Pipeline gas leakage early warning system based on wireless sensor network

Abstract

Expounds a community pipeline gas leakage warning system based on wireless sensor network, fuzzy control algorithm and random forest algorithm. System using the wireless sensor network acquisition household pipeline gas data, through the intelligent gateway will collect data reported to the cloud platform, the system through the fuzzy control algorithm to reduce the importance of low interference, make the input random forest model data optimization, visualization module using B/S architecture, responsible for the early warning data display in the Web page. According to the historical data of household gas pipeline in a community in Ganzhou city, the simulation was carried out under laboratory conditions. The results show that the model can effectively improve the function of online monitoring and dynamic early warning of gas leakage. Compared with other algorithms, the fuzzy-random forest algorithm has a better performance in finding small leakage in the early stage.