摘要
Abstract
To address the limitations of traditional reservoir safety management models in situational awareness,data analysis,and scientific decision-making,the authors develope an intelligent decision-making system that integrates artificial intelligence algorithms with expert systems.The system adopts a five-layer architecture comprising hardware,network,data,application,and user layers.It utilizes an AI-ES module to achieve data prediction,image recognition,and rule-based reasoning,and integrates multiple functional modules including hazard identification,safety assessment,water resource scheduling,and event prediction for comprehensive decision analysis.Results demonstrate that the system maintains stable performance under high-concurrency scenarios,with rapid response times in core modules;It enables all-weather intelligent inspection,automatic risk identification and early warning,and precise scheduling,effectively reducing labor costs while enhancing management efficiency and emergency response capabilities.The system achieves holistic intelligent management of reservoir safety operations and provides effective technical support for the transformation and upgrading of reservoir safety management models,demonstrating significant potential for broader application.关键词
水库安全/人工智能/专家系统/智能决策/风险预警Key words
reservoir safety/artificial intelligence/expert system/intelligent decision-making/risk early-warning分类
建筑与水利
