitude data of the container are in reasonable ranges, and the like.
If it is determined that the container cargo is in an abnormal state based on the state information, S103 may be executed to generate abnormal state alarm information for the container cargo.
S103, generating abnormal state alarm information aiming at the container cargos;
in the embodiment of the present application, the abnormal state alarm information generated by the monitoring terminal may include a specific alarm type. The current abnormal state is caused by temperature or humidity, for example.
Of course, the abnormal state alarm information may include various other information besides the alarm type, such as a box number of a container in which an abnormality occurs, an abnormal alarm time, and the like, which is not limited in this embodiment of the present application.
And S104, sending the state abnormity warning information to a container management platform.
In the embodiment of the application, in order to timely process the container which generates the abnormal state, the monitoring terminal can send the alarm information to the container management platform after generating the abnormal state alarm information, and the container management platform arranges corresponding staff to process the alarm information, so that the safety of the container and the goods is ensured.
In the embodiment of the application, the sensors capable of monitoring various types of state information are configured inside the container, and the sensors are in communication connection with the monitoring terminal, so that the monitoring terminal can judge the state information of the goods inside the container, and determine whether the goods are in an abnormal state. If the goods in the container are in an abnormal state, the monitoring terminal can generate corresponding abnormal state alarm information and send the abnormal state alarm information to the container management platform, so that related workers can know the goods state in time and handle the abnormal state, and the safety of the container and the goods is ensured.
Referring to fig. 2, a schematic flow chart illustrating steps of another method for monitoring cargo in a container according to an embodiment of the present application is shown, which may specifically include the following steps:
s201, detecting whether a container is in a static state or not when a door magnetic sensor and/or a light sensor arranged in the container monitor that the container is opened;
in this application embodiment, can be at the inside multiple sensor of dispersedly installing of container, gather the state information of container and inside goods through every kind of sensor to guarantee the security of container and its goods.
In particular implementations, the various sensors that may be mounted inside the container may include any number of door sensors, light sensors, temperature sensors, humidity sensors, and weight sensors. Each type of sensor may perform a different monitoring function.
For example, the temperature inside and outside the container can be monitored by the temperature sensor, and whether the goods are abnormal or whether a fire alarm is possible can be judged by the monitored temperature.
For another example, the empty and heavy load states of the container can be monitored through the weight sensor, and the utilization rate of the container is improved; on the other hand, through the data cooperation with other sensors monitoring, weight sensor also can be used for judging whether there is stolen risk in goods, ensures goods safety.
For another example, the door opening and closing state of the container can be monitored through a door magnetic sensor and/or a light sensor arranged inside the container, and the safety of goods is guaranteed.
Of course, the above description of various sensors and their functions is only an example, and other types of sensors may be installed inside the container according to actual needs, which is not limited in the embodiments of the present application.
In this embodiment, a monitoring terminal may be further installed inside the container, and is configured to process data monitored by each sensor to determine whether the container and its cargo are in an abnormal state.
In a possible implementation manner of the embodiment of the present application, whether an opening event occurs in the container may be monitored by a door magnetic sensor and/or a light-sensitive sensor disposed in the container, where the opening event may refer to whether a door of the container is opened.
By this, the container should have its door opened only when the container is loaded or unloaded, which is to ensure that the container is in a stationary state. For example, when containers are loaded and unloaded at a yard or any logistics node.
Thus, in a specific implementation, when it is detected by a sensor that a door of a container is opened, it may first be detected whether the container is in a stationary state.
In the embodiment of the application, whether the container is in a static state or not can be realized by detecting the current speed and the current attitude of the container.
If the container is not in a static state, the monitoring terminal can execute S202; if the container is in a static state, the monitoring terminal may execute S203.
S202, generating abnormal unpacking alarm information aiming at the container, and sending the abnormal unpacking alarm information to a container management platform;
in the embodiment of the present application, if the container is not in a static state, it may be considered that the container is currently in the process of being unloaded or transported, and the opening of the door of the container may indicate that the container is faulty or illegally opened. After receiving the information that the door of the container is opened in a non-static state, the monitoring terminal can generate abnormal opening warning information for the container, and send the abnormal opening warning information to the container management platform to remind the container management platform to pay attention to the abnormal opening event.
S203, acquiring the transportation information of the container, generating unpacking monitoring information according to the transportation information, and sending the unpacking monitoring information to a container management platform;
in the embodiment of the present application, if the container is in a static state, it may indicate that the container has been transported to a designated place, and there may be a need for relevant staff to load and unload the goods.
Generally, the loading and unloading of the cargo are performed at a designated place, and if the container is not located at the designated place when the door of the container is opened, the cargo in the container still has the possibility of being stolen.
Therefore, in the embodiment of the present application, when the door of the container in the static state is opened, the monitoring terminal may obtain the transportation information of the container, and determine whether the current event belongs to the abnormal opening event or not according to the transportation information.
In a specific implementation, the transportation information may record a transportation route of the container and information related to loading and unloading, and the information related to loading and unloading may include where the container needs to be loaded and unloaded.
Therefore, after the monitoring terminal acquires the transportation information of the container, whether the current position is in the preset unpacking area or not can be judged according to the transportation information.
It should be noted that the current position may be determined according to a positioning device installed inside the container, and the positioning device may exist in a form of a positioning terminal installed inside the container separately, or may realize positioning of the container by integrating a positioning function in a monitoring terminal, which is not limited in this embodiment of the present application.
If the current position is in the preset opening area, the current position indicates that the door of the container can be allowed to be opened at the position according to the transportation information. At this time, the monitoring terminal can record the opening information of the container at this time. On the other hand, in order to further ensure the unpacking safety, the monitoring terminal can also send the unpacking information to the container management platform, and the container management platform judges whether the unpacking event belongs to abnormal unpacking according to the preset operation information.
If the current position is not in the preset opening area, the situation indicates that the door of the container should be kept closed at the position, and the opening event belongs to abnormal or illegal opening. At this time, the monitoring terminal may generate abnormal alarm information for the container, and send the abnormal alarm information to the container management platform, which is followed by the container management platform.
S204, respectively acquiring various state information of container cargos through various sensors configured in the container;
taking the example that the various sensors include a temperature sensor, a humidity sensor and a weight sensor, the corresponding various status information may include temperature information, humidity information and weight information of the container cargo.
The state information collected by various sensors can be sent to the monitoring terminal in a wireless or wired communication mode, and the monitoring terminal further processes the state information.
S205, respectively detecting whether the various kinds of state information are all in a preset corresponding data range;
in the embodiment of the present application, the data range of each type of status information may be preset according to the specific situation of the container cargo.
For example, if the cargo is fresh food to be refrigerated, the data range of the corresponding container temperature information may be set to be between-5 ℃ and 5 ℃, and the data range of the corresponding humidity information may be set to be between 70% and 95%; for the weight information, a weight error may be set according to the sum of the weights of all the goods loaded in the container, thereby obtaining a data range of the corresponding weight information.
When the monitoring terminal judges whether the goods in the container are in an abnormal state, the monitoring terminal can compare each received state information with a preset data range thereof, and judge whether each state information is in the corresponding data range.
When any item of the state information is not in the corresponding data range, S206 may be executed to determine that the container cargo is in an abnormal state, and generate abnormal state warning information for the container cargo.
S206, judging that the container cargo is in an abnormal state, and generating abnormal state alarm information aiming at the container cargo;
generally, the state information of the container cargo may change during the loading and unloading process. Therefore, in order to determine whether the state information that is not within the corresponding data range is due to normal loading and unloading operations or due to other factors, it is also possible to determine whether the current position is within the preset detection region before determining that the container cargo is in an abnormal state. For example, whether it is in the loading/unloading work area.
If the current position is not in the preset detection area, the container cargo can be judged to be in an abnormal state; otherwise, the various state information can be sent to the container management platform, and the container management platform judges whether the container goods are in an abnormal state according to the preset operation information.
And S207, sending the state abnormity warning information to a container management platform.
In the embodiment of the application, through installing multiple sensors in the container, whether the container and the goods thereof are abnormal or not can be judged according to the state information monitored by the various sensors, the safety of the container and the goods thereof is improved, and the full-flow supervision of the container and the goods thereof is realized.
In general, containers pass through a great number of places during the road-rail-sea multi-type intermodal transportation, including a dock, a yard, an inspection site, and the like, in addition to a car, a train, a cargo ship, and the like. There often occurs a problem that the container or the goods are damaged due to improper operation of the person or the machine.
In view of the above problems, in the embodiment of the present application, the electronic fence may be further used to monitor the non-standard operation of the related personnel or machines based on the state information collected by the monitoring terminal.
In one possible implementation of the embodiments of the present application, the electronic fence can be used to determine whether the container is in the transit area. If the container is in the transfer area, when the container needs to be transferred, whether the container exceeds the maximum speed value or the attitude value of normal handling or not can be determined by judging the speed data and/or the attitude data acquired by the monitoring terminal. If the current speed value or the maximum attitude value of the container exceeds the maximum speed value or the maximum attitude value, the light sensor, the temperature sensor and/or the humidity sensor can be combined to judge whether the container is possibly damaged or not, so that whether the operation is improper or not in the operation process of the container is further judged.
It should be noted that, the sequence numbers of the steps in the foregoing embodiments do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation on the implementation process of the embodiments of the present application.
For ease of understanding, the method of monitoring the contents of a container via various sensors will now be described with reference to a few specific examples.
Fig. 3 is a schematic view illustrating a monitoring process of cargo in a container according to an embodiment of the present invention. According to the monitoring process shown in fig. 3, after receiving the state information collected by the various separate sensors, the monitoring terminal can determine whether the container and its cargo are abnormal or not by combining the state of the electronic fence at the current location. If the state is abnormal, the monitoring terminal can report the abnormal state alarm information to the container management platform; otherwise, the monitoring terminal can control each sensor to continuously monitor the state of the container and the goods thereof. On the other hand, after receiving the alarm information reported by the monitoring terminal, the container management platform can further determine whether an abnormal condition exists or not and whether follow-up processing is required or not by combining the transportation information or the operation information of the service system. If the abnormal condition exists, the container management platform can arrange the related staff to process the abnormal condition, otherwise, the container management platform can close the alarm information reported by the monitoring terminal.
As a specific example of the embodiment of the present application, refer to fig. 4, which is a schematic diagram of a monitoring process of a container opening event according to the embodiment of the present application. According to the monitoring process shown in fig. 4, the monitoring terminal may receive monitoring information of the door sensor and/or the light sensor installed inside the container through the established communication connection, and determine whether the door of the container is opened currently according to the monitoring information. If the container door is confirmed to be opened, the monitoring terminal can further detect whether the container is in a static state currently. If the container is not in a static state, the monitoring terminal can report abnormal opening warning information of the box door opened in the transportation process to the container management platform. If the container is in a static state, the monitoring terminal can confirm whether the current position is in a preset openable area according to the current information of the electronic fence. If the current position does not belong to the box-opening area, the monitoring terminal can report abnormal box-opening warning information to the container management platform; otherwise, the monitoring terminal can record the opening event and send the opening event to the container management platform, and the container management platform further judges whether the opening event belongs to abnormal opening. Aiming at abnormal unpacking, the container management platform can record the abnormal unpacking event and send alarm information to related staff or terminals. If the container management platform confirms that the opening event is a normal opening event, only the opening event can be recorded without further processing.
As another specific example of the embodiment of the present application, refer to fig. 5, which is a schematic diagram of a temperature and humidity monitoring process of a container provided in the embodiment of the present application. According to the monitoring process shown in fig. 5, the monitoring terminal can receive the temperature and humidity information of the goods inside the container through the temperature sensor and the humidity sensor installed inside the container, and judge whether the current temperature and humidity information is within the data range according to the preset data range. If the current temperature and humidity information is not in the preset data range, the monitoring terminal can judge whether the position belongs to a preset detection area or not according to the information of the electronic fence at the current position. If the current position is in the detection area, the monitoring terminal can report the temperature and humidity information to the container management platform, and the container management platform further judges the current temperature and humidity information according to the corresponding operation information; otherwise, the monitoring terminal can directly report the temperature and humidity abnormity warning information to the container management platform. When the container management platform further judges the current temperature and humidity information according to the corresponding operation information, whether the current temperature and humidity information is abnormal or not can be checked according to the operation information, if the current temperature and humidity information is abnormal, alarm information can be generated and related workers can be instructed to process the current temperature and humidity information, and otherwise, the container management platform can not process the received temperature and humidity information.
As another specific example of the embodiment of the present application, refer to fig. 6, which is a schematic diagram of a monitoring process for irregular operation of a container according to the embodiment of the present application. According to the monitoring process shown in fig. 6, the monitoring terminal can determine the current transit area of the container according to the electronic fence. By determining the transfer area where the container is located, the specific occurrence area of the non-standard operation can be determined conveniently when the non-standard operation occurs, and subsequent investigation and processing are facilitated. In this example, the monitoring terminal may determine whether the current speed data and/or attitude data exceeds a set value range after receiving data collected by various sensors. If the speed data and/or the attitude data exceed the set numerical range, the monitoring terminal can further judge whether the door of the container is opened. If the current door is open, the process can proceed according to the process flow of the container open event shown in FIG. 4. If the current box door is not opened, the monitoring terminal can continuously judge whether the state information collected by the light sensor, the temperature and humidity sensor and the like is abnormal or not. If the state information collected by the light sensor, the temperature and humidity sensor and the like is abnormal, the monitoring terminal can report the risk information that the container is likely to tip over to the container management platform; otherwise, the monitoring terminal can report the alarm information of the damaged container to the container management platform.
Referring to fig. 7, a schematic diagram of a monitoring device for container cargo provided in an embodiment of the present application is shown, which may specifically include the following modules:
an acquisition module 701, configured to acquire status information of container cargo through a sensor disposed in a container;
a judging module 702, configured to judge whether the container cargo is in an abnormal state according to the state information;
a generating module 703, configured to generate state anomaly alarm information for the container cargo if the container cargo is in an abnormal state;
a sending module 704, configured to send the abnormal state alarm information to a container management platform.
In an embodiment of the present application, the sensor includes a door sensor and/or a light sensor, and the apparatus may further include:
the static state detection module is used for detecting whether the container is in a static state or not when the container is monitored to be opened through a door magnetic sensor and/or a light sensor arranged in the container;
the abnormal unpacking warning information sending module is used for generating abnormal unpacking warning information aiming at the container and sending the abnormal unpacking warning information to a container management platform if the container is not in a static state;
and the container opening monitoring information sending module is used for acquiring the transportation information of the container if the container is in a static state, generating the container opening monitoring information according to the transportation information and sending the container opening monitoring information to a container management platform.
In this embodiment of the application, the unpacking monitoring information sending module may specifically include the following sub-modules:
the unpacking area judgment submodule is used for judging whether the current position is in a preset unpacking area or not according to the transportation information;
the unpacking information sending submodule is used for recording unpacking information of the container and sending the unpacking information to a container management platform if the current position is in a preset unpacking area so as to indicate the container management platform to judge whether the unpacking event belongs to abnormal unpacking according to preset operation information;
and the abnormal alarm information sending submodule is used for generating abnormal alarm information aiming at the container and sending the abnormal alarm information to a container management platform if the current position is not in a preset unpacking area.
In this embodiment, the sensor includes a plurality of types, and the acquisition module 701 may specifically include the following sub-modules:
and the state information acquisition submodule is used for respectively acquiring various kinds of state information of the container cargos through various sensors arranged in the container.
In this embodiment of the present application, the determining module 702 may specifically include the following sub-modules:
the state information detection submodule is used for respectively detecting whether the various kinds of state information are all in a preset corresponding data range;
and the first abnormal state judgment submodule is used for judging that the container cargo is in an abnormal state if any item in the plurality of kinds of state information is not in the corresponding data range.
In this embodiment of the present application, the determining module 702 may further include the following sub-modules:
the detection area judgment submodule is used for judging whether the current position is in a preset detection area or not;
a second abnormal state judgment submodule, configured to judge that the container cargo is in an abnormal state if the current position is not in a preset detection area;
and the state information sending submodule is used for sending the various state information to a container management platform if the current position is in a preset detection area so as to indicate the container management platform to judge whether the container goods are in an abnormal state according to preset operation information.
In the embodiment of the present application, the plurality of sensors may include a temperature sensor, a humidity sensor, and a weight sensor, and the plurality of status information may include temperature information, humidity information, and weight information of the container cargo.
For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to the description of the method embodiment section for relevant points.
Referring to fig. 8, a schematic diagram of a monitoring terminal according to an embodiment of the present application is shown. As shown in fig. 8, the monitoring terminal 800 of the present embodiment includes: a processor 810, a memory 820, and an embedded program 821 stored in the memory 820 and operable on the processor 810. The processor 810, when executing the embedded program 821, implements the steps of the container cargo monitoring method in various embodiments, such as steps S101 to S104 shown in fig. 1. Alternatively, the processor 810, when executing the embedded program 821, implements the functions of the modules/units in the device embodiments, such as the functions of the modules 601 to 604 shown in fig. 6.
Illustratively, the embedded program 821 may be partitioned into one or more modules/units that are stored in the memory 820 and executed by the processor 810 to accomplish the present application. The one or more modules/units may be a series of embedded program instruction segments capable of performing specific functions, which may be used to describe the execution process of the embedded program 821 in the monitoring terminal 800. For example, the embedded program 821 may be divided into an acquisition module, a judgment module, a generation module and a sending module, and the specific functions of each module are as follows:
the acquisition module is used for acquiring the state information of the container cargo through a sensor arranged in the container;
the judging module is used for judging whether the container cargo is in an abnormal state or not according to the state information;
the generating module is used for generating abnormal state alarm information aiming at the container cargo if the container cargo is in an abnormal state;
and the sending module is used for sending the state abnormity warning information to a container management platform.
The monitoring terminal 800 may include, but is not limited to, a processor 810 and a memory 820. Those skilled in the art will appreciate that fig. 8 is only one example of the monitoring terminal 800, and does not constitute a limitation of the monitoring terminal 800, and may include more or less components than those shown, or combine some components, or different components, for example, the monitoring terminal 800 may further include an input-output device, a network access device, a bus, etc.
The Processor 810 may be a Micro Control Unit (MCU), a Central Processing Unit (CPU), or other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 820 may be an internal storage unit of the monitoring terminal 800, such as a hard disk or a memory of the monitoring terminal 800. The memory 820 may also be an external storage device of the monitoring terminal 800, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and so on, provided on the monitoring terminal 800. Further, the memory 820 may also include both an internal storage unit and an external storage device of the monitoring terminal 800. The memory 820 is used for storing the embedded program 821 and other programs and data required by the monitoring terminal 800. The memory 820 may also be used to temporarily store data that has been output or is to be output.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method of monitoring cargo in a container, comprising:
collecting state information of the container cargo through a sensor arranged in the container;
judging whether the container cargo is in an abnormal state or not according to the state information;
if the container cargo is in an abnormal state, generating abnormal state alarm information aiming at the container cargo;
and sending the state abnormity warning information to a container management platform.
2. The method of claim 1, wherein the sensor comprises a door sensor and/or an optical sensor, the method further comprising:
when the container is monitored to be opened through a door magnetic sensor and/or a light sensor arranged in the container, detecting whether the container is in a static state;
if the container is not in a static state, generating abnormal unpacking alarm information aiming at the container, and sending the abnormal unpacking alarm information to a container management platform;
and if the container is in a static state, acquiring the transportation information of the container, generating unpacking monitoring information according to the transportation information, and sending the unpacking monitoring information to a container management platform.
3. The method of claim 2, wherein generating unpacking monitoring information according to the transportation information and sending the unpacking monitoring information to a container management platform comprises:
judging whether the current position is in a preset unpacking area or not according to the transportation information;
if the current position is in a preset unpacking area, recording unpacking information of the container, and sending the unpacking information to a container management platform to instruct the container management platform to judge whether the unpacking event belongs to abnormal unpacking according to preset operation information;
and if the current position is not in a preset unpacking area, generating abnormal alarm information aiming at the container, and sending the abnormal alarm information to a container management platform.
4. The method of any one of claims 1-3, wherein the sensor includes a plurality of sensors, and wherein collecting the status information of the container cargo via the sensor disposed in the container includes:
various kinds of state information of the container cargo are respectively collected through various kinds of sensors arranged in the container.
5. The method of claim 4, wherein said determining whether the container cargo is in an abnormal state based on the status information comprises:
respectively detecting whether the various kinds of state information are all in a preset corresponding data range;
and if any one of the plurality of kinds of state information is not in the corresponding data range, judging that the container cargo is in an abnormal state.
6. The method of claim 5, prior to determining that the container cargo is in an abnormal condition, further comprising:
judging whether the current position is in a preset detection area or not;
if the current position is not in a preset detection area, judging that the container goods are in an abnormal state; otherwise, the various state information is sent to a container management platform to indicate the container management platform to judge whether the container goods are in an abnormal state according to preset operation information.
7. The method of claim 5 or 6, wherein the plurality of sensors includes a temperature sensor, a humidity sensor, and a weight sensor, and the plurality of status information includes temperature information, humidity information, and weight information of the container cargo.
8. A container cargo monitoring apparatus comprising:
the acquisition module is used for acquiring the state information of the container cargo through a sensor arranged in the container;
the judging module is used for judging whether the container cargo is in an abnormal state or not according to the state information;
the generating module is used for generating abnormal state alarm information aiming at the container cargo if the container cargo is in an abnormal state;
and the sending module is used for sending the state abnormity warning information to a container management platform.
9. A monitoring terminal comprising a memory, a processor and an embedded program stored in said memory and operable on said processor, wherein said processor implements a method of monitoring container cargo as claimed in any one of claims 1 to 7 when executing said embedded program.
10. A computer-readable storage medium storing an embedded program, wherein the embedded program, when executed by a processor, implements the method of monitoring container cargo according to any one of claims 1-7.
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| CN202011072227.9A CN112349072A (en) | 2020-10-09 | 2020-10-09 | Container cargo monitoring method and device and monitoring terminal |
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| CN202011072227.9A CN112349072A (en) | 2020-10-09 | 2020-10-09 | Container cargo monitoring method and device and monitoring terminal |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112205A (en) * | 2021-04-15 | 2021-07-13 | 北京理工亘舒科技有限公司 | Monitoring method, monitoring device and management system for refrigerating box |
| CN113514107A (en) * | 2021-07-20 | 2021-10-19 | 大唐互联科技(武汉)有限公司 | Expansion method and system based on equipment point inspection |
| CN116136675A (en) * | 2022-12-01 | 2023-05-19 | 中车齐齐哈尔车辆有限公司 | container monitoring system |
| CN116245442A (en) * | 2022-12-26 | 2023-06-09 | 北京神舟智汇科技有限公司 | Military artificial intelligence application system |
| US20230184959A1 (en) * | 2021-12-09 | 2023-06-15 | Wuhan University Of Technology | Digital association and high precision positioning and tracking system for multimodal transport container |
| CN117030938A (en) * | 2023-08-01 | 2023-11-10 | 深圳市深水生态环境技术有限公司 | Dynamic monitoring method of sludge transfer process, sludge transfer monitoring system and medium |
| CN117401341A (en) * | 2023-11-07 | 2024-01-16 | 中储恒科物联网系统有限公司 | A method and system for status monitoring of liquid cargo in warehousing management |
| CN117451110A (en) * | 2023-11-02 | 2024-01-26 | 中国铁路兰州局集团有限公司 | Railway container transportation state intelligent monitoring system based on thunder fusion |
| CN118428839A (en) * | 2024-05-20 | 2024-08-02 | 上海兆龙国际物流有限公司 | Cargo real-time tracking and monitoring method, device and computer-readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101896883A (en) * | 2007-04-13 | 2010-11-24 | Aps技术公司 | Monitor the transfer of cargo from or to the transport unit |
| US20120262307A1 (en) * | 2011-04-17 | 2012-10-18 | Tai Cheung Poon | Systems and methods for monitoring cargo conditions |
| CN103869789A (en) * | 2014-03-26 | 2014-06-18 | 卢大伟 | Transported cargo quality monitoring method and system based on internet of things |
| DE102017114615A1 (en) * | 2016-07-07 | 2018-01-11 | Symbol Technologies, Llc | System and method for preventing theft of articles from a location |
| CN110264309A (en) * | 2019-05-27 | 2019-09-20 | 深圳市轱辘汽车维修技术有限公司 | Cargo handover management method, apparatus, server and storage medium |
| CN110347561A (en) * | 2019-06-11 | 2019-10-18 | 平安科技(深圳)有限公司 | Monitoring alarm method and terminal device |
-
2020
- 2020-10-09 CN CN202011072227.9A patent/CN112349072A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101896883A (en) * | 2007-04-13 | 2010-11-24 | Aps技术公司 | Monitor the transfer of cargo from or to the transport unit |
| US20120262307A1 (en) * | 2011-04-17 | 2012-10-18 | Tai Cheung Poon | Systems and methods for monitoring cargo conditions |
| CN103869789A (en) * | 2014-03-26 | 2014-06-18 | 卢大伟 | Transported cargo quality monitoring method and system based on internet of things |
| DE102017114615A1 (en) * | 2016-07-07 | 2018-01-11 | Symbol Technologies, Llc | System and method for preventing theft of articles from a location |
| CN110264309A (en) * | 2019-05-27 | 2019-09-20 | 深圳市轱辘汽车维修技术有限公司 | Cargo handover management method, apparatus, server and storage medium |
| CN110347561A (en) * | 2019-06-11 | 2019-10-18 | 平安科技(深圳)有限公司 | Monitoring alarm method and terminal device |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112205A (en) * | 2021-04-15 | 2021-07-13 | 北京理工亘舒科技有限公司 | Monitoring method, monitoring device and management system for refrigerating box |
| CN113514107A (en) * | 2021-07-20 | 2021-10-19 | 大唐互联科技(武汉)有限公司 | Expansion method and system based on equipment point inspection |
| US20230184959A1 (en) * | 2021-12-09 | 2023-06-15 | Wuhan University Of Technology | Digital association and high precision positioning and tracking system for multimodal transport container |
| US12313754B2 (en) * | 2021-12-09 | 2025-05-27 | Wuhan University Of Technology | Digital association and high precision positioning and tracking system for multimodal transport container |
| CN116136675A (en) * | 2022-12-01 | 2023-05-19 | 中车齐齐哈尔车辆有限公司 | container monitoring system |
| CN116245442A (en) * | 2022-12-26 | 2023-06-09 | 北京神舟智汇科技有限公司 | Military artificial intelligence application system |
| CN116245442B (en) * | 2022-12-26 | 2023-12-29 | 北京神舟智汇科技有限公司 | Military artificial intelligence application system |
| CN117030938A (en) * | 2023-08-01 | 2023-11-10 | 深圳市深水生态环境技术有限公司 | Dynamic monitoring method of sludge transfer process, sludge transfer monitoring system and medium |
| CN117451110A (en) * | 2023-11-02 | 2024-01-26 | 中国铁路兰州局集团有限公司 | Railway container transportation state intelligent monitoring system based on thunder fusion |
| CN117401341A (en) * | 2023-11-07 | 2024-01-16 | 中储恒科物联网系统有限公司 | A method and system for status monitoring of liquid cargo in warehousing management |
| CN118428839A (en) * | 2024-05-20 | 2024-08-02 | 上海兆龙国际物流有限公司 | Cargo real-time tracking and monitoring method, device and computer-readable storage medium |
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Application publication date: 20210209 |