IOT-ENABLED REAL TIME MONITORING AND CONTROL OF INDUCTION MOTOR

Induction motors have become the most used motors in industrial applications in recent years. However, despite their high reliability, operating conditions can expose induction motors to various fault conditions. Implementing condition monitoring is crucial to prevent unexpected motor shutdowns and enhance the motor's productivity and lifespan. One effective approach to monitoring is leveraging the Internet of Things (IoT), which enables real-time data collection, data visualization through graphs, and the development of web services and connections. The objective of this research is to monitor real-time data and detect electrical faults in a three-phase induction motor. The monitored electrical parameters include voltage, current, and temperature. The system will identify faults such as overcurrent, overvoltage, undervoltage, undercurrent, and overtemperature. Once a fault is detected, the system will isolate the motor to prevent further damage. Additionally, the system will utilize the Internet of Things to measure and display electrical parameters, including voltage, current, and temperature, along with their corresponding graphs, through a mobile application. Data transmission between the system and the mobile application will occur between 7-8 a.m. and 9-10 p.m. The mobile application will access a history log, allowing users to review past data. Furthermore, the application will compile information about motor faults that occurred on specific days and times, which will be displayed in the error logs.