Wire mesh information processing method and device based on real-time state perception image

Abstract

The present application provides a method and device for processing rail network information based on real-time state perception images, relating to the field of information processing technology. The method comprises: determining an initial rail network image under normal conditions for all rail transit network information; the initial rail network image represents the attributes, state, and location of rail transit network equipment; and performing pixel-level updates on the initial rail network image based on the real-time state of the rail transit network to obtain a real-time rail network image. The method and device for processing rail network information based on real-time state perception images provided by the present application can provide a real-time and intuitive description of rail transit network information that is difficult to obtain.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to a wire mesh information processing method and device based on real-time state perception images. Background Art

[0002] In the field of urban rail transit, the amount of network data is very large, and the situations of multiple lines are complex. The maintenance of capacity in each link of the network is an important consideration, such as transfer stations for multiple lines, waiting crowds in the main passenger flow directions during peak hours, etc. The network command system needs to obtain all information and inform the network dispatchers or linkage processing units in a simple and intuitive way.

[0003] If we use the traditional information description method, the efficiency is relatively low and not intuitive. In particular, the relevant data is not directly good or bad. Sometimes it is accompanied by changes in various values, and certain numerical distributions are abnormal situations. In particular, the combination of multiple states is very difficult to write control programs or add configuration files in the traditional way. It is difficult to debug. Even if the program is normal, it has too many links and a large delay, which is difficult to meet the needs. Summary of the Invention

[0004] The present application provides a line network information processing method and device based on real-time status perception images, which is used to solve the defect in the existing technology that it is difficult to describe rail transit line network information in real time and intuitively.

[0005] In a first aspect, the present application provides a method for processing rail network information based on real-time state perception images, comprising: determining an initial rail network image under normal conditions for all rail transit network information; the initial network image represents the attributes, status, and location of rail transit network equipment;

[0006] Based on the real-time status of the rail transit network, the initial network image is updated at the pixel level to obtain a real-time network image.

[0007] Optionally, performing pixel-level updating on the initial line network image based on the real-time status of the rail transit line network to obtain a real-time line network image includes:

[0008] The initial line network image is updated based on the real-time status of the rail transit line network to obtain a target line network image;

[0009] Performing graphic calculation on the target network image and its corresponding logic template to obtain a logic result;

[0010] Based on the logic result, determining the color of each pixel of the line screen image;

[0011] The real-time line screen image is determined based on the color of each pixel of the line screen image.

[0012] Optionally, the logic template represents normal state thresholds of different rail transit network equipment.

[0013] Optionally, determining an initial rail transit network image when all rail transit network information is normal includes:

[0014] Determine the pixel information of the line mesh image;

[0015] Based on the pixel information of the line network image, the initial line network image under the condition that all rail transit line network information is normal is determined.

[0016] Optionally, the pixel information of the line network image includes the attributes, initial state and position information of the rail transit line network equipment;

[0017] The determining, based on pixel information of the line network image, the initial line network image when all rail transit line network information is normal includes:

[0018] The initial network image is determined based on the attributes, initial states, and location information of the rail transit network equipment, as well as the topological relationship of the network. Optionally, the initial network image includes multiple square matrices; each square matrice represents the attributes, states, and locations of different rail transit network equipment.

[0019] In a second aspect, the present application further provides a line network information processing device based on real-time state perception images, comprising: a determination module for determining an initial line network image under normal conditions of all rail transit line network information; the initial line network image represents the attributes, status, and location of rail transit line network equipment;

[0020] The updating module is used to update the initial line network image at the pixel level based on the real-time status of the rail transit line network to obtain a real-time line network image.

[0021] In a third aspect, the present application further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the program.

[0022] In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which implements the method described in the first aspect when executed by a processor.

[0023] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the method described in the first aspect when executed by a processor.

[0024] The line network information processing method and device based on real-time status perception images provided in this application use line network images to represent the properties, status and position of rail transit line network equipment. The operation is simple, and it can make full use of computing resources, give play to the advantages of images, and comprehensively, intuitively and in real time display the current rail transit line network information, simplify the complexity of information processing and display, and provide convenience for rail transit operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0026] Figure 1 This is a flow chart of a wire mesh information processing method based on real-time state perception images provided by this application;

[0027] Figure 2 This is a schematic diagram of the principle of the wire mesh information processing method based on real-time state perception images provided by this application;

[0028] Figure 3 This is a schematic structural diagram of a wire mesh information processing device based on real-time state perception images provided by the present application;

[0029] Figure 4 It is a structural diagram of the electronic device provided in this application. DETAILED DESCRIPTION

[0030] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0031] Figure 1 This is a flow chart of a wire mesh information processing method based on real-time state perception images provided by an embodiment of the present application. Figure 1 The embodiment of the present application provides a wire mesh information processing method based on real-time state perception images, the execution subject of which may be an electronic device, for example, a controller. The method may include:

[0032] Step 110: Determine an initial network image when all rail transit network information is normal; the initial network image represents the properties, status, and location of rail transit network equipment;

[0033] Step 120: Based on the real-time status of the rail transit network, the initial network image is updated at the pixel level to obtain a real-time network image.

[0034] In this application, the content related to the line network can be described by an image, such as the numerical value of an image pixel representing a certain state. Since the line network has a certain topological relationship, the entire map can be arranged according to the direction of each line, and then the value representing the nearby information situation can be set in the image area close to the line. In this application, there are a large number of pixels, and the pixels represent a lot of information. The information near the transfer station may include information of multiple lines at the station at the same time. This application can represent all the information. In step 110, the initial line network image of all rail transit line network information under normal conditions can be set first. The initial line network image can represent the properties, status and position of the rail transit line network equipment.

[0035] In step 120, the controller can update the information represented by the pixels in the initial network image based on the real-time status of the rail transit network, generating a real-time network image. The real-time network image can also represent the attributes, current status, and location of rail transit network equipment. The attributes of rail transit network equipment can include the connection status of different devices, the intervals between different trains, the passenger flow of stations, and the ventilation level of tunnels.

[0036] The embodiment of the present application provides a line network information processing method based on real-time status perception images, which uses line network images to represent the properties, status and position of rail transit line network equipment. It is simple to operate, can make full use of computing resources, give play to the advantages of images, and comprehensively, intuitively and in real time display the current rail transit line network information, simplifying the complexity of information processing and display, and providing convenience for rail transit operation and maintenance.

[0037] In one embodiment, based on the real-time status of the rail transit network, the initial network image is updated at the pixel level to obtain a real-time network image, including:

[0038] The initial network image is updated based on the real-time status of the rail transit network to obtain the target network image;

[0039] Perform graphic calculations on the target network image and its corresponding logic template to obtain a logic result;

[0040] Based on the logical result, the color of each pixel of the line mesh image is determined;

[0041] Based on the color of each pixel of the line screen image, a real-time line screen image is determined.

[0042] Furthermore, in one embodiment, the logic template represents normal status thresholds of different rail transit network equipment.

[0043] This application can use the color information of the pixels of the wire mesh image to represent the device status value. Due to the high upper limit of the image resolution, such as a 4000×3000 resolution image, it can represent 12,000,000 points, and the color information of each point is 256×256×256, which can represent 16,777,216 states, which can cover almost all information. The controller can set its matching template, that is, the logical template, or a multi-layer matching template according to the different situations of the rail transit wire mesh equipment. First, the state of the initial wire mesh image is updated to obtain the target wire mesh image, and then the target wire mesh image and its corresponding logical template are calculated using conventional graphic calculation methods. All state conditions are calculated at one time to obtain a logical result. The logical result indicates whether the current state of the device is normal or abnormal, as well as the specific value. If a corresponding abnormality occurs, relevant information is provided and the corresponding wire mesh image pixel color is re-determined. If it fluctuates within the normal range, there is no need to re-determine the corresponding wire mesh image pixel color. The controller updates the color of each pixel of the target wire mesh image to obtain a real-time wire mesh image.

[0044] The line network information processing method based on real-time status perception images provided in the embodiment of the present application uses graphic calculations and pixel colors to represent the status of rail transit line network equipment, presents all information in a relatively consistent form, and has low program control difficulty. Since all calculations are performed using general graphic calculations, and graphic calculations themselves can be performed through data slicing, parallel processing is simple, and computing resources can be fully utilized to improve the efficiency of line network information processing, provide richer information at one time, and reduce the impact of information transmission on timeliness.

[0045] In one embodiment, determining an initial rail transit network image when all rail transit network information is normal includes:

[0046] Determine the pixel information of the line mesh image;

[0047] Based on the pixel information of the line network image, an initial line network image under normal conditions of all rail transit line network information is determined.

[0048] Furthermore, in one embodiment, the initial line network image includes multiple square matrices; each square matrice represents the properties, status and position of different rail transit line network equipment.

[0049] The controller can first determine the pixel information of the line network image. The initial line network image can contain multiple square matrices to represent the properties, status and position of different rail transit line network equipment. For example, the line network image structure can be a rectangle composed of multiple 8×8 square matrices, and each matrix can represent the properties, status and position of different rail transit line network equipment. For example, a square matrix represents a train, 1 pixel represents the train attribute, 1 pixel represents the starting horizontal coordinate, 1 pixel represents the starting vertical coordinate, that is, corresponding to a certain position in the entire map, 1 pixel represents the ending horizontal coordinate, 1 pixel represents the ending vertical coordinate, that is, corresponding to a certain position in the entire map, 1 pixel represents the speed, 1 pixel represents whether different equipment on the train is working properly, 1 pixel represents the full load rate of different carriages, 1 pixel represents the distance from the front car, 1 pixel represents the distance from the rear car, etc., and multiple pixels can be reserved to represent other information.

[0050] After determining the information of each pixel of the line mesh image, the controller represents the status of each line mesh device as a normal value, and the initial line mesh image can be obtained.

[0051] The line network information processing method based on real-time status perception images provided in the embodiment of the present application obtains an initial line network image by determining the pixel information of each line network image, provides data preparation for subsequent image calculation and obtaining a real-time line network image, and ensures a comprehensive, intuitive and real-time display of the current rail transit line network information.

[0052] In one embodiment, the information of each pixel of the line network image includes the attributes, initial state and position information of the rail transit line network equipment;

[0053] Based on the pixel information of the line network image, an initial line network image under normal conditions of all rail transit line network information is determined, including: determining the initial line network image based on the properties, initial state and position information of the rail transit line network equipment, and the topological relationship of the line network.

[0054] The controller can obtain the attribute and location information of all rail transit network equipment. Specifically, rail transit network equipment can include communication equipment, signaling equipment, and vehicle equipment. Because the rail transit network has a certain topology, the entire network image can be arranged according to the direction of each line, and the attribute and location information of the adjacent network equipment can be displayed at different positions in the image to obtain the initial network image.

[0055] The line network information processing method based on real-time status perception images provided in the embodiment of the present application relies on the line network topology structure to construct all the information of the line network, provides data preparation for subsequent image calculation and obtaining real-time line network images, and ensures a comprehensive, intuitive and real-time display of the current rail transit line network information.

[0056] Figure 2This is a schematic diagram of the principle of the wire mesh information processing method based on real-time state perception images provided by this application. Figure 2 , this application provides a specific example of using a wire mesh information processing method based on real-time state perception images to express wire mesh information.

[0057] This example requires setting the following operating parameters: the position of each component of the image, and the processing starting position corresponding to the logical template.

[0058] The steps include:

[0059] (1) Assume that the network has four lines, two vertical and two horizontal, with four transfer stations;

[0060] (2) Assume that the maximum number of trains on each line is 20 and the maximum number of seats at each station is 10;

[0061] (3) Assume that each station has two types of equipment: communication equipment and signal equipment, and each train has three types of equipment: communication equipment, vehicle equipment, and signal equipment;

[0062] (4) Assuming the full image resolution is 4000×3000, the color information of each point is 256×256×256;

[0063] (5) Place the line topology on the entire map, where all trains on each line, including the remaining margins, form an 8×8 square matrix, with the starting position located on the upper left side of the line. Each train has multiple pixels, such as 1 pixel representing the train attribute, 1 pixel representing the starting horizontal coordinate, 1 pixel representing the starting vertical coordinate, which corresponds to a certain position in the entire map, 1 pixel representing the ending horizontal coordinate, 1 pixel representing the ending vertical coordinate, which corresponds to a certain position in the entire map, 1 pixel representing the speed, 1 pixel representing whether different equipment on the train is working properly, 1 pixel representing the full load rate of different carriages, 1 pixel representing the distance to the preceding train, 1 pixel representing the distance to the following train, etc., and multiple pixels can be reserved to represent other information;

[0064] (6) All stations on each line, including the remaining margins, form an 8×8 square matrix, with the starting position located at the lower left side of the line. Each station has multiple pixels, such as 1 pixel representing the station attribute, 1 pixel representing the starting horizontal coordinate, 1 pixel representing the starting vertical coordinate, that is, corresponding to a certain position in the entire map, 1 pixel representing the ending horizontal coordinate, 1 pixel representing the ending vertical coordinate, that is, corresponding to a certain position in the entire map, 1 pixel representing whether different equipment in the station is working properly, 1 pixel representing the passenger flow of different stations, 1 pixel representing the previous passenger flow, 1 pixel representing the predicted passenger flow, etc., and multiple pixels can be reserved to represent other information;

[0065] (7) Each line's multiple tunnels, including the remaining margin, form an 8×8 square matrix, with the starting position located on the upper right side of the line. Each tunnel has multiple pixels, such as 1 pixel representing the tunnel attribute, 1 pixel representing the starting horizontal coordinate, 1 pixel representing the starting vertical coordinate, that is, corresponding to a certain position in the entire map, 1 pixel representing the ending horizontal coordinate, 1 pixel representing the ending vertical coordinate, that is, corresponding to a certain position in the entire map, 1 pixel representing whether multiple devices in the tunnel are working normally, 1 pixel representing the ventilation condition, and multiple pixels can be reserved to represent other information;

[0066] (8) Provide different templates (logical templates) for graphic calculations based on different equipment starting positions. For example, when observing the running status of train equipment on a certain line, the logical result of the entire train equipment can be obtained based on the starting position of the train on the line on the diagram. For example, if a certain position of the template has an upper limit, the relevant part of the train diagram and the template are used for calculation;

[0067] (9) If the situation is more complicated, such as calculating whether the ventilation conditions in the tunnel meet the requirements, it is necessary to ensure that the ventilation volume of a certain tunnel matches the number of train cars and the car load rate. In this case, multiple templates can be used for continuous calculation. For example, the train starting position can be filtered by the horizontal and vertical coordinates, the total ventilation requirements of the train can be filtered by the weighted load rate, and the tunnel ventilation conditions can be used to filter whether the requirements can be met to obtain a logical result.

[0068] (10) You can continue to add other types of information and processing templates to the diagram as needed.

[0069] The wire mesh information processing device based on real-time state perception images provided in the present application is described below. The wire mesh information processing device based on real-time state perception images described below and the wire mesh information processing method based on real-time state perception images described above can be referenced to each other.

[0070] Figure 3 Schematic diagram of the structure of the wire mesh information processing device based on real-time state perception image provided by the embodiment of the present application. Figure 3 The line network information processing device based on real-time status perception images provided in an embodiment of the present application may include: a determination module 310 for determining an initial line network image under normal conditions of all rail transit line network information; the initial line network image represents the attributes, status, and location of rail transit line network equipment;

[0071] The updating module 320 is used to update the initial line network image at the pixel level based on the real-time status of the rail transit line network to obtain a real-time line network image.

[0072] The embodiment of the present application provides a line network information processing device based on real-time status perception images, which uses line network images to represent the properties, status and position of rail transit line network equipment. It is simple to operate, can make full use of computing resources, give play to the advantages of images, and comprehensively, intuitively and in real time display the current rail transit line network information, simplifying the complexity of information processing and display, and providing convenience for rail transit operation and maintenance.

[0073] Specifically, the above-mentioned wire mesh information processing device based on real-time status perception images provided in the embodiment of the present application can implement all the method steps implemented by the above-mentioned method embodiment in which the execution subject is the controller, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0074] Figure 4 An example of a physical structure diagram of an electronic device is shown below. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the wire mesh information processing method based on the real-time state perception image, for example, including:

[0075] Determine an initial network image under normal conditions for all rail transit network information; the initial network image represents the properties, status, and location of rail transit network equipment;

[0076] Based on the real-time status of the rail transit network, the initial network image is updated at the pixel level to obtain a real-time network image.

[0077] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0078] On the other hand, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the wire mesh information processing method based on real-time state perception images provided by the above methods are implemented, for example, including:

[0079] Determine an initial network image under normal conditions for all rail transit network information; the initial network image represents the properties, status, and location of rail transit network equipment;

[0080] Based on the real-time status of the rail transit network, the initial network image is updated at the pixel level to obtain a real-time network image.

[0081] In another aspect, the present application further provides a computer program product, comprising a computer program. The computer program may be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can perform the steps of the wire mesh information processing method based on real-time state perception images provided by the above methods, for example, including:

[0082] Determine an initial network image under normal conditions for all rail transit network information; the initial network image represents the properties, status, and location of rail transit network equipment;

[0083] Based on the real-time status of the rail transit network, the initial network image is updated at the pixel level to obtain a real-time network image.

[0084] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0085] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0086] It should also be noted that the terms "first," "second," and the like in the embodiments of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein. Furthermore, the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects. For example, the first object can be one or more.

[0087] In the embodiments of this application, the term "and / or" describes the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0088] In the embodiments of the present application, "determine B based on A" means that the factor A must be considered when determining B. It is not limited to "B can be determined based on A alone", and should also include: "determine B based on A and C", "determine B based on A, C and E", "determine C based on A, and further determine B based on C", etc. It can also include taking A as a condition for determining B, for example, "when A meets the first condition, use the first method to determine B"; for example, "when A meets the second condition, determine B", etc.; for example, "when A meets the third condition, determine B based on the first parameter", etc. Of course, it can also be a condition that takes A as a factor in determining B, for example, "when A meets the first condition, use the first method to determine C, and further determine B based on C", etc.

[0089] In the embodiments of the present application, the term "plurality" refers to two or more than two, and other quantifiers are similar.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A wire mesh information processing method based on real-time state perception images, characterized in that: include: Determine the initial rail transit network image when all rail transit network information is normal; The initial network image represents the properties, status and location of rail transit network equipment; Based on the real-time status of the rail transit network, the initial network image is updated at the pixel level to obtain a real-time network image; The method of performing pixel-level updating on the initial line network image based on the real-time state of the rail transit line network to obtain a real-time line network image includes: The initial line network image is updated based on the real-time status of the rail transit line network to obtain a target line network image; Performing graphic calculation on the target network image and its corresponding logic template to obtain a logic result, wherein the logic result indicates whether the current state of the rail transit network equipment is normal or abnormal, and a device state value of the rail transit network equipment; Based on the logic result, determining the color of each pixel of the line network image, wherein the color of each pixel of the line network image is used to represent the device status value of the rail transit line network device; determining the real-time line-screen image based on the color of each pixel of the line-screen image; The logic template represents the normal state threshold value of different rail transit network equipment, and the logic template is set according to different situations of the rail transit network equipment.

2. The wire mesh information processing method based on real-time state perception images according to claim 1, characterized in that: The determining of the initial rail transit network image under normal conditions of all rail transit network information includes: Determine the pixel information of the line mesh image; Based on the pixel information of the line network image, the initial line network image under the condition that all rail transit line network information is normal is determined.

3. The wire mesh information processing method based on real-time state perception images according to claim 2, characterized in that: The pixel information of the line network image includes the attributes, initial state and position information of the rail transit line network equipment; The determining, based on pixel information of the line network image, the initial line network image when all rail transit line network information is normal includes: The initial network image is determined based on the properties, initial state and position information of the rail transit network equipment and the topological relationship of the network.

4. The wire mesh information processing method based on real-time state perception images according to claim 2, characterized in that: The initial line network image includes multiple matrixes; each matrix represents the properties, status and position of different rail transit line network equipment.

5. A wire mesh information processing device based on real-time state perception images, characterized in that: include: A determination module, used to determine an initial rail transit network image when all rail transit network information is normal; The initial network image represents the properties, status and location of rail transit network equipment; An updating module, configured to update the initial network image at a pixel level based on the real-time status of the rail transit network to obtain a real-time network image; The method of performing pixel-level updating on the initial line network image based on the real-time state of the rail transit line network to obtain a real-time line network image includes: The initial line network image is updated based on the real-time status of the rail transit line network to obtain a target line network image; Performing graphic calculation on the target network image and its corresponding logic template to obtain a logic result, wherein the logic result indicates whether the current state of the rail transit network equipment is normal or abnormal, and a device state value of the rail transit network equipment; Based on the logic result, determining the color of each pixel of the line network image, wherein the color of each pixel of the line network image is used to represent the device status value of the rail transit line network device; determining the real-time line-screen image based on the color of each pixel of the line-screen image; The logic template represents the normal state threshold value of different rail transit network equipment, and the logic template is set according to different situations of the rail transit network equipment.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the wire mesh information processing method based on real-time state perception images as described in any one of claims 1 to 4 is implemented.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the wire mesh information processing method based on real-time state perception images as described in any one of claims 1 to 4 is implemented.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the wire mesh information processing method based on real-time state perception images as described in any one of claims 1 to 4 is implemented.

Images