A virtual maintenance simulation method and system for new equipment maintenance optimization

Abstract

The application claims a kind of virtual maintenance simulation method and system for new equipment maintenance optimization, the method and system are designed to virtual maintenance simulation by analyzing equipment actual maintenance task and process, the format conversion of equipment digital prototype model is carried out, and loaded into virtual maintenance scene, select equipment fault type and inject it into model, display maintenance details to virtual maintenance environment for prompting maintenance personnel, set interactive function and disassembly sequence for model parts, and obtain data in maintenance process, complete equipment maintenance process optimization.The application is based on a kind of virtual maintenance simulation method and system for new equipment maintenance optimization, overcome the deficiency of traditional maintenance, improve the authenticity and maintenance efficiency of virtual maintenance simulation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of virtual reality and maintenance process optimization, and particularly relates to a virtual maintenance simulation method and system for new equipment maintenance optimization. BACKGROUND

[0002] Equipment disassembly is an important part of equipment disassembly support and is the key to keeping equipment in operation. At present, many mechanical equipment shows characteristics such as high integration, advanced technology and high price. The traditional disassembly training method using real equipment is easy to cause artificial failure of the equipment, and there is a large gap between the number of training personnel and the number of equipment used for disassembly training. Such training method obviously cannot meet the needs of current equipment disassembly training. Therefore, it is urgent to innovate in the method and means of disassembly training, and to develop disassembly training methods and means that can meet the needs of equipment disassembly training and are in line with the current reality. With the rapid development of computer technology, a virtual disassembly training system based on virtual disassembly technology can provide a good solution. The virtual disassembly training system can cultivate the self-disassembly training ability of engineers and promote the rapid formation of basic disassembly support capability. The first thing that needs to be focused on is the disassemblability of the equipment.

[0003] Disassembly is a basic and common problem throughout the life cycle of complex equipment. Disassemblability has become an important indicator of equipment performance. Poor disassemblability design increases the maintenance and repair cost of equipment. In particular, some simple and basic mechanical equipment needs to have good disassemblability, which must ensure that it can be successfully disassembled within a specified time and without damaging the equipment components. Therefore, disassemblability is included in the entire life cycle of the product, and the disassemblability requirements of the equipment are realized through design, demonstration, production and verification. This is not only an urgent need to ensure equipment maintenance, but also an objective need to improve the efficiency of equipment systems and reduce the cost of after-sales service and maintenance.

[0004] Disassemblability design analysis is a factor that needs to be considered in the design stage of a product, and it is necessary to make the disassembly of the product as time-saving, labor-saving and efficient as possible. In the equipment development process, the earlier the disassemblability design is considered, the greater the flexibility of the scheme, and the lower the cost of changes. Foreign experience shows that investing 1 dollar in improving disassembly optimization design during the development process can reduce the after-sales service and maintenance period cost by 50-100 dollars. Therefore, disassemblability design analysis and verification work needs to be carried out in the scheme stage and the engineering development stage.

[0005] The disassembly optimization of the equipment in the virtual environment can not only review the disassembly of the product in the early design stage, but also simulate the disassembly scheme to be performed in advance in the use and maintenance stage of the product. Through the virtual simulation technology, the designer simulates the disassembly operation process while designing, understands whether the disassembly task is feasible, and timely changes the design scheme, so as to reduce the waste of human, material, resource and time caused by the fact that the disassembly operation is difficult to perform after the equipment is used. Through the early provision of the disassembly process observation means with stronger immersion, the simplified design process and the improved system structure can optimize the equipment disassembly, so that the engineer can save time and efficiently find and eliminate serious product design defects. Meanwhile, many disassembly and assembly data acquisition works which need to be manually performed in the past can be automatically completed in the virtual environment, thereby significantly reducing the development time and cost of the after-sales maintenance manual.

[0006] In view of the disassembly difficulties and complicated disassembly steps in the equipment disassembly process, the research on the disassembly sequence optimization of the equipment in the virtual environment is carried out. The advantages of easy mechanical equipment modeling and simple disassembly operation in the virtual environment are used to study the combination and design structure of equipment parts, find the optimal solution of the current equipment disassembly sequence, and realize the acquisition of the equipment disassembly test data and the optimization of the disassembly process, so as to reduce the key problems such as long cycle, high cost, low knowledge accumulation and training efficiency caused by the disassembly test of the real equipment.

[0007] CN108287483A, an immersive virtual maintenance simulation method and system for product maintainability verification, the method and system analyze the actual maintenance task and process of the product, design the immersive virtual maintenance simulation, convert the traditional digital prototype into a model and perform a series of processing, import into the virtual maintenance scene, and complete the construction of the entire virtual maintenance scene. The object in the scene is subjected to actual dynamics and physics constraints, the virtual scene is rendered in multiple channels, the interactive function is configured, the action data of the user in the scene is collected, and the maintainability verification of the product is completed. The immersive virtual maintenance simulation method and system for product maintainability verification can overcome the shortcomings of the traditional desktop virtual maintenance simulation, and improve the efficiency and reality of the virtual maintenance simulation.

[0008] The patent does not involve the product fault type related content, the present application proposes a virtual fault injection technology, and adds the module to the system, the user can inject different fault types to carry out various virtual maintenance tests; the patent collects the user action data and completes the maintainability verification of the product, the present application acquires the user maintenance process data such as maintenance time and completes the maintenance process optimization. SUMMARY

[0009] The present application aims to solve the above problems of the prior art. A virtual maintenance simulation method and system for new equipment maintenance optimization are proposed. The technical solutions of the present application are as follows:

[0010] A virtual maintenance simulation method for new equipment maintenance optimization, comprising the following steps:

[0011] S1: loading a digital prototype model of new equipment such as a stern tube sealing device into a virtual maintenance environment;

[0012] S2: selecting and injecting a fault type, determining maintenance task operations according to the selected fault type, and determining specific disassembly steps;

[0013] S3: interacting with the equipment model parts according to the maintenance task description;

[0014] S4: acquiring data for the entire maintenance process and exporting the data in combination with the disassembly steps;

[0015] S5: supplementing the maintenance process using the colored principle and combining the test data obtained in step 4 to establish a maintenance process model;

[0016] S6: simplifying the model size by layering the maintenance process model established in S5;

[0017] S7: simulating the simplified model obtained in S6 and applying an optimization method to the model to optimize the maintenance process.

[0018] Further, the step S1: loading a digital prototype model of new equipment such as a stern tube sealing device into a virtual maintenance environment specifically comprises:

[0019] Loading the stern tube sealing device model using prototype model loading technology and classifying the modules; after classification, configuring the functions of each module of the equipment model; then displaying the model in the virtual maintenance environment by controlling the movement, rotation and scaling of the parts.

[0020] Further, the step S2 of selecting and injecting a fault type, determining maintenance task operations according to the selected fault type, and determining specific disassembly steps specifically comprises:

[0021] Faults are imported into specific modules of the equipment model, and according to the selected fault model, the faults are injected into the specific target system using artificial methods; at the same time, the system's reaction information to the injected faults is collected, and the system is analyzed for maintenance process through these information.

[0022] Further, the step S3 of interacting with the equipment model parts according to the maintenance task description specifically comprises:

[0023] The model is positioned by using the technology of digital rendering and interaction in the virtual environment; the interaction between the person and the virtual equipment and virtual parts is completed in the virtual environment, and the logical model is constructed, and the disassembly process of the simulated equipment is realized.

[0024] Further, the step S4 acquires data for the entire maintenance process, and exports the data in combination with the disassembly step, specifically including:

[0025] For the data acquisition system, the virtual equipment is interacted with maintenance operations and the like in combination with the virtual reality peripheral device; the system performs maintenance operations on the model according to the data of the peripheral device and records maintenance data, which can be acquired from maintenance time, part adjustment angle and other related parameters.

[0026] Further, the maintenance process model of the step S5 includes:

[0027] Some color sets are defined and assigned specific meanings, and these variables are used to describe some maintenance processes; time data obtained in the virtual maintenance test process is combined to form a time-colored petri net maintenance process model.

[0028] Further, the hierarchical processing simplified model of the S6 specifically includes:

[0029] The hierarchical structure of the colored petri net model is called a subnet; a subnet can be said to be a subsystem, which is a collection of some places and transitions, and such a structure can be used to construct a larger process system.

[0030] Further, the optimization method of the step S7 includes:

[0031] The analysis of the maintenance process model includes static analysis and dynamic analysis. The static analysis is mainly aimed at analyzing the static structure of the maintenance process, finding out unreasonable parts, and optimizing the structure and processing mode of the business process; the dynamic analysis is combined with the time factor to analyze the maintenance process, mainly by using an optimization tool to adopt a certain optimization strategy to optimize the parameters of the maintenance process model.

[0032] A virtual maintenance simulation system for new equipment maintenance optimization includes:

[0033] Prototype loading module: converting the digital model of the new equipment, and loading the prototype into the virtual maintenance environment;

[0034] Fault injection module: selecting fault parts and fault types, and performing virtual fault injection on the equipment model;

[0035] Interaction module: action decomposition of maintenance tasks and adding disassembly constraints to equipment models;

[0036] Data acquisition module: acquisition of maintenance data in virtual maintenance tests;

[0037] Maintenance optimization module: complete virtual maintenance tasks and model the entire maintenance process in combination with maintenance data, and improve maintenance efficiency in combination with optimization methods.

[0038] Further, the prototype loading module comprises:

[0039] Format conversion submodule: used for converting different formats of new equipment digital models into a unified format;

[0040] Prototype loading submodule: used for importing the model in the unified format into the virtual maintenance environment.

[0041] Further, the prototype loading module comprises:

[0042] Format conversion submodule: used for converting different formats of new equipment digital models into a unified format;

[0043] Prototype loading submodule: used for importing the model in the unified format into the virtual maintenance environment.

[0044] Further, the fault injection module comprises:

[0045] Fault selection submodule: used for selecting fault components according to fault types;

[0046] Maintenance prompt submodule: used for displaying detailed information of the maintenance process;

[0047] Disassembly step submodule: used for sorting disassembly steps according to maintenance information.

[0048] Further, the interaction module comprises:

[0049] Instruction binding submodule: used for binding interaction operation instructions to interaction devices for user interaction with the virtual scene;

[0050] Interaction command positioning submodule, used for providing positioning information for interaction instructions.

[0051] Further, the data acquisition module comprises:

[0052] Maintenance time data acquisition submodule: used for acquiring maintenance time data of the user.

[0053] Further, the maintenance optimization module comprises:

[0054] a maintenance process simulation submodule for combining the acquired data with the maintenance process;

[0055] a maintenance process optimization submodule for optimizing the maintenance process.

[0056] Advantages and beneficial effects of the present application are as follows:

[0057] (1) The present application can perform selective virtual fault injection on a new equipment model. Existing technical methods are based on maintenance methods in actual engineering and cannot perform fault type injection, but can only use existing faulty parts or adopt a human damage method to generate faults. The present application can perform selective fault type injection and carry out various virtual maintenance tests.

[0058] (2) The present application can quickly model a maintenance process and combine maintenance process data such as maintenance time into the maintenance process model, thereby improving the accuracy of maintenance process optimization and improving maintenance efficiency in combination with the optimization method proposed in the present application. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 is a virtual maintenance method flowchart provided by the present application;

[0060] Figure 2 is a virtual maintenance system module structure diagram in an embodiment of the present application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application. The described embodiments are only some of the embodiments of the present application.

[0062] The technical solution of the present application to solve the above technical problems is:

[0063] As Figure 1 described, a virtual maintenance simulation method for new equipment maintenance optimization includes:

[0064] S1: loading a digital prototype model of new equipment such as a stern tube sealing device into a virtual maintenance environment.

[0065] The original data of the prototype model of the stern tube sealing device is derived from an equipment model in modeling software. Since the format of the file also needs to be in a general format in the field of digital art, these models cannot support the use and calling of other software, so the engineering file generated by the modeling software needs to be formatted, the converted equipment model is loaded using a prototype model loading technology, and module classification is performed.

[0066] After the classification, the function of each module of the equipment model is configured, and finally the model is displayed in the virtual maintenance environment. The display function of the typical parts of the new equipment is realized by controlling the movement, rotation and scaling of the parts, so that the operator can intuitively and vividly understand the structure and characteristics of the parts. Each object in the virtual maintenance scene has a position component, which determines the position, direction and scaling of the equipment part object. A parent needs to be created in the position component, and the operator can apply position, rotation and scaling in layers.

[0067] S2: Select the fault type and inject, determine the maintenance task operation according to the selected fault type, and determine the specific disassembly step.

[0068] The maintenance operation caused by the simulated fault can be generated by replacing the normal part with the faulty part, connecting or removing the part that is not easy to detect, etc. The fault degree should be sufficient to represent the maintenance operation to be inspected. Virtual fault injection is to inject faults into the target system according to the selected fault model by manual method, and collect the reaction information of the system to the injected fault, and maintain the system through these information.

[0069] Fault equipment import: After the complete equipment in the system receives the fault injection instruction, it starts to implement injection, and the injection method is as follows: according to the selected fault degree, the corresponding fault spare parts can be generated to replace the intact components in the equipment, and special marks are made on the fault parts through programming to facilitate the operator to identify the fault position and maintain it. The observation and recovery system collects the reaction information of the injected fault, and analyzes the recovered information to provide the operator with relevant disassembly steps.

[0070] S3: According to the maintenance task description, the parts of the equipment model are interactively operated.

[0071] In order to realize the simulation of the maintenance process in the virtual environment, the business process of the basic maintenance operation needs to be described in segments. Based on the comprehensive consideration of the maintenance action library and the design of individual maintenance actions, which need to meet the characteristics of independence and parameterization, the maintenance actions required in each stage of the basic maintenance operation are summarized and summarized, so that the operator can finally complete the entire maintenance operation.

[0072] According to the disassembly dependency relationship of the maintenance model itself, the disassembly and maintenance sequence is combined and saved according to the maintenance instructions by using the inheritance relationship of the program, so that the equipment disassembly and installation are in the correct inherent order instead of disassembly in disorder.

[0073] For virtual interactive simulation, peripheral devices are needed to position the maintenance personnel relative to the maintenance scene, and the peripheral devices are worn by the maintenance personnel to perform virtual maintenance operations.

[0074] S4: Data acquisition is performed for the entire maintenance process, and the data is exported in combination with the disassembly steps.

[0075] For the data acquisition system, in combination with the virtual reality device, the virtual equipment is maintained and other action interactions are performed. The system performs maintenance operations on the model according to the data of the data acquisition glove and records maintenance data. The maintenance data can be obtained from maintenance time, part adjustment angle, and other related parameters.

[0076] According to the requirements of the virtual maintenance test, a timer and a display panel are set in the virtual environment, and the timer and the display panel are bound to the parts of the equipment to be maintained. Data is acquired during the virtual maintenance process. The virtual maintenance test system records each step of the maintenance and exports it.

[0077] S5: The maintenance process is supplemented using the colored principle and combined with test data to establish a maintenance process model.

[0078] In the petri net, resources can only be used by transitions and cannot be used by other transitions until the transition releases the resources. The disassembled parts can only be maintained and disassembled after the constraints on other parts are removed. To disassemble the maintenance equipment, first analyze the constraint relationship between the equipment parts. The constraint relationship of the equipment can be represented by the petri model.

[0079] Some color sets are defined and given specific meanings, such as Boolean color sets, integer color sets, character color sets, list color sets, and timed color sets. These variables are used to describe some maintenance processes, and custom functions are used to simplify the program.

[0080] S6: The established model is processed in layers to simplify the model size.

[0081] In combination with the time data obtained during the virtual maintenance test process, a time-colored petri net maintenance process model is formed. The maintenance time data is added to the model to generate a time-colored petri net maintenance process model.

[0082] Sometimes only a simple description of the process model is needed, without considering the details; sometimes the specific behavior of the process needs to be understood. In view of the above problems, the hierarchical structure of the colored petri net model is used, which is called a subnet. A subnet can be said to be a subsystem, a collection of some places and transitions. Such a structure can be used to construct larger process systems.

[0083] S7: The obtained model is simulated and optimized, and the optimization method is applied to the model to realize maintenance process optimization.

[0084] By analyzing the maintenance process model, the maintenance process model is optimized, so as to establish a more efficient and more reasonable maintenance process. The analysis of the maintenance process model includes static analysis and dynamic analysis. The static analysis is mainly aimed at analyzing the static structure of the maintenance process, finding out the unreasonable part, and optimizing the structure and processing mode of the business process; the dynamic analysis is combined with the time factor to analyze the maintenance process, mainly by means of an optimization tool and a certain optimization strategy to optimize the parameters of the maintenance process model. For example, the repeated maintenance activities in the maintenance process can reduce the execution time of the maintenance process.

[0085] As Figure 2 The virtual maintenance simulation system for new equipment maintenance optimization includes a prototype loading module, a fault injection module, an interactive operation module, a data acquisition module and a maintenance optimization module.

[0086] The prototype loading module is used for converting different formats of new equipment digital models into a unified format, importing the model in the unified format into a virtual reality development software, classifying the imported model files, differentiating the components of the model and forming different game objects, but all belong to the sub-objects of the model, numbering and naming all the parts according to their differences for easy management. The parts sub-objects are modified in position to display them in the virtual maintenance environment.

[0087] The fault injection module is used for collecting all fault types, fault components, maintenance contents and other related information of each subsystem according to the composition of the new equipment, selecting a common fault type as the content of the interface display. According to the selected fault type, the fault is consciously produced by artificial method and applied to the equipment model. After the operator selects the fault and clicks confirm, the detailed content of the fault injection can be selected. The complete equipment in the system starts to implement injection after receiving the fault injection instruction. The injection method can produce corresponding fault spare parts for replacing the intact components in the equipment according to the selected fault degree. The fault parts are specially marked in the virtual reality software to facilitate the operator to identify the fault position and maintain it.

[0088] The interactive operation module is used for binding the interactive operation instruction to the interactive device, for the user to interact with the virtual scene. Virtual reality technology emphasizes natural interaction, and the interactive operation is realized based on sensors. The sensor-based interactive operation is realized by tracking the three-dimensional coordinates of each part of the user's hand through data gloves or motion sensors and other equipment to obtain the motion information of the hand for interaction.

[0089] The data acquisition module is used for collecting maintenance time data of the operator when the virtual equipment is subjected to the virtual maintenance test, and the acquired data is exported after the maintenance is completed, thereby providing data support for maintenance process optimization.

[0090] The maintenance optimization module is used for optimizing the model of the disassembly sequence of the maintenance process by using a petri net optimization principle. In the petri net, a resource can be used only by one transition and cannot be used by other transitions until the resource is released by the transition. Considering the influence of the priority of the part disassembly relationship on the maintenance efficiency, the constraint relationship between equipment parts is described by using the petri net, the disassembly model based on the petri net is established, the constraint relationship and the disassembly sequence between the equipment parts are clearly expressed in the model, the time required for disassembly can be evaluated if the disassembly time of each step is assigned, and the disassembly sequence is optimized.

[0091] The system, apparatus, module or unit illustrated in the above embodiments can be specifically implemented by a computer chip or entity, or by a product with certain functions. A typical implementation device is a computer. Specifically, the computer may, for example, be a personal computer, a laptop computer, a cellular phone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0092] It should be further understood that the terms "comprise", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles or devices that include a series of elements not only include those elements, but also include other elements not explicitly listed or inherent to such processes, methods, articles or devices. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of another identical element in the process, method, article or device that includes the element.

[0093] The above embodiments should be understood as merely illustrative of the present application and not used to limit the protection scope of the present application. After reading the content disclosed in the present application, those skilled in the art can make various changes or modifications to the present application, and these equivalent changes and modifications also fall within the scope defined by the claims of the present application.

Claims

1. A virtual maintenance simulation method for optimizing the maintenance of new equipment, characterized in that, Includes the following steps: S1: Load the digital prototype model of the new equipment stern tube sealing device into the virtual maintenance environment; S2: Select the fault type and inject it. Determine the maintenance task operation based on the selected fault type and the specific disassembly and assembly steps. S3: Perform interactive operations on the equipment model parts according to the maintenance task description; S4: Acquire data throughout the entire repair process and export the data in conjunction with the disassembly and assembly steps; S5: Use the principle of non-coloring to supplement the maintenance process and combine it with the test data obtained in step 4 to establish a maintenance process model; S6: Simplify the model size by performing layered processing on the maintenance process model established in S5; S7: Conduct simulation studies on the simplified model obtained in S6, and apply optimization methods to the model to achieve maintenance process optimization; Step S1: Loading the digital prototype model of the new equipment stern tube sealing device into the virtual maintenance environment specifically includes: The stern tube sealing device model was loaded using prototype model loading technology and classified into modules. After classification, the functions of each module of the equipment model were configured. Then, by controlling the movement, rotation and scaling of the parts, the model was finally displayed in the virtual maintenance environment. Step S2 involves selecting and injecting a fault type, determining the maintenance task operation based on the selected fault type, and specifying the disassembly and assembly steps, including: The modules in the equipment model are imported with faults. According to the selected fault model, the faults are manually injected into the target system. At the same time, the system's response information to the injected faults is collected, and the maintenance process is analyzed based on this information. Step S3, which involves interactive operations on the equipment model parts based on the maintenance task description, specifically includes: The model is located using digital rendering and interaction technology in a virtual environment; the interaction between people and virtual equipment and virtual parts is completed in the virtual environment, as well as the construction of its logical model, and the disassembly and assembly process of simulated equipment parts is realized.

2. The virtual maintenance simulation method for optimizing the maintenance of new equipment according to claim 1, characterized in that, Step S4 involves acquiring data from the entire repair process and exporting the data in conjunction with the disassembly and assembly steps. Specifically, this includes: For the data acquisition system, combined with virtual reality peripherals, maintenance operation actions are performed on the virtual equipment. The system performs maintenance operations on the model based on the data from the peripherals and records the maintenance data. The maintenance data can be obtained from maintenance hours, parts adjustment angle and related parameters.

3. The virtual maintenance simulation method for optimizing the maintenance of new equipment according to claim 1, characterized in that, The maintenance process model for step S5 includes: Some color sets are defined and given specific meanings, and these variables are used to describe some maintenance processes; combined with the time data obtained during the virtual maintenance test, a time-colored Petri net maintenance process model is formed.

4. The virtual maintenance simulation method for optimizing the maintenance of new equipment according to claim 1, characterized in that, The simplified hierarchical processing model of S6 specifically includes: The hierarchical structure of the colored Petri net model is called a subnet; a subnet is a subsystem, a collection of places and transitions. This structure is used to construct larger process systems.

5. The virtual maintenance simulation method for optimizing the maintenance of new equipment according to claim 1, characterized in that, The optimization method for step S7 includes: The analysis of the maintenance process model includes static analysis and dynamic analysis. Static analysis focuses on the static structure of the maintenance process to identify unreasonable parts and optimize the business process structure and processing mode. Dynamic analysis combines the time factor to analyze the maintenance process and uses optimization tools to optimize the parameters of the maintenance process model using certain optimization strategies.

6. A virtual maintenance simulation system for optimizing the maintenance of new equipment based on the method of any one of claims 1-5, characterized in that, include: Prototype loading module: Converts the format of the digital model of the new equipment and loads the prototype into the virtual maintenance environment; Fault Injection Module: Select the faulty component and fault type to perform virtual fault injection on the equipment model; Interactive operation module: Decomposes maintenance tasks into actions and adds disassembly and assembly constraints to equipment models; Data acquisition module: Acquires maintenance data from virtual maintenance experiments; Maintenance optimization module: Completes virtual maintenance tasks and models and simulates the entire maintenance process based on maintenance data, and improves maintenance efficiency by combining optimization methods.

7. A virtual maintenance simulation system for optimizing the maintenance of new equipment according to claim 6, characterized in that, The prototype loading module includes: Format conversion submodule: Used to convert new equipment digital models in different formats into a unified format; Prototype Loading Submodule: Used to import models in a standardized format into the virtual maintenance environment; The fault injection module includes: Fault Selection Submodule: Used to select faulty components based on the fault type; Repair prompts submodule: Used to display detailed repair process information; Disassembly / Assembly Steps Submodule: Used to sort disassembly / assembly steps based on maintenance information; The interactive operation module includes: Command Binding Submodule: Used to bind interactive operation commands to interactive devices, enabling users to interact with virtual scenes; Interactive command location submodule: used to provide location information for interactive commands; The data acquisition module includes: Repair Time Data Acquisition Submodule: Used to collect users' repair time data; The maintenance optimization module includes: Maintenance process simulation submodule: used to combine the acquired data with the maintenance process; Maintenance process optimization submodule: Used to optimize the maintenance process.

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