Design of remote electronic fire monitoring system based on K-means clustering algorithm

Abstract

In order to overcome the problem of poor real-time response and accuracy of remote electronic fire monitoring system, a remote electronic fire monitoring system based on K-means clustering algorithm is proposed and designed. The hardware of the system includes communication module, smoke sensor, temperature sensor and image collector. In the design of system software, firstly, the database is constructed, the information collected by system hardware is collected into the database, the fire characteristics are extracted, and the smoke, temperature and image data in the database are clustered by K-means clustering algorithm. The fused fuzzy reasoning is carried out to determine whether the fire occurs or not, so as to realise remote electronic fire monitoring. The experimental results show that the response delay of the system is always under 1.5 μs, the response delay is short, the response accuracy is always above 95%, the monitoring accuracy is high, and it is practical.