Real-Time Supervision of Manufacturing Plant using IoT
Sowmya N1, John Sahaya Rani Alex2, Sathiya Narayanan S3
1Sowmya N, M.Tech, Department of Embedded Systems, VIT, Vellore Institute of Technology, Vandalur Kelambakkam Chennai (Tamil Nadu) India.
2John Sahaya Rani Alex,Associate Professor, Department of Electronics Engineering,VIT, Vellore Institute of Technology, Vandalur Kelambakkam Chennai (Tamil Nadu) India.
3S. Sathiya Narayanan, Sr.Manager, Department of IoT, Industry Brakes India Private Limited,Padi Auto Parts Manufacturer in Chennai (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 307-310 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3507048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Downtime is a major threat to any manufacturing business. One of the most dreaded scenarios is that if one segment in manufacturing line backs up, it can have a snowball effect on the other segments waiting for the completion of prior tasks in order to produce a finished product. This research aims to reduce the amount of time for which the machine or the workers are in idle state. This is achieved by upgrading the manufacturing plant with an optimal method which tracks the manufacturing plant downtime in real time and the status of the plant is updated using Internet of Things technology. This research work is validated for Anti-lock Braking System (ABS) plant and the downtime reduction of the ABS plant is verified in real time through the cloud platform.
Keyword: Anti-lock Braking System (ABS), Industrial IoT (IIoT), Internet of Things (IoT), Manufacturing Plant.
Scope of the Article: IoT