Full Automation of a Manual Inspection Unit for Industrial Borescopy

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Advances in Science and Technology-Research Journal Pub Date : 2023-10-02 DOI:10.4028/p-a8vf4e

Alberto Gil-Cuadrado, Alberto Martínez-Gutiérrez, Javier Díez-González, Paula Verde, Rubén Ferrero-Guillén, Hilde Perez

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Abstract

The digitization of processes in the context of Smart Manufacturing enables the control and monitoring of production processes. Visual inspection of parts is a process where the surface finish of machined parts is evaluated. For this purpose, manual inspection units have been traditionally used to evaluate the validity of the parts. This manual inspection process requires the operator to position the lens to obtain the images, which supposes an inefficient and non-repeatable process producing a considerable waste of production time. In order to design a more competitive process in the context of Smart Manufacturing, we fully automate in this paper an industrial borescopy unit by implementing closed-loop stepper motors, sensors, and microcontrollers. In addition, a web server has been programmed where operators monitor and upload ISO codes depending on the inspected part. This web server is connected to the microcontroller and the borescope positioning camera for automatic imaging. Therefore, the visual part inspection unit has been digitized and provided with connectivity and intelligence as the cyber physical system of the Smart Manufacturing.

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工业镗孔机人工检测装置的全自动化

在智能制造的背景下，过程的数字化使生产过程的控制和监控成为可能。零件目视检查是对加工零件的表面光洁度进行评估的过程。为此，传统上使用人工检验单元来评估零件的有效性。这种人工检测过程需要操作员定位镜头以获得图像，这是一个低效且不可重复的过程，产生了相当大的生产时间浪费。为了在智能制造的背景下设计一个更具竞争力的过程，我们在本文中通过实现闭环步进电机，传感器和微控制器完全自动化工业钻孔装置。此外，还编写了一个网络服务器，操作人员可以根据被检查的部件监控和上传ISO代码。该web服务器连接微控制器和内窥镜定位摄像头，实现自动成像。因此，作为智能制造的网络物理系统，视觉部件检测单元已被数字化，并具有连接性和智能性。

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