基于地电流的重力流排水管道泄漏检测

重力流排水管道的泄漏会带来诸多不良后果，但由于重力流排水管道的特殊性，导致许多现有的管道泄漏检测方法难以适用。针对这一问题，提出了一种基于地电流的检测方法，该方法利用泄漏孔联通管道内外，通过测量在管道内移动的电极和固定在地面电极之间电流来确定泄漏，阐述了该方法的基本工作原理，基于该方法设计了检测系统，搭建了实验平台测试了检测效果。检测10 m长的埋地管道时，最大定位误差约0.4 m,表明该检测系统能较准确地定位泄漏位置，若配合更好的探头定位方法，误差将进一步减小。根据测得的尖峰电流值，能明显分辨9个直径梯度为0.5 mm的圆形泄漏孔，使用测得的9组数据训练神经网络模型，大致得到了尖峰电流值与泄漏孔大小的映射关系，表明根据检测结果能大致估计泄漏孔的大小。

Leakage detection of gravity flow drainage pipeline based on geo-electrical current

The leakage of gravity flow drainage pipeline will bring many adverse consequences. But, due to the particularity of gravityflow drainage pipeline, many existing pipeline leakage detection methods are difficult to be applied. To solve this problem, this articleproposes a detection method based on the geo-electrical current, which uses leakage holes to connect the inside and outside of thepipeline, and determines the leakage by measuring the current between the electrode moving in the pipeline and the electrode fixed onthe ground. The basic working principle of the method is described in this article, and the detection system is designed based on themethod above, and the experimental platform is established to test the detection effectiveness of the proposed method. When detecting a10 m long buried pipeline, the maximum location error is about 0. 4 m, which indicate that this detection system can accurately locatethe leakage location, and with better probe positioning method, the error will be futher reduced. According to the measured spike currentvalue, 9 circular leakage holes with the diameter gradient of 0. 5 mm can be clearly distinguished. Nine groups of measured data are usedto train the neural network, the mapping relationship between the spike current value and the leakage hole size is roughly obtained,which shows that the leakage hole size can be roughly estimated according to the detection results.