Proposed work On Study On The Intensive Care For Air Conditioner With Machine Learning Through IoT

Authors

  • Dr.S.Hemalatha Professor, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai - Tamilnadu
  • M.Maniyarasi Final Year, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai - Tamilnadu,
  • M.Rishika Final Year, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai - Tamilnadu
  • G.Kanaga Priya Final Year, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai - Tamilnadu

Keywords:

Internet of Things, machine learning, home automation

Abstract

This paper proposes a survey on intensive care for air conditioner to monitor faults. As world gets more
and more technologically advanced, which results many electronic application devices developed and use by the
people. We find new electronic devices coming in deeper and deeper into our personal lives. It leads to the
production of more and more electronic devices .This causes the devices needs to be maintained otherwise devices
can lead to damages. These electronic devices can be maintained by the specialist about device. The normal person
cannot able to predict and resume the operation of the electronic machine. But the entire situation, the specialist of
the device cannot be attempted in time. These reason leads replacement of new device. This proposed project will
give the solution to avoid the electronic devices failure and prevent the devices replacement. The Machine language
technique is adapted to this project to evaluate the device day by day status and monitoring, comparing with the
predefined machine parameter values. If the variation is find based on the estimated status with predefined status
then the machine need to be repaired before leads to fail .The proposed project estimate the variation and send
alarm to the invented company and the end user to alert to take decision before the machine fails. The project was
developed using Internet of Things incorporated with machine learning algorithm to communicate between devices
with company or user. The advantage of this work is to prevent the machine failure, increase the life time of the
machine and avoid wrong repair made by the specialist .It takes constant amount of time to monitor and detect the
faults so the concept of machine learning is used which involves the study of machines so that the faults can be
easily detected. This project demonstrates a simple home automated Air Conditioner System embedded with IoT
device that allows monitoring the faults periodically

Published

2018-03-25

How to Cite

Dr.S.Hemalatha, M.Maniyarasi, M.Rishika, & G.Kanaga Priya. (2018). Proposed work On Study On The Intensive Care For Air Conditioner With Machine Learning Through IoT. International Journal of Advance Research in Engineering, Science & Technology, 5(3), 375–382. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1221

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