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首页> 外文期刊>The Journal of Engineering >Application research of infrared image processing technology in the quality inspection of riveting parts
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Application research of infrared image processing technology in the quality inspection of riveting parts

机译：红外图像处理技术在铆接零件质量检验中的应用研究

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With the speeding up of the industrialisation process, lightweight products are more and more favoured by people, so the engineering plastic is born at the right moment. Engineering plastics are often used for structural materials in engineering. They have high mechanical strength, such as high temperature resistance, and are wear-resisting. With the development of engineering plastics, their advantages have been gradually accepted by people. In recent years, statistics shows that about 35% of the engineering plastics are used to produce auto spare parts. Using plastic products instead of tempered products is a trend of energy saving and environmental protection. However, there are some security risks such as the stability of the plastic riveting process. The quality of the product can be quickly detected by the artificial but some tiny product cracks are hard to detect. In order to make use of the plastic rivet products better, a product quality inspection system combining computer vision with infrared image processing technology is designed in the background of the hot riveting process of some automobile products. Firstly, this paper uses the infrared detector for image acquisition, then the digital images are obtained through the analogue digital conversion circuit.
机译：随着工业化过程的加快，轻量级产品越来越受人们青睐，所以工程塑料诞生于适当的时刻。工程塑料通常用于工程中的结构材料。它们具有高机械强度，如耐高温性，耐磨性。随着工程塑料的发展，人们的优势被人逐渐被接受。近年来，统计数据表明，大约35％的工程塑料用于生产汽车备件。使用塑料制品代替钢化产品是节能环保的趋势。但是，存在一些安全风险，例如塑料铆接过程的稳定性。产品的质量可以通过人工快速检测，但是一些微小的产品裂缝很难检测。为了利用塑料铆钉产品更好，将计算机视觉与红外图像加工技术结合的产品质量检测系统是在一些汽车产品的热铆接过程的背景下设计的。首先，本文使用红外检测器进行图像采集，然后通过模拟数字转换电路获得数字图像。

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