分布式传感器网络系统故障预测方法

Fault prediction method of distributed sensor networks system

针对分布式传感器网络很难采用一种通用方法来实现算法简单的故障预测问题,提出了一种基于知识发现的故障预测方法。该方法首先建立了时间信息的数学描述系统,以实现基于因果指数的知识发现;然后,利用因果关系的知识推理机制,实现分布式传感器网络系统的故障预测。通过对瓦斯抽放监控系统的故障预测实验,证明该方法能准确预测分布式传感器网络系统故障,具有算法简单、实用高效的优点。

It is difficult to use a general method to implement fault prediction of distributed sensor networks, a kind of fault prediction method based on knowledge discovery was put forward. Firstly, the method establishes mathematical description system of time information, in order to realize the knowledge discovery based on causal index; then, the method uses knowledge reasoning mechanism of causality relationship to realize fault prediction of distributed sensor networks system. A fault prediction experiment of gas drainage monitoring system was carried out, the experiment results prove that the method can accurately predict fault of distributed sensor networks system, and has advantages of simple algorithm, utility and high-efficiency.