多样异常数据筛选WSNs矿井热害监测系统设计

Design of WSNs mine heat-harm monitoring system with filter function against diversity of abnormal data

针对深层矿井热害监测问题和有线监测系统布线复杂等缺点,基于Zig Bee和Wi Fi两大通信技术,设计了一种有多样性异常数据筛选功能的无线传感器网络(WSNs)矿井热害环境监测系统。经过实验验证:本系统实现了对环境参数的监测。研究了两类多样性异常数据筛选方法,提出了参数适应型拉依达异常数据剔除法则和使用置信水平的数据剔除方法,提出了皮尔森相关系数域(PCCF)异常状态判断法。经过数据分析验证,以上两类方法具有良好的效果。

Aiming at problems of heat-harm monitoring in deep mine and shortcomings of complex wiring that wiring monitoring system has,a wireless sensor networks（ WSNs） heat-harm environmental monitoring system with filter function against diversity of abnormal data is designed,which is based on two communication technologies which are Zig Bee and Wi Fi. It is verified by experiment that the system realizes monitoring of environmental parameters. Two kinds of filter methods against various abnormal data are studied. Parameter adaptive Pauta criterion（ PAPC） and confidence level method are put forward for eliminating abnormal data. Abnormal states judgment method of Pearson correlation coefficient field（ PCCF） is simultaneously proposed. It is verfied by data analysis that the above two kinds of methods have good effect.