IOT Based Induction Motor Health Surveillance System by Detecting Vibrations and Monitoring Temperature

Abstract

To extend the security, lifetime, and vitality effectiveness of engines, the energetic behavior of the turning shaft must be examined. Shaft vibrations must be checked amid operation in arrange to optimize rotor plan and certify engine execution. Moreover, the energetic behavior of the rotor must be assessed. Shaft vibrations must be measured amid operation in arrange to optimize rotor plan and approve numerical models. Be that as it may, measuring the shaft's vibration amplitude and recurrence may be a troublesome issue for metrology since the shaft turns and noncontact estimations are essential. To fathom this issue, we show a estimation framework comprising of vibration sensor SW-420 and NodeMCU ESP8266 must be mounted on engine.  These sensors simultaneously measure the vibrations produced as well as heat produced by motor. Temperature sensor DHT11 is also used to track the heat produced by the motor so that it would not exceed the range given for prolong usage of motor. The NodeMCU ESP8266 connects to a ThingSpeak server through Wi-Fi to transmit the values in real-time the server stores and displays the data on a graphical dashboard, allowing users to monitor vibration and temperature. The project demonstrates the feasibility of low-cost and efficient air quality monitoring using readily available hardware and software tools. The results of the experiments show that the developed motor surveillance can provide accurate and reliable measurements of various amplitude, frequency, celius, thus contributing to environmental sustainability and public health.