基于自然电场传感器的地下污染监测

Contamination monitoring based on self-potential sensors

垃圾填埋场以及尾砂库废液渗漏监测是预防其周边地下污染等问题的重要手段,本文提出一种利用观测自然电场来实现长期、自动、实时监测的方法。设计了具有无线通信功能的电场传感器作为传感器节点,将这些传感器节点布置到监测区域组成分布式传感器网络。传感器网络按预定程序自动周期性地采集监测区域自然电场数据,并实时发送到远程数据处理端。实验结果表明该方法能自动实时采集自然电场数据,并能及时观测到自然电场随时间的变化情况,从而高效实现废液渗漏等污染的监测。

A long-term, automatic and real-time monitoring method is proposed based on self-potential observation to monitor tailings pond leakage as an important means of prevention of environmental pollution. Potential sensor integrated with RF module is designed as sensor node. These nodes are deployed to a target region to form a distributed sensor network. Then, the self-potential data of the target area would be sampled automatically and periodically on schedule, and promptly send to the remote data processing sever. The experiment results show that this system is workable for automatic and real-time self-potential data sampling and even observation of time variation. Also the tailings pond leakage monitoring could be achieved efficiently.