A tower fire monitoring and analysis system is developed based on intelligent wireless sensor networks（ WSNs）

remote online monitoring on mountain fire induced parameters around is carried out by Chuxiongyao station substation transmission lines and trend analysis on monitoring data and fire occurrence conditions analysis on data changes. Use RBF neural network for regression fitting

predict fire danger grade. After verification of test sample

indicates the RBF has higher accuracy for fire monitoring and suitable for fire forecast

the monitoring data can be predicting analyzed.