本文選題：斜拉鏈機 + 自動化故障檢測�。� 參考：《西南交通大學》2017年碩士論文

【摘要】：斜拉鏈機作為一種物料運輸裝置在工業(yè)生產(chǎn)領域得到普遍的使用,斜拉鏈機的滾輪是斜拉鏈機的重要組成部分,且在長期的負重工作中容易出現(xiàn)滾輪拖動滑行以及滾輪脫軌故障。目前對于斜拉鏈機滾輪的故障檢測主要以人工為主,且現(xiàn)有的自動化檢測方式存在諸多弊端,因此本論文提出一種利用圖像處理來實現(xiàn)斜拉鏈機滾輪故障自動化檢測的方法,并且設計實現(xiàn)了嵌入式檢測終端、服務器軟件以及客戶端軟件,最終構建了一套斜拉鏈機滾輪故障檢測系統(tǒng)。論文簡要描述了斜拉鏈機的工作原理,并對已有斜拉鏈機滾輪的自動化檢測方法進行了分析,提出了采用圖像處理方式來實現(xiàn)斜拉鏈機滾輪故障自動化檢測系統(tǒng)的設計。并重點從硬件設計、圖像處理算法設計和軟件設計三個方面來對整個系統(tǒng)的設計與實現(xiàn)進行闡述。硬件方面描述了檢測端核心板、攝像機、鏡頭、光源等硬件的選型,并描述了嵌入式檢測端核心板外圍電路的設計與實現(xiàn)。圖像處理方面描述了滾輪故障的檢測原理,并詳細的描述了圖像采集、圖像預處理、圖像分割、圖像特征提取以及UPC-E條形碼識別等圖像處理算法實現(xiàn)以及優(yōu)化。軟件方面分別對檢測端嵌入式Linux平臺、服務器端Linux平臺以及客戶端Windows平臺的應用軟件設計與實現(xiàn)進行了描述。最后描述了實驗平臺的搭建以及試驗數(shù)據(jù)的獲取,并通過試驗分析驗證了檢測方法的可行性以及整個系統(tǒng)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.
【學位授予單位】：西南交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TH22

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本文編號：1872018