Automation of Hand-Powered Loom and Fault Detection using Raspberry Pi and Monitoring using IOT

Journal Title: Journal of Advanced Research in Embedded System - Year 2018, Vol 5, Issue 4

Abstract

In the present world, there are many standard appliances in industries and our homes that make our work easier. It is necessary to control these appliances remotely. To automate a machine, a secondary brain (another machine) is required to ‘Think’ and control machines to do tasks as per the convenience of the user from long distances. An automation system is proposed to control a Hand-Powered loom and detect fault using Raspberry Pi. A set of switches will be controlled by internet with the use of a Raspberry Pi board. A Raspberry pi board obtains user input from a website that is accessed through a user name and password. The customized user friendly website has several buttons to control the loom machine. A Raspberry Pi will be located in a room and will be connected to all electronic appliances in the industry. The Raspberry Pi can be controlled from any distant place with the help of weaved cloud service. Cayenne framework gives a platform to interact with Raspberry Pi’s General Purpose Input Output pins. The Raspberry Pi then either passes or stops current through an electromagnetic relay connected to the intended switch and this closes/opens the circuit allowing the machine to run or get switched off. Thus globally accessible automation of hand loom can be made possible with the use of a Raspberry Pi board, an internet connection and relay switches in a user friendly way.

Authors and Affiliations

Sundar Ganesh CS

Keywords

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  • EP ID EP541613
  • DOI -
  • Views 105
  • Downloads 0

How To Cite

Sundar Ganesh CS (2018). Automation of Hand-Powered Loom and Fault Detection using Raspberry Pi and Monitoring using IOT. Journal of Advanced Research in Embedded System, 5(4), 1-7. https://europub.co.uk/articles/-A-541613