System and method for screening spatiotemporal companions of healthy red code passengers based on user trajectory

Abstract

The application discloses a system and method for screening space-time companions of healthy red code passengers based on user trajectories, and belongs to the technical field of rail transit. The system is composed of a face image acquisition module, a local database module, a core switch and a trajectory analysis module. The system can realize the collection of passenger face images in the non-payment area of the station, and on this basis, the identification of healthy red code passengers in the non-payment area. According to the walking trajectory, the identification and screening of the corresponding space-time companions are completed. The system has a simple system architecture and convenient use method. The system can collect face images of passengers in the non-payment area, and on this basis, the coarse screening and fine screening of the health code data of the passengers in the non-payment area are completed. The system can quickly screen healthy red code passengers and their space-time companions, provide sufficient guarantee for the implementation of epidemic prevention and control measures, ensure the safety of rail transit operation, and has good practical value and application prospect.

Description

Technical Field

[0001] This invention belongs to the field of rail transit technology, specifically relating to a system and method for screening the spatiotemporal companions of passengers with red health codes based on user trajectories. Background Technology

[0002] In recent years, using a health code to travel has become a basic requirement for daily travel in many cities. Meanwhile, for residents of large and medium-sized cities, urban rail transit is often one of the main modes of public transportation.

[0003] Under the current situation of epidemic prevention and control in urban rail transit, passengers traveling through urban rail transit during the epidemic prevention and control period need to undergo epidemic prevention testing, and emergency management and control measures need to be taken for passengers with red health codes (i.e., red health codes) and their close contacts (i.e., close contacts).

[0004] Currently, the screening of passengers with red health codes can often only be done during the epidemic prevention inspection process. Passengers who enter the non-paid area of ​​the station but do not pass the inspection will not be screened even if their health code is red. This makes it impossible to screen and manage passengers with red health codes and their companions in a timely and accurate manner, resulting in the inability of epidemic prevention and control to fully meet the actual needs. Summary of the Invention

[0005] In response to one or more of the above-mentioned defects or improvement needs of the existing technology, the present invention provides a system and method for screening the spatiotemporal companions of passengers with red health codes based on user trajectory. This system can screen passengers with red health codes in the non-paid areas of the station and quickly identify the identities of the spatiotemporal companions of passengers with red health codes, thereby ensuring the efficiency and safety of urban rail transit operations.

[0006] To achieve the above objectives, one aspect of the present invention provides a system for screening the spatiotemporal companions of passengers with red health codes based on user trajectories, comprising:

[0007] A face image acquisition module, which includes at least one face recognition camera for acquiring face images of passengers in the paid area;

[0008] The core switch communicates with each module in the system, the face recognition big data center, and the health code big data center, respectively, and is used for the transmission of information within the system and the interaction of information between the system and the outside world.

[0009] The trajectory analysis module, which is communicatively connected to the core switch, is used to analyze the walking trajectory of passengers with red health codes.

[0010] The local database module includes a face processing server and a temporary data storage server, both of which are communicatively connected to the core switch; and

[0011] The face processing server is used to receive and process the face images acquired from the face image acquisition module, and compare them with the certified face images in the face big data center to obtain the compared face data and the corresponding health code data; the temporary data storage server is used to receive the face data and health code data obtained by the face processing server to form a local temporary face database and a local temporary health code database; and

[0012] The temporary data storage server can also determine whether there is a red health code based on the data in the local temporary health code database, and work with the face processing server to identify passengers with red health codes and screen their corresponding spatiotemporal companions.

[0013] As a further improvement of the present invention, a passenger positioning module is also included, which is communicatively connected to the core switch and is used to locate the passenger's position within the station after the identity of the passenger with the red health code and the time-space companion are confirmed.

[0014] As a further improvement of the present invention, the passenger positioning module is communicatively connected to the operator's mobile phone positioning system, and can locate the location of the corresponding passenger through the operator's mobile phone positioning system;

[0015] and / or

[0016] The passenger positioning module is communicatively connected to the station positioning module installed in the station, and the station positioning module locates the corresponding passenger's position via WiFi or Bluetooth.

[0017] As a further improvement of the present invention, the face image acquisition module also includes a video surveillance switch and a video surveillance server;

[0018] The video surveillance server is communicatively connected to the video surveillance switch and is used to receive facial images captured by the facial recognition camera through the video surveillance switch and to preprocess the captured facial images.

[0019] The video surveillance switch is communicatively connected to the core switch and is used to transmit the preprocessed captured face images to the local database module.

[0020] As a further improvement of the present invention, a trajectory information server is provided corresponding to the trajectory analysis module. The server can obtain the collected face images from the local temporary face data through the core switch, and determine the passenger's walking trajectory in the non-paid area based on the shooting time of each collected face image.

[0021] Another aspect of the present invention provides a method for screening the spatiotemporal companions of passengers with red health codes based on user trajectories, comprising the following steps:

[0022] (1) Collect passenger face images in the non-paid area of ​​the station and compare them with the certified face images in the face big data center to obtain the 1:N face data after comparison, and establish a local temporary face database for the corresponding passenger.

[0023] (2) Obtain the corresponding health code data from the health code big data center based on the certified face image obtained from the local temporary face database, and establish a local temporary health code database corresponding to the local temporary face database;

[0024] (3) Determine whether a red health code exists in the local temporary health code database; if so, perform fine processing on the collected face images in the local temporary face database to achieve a 1:1 fine screening comparison between the collected face images and the certified face images to determine the passenger's accurate identity.

[0025] (4) Determine whether the red health code belongs to a passenger with a confirmed identity; if so, activate the emergency control plan and determine the passenger's movement trajectory within the station;

[0026] (5) Based on the walking trajectory and walking time information, the images collected in the trajectory area are processed to mark the passengers with red health codes and their spatiotemporal companions who have close spatiotemporal relationships with them;

[0027] (6) Retrieve the corresponding local temporary face database based on the spatiotemporal companions marked in the trajectory area, and perform fine processing on the collected face images in each local temporary face database to achieve a 1:1 accurate comparison and determine the accurate identity of each spatiotemporal companion.

[0028] As a further improvement to the present invention, the following steps are also included:

[0029] (7) Based on the identity of the passengers with red health codes and their companions, locate their positions and take corresponding emergency control measures.

[0030] As a further improvement of the present invention, the location of passengers with red health codes and / or their time-space companions is located through the operator's mobile phone positioning system and / or the station positioning module installed in the station.

[0031] As a further improvement of the present invention, in step (4), the process of determining the passenger's walking trajectory within the station is as follows:

[0032] The system retrieves the local temporary facial database corresponding to the passenger, determines the trajectory area based on the device that captured the facial images, and determines the passenger's walking trajectory within the station based on the order in which the facial images were captured.

[0033] The aforementioned improved technical features can be combined with each other as long as they do not conflict with each other.

[0034] In summary, the beneficial effects of the above-described technical solutions conceived by this invention compared with the prior art include:

[0035] (1) The system of the present invention for screening the spatial and temporal companions of passengers with red health codes based on user trajectory, through the combination of a face image acquisition module, a local database module, a core switch and a trajectory analysis module, can realize the acquisition of face images of passengers in the non-paid area of ​​the station, and on this basis, realize the identification of passengers with red health codes in the non-paid area, and complete the identification and screening of corresponding spatial and temporal companions according to their walking trajectory, thereby improving the efficiency and accuracy of epidemic prevention and control in rail transit stations, improving the safety of rail transit operation, reducing the epidemic prevention and inspection pressure in the inspection and entry area, and indirectly improving the passenger passage efficiency and service experience.

[0036] (2) The system of the present invention for screening the time and space companions of passengers with red health codes based on user trajectory ensures the accuracy and reliability of data transmission through the corresponding settings of servers in each module, realizes the rapid transmission and interaction of data, and ensures the accuracy of screening and locating passengers with red health codes.

[0037] (3) The method of screening the spatiotemporal companions of passengers with red health codes based on user trajectory of the present invention collects the facial images of passengers in the non-paid area of ​​the station, compares them with the certified facial images in the facial big data center, establishes a local temporary facial database and a corresponding local temporary health code database, judges the health code data in the local temporary health code database, identifies whether the passengers in the non-paid area are passengers with red health codes, determines their trajectory on this basis, and screens out the corresponding spatiotemporal companions, so as to quickly and accurately complete the epidemic prevention verification of passengers in the non-paid area of ​​the rail transit station, ensure the safety of rail transit station operation, and meet the control needs of normalized epidemic prevention.

[0038] (4) The system and method of the present invention for screening the spatiotemporal companions of passengers with red health codes based on user trajectory not only ensures the accuracy of screening passengers with red health codes by performing coarse and fine screening on the collected face images in the local temporary face database, but also improves the efficiency of data screening, saves the computing power of the system, and fully ensures the efficiency and reliability of the system operation.

[0039] (5) The system for screening the space-time companions of passengers with red health codes based on user trajectory of the present invention has a simple system architecture and convenient setup and usage. It can collect facial images of passengers in the non-paid area of ​​the station and, on this basis, complete the coarse and fine screening of health code data of passengers in the non-paid area, accurately complete the rapid identification of passengers with red health codes and their space-time companions, provide sufficient guarantee for the implementation of epidemic prevention and control measures, ensure the safety of rail transit operation, and has good practical value and application prospects. Attached Figure Description

[0040] Figure 1 This is a system architecture diagram of screening the spatiotemporal companions of passengers with red health codes based on user trajectories in an embodiment of the present invention;

[0041] Figure 2 This is a flowchart of the method for screening the spatiotemporal companions of passengers with red health codes based on user trajectories in an embodiment of the present invention;

[0042] In all the accompanying drawings, the same reference numerals denote the same technical features, specifically:

[0043] 1. Face image acquisition module; 2. Passenger positioning module; 3. Local database module; 4. Core switch; 5. Communication cables; 6. Trajectory analysis module;

[0044] 101. Facial recognition camera; 102. Video surveillance switch; 103. Video surveillance server;

[0045] 201. Mobile phone positioning system of telecom operators; 202. In-station positioning module;

[0046] 301. Face processing server; 302. Temporary data storage server; 601. Track information server. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0048] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0049] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0050] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0051] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0052] Example:

[0053] Please see Figure 1 The system for screening the spatiotemporal companions of passengers with red health codes based on user trajectories in a preferred embodiment of the present invention includes a core switch 4 and a face image acquisition module 1, a passenger positioning module 2, and a local database module 3, all communicatively connected to the core switch 4. Simultaneously, the core switch 4 is also communicatively connected to the health code big data center and the face big data center, and can retrieve corresponding user authorization information from the two data centers, namely, the authenticated face image data of the authenticated user and the corresponding health code data.

[0054] Specifically, the face image acquisition module 1 is used to acquire face images of passengers in the non-paid area of ​​the station, so that even if passengers in the non-paid area do not enter the station without inspection, their information can still be acquired by the face image acquisition module 1 and their health code status can be identified. In a preferred embodiment, the face image acquisition module 1 includes a face recognition camera 101, a video surveillance switch 102, and a video surveillance server 103; wherein, the face recognition camera 101 and the video surveillance server 103 are respectively communicatively connected to the video surveillance switch 102, and the video surveillance switch 102 is communicatively connected to the core switch 4, so that the data acquired by the face image acquisition module 1 can be transmitted to the core switch 4 via the video surveillance switch 102.

[0055] In actual setup, multiple face recognition cameras 101 are installed in the non-paid area of ​​the station, and these cameras are typically arranged at intervals along the entrance passage. Preferably, no fewer than 10 face recognition cameras 101 are installed in the entrance passage, which is 20-50m long, to collect multiple sets of facial data from people passing through the entrance passage (including people waiting to board the train, pedestrians, station staff, etc.).

[0056] Meanwhile, in the preferred embodiment, the video surveillance switch 102 is preferably located indoors, where it is used to complete the interaction of video image information. Specifically, the video surveillance switch 102 is mainly used to transmit the facial video images captured by the face recognition camera 101 to the video surveillance server 103, and to transmit the facial information feature points obtained by the video surveillance server 103 after recognition and processing to the back-end switch, i.e., the core switch 4. In actual operation, the video surveillance server 103 is used to perform preliminary screening of the data collected by (multiple) face recognition cameras 101. By performing preliminary recognition of facial feature points on the facial image information, it completes the screening and packaging process of image data belonging to the same person.

[0057] In a preferred embodiment, the core switch 4 is located in the communication equipment room of the station, mainly used to complete information exchange between the internal and external systems. Specifically, the functions of the core switch 4 include at least the following: receiving facial image data collected by the facial image acquisition module 1 and transmitting it to the local database module 3; exchanging information with the health code big data center and the facial big data center; and transmitting passenger information from the local database module 3 to the trajectory analysis module 6 and determining the passenger trajectory.

[0058] Meanwhile, in the preferred embodiment, the local database module 3 includes a face processing server 301 and a temporary data storage server 302, both of which are communicatively connected to the core switch 4. The face processing server 301 is preferably located indoors within the communication equipment room and is used to receive face image data from the core switch 4 and compare it with face data in the face big data center to complete the screening and determination of passenger information.

[0059] Accordingly, the core switch 4 can transmit the local temporary data, initially determined by the face processing server 301, to the temporary data storage server 302, thereby establishing a local temporary database. This local temporary database contains multiple compressed data packages. Each package includes a captured face image processed by the video surveillance server 103 and the face processing server 301, and a verified face image from the face big data center, confirmed through comparison. Simultaneously, after comparing the captured face image with the verified face image in the face big data center, the core switch 4 retrieves the confirmed person's health code data from the health code big data center and saves this health code data to the corresponding compressed data package.

[0060] More specifically, the temporary data storage server 302 is preferably located indoors near the communication equipment room, and is used to store temporary facial data after preliminary comparison and the corresponding personnel's health code data. Furthermore, the actual process of collecting and authenticating facial images preferably includes both a coarse screening process and a fine screening process.

[0061] In the initial screening process, the collected facial images are compared with the certified faces in the facial big data center to establish a correspondence between the collected facial images and several certified facial images. However, due to environmental factors (lighting, distance), human factors (the subject looking down, angled), and equipment factors (camera pixels, working angle), the core features of the collected facial images may not be particularly obvious. This is one reason why 1:N comparisons are easily formed during the initial screening process, where N is an integer not less than 1.

[0062] Through preliminary processing and comparison of the collected facial images by the face processing server 301, 1:N face data and corresponding health code data can be obtained. Accordingly, the face processing server 301 packages the aforementioned 1:N data corresponding to each individual and transmits it to the temporary database storage server 302, forming a local temporary database for each individual within the station. This local temporary database mainly contains the collected facial images of passengers in the non-paid area of ​​the station, N authenticated facial images obtained from the preliminary comparison of the collected facial images, and the health code data corresponding to each authenticated facial image.

[0063] Furthermore, by identifying and judging the health code data in the local temporary database, if all of them are green health codes, the local temporary database is stored in the temporary data storage server 302; if the health code data contains at least one red health code, the process of collecting and screening facial images begins.

[0064] Specifically, after the red health code data is identified, the face processing server 301 performs fine processing on the collected face images in the local temporary database to identify more facial feature points in the collected face images. Then, the processed collected face images are compared precisely 1:1 with the certified face images in the local temporary database to determine the passenger's specific identity and whether they are the holder of the red health code. If not, the confirmed identity data is saved in the local temporary database. If yes, the emergency control plan is activated and the collected face image data in the local temporary database is transmitted to the trajectory analysis module 6, whereby the trajectory analysis module 6 determines the passenger's trajectory in the non-paid area of ​​the station.

[0065] In a preferred embodiment, the trajectory analysis module 6 is located in the communication equipment room and is connected to the core switch 4. It can obtain the local temporary database in the temporary data storage server 302 through the core switch 4 and extract the collected face images from it. By analyzing the time of the captured face images, the passenger's walking trajectory in the station is determined. Accordingly, the local temporary database and the determined walking trajectory are packaged and stored in the trajectory information server 601.

[0066] More specifically, based on the trajectory information of passengers with red health codes and the time information of their trajectories, the trajectory area image of the trajectory occurrence area is retrieved from the video surveillance server 103. The face processing server 301 processes the trajectory area image and marks the passengers with red health codes within it, and filters out passenger images that have a close spatiotemporal relationship with the passengers with red health codes, i.e., the spatiotemporal companions of the passengers with red health codes. Accordingly, based on the filtered passenger images, the corresponding local temporary database is retrieved from the temporary data storage server 302, and the collected face images in it are precisely compared 1:1 to determine the identity of the spatiotemporal companions, thus completing the screening of the spatiotemporal companions of the passengers with red health codes.

[0067] Furthermore, in the preferred embodiment, a passenger positioning module 2 is also provided to locate the station location of passengers with red health codes and their accompanying persons, facilitating epidemic prevention and control personnel to quickly determine the station location of passengers with red health codes and their accompanying persons. In actual setup, the passenger positioning module 2 in the preferred embodiment is communicatively connected to the trajectory analysis module 6, which preferably includes an operator's mobile phone positioning system 201 and a station positioning module 202.

[0068] More specifically, the operator's mobile phone positioning system 201 preferably employs LTE microcell triangulation technology. It collects the uplink signal strength of the passenger's mobile phone at the network layer and reports it to the platform layer Service Anchor. The triangulation algorithm then calculates the passenger's location coordinates. Alternatively, the platform layer Service Anchor reports the passenger's coordinates as input to the fusion positioning system, which processes the data and outputs the final passenger location coordinates. Simultaneously, the station-based positioning module 202 preferably uses WiFi or Bluetooth positioning to collect the passenger's mobile phone location information, thus determining the passenger's location within the station. Alternatively, the station-based positioning module 202 establishes communication with the face image acquisition module 1, using video surveillance from the face recognition camera 101 to determine the passenger's location within the station.

[0069] Preferably, when the station positioning module 202 fails to determine the location of the passenger with the red health code and / or their spatiotemporal companion, or when the operator's mobile phone positioning system 201 determines that the passenger has left the station, the corresponding passenger is preferably notified to undergo nearby epidemic prevention and control measures by sending a notification SMS or making a direct phone call through the mobile phone operator.

[0070] To ensure the reliability of the temporary data storage server 302, its internal data is preferably automatically cleaned up after the station closes each day. This ensures the normal operation of the temporary data storage server 302 while avoiding the long-term accumulation of local temporary data. Furthermore, the local temporary database in the preferred embodiment can be used not only for screening individuals with health codes in the space-time continuation of their status, but also for accurately comparing facial images collected during passenger entry and exit. This avoids the complex comparison between the accurately collected facial images and those in the facial big data center, shortening the time for facial comparison and health code verification, and improving the passenger service experience. However, this is not the focus of this application and will not be elaborated upon here.

[0071] In addition to the aforementioned components, the system in the preferred embodiment also includes a corresponding communication protocol and such as Figure 1 The communication cable 5 shown can be used to establish communication connections between the various components, meeting the information exchange needs between them and ensuring the effective transmission of data and control flows. However, it is understood that in addition to the wired connection method described above, the communication connections between the components can also be wireless connections, which will not be elaborated upon here.

[0072] For the system in the preferred embodiment that filters the spatiotemporal companions of passengers with red health codes based on user trajectories, its actual operation preferably includes the following steps:

[0073] (1) The face image acquisition module 1 acquires the face images of passengers in the non-paid area of ​​the station, and the video surveillance switch 102 transmits the acquired face images to the video surveillance server 103 for preliminary processing.

[0074] (2) The video surveillance server 103 identifies and processes the collected face images, summarizes and packages the face images of the corresponding passengers, and transmits the packaged face images to the face processing server 301 via the video surveillance switch 102 and the core switch 4.

[0075] (3) The face processing server 301 identifies the face feature points of the received face images and compares them with the certified face images in the face big data center through the core switch 4 to obtain the 1:N face data after comparison, where N is an integer not less than 1; accordingly, the health code information of the above N people is obtained from the health code big data center through the core switch 4 to obtain the health code data corresponding to the 1:N face data, thus completing the coarse screening process of the collected face images;

[0076] (4) The face processing server 301 transmits the obtained 1:N face data and 1:N health code data to the temporary data storage server 302 through the core switch 4, and establishes the local temporary face database and local temporary health code database of the passenger here.

[0077] (5) Identify the health code status in the local temporary health code database; if there is a red health code in the local temporary health code database, the face processing server 301 will perform fine processing on the collected face images in the local temporary face database, perform a 1:1 accurate comparison of the faces, complete the fine screening process of the collected face images, and determine whether the actual health code is red based on verifying the real identity of the collected face images.

[0078] (6) If the health code of the passenger corresponding to the collected face image is not red, the data after identity verification will continue to be stored in the temporary data storage server; if the health code of the passenger corresponding to the collected face image is red, the emergency control plan will be activated and the data in the local temporary database will be transmitted to the trajectory analysis module 6.

[0079] (7) The trajectory information server 601 determines the passenger’s walking trajectory and walking time information in the non-paid area of ​​the station based on the collected face images in the local temporary database, and the face processing server 301 processes the images in the trajectory area based on the walking trajectory and time information to mark passengers with red health codes and passengers with close spatiotemporal contact with them.

[0080] (8) According to the marker, the local temporary database corresponding to the spatiotemporal companion in the temporary data storage server 302 is retrieved. The face processing server 301 processes the collected face images in each local temporary database to complete the 1:1 accurate comparison and determine the identity of each spatiotemporal companion.

[0081] (9) The passenger positioning module 2 is used to locate the passengers (passengers with red health codes and time-space companions) after their identities are identified, so that epidemic prevention and control personnel can quickly determine their location and take corresponding epidemic prevention and control measures.

[0082] The system for screening the spatial and temporal companions of passengers with red health codes based on user trajectories in this invention has a simple system architecture and is easy to set up and use. It can collect facial images of passengers in non-paid areas of the station and, based on this, perform coarse and fine screening of health code data of passengers in non-paid areas. It can accurately and quickly identify passengers with red health codes and their spatial and temporal companions, providing sufficient guarantee for the implementation of epidemic prevention and control measures, ensuring the safety of rail transit operations, and has good practical value and application prospects.

[0083] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A system for screening spatiotemporal companions of healthy red code passengers based on user trajectories, for screening healthy red code passengers in the non-payment area of a rail transit station, characterized in that, The application relates to a health red code passenger screening system for a railway station, which comprises the following modules: a face image acquisition module, which comprises a plurality of face recognition cameras arranged in a non-toll area of the station, and is used for acquiring face images of passengers in the non-toll area; a core switch, which is respectively connected with each module in the system, a face big data center and a health code big data center, and is used for transmitting internal information of the system and interacting information inside and outside the system; a track analysis module, which is connected with the core switch, and is used for analyzing a walking track of a health red code passenger; a local database module, which comprises a face processing server and a temporary data storage server, and is connected with the core switch; the face image acquisition module further comprises a video monitoring switch and a video monitoring server; the video monitoring server is connected with the video monitoring switch, is used for receiving face images acquired by the face recognition cameras through the video monitoring switch, and is used for pre-processing the acquired face images; the video monitoring switch is connected with the core switch, is used for transmitting the pre-processed acquired face images to the local database module; and the face processing server is used for receiving and processing the acquired face images from the face image acquisition module, and is used for comparing the acquired face images with authentication face images in the face big data center, so as to obtain 1:N face data after comparison and 1:N health code data corresponding to the face data, wherein N is an integer not less than 1; the temporary data storage server is used for receiving the face data and the health code data obtained by the face processing server, and is used for forming a local temporary face database and a local temporary health code database; in the local temporary database, the acquired face images of passengers in the non-toll area of the station, N authentication face images obtained by preliminary comparison of the acquired face images, and health code data corresponding to each authentication face image are contained; and the temporary data storage server can further judge whether there is a health red code according to the data in the local temporary health code database, and can complete determination of a health red code passenger and screening of a corresponding space-time companion in cooperation with the face processing server; a passenger positioning module, which is connected with the core switch, is used for positioning a position of a health red code passenger and a space-time companion in the station after the identities of the health red code passenger and the space-time companion are confirmed; authentication face images obtained from the local temporary face database are used for obtaining corresponding health code data from the health code big data center, and a local temporary health code database corresponding to the local temporary face database is established; determine the accurate identity of the passenger; determine whether the health red code belongs to the passenger with the determined identity; if yes, start the emergency control scheme and determine the walking track of the passenger in the station; process the images collected in the track area according to the walking track and the walking time information, and mark the health red code passenger and the spatiotemporal companion with the spatiotemporal close relationship; according to the spatiotemporal companion marked in the track area, call the corresponding local temporary face database, and perform fine processing on the collected face images in each local temporary face database to realize 1:1 accurate comparison and determine the accurate identity of each spatiotemporal companion; through the coarse screening and fine screening processing of the collected face images in the local temporary face database, the accuracy of the health red code passenger screening is ensured, and the efficiency of the data screening is improved; The passenger positioning module is in communication connection with the operator mobile phone positioning system, and can position the position of the corresponding passenger through the operator mobile phone positioning system; and / or, the passenger positioning module is in communication connection with the station positioning module arranged in the station, and the station positioning module positions the position of the corresponding passenger through WiFi or Bluetooth. 2.The system for screening spatiotemporal companions of healthy red-code passengers based on user trajectories according to claim 1, wherein, A track information server is arranged corresponding to the track analysis module, which can obtain the collected face images in the local temporary face data through the core switch, and determine the walking track of the passenger in the non-payment area according to the shooting time of each collected face image.

3. A method for screening space-time companions of health red code passengers based on user trajectories, for screening health red code passengers in the non-payment area of the rail transit station, characterized in that, The method comprises the following steps: (1) collecting the face images of the passengers in the non-payment area of the station, and performing coarse screening comparison between the face images and the authentication face images in the face big data center to obtain the compared 1:N face data, and establishing the local temporary face database of the corresponding passenger based on the face data; (2) obtaining the corresponding health code data from the health code big data center according to the authentication face images obtained from the local temporary face database, and establishing the local temporary health code database corresponding to the local temporary face database; (3) determining whether there is a health red code in the local temporary health code database; if yes, performing fine processing on the collected face images in the local temporary face database to realize 1:1 fine screening comparison between the collected face images and the authentication face images, and determining the accurate identity of the passenger; (4) determining whether the health red code belongs to the passenger with the determined identity; if yes, starting the emergency control scheme and determining the walking track of the passenger in the station; the process of determining the walking track of the passenger in the station is as follows: calling the local temporary face database corresponding to the passenger, determining the track area according to the equipment of the collected face images, and determining the walking track of the passenger in the station according to the shooting time of the collected face images; (5) processing the images collected in the track area according to the walking track and the walking time information, and marking the health red code passenger and the spatiotemporal companion with the spatiotemporal close relationship; (6) According to the marked space-time companions in the track area, the corresponding local temporary face database is called, and the collected face images in each local temporary face database are finely processed to realize 1:1 accurate comparison and determine the accurate identity of each space-time companion.

4. The method for screening spatiotemporal companions of healthy red-code passengers based on user trajectories according to claim 3, characterized in that, It also includes the steps of: (7) According to the determined identities of the healthy red code passengers and the space-time companions, the positions of the passengers and the space-time companions are located, and corresponding emergency control measures are taken.

5. The method for screening spatiotemporal companions of healthy red-code passengers based on user trajectories according to claim 4, characterized in that, The location of the position of the healthy red code passenger and / or the space-time companion is realized by the operator mobile phone positioning system and / or the station positioning module arranged in the station.

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