Induction Motor Condition Monitoring and Controlling Based on IoT
Keywords:
induction motor, IoT, low cost, high powerAbstract
Technology has advanced significantly in recent years, making our lives easier, faster, and more enjoyable. This paper describes how to use the Internet of Things to control and monitor induction motors (IoT). Because it can be utilized from anywhere via Wi-Fi, the IoT is more convenient and efficient for controlling systems. The major goal of this intelligent system is to prevent induction motor failure by implementing preventative actions. Induction motors are used in a variety of applications such as electric vehicles, industries, and agriculture areas because of its many advantages such as self-starting, low cost, high power factor, and sturdy design. As a result, using the best available smart protection technique, it is vital to detect flaws in motors at an early stage in order to increase motor efficiency and ensure safe and reliable operation. The speed, voltage, current, temperature, vibration, humidity, and other electrical, mechanical, and environmental parameters of the induction motor can be monitored remotely because faults in these parameters cause severe damage to the motors and also cause problems for applications that use the induction motor. A collection of sensors for acquiring the motor parameters in real-time and a relay for controlling the motor are used in this system for monitoring and regulating Induction utilising IoT. The suggested system will use an IoT-based platform to gather and process induction motor parameters in real-time. The collected data is saved in the cloud and can be retrieved via a web page. Alerts will be sent out if any of the monitored parameters' threshold limitations are exceeded. The information from the sensors is received by the microcontroller unit, which processes the sensed data. If an aberrant value is detected, the automatic system generates a control signal to switch on or off the motor.
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Copyright (c) 2021 G. Mamatha, A. H. Thejaswi
This work is licensed under a Creative Commons Attribution 4.0 International License.