Application of multi-sensor composite detection insulation material of IOT sensing system in fire early warning

Abstract

Traditional sensor fire detection detects one of many fire parameters and uses a simple threshold algorithm to determine the occurrence of fire. However, due to the randomness and uncertainty of fire signals, detecting a single parameter is likely to cause false alarms and false alarms. In addition, conventional materials are easily burned or melted by fire at high temperatures, which can also lead to erroneous assessments of fire warnings. Therefore, in order to achieve reliable fire alarm performance, people urgently need a material with reliable performance under high temperature conditions. The purpose of this article is to study the multi-sensor composite detection insulating material of the IoT sensing system. First, the characteristics and parameters of the fire are analyzed, then the ignition energy of the fire is qualitatively analyzed, the cause of the fire is studied in detail, and the high temperature is designed. Material selection experiment, select the most suitable refractory insulating material to make fire warning device, and integrate the Internet of Things to conduct experiments on fire detection technology. The experiment shows that the comprehensive accuracy of fire detection based on the Internet of Things is 92%, which is consistent with Actual requirements for high temperature resistance and fire warning.