基于割集的风险评价模型的维护方法、系统及存储介质
By parsing model data on the client side and importing it into the model database in batches, the problem of low maintenance efficiency and reliability of risk assessment models in existing technologies is solved, and efficient and reliable model database updates and calculation accuracy are achieved.
CN117421298BActive Publication Date: 2026-07-17SUZHOU NUCLEAR POWER RES INST CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUZHOU NUCLEAR POWER RES INST CO LTD
- Filing Date
- 2023-10-11
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
The maintenance methods of existing risk assessment models are inefficient and unreliable, and they are prone to system crashes, especially when dealing with large amounts of data.
Method used
The model data is parsed on the client side and then imported into the model database over the network. This avoids the performance degradation and system crashes caused by directly uploading large amounts of data in the traditional way, and improves efficiency and reliability by using batch import.
Benefits of technology
It enables efficient and reliable updates to the risk assessment model, avoids OOM (Out of Memory) anomalies, and improves the maintenance efficiency and computational accuracy of the model database.
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Smart Images
Figure CN117421298B_ABST
Abstract
本发明涉及了一种基于割集的风险评价模型的维护方法、系统及存储介质，该维护方法包括：接收用户输入的模型数据库的IP地址；接收用户输入的机组工况信息，并接收用户所选择的与所述机组工况信息对应的模型数据，所述模型数据包括设置在相应模型文件夹下的模型基础数据、序列割集数据、补充割集数据；对所述模型数据进行解析，以获取与所述模型数据库格式一致的数据表；根据所述IP地址，将解析后的数据表导入模型数据库。通过该技术方案，可实现风险评价模型重构后模型数据库高效且可靠地更新。
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