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

Abstract

The invention provides a network information processing method and device based on a real-time state perception image, and relates to the technical field of information processing. The method comprises the following steps: determining an initial line network image under the condition that all rail transit line network information is normal; the initial line network image represents the attribute, the state and the position of track traffic line network equipment; and based on the real-time state of the rail transit line network, performing pixel-level updating on the initial line network image to obtain a real-time line network image. According to the line network information processing method and device based on the real-time state perception image provided by the invention, the track traffic line network information can be difficultly and intuitively described in real time.

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 status 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 capacity maintenance of 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 manner.

[0003] If the traditional information description method is used, 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 makes it 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 prior art that it is difficult to describe the rail transit line network information in real time and intuitively.

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

[0006] Optionally, the pixel-level updating of 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 wire mesh image and its corresponding logic template to obtain a logic result; Based on the logic result, determining the color of each pixel of the wire mesh image; The real-time wire screen image is determined based on the color of each pixel of the wire screen image.

[0007] Optionally, the logic template represents normal state thresholds of different rail transit network equipment.

[0008] Optionally, the determining of an initial rail transit network image when all rail transit network information is normal includes: Determine each pixel information of the wire 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.

[0009] Optionally, 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 the 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 location information of the rail transit network equipment and the topological relationship of the network. Optionally, the initial network image includes multiple square arrays; each square array represents the properties, state and location of different rail transit network equipment.

[0010] In a second aspect, the present application further provides a line network information processing device based on real-time state perception images, including: a determination module, used to determine an initial line network image under normal conditions of all rail transit line network information; the initial line network image represents the attributes, state and position of rail transit line network equipment; 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.

[0011] 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.

[0012] In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0013] 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.

[0014] The line network information processing method and device based on real-time status perception images provided in the present 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

[0015] 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 paying any creative work.

[0016] Figure 1 It is a flow chart of a wire mesh information processing method based on real-time state perception images provided by the present application; Figure 2 It is a schematic diagram of the principle of the wire network information processing method based on real-time state perception image provided by the present application; Figure 3 It is a structural schematic diagram of a wire network information processing device based on real-time state perception images provided by the present application; Figure 4 It is a schematic diagram of the structure of the electronic device provided by this application. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] Figure 1 is a flow chart of a wire mesh information processing method based on real-time state perception images provided in 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, and the method may include: Step 110, determining an initial line network image when all rail transit line network information is normal; the initial line network image represents the properties, status and location of rail transit line network equipment; 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.

[0019] In this application, the content related to the line network can be described by images, 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 about multiple lines at the station at the same time. This application can represent all the information. In step 110, the initial line network image under normal conditions of all rail transit line network information can be set first. The initial line network image can represent the properties, status and position of the rail transit line network equipment.

[0020] In step 120, the controller may update the information represented by the pixels of the initial network image based on the real-time status of the rail transit network to obtain a real-time network image. The real-time network image may also represent the properties, current status and location of the rail transit network equipment. The properties of the rail transit network equipment may include the connection status of different equipment, the interval between different trains, the passenger flow of the station, the ventilation degree of the tunnel, etc.

[0021] The line network information processing method based on real-time status perception images provided in the embodiment of the present application uses 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.

[0022] 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: The initial network image is updated based on the real-time status of the rail transit network to obtain the target network image; Perform graphic calculation on the target wire mesh image and its corresponding logic template to obtain a logic result; Based on the logic result, the color of each pixel of the wire mesh image is determined; Based on the color of each pixel of the wire screen image, a real-time wire screen image is determined.

[0023] Furthermore, in one embodiment, the logic template represents normal status thresholds of different rail transit network equipment.

[0024] 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, 12,000,000 points can be represented, and the color information of each point is 256×256×256, which can represent 16,777,216 states, which can almost cover 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 by conventional graphic calculation. 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 a 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, the corresponding wire mesh image pixel color does not need to be re-determined. The controller updates the color of each pixel of the target wire mesh image to obtain a real-time wire mesh image.

[0025] 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, presenting 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.

[0026] In one embodiment, determining an initial rail transit network image when all rail transit network information is normal includes: Determine each pixel information of the wire mesh image; 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.

[0027] Furthermore, in one embodiment, the initial line network image includes multiple square arrays; each square array represents the properties, status and position of different rail transit line network equipment.

[0028] The controller can first determine the pixel information of the line network image. The initial line network image can contain multiple square arrays 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 arrays, and each square array can represent the properties, status and position of different rail transit line network equipment. For example, a square array 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, it corresponds to a certain position in the whole picture, 1 pixel represents the ending horizontal coordinate, 1 pixel represents the ending vertical coordinate, that is, it corresponds to a certain position in the whole picture, 1 pixel represents the speed, 1 pixel represents whether the different equipment of the train is working normally, 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.

[0029] After determining the information of each pixel of the wire mesh image, the controller represents the state of each wire mesh device as a normal value, and the initial wire mesh image can be obtained.

[0030] 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.

[0031] 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; 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.

[0032] The controller can obtain the attribute information and location information of all rail transit network equipment. Specifically, rail transit network equipment may include communication equipment, signal equipment, and vehicle equipment. Since the rail transit network has a certain topological relationship, the entire network image can be arranged according to the direction of each line, and the attributes and location information of the attached network equipment are represented at different positions of the image, thereby obtaining the initial network image.

[0033] 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 topological 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.

[0034] 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.

[0035] The running parameters that need to be set in this example include: the position of each component of the image, and the processing starting position corresponding to the logical template.

[0036] The steps include: (1) Assume that the network has four lines, two vertical and two horizontal, with four transfer stations; (2) Assume that the maximum number of trains on each line is 20 and the maximum number of seats at each station is 10; (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; (4) Assuming the full image resolution is 4000×3000, the color information of each point is 256×256×256; (5) The line topology is placed 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, 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 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 front car, 1 pixel representing the distance to the rear car, etc., and multiple pixels can be reserved to represent other information; (6) All stations of 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 whole map, 1 pixel representing the ending horizontal coordinate, 1 pixel representing the ending vertical coordinate, that is, corresponding to a certain position in the whole 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 in the future, etc., and multiple pixels can be reserved to represent other information; (7) Each line has multiple tunnels including the remaining margins forming an 8×8 square matrix, with the starting position located at 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 whole map, 1 pixel representing the ending horizontal coordinate, 1 pixel representing the ending vertical coordinate, that is, corresponding to a certain position in the whole 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; (8) Provide different templates (logical templates) for graphic calculations based on different equipment starting positions. For example, to observe the running status of train equipment on a certain line, you can start from 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 calculated to obtain the logical result of the entire train equipment. (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 carriages and the full load rate of the carriages. In this case, multiple templates can be used for continuous calculation. For example, the train starting position can be selected by the horizontal and vertical coordinates, the total ventilation requirements of the train can be weighted by the full load rate, and the tunnel ventilation conditions can be used to select whether the requirements can be met to obtain a logical result. (10) Other types of information and processing templates can be added to the diagram as needed.

[0037] 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.

[0038] 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 state perception image provided by the embodiment of the present application may include: a determination module 310, which is used to determine an initial line network image when all rail transit line network information is normal; the initial line network image represents the attributes, state and position of the rail transit line network equipment; The updating module 320 is used to perform 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.

[0039] The line network information processing device based on real-time status perception images provided in the embodiment of the present application 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, simplify the complexity of information processing and display, and provide convenience for rail transit operation and maintenance.

[0040] Specifically, the 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 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 those of the method embodiment will not be described in detail here.

[0041] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. 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 through 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: 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; 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.

[0042] 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 it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0043] On the other hand, the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the wire mesh information processing method based on the real-time state perception image provided by the above methods, for example, including: 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; 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.

[0044] On the other hand, the present application further provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can execute the steps of the wire mesh information processing method based on the real-time state perception image provided by the above methods, for example, including: 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; 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.

[0045] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0046] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for 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 some parts of the embodiments.

[0047] It should also be noted that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more.

[0048] In the embodiments of the present application, the term "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0049] "Determine B based on A" in the embodiments of the present application means that the factor A should be considered when determining B. It is not limited to "B can be determined based on A alone", but 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. In addition, 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 another example, "When A meets the second condition, determine B", etc.; for another 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 for 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.

[0050] In the embodiments of the present application, the term "plurality" refers to two or more than two, and other quantifiers are similar.

[0051] 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 it. 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 network image when all rail transit network information is normal; The initial line network image represents the properties, status and location of the rail transit line 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.

2. The wire mesh information processing method based on real-time state perception image according to claim 1 is characterized in that: The method of updating the initial line network image at the pixel level 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 wire mesh image and its corresponding logic template to obtain a logic result; Based on the logic result, determining the color of each pixel of the wire mesh image; The real-time wire screen image is determined based on the color of each pixel of the wire screen image.

3. The wire mesh information processing method based on real-time state perception image according to claim 2 is characterized in that: The logic template represents the normal state thresholds of different rail transit network equipment.

4. The wire mesh information processing method based on real-time state perception image according to claim 1, characterized in that: The step of determining an initial rail transit network image when all rail transit network information is normal includes: Determine each pixel information of the wire 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.

5. The wire mesh information processing method based on real-time state perception image according to claim 4 is 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 the 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 location information of the rail transit network equipment and the topological relationship of the network.

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

7. 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 network image when all rail transit network information is normal; The initial line network image represents the properties, status and location of the rail transit line network equipment; 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.

8. 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 6 is implemented.

9. 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 6 is implemented.

10. 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 6 is implemented.

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