基于图像处理的输电线故障巡检技术研究

发布时间：2018-03-22 12:37

本文选题：图像处理　切入点：图像分割　出处：《安徽理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：国民经济的快速发展,必然导致对电力能源的需求量也越来越大,与此同时,电力工程建设的力度也会随着需求不断加强。由于现在电力工程建设对人力和智能化的要求都比较高,而现有输电线路巡检存在如下现实情况:一方面线路大量建设,覆盖面增广,地形状况变复杂;另一方面,线路上的设备和电缆的细小故障,初期比较微小,难以被发现。鉴于以上原因,本课题提出采用图像处理技术来实现对输电线路安全隐患的检测。该检测过程分为两大步骤:第一,提出基于图像拼接和帧间差分相结合的图像分割新算法,实现红外图像中输电线的分割。第二,利用伪彩色值与输电线表面热值之间的映射关系,计算输电线表面温度平均值;再将监控的输电线实时电流与计算得到的输电线表面温度的平均值作为SVM算法的特征向量的两个属性,采用SVM算法对特征数据进行分类,由分类结果判断输电线路上是否存在安全隐患。为验证提出的算法的可行性,本课题在MATLAB平台上对提出的算法进行了仿真,仿真结果证明了该算法的可行性。进一步的,为使提出的算法得以实现,本课题设计了以无人机为载体的巡检系统整体方案,该方案包括硬件电路设计和软件设计。其中,硬件部分主要对图像处理模块中的电路进行了设计;软件设计主要包括:系统的主程序和图像分割、图像拼接子程序、SVM算法子程序等设计。本课题重点研究的适用于输电线图像分割的新方法和输电线故障判别的方法,可初步实现用图像技术对输电线路故障进行检测。有效检测输电线中存在的安全隐患,预防事故的发生,减少经济的损失。此外,为将上述算法付诸实践,本课题设计的以无人机为载体的巡检系统能够实现对输电线路红外图像的获取、处理、判断和信息的传输,提高了输电线路巡检的智能化程度,解决了人力难以到达的地区输电线路巡检困难的问题,提高了巡检效率,减少了人力开支,基本实现了本课题的要求。
[Abstract]:The rapid development of the national economy will inevitably lead to a growing demand for power energy, and at the same time, The strength of electric power engineering construction will also be strengthened with the demand. As the demand for manpower and intelligence of power engineering construction is relatively high, the existing power transmission line inspection and inspection exist as follows: on the one hand, a large number of lines are built, Coverage has increased, terrain has become more complex, on the other hand, minor failures of equipment and cables on the line are initially minor and difficult to detect. In this paper, image processing technology is used to detect the hidden danger of transmission line security. The detection process is divided into two steps: first, a new image segmentation algorithm based on the combination of image stitching and inter-frame difference is proposed. Secondly, using the mapping relationship between pseudo-color value and surface calorific value of transmission line, the average value of transmission line surface temperature is calculated. Then, the real-time current of the monitored transmission line and the average value of the calculated surface temperature of the transmission line are taken as the two attributes of the eigenvector of the SVM algorithm, and the SVM algorithm is used to classify the characteristic data. In order to verify the feasibility of the proposed algorithm, this paper simulates the proposed algorithm on the MATLAB platform, and the simulation results prove the feasibility of the algorithm. In order to realize the proposed algorithm, the whole scheme of patrol inspection system based on UAV is designed, which includes hardware circuit design and software design. The hardware part mainly designs the circuit in the image processing module, and the software design mainly includes: the main program of the system and the image segmentation, The subroutine of image stitching and SVM algorithm is designed. In this paper, a new method for image segmentation of transmission lines and a method for fault identification of transmission lines are studied. It is possible to use image technology to detect transmission line faults, effectively detect hidden safety problems existing in transmission lines, prevent accidents and reduce economic losses. In addition, in order to put the above algorithm into practice, The cruise inspection system based on UAV designed in this paper can acquire, process, judge and transmit the infrared image of transmission line, and improve the intelligent degree of transmission line inspection. It solves the problem of the difficult inspection of transmission line in the area where manpower is difficult to reach, improves the efficiency of the inspection, reduces the expenditure of manpower, and basically realizes the requirement of this subject.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.41;TM755

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