主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2020, Vol. 39 ›› Issue (11): 1550-1553.

• • 上一篇    下一篇

基于机器学习方法的有毒有害气体监测系统设计

吴宗奎1，范玉峰2   

  1. 1. 呼伦贝尔市消防救援支队，内蒙古呼伦贝尔021110；2. 应急管理部沈阳消防研究所，辽宁沈阳110034
  • 出版日期:2020-11-15 发布日期:2020-11-15
  • 作者简介:吴宗奎（1987-），男，呼伦贝尔市鄂温克族自治旗消防救援大队初级专业技术职务，主要从事灭火及防火监督工作，内蒙古自治区呼伦贝尔市鄂温克族自治旗新区外环路（南兴街）北侧，021110。

Design of toxic and harmful gas monitoring system based on machine learning method

WU Zong-kui1, FAN Yu-feng2   

  1. 1. Hulun Buir Fire and Rescue Division, Inner Mongolia Hu lun Buir 021110, China；2. Shenyang Fire Science and Technology Research Institute of MEM, Liaoning Shenyang 110034,China
  • Online:2020-11-15 Published:2020-11-15

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。

关键词: 石油化工, 有毒有害气体监测, 权值模型, 消防指挥

Abstract:

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.

Key words: petrochemical, toxic and harmful gas monitoring, weight model, fire command and dispatch