This paper presents the industrial parts change recognition model using machine vision image processing in the framework of industrial information integration and it is applied research's category. Therefore, this study implements a new industrial information integration engineering (IIIE)system by combining components that have previously been expressed separately by previous research to develop inspection of industrial parts and improve its quality and accuracy of human visual inspection status and this is the innovative aspect of this research. We used machine vision to improve human vision in change recognition in objects such as cracks, fractures… and that has been the research issue. So, this study aims to aggregate different tools identified by other researchers in change recognition in different parts because human vision is weak, and current mechanical tools such as sensors have several problems such as calibration and accurate maintenance and repair and errors. The proposed model can be used in two fields, first, recognition of the difference between family-made industrial parts with the standard sample in the production lines online, second, monitoring and controlling changes in the working industrial parts such as moving rails, train wheels, brake discs, clutch plates, various motor parts, etc. In the first case, every manufacturer needs to produce parts, such as the standard prototype for the production line. Therefore, if the machinery of the production line is out of calibration for any reason, products will be made out of standard, which would mean a reduction in the quality or an increase in production costs. Therefore, online monitoring of production lines with the help of machine vision is important in reducing production costs. In the second case, recognition of the timely change in the working industrial parts can also prevent accidents. In other words, timely detection of failure can be effective in preventing accidents in addition to reducing costs. For example, the timely detection of a train wheel or train rail wear and its timely repair or replacement will prevent the occurrence of a rail accident, which is one of the applications of the proposed model. Since the results of this study are compared with those of industrial parts with standard samples, the results are sufficiently valid. The study was conducted by the authors and no organization was involved.

本文提出了工业信息集成框架下基于机器视觉图像处理的工业零部件变化识别模型，属于应用研究范畴。因此，本研究通过结合先前研究单独表达的组件来实现新的工业信息集成工程（IIIE）系统，以开发工业零件的检测并提高其人类视觉检测状态的质量和准确性，这是创新方面这项研究的。我们使用机器视觉来改善人类在裂缝、裂缝等物体的变化识别中的视觉……这一直是研究问题。因此，本研究旨在汇总其他研究人员确定的不同工具，用于不同部分的变化识别，因为人类视觉较弱，而目前的传感器等机械工具存在校准和准确维护和维修以及错误等几个问题。所提出的模型可用于两个领域，一是在线识别家庭制造的工业零件与生产线中的标准样品之间的差异，二是监测和控制运动轨道、火车车轮等工作工业零件的变化。 、刹车盘、离合器片、各种电机零件等。第一种情况，每个制造商都需要生产零件，例如生产线的标准样机。因此，如果生产线的机器因任何原因出现校准偏差，产品将不符合标准，这意味着质量下降或生产成本增加。所以，借助机器视觉对生产线进行在线监控对于降低生产成本非常重要。在第二种情况下，及时识别正在工作的工业部件也可以防止事故发生。换句话说，及时发现故障除了可以降低成本之外，还可以有效地预防事故。例如，及时发现火车车轮或火车轨道磨损并及时修复或更换，将防止轨道事故的发生，这是所提出模型的应用之一。由于本研究的结果与具有标准样品的工业零件的结果进行了比较，因此结果是充分有效的。该研究由作者进行，没有任何组织参与。认识到工作工业零件的及时变化也可以防止事故发生。换句话说，及时发现故障除了可以降低成本之外，还可以有效地预防事故。例如，及时发现火车车轮或火车轨道磨损并及时修复或更换，将防止轨道事故的发生，这是所提出模型的应用之一。由于本研究的结果与具有标准样品的工业零件的结果进行了比较，因此结果是充分有效的。该研究由作者进行，没有任何组织参与。认识到工作工业零件的及时变化也可以防止事故发生。换句话说，及时发现故障除了可以降低成本之外，还可以有效地预防事故。例如，及时发现火车车轮或火车轨道磨损并及时修复或更换，将防止轨道事故的发生，这是所提出模型的应用之一。由于本研究的结果与具有标准样品的工业零件的结果进行了比较，因此结果是充分有效的。该研究由作者进行，没有任何组织参与。及时发现火车车轮或火车轨道磨损并及时修复或更换，将防止发生轨道事故，这是所提出模型的应用之一。由于本研究的结果与具有标准样品的工业零件的结果进行了比较，因此结果是充分有效的。该研究由作者进行，没有任何组织参与。及时发现火车车轮或火车轨道磨损并及时修复或更换，将防止发生轨道事故，这是所提出模型的应用之一。由于本研究的结果与具有标准样品的工业零件的结果进行了比较，因此结果是充分有效的。该研究由作者进行，没有任何组织参与。