Method and system for digitally reproducing and checking disassembly and assembly of power plant equipment

Abstract

The invention discloses a digital reproduction verification method and system for disassembly and assembly of power plant equipment, and relates to the related technical field of power plant equipment verification, and the method comprises the steps: scanning an entity three-dimensional model of target power plant equipment, and carrying out the disassembly and assembly analysis according to a power industry standard; building a power plant disassembly and assembly environment, and importing the equipment-part-process three-level correlation model to carry out disassembly and assembly path analysis; performing principle specification matching according to an equipment disassembly and assembly process path to obtain a disassembly and assembly path matching instruction, and converting the disassembly and assembly path matching instruction into disassembly and assembly path interaction voice; and carrying out digital disassembly and assembly reproduction and maintenance track verification on the entity three-dimensional model based on the equipment disassembly and assembly process path and the disassembly and assembly path interaction voice. The technical problems of poor accuracy, safety and efficiency of power plant equipment disassembly and assembly caused by lack of voice interaction support and real-time verification capability and insufficient standardization of equipment disassembly and assembly in the prior art are solved, and the technical effects of standard intelligent equipment disassembly and assembly and improvement of the standardization, operation safety and maintenance efficiency of power plant equipment disassembly and assembly are achieved.

Description

Technical Field

[0001] This application relates to the technical field of power plant equipment verification, specifically to a digital reproduction verification method and system for power plant equipment disassembly and assembly. Background Technology

[0002] As power plant equipment becomes increasingly large and complex, the accuracy and safety of equipment disassembly, assembly, inspection, and maintenance are becoming ever more crucial. Traditional equipment disassembly and assembly mainly rely on manual labor and paper-based documentation, which suffers from insufficient operational standardization, low information transmission efficiency, and susceptibility to errors. Especially in the disassembly and assembly of large and critical equipment, any oversight can lead to equipment damage, project delays, or even safety accidents. 3D scanning and modeling provide a foundation for digital reproduction management of equipment. However, in the power industry, it is difficult to deeply integrate digital reproduction with industry standards to achieve refined management from the equipment level to the component level and process level. Existing equipment disassembly and assembly path planning, process logic association, and standard compliance verification have many shortcomings. They have not fully incorporated the standardized requirements of the power industry and lack voice interaction support and real-time verification capabilities for the disassembly and assembly process, thus affecting the accuracy, safety, and efficiency of power plant equipment disassembly and assembly.

[0003] Therefore, current technologies suffer from a lack of voice interaction support and real-time verification capabilities for equipment disassembly and assembly, as well as insufficient standardization, leading to poor accuracy, safety, and efficiency in the disassembly and assembly of power plant equipment. Summary of the Invention

[0004] This application provides a digital reproduction and verification method and system for power plant equipment disassembly and assembly, which solves the technical problems in the prior art where equipment disassembly and assembly lacks voice interaction support and real-time verification capabilities, and is not standardized enough, resulting in poor accuracy, safety and efficiency of power plant equipment disassembly and assembly. It achieves standardized intelligent equipment disassembly and assembly, and improves the standardization, operational safety and maintenance efficiency of power plant equipment disassembly and assembly.

[0005] This application provides a method for digital reproduction and verification of power plant equipment disassembly and assembly. The method includes: scanning a physical 3D model of the target power plant equipment; performing disassembly and assembly analysis on the physical 3D model according to power industry standards to establish a three-level association model of equipment-component-process; building a power plant disassembly and assembly environment based on the application scenario information of the target power plant equipment; importing the equipment-component-process three-level association model into the power plant disassembly and assembly environment for disassembly and assembly path analysis to determine the equipment disassembly and assembly process path; matching the equipment-component-process three-level association model with the power industry standards according to the equipment disassembly and assembly process path to obtain a disassembly and assembly path matching description, and converting the disassembly and assembly path matching description into interactive voice for the disassembly and assembly path; and performing digital disassembly and assembly reproduction and maintenance trajectory verification on the physical 3D model based on the equipment disassembly and assembly process path and the interactive voice for the disassembly and assembly path.

[0006] In a possible implementation, the digital reproduction and verification method for disassembly and assembly of power plant equipment further performs the following processing: The physical 3D model is decomposed into functional components according to the power industry standard to obtain N power plant equipment functional components; each of the N power plant equipment functional components is labeled with attributes to obtain N functional component attribute tags; the N power plant equipment functional components are encoded with process disassembly and assembly codes according to the N functional component attribute tags to obtain N component disassembly and assembly process identification codes; a three-level visualization association is established based on the physical 3D model, the N power plant equipment functional components, and the N component disassembly and assembly process identification codes to establish the equipment-component-process three-level association model.

[0007] In a possible implementation, the digital reproduction and verification method for power plant equipment disassembly and assembly further performs the following processing: determining the equipment disassembly granularity according to the power industry standards and power plant equipment disassembly and assembly requirements; parsing the process disassembly and assembly logic of the N power plant equipment functional components according to the N functional component attribute tags to obtain N component attribute tags-process disassembly and assembly logic; designing disassembly and assembly coding for the N component attribute tags-process disassembly and assembly logic based on the equipment disassembly granularity to build an equipment component disassembly and assembly coding system; and encoding the process of the N component attribute tags-process disassembly and assembly logic based on the equipment component disassembly and assembly coding system to obtain the disassembly and assembly process identification code of the N components.

[0008] In a possible implementation, the digital reproduction and verification method for disassembly and assembly of power plant equipment further performs the following processing: determining the disassembly and assembly coding level of equipment components based on the equipment splitting granularity; extracting the process content of the N component attribute tags-process disassembly and assembly logic based on the equipment component disassembly and assembly coding level to obtain the disassembly and assembly process level content of N components; designing disassembly and assembly coding based on the equipment component disassembly and assembly coding level and the disassembly and assembly process level content of the N components to obtain the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters; and constructing the equipment component disassembly and assembly coding system based on the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters.

[0009] In a possible implementation, the digital reproduction and verification method for power plant equipment disassembly and assembly further performs the following processing: determining disassembly and assembly spatial constraints and disassembly and assembly capacity constraints based on the power plant disassembly and assembly environment; planning disassembly and assembly paths for the equipment-component-process three-level association model based on the disassembly and assembly spatial constraints and disassembly and assembly capacity constraints to determine multiple disassembly and assembly process paths; constructing an equipment disassembly and assembly cost function based on the power plant equipment disassembly and assembly objectives; and performing global optimization on the multiple disassembly and assembly process paths based on the equipment disassembly and assembly cost function to determine the equipment disassembly and assembly process paths.

[0010] In a possible implementation, the digital reproduction and verification method for power plant equipment disassembly and assembly further performs the following processing: constructing a hierarchical disassembly and assembly strategy, which includes equipment-level disassembly and assembly strategy, component-level disassembly and assembly strategy, and process-level disassembly and assembly strategy; planning disassembly and assembly paths for the equipment-component-process three-level association model based on the disassembly and assembly space constraints and disassembly and assembly capability constraints according to the hierarchical disassembly and assembly strategy, to obtain multiple hierarchical disassembly and assembly paths; performing conflict detection and dynamic replanning on the multiple hierarchical disassembly and assembly paths to determine the multiple disassembly and assembly process paths.

[0011] In a possible implementation, the digital reproduction and verification method for disassembly and assembly of power plant equipment further performs the following processing: constructing a power equipment principle knowledge base according to the power industry standard; performing hierarchical association matching between the equipment-component-process three-level association model and the power equipment principle knowledge base to obtain a hierarchical equipment principle knowledge graph; and performing principle specification mapping on the equipment disassembly and assembly process path based on the hierarchical equipment principle knowledge graph to obtain the disassembly and assembly path matching description.

[0012] In a possible implementation, the digital reproduction and verification method for disassembly and assembly of power plant equipment further performs the following processing: obtaining the disassembly and assembly operation mode of the target power plant equipment; configuring speech rate parameters based on the disassembly and assembly operation mode and the equipment disassembly and assembly reproduction time; identifying key points in the disassembly and assembly path matching description to obtain key points in the disassembly and assembly description; configuring tone parameters based on the key points in the disassembly and assembly description; and converting the disassembly and assembly path matching description into interactive voice for the disassembly and assembly path based on the speech rate parameters and the tone parameters.

[0013] In a possible implementation, the digital reproduction and verification method for disassembly and assembly of power plant equipment further performs the following processing: digitally reproducing and verifying the disassembly and assembly process path and the interactive voice of the disassembly and assembly path on the three-dimensional model of the entity to determine the standardization verification result of the equipment disassembly and assembly; and issuing a disassembly and assembly risk warning for the target power plant equipment based on the standardization verification result of the equipment disassembly and assembly.

[0014] This application also provides a digital reproduction and verification system for power plant equipment disassembly and assembly. The system includes: an association model establishment module, used to scan the physical 3D model of the target power plant equipment, analyze the disassembly and assembly of the physical 3D model according to power industry standards, and establish a three-level association model of equipment-component-process; a disassembly and assembly path analysis module, used to build a power plant disassembly and assembly environment based on the application scenario information of the target power plant equipment, import the three-level association model of equipment-component-process into the power plant disassembly and assembly environment for disassembly and assembly path analysis, and determine the equipment disassembly and assembly process path; a principle specification matching module, used to match the three-level association model of equipment-component-process with the power industry standards according to the equipment disassembly and assembly process path, obtain the disassembly and assembly path matching description, and convert the disassembly and assembly path matching description into disassembly and assembly path interactive voice; and a disassembly and assembly reproduction and verification module, used to perform digital disassembly and assembly reproduction and maintenance trajectory verification of the physical 3D model based on the equipment disassembly and assembly process path and the disassembly and assembly path interactive voice.

[0015] This application proposes a digital reproduction and verification method and system for power plant equipment disassembly and assembly. The method involves scanning the physical 3D model of the target power plant equipment and performing disassembly and assembly analysis according to power industry standards. A power plant disassembly and assembly environment is built, and a three-level association model of equipment, components, and processes is imported for disassembly and assembly path analysis. The system then performs principle-specification matching according to the equipment disassembly and assembly process paths, obtaining disassembly and assembly path matching instructions, which are then converted into interactive voice prompts. Based on the equipment disassembly and assembly process paths and the interactive voice prompts, the physical 3D model is digitally reproduced for disassembly and assembly, and maintenance trajectory verification is performed. This addresses the technical problems in existing technologies where equipment disassembly and assembly lacks voice interaction support and real-time verification capabilities, and suffers from insufficient standardization, leading to poor accuracy, safety, and efficiency in power plant equipment disassembly and assembly. The system achieves standardized and intelligent equipment disassembly and assembly, improving the standardization, operational safety, and maintenance efficiency of power plant equipment disassembly and assembly. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0017] Figure 1 A schematic diagram of the digital reproduction and verification method for disassembly and assembly of power plant equipment provided in this application embodiment.

[0018] Figure 2 A schematic diagram of the structure of the digital reproduction and verification system for the disassembly and assembly of power plant equipment provided in this application embodiment.

[0019] Figure labeling: Module 10 for association model establishment, Module 20 for disassembly and assembly path analysis, Module 30 for principle and specification matching, and Module 40 for disassembly and assembly reproduction and verification. Detailed Implementation

[0020] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" can be the same or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0023] This application provides a method for digitally reproducing and verifying the disassembly and assembly of power plant equipment, such as... Figure 1 As shown, the method includes: Step S100: Scan the physical 3D model of the target power plant equipment, disassemble and analyze the physical 3D model according to the power industry standards, and establish a three-level association model of equipment-component-process.

[0024] Preferably, high-precision point cloud data of the external geometry and internal structure of power plant equipment is acquired using 3D laser scanning or photogrammetry to construct a digital 3D solid model with accurate dimensions and spatial relationships. Then, the solid 3D model is disassembled and analyzed according to power industry standards. These standards may include standard documents such as equipment maintenance procedures and disassembly / assembly process specifications. Specifically, the solid 3D model is structurally analyzed based on these industry standard documents, including functional component identification and segmentation, and disassembly / assembly logic mapping. That is, according to the equipment composition defined in the standards, each component is identified and segmented in the 3D model. Each functional component, such as cylinder, rotor, and bearing housing, has its geometric boundaries and assembly relationships clearly defined. Simultaneously, the disassembly and installation sequences and process requirements specified in the standard are mapped to each component in the solid 3D model, forming a standard disassembly and assembly operation logic. Finally, the power plant equipment, its components, and operating procedures are associated to construct a three-level association model of equipment-component-process. The equipment level represents the power plant equipment being operated, the component level belongs to the equipment level and represents independently disassembled components, and the process level belongs to the component level or the relationship between components, representing the specific disassembly and assembly operations performed on each component, such as removing end cover bolts or lifting out the rotor.

[0025] Furthermore, step S100 also includes step S110, which involves decomposing the physical 3D model into functional components according to the power industry standard to obtain N power plant equipment functional components; step S120, which involves assigning attribute labels to each of the N power plant equipment functional components to obtain N functional component attribute labels; step S130, which involves encoding the process disassembly and assembly of the N power plant equipment functional components according to the N functional component attribute labels to obtain N component disassembly and assembly process identification codes; and step S140, which involves establishing a three-level visual association model of equipment-component-process based on the physical 3D model, the N power plant equipment functional components, and the N component disassembly and assembly process identification codes.

[0026] Preferably, the physical 3D model is decomposed into functional components according to equipment maintenance procedures and disassembly / assembly process specifications. That is, the entire equipment is divided into N independent power plant equipment functional components that conform to standard definitions based on the equipment composition structure. Then, attribute labels are applied to each of the N power plant equipment functional components, including the component labeling attributes, technical attributes, and management attributes of each power plant equipment functional component, such as component ID, name, model, equipment number, material, weight, design parameters, maintenance level, life cycle status, and last maintenance date, thereby determining the corresponding N functional component attribute labels.

[0027] Preferably, based on the attribute labels of N functional components and the equipment maintenance procedures in the power industry standards, the N power plant equipment functional components are coded for disassembly and assembly processes. A unique code is generated for each component to uniquely identify the sequence of processes that must be followed when disassembling and assembling that component. This code may include an index containing information such as process type, sequence, required tools, and process requirements, resulting in N component disassembly and assembly process identification codes. Each component disassembly and assembly process identification code corresponds to a standard disassembly and assembly operation sequence. Finally, the physical 3D model, the N power plant equipment functional components, and the N component disassembly and assembly process identification codes are visualized and associated at three levels. This includes using the equipment as the main node, attaching the N power plant equipment functional components and their attribute labels as child nodes under the main equipment node, and associating the specific process steps, sequence, and logical relationships pointed to by the N component disassembly and assembly process identification codes with the corresponding power plant equipment functional component nodes. Ultimately, a three-level association model of equipment-component-process is established, integrating 3D geometric information, component attribute information, and standard process information. By clicking on a functional component, all its attributes and the standard process flow to be performed during disassembly and assembly can be visualized.

[0028] Furthermore, step S130 also includes step S131, determining the equipment disassembly granularity according to the power industry standards and power plant equipment disassembly and assembly requirements; step S132, parsing the process disassembly and assembly logic of the N power plant equipment functional components according to the N functional component attribute tags to obtain N component attribute tags-process disassembly and assembly logic; step S133, designing disassembly and assembly coding for the N component attribute tags-process disassembly and assembly logic based on the equipment disassembly granularity to build an equipment component disassembly and assembly coding system; step S134, encoding the process of the N component attribute tags-process disassembly and assembly logic based on the equipment component disassembly and assembly coding system to obtain the disassembly and assembly process identification code of the N components.

[0029] Preferably, the power plant equipment dismantling and assembly requirements refer to determining the power plant equipment components to be dismantled and assembled based on specific application scenarios. Then, based on power industry standards and the power plant equipment dismantling and assembly requirements, the equipment dismantling granularity is determined, which is the smallest functional unit of digital dismantling and assembly management. Next, the dismantling and assembly logic of N power plant equipment functional components is analyzed according to N functional component attribute tags. This includes matching corresponding dismantling and assembly logic steps from a knowledge base or rule engine to obtain N component attribute tags – dismantling and assembly logic. Then, based on the equipment dismantling granularity, dismantling and assembly coding design is performed on the N component attribute tags – dismantling and assembly logic. This involves designing and determining the dismantling and assembly coding structure, and then building an equipment component dismantling and assembly coding system. This may include the coding order, such as the 1st and 2nd digits representing the equipment category, the 3rd and 5th digits representing the component number, the 6th and 8th digits representing the process type, and the 9th and 10th digits representing the sequence number; and the coding content, such as process type "01" representing hoisting, "02" representing bolt removal, and "03" representing heating. Finally, based on the equipment component disassembly and assembly coding system, the N component attribute tags and process disassembly and assembly logic are encoded. That is, the N component attribute tags and process disassembly and assembly logic are standardized and transformed using the equipment component disassembly and assembly coding system as a benchmark, and N unique codes are generated as the N component disassembly and assembly process identification codes, which contain complete disassembly and assembly sequence and process type information.

[0030] Furthermore, step S133 also includes step A, determining the equipment component disassembly and assembly coding level according to the equipment splitting granularity; step B, extracting the process content of the N component attribute tags - process disassembly and assembly logic based on the equipment component disassembly and assembly coding level to obtain the N component disassembly and assembly process level content; step C, designing disassembly and assembly coding based on the equipment component disassembly and assembly coding level and the N component disassembly and assembly process level content to obtain the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters; and step D, building the equipment component disassembly and assembly coding system based on the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters.

[0031] Preferably, based on the granularity of equipment breakdown, the equipment component disassembly and assembly coding hierarchy is determined. This may be a tree-like equipment disassembly and assembly structure, such as level 1 equipment level, level 2 component level, level 3 sub-component or process type level, and level 4 process step level. Then, based on the N component attribute tags-process disassembly and assembly logic of the equipment component disassembly and assembly coding hierarchy, process content is extracted. This includes extracting the specific information to be coded from the component attribute tags-process disassembly and assembly logic. Specifically, for each disassembly and assembly logic of each component, the information it contains is categorized and mapped to different coding levels, thereby obtaining the disassembly and assembly process level content of N components. Disassembly and assembly coding design refers to the design of the equipment component disassembly and assembly coding hierarchy and the N components. The disassembly and assembly process is coded at each level, outputting the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters. The component disassembly and assembly coding sequence specifies the order of each code segment to ensure coding logic and readability. The component disassembly and assembly coding content may include values ​​at the coding level, such as disassembly, installation, hoisting, and measurement. The component disassembly and assembly coding characters specify the allowed character types and lengths for each coding segment, thereby determining a fully executable coding rule scheme. Finally, the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters are integrated to build an equipment component disassembly and assembly coding system, including the codes and valid values ​​of all components of the power plant equipment.

[0032] Step S200: Based on the application scenario information of the target power plant equipment, build a power plant disassembly and assembly environment, import the equipment-component-process three-level association model into the power plant disassembly and assembly environment for disassembly and assembly path analysis, and determine the equipment disassembly and assembly process path.

[0033] Preferably, the application scenario information for the target power plant equipment may include plant geometry information such as equipment layout diagrams, plant structure, doorway dimensions, and staircase locations; the layout of surrounding equipment such as the locations of adjacent equipment, pipelines, and cable trays; the rated load, lifting height, and travel range of the main equipment; and environmental information such as work area divisions, safety restricted areas, and lighting conditions. Based on this application scenario information, a power plant dismantling and assembly environment is constructed, including relevant spatial structures and facility attributes. Then, a three-level association model of equipment-components-processes is imported into the power plant dismantling and assembly environment. This includes accurately locating the equipment components based on their actual installation coordinates and importing attributes and process identification codes, ensuring that clicking on a 3D component in any dismantling and assembly environment allows access to all its information and associated processes. Dismantling and assembly path analysis refers to calculating and planning the process sequence... The disassembly and assembly scheme, including sequence, spatial path, and resource scheduling, involves geometric path planning, process logic verification, and resource conflict detection. Specifically, for moving equipment components, considering the component's size, shape, and obstacles, the collision-free movement trajectory from the installation location to the temporary placement point is calculated. The feasibility of the process sequence defined by the equipment-component-process three-level association model is verified in the current disassembly and assembly environment. The potential conflicts between the process plan and resource usage are analyzed. Then, based on optimization objectives such as minimum safety risk and minimum space occupation, multiple feasible disassembly and assembly sequences and path schemes are evaluated, and the optimal solution is finally selected as the equipment disassembly and assembly process path. This may include three-dimensional spatial path information, time series information, resource allocation information, and an executable digital work instruction.

[0034] Furthermore, step S200 also includes step S210, determining disassembly and assembly space constraints and disassembly and assembly capacity constraints based on the power plant disassembly and assembly environment; step S220, performing disassembly and assembly path planning on the equipment-component-process three-level association model based on the disassembly and assembly space constraints and disassembly and assembly capacity constraints, and determining multiple disassembly and assembly process paths; step S230, constructing an equipment disassembly and assembly cost function based on the power plant equipment disassembly and assembly objectives; and step S240, performing global optimization on the multiple disassembly and assembly process paths based on the equipment disassembly and assembly cost function, and determining the equipment disassembly and assembly process path.

[0035] Preferably, the power plant dismantling and assembly environment is analyzed. The geometry and location of the plant columns, pipes, cable trays, adjacent equipment, and the spatiotemporal occupancy information of dynamic obstacles are used as spatial constraints for equipment dismantling and assembly. The rated load, lifting height, travel range, maintenance anchor point bearing capacity, and load-bearing capacity and size of the transportation channel of the main equipment are used as capacity constraints. Then, under the premise of satisfying the dismantling and assembly spatial constraints and dismantling and assembly capacity constraints, dismantling and assembly path planning is carried out on the three-level association model of equipment-component-process. Specifically, following the process dependency relationship in the three-level association model of equipment-component-process, for each moving equipment component, the collision-free movement trajectory from the starting point to the target point is calculated in three-dimensional space using a path search algorithm. The required lifting equipment, tools, and manpower are allocated to each process to ensure that the dismantling and assembly capacity constraints are not exceeded. Finally, the process sequence, spatial path, and resource allocation are combined into a complete feasible dismantling and assembly scheme, and multiple dismantling and assembly process paths are obtained. Next, a cost function for equipment dismantling and assembly is constructed based on the power plant's equipment dismantling and assembly objectives. This function is used to quantitatively evaluate the cost advantages and disadvantages of each feasible dismantling and assembly process path. The objectives include the shortest construction period, the lowest cost, the lowest safety risk, and the most balanced resource consumption. Different weighting coefficients are set for time cost, labor cost, and risk cost to determine the equipment dismantling and assembly cost function. Finally, a global optimization is performed on multiple dismantling and assembly process paths based on the cost function. This involves substituting multiple dismantling and assembly process paths into the cost function, calculating their total cost values, and comparing them. Ultimately, the dismantling and assembly process path with the lowest overall cost is selected as the optimal operation plan for power plant equipment dismantling and assembly. This determines the equipment dismantling and assembly process path and greatly improves the standardization and operational safety of power plant equipment dismantling and assembly.

[0036] Furthermore, step S220 also includes step S221, constructing a hierarchical disassembly and assembly strategy for equipment, which includes equipment-level disassembly and assembly strategy, component-level disassembly and assembly strategy, and process-level disassembly and assembly strategy; step S222, according to the hierarchical disassembly and assembly strategy, performing disassembly and assembly path planning on the equipment-component-process three-level association model based on the disassembly and assembly space constraints and disassembly and assembly capability constraints, to obtain multiple hierarchical disassembly and assembly paths for equipment; step S223, performing conflict detection and dynamic replanning on the multiple hierarchical disassembly and assembly paths for equipment to determine the multiple disassembly and assembly process paths.

[0037] Preferably, a hierarchical disassembly and assembly strategy is constructed to manage disassembly and assembly at different levels, including equipment-level, component-level, and process-level strategies. Equipment-level strategies involve planning the operational sequence of the equipment and its surrounding equipment, outputting high-level operational timelines and time windows for large resource occupancy. Component-level strategies involve planning the disassembly / installation sequence of each functional component within the equipment, outputting the critical path points and approximate movement areas for each component within the plant. Process-level strategies involve planning the specific disassembly and assembly steps for specific components, outputting detailed tool movement trajectories, personnel operation steps, and precise process parameters.

[0038] Preferably, following the equipment hierarchical disassembly and assembly strategy, and based on disassembly and assembly space constraints and disassembly and assembly capacity constraints, disassembly and assembly path planning is performed on the three-level association model of equipment-component-process. This includes generating macro-level operation sequence schemes, such as scheme i repairing unit #1 first, and scheme j repairing unit #2 first. For each equipment-level scheme, component-level disassembly and assembly sequence and spatial path schemes are generated for each of its subordinate equipment components. For each component-level scheme, specific process operation schemes are generated for each of its subordinate components, thereby obtaining a scheme tree. The root node is the equipment-level scheme, which expands downward to the component-level and process-level schemes, ultimately determining multiple equipment hierarchical disassembly and assembly paths. Then, conflict detection is performed on the disassembly and assembly paths of multiple equipment levels, including detecting resource conflicts, spatiotemporal conflicts, and logical conflicts. When a conflict is detected, dynamic conflict planning is performed, that is, heuristic search is used to make local adjustments. For example, if it is found that two equipment need the main crane at the same time, the operation time window is automatically fine-tuned at the equipment level. If the conflict is resolved after adjustment, the verification continues to the next level. If it cannot be resolved, it backtracks to the component level and selects different component disassembly and assembly sequences to avoid resource peaks. Finally, conflicting solutions are eliminated, and feasible complete path solutions without resource conflicts at the equipment, component, and process levels are retained as multiple disassembly and assembly process paths to ensure the feasibility and scientific nature of the disassembly and assembly process paths.

[0039] Step S300: According to the equipment disassembly and assembly process path, the three-level association model of equipment-component-process is matched with the power industry standard in principle and specification to obtain the disassembly and assembly path matching description, and the disassembly and assembly path matching description is converted into disassembly and assembly path interactive voice.

[0040] Step S300 further includes step S310, constructing a power equipment principle knowledge base according to the power industry standard; step S320, performing hierarchical association matching between the equipment-component-process three-level association model and the power equipment principle knowledge base to obtain a hierarchical equipment principle knowledge graph; step S330, performing principle specification mapping on the equipment disassembly and assembly process path based on the hierarchical equipment principle knowledge graph to obtain the disassembly and assembly path matching description.

[0041] Preferably, unstructured documents contained in power industry standards are transformed into a power equipment principle knowledge base, including principle rules, functional relationships, and safety specifications. Then, entities in the equipment-component-process three-level association model are intelligently and hierarchically matched with the rules in the power equipment principle knowledge base, including equipment-level matching, component-level matching, and process-level matching, forming a knowledge graph. Specifically, power plant equipment is associated with the overall technical requirements and performance standards in the power equipment principle knowledge base; each equipment component is associated with the specific principles, material requirements, and functional specifications for that component in the power equipment principle knowledge base; and each process step is associated with the corresponding process in the power equipment principle knowledge base. The principles, parameter standards, and safety requirements are linked to obtain a hierarchical equipment principle knowledge graph. Nodes represent entities such as equipment, components, processes, rules, and parameters, while edges represent semantic relationships. Then, based on this hierarchical equipment principle knowledge graph, principle specifications are mapped to the equipment disassembly and assembly process paths. This involves traversing each process step in the disassembly and assembly process path and querying all associated principles and specifications in the hierarchical equipment principle knowledge graph. Simultaneously, it verifies whether the operational parameters in the disassembly and assembly process path meet the rules in the knowledge base, thereby generating explanatory descriptions for each operational step in the disassembly and assembly process path. Finally, a disassembly and assembly path matching description is obtained, greatly improving the standardization and safety of disassembly and assembly operations.

[0042] Furthermore, step S300 also includes step S340, obtaining the disassembly and assembly operation mode of the target power plant equipment, and configuring speech rate parameters according to the disassembly and assembly operation mode and the equipment disassembly and assembly reproduction time; step S350, performing key point identification on the disassembly and assembly path matching description to obtain the key points of the disassembly and assembly description, and configuring tone parameters according to the key points of the disassembly and assembly description; step S360, converting the disassembly and assembly path matching description into the disassembly and assembly path interactive voice based on the speech rate parameters and the tone parameters.

[0043] Preferably, the disassembly and assembly operation modes of the target power plant equipment are obtained, such as actual guidance mode, training mode, or rapid demonstration mode. In the actual guidance mode, the speech speed should be steady and normal to ensure that on-site personnel can hear clearly and execute immediately, such as 90 words per minute. In the training mode, the speech speed should be appropriately slowed down to allow time for understanding and digestion, such as 120 words per minute. In the rapid demonstration mode, the speech speed can be accelerated to quickly summarize the entire process, such as 160 words per minute. The equipment disassembly and assembly reproduction time refers to the total time required to complete the entire disassembly and assembly process. The basic speech speed is configured according to the disassembly and assembly operation mode, and then fine-tuned according to the equipment disassembly and assembly reproduction time to generate speech speed parameters, ensuring that the rhythm of voice guidance and 3D animation reproduction are synchronized. Then, natural language processing is used to identify key points in the disassembly and assembly path matching instructions, determining the content that needs to be emphasized. This may include safety warning keywords such as "caution," "danger," "high voltage," and "prohibition," key operational verbs such as "tighten," "measure," "confirm," and "lift," as well as numerical parameters. Based on the identified key points, different intonation parameters are set for the speech synthesis engine. For example, safety warnings and key operational words are emphasized and their pitch is raised; short pauses are inserted before logical transitions or important steps to draw attention; and a clearer and more stable tone is used when reading important values. Finally, the speech rate and intonation parameters are applied to the disassembly and assembly path matching instructions, and the speech synthesis engine generates interactive speech for the disassembly and assembly path. Specifically, the speech synthesis engine receives the disassembly and assembly path matching instructions in plain text format, sets the overall playback speed according to the configured speech rate parameters, and detects preset keywords in real time while processing the text based on the intonation parameters, automatically adjusting the emphasis, pitch, and rhythm of the pronunciation to achieve the effect of emphasis and warning, thereby improving the efficiency of human-computer interaction and ensuring the safety and accuracy of power plant equipment disassembly and assembly operations.

[0044] Step S400: Based on the equipment disassembly and assembly process path and the interactive voice of the disassembly and assembly path, the physical three-dimensional model is digitally reproduced for disassembly and assembly and the maintenance trajectory is verified.

[0045] Step S400 further includes step S410, which involves digitally reproducing the disassembly and assembly process path and verifying the maintenance trajectory of the physical 3D model based on the equipment disassembly and assembly process path and the interactive voice of the disassembly and assembly path, and determining the equipment disassembly and assembly standardization verification result; step S420, which involves issuing a disassembly and assembly risk warning for the target power plant equipment based on the equipment disassembly and assembly standardization verification result.

[0046] Preferably, in a 3D visualization environment, the physical 3D model is driven to perform an animated simulation of the disassembly and assembly process according to the equipment disassembly and assembly procedure path and the synchronous disassembly and assembly path interactive voice. The operation trajectory is monitored and verified in real time. Specifically, the physical 3D model moves, rotates, disassembles, and installs according to the procedure sequence to demonstrate and verify the feasibility and smoothness of the entire disassembly and assembly process. At the same time, the motion trajectory, attitude, speed, and other data of each component in the simulation are recorded in real time. The actual trajectory of the simulation is compared with the process specifications in the disassembly and assembly path matching instructions, including geometric verification and process verification. For example, whether the actual motion trajectory always maintains a safe distance from obstacles, and whether the components are properly positioned during the hoisting process. The system assesses whether collisions will occur, whether the crane's movement speed is stable, and whether the component's posture remains within a safe range. This determines the compliance, warning, and non-compliance items in the disassembly and assembly process. Finally, the compliance and warning results are transformed into specific risk alerts for the target power plant equipment. This includes analyzing the compliance and warning results, identifying risk types, levels, and locations, displaying warning icons, highlighting dangerous areas, or playing dangerous animations at corresponding locations in the physical 3D model, and inserting warning prompts into interactive voice broadcasts. This ensures the safety, reliability, and compliance of power plant equipment disassembly and assembly operations.

[0047] In the above text, refer to Figure 1 The method for digital reproduction and verification of power plant equipment disassembly and assembly according to embodiments of the present invention is described in detail. Next, reference will be made to... Figure 2 A digital reproduction and verification system for the disassembly and assembly of power plant equipment according to an embodiment of the present invention is described.

[0048] The digital reproduction and verification system for power plant equipment disassembly and assembly according to embodiments of the present invention addresses the technical problems in existing technologies where equipment disassembly and assembly lacks voice interaction support and real-time verification capabilities, and suffers from insufficient standardization, resulting in poor accuracy, safety, and efficiency in power plant equipment disassembly and assembly. It achieves standardized and intelligent equipment disassembly and assembly, improving the standardization, operational safety, and maintenance efficiency of power plant equipment disassembly and assembly. Figure 2 As shown, the digital reproduction and verification system for power plant equipment disassembly and assembly includes: an association model establishment module 10, a disassembly and assembly path analysis module 20, a principle and specification matching module 30, and a disassembly and assembly reproduction and verification module 40.

[0049] The association model establishment module 10 is used to scan the physical 3D model of the target power plant equipment, analyze the disassembly and assembly of the physical 3D model according to the power industry standards, and establish a three-level association model of equipment-component-process. The disassembly and assembly path analysis module 20 is used to build a power plant disassembly and assembly environment based on the application scenario information of the target power plant equipment, import the equipment-component-process three-level association model into the power plant disassembly and assembly environment for disassembly and assembly path analysis, and determine the equipment disassembly and assembly process path. The principle specification matching module 30 is used to match the equipment-component-process three-level association model with the power industry standards according to the equipment disassembly and assembly process path, obtain the disassembly and assembly path matching description, and convert the disassembly and assembly path matching description into disassembly and assembly path interactive voice. The disassembly and assembly reproduction verification module 40 is used to perform digital disassembly and assembly reproduction and maintenance trajectory verification of the physical 3D model based on the equipment disassembly and assembly process path and the disassembly and assembly path interactive voice.

[0050] The specific configuration of the association model establishment module 10 will be described in detail below. The association model establishment module 10 further includes: decomposing the entity 3D model into functional components according to the power industry standard to obtain N power plant equipment functional components; labeling the attributes of each of the N power plant equipment functional components to obtain N functional component attribute tags; encoding the process disassembly and assembly of the N power plant equipment functional components according to the N functional component attribute tags to obtain N component disassembly and assembly process identification codes; and establishing the equipment-component-process three-level association model based on the entity 3D model, the N power plant equipment functional components, and the N component disassembly and assembly process identification codes through three-level visual association.

[0051] The following will describe in detail the specific configuration of the association model establishment module 10. The association model establishment module 10 further includes: determining the equipment splitting granularity based on the power industry standards and power plant equipment disassembly and assembly requirements; parsing the process disassembly and assembly logic of the N power plant equipment functional components according to the N functional component attribute tags to obtain N component attribute tags-process disassembly and assembly logic; designing disassembly and assembly coding for the N component attribute tags-process disassembly and assembly logic based on the equipment splitting granularity to build an equipment component disassembly and assembly coding system; and encoding the N component attribute tags-process disassembly and assembly logic based on the equipment component disassembly and assembly coding system to obtain the N component disassembly and assembly process identification codes.

[0052] The specific configuration of the association model establishment module 10 will be described in detail below. The association model establishment module 10 further includes: determining the equipment component disassembly and assembly coding level based on the equipment splitting granularity; extracting process content from the N component attribute tags-process disassembly and assembly logic based on the equipment component disassembly and assembly coding level to obtain N component disassembly and assembly process level content; designing disassembly and assembly coding based on the equipment component disassembly and assembly coding level and the N component disassembly and assembly process level content to obtain the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters; and constructing the equipment component disassembly and assembly coding system based on the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters.

[0053] The specific configuration of the disassembly and assembly path analysis module 20 will be described in detail below. The disassembly and assembly path analysis module 20 further includes: determining disassembly and assembly space constraints and disassembly and assembly capacity constraints based on the power plant disassembly and assembly environment; performing disassembly and assembly path planning on the equipment-component-process three-level association model based on the disassembly and assembly space constraints and disassembly and assembly capacity constraints to determine multiple disassembly and assembly process paths; constructing an equipment disassembly and assembly cost function based on the power plant equipment disassembly and assembly objectives; and performing global optimization on the multiple disassembly and assembly process paths based on the equipment disassembly and assembly cost function to determine the equipment disassembly and assembly process path.

[0054] The following will describe the specific configuration of the disassembly and assembly path analysis module 20 in detail. The disassembly and assembly path analysis module 20 further includes: constructing a hierarchical disassembly and assembly strategy, which includes equipment-level, component-level, and process-level disassembly and assembly strategies; planning disassembly and assembly paths for the equipment-component-process three-level association model based on the disassembly and assembly space constraints and disassembly and assembly capability constraints according to the hierarchical disassembly and assembly strategy, resulting in multiple hierarchical disassembly and assembly paths; and performing conflict detection and dynamic replanning on the multiple hierarchical disassembly and assembly paths to determine the multiple disassembly and assembly process paths.

[0055] The specific configuration of the principle specification matching module 30 will be described in detail below. The principle specification matching module 30 further includes: constructing a power equipment principle knowledge base based on the power industry standards; performing hierarchical association matching between the equipment-component-process three-level association model and the power equipment principle knowledge base to obtain a hierarchical equipment principle knowledge graph; and mapping the principle specifications of the equipment disassembly and assembly process paths based on the hierarchical equipment principle knowledge graph to obtain the disassembly and assembly path matching description.

[0056] The specific configuration of the principle specification matching module 30 will be described in detail below. The principle specification matching module 30 further includes: acquiring the disassembly and assembly operation mode of the target power plant equipment; configuring speech rate parameters based on the disassembly and assembly operation mode and the equipment disassembly and assembly reproduction time; identifying key points in the disassembly and assembly path matching description to obtain key points of the disassembly and assembly description; configuring tone parameters based on the key points of the disassembly and assembly description; and converting the disassembly and assembly path matching description into interactive voice for the disassembly and assembly path based on the speech rate parameters and the tone parameters.

[0057] The specific configuration of the disassembly and assembly reproduction verification module 40 will be described in detail below. The disassembly and assembly reproduction verification module 40 further includes: performing digital disassembly and assembly reproduction and maintenance trajectory verification on the physical 3D model based on the equipment disassembly and assembly process path and the interactive voice of the disassembly and assembly path, and determining the equipment disassembly and assembly standardization verification result; and providing disassembly and assembly risk warning for the target power plant equipment through the equipment disassembly and assembly standardization verification result.

[0058] The digital reproduction and verification system for power plant equipment disassembly and assembly provided in this embodiment of the invention can execute the digital reproduction and verification method for power plant equipment disassembly and assembly provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0059] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0060] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for digital reproduction and verification of power plant equipment disassembly and assembly, characterized in that, The method includes: Scan the physical 3D model of the target power plant equipment, disassemble and analyze the physical 3D model according to power industry standards, and establish a three-level association model of equipment-component-process. Based on the application scenario information of the target power plant equipment, a power plant disassembly and assembly environment is built. The three-level association model of equipment-component-process is imported into the power plant disassembly and assembly environment to perform disassembly and assembly path analysis and determine the equipment disassembly and assembly process path. According to the equipment disassembly and assembly process path, the three-level association model of equipment-component-process is matched with the power industry standard in principle and specification to obtain the disassembly and assembly path matching description, and the disassembly and assembly path matching description is converted into disassembly and assembly path interactive voice. Based on the equipment disassembly and assembly process path and the interactive voice of the disassembly and assembly path, the physical 3D model is digitally reproduced for disassembly and assembly and the maintenance trajectory is verified.

2. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 1, characterized in that, The establishment of the three-level association model of equipment-component-process includes: According to the power industry standard, the physical 3D model is decomposed into functional components to obtain N power plant equipment functional components. Each of the N functional components of the power plant equipment is labeled with attributes to obtain N functional component attribute labels; According to the attribute tags of the N functional components, the process disassembly and assembly codes of the N power plant equipment functional components are coded to obtain N component disassembly and assembly process identification codes; Based on the three-dimensional model of the entity, the N functional components of the power plant equipment, and the identification codes of the N component disassembly and assembly processes, a three-level visualization association is established to create a three-level association model of equipment-component-process.

3. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 2, characterized in that, The process of obtaining N component disassembly and assembly process identification codes includes: The equipment disassembly granularity is determined based on the aforementioned power industry standards and power plant equipment disassembly and assembly requirements; Based on the N functional component attribute tags, the process disassembly and assembly logic of the N power plant equipment functional components is parsed to obtain N component attribute tags - process disassembly and assembly logic; Based on the equipment splitting granularity, the disassembly and assembly coding design of the N component attribute tags and process disassembly and assembly logic is carried out to build an equipment component disassembly and assembly coding system. Based on the equipment component disassembly and assembly coding system, the N component attribute tags and process disassembly and assembly logic are encoded to obtain the disassembly and assembly process identification codes of the N components.

4. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 3, characterized in that, The assembly and disassembly coding system for the equipment components includes: Based on the equipment breakdown granularity, determine the equipment component assembly and disassembly coding level; Based on the equipment component disassembly and assembly coding hierarchy, the process content of the N component attribute tags-process disassembly and assembly logic is extracted to obtain the disassembly and assembly process hierarchy content of N components. Based on the equipment component disassembly and assembly coding hierarchy and the content of the N component disassembly and assembly process hierarchy, a disassembly and assembly coding design is carried out to obtain the component disassembly and assembly coding sequence, component disassembly and assembly coding content, and component disassembly and assembly coding characters. Based on the component assembly / disassembly coding sequence, component assembly / disassembly coding content, and component assembly / disassembly coding characters, a component assembly / disassembly coding system for the equipment is established.

5. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 1, characterized in that, The process of determining the equipment disassembly and assembly steps includes: Based on the power plant's dismantling and assembly environment, determine the dismantling and assembly space constraints and dismantling and assembly capacity constraints. Based on the disassembly and assembly space constraints and disassembly and assembly capability constraints, the equipment-component-process three-level association model is used to plan disassembly and assembly paths to determine multiple disassembly and assembly process paths. Based on the power plant equipment dismantling and assembly targets, construct an equipment dismantling and assembly cost function; Based on the equipment disassembly and assembly cost function, the multiple disassembly and assembly process paths are globally optimized to determine the equipment disassembly and assembly process paths.

6. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 5, characterized in that, The determination of multiple disassembly and assembly process paths includes: A hierarchical disassembly and assembly strategy for equipment is constructed, which includes equipment-level disassembly and assembly strategy, component-level disassembly and assembly strategy and process-level disassembly and assembly strategy; Based on the equipment hierarchical disassembly and assembly strategy, and the disassembly and assembly space constraints and disassembly and assembly capability constraints, the equipment-component-process three-level association model is used to plan the disassembly and assembly path, resulting in multiple equipment hierarchical disassembly and assembly paths. Conflict detection and dynamic replanning are performed on the hierarchical disassembly and assembly paths of the multiple devices to determine the multiple disassembly and assembly process paths.

7. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 1, characterized in that, The obtained disassembly and assembly path matching description includes: Based on the aforementioned power industry standards, a knowledge base for the principles of power equipment will be constructed. The equipment-component-process three-level association model is matched with the power equipment principle knowledge base to obtain a hierarchical equipment principle knowledge graph. Based on the knowledge graph of the graded equipment principle, the disassembly and assembly process path of the equipment is mapped according to the principle specifications to obtain the disassembly and assembly path matching description.

8. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 1, characterized in that, The step of converting the disassembly and assembly path matching instructions into interactive voice for the disassembly and assembly path includes: Obtain the disassembly and assembly operation mode of the target power plant equipment, and configure the speech rate parameter according to the disassembly and assembly operation mode and the equipment disassembly and assembly reproduction time; The disassembly and assembly path matching description is analyzed for key points to obtain key points of the disassembly and assembly description. Based on the key points of the disassembly and assembly description, tone parameters are configured. Based on the speech rate parameter and the tone parameter, the disassembly and assembly path matching instructions are converted into interactive speech for the disassembly and assembly path.

9. The digital reproduction and verification method for disassembly and assembly of power plant equipment as described in claim 1, characterized in that, The process of digitally reproducing the disassembly and assembly of the physical 3D model and verifying the maintenance trajectory based on the equipment disassembly and assembly process path and the interactive voice of the disassembly and assembly path includes: Based on the equipment disassembly and assembly process path and the interactive voice of the disassembly and assembly path, the physical 3D model is digitally reproduced and the maintenance trajectory is verified to determine the equipment disassembly and assembly standardization verification result. The results of the standardization verification of the equipment disassembly and assembly are used to issue early warnings of disassembly and assembly risks for the target power plant equipment.

10. A digital reproduction and verification system for the disassembly and assembly of power plant equipment, characterized in that, The system is used to implement the digital reproduction and verification method for disassembly and assembly of power plant equipment as described in any one of claims 1 to 9, and the system includes: The association model establishment module is used to scan the physical 3D model of the target power plant equipment, disassemble and analyze the physical 3D model according to power industry standards, and establish a three-level association model of equipment-component-process. The disassembly and assembly path analysis module is used to build a power plant disassembly and assembly environment based on the application scenario information of the target power plant equipment, import the equipment-component-process three-level association model into the power plant disassembly and assembly environment for disassembly and assembly path analysis, and determine the equipment disassembly and assembly process path. The principle specification matching module is used to match the three-level association model of equipment-component-process with the power industry standard according to the equipment disassembly and assembly process path, obtain the disassembly and assembly path matching description, and convert the disassembly and assembly path matching description into disassembly and assembly path interactive voice. The disassembly and assembly reproduction and verification module is used to digitally reproduce the disassembly and assembly process path of the equipment and the interactive voice of the disassembly and assembly path to verify the maintenance trajectory of the three-dimensional model of the entity.

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