本文選題：鋼絲繩芯輸送帶 + 接頭檢測(cè)��； 參考：《山西大學(xué)》2015年碩士論文

【摘要】：由于鋼絲繩芯輸送帶具有抗沖擊性好、拉伸強(qiáng)度大、使用伸長小、壽命長、成槽性和耐曲撓性好等優(yōu)點(diǎn),被廣泛用于煤礦、建材、物流、冶金等各行各業(yè)。在礦用鋼絲繩芯帶式輸送系統(tǒng)中,一條完整的鋼絲繩芯輸送帶通常是由若干段皮帶經(jīng)過搭接、硫化而成的,因此輸送帶的接頭部分是整個(gè)運(yùn)輸系統(tǒng)的薄弱環(huán)節(jié),它將直接影響到整個(gè)運(yùn)輸系統(tǒng)的安全運(yùn)行和使用壽命。為了及時(shí)發(fā)現(xiàn)事故隱患,確保輸送帶的安全運(yùn)行,接頭位置的無損檢測(cè)便顯得尤為重要。本文通過實(shí)地考察現(xiàn)有鋼絲繩芯輸送帶監(jiān)測(cè)系統(tǒng),在分析上傳的皮帶圖像的特征的基礎(chǔ)上,提出了一種基于紋理編碼的鋼絲繩芯輸送帶接頭檢測(cè)方法,得到了圖像中每一行的鋼絲繩根數(shù),根據(jù)接頭的限定條件,找出了一組接頭檢測(cè)的最佳參數(shù),準(zhǔn)確地尋找出輸送帶的接頭圖像,利用尋找特定接頭的方法對(duì)檢測(cè)圖像進(jìn)行排序,使其與實(shí)際接頭相對(duì)應(yīng),并通過Harris角點(diǎn)檢測(cè)技術(shù)用檢測(cè)出來的一系列角點(diǎn)標(biāo)記出了接頭部分的搭接線。通過大量的實(shí)驗(yàn)以及實(shí)際應(yīng)用,證明該方法具有檢測(cè)精度高、實(shí)時(shí)性強(qiáng)等特點(diǎn)。特別是對(duì)于修補(bǔ)較少、帶況良好的鋼絲繩芯輸送帶,接頭的檢測(cè)精度可達(dá)到100%。
[Abstract]:Because of the advantages of good impact resistance, high tensile strength, small service elongation, long service life, good grooving and flexural resistance, steel wire core conveyor belt has been widely used in coal mine, building materials, logistics, metallurgy and other industries. In the belt conveyer system of mine wire rope core, a complete steel rope core conveyor belt is usually made of several pieces of belt which are overlaid and vulcanized, so the joint part of the conveyer belt is the weak link of the whole transportation system. It will directly affect the safe operation and service life of the whole transportation system. In order to find the hidden trouble in time and ensure the safe operation of the conveyor belt, the nondestructive testing of the joint position is particularly important. In this paper, based on the analysis of the features of the belt image uploaded, a method of detecting the joint of the steel rope core conveyor belt based on texture coding is put forward, which is based on the field investigation of the existing monitoring system of the steel rope core conveyor belt. The number of wire rope roots in each row of the image is obtained. According to the limited conditions of the joint, the best parameters of joint detection are found, and the joint image of the conveyor belt is found accurately, and the detection image is sorted by the method of finding a specific joint. It corresponds to the actual joint, and the lap connection of the joint is marked with a series of corner points detected by Harris corner detection technology. Through a large number of experiments and practical applications, it is proved that this method has the characteristics of high detection precision and strong real-time performance. Especially for the steel rope conveyor belt with less repair and good condition, the detection accuracy of the joint can reach 100.
【學(xué)位授予單位】：山西大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TD528.1

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本文編號(hào)：1845300