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Real-Time System Monitoring and Control of Automation Industry Using IoT-Based Cloud Platform

机译:基于IOT的云平台的自动化行业实时系统监控与控制

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Industrial manufacturing involves large calibrations of data and process. Security, optimal response time, and control are major constraints while describing a process in industry. Various technologies were in research to enhance the functional capabilities for better responses. IoRT is one such promising technology to provide a better solution in most advanced way. The architectural design of communication through IoT is one of the open challenges facing, and there is a futuristic viability in achieving a solution for such issues. This paper depicts an approach, implementation of a conveyor model of a simple assembly line to separate metal from nonmetal using a Python-controlled 2-axis robotic arm. The entire process can be monitored using a Web server, designed for real-time process application.
机译:工业制造涉及的数据和过程的大校准。安全性,最佳响应时间和控制是在描述行业过程的同时主要限制。各种技术在研究中,以提高功能性能力以获得更好的反应。 IORT是一个如此有希望的技术,以便以最先进的方式提供更好的解决方案。通过物联网的沟通架构设计是面临的开放挑战之一,在实现此类问题的解决方案方面存在未来的可行性。本文描绘了一种方法,实现简单装配线的输送机模型,以使用Python控制的2轴机器人机器人从非金属分离金属。可以使用Web服务器监控整个过程,专为实时过程应用程序而设计。

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