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Heavy Machinery Condition and Risk Monitoring System for Industrial Automation
Apoorv Kansal, Manan Gupta, Garima Setia,
Published in Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
2019
Volume: 8
   
Issue: 4
Pages: 8547 - 8550
Abstract
This paper provides the design, implementation and analysis of heavy machinery condition and risk monitoring system which makes the machines more durable and effective by decreasing the damage caused to it due to excessive heating and detecting the risk of machine breakdown beforehand by monitoring the machine parameters. A webpage is created which serves as a handy tool for the workers and the admin to continuously monitor the load on which machine is working, its current temperature its current temperature and other parameters. It also provides the user an option to run the machine in automatic mode in which the load on the machine is varied according to its current temperature and also provide a cooling mechanism which gets activated when the machine temperature goes beyond a particular point and works more effectively as the temperature of the machine increases.
About the journal
JournalInternational Journal of Recent Technology and Engineering Regular Issue
PublisherBlue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Open Access0