IOT BASED TRANSFORMER HEALTH MONITORING SYSTEM USING NODE-MCU

IOT BASED TRANSFORMER HEALTH MONITORING SYSTEM USING NODE-MCU

S.S.Sable1, P.S.Burande2, Aniket N3, Omkar B4,

Sourabh J5,Vishal W6.

DY Patil Institute of Engineering And Technology

Abstract - In this paper, we propose an IoT-based system

for transformer health monitoring using Node-MCU, a low-cost Wi-Fi enabled microcontroller. The system utilizes sensors to monitor various parameters such as temperature, oil level, leakage current, fire detection in the transformer. These parameters are crucial in determining the health of a transformer and predicting any potential faults or failures.

The data collected by the sensors is transmitted to the Node- MCU, which is connected to the internet via Wi-Fi. The Node- MCU then sends the data to a cloud server for further analysis and visualization. The cloud server utilizes machine learning algorithms to analyze the data and predict any potential faults or failures in the transformer.

The proposed system offers several advantages over raditional methods of transformer health monitoring. Firstly, it is cost- effective as it utilizes low-cost sensors and Secondly, it is highly accurate and reliable as it continuously monitors the transformer parameters in real-time. Thirdly, it offers remote monitoring capabilities, allowing operators to monitor the transformer from a remote location.

Keywords — IoT, Transformer Health Monitoring, Node-MCU, Sensors, Cloud Server.