【摘要】：由于市場(chǎng)對(duì)電解陰極銅表面質(zhì)量要求的提高,產(chǎn)品需要經(jīng)過篩選將不符合標(biāo)準(zhǔn)的陰極銅剔除后才能投入市場(chǎng),為此云南某企業(yè)為了滿足市場(chǎng)需求加入了人工篩選環(huán)節(jié),但人工檢測(cè)存在的一些問題:沒有固定篩選標(biāo)準(zhǔn)、效率和準(zhǔn)確率低下、工人勞動(dòng)強(qiáng)度大。隨著機(jī)器視覺的廣泛普及,該技術(shù)在工業(yè)生產(chǎn)中的應(yīng)用范圍也越來越廣,已成為當(dāng)今工業(yè)自動(dòng)化中不可或缺的重要技術(shù)之一,本文通過應(yīng)用機(jī)器視覺技術(shù)解決當(dāng)前人工篩選存在的問題,實(shí)現(xiàn)陰極銅的全自動(dòng)化檢測(cè)與篩選。在生產(chǎn)線上機(jī)器視覺是獲取目標(biāo)圖像信息的重要手段,應(yīng)用圖像處理技術(shù)增加它的自主識(shí)別能力。本論文通過分析機(jī)器視覺技術(shù)的特點(diǎn),結(jié)合當(dāng)下生產(chǎn)需求,設(shè)計(jì)了基于機(jī)器視覺的陰極銅表面質(zhì)量檢測(cè)系統(tǒng),該系統(tǒng)主要解決的問題有(1)提取采集到的圖像信息(2)準(zhǔn)確、快速的提取陰極銅的表面特征參數(shù),判斷陰極銅分類(3)機(jī)械手根據(jù)分類對(duì)陰極銅進(jìn)行篩選。針對(duì)需要解決的問題,以圖像處理為核心展開研究工作。本論文的研究?jī)?nèi)容如下:首先根據(jù)工程實(shí)際生產(chǎn)條件確定光源、攝像機(jī)、鏡頭、圖像采集卡等硬件設(shè)備的參數(shù),確保采集到能夠滿足處理足需求的圖像;其次研究機(jī)器視覺技術(shù),在Halcon平臺(tái)上設(shè)計(jì)基于邊緣檢測(cè)和閾值分割的識(shí)別算法對(duì)采集到的目標(biāo)圖像進(jìn)行分析、理解,并提取所需信息;然后開發(fā)人機(jī)交互界面,及時(shí)反饋陰極銅表面質(zhì)量等信息,實(shí)現(xiàn)機(jī)械手與PC機(jī)間的通訊。最后完成相關(guān)實(shí)驗(yàn),發(fā)現(xiàn)存在問題,為進(jìn)一步的優(yōu)化提供依據(jù)。將圖像處理技術(shù)應(yīng)用于陰極銅表面質(zhì)量的檢測(cè),解決了人工檢測(cè)無固定標(biāo)準(zhǔn)、人機(jī)工作不匹配、準(zhǔn)確率低、工人勞動(dòng)量大的問題,徹底擺脫了人為因素的干擾、實(shí)現(xiàn)陰極銅的全自動(dòng)化生產(chǎn)。
[Abstract]:Due to the improvement of the surface quality requirements of electrolytic cathode copper in the market, the products need to be screened to eliminate the cathode copper which does not meet the standard before it can be put into the market. Therefore, an enterprise in Yunnan has joined the manual screening link in order to meet the market demand. However, there are some problems in manual detection: there is no fixed screening standard, the efficiency and accuracy are low, and the labor intensity of workers is high. With the wide popularization of machine vision, the application of this technology in industrial production is becoming more and more extensive, and it has become one of the indispensable and important technologies in industrial automation. In this paper, machine vision technology is applied to solve the existing problems of manual screening, and the automatic detection and screening of cathode copper is realized. Machine vision is an important means to obtain target image information on production line, and image processing technology is applied to increase its autonomous recognition ability. In this paper, by analyzing the characteristics of machine vision technology and combining with the current production requirements, a cathode copper surface quality detection system based on machine vision is designed. The main problems solved by the system are as follows: (1) extracting the collected image information (2) accurately and quickly extracting the surface characteristic parameters of cathode copper, and judging the classification of cathode copper (3) the manipulator selects the cathode copper according to the classification. Aiming at the problems that need to be solved, the research work is carried out with image processing as the core. The research contents of this paper are as follows: firstly, the parameters of light source, camera, lens, image acquisition card and other hardware equipment are determined according to the actual production conditions of the project, so as to ensure that the image which can meet the needs of processing can be collected. Secondly, the machine vision technology is studied, and the recognition algorithm based on edge detection and threshold segmentation is designed on Halcon platform to analyze, understand and extract the required information. Then the human-computer interaction interface is developed to feedback the surface quality of cathode copper in time to realize the communication between manipulator and PC. Finally, the related experiments are completed, and the existing problems are found, which provides the basis for further optimization. The image processing technology is applied to the detection of the surface quality of cathode copper, which solves the problems of no fixed standard of manual detection, mismatching of man-machine work, low accuracy and large labor volume of workers, and completely gets rid of the interference of human factors. Realize the full automation production of cathode copper.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TF811;TP391.41

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本文編號(hào)：2492471