Vehicle operation and maintenance management method, system and equipment

Abstract

The embodiment of the invention provides a vehicle operation and maintenance management method, system and device. The method comprises the following steps: acquiring vehicle driving information from a vehicle sensor and a vehicle-mounted control system, wherein the vehicle driving information represents real-time data of a vehicle in a running process; obtaining section field environment information from a section field monitoring system and a maintenance system, wherein the section field environment information represents environment resource data in a section field; acquiring line state information from a line communication system and an operation scheduling system, wherein the line state information represents operation data on a vehicle driving line; and determining vehicle fault information according to the vehicle driving information, the field environment information and the line state information. The method is used for improving the maintenance efficiency of the vehicle.

Description

Technical Field

[0001] The present application relates to the field of traffic information, and in particular to a vehicle operation and maintenance management method, system and equipment. Background Art

[0002] In order to realize the intelligent management upgrade of subway operation and maintenance, information construction has become an important part of subway development.

[0003] In terms of subway vehicle fault detection, relevant technologies perform subway vehicle fault detection based on the maintenance experience of maintenance personnel and the unified standards of locomotives.

[0004] According to the above analysis, when using relevant technologies to detect subway vehicle faults, due to the lack of data analysis of the entire scene of subway vehicles, subway vehicle fault detection can only be performed based on partial unified standard data, resulting in large errors in subway vehicle fault detection, thus affecting the maintenance efficiency of the vehicle. Therefore, improving the maintenance efficiency of vehicles through information construction has become an urgent problem to be solved. Summary of the invention

[0005] The embodiments of the present application provide a vehicle operation and maintenance management method, system and device to improve the maintenance efficiency of the vehicle.

[0006] In a first aspect, an embodiment of the present application provides a vehicle operation and maintenance management method, including:

[0007] Acquiring vehicle driving information from vehicle sensors and vehicle-mounted control systems, wherein the vehicle driving information represents real-time data of the vehicle during operation;

[0008] Acquire the field environment information from the field monitoring system and the maintenance system, wherein the field environment information represents various environmental resource data in the field;

[0009] Acquiring line status information from a line communication system and an operation dispatching system, wherein the line status information represents operation data on a vehicle travel line;

[0010] The vehicle fault information is determined according to the vehicle driving information, the section environment information, and the line status information.

[0011] In a possible implementation manner, determining the vehicle fault information according to the vehicle driving information, the segment environment information, and the line status information includes:

[0012] Whether the vehicle has a fault is predicted based on the vehicle driving information, the field environment information, and the line status information.

[0013] In a possible implementation manner, predicting whether the vehicle has a fault based on the vehicle driving information, the segment environment information, and the line status information includes:

[0014] The vehicle driving information, the segment environment information, and the line status information are input into the vehicle PHM model, and the vehicle PHM model outputs fault prediction information.

[0015] In a possible implementation manner, determining the vehicle fault information according to the vehicle driving information, the segment environment information, and the line status information includes:

[0016] The fault information and / or fault handling information of the vehicle are collected from the vehicle driving information, the segment environment information, and the line status information.

[0017] In a possible implementation manner, the collecting statistics of the fault information and / or fault handling information of the vehicle from the vehicle driving information, the segment environment information, and the line status information includes:

[0018] The target fault indicated by the fault information is analyzed based on a fault tree algorithm to obtain a fault tree of the target fault.

[0019] In a possible implementation, the method further includes:

[0020] Collecting statistics on historical parameters related to the fault indicated by the fault information; and

[0021] In response to the parameter viewing instruction, a parameter variation curve associated with the fault of at least one vehicle is displayed.

[0022] In a possible implementation, the method further includes:

[0023] Recording the faults indicated by the fault information according to multiple dimensions; and

[0024] In response to a fault view instruction, the fault information of the vehicle is displayed according to the dimension indicated by the fault view instruction.

[0025] In a possible implementation, the dimensions include one or more of the following:

[0026] Route, vehicle type, vehicle number, system to which the fault belongs, fault level, fault resolution status, fault location, and start time period.

[0027] In a second aspect, an embodiment of the present application provides a vehicle operation and maintenance management system, including:

[0028] A vehicle driving information detection module is used to obtain vehicle driving information from vehicle sensors and vehicle-mounted control systems, wherein the vehicle driving information represents real-time data of the vehicle during operation;

[0029] A section yard environment information detection module is used to obtain section yard environment information from a section yard monitoring system and a maintenance system, wherein the section yard environment information represents various environmental resource data within the section yard;

[0030] A line status information detection module is used to obtain line status information from a line communication system and an operation dispatching system, wherein the line status information represents operation data on a vehicle driving line;

[0031] A fault detection module is used to receive the vehicle driving information sent by the vehicle driving information detection module, the segment field environment information sent by the segment field environment information detection module, and the line status information sent by the line status information detection module, and determine the vehicle fault information according to the vehicle driving information, the segment field environment information and the line status information.

[0032] In a third aspect, an embodiment of the present application provides a vehicle operation and maintenance management device, including: a memory, a processor;

[0033] The memory stores computer-executable instructions;

[0034] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0036] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0037] The vehicle operation and maintenance management method, system and equipment provided in the embodiments of the present application obtain full-scene information including vehicle driving information, section environment information, and line status information, and use digital information technology to analyze the obtained full-scene information to determine the vehicle's fault information, thereby improving the vehicle's maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] Figure 1 A flow chart of a vehicle operation and maintenance management method provided in an embodiment of the present application;

[0040] Figure 2 A schematic diagram of the structure of a vehicle operation and maintenance management system provided in an embodiment of the present application;

[0041] Figure 3 A schematic diagram of the structure of the vehicle operation and maintenance management device provided in an embodiment of the present application.

[0042] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0043] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0044] First, the terms involved in this application are explained:

[0045] DCC: The full name is Data Center Cockpit, which refers to the data center cockpit and is a non-intrusive network monitoring system.

[0046] PHM: The full name is Prognostics and Health Management, which refers to fault prediction and health management. It aims to achieve the transition from sensor-based diagnosis to intelligent system-based prediction by monitoring, predicting and managing the health status of equipment.

[0047] The application scenario of this application may be: when maintaining and managing urban subway vehicles, in order to ensure the safe and stable operation of subway vehicles, it is necessary to predict possible faults that may occur during the operation of subway vehicles and analyze historical fault data to prevent new faults.

[0048] The related art performs subway vehicle fault detection based on the unified standard of locomotives according to the experience of maintenance personnel. The analysis data used in the subway vehicle fault detection based on the unified standard of locomotives only includes part of the data of the subway vehicle and cannot fully reflect the real state of the subway vehicle.

[0049] With the development and application of digital information in the field of urban rail, a large amount of information data for subway vehicles has been generated. For example, the full-scene monitoring function of DCC, the technology of multi-professional data fusion, and intelligent crew management have been widely used in subway operations and passenger flow management, and a large amount of data has been accumulated. Related technologies have not fully utilized these useful data.

[0050] In combination with the above scenarios, it can be seen that in the existing technology, due to the lack of data analysis of the entire scene of subway vehicles, fault detection of subway vehicles can only be performed based on data of some unified standards. Therefore, there are technical problems such as large errors in fault detection of subway vehicles and impact on vehicle maintenance efficiency.

[0051] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. For the convenience of description, the vehicle described below refers specifically to a subway vehicle. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0052] The execution subject of the embodiment of the present application may be a subway vehicle operation and maintenance system, which collects various information from sensors, vehicle control systems, and line monitoring systems on the vehicle, and analyzes key data and status information of the vehicle. The execution subject of the embodiment of the present application may also be other devices or systems that can obtain relevant data and store and analyze the obtained data, and the present application does not limit this.

[0053] Figure 1 A flow chart of the vehicle operation and maintenance management method provided in the embodiment of the present application is as follows: Figure 1 As shown, the method includes:

[0054] S101. Acquire vehicle driving information from vehicle sensors and a vehicle-mounted control system, where the vehicle driving information represents real-time data of the vehicle during operation.

[0055] It should be noted that vehicle sensors may include sensors installed on the vehicle or sensors installed on the vehicle trackside equipment (equipment installed next to the track). Sensors may include temperature sensors, pressure sensors, acceleration sensors, and other sensors. These sensors are used to collect various driving information of the vehicle in real time, and upload the data to the data storage system wirelessly or wiredly for real-time or non-real-time data analysis.

[0056] The on-board control system (full name: Train Control and Management System, TCMS) is the core control system for train operation. It is responsible for processing and distributing various internal and external data during train operation. It connects the various subsystems of the train (such as traction system, auxiliary system, braking system, air conditioning system, etc.) through the network to achieve communication and information sharing.

[0057] As an example, vehicle driving information may include key vehicle data, such as vehicle number, current station, next station, terminal, up and down directions, operating mode, driving mode, cumulative mileage, and cumulative energy consumption.

[0058] As an example, vehicle driving information may also include status information of various vehicle systems, such as door system information, driver's cab activation information, traction / auxiliary system information, full load factor of the braking system, cabin air conditioning temperature and working status of the air-conditioning system, network system information, running gear information, fireworks alarm system information, pantograph status of the pantograph-network detection system, and air compressor information.

[0059] S102, obtaining the section yard environmental information from the section yard monitoring system and the maintenance system, where the section yard environmental information represents various environmental resource data within the section yard.

[0060] It should be noted that the section yard monitoring system and the maintenance system use a variety of equipment installed in the section yard to collect and monitor the section yard environment information in the section yard. These equipment may include monitoring equipment and sensor equipment. In addition, the section yard maintenance system can also receive maintenance information on the vehicle input or collected by the maintenance personnel.

[0061] As an example, the section yard environment information from the section yard monitoring system may include: section yard track board information, such as the track power supply status, platform usage status, section yard process equipment / trackside equipment operation status and occupancy status, personnel trajectory, section yard area division; section yard operation status, such as construction operation statistics and progress tracking information within the section yard.

[0062] As an example, the yard environment information from the maintenance system may include: yard track board information, such as the maintenance type, maintenance team, and maintenance personnel displayed when the train is hovering; plan execution status, such as the fulfillment of various maintenance plans; maintenance personnel status, such as staffing status, on-the-job status, and foreman information.

[0063] S103: Acquire line status information from the line communication system and the operation dispatching system, where the line status information represents the operation data on the vehicle driving line.

[0064] It should be noted that the communication system includes the communication system of the train and / or ground equipment (such as trackside equipment). The operation dispatching system obtains the dispatching information of the train by combining with the vehicle sensors and the vehicle control system.

[0065] As an example, the route status information may include: vehicle route map, dynamic display information of running vehicles, spare vehicles, cumulative mileage of vehicle operation, cumulative energy consumption of vehicle operation, and passenger flow information.

[0066] S104. Determine vehicle fault information based on vehicle driving information, field environment information, and line status information.

[0067] It should be noted that a variety of information including vehicle driving information, field environment information, and line status information together constitute the full-scene information for analyzing vehicle fault information. Here, the execution subject is the subway vehicle operation and maintenance system for explanation. The subway vehicle operation and maintenance system interacts with the systems or devices that obtain the above information through wireless or wired networks, receives full-scene information from multiple systems or devices in real time, and saves the data to local or remote storage devices, and performs data statistics and analysis regularly or irregularly, thereby determining the vehicle's fault information.

[0068] The vehicle operation and maintenance management method provided in this embodiment obtains full-scene information including vehicle driving information, field environment information, and line status information, and uses digital information technology to analyze the obtained full-scene information to determine the vehicle's fault information, thereby improving the vehicle's maintenance efficiency.

[0069] In some specific implementations, determining vehicle fault information based on vehicle driving information, field environment information, and line status information may include predicting vehicle faults, and / or analyzing and processing vehicle faults that have occurred, thereby reducing the occurrence of vehicle faults.

[0070] As an example, determining vehicle fault information based on vehicle driving information, field environment information, and line status information includes:

[0071] Based on the vehicle driving information, field environment information, and line status information, predict whether the vehicle will fail.

[0072] Specifically, based on the vehicle driving information, field environment information, and line status information, predict whether the vehicle has a fault, including:

[0073] The vehicle driving information, field environment information, and line status information are input into the vehicle PHM model, and the vehicle PHM model outputs fault prediction information.

[0074] It should be noted that the above vehicle PHM model is a pre-trained model. The training data set used for model training is a plurality of training data consisting of historically preserved vehicle driving information, segment environment information, and line status information. These training data include data collected when the vehicle is in normal operation and data collected when the vehicle fails. The training goal of the model is to enable the trained PHM model to learn the relationship between the normal operation state and the fault state of the vehicle.

[0075] The model outputs the vehicle's health status assessment results, which include: vehicle normal status, vehicle warning status, and vehicle fault status.

[0076] The algorithms used for model training can include commonly used machine learning algorithms (such as random forest algorithm, support vector machine algorithm) and deep learning algorithms (such as long short-term memory network algorithm, convolutional neural network algorithm).

[0077] In the fault prediction stage, input data consisting of the currently acquired vehicle driving information, field environment information, and line status information is input into the pre-trained vehicle PHM model. The pre-trained vehicle PHM model outputs the vehicle health status assessment result for the input data, and the vehicle health status assessment result is the fault prediction information.

[0078] The output fault prediction information can provide auxiliary information for maintenance personnel to carry out advance maintenance and repair work for possible vehicle and / or line faults, so as to ensure that the vehicle's mechanical system, electronic system, etc. are in a safe working state, so as to ensure that the vehicle can operate safely and stably.

[0079] As an example, determining vehicle fault information based on vehicle driving information, field environment information, and line status information includes:

[0080] The vehicle fault information and / or fault handling information are collected from the vehicle driving information, the section environment information, and the line status information.

[0081] Specifically, the vehicle fault information and / or fault handling information is collected from the vehicle driving information, the section environment information, and the line status information, including:

[0082] The target fault indicated by the fault information is analyzed based on the fault tree algorithm to obtain the fault tree of the target fault.

[0083] It should be noted that the fault tree of the target fault may include one or more layers of factors that may cause the target fault, including hardware failure, human error, and environmental factors, etc. The fault tree algorithm for analyzing fault information may be different for different fault analysis scenarios.

[0084] The obtained fault tree can be used for deductive analysis and thus for fault diagnosis.

[0085] In addition, the above target faults can be detected by various methods. As an example, vehicle fault detection can use a threshold comparison algorithm to perform data analysis, such as comparing the temperature, pressure, operating current and other data obtained by the sensor with their respective preset value ranges to analyze the vehicle fault factors.

[0086] As an example, line fault detection can use a standard value comparison algorithm to perform data analysis, such as comparing the time point when the signal system obtains data with a preset time point to analyze signal failure or delay.

[0087] As an example, information system fault detection can use a data integrity check algorithm to perform data analysis, such as using the checksum of a data packet to determine whether there is loss or transmission error during information transmission.

[0088] A large amount of useful vehicle fault information is obtained through full-scenario data analysis. This information can be counted in different statistical methods, and the statistical results of this information can be displayed to users to facilitate subsequent fault handling or research and analysis.

[0089] In some embodiments, the method further comprises:

[0090] Counting historical parameters related to the fault indicated by the fault information; and displaying a parameter change curve related to the fault of at least one vehicle in response to a parameter viewing instruction.

[0091] In some embodiments, the method further comprises:

[0092] Recording the fault indicated by the fault information according to multiple dimensions; and in response to the fault viewing instruction, displaying the fault information of the vehicle according to the dimensions indicated by the fault viewing instruction. The dimensions include one or more of the following:

[0093] Route, vehicle type, vehicle number, system to which the fault belongs, fault level, fault resolution status, fault location, and start time period.

[0094] Specifically, the acquired vehicle fault information of different dimensions may be displayed in the form of a list, a pie chart, a bar chart, or an Excel report. Other data display methods are also applicable to the technical solution of the present application, and the present application does not limit this.

[0095] In these implementations, data processing results are intuitively displayed using curves, icons, text, etc., thereby improving the processing efficiency of fault information.

[0096] Figure 2 A schematic diagram of the structure of the vehicle operation and maintenance management system provided in the embodiment of the present application, such as Figure 2 As shown, the vehicle operation and maintenance management system 20 provided in this embodiment includes:

[0097] The vehicle driving information detection module 201 is used to obtain the vehicle driving information from the vehicle sensor and the vehicle control system, and the vehicle driving information represents the real-time data of the vehicle during operation;

[0098] The field environment information detection module 202 is used to obtain field environment information from the field monitoring system and the maintenance system. The field environment information represents various environmental resource data in the field;

[0099] The line status information detection module 203 is used to obtain line status information from the line communication system and the operation dispatching system, and the line status information represents the operation data on the vehicle driving line;

[0100] The fault detection module 204 is used to receive the vehicle driving information sent by the vehicle driving information detection module, the section field environment information sent by the section field environment information detection module, and the line status information sent by the line status information detection module, and determine the vehicle fault information based on the vehicle driving information, the section field environment information and the line status information.

[0101] In a specific implementation, the fault detection module 204 is also used to predict whether a vehicle fault occurs based on vehicle driving information, field environment information, and line status information.

[0102] In some implementations of this embodiment, the fault detection module 204 is further used to input vehicle driving information, segment environment information, and line status information into the vehicle PHM model, and the vehicle PHM model outputs fault prediction information.

[0103] In some implementations of this embodiment, the fault detection module 204 is also used to collect statistics on vehicle fault information and / or fault handling information from vehicle driving information, field environment information, and line status information.

[0104] In some implementations of this embodiment, the fault detection module 204 is further configured to analyze the target fault indicated by the fault information based on a fault tree algorithm to obtain a fault tree of the target fault.

[0105] In some implementations of this embodiment, the vehicle operation and maintenance management system 20 further includes:

[0106] The display module is used to count historical parameters related to the fault indicated by the fault information; and in response to the parameter viewing instruction, display a parameter change curve related to the fault of at least one vehicle.

[0107] In some implementations of this embodiment, the display module is also used to record the faults indicated by the fault information according to multiple dimensions; and in response to a fault view instruction, display the fault information of the vehicle according to the dimensions indicated by the fault view instruction.

[0108] In some implementations of this embodiment, the dimensions used by the display module include one or more of the following:

[0109] Route, vehicle type, vehicle number, system to which the fault belongs, fault level, fault resolution status, fault location, and start time period.

[0110] The vehicle operation and maintenance management system provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and this embodiment will not be repeated here.

[0111] Figure 3 This is a schematic diagram of the structure of the vehicle operation and maintenance management device provided in the embodiment of the present application. Figure 3 As shown, the electronic device 30 provided in this embodiment includes: at least one processor 301 and a memory 302. Optionally, the device 30 also includes a communication component 303. The processor 301, the memory 302 and the communication component 303 are connected via a bus 304.

[0112] In a specific implementation process, at least one processor 301 executes the computer-executable instructions stored in the memory 302, so that at least one processor 301 executes the above method.

[0113] The specific implementation process of the processor 301 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0114] In the above embodiments, it should be understood that the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the invention can be directly implemented as a hardware processor, or can be implemented by a combination of hardware and software modules in the processor.

[0115] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0116] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0117] The present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0118] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0119] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0120] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0121] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0122] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0123] 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.

[0124] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, 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. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0125] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0126] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A vehicle operation and maintenance management method, comprising: Acquiring vehicle driving information from vehicle sensors and vehicle-mounted control systems, wherein the vehicle driving information represents real-time data of the vehicle during operation; Acquire the field environment information from the field monitoring system and the maintenance system, wherein the field environment information represents various environmental resource data in the field; Acquiring line status information from a line communication system and an operation dispatching system, wherein the line status information represents operation data on a vehicle travel line; The vehicle fault information is determined according to the vehicle driving information, the section environment information, and the line status information.

2. The method according to claim 1, characterized in that The determining of vehicle fault information according to the vehicle driving information, the segment environment information, and the line status information includes: Whether the vehicle has a fault is predicted based on the vehicle driving information, the field environment information, and the line status information.

3. The method according to claim 2, characterized in that The predicting whether the vehicle has a fault according to the vehicle driving information, the segment environment information, and the line status information includes: The vehicle driving information, the segment environment information, and the line status information are input into the vehicle PHM model, and the vehicle PHM model outputs fault prediction information.

4. The method according to claim 1, characterized in that The determining of vehicle fault information according to the vehicle driving information, the segment environment information, and the line status information includes: The fault information and / or fault handling information of the vehicle are collected from the vehicle driving information, the segment environment information, and the line status information.

5. The method according to claim 4, characterized in that The collecting of statistics of the fault information and / or fault handling information of the vehicle from the vehicle driving information, the segment environment information, and the line status information includes: The target fault indicated by the fault information is analyzed based on a fault tree algorithm to obtain a fault tree of the target fault.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Collecting statistics on historical parameters related to the fault indicated by the fault information; and In response to the parameter viewing instruction, a parameter variation curve associated with the fault of at least one vehicle is displayed.

7. The method according to claim 4 or 5, characterized in that: The method further comprises: Recording the faults indicated by the fault information according to multiple dimensions; and In response to a fault view instruction, the fault information of the vehicle is displayed according to the dimension indicated by the fault view instruction.

8. The method according to claim 7, characterized in that The dimensions include one or more of the following: Route, vehicle type, vehicle number, system to which the fault belongs, fault level, fault resolution status, fault location, and start time period.

9. A vehicle operation and maintenance management system, characterized in that: include: A vehicle driving information detection module is used to obtain vehicle driving information from vehicle sensors and vehicle-mounted control systems, wherein the vehicle driving information represents real-time data of the vehicle during operation; A section yard environment information detection module is used to obtain section yard environment information from a section yard monitoring system and a maintenance system, wherein the section yard environment information represents various environmental resource data within the section yard; A line status information detection module is used to obtain line status information from a line communication system and an operation dispatching system, wherein the line status information represents operation data on a vehicle driving line; A fault detection module is used to receive the vehicle driving information sent by the vehicle driving information detection module, the segment field environment information sent by the segment field environment information detection module, and the line status information sent by the line status information detection module, and determine the vehicle fault information according to the vehicle driving information, the segment field environment information and the line status information.

10. A vehicle operation and maintenance management device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed by a processor.

12. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 8 when being executed by a processor.

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