中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (S2): 231-235.doi: 10.16265/j.cnki.issn1003-3033.2022.S2.0175

• 应急技术与管理 • 上一篇    下一篇

应急指挥与安全在线监测系统应用研究

张文山1(), 张全柱2   

  1. 1 国家能源集团 国能新准铁路有限责任公司, 内蒙古 鄂尔多斯 017000
    2 华北科技学院 信息与控制技术研究所, 河北 廊坊 065201
  • 收稿日期:2022-08-15 修回日期:2022-10-10 出版日期:2022-12-30 发布日期:2023-06-30
  • 作者简介:

    张文山 (1991—),男,河北邢台人,硕士,工程师,主要从事重载铁路安全生产自动化与信息化管理等方面的工作。E-mail:

Research on application of emergency command and online safety monitoring system

ZHANG Wenshan1(), ZHANG Quanzhu2   

  1. 1 Xinzhun Railway Co., Ltd., CHN Energy, Ordos Inner Mongolia 017000, China
    2 Institute of Information and Control Technology, North China Institute of Science & Technology, Langfang Hebei 065201, China
  • Received:2022-08-15 Revised:2022-10-10 Online:2022-12-30 Published:2023-06-30

摘要:

为有效解决生产经营单位应急管理方面存在的应急准备不足、应急响应迟缓和应急处置不标准等问题,应用地理信息系统(GIS)服务、物联网感知和大数据等信息化技术,研究应急指挥与安全在线监测系统。通过分析事故扩大化的案例,找出应急管理脆弱因素,如安全监测预警能力不足和应急信息传递不顺畅等,分析系统功能需求,主要包括基础层、感知层、数据层和应用层,进而构建应急指挥与安全在线监测系统总体架构,开发安全在线监测模块、应急指挥模块和系统运行自我评价模块,并在新准铁路进行应用研究。实践表明:该系统可全过程管理安全风险在线监测、预警、响应和应急处置,能够实现应急管理的系统化、信息化、数据化、程序化和可视化,全面提升新准铁路安全生产事故预防和应急处置能力。

关键词: 应急指挥, 安全在线监测系统, 应急管理, 应急响应, 大数据, 可视化管理

Abstract:

Some problems exist in the emergency management of production and business units, including insufficient emergency preparedness, slow emergency response and nonstandard emergency disposal. In response, the emergency command and online safety monitoring system was studied by applying geographic information system (GIS) services, Internet of Things perception, big data and other information technologies. Through the analysis of a case with accident expansion, the vulnerable factors of emergency management were found, such as insufficient safety monitoring and early warning capability and unsmooth transmission of emergency information. System functional requirements were also analyzed, mainly involving the foundation layer, perception layer, data layer and application layer. Afterward, the overall architecture of the emergency command and online safety monitoring system was built. Three modules were developed, namely online safety monitoring, emergency command, and system operation self-assessment, and the system was applied in the Xinzhun Railway. The practice shows that the system can realize systematic, information-based, data-driven, programmed and visual emergency management through the whole process management of online monitoring, early warning, response and emergency disposal of safety risks. Thus, it is capable of comprehensively improving accident prevention and emergency disposal capability during safe production on the Xinzhun Railway.

Key words: emergency command, online safety monitoring system, emergency management, emergency response, big data, visual management