斜拉链机滚轮故障检测系统的设计与实现

发布时间：2018-05-11 02:28

本文选题：斜拉链机 + 自动化故障检测　；参考：《西南交通大学》2017年硕士论文

【摘要】：斜拉链机作为一种物料运输装置在工业生产领域得到普遍的使用,斜拉链机的滚轮是斜拉链机的重要组成部分,且在长期的负重工作中容易出现滚轮拖动滑行以及滚轮脱轨故障。目前对于斜拉链机滚轮的故障检测主要以人工为主,且现有的自动化检测方式存在诸多弊端,因此本论文提出一种利用图像处理来实现斜拉链机滚轮故障自动化检测的方法,并且设计实现了嵌入式检测终端、服务器软件以及客户端软件,最终构建了一套斜拉链机滚轮故障检测系统。论文简要描述了斜拉链机的工作原理,并对已有斜拉链机滚轮的自动化检测方法进行了分析,提出了采用图像处理方式来实现斜拉链机滚轮故障自动化检测系统的设计。并重点从硬件设计、图像处理算法设计和软件设计三个方面来对整个系统的设计与实现进行阐述。硬件方面描述了检测端核心板、摄像机、镜头、光源等硬件的选型,并描述了嵌入式检测端核心板外围电路的设计与实现。图像处理方面描述了滚轮故障的检测原理,并详细的描述了图像采集、图像预处理、图像分割、图像特征提取以及UPC-E条形码识别等图像处理算法实现以及优化。软件方面分别对检测端嵌入式Linux平台、服务器端Linux平台以及客户端Windows平台的应用软件设计与实现进行了描述。最后描述了实验平台的搭建以及试验数据的获取,并通过试验分析验证了检测方法的可行性以及整个系统方案的可行性。
[Abstract]:As a kind of material transportation device, inclined zipper is widely used in the field of industrial production. The roller of inclined zipper is an important part of skew zipper. And in the long-term load-bearing work it is easy to roll wheel drag glide and roller derailment fault. At present, the fault detection of rollers of inclined zipper machine is mainly manual, and the existing automatic detection methods have many disadvantages. Therefore, this paper presents a method of automatic fault detection of rollers of inclined zipper machine by image processing. The embedded detection terminal, server software and client software are designed and implemented. Finally, a fault detection system for rollers of oblique zipper is constructed. This paper briefly describes the working principle of the inclined zipper machine, analyzes the automatic detection method of the rolling wheel of the existing inclined zipper machine, and puts forward the design of the automatic fault detection system for the rolling wheel of the inclined zipper machine by using the image processing method. The hardware design, image processing algorithm design and software design are emphasized to describe the design and implementation of the whole system. In terms of hardware, the hardware selection of the core board, camera, lens and light source is described, and the design and implementation of the peripheral circuit of the core board of the embedded detection terminal are also described. Image processing describes the principle of roller fault detection, and describes the image acquisition, image preprocessing, image segmentation, image feature extraction, UPC-E bar code recognition and other image processing algorithm implementation and optimization. The application software design and implementation of embedded Linux platform, Linux platform and Windows platform are described. Finally, the construction of the experimental platform and the acquisition of experimental data are described. The feasibility of the testing method and the feasibility of the whole system are verified by the experimental analysis.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH22

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