| 基于C#与MATLAB混合编程的管道缺陷类型识别实验系统软件开发 |
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| 引用本文： | 万勇,万莉,戴永寿. 基于C#与MATLAB混合编程的管道缺陷类型识别实验系统软件开发[J]. 实验技术与管理, 2020, 0(5): 52-57 |
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| 作者姓名： | 万勇 万莉 戴永寿 |
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| 作者单位： | 中国石油大学（华东）海洋与空间信息学院;中国石油大学（华东）后勤管理处 |
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| 基金项目： | 山东省自然科学基金资助项目(ZR2016DL09);中央高校基本科研业务费专项资金(16CX02033A);胜利油田项目(埋地金属管道金属磁记忆缺陷识别技术研究)。 |
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| 摘 要： | 金属磁记忆技术是一种能够对油气管道腐蚀缺陷和应力集中缺陷进行检测的新型非接触式检测技术。目前只能实现缺陷的检测,但是缺乏对缺陷类型识别的方法。针对该问题,设计并开发了一套基于C#与MATLAB混合编程的管道缺陷类型识别软件,软件利用MATLAB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,发挥二者在软件开发上的独特优势,使用户能快速准确地实现数据特征量计算和缺陷判别实验等操作。
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| 关 键 词： | 混合编程 管道缺陷 C# MATLAB |
Development of experimental system software of defect type detection for pipeline based on C#and MATLAB hybrid programming |
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| WAN Yong,WAN Li,DAI Yongshou. Development of experimental system software of defect type detection for pipeline based on C#and MATLAB hybrid programming[J]. Experimental Technology and Management, 2020, 0(5): 52-57 |
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| Authors: | WAN Yong WAN Li DAI Yongshou |
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| Affiliation: | (College of Ocean and Space Informatics,China University of Petroleum,Qingdao 266580,China;Logistics Management Office,China University of Petroleum,Qingdao 266580,China) |
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| Abstract: | Metal magnetic memory detection technology is a new non-contact testing technology that can detect corrosion defects and stress concentration defects of oil and gas pipeline.At present,there is only defects detection method,but the type recognize method of defects is scarce.To solve this problem,a pipeline defect type recognition software is designed and developed based on mixed programming of C#and MATLAB.The software uses MATLAB for data processing,feature quantities calculating and method modeling,and adopts C#to build a user-oriented operation interface,giving full play to the unique advantages of the two in software development and enabling users to quickly and accurately calculate the data feature quantities and,discriminate defects and other operations. |
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| Keywords: | hybrid programming pipeline defect C# MATLAB |
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