多传感器数据融合技术在管道无损检测中的应用  

Application of multi-sensor data fusion technology in pipeline nondestructive testing

作　　者：黄书童 贾晓丽[1] HUANG Shutong;JIA Xiaoli(College of Mechanical and Transportation Engineering,China University of Petroleum,Beijing 102249,China)

机构地区：[1]中国石油大学(北京)机械与储运工程学院,北京102249

出　　处：《无损检测》2024年第4期69-73,86,共6页Nondestructive Testing

基　　金：国家自然科学基金(11872377,11402309,12372145);中国石油大学(北京)自然科学基金(2462020XKJS01);北京市昌平区“科技副总”专项(202302004010)。

摘　　要：管道是石油和天然气最经济高效的运输方式之一,确保管道的安全性和完整性至关重要,管道无损检测是油气管道安全稳定运行的有力保障。在管道检测数据处理方面,低计算成本、高精度的多传感器数据融合模型在未来管道缺陷识别量化和轮廓重构方面具有广阔的应用前景。对多传感器数据融合技术及其在管道检测领域的应用进行了综述,讨论了多传感器数据融合技术在复合检测技术、管道缺陷识别以及量化方面的应用,对存在的问题和未来的研究方向进行了分析。Pipeline is the most economical and efficient transportation mode of oil and gas.It is very important to ensure the safety and integrity of pipeline.Nondestructive testing of pipeline is a powerful guarantee for the safe and stable operation of oil and gas pipeline.In the data processing of pipeline inspection,the multi-sensor data fusion model with low computational cost and high precision has a broad application prospect in the future pipeline defect identification quantification and contour reconstruction.In this paper,the multi-sensor data fusion technology and its application in the field of pipeline inspection were reviewed,the application of multi-sensor data fusion technology in composite inspection technology,pipeline defect identification and quantification was discussed,and the existing problems and future research directions were analyzed.

关 键 词：管道无损检测 数据融合 复合检测 缺陷识别 缺陷量化 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TE973[自动化与计算机技术—控制科学与工程] TG115.28[石油与天然气工程—石油机械设备]