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CN111405470B - System and method for tracking gathered people based on mobile phone positioning algorithm - Google Patents

System and method for tracking gathered people based on mobile phone positioning algorithm Download PDF

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Publication number
CN111405470B
CN111405470B CN202010282538.1A CN202010282538A CN111405470B CN 111405470 B CN111405470 B CN 111405470B CN 202010282538 A CN202010282538 A CN 202010282538A CN 111405470 B CN111405470 B CN 111405470B
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target point
point
target
mobile phone
signal
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CN111405470A (en
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何迎九
卢适
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Beijing Mujia Technology Ltd
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Beijing Mujia Technology Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
    • G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
    • G01S11/06—Systems for determining distance or velocity not using reflection or reradiation using radio waves using intensity measurements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/025—Services making use of location information using location based information parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/025—Services making use of location information using location based information parameters
    • H04W4/027—Services making use of location information using location based information parameters using movement velocity, acceleration information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/18—Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data
    • H04W8/183—Processing at user equipment or user record carrier
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Telephone Function (AREA)

Abstract

The gathered crowd tracking system based on the mobile phone positioning algorithm comprises one or more test points, wherein the test points send Bluetooth detection signals or WIFI detection signals, receive feedback signals for a first target point and a plurality of second target points and send the feedback signals to a data collection device; the data collection device sends the feedback signal to the data analysis device; and the data analysis device determines a second target point with the action track distance from the first target point within the first distance threshold range, and adds the corresponding second target point into the close contact list. The positioning of the target point uses the relative position and is therefore more secure than the tracking system of the operator. After the infected user in the target site has been diagnosed, there are several ways to contact the close contacts: a user who has installed a test application may naturally receive a notification; the user can input own MAC address inquiry or register for waiting notification at the relevant website. None of the above exposes the user specific address history information.

Description

System and method for tracking gathered people based on mobile phone positioning algorithm
Technical Field
The invention relates to the technical field of crowd tracking, in particular to a crowd gathering tracking system and method based on a mobile phone positioning algorithm.
Background
2019 novel coronavirus (SARS-CoV-2)), which is named COVID-19 by the world health organization on 1 month and 12 days in 2020. Coronaviruses are a large family of viruses known to cause the common cold and more serious diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The novel coronavirus is a new strain of coronavirus that has not been previously discovered in humans.
After people are infected with coronavirus, the common signs of the person are respiratory symptoms, fever, cough, shortness of breath, dyspnea and the like. In more severe cases, the infection can lead to pneumonia, severe acute respiratory syndrome, renal failure, and even death.
The main transmission routes of the novel coronavirus are respiratory droplet transmission and contact transmission, and the transmission routes of aerosol, excrement, mouth and the like are yet to be further defined. Epidemiological investigation shows that many cases can be traced to the close contact with the diagnosed cases.
At present, every country strives to prevent blocking up and still continuously generates new patients who can not determine the infection source, and although an operator provides base station information of some users according to SIM card numbers, each base station service user is too large to determine close contacts. Some areas provide the current address of a diagnosed patient for inquiry, but have not been traceable to a possible contacter in the past. Meanwhile, although a plurality of mobile phone positioning applications are already available in the software application market, no mobile phone positioning application has substantial help in the epidemic prevention process of each country due to low popularization rate and the requirement of matched installation of users.
Experience in both the international health organization and the successful countries indicates that the key is early testing, early quarantine. For this disease, which is extremely contagious and has a long latency, testing and isolating the close contacts of patients with confirmed diagnosis plays a crucial role. Due to the lack of technical means, all countries are forced to adopt a method for closing the city in epidemic situation spreading areas, which is equivalent to the assumption that the epidemic areas generally have close contacts. Various screening methods are still needed for detection after the city is closed, so that the continuous spread of epidemic can not be inhibited; the city is not capable of avoiding the output of cases of close contacts, which is also a factor for spreading the epidemic situation from various countries and even two outbreaks.
Therefore, the problems of the prior art are to be further improved and developed.
Disclosure of Invention
The object of the invention is: to solve the above problems in the prior art, it is an object of the present invention to provide a system and a method for tracking people gathering based on a mobile phone positioning algorithm.
The technical scheme is as follows: in order to solve the above technical problem, the present invention provides an aggregated people tracking system based on a mobile phone positioning algorithm, which comprises one or more test points, wherein,
the test point sends a Bluetooth detection signal or a WIFI detection signal, receives feedback signals of the first target point and a plurality of second target points, and sends the feedback signals to the data collection device; the data collection device sends a feedback signal to the data analysis device;
and the data analysis device determines a second target point with the action track distance from the first target point within a first distance threshold range, and adds the matched second target point into the close contact list.
The gathered crowd tracking system based on the mobile phone positioning algorithm is characterized in that the test point is a position for obtaining a first target point, and an equal intensity difference circle of the signal intensity difference is drawn through the signal intensity difference of a feedback signal of the target point; the distance between the first target point and the second target point is determined by the intersection of the circle of equal intensity difference of the first target point and the circle of equal intensity difference of the signal of the second target point.
The gathered people tracking system based on the mobile phone positioning algorithm is characterized in that the number of the test points is two, namely a first probe point and a second probe point; the position of the first target point is on a first equi-intensity circle of the feedback signal around the first probe point, and the position of the second target point is on a second equi-intensity circle of the feedback signal around the second probe point; the distance between the first target point and the second target point is the intersection of the first circle of equal intensity and the second circle of equal intensity.
The gathered people tracking system based on the mobile phone positioning algorithm excludes the position of the target point according to the position of the scene object and the positions in the equal intensity difference circle of the first target point and the equal signal intensity difference circle of the second target point.
The gathered people tracking system based on the mobile phone positioning algorithm is characterized in that the staying time of the first target point and the second target point in the first distance threshold range exceeds a second time threshold, and the operation of adding the second target point into a close contact person tracking list of the first target point is triggered.
The gathered people tracking system based on the mobile phone positioning algorithm is characterized in that the data analysis device completes analysis work of a target point.
The gathered people tracking system based on the mobile phone positioning algorithm is characterized in that the identification of the target point comprises an MAC address and a mobile phone number.
The system for tracking the gathered people based on the mobile phone positioning algorithm, wherein the identification algorithm of the MAC address is obtained by a partner, and the method specifically comprises the following optional step:
analyzing a WiFi protocol control data packet;
analyzing a vendor specific protocol;
by sending probe packets and checking response packets;
blind spots of the stealth protocol are utilized.
The gathered crowd tracking system based on the mobile phone positioning algorithm is characterized in that the target point is identified and positioned in a mobile phone application program, a WIFI server, a vehicle-mounted mobile user side and a special fixed detector.
A gathered crowd tracking method based on a mobile phone positioning algorithm is applied to one or more test points and comprises the following steps:
the test point sends a Bluetooth detection signal or a WIFI detection signal and receives a feedback signal to a target point;
the target point comprises feedback signals of a first target point and a plurality of second target points;
determining a distance between the first target point and the second target point by signal analysis of the feedback signal of the target point;
and adding the second target point which is matched with the first target point into the close contact list, wherein the action track distance of the first target point is the second target point within the first distance threshold range.
(III) the beneficial effects are as follows: the invention provides a system and a method for tracking gathered people based on a mobile phone positioning algorithm, which are used for positioning a target point by using a relative position, so that the confidentiality is better than that of a tracking system of an operator. After the infected user in the target site has been diagnosed, there are several ways to contact the close contacts: a user who has installed a test application may naturally receive a notification; the user can input own MAC address inquiry or register for waiting notification at the relevant website. None of the above exposes the user specific address history information.
Drawings
FIG. 1 is a schematic diagram of an aggregated people tracking system architecture based on a mobile phone positioning algorithm according to the present invention;
FIG. 2 is a schematic diagram of a method for determining a person in close contact in a scenario of a fixed test point according to the present invention;
FIG. 3 is a schematic diagram of a modified method of intimate contact determination in the context of a fixed test point in accordance with the present invention;
FIG. 4 is a schematic diagram of a method for determining a person in close contact in a scenario with two fixed test points according to the present invention;
Detailed Description
The present invention will be described in further detail with reference to preferred embodiments, and more details are set forth in the following description in order to provide a thorough understanding of the present invention, but it is apparent that the present invention can be embodied in many other forms different from the description herein and can be similarly generalized and deduced by those skilled in the art based on the practical application without departing from the spirit of the present invention, and therefore, the scope of the present invention should not be limited by the contents of this detailed embodiment.
The drawings are schematic representations of embodiments of the invention, and it is noted that the drawings are intended only as examples and are not drawn to scale and should not be construed as limiting the true scope of the invention.
The crowd gathering tracking system based on the mobile phone positioning algorithm is used for tracing infected persons, namely tracks of the target points, the target points which are within a first distance threshold range from the tracks of the target points are defined as close contacts, all the close contacts can be added into a close contact list according to the tracks of the target points, and then the system can send information of the close contacts to play a role in prompting.
The test points can be divided into mobile test points and fixed test points, the mobile test points can be mobile phone related application programs, and the mobile test points are provided with WIFI or Bluetooth detection modules. The fixed test point may be a fixing device installed with a WIFI or bluetooth detector, and the fixed test point may preferably be an unmanned vending device.
The signal intensity of the mobile phone of the surrounding target point is obtained through the test point, and then the position of the mobile phone is calculated through other auxiliary methods. The mobile test point has two working modes, one is an individual user mode, and the other is a matching test mode. The personal user mode only concerns the mobile phone in close contact distance of the user and does not participate in the test of other users. It is clear that the personal user mode is only practical if the vast majority of users install unified applications. The importance of matching test patterns with fixed test points is that in crowd gathering situations, only three or even fewer test points are needed to analyze the dense contact situation of the entire scene.
In the personal user mode, the position of a nearby mobile phone can be estimated by transmitting a Bluetooth information packet and analyzing the time delay and the signal intensity difference of a feedback signal. Generally speaking, equal signal delays are concentric circles and a particular physical scene may be subject to deviations. Currently, the recommended social distance in each country is two or six meters, so an error of around 10 centimeters is acceptable.
It is more complicated to coordinate test patterns with fixed test point scenarios. This is a measurement of multiple handset targets to analyze their relative distances. In general, a triangulation-based algorithm is used for cost and accuracy, that is, a measured handset is positioned by three fixed or mobile test points, as shown in the figure: the equivalent signal strength delay is concentric circles, the circles of the two test points generally have two intersection points, and the field intensity of the two intersection points from the third test point is different, so that the three test points can determine the specific position of a target, and a mobile phone set in a close contact range is obtained.
The triangulation algorithm is already a popular algorithm and will not be discussed in detail, and the following mainly analyzes a scene with only one or two test points. The reason is that many national widewers are wide, some regions may not have fixed test points, only mobile users flow, and some regions may not have simultaneous coverage of three test points; even in densely populated areas, the build cycle of test coverage plus individual equipment failures occur early in the layout, so the present invention also supports scenarios with one or two test points.
In a particular physical environment, such as a high-speed rail car, the location of target point a 'or target point B' may not exist and may be considered during layout.
The first step of the epidemic situation tracking system is to find the closely contacted person; the second section, identifying the close contact, is described below.
Returning to the three modes. And (3) moving the personal user mode of the test point, and if the tested target is also provided with the mobile test application, both sides can use a unified protocol and a special identification code, and finally unlocking the identity information at the server. This is a special case.
The target detected by the mobile test point and the fixed test point in cooperation with the test mode has no special identification code, and only the existing mobile protocol can be utilized. The mobile terminal generally uses the MAC address as a unique identifier, which is also one of the identification identifiers of the present patent.
The system for tracking the aggregated population based on the mobile phone positioning algorithm, as shown in fig. 1, comprises one or more test points. The test points may include a first test point, a second test point, a third test point, and so on, without limitation.
The test point sends a Bluetooth detection signal or a WIFI detection signal and receives feedback signals to the first target point and the second target points. The one or more test points are respectively connected with the data collection device. The data collection device is used for storing the action track of the first target point by using a distributed storage architecture and receiving feedback signals of the Bluetooth detection signal or the WIFI detection signal to the first target point and the second target point. The data collection device transmits the stored and received information to the data analysis device. And the data analysis device determines a second target point with the action track distance from the first target point within a first distance threshold range, and determines a tracking track of a person who is in close contact with the first measuring point with the action track distance from the first measuring point within the first distance threshold range according to a time axis and/or the person who moves the track.
The data analysis device of the present invention has the following preferred embodiments:
the test points can be divided into mobile test points and fixed test points, the mobile test points can be mobile phones, and the mobile test points are provided with WIFI or Bluetooth detection modules. The fixed test point may be a fixing device installed with a WIFI or bluetooth detector, and the fixed test point may preferably be an unmanned vending device.
In a first preferred embodiment, the test point is a test scenario of a fixed test point, as shown in fig. 2.
The fixed test point signal detection device sends a Bluetooth signal or a WIFI signal to the surroundings by taking the fixed test point as a circle center, a target point is a first target point A, the first target point A and other target points are positioned according to a feedback signal returned by the detection signal, and a detection diagram is drawn according to the signal intensity difference of the feedback signal and the round-trip time difference (intensity quantity difference and feedback signal intensity difference) of the detection signal. As shown in fig. 2, a map of the position of the first object point is preferably obtained and the probe signal round trip time difference for the first object point is obtained. And determining the position of the second target point of all the fed back signals around the probe point by the round trip time difference. The invention takes the position of a detection signal as the center of a circle by taking a detection point and a first target point A as a first circle of a radius; and taking the radius position of the second target point B returned within the same time difference as the first target point A, taking the detection point as the center of a circle, and taking the second target point as the radius position of the second target point B.
In a preferred embodiment of the invention, the angle at which the second object point B returns the probe signal and the angle at which the first object point returns the probe signal are detected, and the difference in the return time of the follow-up probe signal allows the distance | AB | between the first object point a and the second object point B to be calculated.
The present invention obtains points with different distances from the first target point a by rotating the second target point B around the probe point as a circle center by the radius of the second target point B from the probe point, as shown in fig. 2, including a point B1 closest to the first target point a, a point B3 farthest from the first target point a, and a point B2 located at any radius between the second target point B1 and the second target point B3.
The second target point B and the first target point A are different in position, for example, the second target point B1, the second target point B3 and the first target point A are concentric, and the second target point B2 is located at any radius between the second target point B1 and the second target point B3. The | AB | minimum value is AB1, the maximum value AB3, and can be any AB 2. The second target point may be excluded if the minimum value is outside the first distance threshold range, and may be added to the intimate contact tracking list if the minimum value is outside the first distance threshold range. Different close contact lists are mutually crossed to form a close contact chain; finally, an intimate contacter network may also be formed.
The invention can also draw an equal intensity difference circle of the signal intensity difference through the signal intensity difference of the feedback signal of the target point; the distance between the first target point and the second target point is determined by the intersection of the circle of equal intensity difference of the first target point and the circle of equal intensity difference of the signal of the second target point.
In a second preferred embodiment, the test point is a test scenario of a fixed test point, and the tracking list and follow-up scenario of the close contact person can be modified, as shown in fig. 3.
Due to most of gathering occasions, the susceptible occasions are relatively closed, and the second target point B is difficult to move randomly along a circular track. Assuming a hospital here, the first target point a is entered from outside the hospital, the first target point a is a system-confirmed infected person, and the second target point B is left from the hospital. The AB measures the intensity difference from gradually decreasing, beginning to expand to a minimum until B disappears. The minimum should be close to AB1 rather than AB3, which would trigger the addition of the second target point to the intimate contact tracking list if the dwell time of the two targets in the first distance threshold range exceeded the second time threshold.
The correction of the invention also needs to call a scene map, the relative speed directions of the first target point A and the second target point B and the scene object position labels. And eliminating the position where the second target point B cannot appear by judging whether the position of the scene object intersects with the second target point B in a circle of rotation around the detection point, so that the position of the second target point B is corrected, and the positioning precision of the second target point is improved. The second target point B2 may not appear on any trajectory, the exit may be in other directions, and the present invention can estimate its position by the time the second target point B stays away.
In a third preferred embodiment, the test point is a test scenario of two fixed test points, as shown in fig. 3.
In the preferred embodiment, there are two probe points, a first probe point and a second probe point, the position of the first target point a is on a first iso-circle of the feedback signal around the first probe point, and the position of the second target point B is on a second iso-circle of the feedback signal around the second probe point, then the distance between the first target point a and the second target point B is the intersection of the first iso-circle and the second iso-circle, at which time the distance between the first target point and the second target point will appear as shown in fig. 4, with two values, AB ' a ' B ', but a ' B (AB ') has an error with it, and needs to be corrected as well.
In a fourth preferred embodiment, the test points are test scenes of two fixed test points, and positions where there is no close contact person can be excluded by combining positions of scene objects in concentric circles with equal intensity difference between the first target point and the second target point feedback signal, so that the positioning accuracy of the close contact person is improved, and the close contact person list is corrected.
In a particular physical environment, the test scenario of two fixed test points, which may also be combined with a scenario such as a high-speed railway car, the location of a 'or B' may not exist. And may also be considered in the layout.
The invention provides a gathered crowd tracking method based on a mobile phone positioning algorithm, which is applied to one or more test points, wherein the test points send Bluetooth detection signals or WIFI detection signals and receive feedback signals to target points, and the target points comprise feedback signals of a first target point and a plurality of second target points; drawing an equal intensity difference circle of the signal intensity difference according to the signal intensity difference of the feedback signal of the target point; the distance between the first target point and the second target point is determined by the intersection of the circle of equal intensity difference of the first target point and the circle of equal intensity difference of the signal of the second target point.
Other steps of the method for tracking the gathered people based on the mobile phone positioning algorithm are the same as those of the system device, and are not described again here.
According to the system for tracking the gathered people based on the mobile phone positioning algorithm, the scheduling device is used for obtaining information of close foundation persons, the MAC address is generally used as the unique identifier by the mobile terminal serving as the target point, and the MAC address can also be used as the identification identifier of the system. In recent years, many manufacturers have started to make their MACs invisible. WiFi, bluetooth device names, although not unique, may still be referred to. Once the mobile device of the destination point connects to the WiFi network, the identifying MAC address is still used.
The MAC address of the object of the invention is identifiable or obtainable by the partner. It will furthermore be constructed by the following method:
1. analyzing WiFi protocol control data packet, RTS, CTS, ACK
2. Resolving vendor specific protocols such as Access Network Query Protocol (ANQP), AWDL, Wi-Fi Direct.
3. By sending probe packets and examining response packets.
4. 802.11frame Sequence Number or Duration field, etc. are analyzed using stealth protocol blind spots.
The gathered crowd tracking system based on the mobile phone positioning algorithm has the functions of signal detection, data collection and even data analysis of a target point, and can be provided with a mobile phone application program, WiFi server additional software, a vehicle-mounted mobile user terminal and a special fixed detector. The vehicle-mounted mobile user side is suitable for monitoring sudden large-scale activities. The special fixed detector is suitable for dense public occasions.
In the aspect of protecting personal privacy, as an infrastructure of national hygiene and disease control, it is inevitable to collect and use information related to personal identity under the authorization of relevant departments, which is also determined by special mission of epidemic situation tracking. The purpose of this identification is only to contact the contacted user, and is therefore limited to the user's telephone number.
The epidemic situation positioning and tracking system can directly authorize the personal identity of a target point by a user, and a telephone number needs to be input and verified when the user downloads and installs an application program. The user identity of the target point is identified through other cooperation software, such as a health code application program.
For the identity identification of the moving target, a partner WI-FI server which performs information transmission with the target point of the invention generally has the information of a login user; an authorized party detector is arranged on the fixed detection device and can intercept the analysis data packet and acquire the identity information of the target point.
The invention locates the close contact person by the technical means, identifies the mobile phone characteristic information of the close contact person, and does not relate to privacy such as personal communication content and the like. The data are analyzed and processed through big data and artificial intelligence, a traceable data chain is formed, and the traceable data chain can be matched with related departments to unlock close contacts and key groups of confirmed cases, so that departments such as a disease control center and the like can be helped to trace zero patients and superpropagation.
The system has the following beneficial effects on the protection and retrieval of the identity information of the target point user, and the system uses the relative position for positioning the target point, so the confidentiality is better than that of a tracking system of an operator. After the infected user in the target site has been diagnosed, there are several ways to contact the close contacts: a user who has installed a test application may naturally receive a notification; the user can input own MAC address inquiry or register for waiting notification at the relevant website. None of the above exposes the user specific address history information.
Because of the timeliness of infectious diseases, if the inquiry confirmation of the user is not received in the set time, the relevant department can start background identification to position the mobile phone number of the user according to the MAC address database. And if the address database still cannot locate the mobile phone number to find the contacter, locking a specific crowd according to the geographical position information of the test point. For example, a certain large conference has a patient to be diagnosed, and related departments can still allow the conference participants to input own information query. If the user is not certain that the user has ever been in contact, the system may be authorized to provide his or her historical geographical location track. The invention is based on the gathering crowd tracking system of the mobile phone positioning algorithm, and can prompt the user that the confirmed patient contacts at a certain position at a specific time according to the path and time of the infected person and the close contact person tracking list, so that the identification rate is higher.
The above description is provided for the purpose of illustrating the preferred embodiments of the present invention and will assist those skilled in the art in more fully understanding the technical solutions of the present invention. However, these examples are merely illustrative, and the embodiments of the present invention are not to be considered as being limited to the description of these examples. For those skilled in the art to which the invention pertains, several simple deductions and changes can be made without departing from the inventive concept, and all should be considered as falling within the protection scope of the invention.

Claims (8)

1.基于移动手机定位算法的聚集人群追踪系统，包括一个或多个测试点，其特征在于，1. the gathering crowd tracking system based on mobile phone positioning algorithm, comprises one or more test points, it is characterized in that, 所述测试点发送蓝牙探测信号或者WIFI探测信号，并接收对第一目标点和多个第二目标点的反馈信号，所述目标点的身份识别包括MAC地址、手机号码，并将反馈信号发送到数据收集装置；所述数据收集装置将反馈信号发送给数据分析装置；The test point sends a bluetooth detection signal or a WIFI detection signal, and receives feedback signals to the first target point and a plurality of second target points, the identity of the target points includes MAC address, mobile phone number, and sends the feedback signal to the data collection device; the data collection device sends the feedback signal to the data analysis device; 所述数据分析装置确定与所述第一目标点的行动轨迹距离为第一距离阈值范围内的第二目标点，将符合的第二目标点加入密切接触者列表；The data analysis device determines that the movement trajectory distance from the first target point is the second target point within the first distance threshold range, and adds the matched second target point to the list of close contacts; 所述测试点为一个，得到第一目标点的位置，通过第一目标点、第二目标点的反馈信号的信号强度差，分别绘制第一目标点、第二目标点信号强度差的等强度差圆，确定第一目标点与第二目标点的信号等强度差圆距离的集合，根据调取场景地图、第一目标点和第二目标点的相对运动方向、场景物体位置标签，确定第一目标点和第二目标点之间的距离。The test point is one, the position of the first target point is obtained, and the equal strength of the signal strength difference between the first target point and the second target point is drawn respectively according to the signal strength difference between the feedback signals of the first target point and the second target point. Difference circle: Determine the set of equal-intensity difference circle distances between the signals of the first target point and the second target point, and determine the first target point and the relative motion direction of the first target point and the second target point according to the retrieval scene map, the relative movement direction of the first target point and the second target point, and the scene object position label. The distance between a target point and a second target point. 2.根据权利要求1所述的基于移动手机定位算法的聚集人群追踪系统，其特征在于，所述测试点为两个，第一探测点和第二探测点；2. The clustered crowd tracking system based on a mobile phone positioning algorithm according to claim 1, wherein the test points are two, a first detection point and a second detection point; 第一目标点与第一探测点、第二探测点各自反馈信号分别绘制第一等强度圆，第一目标点的位置为第一目标点与第一探测点、第二探测点反馈信号分别绘制的两个第一等强度圆的交点；The first target point and the feedback signals of the first detection point and the second detection point are respectively drawn with a first equal-intensity circle, and the position of the first target point is drawn respectively by the feedback signals of the first target point and the first detection point and the second detection point. the intersection of two circles of first equal intensity; 第二目标点与第一探测点、第二探测点各自反馈信号分别绘制第二等强度圆，第二目标点的位置为第一目标点与第一探测点、第二探测点反馈信号分别绘制的两个第二等强度圆的交点；The second target point and the feedback signals of the first detection point and the second detection point are respectively drawn into a second equal-intensity circle, and the position of the second target point is respectively drawn for the feedback signals of the first target point and the first detection point and the second detection point. The intersection of two circles of second equal intensity; 第一目标点和第二目标点之间的距离就是第一等强度圆和第二等强度圆交点之间距离的集合；The distance between the first target point and the second target point is the set of distances between the intersections of the first equal-intensity circle and the second equal-intensity circle; 调取场景地图、第一目标点和第二目标点的相对运动方向、场景物体位置标签，确定第一目标点和第二目标点之间的距离。The scene map, the relative movement direction of the first target point and the second target point, and the position label of the scene object are retrieved to determine the distance between the first target point and the second target point. 3.根据权利要求2所述的基于移动手机定位算法的聚集人群追踪系统，其特征在于，根据场景物体的位置，以及在第一目标点的等强度差圆和第二目标点的信号等强度差圆中的位置，排除目标点所在位置。3. the gathering crowd tracking system based on mobile phone positioning algorithm according to claim 2, is characterized in that, according to the position of scene object, and the equal intensity difference circle of the first target point and the signal isointensity of the second target point The position in the difference circle, excluding the position of the target point. 4.根据权利要求3所述的基于移动手机定位算法的聚集人群追踪系统，其特征在于，所述第一目标点和第二目标点在第一距离阈值范围逗留时间超过第二时间阈值，触发将第二目标点加入所述第一目标点的密切接触者追踪列表的操作。4. the gathering crowd tracking system based on mobile phone positioning algorithm according to claim 3, is characterized in that, described first target point and the second target point stay in the first distance threshold range for more than the second time threshold, triggering An operation of adding the second target point to the close contact tracing list of the first target point. 5.根据权利要求4所述的基于移动手机定位算法的聚集人群追踪系统，其特征在于，所述数据分析装置完成目标点的分析工作。5 . The clustered crowd tracking system based on a mobile phone positioning algorithm according to claim 4 , wherein the data analysis device completes the analysis of the target point. 6 . 6.根据权利要求5所述的基于移动手机定位算法的聚集人群追踪系统，其特征在于，所述MAC地址的识别算法通过合作方获得，具体包括以下任选一步骤：6. the gathering crowd tracking system based on mobile phone positioning algorithm according to claim 5, is characterized in that, the identification algorithm of described MAC address is obtained by partner, specifically comprises following optional one step: 分析WiFi协议控制数据包；Analyze WiFi protocol control packets; 解析厂商特定协议；Parse vendor-specific protocols; 通过发送探测数据包，并检验响应数据包；By sending probe packets and checking response packets; 利用隐身协议盲点。Take advantage of stealth protocol blind spots. 7.根据权利要求1所述的基于移动手机定位算法的聚集人群追踪系统，其特征在于，所述目标点的识别定位设置在手机应用程序、WIFI服务器、车载移动用户端、专用固定探测器。7 . The clustered crowd tracking system based on mobile phone positioning algorithm according to claim 1 , wherein the identification and positioning of the target point is set in a mobile phone application, a WIFI server, a vehicle-mounted mobile client, and a dedicated fixed detector. 8 . 8.一种基于移动手机定位算法的聚集人群追踪方法，应用于一个或多个测试点，包括以下步骤：8. A gathering crowd tracking method based on a mobile phone positioning algorithm, applied to one or more test points, comprising the following steps: 所述测试点发送蓝牙探测信号或者WIFI探测信号，并接收对目标点的反馈信号；The test point sends a Bluetooth detection signal or a WIFI detection signal, and receives a feedback signal to the target point; 所述目标点包括第一目标点和多个第二目标点的反馈信号；The target point includes feedback signals of a first target point and a plurality of second target points; 通过目标点的反馈信号的信号分析，以及调取场景地图、第一目标点和第二目标点的相对运动方向、场景物体位置标签，确定第一目标点和第二目标点之间的距离；Determine the distance between the first target point and the second target point through signal analysis of the feedback signal of the target point, and fetching the scene map, the relative motion direction of the first target point and the second target point, and the position label of the scene object; 所述第一目标点的行动轨迹距离为第一距离阈值范围内的第二目标点，将符合的第二目标点加入密切接触者列表；The movement trajectory distance of the first target point is the second target point within the range of the first distance threshold, and the second target point that matches is added to the list of close contacts; 所述测试点为一个，目标点的反馈信号的信号分析包括：得到第一目标点的位置，通过第一目标点、第二目标点的反馈信号的信号强度差，分别绘制第一目标点、第二目标点信号强度差的等强度差圆，确定第一目标点与第二目标点的信号等强度差圆距离的集合。The test point is one, and the signal analysis of the feedback signal of the target point includes: obtaining the position of the first target point, drawing the first target point, The equal-intensity difference circle of the signal intensity difference of the second target point determines the set of distances between the equal-intensity difference circles of the signals of the first target point and the second target point.
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