Construction method and query method of nuclear power item three-dimensional model library and related devices

Abstract

The invention relates to the technical field of nuclear power plants, in particular to a nuclear power item three-dimensional model library construction method, a nuclear power item three-dimensional model library query method and related devices. The construction method of the nuclear power item three-dimensional model library comprises the steps of firstly obtaining nuclear power item three-dimensional models of a plurality of nuclear power plant items and matched design information of the nuclear power item three-dimensional models, performing fineness evaluation and grading on each nuclear power item three-dimensional model, and determining the fineness level of the nuclear power item three-dimensional model; and then configuring a model mapping relation based on the fineness level, and finally constructing a three-dimensional model library. According to the query method of the nuclear power item three-dimensional model library, target model features and fineness constraints are analyzed by obtaining business demand information, and a target nuclear power model is queried in the three-dimensional model library based on the conditions. According to the method, the problem that the granularity of the nuclear power plant three-dimensional model is inconsistent in the design and operation and maintenance stages is effectively solved, the applicability and practicability of the nuclear power item three-dimensional model are improved, and support is provided for full-life-cycle management of the nuclear power plant.

Description

Technical Field

[0001] The present application relates to the technical field of nuclear power plants, and in particular to a method for constructing a three-dimensional model library of nuclear power items, a query method, and related devices. Background Art

[0002] With the advancement of industry digitalization, the application of 3D models in nuclear power plants has gradually expanded from the design stage to the operation and maintenance stage. A 3D model of a nuclear power plant is created by modeling the appearance of the materials used in the plant and assigning design parameters. This is then assembled into a complete design model using 3D layout design software, allowing for intuitive viewing of the plant's structure and design information within the 3D design software.

[0003] However, during the design phase of a nuclear power plant 3D model, the primary focus is on the overall footprint and connection port information. During the operation and maintenance phase, however, the 3D model must be adaptable to a wide variety of operational needs. Consequently, the inconsistent granularity of the 3D model during the design and operation phases makes it difficult for pre-designed 3D models to meet the actual needs of the operation and maintenance phase, limiting their applicability. Summary of the Invention

[0004] This application aims to address at least one of the technical issues existing in the related art. To this end, this application proposes a method for constructing a three-dimensional model library for nuclear power items, a query method, and related devices. These methods effectively address the issue of inconsistent granularity in nuclear power plant three-dimensional models during the design and operation and maintenance phases, thereby improving the applicability and practicality of nuclear power plant three-dimensional models.

[0005] According to the first embodiment of the present application, a method for constructing a three-dimensional model library of nuclear power items includes:

[0006] Acquiring three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each of the three-dimensional models of the nuclear power items;

[0007] Based on each of the model design information, performing a precision level assessment on the corresponding three-dimensional model of the nuclear power item to obtain precision level assessment information of each of the three-dimensional models of the nuclear power item;

[0008] performing a grading comparison in a preset model fineness grading benchmark based on the fineness assessment information to determine the model fineness level of each of the three-dimensional models of the nuclear power item;

[0009] configuring a model mapping relationship for each of the three-dimensional models of the nuclear power items based on the model refinement level;

[0010] Based on the model mapping relationship, a three-dimensional model library is constructed to store the three-dimensional models of each of the nuclear power items.

[0011] According to some embodiments of the present application, the model fineness grading benchmark includes a project-level benchmark, a function-level benchmark, a component-level benchmark, and a part-level benchmark. The grading comparison is performed in a preset model fineness grading benchmark based on the fineness assessment information to determine the model fineness level of each of the three-dimensional models of the nuclear power item, including:

[0012] In response to the granularity assessment information satisfying the project-level benchmark and not satisfying the function-level benchmark, the component-level benchmark, and the part-level benchmark, determining the model granularity level of the three-dimensional model of the nuclear power item to be a first granularity level;

[0013] In response to the granularity assessment information satisfying the project-level benchmark and the function-level benchmark, but not satisfying the component-level benchmark and the part-level benchmark, determining the model granularity level of the three-dimensional model of the nuclear power item to be a second granularity level;

[0014] In response to the granularity assessment information satisfying the project-level benchmark, the function-level benchmark, and the component-level benchmark, but not satisfying the part-level benchmark, determining the model granularity level of the three-dimensional model of the nuclear power item to be a third granularity level;

[0015] In response to the precision assessment information satisfying the project-level benchmark, the function-level benchmark, the component-level benchmark and the part-level benchmark, the model precision level of the three-dimensional model of the nuclear power item is determined to be a fourth precision level.

[0016] According to some embodiments of the present application, configuring a model mapping relationship for each of the three-dimensional models of the nuclear power items based on the model refinement level includes:

[0017] Based on each of the model design information, performing a model category assessment on the corresponding three-dimensional model of the nuclear power item to obtain model category assessment information of each of the three-dimensional models of the nuclear power item;

[0018] performing a category comparison in a preset model category classification benchmark based on the model category assessment information to determine the nuclear power model category of each of the three-dimensional models of the nuclear power item;

[0019] Based on the model refinement level and the nuclear power model category, the model mapping relationship is configured for each of the three-dimensional models of the nuclear power items.

[0020] According to some embodiments of the present application, the nuclear power model category includes a primary category matching the first fine level, a secondary category matching the second fine level, a tertiary category matching the third fine level, and a quaternary category matching the fourth fine level. Configuring the model mapping relationship for each of the three-dimensional models of the nuclear power item based on the model fineness level and the nuclear power model category includes:

[0021] In response to the three-dimensional model of the nuclear power item belonging to the first level of refinement, configuring the model mapping relationship for the three-dimensional model of the nuclear power item according to the first level of refinement and the first-level category;

[0022] In response to the three-dimensional model of the nuclear power item belonging to the second level of refinement, configuring the model mapping relationship for the three-dimensional model of the nuclear power item according to the second level of refinement and the secondary category;

[0023] In response to the three-dimensional model of the nuclear power item belonging to the third level of refinement, configuring the model mapping relationship for the three-dimensional model of the nuclear power item according to the third level of refinement and the three-level categories;

[0024] In response to the three-dimensional model of the nuclear power item belonging to the fourth level of refinement, the model mapping relationship is configured for the three-dimensional model of the nuclear power item according to the fourth level of refinement and the four-level category.

[0025] According to some embodiments of the present application, obtaining three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each of the three-dimensional models of nuclear power items includes:

[0026] Performing modeling operations on the plurality of nuclear power plant items based on a preset three-dimensional model design benchmark to obtain a three-dimensional model of the nuclear power item corresponding to each of the nuclear power plant items;

[0027] The three-dimensional model of the nuclear power item is analyzed based on the three-dimensional model design benchmark to obtain the model design information matching each three-dimensional model of the nuclear power item.

[0028] According to the second embodiment of the present application, a method for querying a three-dimensional model library of nuclear power items includes:

[0029] Obtain business demand information;

[0030] Performing demand analysis on the business demand information to obtain target model feature information and precision level constraints;

[0031] Based on the target model feature information and the fineness level constraint, a query is performed in the three-dimensional model library to obtain the target nuclear power model; wherein, the three-dimensional model library is constructed by the method for constructing a three-dimensional model library of nuclear power items described in any one of the embodiments of the first aspect of the present application.

[0032] According to some embodiments of the present application, querying in a three-dimensional model library based on the target model feature information and the fineness level constraint to obtain a target nuclear power model includes:

[0033] Searching the three-dimensional model library based on the target model feature information to obtain a first candidate nuclear power model;

[0034] In response to the first candidate nuclear power model satisfying the fineness level constraint, the first candidate nuclear power model is determined as the target nuclear power model.

[0035] According to some embodiments of the present application, after querying the three-dimensional model library based on the target model feature information to obtain a first candidate nuclear power model, the method further includes:

[0036] In response to the first candidate nuclear power model not satisfying the fineness level constraint, performing a model customization operation based on the target model feature information and the fineness level constraint to obtain a first candidate customized model;

[0037] In response to the first candidate customized model satisfying the level of granularity constraint, the first candidate customized model is determined as the target nuclear power model.

[0038] According to some embodiments of the present application, in response to the first candidate nuclear power model not satisfying the fineness level constraint, performing a model customization operation based on the target model feature information and the fineness level constraint to obtain a first candidate customized model includes:

[0039] In response to the first candidate nuclear power model not satisfying the fineness level constraint, comparing the model design information of the first candidate nuclear power model with the target model feature information to determine a fineness difference item;

[0040] Based on the fineness difference item, the fineness adjustment is performed on the first candidate nuclear power model to obtain the first candidate customized model.

[0041] According to some embodiments of the present application, adjusting the fineness of the first candidate nuclear power model based on the fineness difference item to obtain the first candidate customized model includes:

[0042] In response to the fineness difference item reflecting that the fineness level of the target model feature information is higher than the fineness level of the first candidate nuclear power model, performing an advanced drawing operation based on the first candidate nuclear power model to obtain the first candidate customized model;

[0043] In response to the fineness difference item reflecting that the fineness level of the target model feature information is lower than the fineness level of the first candidate nuclear power model, a regression mapping operation is performed based on the first candidate nuclear power model to obtain the first candidate customized model.

[0044] According to some embodiments of the present application, querying in a three-dimensional model library based on the target model feature information and the fineness level constraint to obtain a target nuclear power model includes:

[0045] Performing a query in the three-dimensional model library based on the target model feature information;

[0046] In response to the three-dimensional model library being unable to find a three-dimensional model of a nuclear power item that meets the target model characteristic information, performing a model customization operation based on the target model characteristic information and the fineness level constraint to obtain a second candidate customized model;

[0047] In response to the second candidate customized model satisfying the level of granularity constraint, the second candidate customized model is determined as the target nuclear power model.

[0048] According to the third embodiment of the present application, a device for constructing a three-dimensional model library of nuclear power items includes:

[0049] a three-dimensional model acquisition module, configured to acquire three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each of the three-dimensional models of the nuclear power items;

[0050] a precision level assessment module, configured to perform precision level assessment on the corresponding three-dimensional model of the nuclear power item based on each of the model design information, and obtain precision level assessment information of each three-dimensional model of the nuclear power item;

[0051] a grading comparison module, configured to perform a grading comparison in a preset model fineness grading benchmark according to the fineness evaluation information, so as to determine the model fineness level of each of the three-dimensional models of the nuclear power item;

[0052] A mapping configuration module, configured to configure a model mapping relationship for each of the three-dimensional models of the nuclear power items based on the model refinement level;

[0053] A model library construction module is used to construct a three-dimensional model library that stores the three-dimensional models of each nuclear power item based on the model mapping relationship.

[0054] According to a fourth aspect of the present application, a query device for a three-dimensional model library of nuclear power items includes:

[0055] Business information acquisition module, used to obtain business demand information;

[0056] A business requirement analysis module is used to analyze the business requirement information to obtain target model feature information and precision level constraints;

[0057] A query module is used to query in a three-dimensional model library based on the target model feature information and the fineness level constraint to obtain a target nuclear power model; wherein, the three-dimensional model library is constructed by the method for constructing a three-dimensional model library of nuclear power items described in any one of the embodiments of the first aspect of the present application.

[0058] In a fifth aspect, an embodiment of the present application provides an electronic device, comprising: a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements a method for constructing a three-dimensional model library of nuclear power items or a method for querying a three-dimensional model library of nuclear power items as described in any one of the embodiments of the present application.

[0059] In a sixth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a program, and the program is executed by a processor to implement a method for constructing a three-dimensional model library of nuclear power items or a method for querying a three-dimensional model library of nuclear power items as described in any one of the embodiments of the present application.

[0060] According to the embodiment of the present application, a method for constructing a three-dimensional model library of nuclear power items, a query method, and related devices have at least the following beneficial effects:

[0061] The method for constructing a three-dimensional model library of nuclear power items in an embodiment of the present application requires first obtaining three-dimensional nuclear power item models corresponding to multiple nuclear power plant items and model design information matching each three-dimensional nuclear power item model; based on each model design information, performing a fineness level assessment on the corresponding three-dimensional nuclear power item model to obtain fineness assessment information of each three-dimensional nuclear power item model; performing a graded comparison in a preset model fineness grading benchmark based on the fineness assessment information to determine the model fineness level of each three-dimensional nuclear power item model; based on the model fineness level, configuring a model mapping relationship for each three-dimensional nuclear power item model; and based on the model mapping relationship, constructing a three-dimensional model library for storing each three-dimensional nuclear power item model.

[0062] The query method of the three-dimensional model library of nuclear power items in the embodiment of the present application needs to first obtain business demand information; then perform demand analysis on the business demand information to obtain target model feature information and precision level constraints; based on the target model feature information and precision level constraints, query in the three-dimensional model library to obtain the target nuclear power model; wherein, the three-dimensional model library is constructed by the construction method of the three-dimensional model library of nuclear power items of any one of the embodiments of the first aspect of the present application.

[0063] In this way, the present application can effectively solve the problem of inconsistent granularity of the three-dimensional model of the nuclear power plant in the design stage and the operation and maintenance stage, and improve the applicability and practicality of the three-dimensional model of the nuclear power plant.

[0064] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become obvious from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0066] Figure 1 A schematic flow chart of a method for constructing a three-dimensional model library of nuclear power items provided in an embodiment of the present application;

[0067] Figure 2 Another flowchart of the method for constructing a three-dimensional model library of nuclear power items according to an embodiment of the present application is shown;

[0068] Figure 3 Another flowchart of the method for constructing a three-dimensional model library of nuclear power items according to an embodiment of the present application is shown;

[0069] Figure 4 Another flowchart of the method for constructing a three-dimensional model library of nuclear power items according to an embodiment of the present application is shown;

[0070] Figure 5 Another flowchart of the method for constructing a three-dimensional model library of nuclear power items according to an embodiment of the present application is shown;

[0071] Figure 6 A schematic diagram of a flow chart of a method for querying a three-dimensional model library of nuclear power items provided in an embodiment of the present application;

[0072] Figure 7 This is another flowchart of a method for querying a three-dimensional model library of nuclear power items according to an embodiment of the present application;

[0073] Figure 8 This is another flowchart of a method for querying a three-dimensional model library of nuclear power items according to an embodiment of the present application;

[0074] Figure 9 This is another flowchart of a method for querying a three-dimensional model library of nuclear power items according to an embodiment of the present application;

[0075] Figure 10 This is another flowchart of a method for querying a three-dimensional model library of nuclear power items according to an embodiment of the present application;

[0076] Figure 11 This is another flowchart of a method for querying a three-dimensional model library of nuclear power items according to an embodiment of the present application;

[0077] Figure 12 Schematic diagram of the structure of a device for constructing a three-dimensional model library of nuclear power items provided in an embodiment of the present application;

[0078] Figure 13 This is a schematic diagram of the structure of a query device for a three-dimensional model library of nuclear power items provided in an embodiment of the present application;

[0079] Figure 14 This is a schematic diagram of the hardware structure of the electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0080] The following describes in detail embodiments of the present application. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application and are not to be construed as limiting the present application.

[0081] In the description of this application, "several" means one or more, "many" means more than two, "greater than," "less than," and "exceed" are understood to exclude the number itself, while "above," "below," and "within" are understood to include the number itself. The terms "first" and "second" are used solely to distinguish technical features and are not to be construed as indicating or implying relative importance, or as implicitly specifying the number or order of the technical features indicated.

[0082] In the description of this application, it should be understood that descriptions involving orientations, such as up, down, left, right, front, and back, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as limitations on this application.

[0083] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0084] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "set," "install," and "connect" should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in this application based on the specific content of the technical solution. In addition, the identification of specific steps below does not represent a limitation on the order of steps and execution logic. The execution order and execution logic between each step should be understood and inferred with reference to the content described in the embodiments.

[0085] With the advancement of industry digitalization, the application of 3D models in nuclear power plants has gradually expanded from the design phase to the operation and maintenance phase. A 3D model of a nuclear power plant is created by modeling the appearance of the plant's materials and assigning design parameters. This is then assembled into a complete design model within 3D layout design software, allowing for intuitive viewing of the plant's structure and design information. However, the application of 3D models during the operation and maintenance phase faces several challenges and issues.

[0086] There are significant differences between the requirements for nuclear power plant O&M 3D models and their design 3D models. During the design phase, 3D models primarily focus on overall footprint and connection port information, whereas during the O&M phase, 3D models must adapt to diverse operational needs. This granularity discrepancy leads to the practice of directly using the design 3D model and its parameters as the basis for the O&M model, which fails to fully meet the actual O&M requirements.

[0087] Furthermore, the 3D model design software used in various specialized areas of nuclear power plants is not standardized. For example, PDMS is used for 3D layout design, while Bentley is used for civil structure design. This software inconsistency results in varying sources for 3D models and inconsistent model design standards, making data processing difficult. Models generated by different software differ in data formats, accuracy requirements, and information presentation methods. This not only complicates data integration but can also lead to information loss or inaccuracies, impacting the efficiency and quality of operations and maintenance.

[0088] Another issue is the lack of a unified standard for the level of refinement in 3D models. The O&M phase requires a high level of model refinement to accurately represent the equipment's exterior and internal structure, supporting precise O&M operations. However, the current lack of a unified standard for model refinement makes it difficult for models from different sources to achieve the desired results in O&M applications, failing to meet the high standards required for power plant O&M.

[0089] In summary, the transition of 3D models from the design phase to the operation and maintenance phase of nuclear power plants faces technical challenges such as inconsistent model sources, inconsistent design standards, and a level of refinement that fails to meet O&M requirements. These issues limit the effective application of 3D models in nuclear power plant O&M and require unified standards and specifications, as well as the development of more advanced model conversion and integration technologies, to fully leverage the value of 3D models in the full lifecycle management of nuclear power plants.

[0090] This application aims to address at least one of the technical issues existing in the related art. To this end, this application proposes a method for constructing a three-dimensional model library for nuclear power items, a query method, and related devices. These methods effectively address the issue of inconsistent granularity in nuclear power plant three-dimensional models during the design and operation and maintenance phases, thereby improving the applicability and practicality of nuclear power plant three-dimensional models.

[0091] The following is a further explanation based on the accompanying drawings.

[0092] Reference Figure 1 According to the method for constructing a three-dimensional model library of nuclear power items in an embodiment of the present application, the method may include:

[0093] Step S101, obtaining three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each three-dimensional model of the nuclear power item;

[0094] Step S102: Based on each model design information, a precision level assessment is performed on the corresponding three-dimensional model of the nuclear power item to obtain precision level assessment information of each three-dimensional model of the nuclear power item;

[0095] Step S103: performing a grading comparison in a preset model fineness grading benchmark based on the fineness evaluation information to determine the model fineness level of each nuclear power item three-dimensional model;

[0096] Step S104: configuring a model mapping relationship for each nuclear power item three-dimensional model based on the model refinement level;

[0097] Step S105: Based on the model mapping relationship, a three-dimensional model library is constructed to store the three-dimensional models of various nuclear power items.

[0098] In some embodiments, step S101 includes obtaining three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each three-dimensional model of the nuclear power item;

[0099] It's important to note that obtaining 3D models corresponding to multiple nuclear power plant items and their corresponding model design information is a crucial foundational step in building a 3D model library for nuclear power plants. This process not only determines the diversity and completeness of the models in the library but also directly impacts subsequent refinement assessments and the overall quality of the library. 3D models of nuclear power plant items are generated through precise 3D modeling of their appearance, while model design information comprises the detailed parameters and properties of these models, including item dimensions, shape, material properties, and design parameters. This information serves as a crucial basis for subsequent refinement assessments and the configuration of model mapping relationships.

[0100] When acquiring 3D models and design information, data accuracy and consistency must be ensured. Nuclear power plants contain a wide variety of items, including reactors, steam generators, pumps, valves, piping, and other equipment and structural components. The 3D model of each item must precisely match its design information to ensure that the model truly reflects the item's actual state and design requirements. For example, a 3D model of a complex nuclear island device may include not only external geometry information but also detailed design parameters such as interface dimensions, material properties, and operating parameters. The completeness of this information directly impacts the effectiveness of the model during operation and maintenance.

[0101] In addition, the process of obtaining three-dimensional models and design information needs to consider the source and format of the data. The three-dimensional models of nuclear power plants may come from different design units, manufacturers, or third-party platforms. These three-dimensional models may differ in data format, accuracy requirements, and information expression methods. Therefore, in some embodiments, when obtaining three-dimensional models, it is necessary to standardize the three-dimensional models to ensure that various three-dimensional models can be managed and applied under a unified framework. For example, three-dimensional models from different sources can be converted into a unified file format, and the accuracy and information integrity of the three-dimensional models can be verified and supplemented.

[0102] It should be understood that the process of acquiring 3D models and design information lays the foundation for subsequent precision assessment and 3D model library construction. This process ensures that each 3D model in the 3D model library has complete geometric information and design parameters, providing accurate data support for subsequent precision assessment. This process also lays the foundation for configuring model mapping relationships, enabling the 3D model library to flexibly adapt to changing requirements at different stages of a nuclear power plant.

[0103] Reference Figure 2According to some embodiments of the present application, step S101 of obtaining three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each three-dimensional model of the nuclear power item may include:

[0104] Step S201: Modeling multiple nuclear power plant items based on a preset three-dimensional model design benchmark to obtain a three-dimensional nuclear power item model corresponding to each nuclear power plant item;

[0105] Step S202 : performing model analysis on the three-dimensional model of the nuclear power item based on the three-dimensional model design benchmark to obtain model design information matching each three-dimensional model of the nuclear power item.

[0106] In some embodiments, step S201 is to perform a modeling operation on a plurality of nuclear power plant items based on a preset three-dimensional model design benchmark to obtain a three-dimensional nuclear power item model corresponding to each nuclear power plant item;

[0107] It should be noted that modeling operations for multiple nuclear power plant items are based on pre-set 3D model design benchmarks. This step ensures model accuracy and consistency. Pre-set 3D model design benchmarks are a set of standardized rules and specifications that guide the 3D modeling of nuclear power plant items. These benchmarks may include requirements for geometric accuracy, completeness of attribute information, and degree of parameterization. By adhering to these benchmarks, it is ensured that the 3D model of each item accurately reflects its actual status and design requirements, providing reliable data support for subsequent applications.

[0108] In step S202 of some embodiments, the three-dimensional model of the nuclear power item is analyzed based on the three-dimensional model design benchmark to obtain model design information matching each three-dimensional model of the nuclear power item.

[0109] It should be noted that model parsing of the 3D model of nuclear power items is performed based on the 3D model design benchmark to obtain model design information matching each 3D model of nuclear power items. Model parsing is the process of extracting and verifying model information. During this process, detailed geometric, attribute, and parametric information must be extracted from the 3D model and ensured to match the design benchmark and the actual item. For example, geometric information may include the item's size, shape, and spatial footprint; attribute information may include material properties and interface dimensions; and parametric information may include equipment operating and maintenance parameters. The integrity and accuracy of this information is crucial for the model's application during the operation and maintenance phase.

[0110] In step S102 of some embodiments, based on each model design information, a precision level assessment is performed on the corresponding three-dimensional model of the nuclear power item to obtain precision level assessment information of each three-dimensional model of the nuclear power item;

[0111] When building a nuclear power plant 3D model library, assessing the level of detail of the 3D models of nuclear power items is a key step. This process not only determines the model's applicability in different application scenarios but also directly impacts the subsequent configuration of model mapping relationships and the overall quality of the model library.

[0112] It's important to note that the core of precision level assessment lies in a comprehensive analysis of model design information. This information includes factors such as the item's geometric accuracy, the completeness of its attribute information, and the degree of parameterization. For example, geometric accuracy assessment can be based on model patching. By extracting and patching the surfaces of the geometric body, this ensures that the model's detailed representation meets the requirements of the operation and maintenance phase. Furthermore, attribute information integrity assessment involves checking whether the model contains necessary design parameters, such as interface dimensions and material properties. This information is used during the operation and maintenance phase for equipment status monitoring and fault diagnosis.

[0113] In some embodiments, the degree of parameterization of the 3D model can also be considered during the precision assessment process. A highly parameterized 3D model can better adapt to the dynamic needs of the operation and maintenance phase, such as simulating the operating status of equipment or fault simulation by adjusting parameters. This flexibility enables the model to more accurately support actual business needs during the operation and maintenance phase.

[0114] In some embodiments, standardization of precision evaluation is also an important means to solve the problem of different model sources and data integration difficulties. The embodiments of the present application can ensure that models from different sources achieve the expected results in operation and maintenance applications through a unified precision evaluation standard.

[0115] It should be understood that precision level assessment is a key step in building a nuclear power plant 3D model library. By comprehensively considering geometric accuracy, attribute information integrity, and the degree of parameterization, the applicability and practicality of the 3D model during the operation and maintenance phase can be ensured, thereby fully realizing the value of the 3D model in the full life cycle management of the nuclear power plant.

[0116] In step S103 of some embodiments, a grading comparison is performed in a preset model fineness grading benchmark based on the fineness evaluation information to determine the model fineness level of each nuclear power item three-dimensional model;

[0117] It's important to note that during the construction of a nuclear power plant 3D model library, comparing the model's grading against a pre-defined grading benchmark based on grading information is a key step in ensuring the applicability of 3D models in different application scenarios. This process not only addresses the challenges of inconsistent model sources and data integration, but also improves the model's applicability and practicality during the operation and maintenance phase.

[0118] It needs to be clarified that the precision grading benchmark can be used to clarify the geometric information, attribute information and degree of parameterization that the three-dimensional model should contain at different precision levels, so as to ensure that the three-dimensional model can meet various business needs during the operation and maintenance stage.

[0119] In some embodiments, when performing a hierarchical comparison, the precision assessment information of each nuclear power item three-dimensional model can be compared with a preset grading benchmark. The model precision level can be determined based on factors such as the geometric accuracy, attribute information integrity, and degree of parameterization of the three-dimensional model. In addition, the degree of parameterization can also be an important factor in the hierarchical comparison. Three-dimensional models with a high degree of parameterization can better adapt to the dynamic needs of the operation and maintenance phase, such as simulating the operating status of equipment or performing fault simulations by adjusting parameters. This flexibility enables the three-dimensional model to more accurately support actual business needs during the operation and maintenance phase.

[0120] Through granularity grading and comparison, 3D models can be divided into different levels of granularity, such as project-level model units, function-level model units, component-level model units, and part-level model units. This grading approach not only helps improve the applicability of 3D models but also optimizes the storage and management of 3D model libraries. High-granularity models can be used in operations and maintenance scenarios that require detailed information, while low-granularity models can be used in scenarios such as overall layout design, thereby achieving the rational allocation and efficient utilization of model resources.

[0121] It should be understood that precision grading and comparison are crucial steps in building a nuclear power plant 3D model library. By using a unified precision grading benchmark and performing graded comparisons based on assessment information, we can ensure the applicability and practicality of 3D models during the operation and maintenance phase, fully leveraging their value in the full lifecycle management of nuclear power plants.

[0122] Reference Figure 3 According to some embodiments of the present application, the model fineness grading benchmark includes a project-level benchmark, a function-level benchmark, a component-level benchmark, and a part-level benchmark. Step S103 performs a graded comparison among the preset model fineness grading benchmarks based on the fineness assessment information to determine the model fineness level of each nuclear power item three-dimensional model, which may include:

[0123] Step S301: in response to the precision evaluation information satisfying the project-level benchmark and not satisfying the function-level benchmark, the component-level benchmark, and the part-level benchmark, determining the model precision level of the three-dimensional model of the nuclear power item to be the first precision level;

[0124] Step S302: in response to the precision evaluation information satisfying the project-level benchmark and the function-level benchmark, but not satisfying the component-level benchmark and the part-level benchmark, determining the model precision level of the three-dimensional model of the nuclear power item to be a second precision level;

[0125] Step S303: in response to the fact that the fineness evaluation information satisfies the project-level benchmark, the function-level benchmark, and the component-level benchmark, but does not satisfy the part-level benchmark, determining the model fineness level of the three-dimensional model of the nuclear power item to be a third fineness level;

[0126] Step S304: in response to the fineness evaluation information satisfying the project-level benchmark, the function-level benchmark, the component-level benchmark, and the part-level benchmark, the model fineness level of the nuclear power item three-dimensional model is determined to be the fourth fineness level.

[0127] In the process of building a three-dimensional model library for a nuclear power plant, the development and application of a model precision grading benchmark is a crucial step. This benchmark not only provides a clear standard for evaluating the precision of the model, but also ensures the model's applicability and flexibility in different application scenarios. According to some embodiments of the present application, the model precision grading benchmark includes project-level benchmarks, function-level benchmarks, component-level benchmarks, and part-level benchmarks, which together constitute a hierarchical precision assessment system.

[0128] In step S301 of some embodiments, the project-level benchmark has the most basic level of detail, focusing primarily on the model's overall layout and spatial occupancy information. This level of model is typically used in the macro-design and planning phase of a nuclear power plant, for example, to determine the installation location and spatial layout of equipment. While the project-level model does not need to include excessive detail, it must accurately reflect the basic shape and size of the items to meet the requirements of the overall layout design. This level of model is primarily used in the macro-design and planning phase, providing basic spatial layout and appearance information.

[0129] In step S302 of some embodiments, the functional-level benchmark adds a description and requirements of the item's functionality to the project-level model. This level of model not only reflects the item's appearance and space usage, but also includes parameters and information related to its functionality, such as interface dimensions and connection methods. Functional-level models are typically used for detailed layout and functional verification during the design phase to ensure that the item meets design requirements in actual use. This level of model adds functional information to the macro-level design and is suitable for detailed layout and functional verification.

[0130] In step S303 of some embodiments, the component-level benchmark further refines the model requirements to include not only the item's appearance and functional information, but also its internal structure and component information. This level of model is typically used for more detailed engineering design and construction phases, such as equipment assembly and installation. Component-level models need to include detailed geometric information and component relationships to support accurate construction and installation operations. This level of model provides detailed internal structure and component information, making it suitable for the construction and installation phases.

[0131] In step S304 of some embodiments, the part-level benchmark requires the highest level of precision, covering all detailed information about the item, including appearance, function, internal structure, and component relationships, as well as specific manufacturing parameters and material properties. Models at this level are typically used for equipment maintenance and fault diagnosis during the operation and maintenance phase, such as through high-precision models for equipment status monitoring and fault simulation. The high precision of the part-level model ensures that maintenance personnel can obtain detailed equipment information, thereby improving the efficiency and quality of maintenance work. Models at this level provide the most comprehensive and detailed information, making them suitable for equipment maintenance and fault diagnosis during the operation and maintenance phase.

[0132] It should be understood that this hierarchical grading approach ensures that each 3D model in the nuclear power plant 3D model library can maximize its value in different application scenarios. Low-precision models can be used for macro-level layout in the design phase, while high-precision models support detailed operations during the operation and maintenance phase. This grading approach not only improves the applicability and flexibility of the models but also optimizes the storage and management of the 3D model library, ensuring the rational allocation and efficient utilization of model resources.

[0133] In some embodiments, the granularity-graded baselines may include project-level baselines, function-level baselines, component-level baselines, and part-level baselines.

[0134] Functional-level benchmarks are detailed descriptions of the model's functional requirements, encompassing the functional classifications and requirements of various items within a nuclear power plant. For example, functional-level benchmarks might include: concrete structures, steel structures, process piping, ventilation ducts, ventilation equipment, electrical and instrumentation equipment, instrumentation lines, cable trays, supports and hangers, mechanical equipment, space, and virtual items. These classifications ensure the model's functional integrity and applicability, meeting the needs of different nuclear power plant phases.

[0135] Furthermore, component-level benchmarks refine the function-level benchmarks, providing more detailed structural and component information. Taking concrete structures as an example, component-level benchmarks can be divided into main structure, auxiliary structure, and virtual structure.

[0136] First, the main structure includes concrete beams, columns and foundations, walls and floor slabs, stairs, etc. These are the core supporting parts of the building, ensuring the stability and functionality of the structure.

[0137] Second, accessory structures include doors, windows and door openings, concrete foundations for equipment, various trenches, pits, wall openings, floor slab holes and cutouts, non-standard embedded parts, embedded plates, structural supports, structural interlayers and secondary cast components, wall and floor casings, and penetration sleeves. These accessory structures ensure the integrity and functionality of the concrete structure in practical applications, such as equipment installation and maintenance.

[0138] Third, virtual structures are also part of the component-level benchmark, including axis grids and benchmark points. These virtual structures provide positioning and reference for the model, ensuring the accuracy of the model during the design and construction stages.

[0139] Going one step further, part-level benchmarks represent the highest level of detail, encompassing every detail of the item. For concrete structures, this might include detailed construction parameters, material properties, and manufacturing parameters. Models at this level are often used for detailed operations during the O&M phase, such as equipment condition monitoring and fault diagnosis. This ensures that O&M personnel have access to detailed structural information, improving both efficiency and quality.

[0140] In some embodiments, taking a concrete structure as an example, the component-level benchmark and the part-level benchmark can be divided according to the following benchmarks:

[0141] The main structure includes: concrete beams, columns and foundations; walls and floor slabs; stairs.

[0142] Accessory structures include: doors, windows and door openings; concrete foundations of equipment; various trenches and pits; wall openings, floor holes and cuts; non-standard embedded parts; embedded plates; structural supports; structural interlayers and secondary casting components; sleeves on walls and floor slabs; and through-piece sleeves.

[0143] Virtual structure, including axis grid, etc.

[0144] This hierarchical, granular approach ensures that every model in the nuclear power plant 3D model library maximizes its value across diverse application scenarios. Low-granularity models can be used for macro-level layouts during the design phase, while high-granularity models support detailed operations during the operation and maintenance phase. This grading approach not only improves the applicability and flexibility of the models but also optimizes the storage and management of the model library, ensuring the rational allocation and efficient utilization of model resources.

[0145] In step S104 of some embodiments, a model mapping relationship is configured for each nuclear power item three-dimensional model based on the model refinement level;

[0146] It's important to note that configuring model mappings for each nuclear power item's 3D model based on the level of model refinement is a crucial step in building a 3D model library for a nuclear power plant. This process not only ensures the applicability of the 3D models in different application scenarios but also provides a foundation for efficient management and flexible application of the model library.

[0147] In some embodiments, model mappings ensure the applicability of 3D models in different application scenarios by associating them with their level of detail. For example, during the design phase, a low-level model may be required to meet overall layout and space requirements, while during the operation and maintenance phase, a high-level model may be required to support equipment status monitoring and fault diagnosis. This mapping allows the model library to quickly access models of different levels of detail based on specific needs, thereby achieving the rational allocation and efficient utilization of model resources.

[0148] In some other embodiments, the model mapping relationship also solves the problem of integrating models from different sources. Since the three-dimensional models of nuclear power plants may come from different design units, manufacturers or third-party platforms, these models may differ in data format, accuracy requirements and information expression methods. By establishing unified mapping rules and interface standards, it can be ensured that these models can be managed and applied under the same framework. For example, a low-precision model may be used for layout design in the design phase, while a high-precision model is used for equipment maintenance in the operation and maintenance phase. This mapping relationship enables the model library to flexibly adapt to changes in demand at different stages of a nuclear power plant.

[0149] Reference Figure 4 According to some embodiments of the present application, step S104 configures a model mapping relationship for each nuclear power item three-dimensional model based on the model refinement level, which may include:

[0150] Step S401: Based on each model design information, a model category assessment is performed on the corresponding three-dimensional model of the nuclear power item to obtain model category assessment information of each three-dimensional model of the nuclear power item;

[0151] Step S402: performing a category comparison in a preset model category classification benchmark based on the model category assessment information to determine the nuclear power model category of each nuclear power item three-dimensional model;

[0152] Step S403: Based on the model refinement level and the nuclear power model category, a model mapping relationship is configured for each nuclear power item three-dimensional model.

[0153] In step S401 of some embodiments, based on each model design information, a model category assessment is performed on the corresponding three-dimensional model of the nuclear power item to obtain model category assessment information of each three-dimensional model of the nuclear power item;

[0154] It's important to note that model category assessment involves categorizing each 3D model of a nuclear power item. This assessment is based on model design information, including factors such as geometric accuracy, completeness of attribute information, and degree of parameterization. The purpose of model category assessment is to determine the application scenarios of 3D models at different stages of a nuclear power plant. This assessment allows each 3D model to be assigned a clear category, such as reactor model, piping model, or valve model, ensuring more efficient organization and management of the 3D model library.

[0155] In step S402 of some embodiments, a category comparison is performed in a preset model category classification benchmark based on the model category assessment information to determine the nuclear power model category of each nuclear power item three-dimensional model;

[0156] It should be noted that model category assessment information is used to perform a category comparison within a pre-defined model classification benchmark. This model classification benchmark is determined based on the requirements and application scenarios of different nuclear power plant stages and serves as a guide for categorizing 3D models. This category comparison ensures that each 3D model is appropriately categorized, thereby improving the accuracy and practicality of the 3D model library.

[0157] In step S403 of some embodiments, a model mapping relationship is configured for each nuclear power item three-dimensional model based on the model refinement level and the nuclear power model category.

[0158] It should be noted that model mapping relationships are configured for each 3D model of a nuclear power item based on the model refinement level and nuclear power model category. This model mapping relationship not only includes the association between models and refinement levels, but also the correspondence between models and actual application scenarios. For example, a high-resolution reactor model might be mapped to an equipment maintenance scenario during the operation and maintenance phase, while a low-resolution piping model might be mapped to an overall layout scenario during the design phase. This mapping relationship enables the model library to flexibly adapt to changing requirements at different stages of a nuclear power plant, thereby achieving the rational allocation and efficient utilization of model resources.

[0159] Reference Figure 5 According to some embodiments of the present application, the nuclear power model category includes a primary category matching a first level of refinement, a secondary category matching a second level of refinement, a tertiary category matching a third level of refinement, and a quaternary category matching a fourth level of refinement. Step S403 configures a model mapping relationship for each nuclear power item three-dimensional model based on the model refinement level and the nuclear power model category, which may include:

[0160] Step S501: In response to the three-dimensional model of the nuclear power item belonging to the first fine level, a model mapping relationship is configured for the three-dimensional model of the nuclear power item according to the first fine level and the first-level category;

[0161] Step S502 , in response to the nuclear power item three-dimensional model belonging to the second fine level, configuring a model mapping relationship for the nuclear power item three-dimensional model according to the second fine level and the secondary category;

[0162] Step S503 , in response to the nuclear power item three-dimensional model belonging to the third fine level, configuring a model mapping relationship for the nuclear power item three-dimensional model according to the third fine level and the third level category;

[0163] Step S504 : In response to the nuclear power item three-dimensional model belonging to the fourth fine level, a model mapping relationship is configured for the nuclear power item three-dimensional model according to the fourth fine level and the fourth category.

[0164] In step S501 of some embodiments, for three-dimensional models of nuclear power items at the first level of refinement, their mapping relationships are primarily configured based on the first-level categories. Models at this level can meet project-level benchmarks and are primarily used during the macro-design and planning phases of nuclear power plants. First-level category models may include information such as the overall layout of the nuclear power plant, equipment installation locations, and spatial occupancy. By mapping these models to the first-level categories, their applicability during the design phase can be ensured, for example, in determining the spatial layout of equipment and overall planning.

[0165] In step S502 of some embodiments, for three-dimensional models of nuclear power items at the second-level of refinement, their mapping relationships are configured based on the secondary category. Models at this level meet not only project-level benchmarks but also function-level benchmarks, enabling them to be used for detailed layout and functional verification. Second-level category models may include information such as device interface dimensions and connection methods, making them suitable for detailed layout and functional verification during the design phase. By mapping these models to the secondary category, accurate support for detailed application during the design phase is ensured.

[0166] In step S503 of some embodiments, for three-dimensional models of nuclear power items belonging to the third level of refinement, the configuration of their mapping relationships is based on three-level categories. Models at this level meet the project-level benchmark, function-level benchmark, and component-level benchmark and can be used in the engineering construction and installation phases. Models in the third-level category contain not only the appearance and functional information of the equipment, but also the internal structure and component information. For example, a highly refined reactor model may contain detailed internal component relationships and installation parameters. By mapping these models to the third-level categories, their accurate application in the construction and installation phases can be ensured.

[0167] In step S504 of some embodiments, for three-dimensional models of nuclear power items belonging to the fourth level of refinement, the configuration of their mapping relationships is based on four-level categories. Models at this level meet all precision benchmarks, including project-level, function-level, component-level, and part-level benchmarks, and can be used for equipment maintenance and fault diagnosis during the operation and maintenance phase. Models at the fourth level of category provide the most comprehensive detailed information, such as the appearance, function, internal structure, component relationships, and specific manufacturing parameters and material properties of the equipment. By mapping these models to the fourth level of categories, it is ensured that they provide comprehensive support for detailed applications in the operation and maintenance phase, such as for equipment status monitoring and fault simulation.

[0168] It should be understood that configuring model mappings based on model refinement levels and nuclear power model categories is a crucial step in nuclear power plant 3D model management. This process ensures the applicability of 3D models in diverse application scenarios and fully leverages their value in the full lifecycle management of nuclear power plants. This approach not only improves the quality and practicality of the 3D model library but also provides strong support for the design, construction, and operation and maintenance of nuclear power plants, ensuring their safe and efficient operation.

[0169] In step S105 of some embodiments, a three-dimensional model library is constructed to store three-dimensional models of various nuclear power items based on the model mapping relationship.

[0170] It's important to note that storing and managing the 3D models of various nuclear power items based on model mapping relationships is a crucial step in building a 3D model library for nuclear power plants. Model mapping relationships primarily relate 3D models to their corresponding model refinement levels. Establishing these mapping relationships provides the foundation for the efficient construction and flexible application of the 3D model library.

[0171] It's important to understand that model mappings ensure the applicability of 3D models across different application scenarios by associating them with their level of detail. For example, during the design phase, a low-level model might be needed to meet overall layout and space requirements, while during the operations and maintenance phase, a high-level model might be required to support equipment status monitoring and fault diagnosis. This mapping allows the model library to quickly access models of different levels of detail based on specific needs, thereby ensuring the rational allocation and efficient utilization of model resources.

[0172] Secondly, the model mapping relationship also solves the problem of integrating models from different sources. Since the three-dimensional models of nuclear power plants may come from different design units, manufacturers, or third-party platforms, these models may differ in data format, accuracy requirements, and information expression methods. By establishing unified mapping rules and interface standards, it can be ensured that these models can be managed and applied within the same framework. For example, low-precision models may be used for layout design in the design phase, while high-precision models are used for equipment maintenance in the operation and maintenance phase. This mapping relationship enables the model library to flexibly adapt to the changing needs of nuclear power plants at different stages.

[0173] Notably, model mapping relationships provide an optimized solution for the storage and management of the 3D model library. By rationally organizing and managing the models in the library, rapid querying, retrieval, and updating of 3D models is possible. For example, models can be categorized and stored by item type, level of detail, and other factors, allowing users to quickly find the model they need. Furthermore, the library can be integrated with other nuclear power plant management systems (such as the design management system and the operation and maintenance management system) to enable data sharing and collaboration.

[0174] Furthermore, the construction of a 3D model library provides comprehensive 3D model support for the full lifecycle management of nuclear power plants. From design to operation and maintenance, the library provides accurate and efficient 3D models, helping to improve the management and operational efficiency of nuclear power plants. For example, during the operation and maintenance phase, the highly detailed models in the library enable operators to more accurately monitor equipment status and diagnose faults, thereby improving the efficiency and quality of their work.

[0175] In summary, building a 3D model library based on model mapping relationships is a crucial step in 3D model management for nuclear power plants. This process ensures the applicability of 3D models in different application scenarios and fully leverages their value in the full lifecycle management of nuclear power plants.

[0176] Reference Figure 6 According to an embodiment of the present application, a query method for a three-dimensional model library of nuclear power items may include:

[0177] Step S601, obtaining business demand information;

[0178] Step S602: performing demand analysis on the business demand information to obtain target model feature information and precision level constraints;

[0179] Step S603: query the three-dimensional model library based on the target model feature information and the fineness level constraint to obtain the target nuclear power model; wherein the three-dimensional model library is constructed by the construction method of the nuclear power item three-dimensional model library of any embodiment of the present application.

[0180] In some embodiments, step S601 is to obtain business demand information;

[0181] It's important to note that business requirements information originates from specific application scenarios at different stages of a nuclear power plant, such as layout planning during the design phase, installation guidance during construction, and equipment maintenance and troubleshooting during the operation and maintenance phase. This requirement information may exist in various forms, including design documents, operation and maintenance work orders, and construction plans. Accurately capturing this requirement information ensures that subsequent queries can find targeted 3D models that meet the requirements.

[0182] In step S602 of some embodiments, business requirement information is parsed to obtain target model feature information and fineness level constraints;

[0183] It should be noted that the purpose of requirements parsing is to extract the target model's characteristic information and level-of-precision constraints from complex business requirements. Target model characteristic information may include item type, size range, functional requirements, etc., while level-of-precision constraints clarify the model's specific requirements for geometric accuracy, attribute information completeness, and degree of parameterization. For example, during the design phase, only a low-precision model that meets project-level benchmarks may be required, while during the operations and maintenance phase, a high-precision model that meets part-level benchmarks may be required. Through this parsing process, vague business requirements can be transformed into clear query conditions, thereby improving query efficiency and accuracy.

[0184] In step S603 of some embodiments, a query is performed in a three-dimensional model library based on the target model feature information and the fineness level constraint to obtain a target nuclear power model; wherein the three-dimensional model library is constructed by the method for constructing a three-dimensional model library for nuclear power items of any one of the embodiments of the present application.

[0185] It should be noted that the 3D model library, created using the nuclear power item 3D model library construction method described in the embodiments of this application, contains 3D models that are categorized and stored according to model refinement level. In some embodiments, the 3D models in the nuclear power item 3D model library are categorized not only by refinement level but also by model category. The query process selects qualified models from the 3D model library by matching target feature information with refinement constraints.

[0186] Reference Figure 7 According to some embodiments of the present application, step S603 performs a query in a three-dimensional model library based on the target model feature information and the fineness level constraint to obtain the target nuclear power model, which may include:

[0187] Step S701: querying a three-dimensional model library based on target model feature information to obtain a first candidate nuclear power model;

[0188] Step S702: In response to the first candidate nuclear power model satisfying the fineness level constraint, the first candidate nuclear power model is determined as the target nuclear power model.

[0189] In step S701 of some embodiments, a query is performed in a three-dimensional model library based on target model feature information to obtain a first candidate nuclear power model;

[0190] It's important to note that target model feature information can include key parameters such as item type, size range, and functional requirements. This information allows for rapid identification of potentially eligible models within the model library. For example, if the query is for a specific type of steam generator model, the query will first filter out all models of that type as the first candidate set. This process relies on the proper organization and efficient indexing of the model library to ensure rapid identification of potential candidate models within a large-scale model library.

[0191] In step S702 of some embodiments, in response to the first candidate nuclear power model satisfying the fineness level constraint, the first candidate nuclear power model is determined as the target nuclear power model.

[0192] It should be noted that the first candidate nuclear power model is evaluated for precision-level constraints. This step ensures that the query results not only meet the requirements in terms of features, but also meet the specific requirements of the application scenario at the precision level. The precision-level constraints clarify the specific requirements of the model in terms of geometric accuracy, attribute information integrity, and degree of parameterization. For example, during the design phase, only a low-precision model that meets the project-level benchmark may be required, while during the operation and maintenance phase, a high-precision model that meets the part-level benchmark may be required. Through this evaluation process, models that fully meet the conditions can be further screened out and identified as target nuclear power models.

[0193] It should be understood that this query method, based on target model feature information and precision level constraints, provides powerful support for applications across different stages of a nuclear power plant. This method not only improves the efficiency and accuracy of model queries but also provides a strong technical foundation for the full lifecycle management of nuclear power plants. Through this query method, nuclear power plant managers and technicians can quickly obtain the required 3D models, thereby improving work efficiency, reducing management costs, and ensuring safe operation and efficient maintenance of the nuclear power plant.

[0194] Reference Figure 8 According to some embodiments of the present application, after querying the three-dimensional model library based on the target model feature information in step S701 and obtaining the first candidate nuclear power model, the following steps may also be included:

[0195] Step S801: In response to the first candidate nuclear power model not satisfying the fineness level constraint, a model customization operation is performed based on target model feature information and the fineness level constraint to obtain a first candidate customized model;

[0196] Step S802: In response to the first candidate customized model satisfying the fineness level constraint, the first candidate customized model is determined as the target nuclear power model.

[0197] In some embodiments, step S801 is, in response to the first candidate nuclear power model not satisfying the fineness level constraint, performing a model customization operation based on target model feature information and the fineness level constraint to obtain a first candidate customized model;

[0198] It should be noted that when the first candidate nuclear power model does not meet the level of precision constraints, model customization is performed based on the target model feature information and the level of precision constraints. This step involves modifying or remodeling the existing model to achieve the required level of precision. Model customization operations may include adding geometric details, supplementing attribute information, or increasing the degree of parameterization. For example, if a low-precision model requires higher details to support fault diagnosis during the operation and maintenance phase, its level of precision can be increased by adding information about the internal structure and components of the equipment.

[0199] Reference Figure 9 According to some embodiments of the present application, step S801, in response to the first candidate nuclear power model not satisfying the fineness level constraint, performing a model customization operation based on the target model feature information and the fineness level constraint to obtain the first candidate customized model, may include:

[0200] Step S901: In response to the first candidate nuclear power model not satisfying the fineness level constraint, the model design information of the first candidate nuclear power model is compared with the target model feature information to determine a fineness difference item;

[0201] Step S902: Based on the fineness difference item, adjust the fineness of the first candidate nuclear power model to obtain a first candidate customized model.

[0202] In some embodiments, step S901 , in response to the first candidate nuclear power model not satisfying the fineness level constraint, comparing the model design information of the first candidate nuclear power model with the target model feature information to determine a fineness difference item;

[0203] It should be noted that when the first candidate nuclear power model fails to meet the precision level constraints, a detailed comparison of the model's existing design information with the target feature information is required to identify precision differences. This step forms the basis for customization, as the comparison can clarify where the existing model fails to meet the target precision requirements. For example, the target model may require higher geometric accuracy, more complete attribute information, or a more detailed parameterization. This comparison process can identify specific deficiencies in the model's precision, such as missing detailed information on certain internal structures or insufficient parameterization.

[0204] In step S902 of some embodiments, based on the fineness difference item, the fineness adjustment is performed on the first candidate nuclear power model to obtain a first candidate customized model.

[0205] It should be noted that based on the determined precision difference, the first candidate nuclear power model undergoes precision adjustments. This step involves supplementing or optimizing the model's geometric details, attribute information, and parameterization. For example, if the model's geometric accuracy is insufficient, its precision can be improved by adding more geometric details; if the attribute information is incomplete, the model can be improved by supplementing the missing parameters and attributes.

[0206] In practice, fine-grained adjustments can be made with the help of specialized modeling software and tools. For example, geometric details can be added to a model using 3D modeling software, or attribute information can be supplemented through a data management system. Customization allows existing models to be adjusted and optimized to meet business needs, even if a fully qualified model cannot be found in the model library. This not only improves the applicability of query methods but also provides broader support for applications across different phases of nuclear power plants.

[0207] Reference Figure 10 According to some embodiments of the present application, step S902 adjusts the fineness of the first candidate nuclear power model based on the fineness difference item to obtain the first candidate customized model, which may include:

[0208] Step S1001: in response to the fineness difference item reflecting that the fineness level of the target model feature information is higher than the fineness level of the first candidate nuclear power model, performing an advanced drawing operation based on the first candidate nuclear power model to obtain a first candidate customized model;

[0209] Step S1002 , in response to the fineness difference item reflecting that the fineness level of the target model feature information is lower than the fineness level of the first candidate nuclear power model, a regression mapping operation is performed based on the first candidate nuclear power model to obtain a first candidate customized model.

[0210] In some embodiments, step S1001 includes, in response to the fineness difference item reflecting that the fineness level of the target model feature information is higher than the fineness level of the first candidate nuclear power model, performing an advanced drawing operation based on the first candidate nuclear power model to obtain a first candidate customized model;

[0211] It should be noted that when the precision difference item indicates that the precision level of the target model feature information is higher than the precision level of the first candidate nuclear power model, an advanced drawing operation needs to be performed. This operation may include increasing the geometric details of the model and supplementing the attribute information. For example, if the target model requires higher geometric accuracy, the refinement of the model can be improved by adding more geometric features. This may involve using professional 3D modeling software to increase the internal structure of the equipment, interface details or surface texture, etc. At the same time, the attribute information of the model, such as material properties, operating parameters, etc., can also be supplemented to ensure the applicability of the model in the target application scenario.

[0212] In step S1002 of some embodiments, in response to the fineness difference item reflecting that the fineness level of the target model feature information is lower than the fineness level of the first candidate nuclear power model, a regression mapping operation is performed based on the first candidate nuclear power model to obtain a first candidate customized model.

[0213] It should be noted that when the precision difference item indicates that the precision level of the target model feature information is lower than that of the first candidate nuclear power model, a de-rating operation needs to be performed. This operation can include simplifying the geometric details of the model and reducing attribute information. For example, if the target model only requires lower geometric accuracy, the complexity of the model can be reduced by removing unnecessary geometric features. This can involve simplifying the appearance of the equipment, reducing the details of the internal structure, or removing some high-level attribute information. This simplification operation not only improves the applicability of the model, but also optimizes the storage and processing efficiency of the model.

[0214] In step S802 of some embodiments, in response to the first candidate customized model satisfying the fineness level constraint, the first candidate customized model is determined as the target nuclear power model.

[0215] It should be noted that the customized model is evaluated for fine-grained constraints. This step ensures that the customized model not only meets the requirements in terms of features, but also meets the specific requirements of the application scenario at the fine-grained level. If the customized model meets the fine-grained constraints, it will be determined as the target nuclear power model. This process may require repeated iterations until the customized model fully meets the requirements. The advantage of this model customization operation lies in its flexibility and adaptability. Through the customization operation, it can be ensured that even if a model that fully meets the conditions is not found in the model library, the business needs can be met by adjusting and optimizing the existing model. This not only improves the applicability of the query method, but also provides broader support for applications in different stages of nuclear power plants.

[0216] It should be understood that when the first candidate nuclear power model does not meet the precision level constraint, performing model customization and evaluating its precision level can ensure the accuracy and relevance of the query results. This combined query and customization approach allows nuclear power plant managers and technicians to flexibly respond to various complex application scenarios, thereby improving work efficiency, reducing management costs, and ensuring safe operation and efficient maintenance of nuclear power plants.

[0217] Reference Figure 11 According to some embodiments of the present application, step S603 performs a query in a three-dimensional model library based on the target model feature information and the fineness level constraint to obtain the target nuclear power model, and may further include:

[0218] Step S1101, querying in a 3D model library based on target model feature information;

[0219] Step S1102: In response to the 3D model library being unable to find a 3D model of a nuclear power item that meets the target model feature information, a model customization operation is performed based on the target model feature information and the fineness level constraint to obtain a second candidate customized model;

[0220] Step S1103: In response to the second candidate customized model satisfying the fineness level constraint, the second candidate customized model is determined as the target nuclear power model.

[0221] In step S1101 of some embodiments, a query is performed in a three-dimensional model library based on target model feature information;

[0222] It's important to note that a preliminary search is performed within the 3D model library based on the target model's characteristic information. This step aims to quickly locate models that may meet the criteria. The target model's characteristic information typically includes key parameters such as item type, size range, and functional requirements. This characteristic information can be used to screen potential candidate models within the model library. However, if no exact matching model exists within the model library, further action is required.

[0223] In step S1102 of some embodiments, in response to the 3D model library being unable to find a 3D model of a nuclear power item that meets the target model feature information, a model customization operation is performed based on the target model feature information and the fineness level constraint to obtain a second candidate customized model;

[0224] It should be noted that when the 3D model library cannot find a 3D model of a nuclear power item that meets the target model's feature information, a model customization operation is performed based on the target model's feature information and the level of detail constraints. This step involves creating a new model that must meet both the target feature information and the level of detail constraints. Model customization operations may involve starting from scratch or modifying an existing model. For example, if the target model requires specific internal structures or interface dimensions, these requirements can be met by adding or adjusting geometric details. At the same time, it is also necessary to ensure that the model's attribute information and degree of parameterization meet the level of detail constraints.

[0225] The process of customizing a model may require the use of specialized modeling software and tools. For example, modeling software can be used to create or modify the geometric details of a 3D model. Furthermore, additional attribute information, such as material properties and operating parameters, is required to ensure the model's suitability for the target application scenario.

[0226] In step S1103 of some embodiments, in response to the second candidate customized model satisfying the fineness level constraint, the second candidate customized model is determined as the target nuclear power model.

[0227] It's important to note that the customized model is evaluated for granularity constraints. If the customized model meets these constraints, it is designated as the target nuclear power model. This evaluation process ensures that the customized model not only meets the required features but also meets the specific requirements of the application scenario at a granular level. For example, during the operation and maintenance phase, the customized model must be able to support operations such as equipment status monitoring and fault diagnosis.

[0228] It should be understood that the advantage of this model customization operation lies in its flexibility and adaptability. Through customization, even if there is no model that fully meets the requirements in the 3D model library, a model that meets business needs can still be generated.

[0229] Reference Figure 12 According to an embodiment of the present application, a device for constructing a three-dimensional model library of nuclear power items may include:

[0230] The three-dimensional model acquisition module 1201 is used to acquire three-dimensional models of nuclear power items corresponding to multiple nuclear power plant items and model design information matching each three-dimensional model of the nuclear power item;

[0231] A precision level assessment module 1202 is configured to perform precision level assessment on the corresponding three-dimensional model of a nuclear power item based on each model design information, thereby obtaining precision level assessment information for each three-dimensional model of the nuclear power item;

[0232] A grading comparison module 1203 is configured to perform a grading comparison in a preset model fineness grading benchmark based on the fineness evaluation information to determine the model fineness level of each nuclear power item three-dimensional model;

[0233] A mapping configuration module 1204 is used to configure a model mapping relationship for each nuclear power item three-dimensional model based on the model refinement level;

[0234] The model library construction module 1205 is used to construct a three-dimensional model library for storing three-dimensional models of various nuclear power items based on the model mapping relationship.

[0235] It can be seen that the contents of the above-mentioned embodiments of the method for constructing a three-dimensional model library of nuclear power items are all applicable to the embodiments of the device for constructing a three-dimensional model library of nuclear power items. The functions specifically implemented by the embodiments of the device for constructing a three-dimensional model library of nuclear power items are the same as those of the above-mentioned embodiments of the method for constructing a three-dimensional model library of nuclear power items, and the beneficial effects achieved are also the same as those achieved by the above-mentioned embodiments of the method for constructing a three-dimensional model library of nuclear power items.

[0236] Reference Figure 13 According to an embodiment of the present application, a query device for a three-dimensional model library of nuclear power items may include:

[0237] The business information acquisition module 1301 is used to obtain business demand information;

[0238] The business requirement analysis module 1302 is used to analyze the business requirement information to obtain target model feature information and precision level constraints;

[0239] The query module 1303 is used to query in the three-dimensional model library based on the target model feature information and the fineness level constraint to obtain the target nuclear power model; wherein the three-dimensional model library is constructed by the construction method of the three-dimensional model library of nuclear power items of any one of the embodiments of the first aspect of the present application.

[0240] It can be seen that the contents of the above-mentioned query method embodiment of the nuclear power item three-dimensional model library are all applicable to the embodiment of the query device of the present nuclear power item three-dimensional model library. The functions specifically implemented by the query device embodiment of the present nuclear power item three-dimensional model library are the same as those of the above-mentioned query method embodiment of the nuclear power item three-dimensional model library, and the beneficial effects achieved are also the same as those achieved by the above-mentioned query method embodiment of the nuclear power item three-dimensional model library.

[0241] Reference Figure 14 , Figure 14The hardware structure of an electronic device according to another embodiment is shown. The electronic device may include:

[0242] The processor 1401 may be implemented as a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is configured to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0243] The memory 1402 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1402 can store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 1402, and the processor 1401 calls and executes the method for constructing or querying the three-dimensional model library of nuclear power items in the embodiments of this application;

[0244] Input / output interface 1403, used to implement information input and output;

[0245] Communication interface 1404, used to implement communication interaction between this device and other devices, which can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WiFi, Bluetooth, etc.);

[0246] Bus 1405 , which transmits information between various components of the device (e.g., processor 1401 , memory 1402 , input / output interface 1403 , and communication interface 1404 );

[0247] The processor 1401 , the memory 1402 , the input / output interface 1403 and the communication interface 1404 are connected to each other in communication within the device via a bus 1405 .

[0248] The present application also provides a computer program product, which includes a computer program. A processor of a computer device reads and executes the computer program, so that the computer device implements the above-mentioned method for constructing or querying a three-dimensional model library of nuclear power items.

[0249] The terms "first," "second," "third," "fourth," and the like (if any) in the specification of the present disclosure and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present disclosure described herein, for example, can be implemented in orders other than those illustrated or described herein. In addition, the terms "comprises" and "comprising," and any variations thereof, are intended to cover non-exclusive inclusions, e.g., a process, method, system, product, or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product, or apparatus.

[0250] It should be understood that in the present disclosure, "at least one (item)" refers to one or more, and "plurality" refers to two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0251] It should be understood that in the description of the embodiments of the present application, multiple (or multiple items) means more than two, greater than, less than, exceed, etc. are understood to exclude the number itself, and above, below, within, etc. are understood to include the number itself.

[0252] In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0253] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0254] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0255] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure, or the part that contributes to the relevant technology, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the various embodiments of the present disclosure. The aforementioned storage medium may include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc., various media that can store program codes.

[0256] It should also be understood that the various implementation methods provided in the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

[0257] The above is a specific description of the implementation methods of the present disclosure, but the present disclosure is not limited to the above implementation methods. Those skilled in the art can make various equivalent modifications or substitutions without violating the spirit of the present disclosure. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present disclosure.

Claims

1. A method for constructing a three-dimensional model library of nuclear power items, characterized in that: include: Acquiring three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each of the three-dimensional models of the nuclear power items; Based on each of the model design information, performing a precision level assessment on the corresponding three-dimensional model of the nuclear power item to obtain precision level assessment information of each of the three-dimensional models of the nuclear power item; performing a grading comparison in a preset model fineness grading benchmark based on the fineness assessment information to determine the model fineness level of each of the three-dimensional models of the nuclear power item; configuring a model mapping relationship for each of the three-dimensional models of the nuclear power items based on the model refinement level; Based on the model mapping relationship, a three-dimensional model library is constructed to store the three-dimensional models of each of the nuclear power items.

2. The method according to claim 2, characterized in that The model fineness grading benchmark includes a project-level benchmark, a function-level benchmark, a component-level benchmark, and a part-level benchmark. The grading comparison is performed in the preset model fineness grading benchmark according to the fineness assessment information to determine the model fineness level of each nuclear power item three-dimensional model, including: In response to the granularity assessment information satisfying the project-level benchmark and not satisfying the function-level benchmark, the component-level benchmark, and the part-level benchmark, determining the model granularity level of the three-dimensional model of the nuclear power item to be a first granularity level; In response to the granularity assessment information satisfying the project-level benchmark and the function-level benchmark, but not satisfying the component-level benchmark and the part-level benchmark, determining the model granularity level of the three-dimensional model of the nuclear power item to be a second granularity level; In response to the granularity assessment information satisfying the project-level benchmark, the function-level benchmark, and the component-level benchmark, but not satisfying the part-level benchmark, determining the model granularity level of the three-dimensional model of the nuclear power item to be a third granularity level; In response to the precision assessment information satisfying the project-level benchmark, the function-level benchmark, the component-level benchmark and the part-level benchmark, the model precision level of the three-dimensional model of the nuclear power item is determined to be a fourth precision level.

3. The method according to claim 2, characterized in that Configuring a model mapping relationship for each of the three-dimensional models of the nuclear power items based on the model refinement level includes: Based on each of the model design information, performing a model category assessment on the corresponding three-dimensional model of the nuclear power item to obtain model category assessment information of each of the three-dimensional models of the nuclear power item; performing a category comparison in a preset model category classification benchmark based on the model category assessment information to determine the nuclear power model category of each of the three-dimensional models of the nuclear power item; Based on the model refinement level and the nuclear power model category, the model mapping relationship is configured for each of the three-dimensional models of the nuclear power items.

4. The method according to claim 3, characterized in that The nuclear power model category includes a primary category matching the first fine level, a secondary category matching the second fine level, a tertiary category matching the third fine level, and a quaternary category matching the fourth fine level. Configuring the model mapping relationship for each of the three-dimensional models of the nuclear power item based on the model fineness level and the nuclear power model category includes: In response to the three-dimensional model of the nuclear power item belonging to the first level of refinement, configuring the model mapping relationship for the three-dimensional model of the nuclear power item according to the first level of refinement and the first-level category; In response to the three-dimensional model of the nuclear power item belonging to the second level of refinement, configuring the model mapping relationship for the three-dimensional model of the nuclear power item according to the second level of refinement and the secondary category; In response to the three-dimensional model of the nuclear power item belonging to the third level of refinement, configuring the model mapping relationship for the three-dimensional model of the nuclear power item according to the third level of refinement and the three-level categories; In response to the three-dimensional model of the nuclear power item belonging to the fourth level of refinement, the model mapping relationship is configured for the three-dimensional model of the nuclear power item according to the fourth level of refinement and the four-level category.

5. The method according to claim 1, characterized in that The obtaining of three-dimensional nuclear power item models corresponding to a plurality of nuclear power plant items and model design information matching each of the three-dimensional nuclear power item models includes: Performing modeling operations on the plurality of nuclear power plant items based on a preset three-dimensional model design benchmark to obtain a three-dimensional model of the nuclear power item corresponding to each of the nuclear power plant items; The three-dimensional model of the nuclear power item is analyzed based on the three-dimensional model design benchmark to obtain the model design information matching each three-dimensional model of the nuclear power item.

6. A method for querying a three-dimensional model library of nuclear power items, characterized in that: include: Obtain business demand information; Performing demand analysis on the business demand information to obtain target model feature information and precision level constraints; Based on the target model feature information and the fineness level constraint, a query is performed in the three-dimensional model library to obtain the target nuclear power model; wherein, the three-dimensional model library is constructed by the method for constructing a three-dimensional model library of nuclear power items according to any one of claims 1 to 5.

7. The method according to claim 6, characterized in that The querying in the three-dimensional model library based on the target model feature information and the fineness level constraint to obtain the target nuclear power model includes: Searching the three-dimensional model library based on the target model feature information to obtain a first candidate nuclear power model; In response to the first candidate nuclear power model satisfying the fineness level constraint, the first candidate nuclear power model is determined as the target nuclear power model.

8. The method according to claim 7, characterized in that After querying the three-dimensional model library based on the target model feature information to obtain a first candidate nuclear power model, the method further includes: In response to the first candidate nuclear power model not satisfying the fineness level constraint, performing a model customization operation based on the target model feature information and the fineness level constraint to obtain a first candidate customized model; In response to the first candidate customized model satisfying the level of granularity constraint, the first candidate customized model is determined as the target nuclear power model.

9. The method according to claim 8, characterized in that In response to the first candidate nuclear power model not satisfying the fineness level constraint, performing a model customization operation based on the target model feature information and the fineness level constraint to obtain a first candidate customized model, including: In response to the first candidate nuclear power model not satisfying the fineness level constraint, comparing the model design information of the first candidate nuclear power model with the target model feature information to determine a fineness difference item; Based on the fineness difference item, the fineness adjustment is performed on the first candidate nuclear power model to obtain the first candidate customized model.

10. The method according to claim 9, characterized in that The step of adjusting the fineness of the first candidate nuclear power model based on the fineness difference item to obtain the first candidate customized model includes: In response to the fineness difference item reflecting that the fineness level of the target model feature information is higher than the fineness level of the first candidate nuclear power model, performing an advanced drawing operation based on the first candidate nuclear power model to obtain the first candidate customized model; In response to the fineness difference item reflecting that the fineness level of the target model feature information is lower than the fineness level of the first candidate nuclear power model, a regression mapping operation is performed based on the first candidate nuclear power model to obtain the first candidate customized model.

11. The method according to claim 6, characterized in that The querying in the three-dimensional model library based on the target model feature information and the fineness level constraint to obtain the target nuclear power model includes: Performing a query in the three-dimensional model library based on the target model feature information; In response to the three-dimensional model library being unable to find a three-dimensional model of a nuclear power item that meets the target model characteristic information, performing a model customization operation based on the target model characteristic information and the fineness level constraint to obtain a second candidate customized model; In response to the second candidate customized model satisfying the level of granularity constraint, the second candidate customized model is determined as the target nuclear power model.

12. A device for constructing a three-dimensional model library of nuclear power items, characterized in that: include: a three-dimensional model acquisition module, configured to acquire three-dimensional models of nuclear power items corresponding to a plurality of nuclear power plant items and model design information matching each of the three-dimensional models of the nuclear power items; a precision level assessment module, configured to perform precision level assessment on the corresponding three-dimensional model of the nuclear power item based on each of the model design information, and obtain precision level assessment information of each three-dimensional model of the nuclear power item; a grading comparison module, configured to perform a grading comparison in a preset model fineness grading benchmark according to the fineness evaluation information, so as to determine the model fineness level of each of the three-dimensional models of the nuclear power item; A mapping configuration module, configured to configure a model mapping relationship for each of the three-dimensional models of the nuclear power items based on the model refinement level; A model library construction module is used to construct a three-dimensional model library that stores the three-dimensional models of each nuclear power item based on the model mapping relationship.

13. A query device for a three-dimensional model library of nuclear power items, characterized in that: include: Business information acquisition module, used to obtain business demand information; A business requirement analysis module is used to analyze the business requirement information to obtain target model feature information and precision level constraints; A query module is used to query in a three-dimensional model library based on the target model feature information and the fineness level constraint to obtain a target nuclear power model; wherein, the three-dimensional model library is constructed by the method for constructing a three-dimensional model library of nuclear power items according to any one of claims 1 to 5.

14. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the method for constructing a three-dimensional model library of nuclear power items as described in any one of claims 1 to 5, or the method for querying a three-dimensional model library of nuclear power items as described in any one of claims 6 to 11.

15. A computer-readable storage medium, characterized in that The storage medium stores a program, and the program is executed by a processor to implement the method for constructing a three-dimensional model library of nuclear power items as described in any one of claims 1 to 5, or the method for querying a three-dimensional model library of nuclear power items as described in any one of claims 6 to 11.

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