Wireless sensor network-based monitoring and early warning method for running state of mine ventilator

The invention relates to a wireless sensor network-based monitoring and early warning method for a running state of a mine ventilator. Accurate online monitoring and early warning are realized through collecting the vibration, the temperature and the negative pressure information of the ventilator. A monitoring and early warning system comprises a monitoring computer, a Zigbee coordinator node, at least six sensor nodes, at least four temperature sensors, a negative pressure sensor and two vibration sensors, wherein the coordinator node and the sensor nodes are built into a wireless sensor network in a self-organization way; the monitoring computer and the coordinator node are connected through a serial interface line; the four temperature sensors are respectively fixed on bearing bushes at both sides of a motor and a fan; the two vibration sensors are horizontally and vertically arranged on a fan shell; and the negative pressure sensor is connected onto a negative pressure measuring pipe on the fan. According to the wireless sensor network-based monitoring and early warning method for the running state of the mine ventilator, the early warning is more timely and diagnosis is more accurate by adopting integrated diagnosis method of built-in countermeasure base and relative threshold early warning and fuzzy theory.