基于熵权法的电化学储能电站安全隐患数据分析

Data analysis of potential safety hazard of electrochemical energy storage power station based on entropy weight method

安全隐患排查治理是当前我国电化学储能电站建设运行监督管理中的重要手段,切实做好安全隐患排查治理工作有助于及时发现和消除电化学储能电站建设运行中的安全事故隐患。基于某省电化学储能电站安全隐患辨识与排查数据,采用熵权法开展了多维度、全方位、深层次的安全隐患数据分析,系统探究了各类安全隐患在空间特性(S)、运行工况(O)、类型占比(T)、危害程度(D)和治理难度(G)5个维度的危险特性和分布特征。结果表明:基于熵权法的电化学储能电站安全隐患数据分析,改善了当前安全隐患数据处理分析方式单一、信息提取不充分、结果利用率不足等问题,对精准定位安全管理的薄弱环节、助力构建安全隐患分级闭环管控机制、推动重大安全隐患精准治理、创新创建重大安全隐患数据库、提升电化学储能电站安全隐患排查治理能力具有重要的作用。

The investigation and management of safety hazard are crucial components in supervising and managing the construction and operation of electrochemical energy storage power stations in China.Effective hazard investigation and management help in timely identification and elimination of safety accident risks.Based on the identification and investigation data of safety hazards in an electrochemical energy storage power station in a certain province,this study utilizes the entropy weight method to conduct a multi-dimensional,comprehensive,and insightful analysis of the safety hazard data.This method allows for systematic exploration of hazard characteristics and distribution characteristics of various safety hazards in five dimensions:spatial characteristics(S),operating conditions(O),type proportion(T),degree of harm(D),and difficulty in governance(G).The study aims to improve the current issues of single data processing and analysis methods for safety hazard,insufficient information extraction,and underutilization of results.The results of the study can significantly contribute to accurately identifying weak links in safety management,assisting in constructing a closed-loop control mechanism for safety hazard classification,innovating and creating a database of major safety hazards,and improving the ability to effectively investigate and manage safety hazards in electrochemical energy storage power plants.