基于机器学习方法的有毒有害气体监测系统设计

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。

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

In view of thefrequent fire accidents in petrochemical plant areas and hazardous chemicalsstorages in recent years, and fire fighters casualties during firefighting andrescue,this paper proposes a kind of toxic and harmful gas monitoring systemfor firefighting and rescue sites, elaborates the composition and workingprinciple of the toxic and harmful gas monitoring system, establishes theweight model of the toxic and harmful gas monitoring terminal monitoring areahazard and the risk of the fire fighter in the field operation area. Themachine learning algorithm is used to train the data model, and providescientific assistant decision support for the commander dispatching command atthe fire fighting and rescue site to ensure the life safety of the on-sitecombatants.