使用移动网络物理系统的工业自动化

Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 1900-01-01 DOI:10.4018/978-1-7998-8161-2.ch008

T. M., Abhijith V. S., S. S.

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引用次数: 0

摘要

近年来，对高质量产品和服务需求的增加以及可以集成具有高计算能力的控制机制的系统导致了网络物理系统(CPS)的发展。由于持续的COVID-19大流行，一些行业仍然关闭，造成了一些经济损失。在这种情况下，自动化可以帮助保持行业的正常运行，从而可以使用语音远程监控和控制系统。本章讨论了工业自动化和信息物理系统在汽车工业、制造业、建筑业等不同行业中的集成。在语音的帮助下，使用CPS、深度学习和工业自动化进行机器处理的建议方法。所提出的方法为CPS在该领域的应用以及CPS与深度学习的结合提供了更大的见解。

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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Industrial Automation Using Mobile Cyber Physical Systems

In recent years, the rise in the demand for quality products and services along with systems that could integrate the control mechanisms with high computational capabilities led to the evolution of cyber-physical systems (CPS). Due to the ongoing COVID-19 pandemic, several industries have remained closed, causing several monetary losses. Automation can help in such scenarios to keep the industries up and running in a way that the system could be monitored and controlled remotely using voice. The chapter deals with the integration of both industrial automation and cyber-physical systems in various industries like the automobile industry, manufacturing industries, construction industries, and so on. A proposed approach for machine handling using CPS, deep learning, and industrial automation with the help of voice. The proposed approach provides greater insights into the application of CPS in the area and the combination of CPS and deep learning to a greater extent.

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Advances in Systems Analysis, Software Engineering, and High Performance Computing

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