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工程硕士学位论文 基基于于互互信信息息 VMD 和和 SVM 的的煤煤矿矿流流体体管管网网泄泄漏漏 检检测测算算法法与与软软件件设设计计 Leakage DetectionAlgorithm and Software Design of Coal Mine Fluid Pipeline Network Based on Mutual Ination VMD and SVM 作作者者赵紫薇赵紫薇 导导师师赵洪亮赵洪亮教授教授 山东科技大学 二〇二〇年七月 万方数据 中图分类号TP277学校代码10424 UDC681.5密级公开 山东科技大学 工程硕士学位论文 基基于于互互信信息息VMD与与SVM的的煤煤矿矿流流体体管管网网泄泄漏漏 检检测测算算法法与与软软件件设设计计 Leakage DetectionAlgorithm and Software Design of Coal Mine Fluid Pipeline Network Based on Mutual Ination VMD and SVM 作者赵紫薇入学时间2017 年 9 月 导师赵洪亮职称教授 申请学位工程硕士所在学院 电气与自动化工程学院 学科（类别）控制工程方向（领域）自动检测与诊断技术 答辩日期2020 年 7 月 12 日 提交日期2020 年 7 月 19 日 万方数据 学位论文使用授权声明学位论文使用授权声明 本人完全了解山东科技大学有关保留、使用学位论文的规定，同意本人所撰写的学位 论文的使用授权按照学校的管理规定处理。 作为申请学位的条件之一，学校有权保留学位论文并向国家有关部门或其指定机构送 交论文的电子版和纸质版；有权将学位论文的全部或部分内容编入有关数据库发表，并可 以以电子、网络及其他数字媒体形式公开出版；允许学校档案馆和图书馆保留学位论文的 纸质版和电子版，可以使用影印、缩印或扫描等复制手段保存和汇编学位论文；为教学和 科研目的，学校档案馆和图书馆可以将公开的学位论文作为资料在档案馆、图书馆等场所 或在校园网上供校内师生阅读、浏览。 （保密的学位论文在解密后适用本授权） 作者签名导师签名 日期年月日日期年月日 万方数据 学位论文原创性声明学位论文原创性声明 本人呈交给山东科技大学的学位论文，除所列参考文献和世所公认的文献外，全部是 本人攻读学位期间在导师指导下的研究成果。除文中已经标明引用的内容外，本论文不包 含任何其他个人或集体已经发表或撰写过的研究成果。对本文的研究做出贡献的个人和集 体，均已在文中以明确方式标明。本人完全意识到本声明的法律结果由本人承担。 若有不实之处，本人愿意承担相关法律责任。 学位论文作者签名 年月日 万方数据 学位论文审查认定书学位论文审查认定书 研究生在规定的学习年限内，按照培养方案及个人培养计划，完成了课 程学习，成绩合格，修满规定学分；在我的指导下完成本学位论文，论文中的观点、数据、 表述和结构为我所认同，论文撰写格式符合学校的相关规定，同意将本论文作为申请学位 论文。 导师签名 日期 万方数据 摘摘要要 煤矿井下压风供水管道在煤矿安全生产环节中起关键性作用，由于煤矿井下自然环境 恶劣，空气湿度大，管道极易被腐蚀，泄漏现象时有发生。因此，对煤矿管网泄漏情况进 行实时监控并确定泄漏源的位置显得尤为重要。本文提出将互信息VMD算法、小波改进阈 值降噪算法、SVM算法和互相关定位算法应用到煤矿管网泄漏检测中，以LabVIEW为开发 平台设计了一套上位机软件检测系统，对煤矿安全生产具有重要意义。 首先，对小波阈值降噪算法中的阈值函数进行改进，将改进后的小波降噪算法与互信 息VMD算法进行结合组成新的联合降噪算法， 利用联合降噪算法对管道振动信号进行降噪 处理；其次，提取降噪后信号的多尺度熵特征组成特征向量，利用支持向量机对其进行测 试判断；然后，利用互相关定位算法求取时延估计值，根据定位公式对管道泄漏点进行定 位；最后，根据互信息VMD算法、SVM算法以及互相关定位算法，以LabVIEW为软件开 发平台，设计了一套管网泄漏检测系统，其中包括实时信号显示模块、信号去噪处理模块、 管道泄漏检测与定位模块等。 本文基于小波降噪算法原理对小波阈值函数进行改进，将改进的小波降噪算法与互信 息VMD算法进行结合，用于管道信号降噪处理，增强了信号信噪比，提高了信号利用率， 为后期SVM做管道泄漏检测打下良好的基础。依据井下管道结构，搭建管道系统模型，在 实验室环境下模拟管道泄漏， 对管道泄漏检测、 泄漏点定位算法和软件系统进行实际测试， 并对测试结果进行数据分析。验证了本文所提算法的有效性以及软件检测系统的实用性。 关键词关键词互信息VMD；改进小波阈值函数；泄漏检测；定位；LabVIEW 万方数据 Abstract The underground compressed air water supply pipeline plays a key role in the safety production of coal mine. Due to the bad natural environment and high air humidity, the pipeline is easy to be corroded, and the leakage phenomenon occurs from time to time. Therefore, it is particularly important to monitor the leakage of coal mine pipe network in real time and determine the location of leakage source. This thesis proposes to apply mutual ination VMD algorithm, wavelet improved threshold noise reduction algorithm, SVM algorithm and cross-correlation localization algorithm to the leakage detection of coal mine pipe network, and designs a set of upper computer software detection system based on LabVIEW development plat, which is of great significance to coal mine safety production. Firstly, the threshold function of wavelet threshold denoising algorithm is improved, and a new joint denoising algorithm is ed by combining the improved wavelet denoising algorithm with mutual ination VMD algorithm, and the joint denoising algorithm is used to denoise the pipeline vibration signal; Secondly, the multi-scale entropy features of the denoised signal are extracted to the feature vector, and the support vector machine is used to test and judge; Then, the cross-correlation location algorithm is used to obtain the time delay estimation value, and the pipeline leakage point is located according to the location ula; Finally, according to mutual ination VMD algorithm, SVM algorithm and cross-correlation localization algorithm, a pipeline leakage detection system is designed based on LabVIEW software development plat, including real-time signal display module, signal denoising processing module, pipeline leakage detection and location module, etc. In this thesis, the wavelet threshold function is improved based on the principle of wavelet de-noising algorithm. The improved wavelet de-noising algorithm is combined with mutual ination VMD algorithm for pipeline signal de-noising processing, which enhances the signal-to-noise ratio and improves the signal utilization rate, which lays a good foundation for the later SVM pipeline leakage detection. According to the underground pipeline structure, the pipeline system model is built, the pipeline leakage is simulated in the laboratory environment, the pipeline leakage detection, leakage point positioning algorithm and software system are tested, and the test results are analyzed. The effectiveness of the proposed algorithm and the practicability of the software detection system are verified. Keywords Mutual ination VMD; Improved wavelet threshold function; Leak detection; Location; LabVIEW 万方数据 目目录录 图清单..............................................................................................................................................I 表清单........................................................................................................................................... III 1 绪 论........................................................................................................................................... 1 1.1 课题研究背景和意义....................................................................................................... 1 1.2 管道泄漏检测方法综述................................................................................................... 2 1.3 管道泄漏国内外研究现状............................................................................................... 3 1.4 本文主要研究内容及结构安排....................................................................................... 6 2 基于互信息 VMD 的管道泄漏检测算法研究..........................................................................8 2.1 VMD 算法基础理论..........................................................................................................8 2.2 互信息方法原理............................................................................................................. 10 2.3 互信息 VMD 算法原理分析..........................................................................................10 2.4 VMD 分解尺度选择........................................................................................................11 2.5 本章小结......................................................................................................................... 12 3 管道泄漏信号去噪算法研究................................................................................................... 13 3.1 小波去噪原理分析......................................................................................................... 13 3.2 改进的小波阈值函数降噪算法研究 ........................................................................... 15 3.3 互信息 VMD 和改进小波阈值函数结合的降噪算法分析与评估..............................17 3.4 本章小结......................................................................................................................... 20 4 管道泄漏信号特征提取与模式识别....................................................................................... 21 4.1 管道泄漏信号特征提取................................................................................................. 21 4.2 泄漏信号模式识别......................................................................................................... 23 4.3 泄漏点定位..................................................................................................................... 26 4.4 本章小结......................................................................................................................... 27 5 管道泄漏检测与定位系统软件设计....................................................................................... 28 5.1 软件系统总体设计......................................................................................................... 28 5.2 信号显示模块设计......................................................................................................... 28 5.3 数据通信模块设计......................................................................................................... 30 5.4 信号检测模块设计......................................................................................................... 31 5.5 数据保存模块设计......................................................................................................... 35 5.6 本章小结......................................................................................................................... 36 万方数据 6 系统测试................................................................................................................................... 37 6.1 系统测试方案................................................................................................................. 37 6.2 软件系统测试................................................................................................................. 39 6.3 测试数据分析................................................................................................................. 41 6.4 本章小结......................................................................................................................... 43 7 总结与展望............................................................................................................................... 44 7.1 总结................................................................................................................................. 44 7.2 展望................................................................................................................................. 44 参考文献 作者简历 致谢 学位论文数据集 万方数据 Contents List of Figures.................................................................................................................................I List of Tables................................................................................................................................III 1 Introduction.................................................................................................................................1 1.1 Backgroung and significance of the subject.......................................................................1 1.2 Overview of pipeline leakage detection s...............................................................2 1.3 Research status of pipeline leakage at home and abroad....................................................3 1.4 The main content and structure of this thesis......................................................................6 2 Research on pipeline leakage detection algorithm based on mutual ination VMD..... 8 2.1 Basic theory of VMD algorithm.........................................................................................8 2.2 Principle of mutual ination ...........................................................................10 2.3 Principle analysis of mutual ination VMD algorithm...............................................10 2.4 Selection of VMD decomposition scale............................................................................11 2.5 Summary...........................................................................................................................12 3 Research on DenoisingAlgorithm of pipeline leakage signal...............................................13 3.1Analysis of wavelet de-noising principle..........................................................................13 3.2 Research on the improved denoising algorithm of wavelet threshold function............... 15 3.3 Analysis and uation of denoising algorithm based on mutual ination VMD and improved wavelet threshold function..................................................................................... 17 3.4 Summary...........................................................................................................................20 4 Feature extraction and pattern recognition of pipeline leakage signal................................21 4.1 Feature extraction of pipeline leakage signal................................................................... 21 4.2 Leakage signal pattern recognition...................................................................................23 4.3 Leak location.....................................................................................................................26 4.4 Summary...........................................................................................................................27 5 Software design of pipeline leak detection and location system...........................................28 5.1 Overall design of software system....................................................................................28 5.2 Design of signal display module .....................................................................................27 5.3 Design of data communication module ..........................................................................29 5.4 Design of signal detection module....................................................................................31 5.5 Design of data saving module .........................................................................................35 万方数据 5.6 Summary...........................................................................................................................36 6 System test.................................................................................................................................37 6.1 System test scheme...........................................................................................................37 6.2 Software system test......................................................................................................... 39 6.3Analysis of test data..........................................................................................................41 6.4 Summary...........................................................................................................................43 7 Conclusion and prospect..........................................................................................................44 7.1 Conclusion........................................................................................................................44 7.2 Prospect.............................................................................................................................44 References Author’s Resume Acknowledgements Thesis Data Collection 万方数据 I 图清单 图序号 图名称页码 图 1.1 管道泄漏检测方法分类框图 2 Fig. 1.1Classification diagram of pipeline leakage detection 2 图 3.1小波阈值降噪流程图 14 Fig. 3.1Flow chart of wavelet threshold denoising 14 图 3.2 联合降噪算法原理图17 Fig. 3.2 Schematic diagram of joint denoising algorithm17 图 3.3 传感器 1-4 采集的振动信号18 Fig. 3.3 Vibration signals collected by sensors 1-418 图 3.4 VMD 分解分量图18 Fig. 3.4 VMD decomposition component diagram18 图 3.5 降噪信号对比图19 Fig. 3.5 Denoising signal comparison chart19 图 4.1 多尺度熵曲线图22 Fig. 4.1 Multiscale entropy curve22 图 4.2 支持向量机分类原理图23 Fig.4.2 Classification schematic diagram of support vector machine23 图 4.3 管道泄漏定位原理图27
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