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