Future 4.0 – Fourth Industrial Revolution

Authors

  • R. Arvind  Assistant Professor, Department of Electronics and Communication Engineering, Suguna College of Engineering, Coimbatore, Tamil Nadu, India
  • N. Vijayakumar  Assistant Professor, Department of Mechanical Engineering, Suguna College of Engineering, Tamil Nadu, India

Keywords:

Industry 4.0, Internet of Things, Business intelligence, Smart pumps.

Abstract

At some stage during the period of industrial digitalization, industries invest in tools and solutions that permit their equipment, processes, people to be incorporated into a distinct integrated set of connections for data compilation, facts investigation, the appraisal of business expansion, and performance enhancement. Industry 4.0 refers to the newest segment in the Industrial Revolution that focuses closely on interconnectivity, automation, machine learning, and real-time data. Industry 4.0, also sometimes referred to as IIoT or smart manufacturing, incorporates substantial invention and operations by way of smart digital technology and machine learning. Entire organization which is operating today is different, face a common challenge need for correctness. The main aim of our research is to determine, what Internet of Things (IoT) tools how they utilize their processes in the motors and pumps industry. Presently in its initial stage and foundation to take place in remote ways, its entirely associated and huge form remains a vision for the future. It is anticipated to be the transformative, back-to-back digitization of the manufacturing sector. In the visualization of Industry 4.0, a fully interoperable bionetwork of machines and partners will be realized across the supply chain and data will mutually update and correct the course of actions.

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Published

2021-10-30

Issue

Section

Research Articles

How to Cite

[1]
R. Arvind, N. Vijayakumar "Future 4.0 – Fourth Industrial Revolution" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 5, pp.213-219, September-October-2021.