CN114157986B - Close-contact crowd identification method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application relates to a close-contact crowd identification method, a device, electronic equipment and a storage medium, wherein the MAC addresses of all intelligent equipment in a monitoring area or equipment are obtained in real time; determining the MAC address of the first target based on the first target, and marking the MAC address as the first target MAC address; searching a path site ID of a first target MAC address, determining the MAC address counted under the related site ID as a close-contact MAC address, and determining a holder of the corresponding intelligent equipment as a close-contact crowd; when the first target MAC address or the close-contact MAC address appears in the monitoring area or the equipment, a warning is sent out; and or; and when the MAC address in the monitoring area or the equipment exceeds the threshold value, a warning is sent out. The method can efficiently and accurately identify the close-contact crowd, so that the target crowd can be determined as soon as possible.
Description
Technical Field
The application relates to personnel activity track monitoring, in particular to a close-contact crowd identification method, a close-contact crowd identification device, electronic equipment and a storage medium.
Background
In some situations, it is necessary to track and monitor a specific group of people in order to grasp the moving track of the target group and determine the group in close contact with the target group. At present, for the judgment of the close-contact crowd, the travel information of the close-contact crowd can be recorded only according to the recall of the parties, then the crowd overlapping in the same time period and the areas is regarded as suspicious crowd according to the suspicious or important dangerous areas of the travel information standard, and all people in the area need to be screened, so that the time and the effort are consumed. In addition, there are at least the following disadvantages:
1. Limited by the memory and dictation of the principal, once the principal forgets, leaks, or deliberately hides, this can cause a pointing offset of the data, thus yielding erroneous results;
2. The lack of accurate time period statistics makes the counted data not high in accuracy;
3. the area of the positioning is too large, and more interference data is formed.
Disclosure of Invention
The application aims to overcome the defects of the prior art and provides a method, a device, electronic equipment and a storage medium for identifying a close-contact crowd, which can identify the close-contact crowd efficiently and accurately, so as to determine a target crowd as soon as possible.
The aim of the application is realized by the following technical scheme:
a method of identifying a population of individuals in close proximity, the method comprising:
acquiring MAC addresses of all intelligent devices in a monitoring area or device in real time;
determining the MAC address of the first target based on the first target, and marking the MAC address as the first target MAC address;
Searching a path site ID of a first target MAC address, determining the MAC address counted under the related site ID as a close-contact MAC address, and determining a holder of the corresponding intelligent equipment as a close-contact crowd;
When the first target MAC address or the close-contact MAC address appears in the monitoring area or the equipment, a warning is sent out;
And or;
and when the MAC address in the monitoring area or the equipment exceeds the threshold value, a warning is sent out.
According to the application, the corresponding intelligent equipment is locked by utilizing the MAC address, so that the holder of the intelligent equipment is indirectly locked, and the aim of quickly locking the target group is fulfilled. According to the application, the MAC address can be utilized to accurately position the time node where the first target appears and the detailed moving track thereof, so that the object which is closely connected with the first target in the same time can be rapidly positioned, the mode is not needed to rely on artificial memory and is obtained by calculation through a computer, the data is free from error and leakage, the errors and memory lack existing by people can be effectively solved, and the accuracy and the integrity of the data are improved.
Further, the monitoring area includes a public place, an office area, and the device includes a vehicle. The use environment of the application is mainly applied to public places and public transportation, because the places are specially densely populated and are easily in close contact, the application is a key monitoring area.
Further, the transportation means are buses, taxis, net-bound buses and subways. In public transportation, especially, transportation means such as subways, buses, network buses and taxis are concentrated and are generally closed spaces, so that people in the same transportation means can be regarded as close-connected people only in the same time period, the places cannot be accurately remembered by means of artificial memory, for example, a person who takes a bus, the parties or the close-connected people cannot judge the people by themselves.
Further, the present application also includes a process of determining a seal level, comprising:
Marking a first coordinate and a second coordinate of a first target MAC address in a certain time period to form a vector of the first target MAC address, and marking the vector as a target vector;
Marking a first coordinate and a second coordinate of each close-contact MAC address in the same time to form a close-contact vector of each close-contact MAC address;
Judging the direction of each close contact vector and the target vector, judging that each close contact MAC in opposite direction is a central close contact crowd or a central observation object, judging that each close contact MAC in opposite direction is a non-central close contact crowd, judging that each close contact MAC in opposite direction is a secondary close contact, or judging that the angles of the close contact MAC in opposite directions are sequentially from small to large
Further, the path station ID refers to a station ID from a first occurrence of the first destination MAC address in a set period of time to a station ID of a last vanishing place.
Since traceability must be achieved in this close-fitting behavior, the place where the MAC address appears and disappears must be counted for a long time, where the last place where it disappears refers to the last point in time when the first target was found, and then traced back in this way, and the first occurrence in the valid time is the first occurrence time.
Further, a method for filtering MAC addresses is further included to exclude non-conforming MAC data, including:
collecting all MAC addresses in a monitoring area or equipment and storing the MAC addresses in a server;
And when the times of the MAC address in the server reach a set threshold value and the time difference between any two continuous occurrences is not more than 2 hours, judging the MAC address as effective data.
Since the MAC data is regional, the boundary of the region is not detailed, so that the interference data out of the boundary is needed to be screened out, thereby improving the reliability of the data.
Further, after all the MAC addresses in the monitoring area or the equipment disappear, storing the prior effective MAC addresses;
After the MAC addresses in the monitoring area or the equipment disappear completely, the new MAC addresses enter the monitoring area or the equipment, and then the monitoring area or the equipment is restarted to execute according to the close-contact crowd identification method, and the previous data are not covered.
The reason for keeping the previous data is that the traceability is based on the time period determined by the close contact person, and if the close contact is considered as the close contact crowd within 5 days, the data before 5 days must be traced, so that the MAC address data cannot be covered, and a certain period of time should be stored.
Further, the validity period of the MAC address data storage is 14-30 days, and data exceeding 30 days can be cleared or covered.
A close-fitting crowd identification device comprising:
a MAC address acquisition device installed in the monitoring area or device;
A server for receiving the MAC address data uploaded by the MAC address acquisition device;
a processor module configured to perform the method of any one of claims 1-7;
And the alarm equipment is controlled by the server and used for giving an alarm.
An electronic device, comprising:
The data acquisition module is used for acquiring the MAC addresses of all intelligent devices in the monitoring area or the device;
a processor, and a memory and an alarm communicatively connected to the processor;
The memory stores instructions or computer programs that are executed by the processor to perform the method of identifying individuals in close proximity.
A storage medium storing a computer program executable by a computer or a processor for implementing the method of contact person identification.
The beneficial effects of the application are as follows: compared with the traditional mode, the application provides the method for determining the accurate moving track of the target person by associating the MAC address with the person, thereby realizing the identification of the close-contact crowd and basically realizing the effects of no error leakage, no interference and high accuracy of the data.
Drawings
FIG. 1 is a diagram illustrating MAC address data filtering according to an embodiment;
FIG. 2 is a schematic diagram of a close-coupled crowd judgment in one embodiment;
FIG. 3 is a schematic diagram of a treatment after the close-fitting crowd is found in an embodiment;
fig. 4 is a schematic diagram of a close-contact crowd identification device in an embodiment.
Detailed Description
The technical scheme of the present application is described in further detail below with reference to specific embodiments, but the scope of the present application is not limited to the following description.
A method of identifying a population of individuals in close proximity, the method comprising:
acquiring MAC addresses of all intelligent devices in a monitoring area or device in real time;
determining the MAC address of the first target based on the first target, and marking the MAC address as the first target MAC address;
Searching a path site ID of a first target MAC address, determining the MAC address counted under the related site ID as a close-contact MAC address, and determining a holder of the corresponding intelligent equipment as a close-contact crowd;
When the first target MAC address or the close-contact MAC address appears in the monitoring area or the equipment, a warning is sent out;
And or;
and when the MAC address in the monitoring area or the equipment exceeds the threshold value, a warning is sent out.
Optionally, in some embodiments, the monitoring area comprises a public place, an office area, and the device comprises a vehicle. The transportation means are buses, taxis, net-bound buses and subways.
Taking a bus as an example, referring to the description of the process shown in the specification 1, the process is as follows:
Firstly, judging whether the bus is in the operation time, if so, starting an MAC address acquisition function to acquire the MAC address of a passenger in the bus;
Then filtering MAC addresses, wherein the buses are moving objects, and the MAC addresses around the driving route can be detected in the moving process so as to store the MAC addresses, but the crowds are not in the buses, and the buses are relatively a closed space, so that the MAC addresses of the crowds are interference data and need to be screened and filtered;
After the effective MAC addresses are filtered, matching the site IDs is carried out, so that the true close-contact crowd is determined.
In the whole execution process, when the first target MAC address or the MAC address of the close-contact crowd or the number of the MAC addresses exceeds the standard, a corresponding prompt alarm is sent.
Referring to fig. 3, the server marks the MAC address of the smart device of the close-fitting crowd; in the embodiment, the WiFi probe is adopted to acquire the MAC addresses of all intelligent devices in a monitoring area or the device in real time, and when the built-in WiFi probe of the bus identifies the MAC addresses of the intelligent devices of the close-contact crowd, a warning is sent out; in addition, the WiFi probe sets a detection threshold, and when the MAC address in the vehicle is detected to exceed the detection threshold, a warning is sent out, so that the number of passengers can be controlled under different epidemic situation prevention and control requirements.
In another aspect, in order to enhance the reliability of the data, the embodiment further provides a determination of multiple contacts, which is used for performing further classification processing on the close-contact crowd, and the specific implementation manner is as follows:
determining the MAC address of a first target, and marking the MAC address as the first target MAC address;
Marking a first coordinate and a second coordinate of a first target MAC address in a certain time period to form a vector of the first target MAC address, and marking the vector as a target vector;
Marking a first coordinate and a second coordinate of each close-contact MAC address in the same time to form a close-contact vector of each close-contact MAC address;
and judging the direction of each close contact vector and the target vector, judging that each close contact MAC which is in opposite direction and downward direction is a central close contact crowd or a central observation object, judging that the close contact vector is in the opposite direction is a non-central close contact crowd, and judging that the close contact vector is in the opposite direction and the opposite direction is a secondary close contact, or judging in sequence from small to large according to the included angle.
In this embodiment, the above-mentioned certain time period is a plurality of time periods continuously taken from the whole-course route site ID, and the corresponding target vector and the close-contact vector are also a plurality of time periods, so as to ensure the reliability of the data.
Alternatively, in some embodiments, the path station ID refers to a station ID of a first destination MAC address that appears first within a set period of time, to a station ID of a last vanishing location.
Optionally, in some embodiments, a method for filtering MAC addresses is further included to exclude non-conforming MAC data, including: collecting all MAC addresses in a monitoring area or equipment and storing the MAC addresses in a server; and when the times of the MAC address in the server reach a set threshold value and the time difference between any two continuous occurrences is not more than 2 hours, judging the MAC address as effective data. The method comprises the steps of (1) collecting wifi probe data of a bus in real time, storing the wifi probe data in a server, and counting the wifi probe data by the server; (2) The server screens and filters wifi probe data, the data retention rule is: the times of the MAC address in the server reach a set threshold (more than 10 times), and the time difference between any two continuous occurrences is not more than 2 hours; (3) And storing the filtered MAC address and the acquisition time point before entering the bus station, matching the station id, and counting the MAC address again after exiting the bus station, wherein the previous data is not covered.
Alternatively, in some embodiments, when the MAC addresses within the monitoring area or device have all disappeared, the previously valid MAC address is stored; after the MAC addresses in the monitoring area or the equipment disappear completely, the new MAC addresses enter the monitoring area or the equipment, and then the monitoring area or the equipment is restarted to execute according to the close-contact crowd identification method, and the previous data are not covered. For example, in the above example of a bus, all passengers need to get off after the bus arrives at the terminal, at this time, all MAC addresses are replaced once, and when this occurs, the acquisition, identification, screening and determination of the close-contact crowd of the MAC addresses of the passengers who get on new are performed again according to the above method, while the data of the previous MAC address (the person who gets off) is stored in the server and stored for a period of time for the subsequent data to be traced and called. Optionally, in some embodiments, the validity period of the MAC address data storage is 14-30 days, and data exceeding 30 days may be cleared or covered, and it is noted that this embodiment only illustrates the validity period of data, and in practical applications, specific time should be set according to practical requirements, for example, the data may be stored for a long time, for example, exceeding half a year or a year. And identifying the MAC address with the released close connection again, and not triggering an alarm.
Referring to fig. 4, optionally, this embodiment further provides a device for identifying a close-contact crowd, including: a MAC address acquisition device installed in the monitoring area or device; a server for receiving the MAC address data uploaded by the MAC address acquisition device; the processor module is executed according to the close-contact crowd identification method; and the alarm equipment is controlled by the server and used for giving an alarm. The system comprises a server, a processor module, an alarm device, a processor module and an alarm device, wherein the MAC address acquisition device is in communication connection with the server, the processor module is in electric connection with the server or in communication connection, and is used for calling MAC address data in the server to process, and the alarm device is in communication connection with the processor or in electric connection and receives a control instruction of the processor. In other words, when the application occasion is a bus, only the MAC address acquisition equipment and the alarm equipment can be installed in the bus, and other equipment can be arranged in the service center so as to realize interconnection sharing of big data.
The MAC address acquiring device in this embodiment is a WiFi probe, and uses the WiFi probe to identify mobile terminal devices such as a mobile phone, and has the following functions:
identifying passenger riding behaviors (boarding stops, alighting stops and riding vehicles) on the premise of guaranteeing personal privacy;
after the event occurs, the physical address of WiFi equipment of the diagnostician is collected, and the bus trip route and the riding vehicle of the diagnostician are identified;
the number and specific characteristics (bus travel path and vehicles of the packer) of the packer are determined by identifying the closely-connected behavior of the diagnostician and matching the physical address of the WiFi equipment of the mobile phone of the packer, and meanwhile, the system has the function of identifying the next closely-connected person. The physical addresses of WiFi equipment of the close-connector and the WiFi equipment of the secondary close-connector are listed in a monitoring list;
When the close-fitter and the secondary close-fitter take a car, the vehicle gives an alarm by identifying the physical address of the WiFi equipment, and the specific close-fitter and the secondary close-fitter are identified, so that the car taking is prevented and the medical detection is suggested;
after the close-fitting and sub-close-fitting persons release the attention through medical observation, the corresponding equipment is released from monitoring in the system.
In addition, the WiFi probe system identification number is adjustable, and when the threshold value is exceeded, the system alarms to prompt the carriage to not get on the passenger.
Referring to fig. 2, an exemplary application of the present application is for the identification of close-coupled people in epidemic situations, and the method is as follows:
determining a MAC address of the first target based on the hospital confirmed patient and the first target;
Then matching other MAC addresses under the related site ID of the patient so as to determine the patient as close-contact crowd;
The close proximity population is marked and a warning is issued when the MAC address of the close proximity population or the first target is detected. Meanwhile, when the number of people in the area exceeds a threshold, namely the crowd gathering density exceeds the standard, the alarm is also given so as to realize the purposes of evacuating people and avoiding gathering.
Optionally, the present embodiment further provides an electronic device, including:
The data acquisition module is used for acquiring the MAC addresses of all intelligent devices in the monitoring area or the device;
a processor, and a memory and an alarm communicatively connected to the processor;
The memory stores instructions or computer programs that are executed by the processor, and the processor executes the method for identifying the close-contact population according to the instructions or the computer programs.
Optionally, the present embodiment further provides a storage medium, configured to store a computer program executable by a computer or a processor, where the computer program is configured to implement the method for identifying a close-contact crowd.
The foregoing is merely a preferred embodiment of the application, and it is to be understood that the application is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the application are intended to be within the scope of the appended claims.
Claims (8)
1. A method of identifying a population of individuals in close proximity, the method comprising:
acquiring MAC addresses of all intelligent devices in a monitoring area or device in real time;
determining the MAC address of the first target based on the first target, and marking the MAC address as the first target MAC address;
Searching a path site ID of a first target MAC address, determining the MAC address counted under the related site ID as a close-contact MAC address, and determining a holder of the corresponding intelligent equipment as a close-contact crowd;
When the first target MAC address or the close-contact MAC address appears in the monitoring area or the equipment, a warning is sent out;
and/or;
When the number of the MAC addresses in the monitoring area or the equipment exceeds a threshold value, a warning is sent out;
Also included is a process of adhesion level determination comprising:
Marking a first coordinate and a second coordinate of a first target MAC address in a certain time period to form a vector of the first target MAC address, and marking the vector as a target vector;
Marking a first coordinate and a second coordinate of each close-contact MAC address in the same time to form a close-contact vector of each close-contact MAC address;
Judging the direction of each close contact vector and the target vector, judging that each close contact MAC which is in opposite direction and downward direction is a central close contact crowd or a central observation object, judging that the close contact vector is in opposite direction is a non-important close contact crowd, and judging that the close contact vector is in opposite direction and opposite direction is a secondary close contact, or judging in sequence from small to large according to the included angle;
The method also comprises a MAC address screening method for eliminating non-conforming MAC data, comprising the following steps:
collecting all MAC addresses in a monitoring area or equipment and storing the MAC addresses in a server;
And when the times of the MAC address in the server reach a set threshold value and the time difference between any two continuous occurrences is not more than 2 hours, judging the MAC address as effective data.
2. The method of claim 1, wherein the monitoring area comprises a public location, an office area, and the device comprises a vehicle.
3. The method of claim 2, wherein the vehicle is a bus, a passenger car, a taxi, a net bus, or a subway.
4. A method of closely fitting people identification according to claim 3, characterized in that after the MAC address in the monitoring area or device has all disappeared, the execution resumes according to the method of any one of claims 1-3 after a new MAC address has entered the monitoring area or device and before the previous data is not covered.
5. The method of claim 4, wherein the MAC address data is stored for 14-30 days, and data exceeding 30 days is cleared or covered; and identifying the MAC address with the released close connection again, and not triggering an alarm.
6. A close-fitting crowd identification device, comprising:
a MAC address acquisition device installed in the monitoring area or device;
A server for receiving the MAC address data uploaded by the MAC address acquisition device;
A processor module configured to perform the method of any one of claims 1-5;
And the alarm equipment is controlled by the server and used for giving an alarm.
7. An electronic device, comprising:
The data acquisition module is used for acquiring the MAC addresses of all intelligent devices in the monitoring area or the device;
a processor, and a memory and an alarm communicatively connected to the processor;
The memory stores instructions or computer programs for execution by the processor, which perform the method of any of claims 1-5.
8. A storage medium storing a computer program executable by a computer or processor for implementing the method of any one of claims 1-5.
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