
Heavy Machinery Condition and Risk Monitoring System for Industrial Automation
Author(s) -
Ankush Kansal,
Manan Gupta,
Garima Setia,
Mohan Prasath Mani,
Dr.Mohan Jagannath
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d4286.118419
Subject(s) - automation , machine design , mechanism (biology) , computer science , machine tool , current (fluid) , point (geometry) , automotive engineering , reliability engineering , mode (computer interface) , engineering , mechanical engineering , electrical engineering , operating system , philosophy , geometry , mathematics , epistemology
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.