In order to effectively identify the unsafe factors of substation AC power supply and give
effective early warning of fire accidents, in this paper we analyze the change mechanism of …

Forest fire is destructive and difficult to deal with. To effectively prevent forest fire, it is
necessary to establish a reliable prediction model. In this paper, based on BP neural …

In order to reduce mis-warning rate, leak-warning rate and increase intelligent grade of
automatic fire alarm system, in this paper, a novel system for building fire alarm based on BP …

An novel fire extinguishing monitoring and control system is proposed in this paper. The
system combines online monitoring of fire extinguishing information based on Internet of …

Electrification not only promotes the rapid progress of productivity and human civilization,
but also provides a greater possibility for the occurrence of fire. Electrical fire is mainly …

Forest fires pose a serious threat to power systems, and cause a large number of casualties
and property damage. How to accurately monitor the occurrence of forest fires has become a …

The infrared and smoke sensors widely applied in fire alarm and fire monitoring in the scene
of large indoor and outdoor warehouse is vulnerable to sorts of interference noise, it may out …

Based on the fire rescue data of a place from 2016 to 2019, this paper first establishes the
BP neural network algorithm, constructs the prediction model of fire rescue times in months …

Establishing a reliable fire warning system is of great significance to national property and
life safety. Based on data processing, this paper uses analytic hierarchy process to set …

With the deepening of the global economic community, various emergencies emerge in
endlessly, and the risks gradually increase. People's lives and property are threatened …