Reactor analysis model collaborative modeling method and system based on data dynamic transmission
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NUCLEAR POWER INSTITUTE OF CHINA
- Filing Date
- 2026-05-07
- Publication Date
- 2026-08-07
AI Technical Summary
[0003]在上述工作过程中，存在如下问题：（1）由于建模所需的设计输入信息依托纸质接口传递单进行传递，并需要由建模人员对传递单进行数据提取和处理后开展建模
[0016]本发明的显著效果在于：打通了“数字参数池数据源—建模数据处理与管理模块—图形化建模软件”间的数据映射和传递链条，支持基于系统分析程序的多专业协同建模，实现了对多专业接口数据池中所需上游建模数据的集中管理、自动数据检查、数据处理、自动提取映射、自动填充、动态更新与提醒等，提升了反应堆安全分析模型协同建模效率和准确性。
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Figure CN122527201A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of reactor safety analysis technology, specifically to a collaborative modeling method and system for reactor analysis models based on dynamic data transfer. Background Technology
[0002] Building a reactor system safety analysis model using system analysis programs is a crucial step in conducting transient accident safety analysis of nuclear power plants. The establishment of a reactor safety analysis model requires design inputs from multiple disciplines, including neutron physics, system structure, equipment, materials, mechanics, thermal engineering, and safety. In conventional engineering design, paper-based interface transfer forms are used to transfer the parameters required for modeling: the person responsible for modeling submits an interface requirement transfer form (Form A), and personnel from neutron physics, system structure, equipment, materials, and other relevant disciplines respond with interface information transfer forms (Form B). The modeling personnel then compile and process these Form B responses, extract and manually process the necessary parameter information for modeling, and construct the model accordingly.
[0003] The following problems exist in the above work process: (1) The design input information required for modeling is transmitted through paper interface transfer sheets, and the modeling personnel need to extract and process the data from the transfer sheets before modeling. This causes a "separation" and "time delay" between the modeling design input parameters and the model being modeled. When the interface input changes, the modeling personnel cannot update the model in time due to the delay in the transmission of paper interface transfer sheets. When updating the model, the modeling personnel need to check the model information to determine whether the latest version of the interface transfer sheet information is used in the model before manually updating and modifying the model. (2) For proofreaders and users, it is necessary to check and verify different modeling reports and model input cards in order to verify the interface information used by the model, which affects work efficiency. (3) It is easy to cause human error in the modeling process. Since the modeling design input information is not managed uniformly, when the interface information of the transfer sheet is upgraded multiple times and there are many versions, it is easy to cause the modeling report and model to be mismatched due to human error, resulting in the new interface being updated on the wrong version of the model.
[0004] To address the aforementioned issues, it is necessary to develop a collaborative modeling technology and system for reactor safety analysis models based on dynamic data transfer and updates. By introducing digital means, this technology can connect the data mapping and transfer chain between the "digital parameter pool data source - modeling data processing and management module - graphical modeling software," supporting multi-disciplinary collaborative modeling based on system analysis programs. This will enable centralized management, automatic data checking, data processing, automatic extraction and mapping, automatic filling, dynamic updates, and alerts for the upstream modeling data required in the multi-disciplinary interface data pool. This will be of great significance and support for improving the efficiency and accuracy of collaborative modeling. Summary of the Invention
[0005] The purpose of this invention is to provide a collaborative modeling method and system for reactor analysis models based on dynamic data transfer. By introducing digital means, it connects the data mapping and transfer chain between the "digital parameter pool data source - modeling data processing and management module - graphical modeling software", supports multi-disciplinary collaborative modeling based on system analysis programs, and realizes functions such as centralized management, automatic data checking, data processing, automatic extraction and mapping, automatic filling, dynamic updating and reminders of upstream modeling data required in multi-disciplinary interface data pools, thereby improving the efficiency and accuracy of collaborative modeling of reactor safety analysis models.
[0006] The technical solution of the present invention is as follows: a collaborative modeling method for reactor analysis models based on dynamic data transfer, comprising the following steps; S1: Retrieve multi-disciplinary interface data from the digital parameter pool; S2: Multi-disciplinary interface information is stored hierarchically by project, stage, task, and specialty; S3: Summarize the multi-disciplinary interface information to form a master modeling data table, and save the mapping relationship between the multi-disciplinary interface data and the data in the master modeling data table; S4: Save the mapping relationship between the data in the modeling data master table established in S3 and the multi-professional interface data to the database; S5: Establish a graphical reactor model based on the modeling data summary table in S4; S6: Save the graphical reactor model.
[0007] In S1, the multi-disciplinary interface data includes strings, integers, decimals, judgment variables, arrays, tables, and file paths.
[0008] In S2, multi-professional interface information is saved in a hierarchical and visualized tree structure, and search, preview, and view functions are provided.
[0009] In step S3, information from multiple professional interfaces is summarized using visualization methods, processed using Excel to form a master table of modeling data, and saved as an .xlsx format spreadsheet.
[0010] S4 provides a function to view and manage the mapping relationship between the modeling data master table and the data in the multi-professional interface table.
[0011] In S5, based on the graphical modeling platform, the function of editing the modeling data summary table into the graphical reactor model is added.
[0012] In step S6, when updating the master modeling data table, the graphical reactor model is updated.
[0013] A collaborative modeling system for reactor analysis models based on dynamic data transfer includes an interface data import and management module, a modeling data processing and management module, and a modeling data-graphical model mapping module. The interface data import and management module imports data from a digital parameter pool and saves or updates the data. The modeling data processing and management module receives multi-disciplinary interface data processed by the interface data import and management module, forms a master modeling data table, and establishes a mapping relationship between the multi-disciplinary interface data and the data in the master modeling data table. The modeling data-graphical model mapping module establishes a graphical reactor model.
[0014] When the interface data import and management module connects with the digital parameter pool, it uses the naming convention of JSON format text files.
[0015] The modeling data processing and management module has editing functions.
[0016] The significant advantages of this invention are: it establishes a data mapping and transmission chain between the "digital parameter pool data source - modeling data processing and management module - graphical modeling software", supports multi-disciplinary collaborative modeling based on system analysis programs, and realizes centralized management, automatic data checking, data processing, automatic extraction and mapping, automatic filling, dynamic updating and reminders of the upstream modeling data required in the multi-disciplinary interface data pool, thereby improving the efficiency and accuracy of collaborative modeling of reactor safety analysis models. Attached Figure Description
[0017] Figure 1 Interface data import and management process Figure 2 Modeling data processing and management process Figure 3 Modeling data to graphical security analysis model mapping process Figure 4 Interface for dynamic data transfer and updating between different modules Figure 5 Data mapping and transmission chain Figure 6 Dynamic data update process.
[0018] In the diagram: Interface data import and management module 1, modeling data processing and management module 2, and modeling data and graphical model mapping module 3. Detailed Implementation
[0019] Many specific details are set forth in the following description to provide a full understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this application; therefore, this application is not limited to the specific embodiments disclosed below.
[0020] The terminology used in one or more embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the scope of one or more embodiments of this application. The singular forms “a,” “the,” and “the” used in one or more embodiments of this application and in the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” used in one or more embodiments of this application refers to and includes any or all possible combinations of one or more associated listed items.
[0021] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this application, and similarly, second may also be referred to as first.
[0022] The specific technical content of the present invention will now be described with reference to the accompanying drawings; A collaborative modeling method for reactor safety analysis based on dynamic data transfer is implemented using QT widget interface graphical framework technology. Includes the following steps Step 1: Interface Data Import and Management Module 1 acquires interface data from multiple disciplines in the digital parameter pool; The digital parameter pool is an online database based on a unified design platform used to store interface information (including parameter names, parameter definitions, parameter instances, etc.) from various disciplines. The design input data required for establishing reactor safety analysis models, encompassing neutron physics, system structure, equipment, materials, mechanics, thermal engineering, and safety, are all stored in the digital parameter pool. By establishing a data interface between the interface data import and management module 1 and the digital parameter pool, the necessary modeling data can be obtained.
[0023] Specifically, when the interface data import and management module 1 connects with the digital parameter pool, it uses JSON format text files and their corresponding interface file naming conventions. The interface text files include information related to the project, work stage, task, writing, proofreading, review, time, version, and major. The interface information includes data types such as strings, integers, decimals, conditional variables, arrays, tables, and file paths.
[0024] Step 2: Multi-disciplinary interfaces and their data management To facilitate convenient interface viewing, version management, and subsequent automatic data updates, traceability, and verification, interface information is hierarchically saved and managed according to project, stage, task, and profession, and visualized in a hierarchical tree structure, providing convenient search, preview, and viewing functions.
[0025] At the same time, the interface information in the acquired digital parameter pool will be displayed in an intuitive, visual, and structured manner.
[0026] Step 3: Modeling Data Processing and Management Module 2 - Summary and Processing To ensure that the interface data from multiple disciplines can be directly bound to the reactor model, it is necessary to use convenient visualization methods to summarize the interface data, process it using the same processing method as Excel, and finally form a master table of modeling data, and save the mapping relationship between the interface data and the data in the master table of modeling data. Specifically, the interface data is summarized using a convenient copy and paste method, and the established mapping relationship between the interface data and the modeling data is saved to the database.
[0027] Specifically, the data is processed using the same data editing methods as Excel, and the processed modeling data is saved as a .xlsx format spreadsheet, thus solidifying the data processing procedure.
[0028] Step 4: Modeling Data Master Table Management To enable automatic updates of the modeling data master table when interface data changes, it is necessary to save and manage the mapping relationship between interface data and the modeling data master table, as well as the data processing process in the modeling data master table.
[0029] Specifically, this section saves information such as the mapping relationship between interface data and modeling data, the modeling data processing procedure, and the version of the electronic master table of modeling data to the database, and provides convenient viewing and management functions.
[0030] Step 5: Establish a graphical mapping from modeling data to the graphical model. To achieve the transformation from modeling data to a reactor model, a graphical modeling platform is used, and a graphical reactor model is established by the modeling data mapping module 3 based on the data in the modeling data summary table in step 4. Furthermore, a data editing function for modeling data to graphical model is added to the graphical modeling platform to realize the mapping from the modeling data summary table to the graphical model.
[0031] Specifically, the mapping relationship between modeling data and graphical models is stored in the database.
[0032] Step 6: Management of the graphical model and its mapping to modeling data To achieve reusability of the graphical model and automatic updating of the graphical model when the modeling data changes, it is necessary to save the graphical model and manage the mapping relationship between the modeling data and the graphical model.
[0033] Specifically, by modifying the save function of the graphical modeling software, the corresponding modeling data summary table information will be saved along with the current graphical model. When importing a saved model later, the corresponding modeling data summary table will be opened, and the database will be connected to import the relevant mapping relationships.
[0034] Specifically, the database stores the mapping relationship between the corresponding cells of the modeling data master table and the specific card numbers and column indexes of the hydraulic components and control systems in the graphical model. This enables real-time display and tracking of the bidirectional connection between the modeling data master table and the specific data in the graphical model, as well as dynamic data updates.
[0035] The above method relates to a collaborative modeling system for reactor analysis models based on dynamic data transfer, including an interface data import and management module 1, a modeling data processing and management module 2, and a modeling data and graphical model mapping module 3; The Interface Data Import and Management Module 1 imports data from the digital parameter pool, saves or updates the data, and manages the data source files through hierarchical and directory-based saving, recording, and updating. See details. Figure 1 .
[0036] The modeling data processing and management module 2 receives interface data processed by the data import and management module 1, summarizes it using visualization methods to form a master table of modeling data, establishes a mapping relationship between interface data and modeling data, and automatically updates the modeling data based on new interface data. It also manages the modeling data by saving, modifying, updating, deleting, and restoring it. See details. Figure 2 .
[0037] The modeling data and graphical model mapping module 3 uses the modeling data master table in the modeling data processing and management module 2 to build a graphical reactor model with the help of the graphical modeling platform. It also adds the function of editing modeling data to graphical model data on the basis of the graphical modeling platform, realizing the mapping from the modeling data master table to the graphical model.
[0038] The modeling data is mapped to the corresponding component inputs of the specific graphical reactor safety analysis model, and relevant methods of the graphical modeling platform are invoked to generate corresponding text-formatted model inputs that can be directly used for calculation. The mapping relationship is saved, and the corresponding inputs of the graphical model are automatically updated when the upstream modeling data changes. See details. Figure 3 .
[0039] The aforementioned tools need to interface with external digital parameter pools and graphical modeling software, and data needs to be transferred and exchanged between various internal functional modules.
[0040] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
[0041] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.
[0042] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0043] The preferred embodiments disclosed above are merely illustrative of this application. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this application. These embodiments are selected and specifically described in this application to better explain the principles and practical applications of this application, thereby enabling those skilled in the art to better understand and utilize this application.
Claims
1. A collaborative modeling method for reactor analysis models based on dynamic data transfer, characterized in that: Includes the following steps; S1: Retrieve multi-disciplinary interface data from the digital parameter pool; S2: Multi-disciplinary interface information is stored hierarchically by project, stage, task, and specialty; S3: Summarize the multi-disciplinary interface information to form a master modeling data table, and save the mapping relationship between the multi-disciplinary interface data and the data in the master modeling data table; S4: Save the mapping relationship between the data in the modeling data master table established in S3 and the multi-professional interface data to the database; S5: Establish a graphical reactor model based on the modeling data summary table in S4; S6: Save the graphical reactor model.
2. The collaborative modeling method for reactor analysis models based on dynamic data transfer according to claim 1, characterized in that: In S1, the multi-disciplinary interface data includes strings, integers, decimals, judgment variables, arrays, tables, and file paths.
3. The collaborative modeling method for reactor analysis models based on dynamic data transfer according to claim 2, characterized in that: In S2, multi-professional interface information is saved in a hierarchical and visualized tree structure, and search, preview, and view functions are provided.
4. The collaborative modeling method for reactor analysis models based on dynamic data transfer according to claim 3, characterized in that: In step S3, information from multiple professional interfaces is summarized using visualization methods, processed using Excel to form a master table of modeling data, and saved as an .xlsx spreadsheet.
5. The collaborative modeling method for reactor analysis models based on dynamic data transfer according to claim 4, characterized in that: S4 provides a function to view and manage the mapping relationship between the modeling data master table and the data in the multi-professional interface table.
6. The collaborative modeling method for reactor analysis models based on dynamic data transfer according to claim 4, characterized in that: In S5, based on the graphical modeling platform, the function of editing the modeling data summary table into the graphical reactor model is added.
7. The collaborative modeling method for reactor analysis models based on dynamic data transfer according to claim 4, characterized in that: In step S6, when updating the master modeling data table, the graphical reactor model is updated.
8. A collaborative modeling system for reactor analysis models based on dynamic data transfer, applied to the collaborative modeling method for reactor analysis models based on dynamic data transfer as described in any one of claims 1-7, characterized in that: It includes an interface data import and management module, a modeling data processing and management module, and a modeling data and graphical model mapping module. The interface data import and management module imports data from the digital parameter pool and saves or updates the data. The modeling data processing and management module receives multi-disciplinary interface data processed by the interface data import and management module, forms a master modeling data table, and establishes a mapping relationship between the multi-disciplinary interface data and the data in the master modeling data table. The modeling data and graphical model mapping module establishes a graphical reactor model.
9. A collaborative modeling system for reactor analysis models based on dynamic data transfer according to claim 8, characterized in that: When the interface data import and management module connects with the digital parameter pool, it uses the naming convention of JSON format text files.
10. A collaborative modeling system for reactor analysis models based on dynamic data transfer according to claim 8, characterized in that: The modeling data processing and management module has editing functions.