| 摘 要: 为了充分发挥金属磁记忆技术在管道缺陷检测中的优势，解决磁记忆信号本身不能判断缺陷类型的问题，建立了一种管道缺陷识别分类方法，设计并开发了一套基于C#和MATLAB混合编程的长输油气管线缺陷识别软件系统。该软件利用MATLAB对长输管线金属磁记忆数据进行数据处理、特征量计算及方法建模等工作，利用C#搭建面向用户的操作界面，使用户能够快速准确地对长输油气管道中的腐蚀缺陷、焊缝应力集中区域、弯管应力集中区域进行识别定位并加以区分。 |
| 关键词: 金属磁记忆技术；混合编程；管道缺陷识别；软件系统 |
|
中图分类号: TP271
文献标识码: A
|
| 基金项目: 国家重点研发计划项目“临海油气管道检测、监控技术研究与仪器装备研制”(2016YFC0802302). |
|
| Design and Implementation of Defect Recognition Software System for Long-distance Oil and Gas Pipeline |
|
WAN Li1, SHU Shunqiang2, WAN Yong3, YANG Yong4, LIU Chao4, DAI Yongshou3
|
( 1.Logistics Management Office, China University of Petroleum, Qingdao 266580, China ;
2.College of Control Science and Engineering, China University of Petroleum, Qingdao 266580, China;
3.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China;
4.Special Equipment Inspection Institute, Technical Detection Center, Shengli Oil Field of SINOPEC, Dongying 257000, China)
wanli@upc.edu.cn; Z20050038@s.upc.edu.cn; upcwanyong@163.com; yangyong056.slyt@sinopec.com; liuchao131.slyt@sinopec.com; daiys@upc.edu.cn
|
| Abstract: In order to exert the advantages of metal magnetic memory technology in pipeline defect recognition, and solve the problem that magnetic memory signal itself cannot determine the defect types, this paper proposes to design a pipeline defect recognition and classification method, and develop a defect type recognition software system for longdistance oil and gas pipeline. The development is based on mixed programming of C# and MATLAB (Matrix & Laboratory). MATLAB is used in the software for data processing, feature quantity calculating and method modeling on the metal magnetic memory data of long-distance pipelines. C# is adopted to build a user-oriented operation interface. Thus, users are able to quickly and accurately recognize, position, and distinguish the corrosion defects, weld stress concentration regions and elbow stress concentration regions in long-distance oil and gas pipelines. |
| Keywords: metal magnetic memory technology; mixed programming; pipeline defect recognition; software system |
