IOT BASED TRANSFORMER PARAMETERS MONITORING SYSTEM

Abstract: Transformers play a major role in electrical power transmission and distribution systems. Continuous monitoring of transformer parameters is essential to ensure reliable operation and prevent unexpected failures. Traditional transformer monitoring methods mainly depend on manual inspection and periodic maintenance, which are time- consuming and less efficient. To overcome these limitations, an IoT Based Transformer Parameters Monitoring System is proposed.

The proposed system continuously monitors important transformer parameters such as temperature and oil level using suitable sensors. The sensor data is processed using the NodeMCU microcontroller and transmitted to the cloud platform through Wi-Fi communication. The system also includes a fault detection mechanism that identifies abnormal conditions such as overheating and low oil level. Whenever the monitored parameters exceed predefined threshold values, alerts are generated automatically.

The monitored data can be accessed remotely through the IoT platform, enabling real-time transformer monitoring from any location. The proposed system is simple, reliable, cost-effective, and easy to implement. It reduces manual maintenance effort, improves transformer safety, and enhances operational efficiency.

Keywords: IoT, Transformer Monitoring, NodeMCU, Temperature Sensor, Oil Level Monitoring, Fault Detection.