Intelligent operation and maintenance method and system for urban rail transit vehicle

Abstract

The invention belongs to the technical field of train rail maintenance, and discloses an intelligent operation and maintenance method and system for an urban rail transit vehicle. The operation and maintenance method comprises the steps of obtaining a vehicle bill of material, and constructing a maintenance unit based on the bill of material; performing structured conversion on the vehicle data to generate a data message, and issuing the data message to rail maintenance equipment to generate a rail vehicle maintenance task; and performing fault supervision on the executed railway vehicle maintenance task, performing vehicle health state evaluation and planning a vehicle maintenance period by integrating the maintenance task and the fault supervision generation data. According to the invention, early-stage item point fusion and data fusion are carried out on the vehicle monitoring data of the production side, and vehicle health management is realized. After the vehicle returns to the garage, an overhaul plan, resource requirements and the like are input through advanced scheduling, intelligent operation and maintenance scheduling is achieved, high-quality overhaul of the vehicle is achieved under man-machine combined detection, and friendly interaction is conducted on the vehicle position, the station track state, the overhaul progress and the like through a digital twin visualization plan.

Description

Technical Field

[0001] The present invention belongs to the technical field of train track maintenance, and in particular, relates to an intelligent operation and maintenance method and system for urban rail transit vehicles. Background Art

[0002] With the rapid development of urban rail transit, the demand for intelligent and efficient vehicle operation and maintenance is increasing. Traditional vehicle operation and maintenance methods often have problems such as the inability to fully grasp the health status of the vehicle, the difficulty in integrating monitoring and inspection data, and the inability to track the maintenance process. Therefore, developing an intelligent operation and maintenance system that can combine the health status of the vehicle and the vehicle operation plan, and use advanced scheduling algorithms and digital twin technology to perform dynamic vehicle maintenance and visual control is of great significance to improving vehicle operation and maintenance efficiency and ensuring maintenance safety.

[0003] The existing technology integrates vehicle-mounted, trackside, and maintenance-related data on vehicle operation and maintenance by nesting subsystems to grasp the real-time status of the vehicle and assist in operation and maintenance decision-making. It has the disadvantages of inconsistent page style, unfriendly interaction, and data not actually being connected and utilized. Other solutions collect relevant data such as vehicle-mounted, trackside, and maintenance to form a data platform, and then present the test result data, alarm data, statistical data, etc. through web visualization. Although the data can be used in depth for comprehensive vehicle analysis, the data is displayed in the form of a form, which cannot be presented intuitively, has many pages, and is unfriendly to interact with. Summary of the invention

[0004] In view of this, the present invention provides an intelligent operation and maintenance method and system for urban rail transit vehicles to solve the above problems.

[0005] In order to solve the above technical problems, the present invention provides an intelligent operation and maintenance method for urban rail transit vehicles, comprising: Obtain vehicle bill of materials and build maintenance units based on the bill of materials; Carry out structured conversion of vehicle data to generate data messages, publish the data messages to the track maintenance equipment for pre-binding; and import the maintenance unit data into the track maintenance equipment to generate rail vehicle maintenance tasks; Conduct fault monitoring for the rail vehicle maintenance tasks being performed, including manual and machine detection; when reporting faults, detect the vehicle configurations of manual and machine detection. If they are not of the same configuration, perform data conversion and data cleaning; if they are of the same configuration, perform data fusion; The data generated by comprehensive maintenance tasks and fault monitoring are used to assess the vehicle health status and plan the vehicle maintenance cycle.

[0006] As an optional method, the maintenance unit includes a name, a number, a component hierarchy, an explicit attribute definition, and an implicit attribute definition.

[0007] As an optional method, the vehicle data is structured and converted into a data message, including: The vehicle configuration structured data is exported to form a JSON data message, which includes the configuration ID, configuration unique code, configuration full spelling, configuration name and location level.

[0008] As an optional method, the position level includes at most 5 layers, and any layer of position options of its vehicle configuration are associated and spliced ​​to obtain the unique position of the current vehicle configuration, and then determine the configuration instance.

[0009] As an optional method, track maintenance equipment includes trackside inspection equipment and in-depot inspection robots.

[0010] As an optional method, when conducting machine inspection, if there are multiple different devices to inspect the same part of the vehicle, the full amount of machine inspection and manual inspection data can be integrated and analyzed through the configuration component dimension.

[0011] As an optional approach, planning vehicle maintenance cycles also includes: Based on the daily maintenance cycle of the vehicle's daily operation plan, the vehicle's sending and receiving plan, the vehicle's mileage, and the vehicle's detention status, constraints are imposed. A vehicle periodic maintenance model is constructed to score the vehicle inspection cycles that meet the constraints, and the vehicle maintenance cycle with the highest score is called for coordinated scheduling.

[0012] On the other hand, the present invention also provides an intelligent operation and maintenance system for urban rail transit vehicles, which is used to execute the above-mentioned intelligent operation and maintenance method for urban rail transit vehicles, including a management side and a production side; The management side includes structured process management module, planning management module, resource management module and quality management module; among them, The structured process management module is used to unify the data dimensions of vehicle configuration, processes and items; The planning management module is used to manage maintenance procedures and operating instructions; The resource management module is used to manage material requirements, turnover parts, process equipment, tools and personnel qualifications; The quality management module is used to record working hours and energy consumption; The production side includes health management module, intelligent diagnosis module, maintenance plan module, intelligent scheduling module, operation and maintenance control module, manual inspection / mechanical inspection process module, and digital twin visualization module; among them, The health management module is used to form a maintenance plan after completing the inspection of vehicles and / or trackside and / or process equipment in combination with the intelligent diagnosis module; The maintenance plan module is configured with maintenance requirements of different dimensions, which are coordinated with the intelligent scheduling module through advanced scheduling algorithms; after scheduling, they are recorded through the operation and maintenance control module and the manual inspection / mechanical inspection process module and stored in the quality management module; The digital twin visualization module is used to visualize the maintenance process and maintenance data.

[0013] As an optional method, the items include visual, auditory, measurement and test records; when setting the items, they are classified into manual inspection items and machine inspection items; the manual inspection items use the AR individual system to record and guide the inspection process, and the machine inspection items are inspected by trackside inspection equipment and in-warehouse inspection robots.

[0014] As an optional method, the structured process management module integrates the items based on vehicle configuration and process, sets vehicle inspection items and trackside inspection items, and makes requirements for maintenance plans based on the preset rules of the health management module, which include track demand plan, power supply demand plan, facility demand plan, equipment demand plan, personnel demand plan and material demand plan.

[0015] The beneficial effects of the present invention are: The present invention realizes vehicle health management by integrating the vehicle inspection data of the production side in the early stage through structured process management, planning management, resource management, quality management, etc. After the vehicle returns to the warehouse, the maintenance plan, resource requirements, etc. are input through advanced scheduling to realize intelligent operation and maintenance scheduling. Under the combined detection of man and machine, high-quality vehicle maintenance is realized, and the vehicle location, track status, maintenance progress, etc. are interactively displayed through the digital twin visualization plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of the process flow of a vehicle intelligent operation and maintenance method provided by an embodiment of the present invention; Figure 2 A schematic diagram of a vehicle intelligent operation and maintenance function module provided by an embodiment of the present invention; Figure 3 A data fusion logic diagram based on vehicle configuration provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below in conjunction with specific implementation methods.

[0018] See also Figure 1 and Figure 2, this embodiment discloses an intelligent operation and maintenance method for urban rail transit vehicles, including: obtaining the vehicle bill of materials, building a maintenance unit based on the bill of materials; performing structured conversion on vehicle data to generate a data message, publishing the data message to the track maintenance equipment for pre-binding; and importing the maintenance unit data into the track maintenance equipment to generate a rail vehicle maintenance task; performing fault supervision on the executed rail vehicle maintenance task, and the fault supervision includes manual detection and machine detection; when reporting a fault, detecting the vehicle configuration of manual detection and machine detection, if they do not belong to the same configuration, performing data conversion and data cleaning; if they belong to the same configuration, performing data fusion; integrating the generated data of the maintenance task and fault supervision, evaluating the vehicle health status and planning the vehicle maintenance cycle. And an intelligent operation and maintenance system for urban rail transit vehicles, used to execute the above-mentioned intelligent operation and maintenance method for urban rail transit vehicles, including a management side and a production side; The management side includes a structured process management module, a plan management module, a resource management module and a quality management module; among them, the structured process management module is used to unify the data dimensions of vehicle configuration, processes and items; the plan management module is used to manage maintenance procedures and operating instructions; the resource management module is used to manage material requirements, circulating parts, process equipment, tools and personnel qualifications; the quality management module is used to record working hours and energy consumption; the production side includes a health management module, an intelligent diagnosis module, a maintenance plan module, an intelligent scheduling module, an operation and maintenance control module, a manual inspection / mechanical inspection process flow module, and a digital twin visualization module; among them, the health management module is used to form a maintenance plan after completing the inspection of vehicles and / or trackside and / or process equipment in combination with the intelligent diagnosis module; the maintenance plan module is configured with maintenance requirements of different dimensions, which are coordinated with the intelligent scheduling module through advanced scheduling algorithms; after scheduling, they are recorded through the operation and maintenance control module and the manual inspection / mechanical inspection process flow module and stored in the quality management module; the digital twin visualization module is used to visualize the maintenance process and maintenance data.

[0019] In this embodiment, the purpose of the structured process management module is to take into account that the core of vehicle maintenance and repair is based on the vehicle's BOM, that is, the bill of material. This embodiment realizes the information transmission of equipment throughout its life cycle based on BOM, and constructs maintenance process elements based on BOM organization. The vehicle delivery BOM that the vehicle depot usually obtains from the OEM is often a simple paper bill of materials. During the vehicle operation, maintenance and repair period, it is necessary to construct a maintenance BOM based on the delivery BOM combined with maintenance capabilities and management accuracy. Therefore, around the maintenance BOM, a structured process integrating monitoring and inspection is constructed to unify the objects of human-machine maintenance, maintenance procedures, work steps, and maintenance standards.

[0020] Specifically, when conducting intelligent operation and maintenance management, the maintenance unit is first constructed. The maintenance unit is constructed through a tree-like relationship structure. The principle is to construct inspection items of different precisions with reasonable human-machine inspection capabilities. The information of the maintenance unit includes the name, number, hierarchical relationship between components, and explicit and implicit attribute definitions. The subsequent application of structured technology in vehicle inspection includes exporting the vehicle configuration structured data into a JSON data message through the system, mainly including: configuration ID, configuration unique code, configuration full spelling name, configuration name, configuration current level, position level x value range, supporting up to 5 layers of position information, associating and splicing each layer of position options to obtain a unique position, and then the configuration instance can be determined.

[0021] See also Figure 3 , Figure 3 This is the data fusion logic diagram based on vehicle configuration in this embodiment. After obtaining the vehicle configuration, it is transformed into JSON format data, and the item coverage is sorted through the item sorting APP, the template is drawn through the CV template software, and the item calibration and binding are performed through the LPT calibration software. Then it is sent to the machine maintenance (machine inspection) to cooperate with the manual maintenance (human inspection) for fault reporting. Based on the current vehicle configuration, the original maintenance process is selected and decomposed and entered, and the item points are optimized.

[0022] In this way, the JSON file is published to the trackside inspection equipment, in-depot inspection robot equipment, etc. for pre-binding, so that the data reported by each inspection equipment itself has a corresponding relationship with the vehicle configuration tree of the vehicle intelligent operation and maintenance system, making it possible to connect the machine inspection data with the human inspection and vehicle operation data.

[0023] In terms of manual maintenance, when reporting a fault, selection and reporting are made based on the vehicle configuration information and its location range information provided by the system, so that the reported information is bound to the corresponding vehicle configuration, allowing manual inspection data and machine inspection data to be on the same latitude.

[0024] The structured process management module uses unified configuration components for the machine inspection data of onboard, trackside, and inspection robots, as well as the objects of manual inspection and reporting of faults, review and backfilling, etc., so that the machine inspection and manual inspection data of vehicle components can be integrated. For example, the machine inspection measurement and dimensional data of wheels and the manual inspection measurement and dimensional data can be directly integrated, analyzed and compared, without the need for additional data conversion and cleaning work, which greatly improves the availability and accuracy of data. If the same vehicle component is machine inspected by different equipment, the full amount of machine inspection and manual inspection data can be comprehensively diagnosed and analyzed through the latitude of configuration components to solve the limitation that a single device can only diagnose through some of the inspection items of the component. The comprehensive full amount of relevant data of the component can be used to make more scientific data analysis and maintenance recommendation decisions.

[0025] When monitoring and evaluating the health status of the vehicle, the system monitors and evaluates the health status of the vehicle in real time based on the collected vehicle operation data, combined with process knowledge and preset evaluation models. Through data analysis, the system can accurately identify potential vehicle faults and provide corresponding fault warning information, including the mileage limit of the component life and the estimated time node of the limit.

[0026] On the other hand, when the vehicle is dynamically inspected based on the inspection plan and the vehicle status, the present embodiment includes the following method: The system plans the vehicle maintenance weekly plan according to the vehicle depot maintenance procedures and operation instructions, including the maintenance procedures that need to be performed on each vehicle every day, whether the vehicle needs to be washed, the route number table to be executed, and other information.

[0027] The weekly plan is a preliminary plan. The daily vehicle operation plan needs to consider more influencing factors, including the on-board and trackside monitoring and alarm information, which need to be reviewed and processed, and the vehicle mileage needs to be considered in a step-by-step manner.

[0028] Based on the vehicle weekly plan and vehicle health status monitoring results, the system uses the OptaPlanner advanced scheduling algorithm, combined with the daily maintenance execution cycle in the vehicle daily operation plan, the vehicle receiving and dispatching plan, the vehicle mileage, the vehicle detention status and other constraints, and obtains the solution that meets the constraints and has the highest score through modeling and solving, assisting the site dispatcher to achieve better coordinated scheduling and improve the overall vehicle operation and maintenance efficiency.

[0029] At the vehicle maintenance execution level, combined with resource management, such as automatically associating the materials and process equipment required for the maintenance process, one-click application can be made to improve the efficiency of business process flow.

[0030] In some feasible scenarios, vehicle maintenance items are usually divided into visual, auditory, measurement, test records, etc. Trackside + in-depot inspection robots can completely replace visual items and some measurement items. These items are divided into machine inspections, accounting for more than 80%. With the help of the above-mentioned structured process knowledge fusion technology, initial inspections on the trackside and re-inspections by in-depot inspection robots can be achieved, thereby replacing temporary manual review tasks and improving overall efficiency. The remaining 20% ​​of the items are human inspections. The system uses an AR single-soldier system to achieve full-process video recording of the human inspection part and voice interactive guidance and reporting of the items. The backfill data uses structured process knowledge fusion technology to make the combination of human and machine maintenance more scientific and maximize the value of data utilization.

[0031] Furthermore, this embodiment also provides visual management and control of vehicle maintenance based on digital twins. Specifically, a virtual model of the vehicle is established using digital twin technology to achieve visual management and control of the vehicle maintenance process. By synchronizing the actual operating data and maintenance data of the vehicle in real time, the system can simulate the vehicle maintenance process in a virtual environment. Dispatchers can intuitively understand the maintenance progress and problem diagnosis information through the virtual interface, thereby conducting remote monitoring and command. At the same time, the system can also optimize and improve the maintenance process and procedures based on data feedback during the maintenance process, thereby improving maintenance efficiency and quality.

[0032] As an optional method, this embodiment designs and develops a scene editor based on modeling tools and the ThreeJS 3D rendering library on the web, and implements digital twin-based vehicle maintenance visualization management and control through the following paths: 1. By modeling the buildings, vehicles, personnel, process equipment, etc. of the vehicle base.

[0033] 2. Use the self-developed scene editor to build scenes, including equipment layout, etc.

[0034] 3. Manage and maintain twin basic data.

[0035] 4. Drive the twins by fusing data to achieve two-way linkage in three-dimensional scenes.

[0036] Through the above scheme, this embodiment realizes the intelligent, efficient and visualized vehicle maintenance by combining process knowledge, status data and twin model drive. The system can not only connect the detection data output by the monitoring and inspection equipment with the application data of the team maintenance based on the standardized configuration process, but also formulate the optimal maintenance plan according to the vehicle operation plan and health status, and realize the visual control of the maintenance process through digital twin technology. This can not only improve the efficiency and quality of maintenance, but also greatly reduce the safety risks in the vehicle operation and maintenance process.

[0037] The above are only preferred embodiments of the present invention. It should be noted that the above preferred embodiments should not be regarded as limiting the present invention, and the protection scope of the present invention should be based on the scope defined by the claims. For ordinary technicians in this technical field, several improvements and modifications can be made without departing from the spirit and scope of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. An intelligent operation and maintenance method for urban rail transit vehicles, characterized in that: include: Obtaining a vehicle bill of materials, and constructing a maintenance unit based on the bill of materials; Performing structured conversion on vehicle data to generate data messages, and publishing the data messages to track maintenance equipment for pre-binding; and importing the maintenance unit data into the track maintenance equipment to generate a rail vehicle maintenance task; Perform fault monitoring on the rail vehicle maintenance tasks being performed, the fault monitoring includes manual detection and machine detection; when reporting faults, detect the vehicle configurations of manual detection and machine detection, if they are not of the same configuration, perform data conversion and data cleaning; if they are of the same configuration, perform data fusion; The data generated by comprehensive maintenance tasks and fault monitoring are used to assess the vehicle health status and plan the vehicle maintenance cycle.

2. The intelligent operation and maintenance method for urban rail transit vehicles according to claim 1, characterized in that: The maintenance unit includes a name, a number, a component hierarchy, an explicit attribute definition, and an implicit attribute definition.

3. The intelligent operation and maintenance method for urban rail transit vehicles according to claim 1, characterized in that: The step of converting the vehicle data into a structured data message includes: The vehicle configuration structured data is exported to form a JSON data message, which includes the configuration id, configuration unique code, configuration full spelling, configuration name and location level.

4. The intelligent operation and maintenance method for urban rail transit vehicles according to claim 3 is characterized in that: The position hierarchy includes at most 5 layers, and after associating and splicing the position options of any layer of the vehicle configuration, obtaining the unique position of the current vehicle configuration, the configuration instance is determined.

5. The intelligent operation and maintenance method for urban rail transit vehicles according to claim 1, characterized in that: The track maintenance equipment includes trackside detection equipment and in-depot inspection robots.

6. The intelligent operation and maintenance method for urban rail transit vehicles according to claim 1, characterized in that: When conducting machine inspection, if the same vehicle component is inspected by multiple different devices, the full amount of machine inspection and manual inspection data is integrated and analyzed through the configuration component dimension.

7. The intelligent operation and maintenance method for urban rail transit vehicles according to claim 1, characterized in that: The planning of vehicle maintenance cycle also includes: Based on the daily maintenance cycle of the vehicle's daily operation plan, the vehicle's sending and receiving plan, the vehicle's mileage, and the vehicle's detention status, constraints are imposed. A vehicle periodic maintenance model is constructed to score the vehicle inspection cycles that meet the constraints, and the vehicle maintenance cycle with the highest score is called for coordinated scheduling.

8. An intelligent operation and maintenance system for urban rail transit vehicles, used to execute the method described in any one of claims 1 to 7, characterized in that: Including management side and production side; The management side includes a structured process management module, a planning management module, a resource management module and a quality management module; wherein, The structured process management module is used to unify the data dimensions of vehicle configuration, process and item points; The plan management module is used to manage maintenance procedures and operating instructions; The resource management module is used to manage material requirements, turnover parts, process equipment, tools and personnel qualifications; The quality management module is used to record working hours and energy consumption; The production side includes a health management module, a smart diagnosis module, a maintenance plan module, a smart scheduling module, an operation and maintenance control module, a manual inspection / mechanical inspection process module, and a digital twin visualization module; wherein, The health management module is used to form a maintenance plan in combination with the smart diagnosis module after completing the vehicle and / or trackside and / or process equipment inspection; The maintenance plan module is configured with maintenance requirements of different dimensions, which is coordinated with the intelligent scheduling module through an advanced scheduling algorithm; after scheduling, it is recorded through the operation and maintenance control module and the manual inspection / mechanical inspection process flow module and stored in the quality management module; The digital twin visualization module is used to visualize the maintenance process and maintenance data.

9. The intelligent operation and maintenance system for urban rail transit vehicles according to claim 8, characterized in that: The items include visual, auditory, measurement and test records; when setting the items, the items are classified into manual inspection items and machine inspection items; the manual inspection items record and guide the inspection process through the AR individual system, and the machine inspection items are inspected by trackside inspection equipment and in-warehouse inspection robots.

10. The intelligent operation and maintenance system for urban rail transit vehicles according to claim 8, characterized in that: The structured process management module integrates the items based on the vehicle configuration and process, sets vehicle inspection items and trackside inspection items, and makes requirements for maintenance plans based on the preset rules of the health management module, which include track demand plan, power supply demand plan, facility demand plan, equipment demand plan, personnel demand plan and material demand plan.

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