煤矿安全问题一直是备受关注的问题,如何感知煤矿井下设备的运转情况,根据相应的数据变化预测出危险等级,以便于及时而准确地采取措施是一个非常重要的问题。综合分析了数据的采集和数据的挖掘后,提出了无线传感器网络和数据挖掘技术相结合的煤矿井下设备安全生产系统模型,根据挖掘结果进行危险等级的评价。 Coal mine safety has always been a major concern. How to perceive the operation of underground coal mine equipment and predict the level of danger according to the corresponding data changes so that timely and accurate measures can be taken is a very important issue. After comprehensively analyzing the data collection and data mining, a coal mine safety equipment production system model combining wireless sensor network and data mining technology is put forward, and the risk grade is evaluated according to the result of excavation.