Electric locomotive brake control system and method based on environmental analysis

Abstract

The invention discloses an electric locomotive braking control system and method based on environmental analysis, and belongs to the field of electric locomotive braking. Acquired braking data of an electric locomotive braking module is imported into a braking abnormal value judgment model to judge a braking abnormal value; the obtained environment data in the operation process of the electric locomotive is imported into an environment abnormal value judgment model to judge an environment abnormal value, and the obtained braking abnormal value and the environment abnormal value are substituted into a braking safety coefficient calculation strategy to calculate the braking safety coefficient. The braking safety coefficient obtained through calculation is compared with a set braking safety coefficient threshold value, safety braking maintenance early warning is carried out, data of the braking module and braking environment data in the braking process are comprehensively analyzed, the operation condition of the braking module is accurately recognized, the accuracy and efficiency of braking function early warning are improved, and the braking function early warning efficiency is improved. And the operation safety of the locomotive is improved.

Description

Technical Field

[0001] The present invention belongs to the field of electric locomotive braking, and in particular relates to an electric locomotive braking control system and method based on environmental analysis. Background Art

[0002] An electric locomotive is a locomotive whose wheels are driven by an electric motor. In normal braking mode, an electric locomotive has two braking modes: air braking and electric braking. However, when the main or small brakes or the brake control unit of the electric locomotive malfunction, the operator will switch the electric locomotive from normal braking mode to backup braking mode. However, in the existing technology, when an electric locomotive uses air braking and electric braking at the same time, the magnitude of the air braking force and the electric braking force is difficult to control. When the braking force applied to the electric locomotive is too large, it is easy to cause the electric locomotive to malfunction. The existing technology is unable to comprehensively analyze the data of the brake module and the braking environment data during the braking process, and is unable to accurately identify the operating status of the brake module, which reduces the accuracy and efficiency of the brake function warning. The above problems exist in all existing technologies. For example, Chinese patent application publication number CN103625504A discloses a brake control method and device for an electric locomotive. The electric locomotive includes a controller, a pressure switch connected to the controller via a first interface, and a brake cylinder connected to the pressure switch. The method may include: obtaining a level at the first interface and determining the type of the level. The levels include a first level and a second level. The first level is generated when the brake cylinder pressure detected by the pressure switch is less than a first preset pressure; the second level is generated when the brake cylinder pressure detected by the pressure switch is greater than or equal to the first preset pressure. The first preset pressure serves as a criterion for whether to activate electric braking. When the level is the first level, electric braking is activated; when the level is the second level, electric braking is deactivated. The present invention enables the use of air braking and electric braking in combination while ensuring that power failure does not occur, thereby saving energy. The above patents all have the problems raised by this background technology: the existing technology is unable to comprehensively analyze the data of the brake module and the braking environment data during the braking process, and is unable to accurately identify the operating conditions of the brake module, which reduces the accuracy and efficiency of the brake function warning. In order to solve these problems, this application designs an electric locomotive braking control system and method based on environmental analysis. Summary of the Invention

[0003] In response to the deficiencies in the prior art, the present invention obtains environmental data during the operation of an electric locomotive, and simultaneously obtains braking data of a braking module of the electric locomotive, imports the obtained braking data of the braking module of the electric locomotive into a braking abnormality value judgment model to judge the braking abnormality value, imports the obtained environmental data during the operation of the electric locomotive into an environmental abnormality value judgment model to judge the environmental abnormality value, substitutes the obtained braking abnormality value and environmental abnormality into a braking safety factor calculation strategy to calculate the braking safety factor, compares the calculated braking safety factor with a set braking safety factor threshold, performs a safe braking maintenance warning, comprehensively analyzes the data of the braking module and the braking environment data during the braking process, accurately identifies the operation status of the braking module, improves the accuracy and efficiency of the braking function warning, and improves the safety of locomotive operation.

[0004] To achieve the above object, the present invention provides the following technical solutions: The electric locomotive braking control method based on environmental analysis includes the following specific steps: Acquire environmental data during the operation of the electric locomotive, and at the same time acquire braking data of the electric locomotive brake module; Importing the obtained braking data of the electric locomotive brake module into the braking abnormality value judgment model to judge the braking abnormality value; The environmental data obtained during the operation of the electric locomotive is imported into the environmental abnormal value judgment model to judge the environmental abnormal value; Substituting the obtained braking abnormality value and environmental abnormality value into the braking safety factor calculation strategy to calculate the braking safety factor; The calculated braking safety factor is compared with the set braking safety factor threshold to provide a safety braking maintenance warning.

[0005] It should be specifically explained that the acquisition of environmental data during the operation of the electric locomotive and the acquisition of braking data of the electric locomotive brake module include the following specific steps: S11. The electric locomotive runs on a designated locomotive track, and environmental data during the operation of the electric locomotive is collected through an environmental data collection terminal, wherein the environmental data includes ambient temperature, humidity, and wind speed data; S12, collecting image data and thickness data of the electric locomotive brake component through the brake data collection terminal of the electric locomotive brake module, and collecting surface temperature data of the electric locomotive brake component; S13. Collect the real-time load data and rated load data of the electric locomotive through the electric locomotive load collection module.

[0006] It should be specifically explained here that the braking abnormality value judgment model includes the following specific contents: S21. Obtain image data, thickness data, and surface temperature data of the electric locomotive brake assembly, import the obtained image data of the electric locomotive brake assembly into image processing software to derive pixel values of each pixel of the image, and simultaneously obtain corresponding thickness data of each pixel, and simultaneously obtain pixel values and corresponding thicknesses of each pixel of the finished electric locomotive brake assembly; S22, importing the obtained pixel value and corresponding thickness of each pixel point of the image into the braking image abnormal value calculation formula to calculate the braking image abnormal value, wherein the braking image abnormal value calculation formula is: , where n is the number of image pixels of the electric locomotive brake assembly, r is the radius of the electric locomotive brake assembly, is the distance from the i-th pixel point on the electric locomotive brake assembly to the electric locomotive brake assembly, is the pixel value of the i-th pixel point of the collected real-time image of the electric locomotive brake module, is the pixel value of the i-th pixel point of the collected electric locomotive brake module product image, is the thickness data of the i-th pixel position of the real-time image of the electric locomotive brake module, The thickness data of the i-th pixel position of the finished product image of the electric locomotive brake module; S23, substituting the calculated braking image abnormality value and the electric locomotive brake component surface temperature data into the braking abnormality value calculation formula to calculate the braking abnormality value. The braking abnormality value calculation formula is: , where T is the surface temperature of the electric locomotive brake assembly, The maximum safe range of surface temperature of electric locomotive brake components. The minimum safe range of surface temperature of electric locomotive brake components. The value closest to T within the safe range of surface temperature of electric locomotive brake components; It should be specifically explained here that the environmental outlier judgment model includes the following specific steps: Environmental data during the operation of the electric locomotive is obtained, and the obtained environmental data during the operation of the electric locomotive is imported into the environmental abnormality value calculation formula to calculate the environmental abnormality value, wherein the environmental abnormality value calculation formula is: , where m is the type of environmental data, is the proportion coefficient of the j-th environmental data, is the real-time value of the j-th environmental data, is the maximum value of the safety range of the jth type of environmental data, is the minimum value of the safety range of the jth environmental data, is the median of the safety range of the j-th environmental data, where .

[0007] It should be specifically explained here that the braking safety factor calculation strategy includes the following specific steps: Obtain the calculated braking abnormality value and environmental abnormality value, substitute the calculated braking abnormality value, environmental abnormality value, real-time load data and rated load data of the electric locomotive into the braking safety factor calculation formula to calculate the braking safety factor, wherein the braking safety factor calculation formula is: , where SK is the total score of the set braking safety factor, is the braking abnormality ratio coefficient, is the environmental outlier ratio coefficient, is the load abnormal value ratio coefficient, For real-time load data, is the rated load data, where ,in, .

[0008] It should be specifically explained here that the specific steps of comparing the calculated brake safety factor with the set brake safety factor threshold and performing a safety brake maintenance warning are as follows: S51. Compare the calculated braking safety factor with a set braking safety factor threshold. If the braking safety factor is greater than or equal to the set braking safety factor threshold, issue a safe driving instruction. If the braking safety factor is less than the set braking safety factor threshold, issue a braking abnormality instruction. S52. Perform a safety brake inspection and early warning according to the issued brake abnormality instruction.

[0009] It should be noted here that the method for obtaining the proportion coefficient of the j-th environmental data, the proportion coefficient of braking abnormality, the proportion coefficient of environmental abnormality, the proportion coefficient of load abnormality and the braking safety factor threshold is as follows: obtain 5,000 sets of braking failure data and corresponding environmental data during the locomotive braking process, and at the same time obtain 5,000 sets of braking success data and corresponding environmental data, substitute the braking failure data and corresponding environmental data, the braking success data and the corresponding environmental data into the braking safety factor calculation formula to calculate the braking safety factor, import the calculated braking safety factor and classification results into the fitting software, and output the values of the proportion coefficient of the j-th environmental data, the braking abnormality proportion coefficient, the environmental abnormality proportion coefficient, the load abnormality proportion coefficient and the braking safety factor threshold that meet the classification accuracy.

[0010] The electric locomotive brake control system based on environmental analysis is implemented based on the above electric locomotive brake control method based on environmental analysis, and specifically includes: The data acquisition module is used to obtain environmental data during the operation of the electric locomotive and the braking data of the electric locomotive brake module; A braking abnormality analysis module is used to import the obtained braking data of the electric locomotive braking module into the braking abnormality value judgment model to judge the braking abnormality value; An environmental anomaly analysis module is used to import the environmental data obtained during the operation of the electric locomotive into the environmental anomaly value judgment model to judge the environmental anomaly value; A braking safety analysis module is used to substitute the acquired braking abnormality value and environmental abnormality value into the braking safety factor calculation strategy to calculate the braking safety factor; Braking warning module, used to compare the calculated braking safety factor with the set braking safety factor threshold to provide a safety braking maintenance warning; The control module is used to control the operation of the data acquisition module, the braking abnormality analysis module, the environmental abnormality analysis module, the braking safety analysis module and the braking warning module.

[0011] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned electric locomotive braking control method based on environmental analysis by calling the computer program stored in the memory.

[0012] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned electric locomotive braking control method based on environmental analysis.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains environmental data during the operation of an electric locomotive, and simultaneously obtains braking data of a braking module of the electric locomotive, imports the obtained braking data of the braking module of the electric locomotive into a braking abnormality value judgment model to judge the braking abnormality value, imports the obtained environmental data during the operation of the electric locomotive into the environmental abnormality value judgment model to judge the environmental abnormality value, substitutes the obtained braking abnormality value and environmental abnormality into a braking safety factor calculation strategy to calculate the braking safety factor, compares the calculated braking safety factor with a set braking safety factor threshold, performs a safe braking maintenance warning, comprehensively analyzes the data of the braking module and the braking environment data during the braking process, accurately identifies the operation status of the braking module, improves the accuracy and efficiency of the braking function warning, and improves the safety of locomotive operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0015] Figure 1 This is a schematic diagram of the overall flow of the electric locomotive braking control method based on environmental analysis of the present invention; Figure 2 This is a schematic diagram of the overall framework of the electric locomotive braking control system based on environmental analysis of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0018] Example 1 See also Figure 1 The present invention provides an embodiment: This embodiment solves the following technical problems: the existing technology is unable to comprehensively analyze the data of the brake module and the braking environment data during the braking process, and is unable to accurately identify the operating conditions of the brake module, thereby reducing the accuracy and efficiency of the brake function warning; The electric locomotive braking control method based on environmental analysis includes the following specific steps: Acquire environmental data during the operation of the electric locomotive, and at the same time acquire braking data of the electric locomotive brake module; Importing the obtained braking data of the electric locomotive brake module into the braking abnormality value judgment model to judge the braking abnormality value; The environmental data obtained during the operation of the electric locomotive is imported into the environmental abnormal value judgment model to judge the environmental abnormal value; Substituting the obtained braking abnormality value and environmental abnormality value into the braking safety factor calculation strategy to calculate the braking safety factor; Compare the calculated braking safety factor with the set braking safety factor threshold to provide a safety braking maintenance warning; In this embodiment, it should be specifically explained that obtaining environmental data during the operation of the electric locomotive and simultaneously obtaining braking data of the electric locomotive brake module include the following specific steps: S11. The electric locomotive runs on a designated locomotive track, and environmental data during the operation of the electric locomotive is collected through an environmental data collection terminal, wherein the environmental data includes ambient temperature, humidity, and wind speed data; S12, collecting image data and thickness data of the electric locomotive brake component through the brake data collection terminal of the electric locomotive brake module, and collecting surface temperature data of the electric locomotive brake component; S13, collecting real-time load data and rated load data of the electric locomotive through the electric locomotive load collection module; In this embodiment, it should be specifically explained that a braking abnormality value judgment model includes the following specific contents: S21. Obtain image data, thickness data, and surface temperature data of the electric locomotive brake assembly, import the obtained image data of the electric locomotive brake assembly into image processing software to derive pixel values of each pixel of the image, and simultaneously obtain corresponding thickness data of each pixel, and simultaneously obtain pixel values and corresponding thicknesses of each pixel of the finished electric locomotive brake assembly; S22, importing the obtained pixel value and corresponding thickness of each pixel point of the image into the braking image abnormal value calculation formula to calculate the braking image abnormal value, wherein the braking image abnormal value calculation formula is: , where n is the number of image pixels of the electric locomotive brake assembly, r is the radius of the electric locomotive brake assembly, is the distance from the i-th pixel point on the electric locomotive brake assembly to the electric locomotive brake assembly, is the pixel value of the i-th pixel point of the collected real-time image of the electric locomotive brake module, is the pixel value of the i-th pixel point of the collected electric locomotive brake module product image, is the thickness data of the i-th pixel position of the real-time image of the electric locomotive brake module, The thickness data of the i-th pixel position of the finished product image of the electric locomotive brake module; S23, substituting the calculated braking image abnormality value and the electric locomotive brake component surface temperature data into the braking abnormality value calculation formula to calculate the braking abnormality value. The braking abnormality value calculation formula is: , where T is the surface temperature of the electric locomotive brake assembly, The maximum safe range of surface temperature of electric locomotive brake components. The minimum safe range of surface temperature of electric locomotive brake components. The value closest to T within the safe range of surface temperature of electric locomotive brake components; In this embodiment, it should be specifically explained that the environmental outlier judgment model includes the following specific steps: Environmental data during the operation of the electric locomotive is obtained, and the obtained environmental data during the operation of the electric locomotive is imported into the environmental abnormality value calculation formula to calculate the environmental abnormality value, wherein the environmental abnormality value calculation formula is: , where m is the type of environmental data, is the proportion coefficient of the j-th environmental data, is the real-time value of the j-th environmental data, is the maximum value of the safety range of the jth type of environmental data, is the minimum value of the safety range of the jth environmental data, is the median of the safety range of the j-th environmental data, where ; In this embodiment, it should be specifically explained that the braking safety factor calculation strategy includes the following specific steps: Obtain the calculated braking abnormality value and environmental abnormality value, substitute the calculated braking abnormality value, environmental abnormality value, real-time load data and rated load data of the electric locomotive into the braking safety factor calculation formula to calculate the braking safety factor, wherein the braking safety factor calculation formula is: , where SK is the total score of the set braking safety factor, is the braking abnormality ratio coefficient, is the environmental outlier ratio coefficient, is the load abnormal value ratio coefficient, For real-time load data, is the rated load data, where ,in, ; In this embodiment, it should be specifically explained that the specific steps of comparing the calculated braking safety factor with the set braking safety factor threshold and performing a safety brake maintenance warning are as follows: S51. Compare the calculated braking safety factor with a set braking safety factor threshold. If the braking safety factor is greater than or equal to the set braking safety factor threshold, issue a safe driving instruction. If the braking safety factor is less than the set braking safety factor threshold, issue a braking abnormality instruction. S52: Perform safety brake inspection and early warning according to the issued brake abnormality instruction; What needs to be specifically explained in this embodiment is that the value-taking method of the proportion coefficient of the j-th environmental data, the braking abnormality proportion coefficient, the environmental abnormality proportion coefficient, the load abnormality proportion coefficient and the braking safety factor threshold value is as follows: 5000 sets of braking failure data and corresponding environmental data during the braking process of the locomotive are obtained, and 5000 sets of braking success data and corresponding environmental data are obtained at the same time, and the braking failure data and the corresponding environmental data, the braking success data and the corresponding environmental data are substituted into the braking safety factor calculation formula to calculate the braking safety factor, and the calculated braking safety factor and the classification result are imported into the fitting software, and the values of the proportion coefficient of the j-th environmental data, the braking abnormality proportion coefficient, the environmental abnormality proportion coefficient, the load abnormality proportion coefficient and the braking safety factor threshold value that meet the classification accuracy are output; It should be noted here that the advantages of this embodiment over the existing technology are: obtaining environmental data during the operation of the electric locomotive, and at the same time obtaining the braking data of the electric locomotive braking module, importing the obtained braking data of the electric locomotive braking module into the braking abnormality value judgment model to judge the braking abnormality value, importing the obtained environmental data during the operation of the electric locomotive into the environmental abnormality value judgment model to judge the environmental abnormality value, substituting the obtained braking abnormality value and environmental abnormality into the braking safety factor calculation strategy to calculate the braking safety factor, comparing the calculated braking safety factor with the set braking safety factor threshold, and performing a safe braking maintenance warning, comprehensively analyzing the braking module data and braking environment data during the braking process, accurately identifying the operation status of the braking module, improving the accuracy and efficiency of the braking function warning, and improving the safety of locomotive operation.

[0019] Example 2 See also Figure 2 As shown, the electric locomotive brake control system based on environmental analysis is implemented based on the above electric locomotive brake control method based on environmental analysis, which specifically includes: The data acquisition module is used to obtain environmental data during the operation of the electric locomotive and the braking data of the electric locomotive brake module; A braking abnormality analysis module is used to import the obtained braking data of the electric locomotive braking module into the braking abnormality value judgment model to judge the braking abnormality value; An environmental anomaly analysis module is used to import the environmental data obtained during the operation of the electric locomotive into the environmental anomaly value judgment model to judge the environmental anomaly value; A braking safety analysis module is used to substitute the acquired braking abnormality value and environmental abnormality value into the braking safety factor calculation strategy to calculate the braking safety factor; Braking warning module, used to compare the calculated braking safety factor with the set braking safety factor threshold to provide a safety braking maintenance warning; The control module is used to control the operation of the data acquisition module, the braking abnormality analysis module, the environmental abnormality analysis module, the braking safety analysis module and the braking warning module.

[0020] Example 3 This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned electric locomotive braking control method based on environmental analysis by calling the computer program stored in the memory.

[0021] This electronic device may vary significantly depending on its configuration or performance. It may include one or more processors (Central Processing Units, CPUs) and one or more memories, wherein the memories store at least one computer program, which is loaded and executed by the processor to implement the electric locomotive braking control method based on environmental analysis provided in the above-described method embodiment. The electronic device may also include other components for implementing the device's functions. For example, the electronic device may also include components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment is not described in detail here.

[0022] Example 4 This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program is run on a computer device, the computer device is caused to execute the above-mentioned electric locomotive braking control method based on environmental analysis.

[0023] For example, computer-readable storage media can be read-only memory (ROM), random access memory (RAM), compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device.

[0024] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0025] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0026] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. A computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are fully or partially generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, computer instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. A computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. Available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. Semiconductor media can be solid-state drives.

[0027] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0028] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0029] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0030] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0031] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of readable storage medium known in the art.

[0032] Specific examples are used in this application to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. An electric locomotive braking control method based on environmental analysis, characterized in that: It includes the following specific steps: Acquire environmental data during the operation of the electric locomotive, and at the same time acquire braking data of the electric locomotive brake module; Importing the obtained braking data of the electric locomotive brake module into the braking abnormality value judgment model to judge the braking abnormality value; The environmental data obtained during the operation of the electric locomotive is imported into the environmental abnormal value judgment model to judge the environmental abnormal value; Substituting the obtained braking abnormality value and environmental abnormality value into the braking safety factor calculation strategy to calculate the braking safety factor; The calculated braking safety factor is compared with the set braking safety factor threshold to provide a safety braking maintenance warning.

2. The electric locomotive braking control method based on environmental analysis according to claim 1, characterized in that: The acquisition of environmental data during the operation of the electric locomotive and the acquisition of braking data of the electric locomotive brake module include the following specific steps: S11. The electric locomotive runs on a designated locomotive track, and the environmental data during the operation of the electric locomotive is collected through the environmental data collection terminal; S12, collecting image data and thickness data of the electric locomotive brake component through the brake data collection terminal of the electric locomotive brake module, and collecting surface temperature data of the electric locomotive brake component; S13. Collect the real-time load data and rated load data of the electric locomotive through the electric locomotive load collection module.

3. The electric locomotive braking control method based on environmental analysis according to claim 2, characterized in that: The braking abnormality value judgment model includes the following specific contents: S21. Obtain image data, thickness data, and surface temperature data of the electric locomotive brake assembly, import the obtained image data of the electric locomotive brake assembly into image processing software to derive pixel values of each pixel of the image, and simultaneously obtain corresponding thickness data of each pixel, and simultaneously obtain pixel values and corresponding thicknesses of each pixel of the finished electric locomotive brake assembly; S22, importing the obtained pixel value and corresponding thickness of each pixel point of the image into the braking image abnormal value calculation formula to calculate the braking image abnormal value, wherein the braking image abnormal value calculation formula is: , where n is the number of image pixels of the electric locomotive brake assembly, r is the radius of the electric locomotive brake assembly, is the distance from the i-th pixel point on the electric locomotive brake assembly to the electric locomotive brake assembly, is the pixel value of the i-th pixel point of the collected real-time image of the electric locomotive brake module, is the pixel value of the i-th pixel point of the collected electric locomotive brake module product image, is the thickness data of the i-th pixel position of the real-time image of the electric locomotive brake module, The thickness data of the i-th pixel position of the finished product image of the electric locomotive brake module; S23, substituting the calculated braking image abnormality value and the electric locomotive brake component surface temperature data into the braking abnormality value calculation formula to calculate the braking abnormality value. The braking abnormality value calculation formula is: , where T is the surface temperature of the electric locomotive brake assembly, The maximum safe range of surface temperature of electric locomotive brake components. The minimum safe range of surface temperature of electric locomotive brake components. It is the value closest to T within the safe range of surface temperature of electric locomotive brake components.

4. The electric locomotive braking control method based on environmental analysis according to claim 3, characterized in that: The environmental outlier judgment model includes the following specific steps: Environmental data during the operation of the electric locomotive is obtained, and the obtained environmental data during the operation of the electric locomotive is imported into the environmental abnormality value calculation formula to calculate the environmental abnormality value, wherein the environmental abnormality value calculation formula is: , where m is the type of environmental data, is the proportion coefficient of the j-th environmental data, is the real-time value of the j-th environmental data, is the maximum value of the safety range of the jth type of environmental data, is the minimum value of the safety range of the jth environmental data, is the median of the safety range of the j-th environmental data, where .

5. The electric locomotive braking control method based on environmental analysis according to claim 4, characterized in that: The braking safety factor calculation strategy includes the following specific steps: Obtain the calculated braking abnormality value and environmental abnormality value, substitute the calculated braking abnormality value, environmental abnormality value, real-time load data and rated load data of the electric locomotive into the braking safety factor calculation formula to calculate the braking safety factor, wherein the braking safety factor calculation formula is: , where SK is the total score of the set braking safety factor, is the braking abnormality ratio coefficient, is the environmental outlier ratio coefficient, is the load abnormal value ratio coefficient, For real-time load data, is the rated load data, where ,in, .

6. The electric locomotive braking control method based on environmental analysis according to claim 5, characterized in that: The specific steps of comparing the calculated braking safety factor with the set braking safety factor threshold and performing a safety braking maintenance warning are as follows: S51. Compare the calculated braking safety factor with a set braking safety factor threshold. If the braking safety factor is greater than or equal to the set braking safety factor threshold, issue a safe driving instruction. If the braking safety factor is less than the set braking safety factor threshold, issue a braking abnormality instruction. S52. Perform a safety brake inspection and early warning according to the issued brake abnormality instruction.

7. An electric locomotive brake control system based on environmental analysis, which is implemented based on the electric locomotive brake control method based on environmental analysis according to any one of claims 1 to 6, characterized in that: Specifically include: The data acquisition module is used to obtain environmental data during the operation of the electric locomotive and the braking data of the electric locomotive brake module; A braking abnormality analysis module is used to import the obtained braking data of the electric locomotive braking module into the braking abnormality value judgment model to judge the braking abnormality value; An environmental anomaly analysis module is used to import the environmental data obtained during the operation of the electric locomotive into the environmental anomaly value judgment model to judge the environmental anomaly value; A braking safety analysis module is used to substitute the acquired braking abnormality value and environmental abnormality value into the braking safety factor calculation strategy to calculate the braking safety factor; Braking warning module, used to compare the calculated braking safety factor with the set braking safety factor threshold to provide a safety braking maintenance warning; The control module is used to control the operation of the data acquisition module, the braking abnormality analysis module, the environmental abnormality analysis module, the braking safety analysis module and the braking warning module.

8. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the electric locomotive braking control method based on environmental analysis as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the electric locomotive braking control method based on environmental analysis as described in any one of claims 1 to 6.

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