Research on the Algorithm for Locating Leakage Points in Coal Mine Pipelines

SUN Hu; YANG Yunbo; REN Yuanfei; ZHANG Jinchuan; SUN Shouji; ZHANG Ping

doi:10.16545/j.cnki.cmet.2025.03.010

Abstract：Coal mine pipeline leakage is a major hidden danger in coal mine safety production.It not only pollutes the environment,but also may pose a threat to the safety of miners' lives.Traditional manual detection methods are not only inefficient,but also difficult to ensure accuracy.Therefore,it is particularly urgent to develop a fast and accurate pipeline leak point localization algorithm.Using cross-correlation technology to estimate the time delay of leakage signals,in order to accurately determine the location of leakage points.In addition,the generalized cross-correlation delay estimation method was used for weighted processing in the frequency domain,effectively reducing noise interference and improving the accuracy of delay estimation.The experimental results showed that in a noise free environment,the delay estimation results of GCC-ROTH,GCC-PHAT,and GCC-SCoT functions were completely consistent with the preset delay.Even in low-noise environments,the GCC-PHAT function exhibits excellent noise resistance and maintains stable delay estimation values.In high noise environments,the GCC-PHAT function has a greater advantage in time delay estimation accuracy.This provides an efficient and reliable solution for the precise location of leakage points in coal mine pipelines.By using the generalized cross-correlation delay estimation method,the accuracy of leakage detection and the robustness of the system were greatly improved.