摘要
针对近年来石油化工厂区、危险化学品存放港口火灾事故多发,消防员在灭火救援过程中多有人员伤亡的现状,提出一种专用于消防救援现场的有毒有害气体监测系统,阐述了系统的构成、工作原理,建立了现场有毒有害气体监测区域危险性和消防员现场作业危险性权值模型。应用机器学习方法对数据模型进行训练,在灭火救援现场为指挥员调度指挥提供科学的辅助决策支撑,有利于保障现场参战消防员的生命安全。
In view of the frequent fire accidents in petrochemical plant areas and hazardous chemicals storages in recent years,and fire fighters casualties during firefighting and rescue,this paper proposes a kind of toxic and harmful gas monitoring system for firefighting and rescue sites,elaborates the composition and working principle of the toxic and harmful gas monitoring system,establishes the weight model of the toxic and harmful gas monitoring terminal monitoring area hazard and the risk of the fire fighter in the field operation area.The machine learning algorithm is used to train the data model,and provide scientific assistant decision support for the commander dispatching command at the fire fighting and rescue site to ensure the life safety of the on-site combatants.
作者
吴宗奎
范玉峰
WU Zong-kui;FAN Yu-feng(Hulun Buir Fire and Rescue Division,Inner Mongolia Hu lun Buir 021110,China;Shenyang Fire Science and Technology Research Institute of MEM,Liaoning Shenyang 110034,China)
出处
《消防科学与技术》
CAS
北大核心
2020年第11期1550-1553,共4页
Fire Science and Technology
关键词
石油化工
有毒有害气体监测
权值模型
消防指挥
petrochemical
toxic and harmful gas monitoring
weight model
fire command and dispatch
