Paper Details

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.