Subway scene personnel contact traceability method

Abstract

The invention belongs to the technical field of public health safety, and particularly relates to a subway scene personnel contact traceability method, which comprises the following steps of: 1, continuously acquiring WiFi MAC codes and Bluetooth MAC information of mobile terminal equipment appearing at each time point and each position through a daily operation platform; step 2, extracting a mobile phone WIFI MAC code and a Bluetooth MAC code of the tested main body through a daily operation platform; step 3, calculating personnel appearing at the same time and at the same place as the detected main body through a daily operation platform, estimating the distance between the personnel and the detected main body according to the RSSI strength value, estimating the time of the personnel in the same area with the detected main body according to the simultaneous acquisition times, obtaining an MAC list in contact with the detected main body, and storing the MAC list in the detected main body; sequencing can be carried out according to the contact time and distance; 4, determining contact persons in the station hall, the platform and the transfer channel; 5, determining the contact in the train compartment; and step 6, uploading the MAC list to a big data platform.

Description

Technical Field

[0001] The present invention belongs to the field of public health and safety technology, and specifically relates to a method for tracing personnel contact in subway scenarios. Background Art

[0002] The Chinese patent with application number 202021935835.3 discloses a real-time passenger flow monitoring system for subway platforms. The system mainly uses a Wi-Fi probe module to continuously collect the MAC addresses of mobile terminal devices in the monitored area, and transmits the collected MAC data to data collectors, data processors and other modules for real-time calculation and storage of passenger flow.

[0003] Although this patented technology can be used for passenger flow monitoring in subway scenarios, it still has some shortcomings. First, it only collects Wi-Fi information, and when some mobile terminals turn off the Wi-Fi function, the system will not be able to monitor these terminals, resulting in omissions in monitoring data. Secondly, it is difficult to accurately calculate the actual distance between the mobile terminal and the probe by relying solely on Wi-Fi probes, which affects the accuracy of passenger flow statistics. Furthermore, it is difficult for the system to clearly distinguish the direction and distribution of passenger flow in different areas such as platforms and carriages.

[0004] At present, my country's rail transit system, especially in first-tier cities, is increasingly developed, with subway lines crisscrossing, and the operating intensity and passenger flow are also increasing. Some subway lines are even crowded during peak hours, and passengers are in close contact. How to quickly and efficiently trace and reconstruct the dense flow trajectory of people during key periods such as epidemics based on existing wireless communication technologies such as Wi-Fi and Bluetooth, while ensuring personal privacy and security, especially for the accurate analysis and tracing of passenger contact in subway scenes during peak hours, has become an important technical problem that needs to be solved urgently.

[0005] The above technical problems can be solved well by the subway scene personnel contact tracing method of the present invention. The method adopts the integrated application of two wireless communication technologies, Wi-Fi and Bluetooth, which can not only improve the detection coverage of mobile terminals, but also improve the accuracy of positioning, and can more accurately distinguish the flow trajectories of people in different areas of the subway, providing strong technical support for refined crowd control. Summary of the invention

[0006] The purpose of this invention is to propose a method for tracing personnel contact in subway scenarios, which can quickly and effectively obtain personnel who have had contact with epidemic-positive infected persons, thereby buying precious time for epidemic prevention and control.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for tracing the source of contact between people in a subway scene comprises the following steps:

[0009] Step 1: Continuously collect the WiFi MAC code and Bluetooth MAC information of mobile terminal devices appearing at each time point and each location through the deployed detection platform;

[0010] Step 2: Extract the WiFi MAC code and Bluetooth MAC code of the mobile phone of the object under test from the collected data;

[0011] Step 3: Based on the collected data, calculate other mobile terminals that appear in the same time and space as the object being tested, and estimate the distance between the mobile terminal and the detection platform according to the wireless signal strength. Combined with the number of simultaneous detections at multiple detection points, estimate the length of time the mobile terminal stays in a certain area, and obtain a list of MAC addresses that have had contact with the object being tested;

[0012] Step 4: Analyze the detected object and the contactor. If the detected object and the contactor are detected at least twice by the same detection point, and the time difference reaches a preset value, and the change of the wireless signal strength of at least two times is within the threshold range, it is determined that the contact occurred in the coverage area of ​​the detection point;

[0013] Step 5: If the tested subject and the contact person are detected at least twice at the same time by a single detection point or multiple adjacent detection points, it is determined to be a contact within the train compartment;

[0014] Step 6: Merge the MAC address list with the operator user data, map the WiFi MAC to the SIM card number list 1, and the Bluetooth MAC to the list 2, and take the union of the two lists to generate the final list of contacts.

[0015] According to an implementation of the present application, in step three, the obtained MAC address list is also prioritized according to the length of contact time and the distance.

[0016] According to an implementation manner of the present application, in step 4, the preset time difference is 1 minute, and the wireless signal strength change threshold is 20.

[0017] According to one implementation of the present application, the detection platform integrates a WiFi and Bluetooth dual-mode wireless access point, which continuously sends broadcast frames to the surroundings, and the mobile terminal actively sends a probe request frame to be detected by the MAC address.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] 1. The accuracy of passenger flow detection in carriages based on WiFi can be improved;

[0020] 2. The present invention adopts a WiFi and Bluetooth fusion algorithm. As long as one of the characteristics is met, the collection rate can be improved, and the false alarm rate can be significantly reduced, even to zero;

[0021] 3. The present invention can be used directly in subway networks that are already covered by WiFi or Bluetooth;

[0022] 4. In cities without WiFi or Bluetooth coverage, AP points can be deployed in subway cars to solve the problem of the highest traffic density scene;

[0023] 5. The present invention is fully automatic, fast, accurate and effective. For a measured subject, the system can calculate the subway travel chain of the person (entering the station, the train taken, the carriage, transfer, and exiting the station) within a few seconds, and can calculate the people who have had contact with the person, thereby buying precious time for epidemic prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The operating principle of the embodiment of the subway scene personnel contact tracing method of the present invention is shown as follows Figure 1 ;

[0025] Figure 2 The operating principle of the embodiment of the subway scene personnel contact tracing method of the present invention is shown as follows Figure 2 . DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the present invention, the technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0027] like Figure 1-Figure 2 As shown, the subway scene personnel contact tracing method of the present invention includes the following steps:

[0028] Step 1: Through the deployed detection platform, the Wi-Fi MAC code and Bluetooth MAC information of mobile terminal devices appearing at each time point and each location are continuously collected. The detection platform contains multiple integrated Wi-Fi and Bluetooth dual-mode wireless access points (APs). These APs continuously send broadcast frames to the surrounding area. Mobile terminals such as mobile phones will also actively send probe request frames to find available APs. When the AP detects the probe frame, it can obtain the MAC address of the mobile terminal. The APs in the detection platform are deployed in key areas such as subway station halls, platforms, transfer passages and train carriages to form a full coverage detection network.

[0029] By adopting Wi-Fi and Bluetooth dual-mode APs, on the one hand, the problem of monitoring omissions caused by only collecting single Wi-Fi information can be avoided; on the other hand, the application of Bluetooth technology helps to improve the detection accuracy of mobile terminal locations, thereby enhancing overall monitoring and traceability capabilities.

[0030] Step 2: Extract the Wi-Fi MAC code and Bluetooth MAC code of the mobile phone of the tested object from the massive data collected by the above detection platform. The tested object can be a confirmed case, close contact, or other key focus object. For a known tested object, the MAC identifier of its mobile terminal can be quickly locked from the data, laying the foundation for subsequent analysis.

[0031] Step 3: Based on the collected data, calculate other mobile terminals that appear in the same space-time coordinate range as the measured object, and estimate the distance between the mobile terminal and the AP based on the wireless signal strength RSSI (Received Signal Strength Indication). Combined with the number of times it is detected by multiple APs at the same time, estimate the length of time the mobile terminal stays in a certain area, thereby obtaining a list of MAC addresses that have had contact with the measured object. The list can also be prioritized according to the length of contact time and distance.

[0032] Through comprehensive analysis of RSSI values ​​and AP detection times, it is not only possible to determine whether a mobile terminal has been in contact with the object being tested, but also to more accurately estimate the duration and distance of contact between the two parties, thereby making a more scientific assessment of the contact risk. At the same time, intelligent sorting of the obtained MAC list can more efficiently lock and focus on targets with higher risk levels.

[0033] Step 4: Analyze the position and time relationship between the detected object and the contactor. If the object is detected by the same AP at least twice, and the time difference between the first and last detections is more than 1 minute, and the RSSI change amplitude of at least 2 times is within the preset threshold (such as 20), it is determined that the contact occurred in the station hall, platform, transfer channel and other areas covered by the AP.

[0034] Through the above methods, it can be more accurately determined that the contact between the measured object and other people occurred in the station hall, platform or transfer channel area. Among them, the requirement of a time difference of 1 minute can avoid the misjudgment of simple passing events as contact; and if the RSSI change amplitude is controlled within a certain threshold range, it can be determined that the relative position relationship of the movement trajectories of both parties has not changed significantly. Only when these two conditions are met at the same time can it be determined that a real contact event has occurred.

[0035] Step 5: If the detected object and the contactor are detected by a single AP at the same time, or detected by multiple nearby APs at least twice at the same time, it is determined that the contact occurred in the train compartment. This is because the train compartment is a closed moving space. As long as they are detected by adjacent APs, they can still be considered to be in the same position even if there is a certain displacement.

[0036] For the small and closed mobile environment of a train compartment, the present invention adopts a special determination strategy, that is, as long as the detected object and the contactor are detected by a single AP or multiple nearby APs at the same time, it can be confirmed that the contact event between the two parties occurred in the compartment, instead of in open areas such as platforms, which requires further identification based on time and displacement.

[0037] Step 6: Merge the MAC address list obtained through the above analysis with the operator's user data. Specifically, map the Wi-Fi MAC address to the corresponding SIM card number list 1, and map the Bluetooth MAC address to list 2. Finally, take the union of the two lists to generate the final list of contacts, providing an accurate personnel database for subsequent work.

[0038] After obtaining the list of MAC addresses that have come into contact with the measured object, it is necessary to associate these MAC addresses with the actual user identities to obtain the exact list of people. At this time, with the help of the operator's user database, the Wi-Fi MAC can be mapped to a SIM card number list, and the Bluetooth MAC can be mapped to another SIM list. Finally, the two lists are combined to generate the final contact list. Through this step, key targets can be accurately targeted from massive data in an efficient manner.

[0039] Through the above steps, the subway scene personnel contact tracing method of the present invention not only utilizes the advantages of Wi-Fi and Bluetooth wireless communication technologies, but also improves the coverage of mobile terminal detection and the accuracy of position positioning, but also can more accurately distinguish the flow trajectories of personnel in different areas of the subway, providing strong technical support for refined crowd control.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A method for tracing the source of contact between people in a subway scene, characterized in that: The steps include: Step 1: Continuously collect the WiFi MAC code and Bluetooth MAC information of mobile terminal devices appearing at each time point and each location through the deployed detection platform; Step 2: Extract the WiFi MAC code and Bluetooth MAC code of the mobile phone of the object under test from the collected data; Step 3: Based on the collected data, calculate other mobile terminals that appear in the same time and space as the object being tested, and estimate the distance between the mobile terminal and the detection platform according to the wireless signal strength. Combined with the number of simultaneous detections at multiple detection points, estimate the length of time the mobile terminal stays in a certain area, and obtain a list of MAC addresses that have had contact with the object being tested; Step 4: Analyze the detected object and the contactor. If the detected object and the contactor are detected at least twice by the same detection point, and the time difference reaches a preset value, and the change of the wireless signal strength of at least two times is within the threshold range, it is determined that the contact occurred in the coverage area of ​​the detection point; Step 5: If the tested subject and the contact person are detected at least twice at the same time by a single detection point or multiple adjacent detection points, it is determined to be a contact within the train compartment; Step 6: Merge the MAC address list with the operator user data, map the WiFi MAC to the SIM card number list 1, and the Bluetooth MAC to the list 2, and take the union of the two lists to generate the final list of contacts.

2. The method for tracing the source of contact between people in subway scenes according to claim 1 is characterized in that: In step three, the obtained MAC address list is also prioritized according to the contact time and distance.

3. The method for tracing the source of contact between people in subway scenes according to claim 1 is characterized in that: In step 4, the preset time difference is 1 minute, and the wireless signal strength change threshold is 20.

4. The method for tracing the source of contact between people in subway scenes according to claim 1 is characterized in that: The detection platform integrates WiFi and Bluetooth dual-mode wireless access points, which continuously send broadcast frames to the surroundings, and the mobile terminal actively sends probe request frames to detect the MAC address.

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