CN112002431A - Method and system for discovering close contacts of specific user by utilizing electromagnetic signals - Google Patents
Method and system for discovering close contacts of specific user by utilizing electromagnetic signals Download PDFInfo
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Abstract
The invention discloses a method and a system for discovering a close contact person of a specific user by utilizing an electromagnetic signal. The method comprises the steps of periodically acquiring electromagnetic signals of a space environment where a user is located, attaching timestamps and user acquisition equipment IDs to form electromagnetic records, storing the electromagnetic records into a remote server, carrying out correlation analysis on the electromagnetic records of the specific user acquired in the same time period and the electromagnetic records corresponding to the acquisition equipment IDs associated with other users through the remote server, and obtaining the user associated with the other acquisition equipment IDs which have intersection with the specific user in the space position at the same time as a suspected close contacter with the specific user according to the correlation analysis result. The invention realizes tracing and tracing the track of a specific user more finely and more completely and distinguishes the close contact person of the specific user more accurately by utilizing the perception function of the portable equipment of the user to the space electromagnetic signal, and has great application value in the public health fields of epidemic prevention and control and the like.
Description
Technical Field
The invention relates to the field of infectious disease control, epidemic situation control and tracing of other individual contacts, and precisely discovers/distinguishes the close contacts of specific users (such as patients with confirmed diagnoses) by an informatization means so as to quickly take measures for the users needing medical observation and quickly eliminate the risk of disease transmission. And more particularly to a method and system for discovering a close contact of a particular user using electromagnetic signals.
Background
The novel coronavirus pneumonia is a respiratory disease with very strong infectivity. The model for spreading the novel coronavirus pneumonia is deeply researched, and the joint defense joint control of diseases plays a very key role. With the outbreak of new coronavirus, public health emergencies such as infectious disease control and epidemic prevention and control, which require joint defense and joint control in the whole society, are increasingly emphasized by governments and medical health institutions. For governments of various regions, early warning is carried out in risk areas of jurisdictions, potential risk personnel are found and investigated, trace tracing is carried out on confirmed cases, trace tracing and observation are carried out on rehabilitation patients, and tracing of crowd flowing dynamic is measures which are urgently needed to be taken when the emergency public health incidents are faced.
At present, the main technical means for tracing the source and the track of the confirmed cases is to obtain the traces of the confirmed cases and the related contact personnel by describing the entrance and exit places and the number of the train flights taken by the respondents. Secondly, the location where the confirmed case passes within a certain period of time is obtained by utilizing the positioning function of the smart phone. Thirdly, the card punching mode in the public places which is being popularized at present is realized, and the passing places of the confirmed cases are determined approximately through the background retrieval of the card punching system. The technical means have different defects, the description of the respondents and the card punching in the public places are realized, once the confirmed cases are found, all the people in the public places, the relevant carriages and the relevant flights described or punched by the respondents can be listed as possible close contacts to be isolated, and the management of the isolated people is relatively extensive; the track tracing and track tracing of the confirmed cases are realized by utilizing the positioning function of the smart phone, although the positioning precision is greatly higher than the description of the respondents and the card punching in public places, the management of isolated people is as extensive as possible; in addition, once the examinee enters the room, the examinee can not be positioned in most scenes by adopting the smartphone for positioning to trace the source and track, so that the loss of the historical track is caused, and the trace tracing and the track tracking can not be effectively and completely carried out. For example, if a confirmed case is found in a residential building, all people in the entire residential building can be considered as close contacts if the survey description is traced and tracked by using card punching. Similarly, the track tracing and tracking are performed by using the positioning function of the smart phone, because in most of the current scenes, the indoor positioning cannot distinguish floors, and people in floors far away can be considered as close contacts.
Disclosure of Invention
The invention aims to provide a technical scheme for tracing the track more finely and tracing the track and accurately distinguishing the close contacts. Based on the principle that the intensity characteristics of electromagnetic signals in the same space region at the same time are highly similar, the method and the system for effectively and completely tracing the track are realized by utilizing the sensing function of a smart phone or other Internet of things devices (a bracelet, a door card, a smart watch and the like) carried by a user on the space clutter.
The technical scheme provided by the invention is specifically realized as follows:
a method of discovering an intimate contacter of a particular user using electromagnetic signals, the method comprising: the method comprises the steps that induction marks corresponding to electromagnetic signals in a space where the equipment is located, electromagnetic signal strength corresponding to the induction marks of the electromagnetic signals, induction marks corresponding to the electromagnetic signals and strength corresponding to the electromagnetic signals are periodically collected through equipment which is carried by a user and supports the perception function of the electromagnetic signals in the space, an electromagnetic induction sequence of the space where the equipment is located is formed, and electromagnetic records are formed and stored in a preset space electromagnetic sequence database after a time stamp and an ID (identity) of the collection equipment are attached to the electromagnetic sequence; extracting all spatial electromagnetic sequences corresponding to the associated acquisition equipment IDs of the specific users needing trajectory tracing and trajectory tracking within a certain period of time and all spatial electromagnetic sequences corresponding to other acquisition equipment IDs in the database from the spatial electromagnetic sequence database according to the acquired electromagnetic record timestamps for correlation analysis; obtaining users associated with other collection device IDs which have intersection with the specific user in the spatial position at the same time according to the result of the correlation analysis as suspected close contacts of the specific user in the time period; wherein the acquisition device ID can uniquely identify a specific acquisition device, associated with a specific user. The electromagnetic signal can be any one of Wi-Fi signal, Bluetooth beacon signal, geomagnetic field signal, mobile phone base station signal and GNSS signal.
Furthermore, the space electromagnetic sequence database is arranged in a remote server, and software on the acquisition equipment is executed autonomously or the remote server sends an instruction to trigger the acquisition equipment to periodically acquire induction marks corresponding to electromagnetic signals in the space where the acquisition equipment is located and the electromagnetic signal strength corresponding to the induction marks of the electromagnetic signals. The period of the electromagnetic signal collected by the collection equipment can be set or adjusted by the remote server according to actual conditions.
Further, the step of obtaining, according to the correlation analysis result, a user associated with the other acquisition device IDs which intersect with the specific user in the spatial position at the same time as a suspected close contact person of the specific user includes that a user meeting any one of the following conditions is taken as a suspected close contact person with the specific user:
a. and connecting the ID of the acquisition equipment associated with the specific user with the ID of other acquisition equipment associated with the same Wi-Fi AP in the same acquisition period.
b. And connecting the device ID associated with the specific user with other acquisition device IDs associated with the same Bluetooth beacon in the same acquisition period.
c. And analyzing the position information of the GNSS signals of all the users in the same acquisition period to obtain the users which are spatially associated with the IDs of other acquisition devices with position intersection with the specific user.
d. And in the same acquisition period, the correlation coefficient calculated by the electromagnetic induction sequence group acquired from the user and the electromagnetic induction sequence group acquired from the specific user according to a preset correlation coefficient calculation formula is larger than a preset value.
Specifically, after the spatial electromagnetic sequence database is queried to determine that the specific user acquires all nodes in the regional electromagnetic clustering model to which the records belong in the observation time period, determining users associated with all other acquiring device IDs which are spatially intersected with the specific user in the observation time period as candidate users through acquiring device ID/user information and timestamp information carried in each record in all the nodes, and counting the accumulated time of the candidate users and the specific user in the same region; and taking the candidate user with the accumulated time exceeding the preset minimum contact time as a suspected close contact person of the specific user. The regional electromagnetic clustering model comprises a plurality of nodes, and all records in each node are in the same spatial region; the method is generated by clustering all records in a certain region in the spatial electromagnetic sequence database according to an electromagnetic sequence by adopting a vector-based clustering algorithm.
Further, the method also comprises the step of randomly selecting a certain number of users related to the ID of the acquisition equipment in the district from the spatial electromagnetic sequence database as initial diagnosis cases, and inputting the initial diagnosis cases together with the lowest contact time and the infection coefficient into the regional electromagnetic clustering model to simulate the virus/disease transmission condition of the district for decision reference.
Accordingly, the present invention also provides a system for discovering an intimate contact of a particular user using electromagnetic signals, the system comprising: a user portable device and a remote server; the user portable equipment has a sensing function of space electromagnetic signals and is used for periodically acquiring induction identifications corresponding to the electromagnetic signals in the space where the user portable equipment is located and electromagnetic signal strength corresponding to the electromagnetic signal induction identifications, forming an electromagnetic induction sequence of the space where the user portable equipment is located by the induction identifications and the strength corresponding to the electromagnetic signals, attaching a timestamp and acquiring ID/associated user information of the user portable equipment, and then recording and uploading the information to a remote server; the remote server is used for receiving the records uploaded by the user portable devices and storing the records into a preset spatial electromagnetic sequence database; extracting all spatial electromagnetic sequences corresponding to the specific user associated acquisition equipment IDs which need to be subjected to trajectory tracing and trajectory tracing within a certain period of time and all spatial electromagnetic sequences corresponding to other acquisition equipment IDs in the database from the spatial electromagnetic sequence database according to the acquired electromagnetic record timestamps, and performing correlation analysis to determine users associated with other acquisition equipment IDs which have intersection with the specific user at the spatial position at the same time as suspected close contacts of the specific user; wherein, the collection device ID can uniquely identify a specific collection device and is associated with a specific user. The specific implementation details of the system correspond to the above method for discovering the close contact of a specific user by using an electromagnetic signal, that is, the system is used for executing the above method for discovering the close contact of a specific user by using an electromagnetic signal.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the technical solution provided by the present invention;
FIG. 2 is a schematic diagram of a remote server in accordance with the present invention;
FIG. 3 is a graph showing the relationship between the number of newly added confirmed case users and the minimum contact time after one-day propagation, under the conditions of infection coefficient 0.8 and initial user diagnosis rate 0.2, of a regional electromagnetic clustering model generated based on electromagnetic records collected in 1 month and 9 days of a certain jurisdiction in Shanghai city;
FIG. 4 is a graph showing the relationship between the number of newly-added confirmed case users and the infection coefficient after one-day propagation, under the conditions that the minimum contact time is set to 5 minutes and the initial user rate is fixed to 0.2, based on a regional electromagnetic clustering model generated based on electromagnetic records collected in 1 month and 9 days in a certain jurisdiction of Shanghai City;
fig. 5 is a graph showing a relationship between the number of cases finally confirmed and newly confirmed and the initial confirmed user rate after one-day propagation is predicted, based on a regional electromagnetic clustering model generated based on electromagnetic records collected in 1 month and 9 days of a certain jurisdiction in Shanghai, with an infection coefficient of 0.8 and a minimum contact time of 5 minutes.
Detailed Description
In order to make the technical problems, technical solutions and advantages solved by the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a method for discovering an intimate contact person of a specific user by utilizing an electromagnetic signal, which comprises the following steps: the method comprises the steps that equipment which is carried by a user and supports the perception function of space electromagnetic signals periodically collects induction marks corresponding to the electromagnetic signals in the space where the equipment is located, the electromagnetic signal strength corresponding to the induction marks of the electromagnetic signals, the induction marks and the strength corresponding to the electromagnetic signals form an electromagnetic induction sequence of the space where the equipment is located, and the electromagnetic induction sequence is added with a timestamp and an ID (identity) of the collection equipment to form a record and is stored in a preset space electromagnetic sequence database; extracting all spatial electromagnetic sequences corresponding to the ID of the specific user associated acquisition equipment needing trajectory tracing and trajectory tracking in a certain period of time and all spatial electromagnetic sequences corresponding to the IDs of other acquisition equipment in the database from the spatial electromagnetic sequence database according to the time stamp of the acquired electromagnetic record for correlation analysis; determining users associated with other collection device IDs which have intersection with the specific user at the spatial position at the same time according to the correlation analysis result as suspected close contacts with the specific user in the time period; wherein the acquisition device ID can uniquely identify a specific acquisition device, associated with a specific user.
In the embodiment shown in fig. 1, the smart phone 102 is triggered to periodically sense the signal strength of each WIFI AP in the space where the smart phone 102 is located by a program built in the smart phone 102 carried by the user autonomously or by a remote server 103 sending an instruction. In fig. 1, the identifiers of the Wi-Fi devices in the collection scene 101 are MAC addresses of the WIFI devices, and the MAC1-MAC4 indicates that the signal intensity of the WIFI APs detected in the space where the WIFI devices are located corresponds to S1-S4, so that the electromagnetic induction sequence collected by the user smartphone is [ (MAC 1, S1), (MAC 2, S2), (MAC 3, S3), (MAC 4, S4) ]. The user smartphone 102 adds a timestamp to the collected electromagnetic induction sequence, and adds any one of a smartphone phone number, an IMEI identification code, and the like, which can uniquely identify a specific user smartphone and form an electromagnetic record with identification information (such as an identification number for performing real-name authentication with the smartphone) associated with the user, and uploads the electromagnetic record to the remote server 103. As shown in fig. 2, the remote server includes a network communication device 201, a processor 202 and memory 203 executing program code, a computer readable storage medium 204 storing code, and a spatial electromagnetic sequence database 205. The remote server executes the code in the readable storage medium 204 to receive the uploaded electromagnetic records through the network communication device 201 and stores the electromagnetic records in the spatial electromagnetic sequence database 205.
Besides the Wi-Fi signals, the electromagnetic signals can also be any one of Wi-Fi signals, Bluetooth beacon signals, geomagnetic field signals, mobile phone base station signals and GNSS signals. Corresponding to the various electromagnetic signals, the user associated with the other acquisition device ID determined to have intersection with the specific user at the same time in the spatial position according to the correlation analysis result is taken as a suspected close contact person with the specific user, and specifically, the user meeting any one of the following conditions is taken as a suspected close contact person with the specific user:
a. and connecting the ID of the acquisition equipment associated with the specific user with the ID of other acquisition equipment associated with the same Wi-Fi AP in the same acquisition period.
b. And connecting the device ID associated with the specific user with other acquisition device IDs associated with the same Bluetooth beacon in the same acquisition period.
c. And analyzing the position information of the GNSS signals of all the users in the same acquisition period to obtain the users which are spatially associated with the IDs of other acquisition devices with position intersection with the specific user.
d. And in the same acquisition period, the correlation coefficient calculated by the electromagnetic induction sequence group acquired from the user and the electromagnetic induction sequence group acquired from the specific user according to a preset correlation coefficient calculation formula is larger than a preset value.
The preset correlation coefficient calculation formula may be any calculation formula of a correlation coefficient that is constructed by a person skilled in the art according to the characteristics of the acquired spatial electromagnetic sequence and meets the actual requirements, and specifically may be a correlation coefficient calculation formula in a modified Cosine (Adjusted-Cosine) form, a correlation coefficient calculation formula in a Pearson (Pearson) form, a correlation coefficient calculation formula in a jacarat (Jaccard) form, and a correlation coefficient calculation formula in a euclidean distance form, a manhattan distance form, a Spearsman form, and a Gamma form.
Here, the calculation method will not be described one by one, but only by taking the modified Cosine (Adjusted-Cosine) correlation coefficient as an example. The modified Cosine (Adjusted-Cosine) correlation coefficient can be obtained according to the following calculation formula:
and sim (i, j) is the correlation degree of the electromagnetic induction sequence between the acquisition equipment ID associated with the specific user i and the other user associated equipment IDs in the same acquisition period. U is a collection U (U) of electromagnetic induction sequences detected by the acquisition equipment ID associated with the specific user i and the acquisition equipment IDs associated with other users j in the same acquisition periodi∪Uj。Ru，iThe strength of the induction of the electromagnetic signal u acquired during this same acquisition period for the acquisition device ID associated to said particular user i,
is UiAnd (4) a statistical average value of the induction intensities corresponding to all the electromagnetic induction signals u. Ru，jThe sequence of the induction strengths of the electromagnetic signals U acquired during the time period for the acquisition device IDs associated with said other users j of the set U,
is UjAnd (4) a statistical average value of the induction intensities corresponding to all the electromagnetic induction signals u. Wherein the electromagnetic signal is Wi-Fi signal, Bluetooth beacon signal, geomagnetic field signal, mobile phone base station signalAny of the numbers.
Further, the method also comprises the step of randomly selecting a certain number of users related to the user/acquisition equipment ID of the district from the spatial electromagnetic sequence database as initial diagnosis cases, and inputting the initial diagnosis cases and the set minimum contact time and infection coefficients into the regional electromagnetic clustering model to simulate the virus/disease transmission condition of the district for decision reference.
In an experimental example, 20379 pieces of space electromagnetic signal data collected in one day of 9 months in one district of Shanghai city are selected for analysis. First, 20379 pieces of trace data are clustered (Clustering) to form 2161 nodes, and traces in each node have extremely high similarity on signals, so that all traces of each node can be considered to be in the same area (or the same scene). By collecting device ID and time stamp information associated with a particular user along the trace, it is possible to know which users are included in the node, i.e. which users have arrived in the area and when they entered and exited the area. Assuming that two users are in the area at the same time for more than a certain time (the time is adjustable as the minimum contact time parameter) and one of the two users has been diagnosed, there is a certain probability (the probability is adjustable as the infection coefficient parameter) that the confirmed user infects the virus to the normal user, and the normal user who is spread is the next generation of the confirmed user (for example, the direct infector of the second generation confirmed user will be the third generation confirmed user). It is assumed that the number of virus passages will not exceed 4 according to the disclosed virus properties.
From the 4699 users included in the 20379 trace data, the initial (first generation) "confirmed cases" users are randomly selected (the ratio of the randomly selected number to the total number of users is adjustable as the initial user rate parameter). These primary users are then placed in the model for "transmission," and the number of infected persons caused by the transmission of the virus and the location of those persons are observed during the day. The three parameters of the minimum contact time, the infection coefficient and the initial generation user rate are very important for the spreading condition of the virus. The minimum contact time is defined as: the minimum contact time required for cross-contamination between users to occur. The definition of the initial confirmed user rate is as follows: the first generation (first generation) confirmed users account for the ratio of all users. The infection factor refers to the possibility of infection occurring between users in the same area over a minimum contact time.
Fig. 3 is a graph showing the relationship between the number of newly confirmed cases and the minimum contact time after one day of propagation, wherein the infection factor is fixed to 0.8 (i.e., the contact infection probability is 80%), the initial user rate is fixed to 0.2, and 939 users are determined as initial confirmed case users in the experimental example, and the small circles on the graph are corresponding observation points. It can be seen that as the minimum exposure time is longer, the number of newly diagnosed cases tends to decrease. This also means that the longer the contact time required for cross-infection between users, the less likely the virus will be infected. The infection of the virus is random due to the influence of parameters such as infection coefficient, so that fluctuation can be seen on the graph, and the phenomenon belongs to a normal phenomenon.
Fig. 4 is a graph showing the relationship between the number of newly-added confirmed case users and the infection factor after one day of transmission, in which the minimum contact time is fixed to 5 minutes and the initial user rate is fixed to 0.2, i.e., 939 users are determined as initial confirmed case users in the experiment, and the small circles on the graph are corresponding observation points. As can be seen from fig. 4, the higher the infection probability is, the larger the number of newly added confirmed users is, and the number of newly added confirmed users is in direct proportion to the infection probability.
Fig. 5 is a graph showing the relationship between the number of cases finally confirmed and newly confirmed and the initial confirmed user rate in the experiment, in which the infection rate was set to 80% and the minimum contact time was set to 5 minutes, and the small circles on the graph are the corresponding observation points. As can be seen from the figure, as the number of the initial confirmed users increases, the number of the final infected confirmed users also increases, and the number of the new confirmed users increases first, then converges to a threshold value and finally decreases to 0 (when all the users are the initial confirmed users, there is no new user). As can be seen from the figure, when there are few primary users and the ability to infect new users is freely exerted, when the infection rate is 80% and the minimum contact time is 5 minutes, each primary confirmed user can generate 1 newly-added confirmed user per day on average.
Corresponding to the method, the invention also provides a remote server for discovering the close contacts of a specific user by utilizing the electromagnetic signals, and the remote server collects the electromagnetic records periodically collected by the portable collecting equipment of the user through the network communication equipment and stores the electromagnetic records into a preset spatial electromagnetic sequence database; the electromagnetic record comprises induction marks corresponding to each electromagnetic signal in the space where the user portable equipment is located, an electromagnetic induction sequence formed by the electromagnetic signal strength corresponding to each electromagnetic signal induction mark, an acquisition timestamp and the ID of acquisition equipment, wherein the induction marks are acquired by the user portable equipment; extracting all electromagnetic records corresponding to the ID of the specific user associated acquisition equipment which needs to perform track tracing and track tracing in a certain period of time from the spatial electromagnetic sequence database and all electromagnetic records corresponding to other acquisition equipment IDs in the database for correlation analysis so as to determine users associated with other acquisition equipment IDs which have intersection with the specific user at the spatial position at the same time as suspected close contacts of the specific user; wherein the acquisition device ID can uniquely identify a specific acquisition device, associated with a specific user.
The remote server performs the correlation analysis to determine that the specific implementation details of the user associated with the other capturing device IDs with which the specific user has intersection in spatial position at the same time as the suspected close contact person of the specific user correspond to the above method for finding the close contact person of the specific user by using the electromagnetic signal, that is, the remote server is configured to perform the above method for finding the close contact person of the specific user by using the electromagnetic signal.
In accordance with the above method, the present invention also provides a system for discovering an intimate contact of a specific user using an electromagnetic signal, the system comprising: a user portable device and the remote server provided by the present invention; the user portable equipment has a sensing function of space electromagnetic signals and is used for periodically acquiring induction identifications corresponding to the electromagnetic signals in the space where the user portable equipment is located and electromagnetic signal strength corresponding to the induction identifications of the electromagnetic signals, forming electromagnetic induction sequences of the space where the user portable equipment is located by the induction identifications and the strength corresponding to the electromagnetic signals, attaching timestamps to the electromagnetic induction sequences, and acquiring IDs of the equipment to form electromagnetic records and uploading the electromagnetic records to a remote server; wherein the acquisition device ID can uniquely identify a specific acquisition device, associated with a specific user.
Accordingly, the present invention also provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the above-described method of discovering an intimate contacter of a particular user using electromagnetic signals.
The technical scheme provided by the invention can more finely and completely trace the track of a specific user (confirmed case), accurately distinguish/identify the close contacts of the specific user, and can play a good role in the prevention and control of epidemic situations or other infectious diseases.
Claims (12)
1. A method for discovering an intimate contact of a particular user using electromagnetic signals, the method comprising: the method comprises the steps that equipment which can be carried by a user and supports the sensing function of space electromagnetic signals is used for periodically collecting induction marks corresponding to the electromagnetic signals in the space where the equipment is located and the electromagnetic signal strength corresponding to the induction marks of the electromagnetic signals, the induction marks and the corresponding strength of the electromagnetic signals form an electromagnetic induction sequence in the space where the equipment is located, and the electromagnetic sequence is added with a timestamp and the ID of the equipment to form an electromagnetic record and store the electromagnetic record in a preset space electromagnetic sequence database; extracting all spatial electromagnetic sequences corresponding to the associated acquisition equipment IDs of the specific users needing trajectory tracing and trajectory tracking within a certain period of time and all spatial electromagnetic sequences corresponding to other acquisition equipment IDs in the database from the spatial electromagnetic sequence database according to the acquired electromagnetic record timestamps for correlation analysis; obtaining users associated with other collection device IDs which have intersection with the specific user in the spatial position at the same time according to the result of the correlation analysis as suspected close contacts of the specific user in the time period; wherein the acquisition device ID can uniquely identify a specific acquisition device, associated with a specific user.
2. The method of claim 1, wherein the electromagnetic signal is any one of a Wi-Fi signal, a bluetooth beacon signal, a geomagnetic field signal, a cell phone base station signal, a GNSS signal; the spatial electromagnetic sequence database is arranged on a remote server.
3. The method of claim 2, wherein the software on the acquisition device executes autonomously or the remote server issues a command to trigger the acquisition device to periodically acquire the induction mark corresponding to each electromagnetic signal in the space where the acquisition device is located, and the electromagnetic signal strength corresponding to each electromagnetic signal induction mark; the period of the acquisition equipment for acquiring the electromagnetic signals is set and adjusted by the remote server.
4. The method according to claim 3, wherein the determination of the users associated with the other capturing device IDs with which the specific user has an intersection in spatial position at the same time as the suspected close contacts with the specific user is performed according to the correlation analysis result, and is specifically implemented by determining the users associated with the other capturing device IDs satisfying any one of the following conditions as the suspected close contacts with the specific user:
a. connecting the device ID associated with the specific user with other acquisition device IDs associated with the same Wi-Fi AP in the same acquisition period;
b. connecting the device ID associated with the specific user with the users associated with other acquisition device IDs of the same Bluetooth beacon in the same acquisition period;
c. and analyzing the position information of the GNSS signals of all the users in the same acquisition period to obtain the users which are spatially associated with the IDs of other acquisition devices with position intersection with the specific user.
d. And in the same acquisition period, the correlation coefficient calculated by the electromagnetic induction sequence group acquired from the user and the electromagnetic induction sequence group acquired from the specific user according to a preset correlation coefficient calculation formula is larger than a preset value.
5. The method of claim 4, wherein the identifying the user associated with the other acquisition device IDs that satisfy the any condition as suspected close contacts with the particular user comprises: and counting the accumulated time length of intersection of the users associated with the other collecting equipment IDs meeting any condition and the specific user in space, and taking the users associated with the corresponding other collecting equipment IDs as suspected close contacts of the specific user when the accumulated time length exceeds the preset minimum contact time.
6. The remote server is characterized in that the remote server collects electromagnetic records periodically collected by a user portable collecting device through a network communication device and stores the electromagnetic records into a preset spatial electromagnetic sequence database; the electromagnetic record comprises induction marks corresponding to each electromagnetic signal in the space where the user portable equipment is located, an electromagnetic induction sequence formed by the electromagnetic signal strength corresponding to each electromagnetic signal induction mark, an acquisition timestamp and the ID of acquisition equipment, wherein the induction marks are acquired by the user portable equipment; extracting all electromagnetic records corresponding to the ID of the specific user associated acquisition equipment which needs to perform track tracing and track tracing in a certain period of time from the spatial electromagnetic sequence database and all electromagnetic records corresponding to other acquisition equipment IDs in the database for correlation analysis so as to determine users associated with other acquisition equipment IDs which have intersection with the specific user at the spatial position at the same time as suspected close contacts of the specific user; wherein the acquisition device ID can uniquely identify a specific acquisition device, associated with a specific user.
7. The system of claim 6, wherein the remote server is further configured to set or adjust a period during which the user-portable device collects electromagnetic signals; the user portable equipment periodically collects induction marks corresponding to electromagnetic signals in the space where the user portable equipment is located, and the electromagnetic signal strength corresponding to the induction marks of the electromagnetic signals is automatically executed by built-in software on the user portable equipment or is triggered to be executed by the remote server through an instruction sent by the remote server.
8. The remote server according to claim 7, characterized by: the electromagnetic signal is any one of Wi-Fi signal, Bluetooth beacon signal, geomagnetic field signal, mobile phone base station signal and GNSS signal.
9. The remote server of claim 8, wherein the remote server performs a correlation analysis to determine users associated with other capture device IDs that intersect the particular user at spatial locations at the same time as suspected contactees of the particular user, in particular to determine users associated with other capture device IDs that satisfy any of the following conditions as suspected contactees of the particular user:
a. connecting the device ID associated with the specific user with other acquisition device IDs associated with the same Wi-Fi AP in the same acquisition period;
b. connecting the device ID associated with the specific user with the users associated with other acquisition device IDs of the same Bluetooth beacon in the same acquisition period;
c. and analyzing the position information of the GNSS signals of all the users in the same acquisition period to obtain the users which are spatially associated with the IDs of other acquisition devices with position intersection with the specific user.
d. And in the same acquisition period, the correlation coefficient calculated by the electromagnetic induction sequence group acquired from the user and the electromagnetic induction sequence group acquired from the specific user according to a preset correlation coefficient calculation formula is greater than a preset value.
10. The remote server of claim 9, wherein the remote server performs a correlation analysis to derive users associated with other capture device IDs that the particular user has an intersection in spatial location at the same time as suspected close contacts of the particular user, further comprising: and counting the accumulated time length of intersection of the users associated with the other collecting equipment IDs meeting any condition and the specific user in space, and taking the users associated with the corresponding other collecting equipment IDs as suspected close contacts of the specific user when the accumulated time length exceeds the preset minimum contact time.
11. A system for discovering the close contacts of a specific user by means of electromagnetic signals, characterized in that the system comprises a user portable device and a remote server according to any of claims 6-10; the user portable equipment has a space electromagnetic signal sensing function and is used for periodically acquiring induction identifications corresponding to electromagnetic signals in a space where the user portable equipment is located and electromagnetic signal strength corresponding to the electromagnetic signal induction identifications, forming electromagnetic induction sequences of the space where the user portable equipment is located by the induction identifications of the electromagnetic signals and the corresponding strength, attaching timestamps to the electromagnetic induction sequences, and acquiring ID of the user portable equipment to form electromagnetic records and uploading the electromagnetic records to the remote server.
12. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor of a computer, implements the method according to any one of claims 1-5.
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