Transformer Overheat Overload Protection and Oil Monitoring System Using IoT

The emerging Machine-to-Machine (M2M) communication, or as commonly referred to, the Internet of Things (IoT), offers the potential for devices to communicate information independently over the Internet. The current study aims at the design and development of a real time monitoring system and fault detection system in transformers. This program logs critical measurements such as the oil temperature of transformers, ambient temperatures, and voltage and current levels. While manual monitoring has been deemed necessary previously, this software alleviates the need and improves accuracy, reliability, and overall system effectiveness. Equipment parameters such as voltage, current (with special attention to overvoltage, undervoltage, and overcurrent), and temperature are monitored by devices. The readings are sent to a microcontroller, which compares the parameter limits and, consequently, sends the data to an IoT web server on the Adafruit platform through a Wi-Fi module. This provides operators with real-time access to precise information, thereby enabling them to make sound decisions and avoid disastrous failures.