中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (S1): 280-284.doi: 10.16265/j.cnki.issn1003-3033.2024.S1.0018

• 应急技术与管理 • 上一篇    

基于信息融合技术的水电站应急指挥体系研究

李光华(), 刘名   

  1. 国家能源集团 大渡河大岗山发电有限公司, 四川 雅安 625400
  • 收稿日期:2024-03-14 修回日期:2024-05-17 出版日期:2024-06-30
  • 作者简介:

    李光华 (1985—),男,河南商丘人,硕士,高级工程师,主要从事水电站运维管理、智能安全风险管控及水电站数字化改造以及智能化应用方面的工作。E-mail:

    刘 名, 工程师

Research on emergency command system of hydropower stations based on information fusion technology

LI Guanghua(), LIU Ming   

  1. CHN Energy Dadu River Dagangshan Power Generation Co., Ltd., Ya'an Sichuan 625400, China
  • Received:2024-03-14 Revised:2024-05-17 Published:2024-06-30

摘要:

为保障水电站应急指挥体系安全高效运转,提升事故应急处置的数字化、智能化水平,通过分析水电站传统事故应急处置的难点,采用知识图谱技术对水电站海量异构信息进行标准化处理,形成标准化信息库。开展多源异构信息融合技术在事故处置过程中的研究与运用,实现多源异构信息的实时获取、处理、分析,并通过数据挖掘、分析处理、融合应用等方式,构建故障预警模型,精准研判事故性质及故障部位,自动生成最优处置指导方案,指导应急处置人员安全高效进行故障控制、设备隔离及风险鉴别等工作,并在处置过程中智能推演应急处置措施成效及故障发展态势,动态优化处置措施。同时通过搭建可视化信息共享平台,动态展示事故处置要点及措施进展,按照应急指挥体系人员职责分工智能推送关键指导信息,实现应急处置各层级的互补联动、协同指挥,建立高效化、智能化、可视化的应急指挥体系。

关键词: 应急指挥体系, 信息融合, 水电站, 智能推演, 预警模型

Abstract:

In order to ensure the safe and efficient operation of the emergency command system of hydropower stations and improve the level of digitalization and intelligentization of emergency responses, the difficulties of traditional emergency responses of hydropower stations were analyzed. The knowledge graph technology was used to standardize the massive heterogeneous information of hydropower stations, and a standardized information base was formed. The research and application of multi-source heterogeneous information fusion technology in the process of accident responses were carried out to realize the real-time acquisition, processing, and analysis of multi-source heterogeneous information. By means of data mining, analysis and processing, fusion and application, the fault early warning model was built to accurately study the nature of the accident and fault location and automatically generate the optimal response guidance scheme, so as to guide emergency response personnel to carry out fault control, equipment isolation, and risk identification safely and efficiently. In addition, it helped deduce the effect of emergency response measures and fault development situations intelligently in the response process and dynamically optimize response measures. At the same time, by building a visual information sharing platform, the key points of accident responses and the progress of measures were displayed dynamically, and the key guidance information was pushed intelligently according to the division of duties of the personnel in the emergency command system, so as to realize the complementary interaction and cooperative command of each level of emergency response and establish an efficient, intelligent, and visual emergency command system.

Key words: emergency command system, information fusion, hydropower station, intelligent deduction, early warning models

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