Economical zigbee underground coal mining localization system with RSSI Bayesian classification fuzzy network algorithm

摘要

Mining safety issue has always been an important part related to this industry.From simple radio speaker to wireless mobile device, artificial intelligent enhance localization technology with more efficient solution.Bayes theory with associated algorithms has been applied in previous research from and as well as fuzzy network, K-nn(k nearest neighborhood),ML(maxim likelihood) estimation methods have been unitized to catch better solutions.In this paper, a IEEE 802.15.4 standard device with RSSI(received signal strength indicator) measurement combine Bayesian with RSS distribution model builds the main kernel with after fuzzy network classifier, which reach the accuracy of 2meters(maxim) for over 90％ availably and precision.