Dependable CNC Controller using Raspberry pi and Cloud Computing

Nashwa Mosaad Osman, K. Elshafey, Ahmed N. El-Mahdy
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引用次数: 1

Abstract

Numerically Controlled machines are widely used in many industrial applications. A CNC machine's essential element is the controller, and it is responsible for controlling and navigating the machine tools as well as implementing industrial processes. Despite the fact that numerous controllers have been invented and utilized in CNC applications in recent years, the vast majority of them have certain restrictions and drawbacks as a result of design methodologies. The goal of this article is to design and build a Fault detector and Diagnostic Automatic Controller (FDAC) to be used in CNC machines and is considerably improve the CNC machines performance. FDAC has a closed-loop control system that can automatically control and drive servo motors. FDAC will prevent losses of work pieces and damage of machine parts. FDAC could improve accuracy and reliability while enabling the rapid maintenance of industrial processes in a variety of CNC applications. FDAC records the alarm codes in real time on the cloud as well as their diagnostic history in order to build an accurate knowledge and reliability base system that does not depend on randomness or predictions. It also can be applied to traditional machines and is not expensive at all.
可靠的数控控制器使用树莓派和云计算
数控机床广泛应用于许多工业领域。数控机床的基本元件是控制器,它负责控制和导航机床以及实现工业过程。尽管近年来已经发明了许多控制器并在CNC应用中使用,但由于设计方法的原因,绝大多数控制器都有一定的限制和缺点。本文的目标是设计和构建一个用于数控机床的故障检测器和诊断自动控制器(FDAC),并大大提高数控机床的性能。FDAC具有闭环控制系统,可以自动控制和驱动伺服电机。FDAC将防止工件的损失和机器零件的损坏。FDAC可以提高精度和可靠性,同时在各种CNC应用中实现工业过程的快速维护。FDAC在云端实时记录报警代码及其诊断历史,以建立一个不依赖于随机性或预测的准确知识和可靠性基础系统。它也可以应用于传统的机器,而且一点也不贵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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