Abstract
In today's society, high-rise residential buildings are mostly high-rise buildings, and high-rise residential buildings are frequently fired and difficult to rescue, causing huge losses to people's lives and property. It is very important to construct fire detection and pre-treatment programs before fire rescue. At present, the fire analysis and emergency pretreatment system at the fire scene of high-rise residential buildings are lacking, and the fire prevention and control equipment has false alarms, high delay and low efficiency, or even no pre-rescue pre-treatment. In response to these problems, this paper proposes the application of terminal-edge-cloud-based edge computing in the fire detection of residential buildings. This architecture sinks the environmental parameters monitored by the fire prevention and control equipment to the edge gateway for data storage and processing. Achieve efficient fire identification, low-latency feedback and fire prevention and control. This article analyzes the edge gateway design and multi-sensor data fusion in the architecture, and finally combs the process of residential building fire from occurrence to treatment. The research results can provide reference for the construction of high-rise residential building fire detection network, and to a certain extent Realize rapid fire prevention and control.
Published Version
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