计算机与现代化

• 数据库与数据挖掘 • 上一篇    下一篇

基于数据挖掘的现场作业风险态势评估方法

  

  1. (广东电网有限责任公司安全监管部,广东广州510699)
  • 收稿日期:2019-11-13 出版日期:2020-04-22 发布日期:2020-04-24
  • 作者简介:蒋毅(1982-),男,广西桂林人,工程师,本科,研究方向:电力安全管理,E-mail: 13922234355@qq.com; 欧郁强(1964-),男,广东吴川人,教授级高级工程师,本科,研究方向:电力安全管理; 梁广(1973-),男,广东阳江人,高级工程师,本科,研究方向:电力安全管理; 高杨(1982-),男,高级工程师,研究方向:电力安全管理; 严永高(1983-),男,广东三水人,高级工程师,本科,研究方向:电力安全管理; 林捷(1975-),男,广东潮安人,高级工程师,本科,研究方向:电力安全管理。

Risk Situation Assessment Method of Field Operation Based on Data Mining

  1. (Safety Supervision Department, Guangdong Power Grid Corporation, Guangzhou 510699, China)
  • Received:2019-11-13 Online:2020-04-22 Published:2020-04-24

摘要: 为保障电网安全稳定运行,减少生产安全事故,供电企业针对大量的基建、生产运行作业开展现场安全管理,积累了海量作业管理及安全管理业务数据。为更好地应用这些数据,使其真正为供电企业作业风险预警及防控服务,在梳理供电企业现场作业全过程的数据基础上,对作业风险态势要素历史数据进行分析,识别出人、机、料、法、环境和管理等风险影响因素,从人员、设备(机械)、材料工器具、作业方法、作业环境与时间管理6个维度构建现场作业风险评估指标体系及作业安全态势指数模型,结合信息技术,开展风险态势智能评估的工具设计。

关键词: 供电企业, 作业风险, 数据挖掘, 安全态势指数, 智能评估

Abstract: In order to ensure the safe and stable operation of power grid and reduce production safety accidents, power supply companies carry out on-site safety management for a large number of infrastructure, production and operation operations, and have accumulated massive operational management and safety management business data. In order to make better use of these data and make it truly serve for early warning, prevention and control of operational risks of power supply enterprise, on the basis of combing the data of the entire process of field operations of power supply companies, the historical data of operational risk situation factors are analyzed to identify risk influencing factors such as human, machine, material, law, environment and management. The field operation risk assessment index system and operation safety situation index model are constructed from six dimensions including personnel, equipment (machinery), materials and appliances, operation methods, operation environment,  and time management. Combined with information technology, the tool design of intelligent risk situation assessment is carried out.

Key words: power supply enterprise, operational risk, data mining, security situation index, intelligent assessment

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