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

Abstract

The present invention belongs to the technical field of train track maintenance, and discloses an intelligent operation and maintenance method and system for urban rail transit vehicles. The operation and maintenance method includes: obtaining the vehicle bill of materials, building a maintenance unit based on the bill of materials; performing structured conversion on the vehicle data to generate a data message, publishing the data message to the track maintenance equipment to generate a rail vehicle maintenance task; performing fault supervision on the executed rail vehicle maintenance task, integrating the maintenance task and the generated data of the fault supervision, performing vehicle health status assessment and planning vehicle maintenance cycle. The present invention performs early item point fusion and data fusion on the vehicle monitoring data on the production side to realize vehicle health management. 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 achieved, and the vehicle position, track status, maintenance progress, etc. are friendly interacted through the 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 operations and maintenance is growing. Traditional vehicle operations and maintenance methods often suffer from issues such as a lack of comprehensive understanding of vehicle health status, difficulty integrating and integrating monitoring and inspection data, and an inability to track the maintenance process. Therefore, developing an intelligent operations and maintenance system that integrates vehicle health status and vehicle operation plans, and utilizes advanced scheduling algorithms and digital twin technology for dynamic vehicle maintenance and visual control, is crucial for improving vehicle operations and maintenance efficiency and ensuring maintenance safety.

[0003] Existing technologies integrate onboard, trackside, and maintenance-related data on vehicle operations and maintenance through nested subsystems to understand the real-time status of vehicles and assist in operational decision-making. However, these systems suffer from inconsistent page styles, unfriendly interactions, and a lack of effective data integration and utilization. Other solutions collect onboard, trackside, and maintenance-related data to form a data platform, then present test results, alarm data, and statistical data through web visualization. While this data can be deeply utilized for comprehensive vehicle analysis, it is presented in a table format, which is not intuitive, has multiple 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] To solve the above technical problems, the present invention provides an intelligent operation and maintenance method for urban rail transit vehicles, comprising:

[0006] Obtain vehicle bill of materials and build maintenance units based on the bill of materials;

[0007] Carry out structured conversion of vehicle data to generate data messages, publish the data messages to track maintenance equipment for pre-binding; and import maintenance unit data into track maintenance equipment to generate rail vehicle maintenance tasks;

[0008] Conduct fault monitoring for rail vehicle maintenance tasks, including manual and machine detection. When reporting faults, check the vehicle configurations of manual and machine detection. If they are different, perform data conversion and data cleaning. If they are the same, perform data fusion.

[0009] Integrate maintenance tasks and fault monitoring data to assess vehicle health status and plan vehicle maintenance cycles.

[0010] As an optional method, the maintenance unit includes a name, a number, a component hierarchy, an explicit attribute definition, and an implicit attribute definition.

[0011] As an optional method, the vehicle data is structured and converted into data packets, including:

[0012] 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.

[0013] As an optional method, the position hierarchy includes at most 5 layers, and the position options of any layer of its vehicle configuration are associated and spliced to obtain the unique position of the current vehicle configuration, and then determine the configuration instance.

[0014] As an optional method, track maintenance equipment includes trackside inspection equipment and in-depot inspection robots.

[0015] As an optional method, 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 can be integrated and analyzed through the configuration component dimension.

[0016] As an optional approach, planning vehicle maintenance cycles also includes:

[0017] Combining the daily maintenance cycle of the vehicle's daily operation plan, vehicle delivery and receipt plan, vehicle mileage, and vehicle detention status, 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.

[0018] On the other hand, the present invention also provides an urban rail transit vehicle intelligent operation and maintenance system for executing the above-mentioned urban rail transit vehicle intelligent operation and maintenance method, including a management side and a production side;

[0019] The management side includes structured process management module, planning management module, resource management module and quality management module; among them,

[0020] The structured process management module is used to unify the data dimensions of vehicle configurations, processes, and items;

[0021] The planning management module is used to manage maintenance procedures and operating instructions;

[0022] The resource management module is used to manage material requirements, turnover parts, process equipment, tools and personnel qualifications;

[0023] The quality management module is used to record working hours and energy consumption;

[0024] The production side includes health management module, smart diagnosis module, maintenance plan module, smart scheduling module, operation and maintenance control module, manual inspection / mechanical inspection process module, and digital twin visualization module; among them,

[0025] The health management module is used to complete vehicle and / or trackside and / or process equipment inspections and then form a maintenance plan in conjunction with the intelligent diagnosis module;

[0026] 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, the information is recorded through the operation and maintenance control module and the manual inspection / mechanical inspection process module and stored in the quality management module.

[0027] The digital twin visualization module is used to visualize the maintenance process and maintenance data.

[0028] As an optional method, items include visual inspection, auditory inspection, measurement and test records; when setting items, they are classified into manual inspection items and machine inspection items; manual inspection items use the AR individual system to record and guide the inspection process, and machine inspection items are inspected through trackside inspection equipment and in-depot inspection robots.

[0029] 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.

[0030] The beneficial effects of the present invention are:

[0031] This invention integrates structured process management, planning management, resource management, and quality management to achieve vehicle health management by integrating early-stage item points and data from vehicle inspection data on the production side. After the vehicle returns to the depot, advanced scheduling inputs, such as maintenance plans and resource requirements, enable intelligent operation and maintenance scheduling. High-quality vehicle maintenance is achieved through human-machine integration, and digital twin visualization plans provide friendly interaction with vehicle location, track status, and maintenance progress. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] 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;

[0033] Figure 2 A schematic diagram of a vehicle intelligent operation and maintenance function module provided by an embodiment of the present invention;

[0034] Figure 3This is a data fusion logic diagram based on vehicle configuration provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] See also Figure 1 and Figure 2 This embodiment discloses an intelligent operation and maintenance method for urban rail transit vehicles, including: obtaining a vehicle bill of materials, building a maintenance unit based on the bill of materials; performing a 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, and 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 maintenance task and the generated data of fault supervision, performing vehicle health status assessment and planning vehicle maintenance cycles. 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;

[0037] The management side includes a structured process management module, a planning 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 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 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.

[0038] 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 Materials. This embodiment uses the BOM to realize the information transmission of equipment throughout its life cycle and organizes and constructs maintenance process elements based on the BOM. The vehicle delivery BOM that the vehicle depot usually obtains from the main engine manufacturer 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 supervision and inspection is constructed to unify the objects of human and machine maintenance, maintenance procedures, work steps, and maintenance standards.

[0039] Specifically, when conducting intelligent operation and maintenance management, the maintenance unit is first constructed, and the maintenance unit is constructed through a tree-like relationship structure. The principle is to construct inspection items of different precisions based on 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, which mainly includes: configuration ID, configuration unique code, configuration full spelling name, configuration name, configuration current level, position level x value range, and supports up to 5 layers of position information. Associating and splicing each layer of position options will obtain a unique position, and the configuration instance can be determined.

[0040] See also Figure 3 , Figure 3 This is the data fusion logic diagram for this embodiment based on vehicle configuration. After obtaining the vehicle configuration, it is converted into JSON format data. Item coverage is sorted using the item sorting app, templates are drawn using CV template software, and item calibration and binding are performed using LPT calibration software. The data is then sent to machine maintenance (machine inspection) for coordination with manual maintenance (human inspection) for fault reporting. Based on the current vehicle configuration, the original maintenance process is decomposed and entered, and item optimization is performed.

[0041] 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.

[0042] In terms of manual inspection and maintenance, when reporting a fault, the system selects and reports 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, so that the manual inspection data and the machine inspection data can be on the same latitude.

[0043] 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 fault reporting, review and backfilling, etc., so that the vehicle components can be integrated with the machine and manual inspection data. For example, the machine inspection and measurement dimensional data of the wheel and the manual inspection and measurement dimensional data can be directly integrated, analyzed and compared, eliminating the need for additional data conversion and cleaning, greatly improving the availability and accuracy of the data. If the same vehicle component is inspected by different equipment, the full amount of machine inspection and manual inspection data can be comprehensively diagnosed and analyzed through the dimension of the configuration component, overcoming the limitation that a single device can only diagnose through some of the inspection points of the component. The comprehensive full amount of relevant component data can be used to conduct more scientific data analysis and maintenance recommendation decisions.

[0044] When monitoring and evaluating vehicle health, the system uses collected operational data, combined with process knowledge and pre-set assessment models, to conduct real-time monitoring and assessment of the vehicle's health. Through data analysis, the system accurately identifies potential vehicle failures and provides corresponding fault warning information, including information on the mileage limit and the estimated time point when a component's lifespan will reach its limit.

[0045] On the other hand, this embodiment includes the following method when dynamically inspecting a vehicle based on the inspection plan and the vehicle status:

[0046] The system plans a weekly vehicle maintenance plan based on the vehicle depot's maintenance procedures and operating 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.

[0047] The weekly plan is a preliminary plan. The daily vehicle operation plan needs to consider more influencing factors, including the need to arrange for review and processing of on-board and trackside monitoring and alarm information, and the need to consider the tiered operation of vehicle mileage.

[0048] Based on the vehicle weekly plan and vehicle health status monitoring results, the system uses the OptaPlanner advanced scheduling algorithm, combined with various constraints such as the daily maintenance execution cycle in the vehicle daily operation plan, the vehicle reception and dispatching plan, the vehicle mileage, and the vehicle detention status. Through modeling and solving, the system obtains the solution that meets the constraints and has the highest score, assisting the site dispatcher to achieve better coordinated scheduling and improve the overall vehicle operation and maintenance efficiency.

[0049] 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.

[0050] In some feasible scenarios, vehicle maintenance items are usually divided into visual, auditory, measurement, test recording, etc. Trackside + in-depot inspection robots can completely replace visual items and some measurement items. These items are classified as machine inspections, accounting for more than 80%. With the help of the above-mentioned structured process knowledge fusion technology, initial inspections at the trackside and re-inspections by in-depot inspection robots can be achieved, thus replacing temporary manual review tasks and improving overall efficiency. The remaining 20% of items are inspected by humans. The system uses an AR single-soldier system to achieve full-process video recording of the human inspection part and voice interactive guidance and filling of items. The backfill data uses structured process knowledge fusion technology to make the combination of human and machine inspection more scientific and maximize the value of data utilization.

[0051] Furthermore, this embodiment also enables visual management and control of vehicle maintenance based on digital twins. Specifically, digital twin technology is used to build a virtual model of the vehicle, enabling visual management and control of the vehicle maintenance process. By synchronizing the vehicle's actual operating data and maintenance data in real time, the system can simulate the vehicle maintenance process in a virtual environment. Dispatchers can intuitively understand maintenance progress and problem diagnosis information through a virtual interface, allowing for remote monitoring and command. At the same time, the system can also optimize and improve maintenance processes and procedures based on data feedback during the maintenance process, thereby improving maintenance efficiency and quality.

[0052] As an optional approach, 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:

[0053] 1. By modeling the vehicle base's buildings, vehicles, personnel, process equipment, etc.

[0054] 2. Use the self-developed scene editor to build scenes, including device layout, etc.

[0055] 3. Manage and maintain twin basic data.

[0056] 4. Drive the twins by fusing data to achieve two-way linkage in three-dimensional scenes.

[0057] Through the above solution, this embodiment achieves intelligent, efficient, and visual vehicle maintenance by combining process knowledge, status data, and twin model-driven systems. This system not only connects the inspection data output by monitoring equipment with the operational data of maintenance teams based on standardized configuration processes, but also develops optimal maintenance plans based on vehicle operation plans and health status, and enables visual management and control of the maintenance process through digital twin technology. This not only improves maintenance efficiency and quality, but also significantly reduces safety risks during vehicle operation and maintenance.

[0058] The above are merely preferred embodiments of the present invention. It should be noted that the above preferred embodiments should not be construed as limiting the present invention, and the scope of protection of the present invention should be determined by the scope defined in the claims. Persons skilled in the art will appreciate that improvements and modifications may be made without departing from the spirit and scope of the present invention, and such improvements and modifications should also be considered within the scope of protection 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 through a tree-like relationship structure; Car data is structured and converted into data messages. After item coverage is sorted out, templates are drawn for them. After item calibration and binding, the maintenance unit data is imported into the track maintenance equipment to generate rail vehicle maintenance tasks. Based on the current vehicle configuration, the original maintenance process is decomposed and entered, and the item points are optimized. Perform fault monitoring on the rail vehicle maintenance tasks being performed, including manual and machine detection. When reporting a fault, detect the vehicle configurations of both the manual and machine detections. If they are of different configurations, perform data conversion and data cleaning. If they are of the same configuration, perform data fusion. Comprehensive maintenance tasks and fault monitoring data are used to evaluate vehicle health status and plan vehicle maintenance cycles; The structured conversion of the vehicle data to generate a 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 position level. The position level includes at most 5 layers. The position options of any layer of the vehicle configuration are associated and spliced to obtain the unique position of the current vehicle configuration and then determine the configuration instance.

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 track maintenance equipment includes trackside detection equipment and in-depot inspection robots.

4. 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 will be integrated and analyzed through the configuration component dimension.

5. 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: Combining the daily maintenance cycle of the vehicle's daily operation plan, vehicle delivery and receipt plan, vehicle mileage, and vehicle detention status, 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.

6. An intelligent operation and maintenance system for urban rail transit vehicles, used to execute the method according to any one of claims 1 to 5, 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 items; 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 conjunction with the smart diagnosis module after completing vehicle and / or trackside and / or process equipment inspections; The maintenance planning 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 module and stored in the quality management module; The digital twin visualization module is used to visualize the maintenance process and maintenance data.

7. The intelligent operation and maintenance system for urban rail transit vehicles according to claim 6, 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 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.

8. The intelligent operation and maintenance system for urban rail transit vehicles according to claim 7, 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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