【摘要】：隨著社會的發(fā)展與進步,電子產(chǎn)品在日常生活中扮演著越來越重要的角色,而插件機是電子產(chǎn)品生產(chǎn)線上不可或缺的設備。插件機以自動插件代替?zhèn)鹘y(tǒng)的手工插件,大大提高了插件的效率,并且減小了因人工失誤造成的損失。所以,無論在國內(nèi)還是國外,插件機都有著很好的發(fā)展前景。本文對基于機器視覺的插件機的主要部分做了結構設計與分析,完成了運動控制系統(tǒng)的設計和圖像采集與識別的設計,并通過實際驗證,滿足插件要求。針對實際插件要求,設計插件機的運動控制系統(tǒng),確定機器的主要結構和技術指標。在了解插件機的工作原理和工作流程的基礎上,確定機器上各軸要實現(xiàn)的功能,然后其做力學分析,由分析的結果選取合適型號的電機和驅(qū)動器,設計外圍電路圖。完成運動控制系統(tǒng)設計后,開展對圖像采集系統(tǒng)的設計。圖像采集模塊是整個機器的核心,文中對該部分提出了兩種結構設計方案,分別為基于移動相機的圖像采集系統(tǒng)和基于固定相機的圖像采集系統(tǒng),并針對這兩種結構設計了標定方法。機器的標定是連接機器和相機的橋梁,標定的方法與精度直接決定了機器的精度。文中分別介紹了基于固定相機和移動相機標定方法,并通過多組插件實驗驗證該方法的可行性。圖像采集模塊確定后就可以采集圖片并進行處理,圖像處理過程中用到的算法,分為元器件識別和Mark點識別。其中元器件識別算法包括引腳識別和輪廓識別;Mark點識別首先通過Blob分析,再用最小二乘法做圓擬合。除此之外,本文還提出一種基于灰度值兩次線性變換的圖像增強算法,能夠較好地達到預處理效果。在完成以上工作后,可以對樣機進行調(diào)試和性能測試,包括圖像處理精度實驗、機械精度測試實驗、插件速度測試實驗等。實驗結果表明該機器能夠滿足設計需求。
[Abstract]:With the development and progress of society, electronic products play a more and more important role in daily life, and plug-in machine is an indispensable equipment in the production line of electronic products. The plug-in machine replaces the traditional manual plug-in with the automatic plug-in, which greatly improves the efficiency of the plug-in and reduces the loss caused by human error. Therefore, both at home and abroad, plug-in machines have a very good development prospects. In this paper, the main parts of the plug-in machine based on machine vision are designed and analyzed, and the design of motion control system and image acquisition and recognition are completed. The motion control system of the plug-in machine is designed according to the requirements of the actual plug-in, and the main structure and technical specifications of the machine are determined. On the basis of understanding the working principle and working flow of the plug-in machine, the functions to be realized on each axis of the machine are determined, and then the mechanical analysis is done. According to the results of the analysis, the appropriate type of motor and driver are selected, and the peripheral circuit diagram is designed. After the motion control system is designed, the image acquisition system is designed. The image acquisition module is the core of the whole machine. In this paper, two kinds of structure design schemes are put forward, which are the image acquisition system based on the mobile camera and the image acquisition system based on the fixed camera. The calibration method is designed for these two structures. The calibration of machine is a bridge between machine and camera. The method and precision of calibration directly determine the accuracy of machine. The calibration methods based on fixed camera and mobile camera are introduced, and the feasibility of the method is verified by multiple plug-in experiments. The image acquisition module can collect images and process them. The algorithms used in image processing are divided into component recognition and Mark point recognition. The recognition algorithm of components includes pin recognition and contour recognition. Mark point recognition is firstly analyzed by Blob and then circle fitting is done by least square method. In addition, this paper proposes an image enhancement algorithm based on gray value quadratic linear transformation, which can achieve better preprocessing effect. After the above work, the prototype can be debugged and tested, including image processing precision experiment, mechanical precision test experiment, plug-in speed test experiment and so on. The experimental results show that the machine can meet the design requirements.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41

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