Intelligent operation and maintenance system, method, device, equipment and product for rail vehicles

Abstract

The present invention provides an intelligent operation and maintenance system, method, device, equipment and product for rail vehicles. The system includes: a vehicle-end data module, a ground-end data module, an operation and maintenance terminal and a server; the vehicle-end data module is arranged on the rail vehicle; the ground-end data module is connected to ground-end equipment on the driving route of the rail vehicle; the server is respectively connected to the vehicle-end data module, the ground-end data module and the operation and maintenance terminal to generate an operation and maintenance decision according to the data fed back by the vehicle-end data module and the ground-end data module, and send the operation and maintenance decision to the operation and maintenance terminal; wherein, the rail vehicle is an unmanned vehicle. The present invention realizes sending accurate positioning information to operation and maintenance personnel according to abnormal conditions at the vehicle end and / or the ground end, carrying out targeted repair and maintenance operations, without the need for regular comprehensive inspections, effectively promoting the intelligent level of operation and maintenance and improving the operation and maintenance efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of rail vehicles, and particularly to an intelligent operation and maintenance system, method, device, equipment and product for rail vehicles. Background Art

[0002] With the development and maturity of fully automated driverless technology and its increasingly widespread practical application, more and more driverless lines have been opened in rail transit, and new challenges and problems have gradually emerged. There are no drivers or passengers on driverless vehicles, and it is impossible to timely feedback abnormal conditions of external equipment and the environment of the vehicle through drivers or passengers. Therefore, it is impossible to achieve collaborative identification and response to abnormalities by vehicle and ground operation personnel. Summary of the Invention

[0003] The present invention provides an intelligent operation and maintenance system for rail vehicles to solve the defect in the prior art that driverless vehicles cannot timely feedback abnormal conditions of external equipment and the environment of the vehicle through drivers or passengers, and thus cannot achieve collaborative identification and response to abnormalities by vehicle and ground operation personnel. By acquiring vehicle-end data and ground-end data, the construction of a multi-dimensional external environment perception operation and maintenance system is realized, and accurate positioning information is sent to operation and maintenance personnel according to abnormal conditions at the vehicle end and / or the ground end, so as to carry out repair and maintenance operations targeted, without the need for regular comprehensive census and investigation, effectively promoting the intelligent level of operation and maintenance and improving the operation and maintenance efficiency.

[0004] The present invention also provides an operation and maintenance method for an intelligent testing system.

[0005] The present invention also provides an operation and maintenance device for intelligent testing.

[0006] The present invention also provides an electronic device.

[0007] The present invention also provides a computer program product.

[0008] An intelligent operation and maintenance system for rail vehicles according to the first aspect of the present invention includes: a vehicle-end data module, a ground-end data module, an operation and maintenance terminal, and a server;

[0009] The vehicle-end data module is arranged on the rail vehicle;

[0010] The ground-end data module is connected to ground-end equipment on the driving route of the rail vehicle;

[0011] The server is respectively connected to the vehicle-end data module, the ground-end data module, and the operation and maintenance terminal to generate an operation and maintenance decision according to the data fed back by the vehicle-end data module and the ground-end data module, and send the operation and maintenance decision to the operation and maintenance terminal;

[0012] Wherein, the rail vehicle is a driverless vehicle.

[0013] It should be noted that by setting up an intelligent operation and maintenance system formed by the vehicle - end data module, the ground - end data module, the operation and maintenance terminal, and the server, it is not necessary to separately arrange on - site operators and special detection equipment on the ground, nor to separately arrange operation time for detection operations, thus saving manpower and material resources.

[0014] Furthermore, by using multiple rail vehicles running on the line to check for abnormal conditions at the vehicle - end and ground - end, more accurate and reliable detection of abnormalities and precise positioning can be achieved. And the server can identify abnormalities and automatically generate work orders, and send them to the relevant teams in a timely manner through the operation and maintenance terminal to carry out maintenance operations.

[0015] According to an embodiment of the present invention, multiple said vehicle - end data modules and multiple said ground - end data modules are respectively connected to the server to realize simultaneous - domain data sharing between multiple said rail vehicles and multiple said ground - end devices.

[0016] Specifically, this embodiment provides an implementation method of simultaneous - domain data sharing. By connecting multiple vehicle - end data modules and multiple ground - end data modules to the server respectively, simultaneous - domain data sharing is constructed between multiple rail vehicles and multiple ground - end devices, improving the efficiency of operation and maintenance.

[0017] It should be noted that by constructing simultaneous - domain data sharing between rail vehicles and ground - end devices, more precise detection of abnormal conditions is achieved, avoiding the problems of the existing abnormal conditions that require on - site inspection by maintenance personnel, being untimely and having inaccurate abnormal - position positioning, reducing a large amount of investment in manpower and material resources, and improving work efficiency.

[0018] Furthermore, when the abnormal conditions do not affect the operation of the rail vehicles and ground - end devices, the maintenance team conducts maintenance at night. When the detection results of the abnormal conditions may affect the operation, it can ensure that the maintenance team takes corresponding emergency measures in the first time and realizes data interaction and sharing within the network, thus greatly improving the ground's all - round monitoring of the operation, timely grasping the abnormalities, improving the operation and maintenance efficiency, realizing condition - based maintenance and precise maintenance operations, reducing the dependence on manual labor, and improving the intelligent level of operation and maintenance.

[0019] According to an embodiment of the present invention, the operation and maintenance decision - making at least includes the maintenance strategies of the rail vehicles and / or the ground - end devices.

[0020] Specifically, this embodiment provides an implementation method of operation and maintenance decision - making. By putting forward the maintenance strategies of the rail vehicles and / or the ground - end devices, the operation and maintenance of the rail vehicles and ground - end devices are ensured, realizing condition - based maintenance and precise maintenance of the team's operations, improving the inspection efficiency, reducing the occupation of manpower and material resources, and reducing the total life - cycle cost of inspection and maintenance.

[0021] A maintenance method based on the above intelligent operation and maintenance system according to the second aspect of the present invention, which is applied to a server, and the method includes:

[0022] In response to an abnormal signal, obtain the vehicle-end parameters and ground-end parameters of the first rail vehicle corresponding to the abnormal area, where the abnormal area is the area along the way during the driving of the first rail vehicle, the vehicle-end parameters are the driving data of the first rail vehicle, and the ground-end parameters are the operation data of the ground equipment;

[0023] Judge according to the vehicle-end parameters and the ground-end parameters;

[0024] If it is determined that both the vehicle-end parameters and the ground-end parameters meet the normal operation threshold, it is determined that the first rail vehicle and the ground equipment meet the operation requirements;

[0025] If it is determined that at least one of the vehicle-end parameters and the ground-end parameters does not meet the normal operation threshold, generate an operation and maintenance decision.

[0026] According to an embodiment of the present invention, in the step of determining that the vehicle-end parameters do not meet the normal operation threshold, it specifically includes:

[0027] Obtain the first vehicle-end feature vector and the second vehicle-end feature vector of the first rail vehicle, where the first vehicle-end feature vector points to the normal vehicle-end parameters of the first rail vehicle corresponding to the abnormal area, and the second vehicle-end feature vector points to the abnormal vehicle-end parameters of the first rail vehicle corresponding to the abnormal area;

[0028] Determine a test area according to the first vehicle-end feature vector and the abnormal area, where during the process of the first rail vehicle passing through the test area and the abnormal area, at least the same first vehicle-end feature vector is possessed;

[0029] The first rail vehicle passes through the test area with the first vehicle-end feature vector and makes a judgment, and generates the operation and maintenance decision according to the judgment result.

[0030] Specifically, this embodiment provides an implementation manner of determining that the vehicle-end parameters do not meet the normal operation threshold. If the vehicle-end parameters do not meet the normal operation threshold, the first rail vehicle that does not meet the normal operation threshold is passed through the test area again, and according to the relevant data of the first rail vehicle after testing in the test area, an operation and maintenance decision is generated.

[0031] According to an embodiment of the present invention, in the step of the first rail vehicle passing through the test area with the first vehicle-end feature vector and making a judgment, and generating the operation and maintenance decision according to the judgment result, it specifically includes:

[0032] Obtain the third car-end feature vector of the first rail vehicle within the test area and make a judgment, where the third car-end feature vector and the second car-end feature vector point to the driving data of the same group of the first rail vehicle;

[0033] If it is determined that the third car-end feature vector meets the normal operation threshold, then generate the operation and maintenance decision according to the second car-end feature vector and the abnormal area;

[0034] If it is determined that the third car-end feature vector does not meet the normal operation threshold, then generate the operation and maintenance decision according to the second car-end feature vector, the third car-end feature vector and the abnormal area.

[0035] Specifically, this embodiment provides an implementation manner in which the first rail vehicle passes through the test area with the first car-end feature vector and makes a judgment. By obtaining the third car-end feature vector of the first rail vehicle in the test area and making a judgment according to the third car-end feature vector, the generation of the operation and maintenance decision is realized.

[0036] According to an implementation manner of the present invention, in the step of determining that the ground end parameters do not meet the normal operation threshold, it specifically includes:

[0037] Obtain the first ground end feature vector and the second ground end feature vector of the ground end device, where the first ground end feature vector points to the normal ground end parameters of the ground end device corresponding to the abnormal area, and the second ground end feature vector points to the abnormal ground end parameters of the ground end device corresponding to the abnormal area;

[0038] Obtain the operation list corresponding to the abnormal area and extract the operation feature vector in the operation list, where the operation feature vector points to N columns of second rail vehicles that have recently passed through the ground end device corresponding to the abnormal area, and N is a positive integer greater than or equal to one;

[0039] The ground end device operates with the first ground end feature vector according to the operation feature vector and makes a judgment, and generates the operation and maintenance decision according to the judgment result.

[0040] Specifically, this embodiment provides an implementation manner of determining that the ground end parameters do not meet the normal operation threshold. If the ground end parameters do not meet the normal operation threshold, then obtain the operation list, let N columns of second rail vehicles pass through the abnormal area, and the abnormal area operates with the first ground end feature vector, and make a judgment according to the result to realize the generation of the operation and maintenance decision.

[0041] According to an embodiment of the present invention, in the step where the ground equipment operates according to the operation feature vector with the first ground feature vector and makes a judgment, and generates the operation and maintenance decision according to the judgment result, it specifically includes:

[0042] Obtain the third ground feature vector of the ground equipment and make a judgment, where the third ground feature vector and the second ground feature vector point to the operation data of the same group of the ground equipment;

[0043] If it is determined that the third ground feature vector meets the normal operation threshold, then generate the operation and maintenance decision according to the second ground feature vector and the abnormal area;

[0044] If it is determined that the third ground feature vector does not meet the normal operation threshold, then generate the operation and maintenance decision according to the second ground feature vector, the third ground feature vector and the abnormal area.

[0045] Specifically, this embodiment provides an implementation manner in which the ground equipment operates according to the operation feature vector with the first ground feature vector and makes a judgment. By obtaining the third ground feature vector of the ground equipment during the driving process of the second rail vehicle in the abnormal area and making a judgment according to the third ground feature vector, the generation of the operation and maintenance decision is realized.

[0046] An operation and maintenance device of an intelligent operation and maintenance system according to a third aspect of the present invention includes: an acquisition module, a judgment module, a first confirmation module, and a second confirmation module;

[0047] The acquisition module is used to obtain the vehicle-end parameters and ground-end parameters of the first rail vehicle corresponding to the abnormal area in response to the abnormal signal, where the abnormal area is the area along the way during the driving process of the first rail vehicle, the vehicle-end parameters are the driving data of the first rail vehicle, and the ground-end parameters are the operation data of the ground equipment;

[0048] The judgment module is used to make a judgment according to the vehicle-end parameters and the ground-end parameters;

[0049] The first confirmation module is used to determine that both the vehicle-end parameters and the ground-end parameters meet the normal operation threshold, and then determine that the first rail vehicle and the ground equipment meet the operation requirements;

[0050] The second confirmation module is used to determine that at least one of the vehicle-end parameters and the ground-end parameters does not meet the normal operation threshold, and then generate the operation and maintenance decision.

[0051] An electronic device according to a fourth aspect of the present invention includes: a memory and a processor;

[0052] The memory and the processor communicate with each other via a bus;

[0053] The memory stores computer instructions that can run on the processor;

[0054] When the processor invokes the computer instructions, it can execute the operation and maintenance method of the above intelligent operation and maintenance system.

[0055] A computer program product according to a fifth aspect of the present invention includes a non-transitory machine-readable medium storing instructions, and when the instructions are executed by a processor, the steps of the operation and maintenance method of the above intelligent operation and maintenance system are implemented.

[0056] One or more of the above technical solutions in the present invention have at least one of the following technical effects: An intelligent operation and maintenance system, method, device, equipment and product for rail vehicles provided by the present invention realizes the construction of an operation and maintenance system based on multi-dimensional external environment perception through the acquisition of vehicle-end data and ground-end data, and realizes the sending of accurate positioning information to operation and maintenance personnel according to abnormal conditions at the vehicle end and / or the ground end, so as to carry out maintenance operations in a targeted manner, without the need for regular comprehensive inspections, effectively promoting the intelligent level of operation and maintenance and improving the operation and maintenance efficiency.

[0057] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0059] Figure 1 is a layout schematic diagram of the intelligent operation and maintenance system of the rail vehicle provided by the present invention;

[0060] Figure 2 is a flow schematic diagram of the operation and maintenance method of the intelligent operation and maintenance system provided by the present invention;

[0061] Figure 3 is a structural schematic diagram of the operation and maintenance device of the intelligent operation and maintenance system provided by the present invention;

[0062] Figure 4 is a structural schematic diagram of the electronic device provided by the present invention.

[0063] Reference Signs:

[0064] 10. Vehicle-end data module; 20. Ground-end data module; 30. Operation and maintenance terminal; 40. Server;

[0065] 50. Acquisition module; 60. Judgment module; 70. First confirmation module; 80. Second confirmation module;

[0066] 810. Processor; 820. Communication interface; 830. Memory; 840. Communication bus. Detailed implementation manners

[0067] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0068] The present invention will be specifically described below with reference to the accompanying drawings of the specification. The specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments. In the description of the present invention, unless otherwise specified, "at least one" includes one or more. "Multiple" means two or more. For example, at least one of A, B, and C includes: A alone, B alone, A and B existing simultaneously, A and C existing simultaneously, B and C existing simultaneously, and A, B, and C existing simultaneously. In the present invention, " / " means "or". For example, A / B may represent A or B; herein, "and / or" is merely a description of the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A existing alone, A and B existing simultaneously, and B existing alone.

[0069] The present invention will be specifically described below in combination with the specific implementation manners.

[0070] In some specific implementation solutions of the present invention, as Figure 1 shown, the present solution provides an intelligent operation and maintenance system for rail vehicles, including: a vehicle-end data module 10, a ground-end data module 20, an operation and maintenance terminal 30, and a server 40; the vehicle-end data module 10 is arranged on the rail vehicle; the ground-end data module 20 is connected to the ground equipment on the driving route of the rail vehicle; the server 40 is respectively connected to the vehicle-end data module 10, the ground-end data module 20, and the operation and maintenance terminal 30 to generate an operation and maintenance decision according to the data fed back by the vehicle-end data module 10 and the ground-end data module 20, and send the operation and maintenance decision to the operation and maintenance terminal 30; wherein, the rail vehicle is a driverless vehicle.

[0071] Specifically, the present invention provides an intelligent operation and maintenance system for rail vehicles to solve the defect in the prior art that driverless vehicles cannot timely feedback the abnormalities of external devices and the environment of the vehicle by drivers or passengers, so the collaborative identification and response to abnormalities by vehicle and ground operation personnel cannot be realized. By acquiring vehicle-end data and ground-end data, the construction of an operation and maintenance system based on multi-dimensional external environment perception is realized, and accurate positioning information is sent to operation and maintenance personnel according to the abnormalities at the vehicle end and / or the ground end, so as to carry out repair and maintenance operations targeted, without the need for regular comprehensive inspections, effectively promoting the intelligent level of operation and maintenance and improving the operation and maintenance efficiency.

[0072] It should be noted that the intelligent operation and maintenance system formed by setting the vehicle-end data module 10, the ground-end data module 20, the operation and maintenance terminal 30 and the server 40 does not require separate arrangement of operation personnel and special detection equipment on the ground and separate arrangement of operation time to carry out detection operations, saving manpower and material resources.

[0073] Furthermore, by arranging multiple rail vehicles running on the line to check the abnormalities at the vehicle end and the ground end, the abnormalities can be detected more accurately and reliably and accurately positioned, and the server 40 can identify the abnormalities and automatically generate work orders, and send them to the relevant teams in time through the operation and maintenance terminal 30 to carry out repair operations.

[0074] In some possible embodiments of the present invention, multiple vehicle-end data modules 10 and multiple ground-end data modules 20 are respectively connected to the server 40 to realize simultaneous-domain data sharing between multiple rail vehicles and multiple ground-end devices.

[0075] Specifically, this embodiment provides an implementation method of simultaneous-domain data sharing. By connecting multiple vehicle-end data modules 10 and multiple ground-end data modules 20 to the server 40 respectively, simultaneous-domain data sharing is realized between multiple rail vehicles and multiple ground-end devices, improving the operation and maintenance efficiency.

[0076] It should be noted that by constructing simultaneous-domain data sharing between rail vehicles and ground-end devices, more accurate detection of abnormal conditions is realized, avoiding the problems of untimely and inaccurate positioning of abnormal positions that need to be checked on site by maintenance personnel for existing abnormal conditions, and also reducing a large amount of investment in manpower and material resources, improving the work efficiency.

[0077] Furthermore, when the abnormal condition does not affect the operation of rail vehicles and ground equipment, the maintenance team performs maintenance at night. When the detection result of the abnormal condition has the possibility of affecting the operation, it can ensure that the maintenance team takes corresponding emergency measures at the first time and realizes data interactive sharing within the network, thereby greatly improving the ground's all-round monitoring of operations, timely grasping abnormalities, improving operation and maintenance efficiency, realizing condition-based repair and precise maintenance operations, reducing dependence on manual labor, and improving the level of intelligent operation and maintenance.

[0078] In a possible implementation manner, the abnormal conditions that may exist in the rail vehicle include: abnormal speed, abnormal acceleration, abnormal noise, abnormal vibration, abnormal radiation, abnormal communication, abnormal temperature, etc.

[0079] In possible implementations, abnormal conditions that may exist in the ground-end equipment include: foreign matter in the contact network, contact network breakage, water seepage in bridges and tunnels, collapse of bridges and tunnels, intrusion of foreign matter into the track, track breakage, falling off of locks, etc.

[0080] In one application scenario, an unmanned rail vehicle detects water seepage in a tunnel and locates the water seepage site. The information is transmitted to the server 40 in real time. After analysis and identification, the server 40 automatically generates a work order and sends it to the operation and maintenance terminal 30 of the tunnel maintenance team. The operation and maintenance team immediately initiates emergency disposal of the water-infiltrated area based on the information on the work order.

[0081] In one application scenario, an unmanned rail vehicle detects track damage, locates the damaged part of the track, and transmits the information to the server 40 in real time. After analysis and identification, the server 40 automatically generates a work order and sends it to the operation and maintenance terminal 30 of the track maintenance team, informing the team that grinding and repair are required. The team immediately prepares to organize the online grinding based on the work order information.

[0082] In an application scenario, the previous unmanned rail vehicle detects an abnormality in the contact network, and the ground-end equipment of the corresponding contact network also detects an abnormality in the contact network ahead. The corresponding abnormality information is sent to the subsequent unmanned rail vehicle through the server 40, so as to buy more time for the subsequent unmanned rail vehicle to take emergency response, thereby minimizing the impact of the abnormality on vehicle operation. At the same time, the server 40 sends the work order to the operation and maintenance terminal 30 of the contact network maintenance team, and the contact network maintenance team maintains the contact network according to the work order.

[0083] In some possible embodiments of the present invention, the operation and maintenance decision at least includes a maintenance strategy for the rail vehicle and / or the ground-end equipment.

[0084] Specifically, this embodiment provides an implementation manner of operation and maintenance decision-making. By proposing maintenance strategies for rail vehicles and / or ground equipment, the operation and maintenance of rail vehicles and ground equipment are ensured, condition-based maintenance and precision maintenance of team operations are realized, the maintenance efficiency is improved, the occupation of human and material resources is reduced, and the total life cycle cost of maintenance is reduced.

[0085] In a possible implementation manner, the line abnormal information can be integrated and managed, and other operating driverless rail vehicles can be informed to perform emergency treatment in advance, so as to gain more emergency time and reduce the impact of the abnormality on vehicle operation.

[0086] In a possible implementation manner, a 5G module is also set on the test vehicle. The on-vehicle equipment of the test vehicle and the ground equipment realize network transmission of data through the 5G module, so as to realize automatic download and processing of test data; the system can also be remotely logged in through a mobile phone or a PC terminal, which is convenient and fast.

[0087] In some specific implementation schemes of the present invention, as Figure 2 shown, this solution provides an operation and maintenance method based on the above intelligent operation and maintenance system, which is applied to the server 40. The method includes:

[0088] In response to an abnormal signal, obtain the vehicle-end parameters and ground-end parameters of the first rail vehicle corresponding to the abnormal area, where the abnormal area is the area along the way during the driving of the first rail vehicle, the vehicle-end parameters are the driving data of the first rail vehicle, and the ground-end parameters are the operation data of the ground equipment;

[0089] Judge according to the vehicle-end parameters and the ground-end parameters;

[0090] If it is determined that both the vehicle-end parameters and the ground-end parameters meet the normal operation threshold, it is determined that the first rail vehicle and the ground equipment meet the operation requirements;

[0091] If it is determined that at least one of the vehicle-end parameters and the ground-end parameters does not meet the normal operation threshold, an operation and maintenance decision is generated.

[0092] In some possible embodiments of the present invention, in the step of determining that the vehicle-end parameters do not meet the normal operation threshold, it specifically includes:

[0093] Obtain the first vehicle-end feature vector and the second vehicle-end feature vector of the first rail vehicle, where the first vehicle-end feature vector points to the normal vehicle-end parameters of the first rail vehicle corresponding to the abnormal area, and the second vehicle-end feature vector points to the abnormal vehicle-end parameters of the first rail vehicle corresponding to the abnormal area;

[0094] Determine the test area according to the first vehicle-end feature vector and the abnormal area, where during the process of the first rail vehicle passing through the test area and the abnormal area, at least the same first vehicle-end feature vector is possessed;

[0095] The first rail vehicle passes through the test area with the first car-end feature vector, makes a judgment, and generates an operation and maintenance decision based on the judgment result.

[0096] Specifically, this embodiment provides an implementation manner for determining that the car-end parameters do not meet the normal operation threshold. If the car-end parameters do not meet the normal operation threshold, the first rail vehicle that does not meet the normal operation threshold passes through the test area again, and an operation and maintenance decision is generated based on the relevant data of the first rail vehicle after testing in the test area.

[0097] In a possible implementation manner, during the driving process of the first rail vehicle on a section of line, if it is detected that the noise parameter is too large, then this line is marked as an abnormal area, the noise parameter is marked as an abnormal car-end parameter, that is, the second car-end feature vector, and the remaining driving parameters are marked as normal car-end parameters, such as speed parameter, acceleration parameter, comfort and smoothness, etc., that is, the first car-end feature vector. By comparing the first car-end feature vector and the abnormal area, a test area similar to the terrain and landform of the abnormal area, or a section of road near the abnormal area, is used as the test area. The first rail vehicle drives in the test area according to the first car-end feature vector and obtains corresponding test data to provide data support for generating the operation and maintenance decision.

[0098] In a possible implementation manner, during the driving process of the first rail vehicle on a section of line, if it is detected that the vibration parameter is too large, then this line is marked as an abnormal area, the vibration parameter is marked as an abnormal car-end parameter, that is, the second car-end feature vector, and the remaining driving parameters are marked as normal car-end parameters, such as speed parameter, acceleration parameter, comfort and smoothness, etc., that is, the first car-end feature vector. By comparing the first car-end feature vector and the abnormal area, a test area similar to the terrain and landform of the abnormal area, or a section of road near the abnormal area, is used as the test area. The first rail vehicle drives in the test area according to the first car-end feature vector and obtains corresponding test data to provide data support for generating the operation and maintenance decision.

[0099] In some possible embodiments of the present invention, in the step of the first rail vehicle passing through the test area with the first car-end feature vector, making a judgment, and generating an operation and maintenance decision based on the judgment result, it specifically includes:

[0100] Obtain the third car-end feature vector of the first rail vehicle in the test area and make a judgment, where the third car-end feature vector and the second car-end feature vector point to the same set of driving data of the first rail vehicle;

[0101] If it is determined that the third car-end feature vector meets the normal operation threshold, then generate an operation and maintenance decision based on the second car-end feature vector and the abnormal area;

[0102] If it is determined that the third car-end feature vector does not meet the normal operation threshold, an operation and maintenance decision is generated based on the second car-end feature vector, the third car-end feature vector, and the abnormal area.

[0103] Specifically, this embodiment provides an implementation manner in which a first rail vehicle passes through a test area with a first car-end feature vector and makes a judgment. By obtaining the third car-end feature vector of the first rail vehicle in the test area and making a judgment based on the third car-end feature vector, the generation of an operation and maintenance decision is realized.

[0104] In a possible implementation manner, if the third car-end feature vector meets the normal operation threshold, it indicates that the abnormal condition is related to the abnormal area and the driving data of the first rail vehicle in the abnormal area. Therefore, an operation and maintenance decision is generated based on the second car-end feature vector and the abnormal area.

[0105] In a possible implementation manner, if the third car-end feature vector does not meet the normal operation threshold, it indicates that the abnormal condition may be related to the abnormal area and the test area respectively. Therefore, an operation and maintenance decision is generated based on the second car-end feature vector, the third car-end feature vector, and the abnormal area.

[0106] In some possible embodiments of the present invention, in the step of determining that the ground end parameters do not meet the normal operation threshold, it specifically includes:

[0107] Obtain the first ground end feature vector and the second ground end feature vector of the ground end device, where the first ground end feature vector points to the normal ground end parameters of the ground end device corresponding to the abnormal area, and the second ground end feature vector points to the abnormal ground end parameters of the ground end device corresponding to the abnormal area;

[0108] Obtain the operation list corresponding to the abnormal area, and extract the operation feature vector in the operation list, where the operation feature vector points to N second rail vehicles that have recently passed through the ground end device corresponding to the abnormal area, and N is a positive integer greater than or equal to one;

[0109] The ground end device runs with the first ground end feature vector according to the operation feature vector and makes a judgment, and generates an operation and maintenance decision according to the judgment result.

[0110] Specifically, this embodiment provides an implementation manner for determining that the ground end parameters do not meet the normal operation threshold. If the ground end parameters do not meet the normal operation threshold, obtain the operation list, let N second rail vehicles pass through the abnormal area, and the abnormal area runs with the first ground end feature vector, and make a judgment according to the result to realize the generation of an operation and maintenance decision.

[0111] In a possible implementation, when the first rail vehicle detects an abnormality in the catenary line during the process of entering the platform, it marks the area where the platform is located as an abnormal area, marks the catenary operation parameters as the second ground terminal feature vector, marks the other operation parameters of the platform as the first ground terminal feature vector. By obtaining the operation list, N second rail vehicles that subsequently enter the platform are obtained. By comparing the first rail vehicle with the second rail vehicles, the second rail vehicles that match the first rail vehicle in terms of various parameters such as model, driving parameters, and passenger capacity are determined, and the matched second rail vehicles are made to pass through the corresponding platform, and the platform operates according to the second ground terminal feature vector, so as to obtain the judgment result of the operation data when the second rail vehicle passes through the platform and the first rail vehicle passes through the platform, and generate an operation and maintenance decision according to the judgment result.

[0112] In a possible implementation, when the first rail vehicle detects an abnormality in the catenary line in the tunnel during the process of entering the tunnel, it marks the area where the tunnel is located as an abnormal area, marks the catenary operation parameters as the second ground terminal feature vector, marks the other operation parameters of the tunnel as the first ground terminal feature vector. By obtaining the operation list, N second rail vehicles that subsequently enter the tunnel are obtained. By comparing the first rail vehicle with the second rail vehicles, the second rail vehicles that match the first rail vehicle in terms of various parameters such as model, driving parameters, and passenger capacity are determined, and the matched second rail vehicles are made to pass through the corresponding tunnel, and the tunnel operates according to the second ground terminal feature vector, so as to obtain the judgment result of the operation data when the second rail vehicle passes through the tunnel and the first rail vehicle passes through the tunnel, and generate an operation and maintenance decision according to the judgment result.

[0113] In some possible embodiments of the present invention, in the step where the ground terminal device operates according to the first ground terminal feature vector according to the operation feature vector, makes a judgment, and generates an operation and maintenance decision according to the judgment result, it specifically includes:

[0114] Obtain the third ground terminal feature vector of the ground terminal device and make a judgment, where the third ground terminal feature vector and the second ground terminal feature vector point to the operation data of the same group of the ground terminal device;

[0115] If it is determined that the third ground terminal feature vector meets the normal operation threshold, an operation and maintenance decision is generated according to the second ground terminal feature vector and the abnormal area;

[0116] If it is determined that the third ground terminal feature vector does not meet the normal operation threshold, an operation and maintenance decision is generated according to the second ground terminal feature vector, the third ground terminal feature vector and the abnormal area.

[0117] Specifically, this embodiment provides an implementation manner in which the ground device operates according to the first ground feature vector based on the operation feature vector and makes a judgment. By obtaining the third ground feature vector of the ground device during the driving process of the second rail vehicle in the abnormal area and making a judgment based on the third ground feature vector, the generation of the operation and maintenance decision is realized.

[0118] In a possible implementation manner, if the third ground feature vector meets the normal operation threshold, it indicates that the abnormal condition is related to the abnormal area and the driving data of the first rail vehicle in the abnormal area. Therefore, the operation and maintenance decision is generated according to the second ground feature vector and the abnormal area.

[0119] In a possible implementation manner, if the third ground feature vector does not meet the normal operation threshold, it indicates that the abnormal condition may be related to the first rail vehicle and the second rail vehicle respectively. Therefore, the operation and maintenance decision is generated according to the second ground feature vector, the third ground feature vector and the abnormal area.

[0120] In some specific implementation schemes of the present invention, as Figure 3 shown, this solution provides an operation and maintenance device for an intelligent operation and maintenance system, including: an acquisition module 50, a judgment module 60, a first confirmation module 70 and a second confirmation module 80;

[0121] The acquisition module 50 is used to obtain the vehicle-end parameters and ground-end parameters of the first rail vehicle corresponding to the abnormal area in response to the abnormal signal. Among them, the abnormal area is the area along the way during the driving process of the first rail vehicle, the vehicle-end parameters are the driving data of the first rail vehicle, and the ground-end parameters are the operation data of the ground device;

[0122] The judgment module 60 is used to make a judgment according to the vehicle-end parameters and the ground-end parameters;

[0123] The first confirmation module 70 is used to determine that both the vehicle-end parameters and the ground-end parameters meet the normal operation threshold, and then determine that the first rail vehicle and the ground device meet the operation requirements;

[0124] The second confirmation module 80 is used to determine that at least one of the vehicle-end parameters and the ground-end parameters does not meet the normal operation threshold, and then generate an operation and maintenance decision.

[0125] Figure 4 Illustrates a schematic diagram of the physical structure of an electronic device, as Figure 4As shown in the figure, the electronic device may include: a processor 810, a communications interface 820, a memory 830, and a communication bus 840. Among them, the processor 810, the communications interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logical instructions in the memory 830 to execute the operation and maintenance method of the intelligent operation and maintenance system.

[0126] It should be noted that the electronic device in this embodiment may be a server, a PC, or other devices when specifically implemented, as long as its structure includes a processor 810, a communications interface 820, a memory 830, and a communication bus 840 as shown in the figure. Among them, the processor 810, the communications interface 820, and the memory 830 communicate with each other through the communication bus 840, and the processor 810 may call the logical instructions in the memory 830 to execute the above method. The specific implementation form of the electronic device in this embodiment is not limited. Figure 4

[0127] Among them, the server may be a single server or a server group. The server group may be centralized or distributed (for example, the server may be a distributed system). In some embodiments, the server may be local or remote relative to the terminal. For example, the server may access information stored in a user terminal, a database, or any combination thereof via a network. As another example, the server may be directly connected to at least one of the user terminal and the database to access the information and / or data stored therein. In some embodiments, the server may be implemented on a cloud platform; only as an example, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, etc., or any combination thereof. In some embodiments, the server and the user terminal may be implemented on an electronic device having one or more components in the embodiments of the present invention.

[0128] Further, the network can be used for the exchange of information and / or data. In some embodiments, one or more components in the interaction scenario (e.g., servers, user terminals, and databases) can send information and / or data to other components. In some embodiments, the network can be any type of wired or wireless network, or a combination thereof. By way of example only, the network can include a wired network, a wireless network, an optical fiber network, a telecommunications network, an intranet, the Internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a Public Switched Telephone Network (PSTN), a Bluetooth network, a ZigBee network, or a Near Field Communication (NFC) network, etc., or any combination thereof. In some embodiments, the network can include one or more network access points. For example, the network can include wired or wireless network access points, such as base stations and / or network switching nodes, through which one or more components of the interaction scenario can be connected to the network to exchange data and / or information.

[0129] In addition, when the logical instructions in the above-mentioned memory 830 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., which can store program codes.

[0130] In a possible implementation manner, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is configured to execute the operation and maintenance method of the intelligent operation and maintenance system provided in the above-mentioned embodiments.

[0131] In a possible implementation manner, an embodiment of the present invention further provides a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided in the above method embodiments.

[0132] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0133] Through the description of the above implementation manners, those skilled in the art can clearly understand that each implementation manner can be realized by means of software plus a necessary general hardware platform, and of course, it can also be realized by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiments.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or equivalently replace some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An operation and maintenance method for an intelligent operation and maintenance system of a rail vehicle, characterized in that The system includes: a vehicle - end data module (10), a ground - end data module (20), an operation and maintenance terminal (30), and a server (40); the vehicle - end data module (10) is arranged on the rail vehicle; the ground - end data module (20) is connected to the ground equipment on the driving route of the rail vehicle; the server (40) is respectively connected to the vehicle - end data module (10), the ground - end data module (20), and the operation and maintenance terminal (30) to generate an operation and maintenance decision according to the data fed back by the vehicle - end data module (10) and the ground - end data module (20), and send the operation and maintenance decision to the operation and maintenance terminal (30); wherein, the rail vehicle is a driverless vehicle; The method includes: being applied to the server (40); In response to an abnormal signal, obtain the vehicle - end parameters and ground - end parameters of the first rail vehicle corresponding to the abnormal area, where the abnormal area is the area along the driving route of the first rail vehicle, the vehicle - end parameters are the driving data of the first rail vehicle, and the ground - end parameters are the operation data of the ground equipment; Make a judgment according to the vehicle - end parameters and the ground - end parameters; If it is determined that both the vehicle - end parameters and the ground - end parameters meet the normal operation threshold, then it is determined that the first rail vehicle and the ground equipment meet the operation requirements; If it is determined that at least one of the vehicle - end parameters and the ground - end parameters does not meet the normal operation threshold, then generate an operation and maintenance decision; In the step of determining that the vehicle - end parameters do not meet the normal operation threshold, it specifically includes: Obtain the first vehicle - end feature vector and the second vehicle - end feature vector of the first rail vehicle, where the first vehicle - end feature vector points to the normal vehicle - end parameters of the first rail vehicle corresponding to the abnormal area, and the second vehicle - end feature vector points to the abnormal vehicle - end parameters of the first rail vehicle corresponding to the abnormal area; Determine the test area according to the first vehicle - end feature vector and the abnormal area, where during the process of the first rail vehicle passing through the test area and the abnormal area, at least the same first vehicle - end feature vector is possessed; The first rail vehicle passes through the test area with the first vehicle - end feature vector and makes a judgment, and generates the operation and maintenance decision according to the judgment result; And / or, in the step of determining that the ground - end parameters do not meet the normal operation threshold, it specifically includes: Obtain the first ground - end feature vector and the second ground - end feature vector of the ground equipment, where the first ground - end feature vector points to the normal ground - end parameters of the ground equipment corresponding to the abnormal area, and the second ground - end feature vector points to the abnormal ground - end parameters of the ground equipment corresponding to the abnormal area; Obtain the operation list corresponding to the abnormal area, and extract the operation feature vector in the operation list, where the operation feature vector points to N second rail vehicles that have recently passed through the ground equipment corresponding to the abnormal area, and N is a positive integer greater than or equal to one; The ground equipment operates with the first ground - end feature vector according to the operation feature vector and makes a judgment, and generates the operation and maintenance decision according to the judgment result.

2. The operation and maintenance method of the intelligent operation and maintenance system for rail vehicles according to claim 1, characterized in that A plurality of the vehicle-end data modules (10) and a plurality of the ground-end data modules (20) are respectively connected to the server (40) to realize simultaneous domain data sharing between multiple trains of rail vehicles and multiple ground-end devices.

3. The operation and maintenance method of the intelligent operation and maintenance system for rail vehicles according to claim 1, characterized in that, The operation and maintenance decision at least includes the maintenance strategy of the rail vehicle and / or the ground-end device.

4. The operation and maintenance method of the intelligent operation and maintenance system for rail vehicles according to any one of claims 1 to 3, characterized in that In the step of the first rail vehicle passing through the test area with the first vehicle-end feature vector and making a judgment, and generating the operation and maintenance decision according to the judgment result, it specifically includes: Obtaining a third vehicle-end feature vector of the first rail vehicle in the test area and making a judgment, where the third vehicle-end feature vector and the second vehicle-end feature vector point to the same set of running data of the first rail vehicle; Determining that the third vehicle-end feature vector meets the normal operation threshold, and generating the operation and maintenance decision according to the second vehicle-end feature vector and the abnormal area; Determining that the third vehicle-end feature vector does not meet the normal operation threshold, and generating the operation and maintenance decision according to the second vehicle-end feature vector, the third vehicle-end feature vector and the abnormal area.

5. The operation and maintenance method of the intelligent operation and maintenance system of the rail vehicle according to any one of claims 1 to 3, characterized in that, In the step of the ground-end device running with the first ground-end feature vector according to the running feature vector and making a judgment, and generating the operation and maintenance decision according to the judgment result, it specifically includes: Obtaining a third ground-end feature vector of the ground-end device and making a judgment, where the third ground-end feature vector and the second ground-end feature vector point to the same set of running data of the ground-end device; Determining that the third ground-end feature vector meets the normal operation threshold, and generating the operation and maintenance decision according to the second ground-end feature vector and the abnormal area; Determining that the third ground-end feature vector does not meet the normal operation threshold, and generating the operation and maintenance decision according to the second ground-end feature vector, the third ground-end feature vector and the abnormal area.

6. An operation and maintenance device for an intelligent operation and maintenance system of a rail vehicle, characterized in that, The system includes: a vehicle-end data module (10), a ground-end data module (20), an operation and maintenance terminal (30) and a server (40); the vehicle-end data module (10) is arranged on a rail vehicle; the ground-end data module (20) is connected to a ground-end device on the driving route of the rail vehicle; the server (40) is respectively connected to the vehicle-end data module (10), the ground-end data module (20) and the operation and maintenance terminal (30) to realize generating an operation and maintenance decision according to the data fed back by the vehicle-end data module (10) and the ground-end data module (20), and sending the operation and maintenance decision to the operation and maintenance terminal (30); wherein, the rail vehicle is an unmanned vehicle; The device includes: an acquisition module (50), a judgment module (60), a first confirmation module (70) and a second confirmation module (80); The acquisition module (50) is configured to obtain vehicle-end parameters and ground-end parameters corresponding to an abnormal area of a first rail vehicle in response to an abnormal signal, where the abnormal area is an area along the driving route of the first rail vehicle, the vehicle-end parameters are the running data of the first rail vehicle, and the ground-end parameters are the running data of the ground-end device; The judgment module (60) is configured to make a judgment based on the vehicle-end parameters and the ground-end parameters; The first confirmation module (70) is configured to determine that both the vehicle-end parameters and the ground-end parameters meet the normal operation threshold, and then determine that the first rail vehicle and the ground-end device meet the operation requirements; The second confirmation module (80) is configured to determine that at least one of the vehicle-end parameters and the ground-end parameters does not meet the normal operation threshold, and then generate an operation and maintenance decision; In the step of determining that the vehicle-end parameters do not meet the normal operation threshold, it specifically includes: Obtain a first vehicle-end feature vector and a second vehicle-end feature vector of the first rail vehicle, where the first vehicle-end feature vector points to the normal vehicle-end parameters of the first rail vehicle corresponding to the abnormal area, and the second vehicle-end feature vector points to the abnormal vehicle-end parameters of the first rail vehicle corresponding to the abnormal area; Determine a test area according to the first vehicle-end feature vector and the abnormal area, where during the process that the first rail vehicle passes through the test area and the abnormal area, at least the same first vehicle-end feature vector is possessed; The first rail vehicle passes through the test area with the first vehicle-end feature vector and makes a judgment, and generates the operation and maintenance decision according to the judgment result; And / or, in the step of determining that the ground-end parameters do not meet the normal operation threshold, it specifically includes: Obtain a first ground-end feature vector and a second ground-end feature vector of the ground-end device, where the first ground-end feature vector points to the normal ground-end parameters of the ground-end device corresponding to the abnormal area, and the second ground-end feature vector points to the abnormal ground-end parameters of the ground-end device corresponding to the abnormal area; Obtain an operation list corresponding to the abnormal area, and extract an operation feature vector in the operation list, where the operation feature vector points to N second rail vehicles that have recently passed through the ground-end device corresponding to the abnormal area, and N is a positive integer greater than or equal to one; The ground-end device operates with the first ground-end feature vector according to the operation feature vector and makes a judgment, and generates the operation and maintenance decision according to the judgment result.

7. An electronic device, characterized in that, It includes: A memory (830) and a processor (810); The memory (830) and the processor (810) complete communication with each other through a bus; The memory (830) stores computer instructions that can run on the processor (810); When the processor (810) calls the computer instructions, it can execute the operation and maintenance method of the intelligent operation and maintenance system according to any one of claims 1 to 5 above.

8. A computer program product, comprising a non-transitory machine-readable medium storing instructions, characterized in that, When the instructions are executed by the processor (810), the steps of the operation and maintenance method of the intelligent operation and maintenance system according to any one of claims 1 to 5 above are implemented.

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