PMS management method and system for intelligent wheel set maintenance workshop

By introducing distributed data acquisition and intelligent scheduling algorithms into the wheelset maintenance workshop and establishing a twin model, full-process digital management has been achieved, solving the problem of low efficiency in traditional wheelset maintenance workshops and improving production efficiency and management level.

CN120894014APending Publication Date: 2025-11-04ZKFC (BEIJING) INTELLIGENT SYST TECH CO LTD
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Patent Information

Application Number
CN202511190169.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-25
Publication Date
2025-11-04

AI Technical Summary

Technical Problem

Traditional wheelset repair workshops rely on manual operation, which is inefficient, prone to errors, and difficult to trace, and cannot achieve digitalization, intelligence and standardization.

Method used

Production task data is acquired through distributed data acquisition devices, a twin model is established to achieve full-process digital management, the optimal production scheduling plan is automatically generated using intelligent scheduling algorithms, and comprehensive simulation and evaluation are conducted in conjunction with an intelligent data center to optimize the production process.

Benefits of technology

It has achieved unmanned maintenance operations, automated equipment operation, information-based production scheduling, and digitalized material management, thereby improving production efficiency and management level, and ensuring real-time monitoring and safety.

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Abstract

The invention relates to the technical field related to intelligent wheel set maintenance, and discloses a PMS management method and system for an intelligent wheel set maintenance workshop, which realizes full-process digitization of maintenance operation, equipment operation, production scheduling and material management through mutual collaborative design of digital processes, and further can realize full-process management through an intelligent scheduling algorithm. The optimal production scheduling scheme is automatically generated to improve the production efficiency, and meanwhile, full-digital information records can achieve the purposes of monitoring the production state in real time, optimizing the production process through data analysis and improving the management level.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent wheelset maintenance, and particularly relates to a PMS management method and system for an intelligent wheelset maintenance workshop. BACKGROUND

[0002] Wheelset maintenance is a very important core maintenance link in track vehicle maintenance and repair work, and is directly related to the running safety, stability and wheel-rail relationship of the train. Specifically, it refers to a series of work of checking, detecting, repairing or replacing the wheelset (usually composed of one axle and two wheels pressed on it) of the track vehicle.

[0003] In the traditional wheelset maintenance workshop, maintenance work, equipment operation, production scheduling, material management and other work mostly rely on manual operation, and there are problems such as low efficiency, easy to make mistakes and difficult to trace. With the development of intelligent manufacturing technology, higher requirements are put forward for the digitization, intelligentization and standardization of the wheelset maintenance workshop. SUMMARY

[0004] The purpose of the present application is to provide a PMS management method and system for an intelligent wheelset maintenance workshop to solve the problems raised in the background.

[0005] To achieve the above purpose, the present application provides the following technical solutions:

[0006] A PMS management method for an intelligent wheelset maintenance workshop, comprising:

[0007] Production task monitoring is performed by distributed data acquisition equipment to obtain production task data, and the data is standardized processed accordingly;

[0008] The standardized production task data is evaluated based on the preset target of the production task to obtain production task requirements, which include task targets and task standards;

[0009] Collaborate with on-site resources to respond to the production task requirements, and perform global scheduling management on resource objects, including device objects, material objects and personnel objects;

[0010] Bidirectional transmission of interactive information is performed through the client to achieve the acquisition of demand information control information and the output of feedback information.

[0011] As a further solution of the present application: in the step of obtaining production task requirements, a maintenance plan center PDC and a process flow center PCC are involved, respectively used for formulating and arranging maintenance task plans and optimizing and establishing specific task flow and standard requirements;

[0012] The step of coordinating the on-site resources involves a production scheduling center DPC, a basic management center BMC and a material management center MMC, which are respectively used for coordinating and scheduling tasks and resources, basic system configuration and inventory configuration management.

[0013] As a further scheme of the present application: in the step of bidirectional transmission of interactive information by the client, the client is realized by a terminal-mounted program, specifically comprising:

[0014] The PC terminal program is used for establishing a twin model of the workshop, synchronizing data in real time and performing programs on each functional center to realize its corresponding functional management target, and providing information interactive management of user management, permission management, equipment management, process flow management, production scheduling and material management through an interactive program;

[0015] The workstation program is used for realizing connection and management of on-site equipment, realizing on-site equipment verification management, data takeover and bidirectional synchronization, and analyzing and outputting management of task data synchronized to the on-site equipment end;

[0016] The personal portable terminal program is used for realizing visual output of monitoring and evaluation scheduling results based on the twin model by adapting multiple types of output modes, and obtaining real-time task receiving, execution and query through on-site interactive requests.

[0017] As a further scheme of the present application: the data table structure of the database specifically comprises a design user table, an equipment table, a process flow table, a production plan table, a task table and a material table;

[0018] The database comprises a plurality of API interfaces for connecting the database with different functional centers and equipment, and matching the corresponding data table structure by identifying the functional centers and equipment.

[0019] As a further scheme of the present application: further comprising the steps of:

[0020] The analysis results of the data and production task data obtained by the intelligent data center IDC and the production task demand are used for comprehensive simulation of the workshop operation to obtain a plurality of fitting results based on historical training models;

[0021] The maintenance schemes under the plurality of fitting results are subjected to overall evaluation, and the overall evaluation includes overall operation efficiency, quality, cost and safety;

[0022] The trend of the overall evaluation under the plurality of fitting results is judged to determine the optimization direction of different links.

[0023] The embodiment of the present application aims to provide a PMS management system of an intelligent wheel set maintenance workshop, comprising:

[0024] The intelligent data module is used for production task monitoring through the distributed data acquisition equipment to obtain production task data, and the data is standardized correspondingly;

[0025] The demand evaluation module is used for evaluating the standardized production task data based on the preset target of the production task to obtain the production task demand, which includes the task target and the task standard;

[0026] The scheduling management module is used for coordinating the field resources to respond to the production task demand, and globally scheduling the resource objects including the equipment object, the material object and the personnel object;

[0027] The bidirectional interaction module is used for bidirectional transmission of interactive information through the client to realize the acquisition of demand information control information and the output of feedback information.

[0028] As a further scheme of the application, the demand evaluation module involves a maintenance plan center PDC and a process flow center PCC, which are respectively used for formulating and arranging the maintenance task plan and optimizing and establishing the specific task flow and standard demand;

[0029] The scheduling management module involves a production scheduling center DPC, a basic management center BMC and a material management center MMC, which are respectively used for coordinating and scheduling the task and the resource, basic configuration of the system and inventory configuration management.

[0030] As a further scheme of the application, the bidirectional interaction module is realized through a terminal program carried by the client, and specifically includes:

[0031] The PC terminal program is used for establishing a twin model of the workshop, synchronizing data in real time, executing programs of each function center to realize the corresponding function management target, and providing information interaction management of user management, permission management, equipment management, process flow management, production scheduling and material management through the interactive program;

[0032] The workstation program is used for connecting and managing the field equipment, realizing field equipment verification management, data takeover and bidirectional synchronization, and analyzing and outputting the task data synchronized to the field equipment end;

[0033] The personal portable terminal program is used for visualizing the output of the monitoring and evaluation scheduling results based on the twin model through adapting multiple types of output modes, and obtaining the real-time task receiving, execution and query through the field interaction request.

[0034] As a further further scheme of the present application, the data table structure of the database specifically comprises a design user table, a device table, a process flow table, a production plan table, a task table and a material table.

[0035] The database comprises a plurality of API interfaces for connecting the database with different function centers and devices, and matching the corresponding data table structure by identifying the function centers and devices.

[0036] As a further further scheme of the present application, the database further comprises:

[0037] The result simulation unit is used for comprehensively simulating the workshop operation by the data obtained by the intelligent data center IDC and the analysis result of the production task data and the production task demand, so as to obtain a plurality of fitting results based on historical training models.

[0038] The overall evaluation unit is used for overall evaluating the maintenance schemes under the plurality of fitting results, and the overall evaluation comprises overall operation efficiency, quality, cost and safety.

[0039] The trend optimization unit is used for judging the trend of the overall evaluation under the plurality of fitting results, so as to determine the optimization direction of different links.

[0040] Compared with the prior art, the present application has the beneficial effects that: through the mutual coordination design of the digital process, the whole-process digitization of the maintenance operation, the device operation, the production scheduling and the material management is realized, and then the optimal production scheduling scheme can be automatically generated through the intelligent scheduling algorithm, so as to improve the production efficiency, and at the same time, the full-digital information record can achieve the purpose of real-time monitoring the production state and optimizing the production process through data analysis, and improving the management level. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 It is a flow chart of a PMS management method of an intelligent wheel set maintenance workshop.

[0042] Figure 2 It is a flow chart of the optimization step in the PMS management method of the intelligent wheel set maintenance workshop.

[0043] Figure 3 It is a functional architecture diagram of the PMS management method of the intelligent wheel set maintenance workshop.

[0044] Figure 4 It is a module architecture diagram of the PMS management system of the intelligent wheel set maintenance workshop. DETAILED DESCRIPTION

[0045] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0046] The specific implementation of the present application is described in detail below in combination with specific embodiments.

[0047] As Figure 1 and Figure 3 The PMS management method of the intelligent wheel pair maintenance workshop provided by an embodiment of the present application comprises the following steps:

[0048] S10, production task monitoring is performed by means of the distributed data acquisition equipment to obtain production task data, and the data is standardized correspondingly;

[0049] S20, the standardized production task data are evaluated based on the preset target of the production task to obtain production task requirements, wherein the production task requirements comprise task targets and task standards;

[0050] S30, the resource objects including the equipment objects, the material objects and the personnel objects are globally scheduled and managed in response to the production task requirements by means of the on-site resources;

[0051] S40, the bidirectional transmission of the interactive information is performed by means of the client to realize the acquisition of the demand information control information and the output of the feedback information.

[0052] In the embodiment, a PMS management method of an intelligent wheel set repair workshop is given, through mutual coordination design of digital processes, full-process digitization of repair work, equipment operation, production scheduling and material management is realized, and then through intelligent scheduling algorithm, an optimal production scheduling scheme can be automatically generated to improve production efficiency, at the same time, full-digital information recording can achieve real-time monitoring of production state, and through data analysis, production process is optimized to improve management level; Specifically, in the traditional wheel set repair workshop, repair work, equipment operation, production scheduling and material management mostly rely on manual operation, and there are problems of low efficiency, easy to make mistakes and difficult to trace, with the development of intelligent manufacturing technology, higher requirements for digitization, intelligentization and standardization of the wheel set repair workshop are put forward, therefore, the scheme provided in the embodiment aims to realize unmanned repair work, automatic equipment operation, informationized production scheduling and digitized material management, which has important practical significance, in the process of use, a variety of monitoring sensors and other devices are involved in step S10, which can monitor the production equipment state, task execution state and inventory state in real time; Then a data analysis model is established to statistically analyze the production data to provide auxiliary support for the upgrading of production operation management; The intelligent scheduling algorithm is included, which can automatically generate an optimal production scheduling scheme according to production plan, equipment state, personnel state and other factors, and a variety of control modes for equipment control are included, such as automatic mode, single-step mode, manual mode, test run, bypass mode, master control / calibration mode and other equipment control modes to meet different production needs; In order to ensure the safety of the system, a safety management center is additionally provided, which mainly includes two parts, one is safety interlocking, which can ensure the safe operation of the equipment by integrating the safety interlocking system to prevent safety accidents, and the other is permission management, which sets different levels of access permissions to ensure the safety of system data.

[0053] As another preferred embodiment of the present application, in the step of obtaining production task requirements, a repair plan center PDC and a process flow center PCC are involved, which are respectively used for formulating and arranging repair task plans and optimizing and establishing specific task flow and standard requirements;

[0054] In the step of coordinating field resources, a production scheduling center DPC, a basic management center BMC and a material management center MMC are involved, which are respectively used for coordinating and scheduling tasks and resources, system basic configuration and inventory configuration management.

[0055] In the embodiment, the PMS system is divided, which is mainly divided into an intelligent data center IDC, a maintenance plan center PDC, a process flow center PCC, a production scheduling center DPC, a basic management center BMC and a material management center MMC. The intelligent data center IDC corresponds to the task content of step S10, realizes data acquisition and storage management, data cleaning and basic processing, etc. In step S20, the main purpose is to realize the acquisition of task-related data and indexes such as task target and task standard, so the corresponding parts include the maintenance plan center PDC and the process flow center PCC, that is, the corresponding task target, task flow and execution standard of the task are established through data analysis and judgment; and in step S30, the main purpose is to realize the scheduling management of field personnel and equipment, so the corresponding production scheduling center DPC, basic management center BMC and material management center MMC include the scheduling of task personnel and equipment, and the collaborative configuration related to the device system is realized.

[0056] As another preferred embodiment of the present application, in the step of bidirectional transmission of interactive information by the client, the client is realized by a terminal-mounted program, which specifically includes:

[0057] The PC program is used to establish a twin model of the workshop, to realize real-time synchronization of data and program execution of each functional center to realize its corresponding functional management target, and to provide information interaction management of user management, permission management, device management, process flow management, production scheduling and material management through an interactive program;

[0058] The workstation program is used to realize connection and management of field devices, to realize field device verification management, data takeover and bidirectional synchronization, and to analyze and output manage task data synchronized to the field device end;

[0059] The personal portable terminal program is used to realize visual output of monitoring and evaluation scheduling results based on the twin model by adapting multiple types of output modes, and to realize real-time task receiving, execution and query by obtaining field interaction requests.

[0060] In the embodiment, the system is divided based on the bearing mode, which includes a PC end, a workstation and a personal portable terminal. The PC end and the workstation realize all basic computing work contents such as data processing, task building allocation and scheduling management through collaborative cooperation, and the personal portable terminal is mainly used to realize visual output of results and allocation of user task scheduling instructions.

[0061] As another preferred embodiment of the present application, the data table structure of the database specifically includes a design user table, a device table, a process flow table, a production plan table, a task table and a material table.

[0062] The database comprises a plurality of API interfaces for connecting the database with different function centers and devices, and matching the corresponding data table structure by identifying the function centers and devices.

[0063] Further, as Figure 2 shown, the method further comprises the steps of:

[0064] S51, the data obtained by the intelligent data center IDC and the analysis result of the production task data and the production task demand are used to comprehensively simulate the workshop operation to obtain a plurality of fitting results based on historical training models;

[0065] S52, the overall evaluation of the maintenance scheme under the plurality of fitting results is performed, and the overall evaluation includes overall operation efficiency, quality, cost and safety;

[0066] S53, the trend of the overall evaluation under the plurality of fitting results is judged to determine the optimization direction of different links.

[0067] In this embodiment, another part of the PMS system is supplemented, that is, the operation management center OMC, which aims to monitor, analyze, evaluate and continuously improve the overall operation efficiency, quality, cost and safety of the wheelset maintenance business according to the data and analysis results provided by the plurality of function centers, optimize the scheduling and task allocation mode of the overall workshop for equipment personnel, and obtain better workshop efficiency and higher quality results.

[0068] As Figure 3 shown, the present application also provides a PMS management system for an intelligent wheelset maintenance workshop, which comprises:

[0069] An intelligent data module 100 is used to monitor production tasks by distributed data acquisition devices to obtain production task data, and to perform corresponding standardized processing on the data;

[0070] A demand evaluation module 200 is used to evaluate the standardized production task data based on the preset target of the production task to obtain production task demand, which includes task target and task standard;

[0071] A scheduling management module 300 is used to coordinate the field resources to respond to the production task demand, and to perform global scheduling management on the resource objects in the field, including equipment objects, material objects and personnel objects;

[0072] A two-way interaction module 400 is used to perform two-way transmission of interactive information through a client to realize acquisition of demand information control information and output of feedback information.

[0073] As another preferred embodiment of the present application, in the requirement assessment module, the PDC and the PCC are respectively used for the scheduling of the maintenance task and the optimization of the specific task flow and the standard requirement;

[0074] In the scheduling management module, the DPC, the BMC and the MMC are respectively used for the coordination and scheduling of the task and the resource, the system basic configuration and the inventory configuration management.

[0075] As another preferred embodiment of the present application, in the bidirectional interaction module, the client is realized through the terminal program, and specifically includes:

[0076] The PC program is used for establishing the twin model of the workshop, synchronizing the data in real time, performing the program on each functional center to realize the corresponding functional management target, and providing the information interaction management of the user management, the permission management, the equipment management, the process flow management, the production scheduling and the material management through the interaction program;

[0077] The workstation program is used for realizing the connection and management of the field equipment, realizing the field equipment verification management, the data takeover and the bidirectional synchronization, and analyzing and outputting the task data synchronized to the field equipment end;

[0078] The personal portable terminal program is used for realizing the visual output of the monitoring and the evaluation scheduling result based on the twin model through the adaptation of multiple types of output modes, and acquiring the real-time task receiving, the execution and the query through the field interaction request.

[0079] As another preferred embodiment of the present application, the data table structure of the database specifically includes a design user table, an equipment table, a process flow table, a production plan table, a task table and a material table;

[0080] The database includes a plurality of API interfaces, which are used for connecting the database with different functional centers and equipment, and matching the access of the corresponding data table structure through the identity recognition of the functional centers and the equipment.

[0081] As another preferred embodiment of the present application, it further includes:

[0082] The result simulation unit is used for comprehensively simulating the workshop operation through the data obtained by the IDC, the production task data and the analysis result of the production task requirement, to obtain a plurality of fitting results based on the historical training model;

[0083] The overall evaluation unit is used for overall evaluating the maintenance scheme under a plurality of fitting results, and the overall evaluation includes the overall operation efficiency, the quality, the cost and the safety;

[0084] a trend optimization unit configured to determine a trend of the overall evaluation under the plurality of fitting results to determine an optimization direction of different links.

[0085] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The program can be stored in a non-volatile computer readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiment methods. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0086] Other embodiments of the present disclosure will be apparent to those skilled in the art with the disclosure herein. The present application is intended to cover any variations, uses or adaptive changes of this disclosure that follow the general principles of this disclosure and include general knowledge or conventional technical means in the art that are not disclosed in this disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

[0087] It should be understood that the present disclosure is not limited to the precise structures described above and shown in the drawings and that various modifications and changes can be made without departing from its scope. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A PMS management method for an intelligent wheelset maintenance workshop, characterized in that, Include: Production tasks are monitored by distributed data acquisition devices to obtain production task data, and the data is then standardized accordingly. The standardized production task data is evaluated based on the preset goals of the production task to obtain the production task requirements, which include task goals and task standards. Coordinate on-site resources to respond to the production task requirements, and perform global scheduling and management of on-site resource objects, including equipment objects, material objects, and personnel objects; The client enables two-way communication of information to obtain demand and control information as well as output feedback and notification information.

2. The PMS management method for an intelligent wheelset maintenance workshop according to claim 1, characterized in that, The step of obtaining production task requirements involves the Maintenance Planning Center (PDC) and the Process Flow Center (PCC), which are used for the formulation and arrangement of maintenance task plans and the optimization and establishment of specific task processes and standard requirements, respectively. The steps of coordinating on-site resources involve the Production Scheduling Center (DPC), the Basic Management Center (BMC), and the Materials Management Center (MMC), which are respectively used for task and resource coordination and scheduling, system basic configuration, and inventory configuration management.

3. The PMS management method for an intelligent wheelset maintenance workshop according to claim 2, characterized in that, In the step of bidirectional transmission of interactive information via a client, the client is implemented through a program installed on the terminal, specifically including: The PC-based program is used to build a twin model of the workshop, synchronize data in real time, and execute programs on various functional centers to achieve their corresponding functional management goals. It also provides information interaction management for user management, permission management, equipment management, process flow management, production scheduling, and material management through interactive programs. The workstation program is used to connect and manage field devices, realize field device verification management, data takeover and bidirectional synchronization, and parse and manage the task data synchronized to the field devices. The personal portable terminal program adapts to multiple output modes to visualize the monitoring and evaluation scheduling results based on the twin model, and obtains them through on-site interactive requests for real-time task reception, execution, and querying.

4. The PMS management method for an intelligent wheelset maintenance workshop according to claim 3, characterized in that, The database's data table structure specifically includes a design user table, an equipment table, a process flow table, a production plan table, a task table, and a materials table; The database includes several API interfaces for connecting the database with different functional centers and devices, and for matching the access to the corresponding data table structure by identifying the functional centers and devices.

5. The PMS management method for an intelligent wheelset maintenance workshop according to claim 4, characterized in that, It also includes the following steps: The workshop operations are comprehensively simulated using data obtained from the intelligent data center (IDC), production task data, and analysis results of production task requirements, in order to obtain various fitting results based on historical training models. A comprehensive evaluation of the maintenance schemes under various fitting results is conducted, including overall operating efficiency, quality, cost, and safety. The trend of the overall evaluation under multiple fitting results is judged, and the optimization direction of different links is determined by fitting.

6. A PMS management system for an intelligent wheelset maintenance workshop, characterized in that, Include: The intelligent data module is used to monitor production tasks through distributed data acquisition devices to obtain production task data and perform corresponding standardized processing on the data. The demand assessment module is used to assess standardized production task data based on the preset goals of the production task in order to obtain production task requirements, which include task goals and task standards. The scheduling and management module is used to coordinate on-site resources to respond to the production task requirements and to perform global scheduling and management of on-site resource objects, including equipment objects, material objects, and personnel objects. The two-way interaction module is used to transmit interactive information bidirectionally through the client, so as to obtain demand information and control information and output feedback and notification information.

7. The PMS management system for an intelligent wheelset maintenance workshop according to claim 6, characterized in that, The requirements assessment module involves the Maintenance Planning Center (PDC) and the Process Flow Center (PCC), which are used for the formulation and arrangement of maintenance task plans and the optimization and establishment of specific task processes and standard requirements, respectively. The scheduling management module includes a Production Scheduling Center (DPC), a Basic Management Center (BMC), and a Materials Management Center (MMC), which are used for task and resource coordination and scheduling, system basic configuration, and inventory configuration management, respectively.

8. The PMS management system for an intelligent wheelset maintenance workshop according to claim 7, characterized in that, In the bidirectional interaction module, the client is implemented through a program installed on the terminal, specifically including: The PC-based program is used to build a twin model of the workshop, synchronize data in real time, and execute programs on various functional centers to achieve their corresponding functional management goals. It also provides information interaction management for user management, permission management, equipment management, process flow management, production scheduling, and material management through interactive programs. The workstation program is used to connect and manage field devices, realize field device verification management, data takeover and bidirectional synchronization, and parse and manage the task data synchronized to the field devices. The personal portable terminal program adapts to multiple output modes to visualize the monitoring and evaluation scheduling results based on the twin model, and obtains them through on-site interactive requests for real-time task reception, execution, and querying.

9. The PMS management system for an intelligent wheelset maintenance workshop according to claim 8, characterized in that, The database's data table structure specifically includes a design user table, an equipment table, a process flow table, a production plan table, a task table, and a materials table; The database includes several API interfaces for connecting the database with different functional centers and devices, and for matching the access to the corresponding data table structure by identifying the functional centers and devices.

10. The PMS management system for an intelligent wheelset maintenance workshop according to claim 9, characterized in that, Also includes: The results simulation unit is used to comprehensively simulate workshop operations using data obtained from the intelligent data center (IDC), production task data, and analysis results of production task requirements, in order to obtain various fitting results based on historical training models. The overall evaluation unit is used to perform an overall evaluation of maintenance plans under multiple fitting results. The overall evaluation includes overall operating efficiency, quality, cost and safety. The trend optimization unit is used to judge the trend of the overall evaluation under multiple fitting results, and to determine the optimization direction of different links based on the fitting.