基于激光扫描基准修正的埋地管道泄漏定位  

Leakage location of buried pipeline based on laser scanning reference correction

作　　者：李荣光 孙伶 于立成 姜柳生 LI Rong-guang;SUN Ling;YU Li-cheng;JIANG Liu-sheng(Pipe China North Pipeline Company,Langfang 065000,China;Hilong Group(Shanghai)Information Technology Limited Company,Shanghai 201900,China)

机构地区：[1]国家管网集团北方管道有限责任公司,河北廊坊065000 [2]海隆石油集团(上海)信息技术有限公司,上海201900

出　　处：《激光与红外》2025年第4期540-545,共6页Laser & Infrared

基　　金：智慧管网建设运行标准研究项目(No.JCCL202108)资助。

摘　　要：传统基于传感器采集压力的管道泄露检测,很容易受到管道周围环境噪声、土壤条件、管道材质等因素的影响,导致定位结果不准确。针对上述问题,研究一种基于激光扫描基准修正的埋地管道多点泄漏定位方法。利用激光扫描技术采集埋地管道内部图像并实施基准修正处理。利用Canny算法检测图像边缘并提取几何特征。以几何特征为输入,训练随机森林算法,利用随机森林算法识别埋地管道泄漏点并通过坐标转换,实现埋地管道多点泄漏定位。结果表明:所研究方法在泄露点定位上的平均误差最小,显示出较高的定位精度和稳定性。Traditional pipeline leakage detection methods relying solely on pressure sensors often suffer from inaccuracies due to various factors,including environmental noise,soil conditions,and pipeline materials around the pipeline,causing inaccurate positioning results.To overcome these challenges,a multi-point leakage localization method for buried pipe-lines based on laser scanning benchmark correction is studied.Firstly,laser scanning technology is used to collect images of buried pipelines and implementing benchmark correction processing.Subsequently,the Canny algorithm is adopted to detect image edges and extract geometric features and the random forest algorithm is trained with the geometric features as input.The leakage points of buried pipelines are recognized by the random forest algorithm and multi-point leakage localization is achieved through coordinate transformation.The results indicate that the studied method has the smallest average error in locating the leakage point,demonstrating high positioning accuracy and stability.

关 键 词：激光扫描 基准修正 埋地管道 多点泄漏 特征提取 定位方法 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TN249[自动化与计算机技术—控制科学与工程]