REVIEW ON POWER TRANSFORMER MONITORING AND NOTIFICATION SYSTEM USING IOT TECHNIQUE

The review of IoT-based power transformer monitoring systems demonstrates that continuous and intelligent monitoring is essential for improving transformer reliability, operational efficiency, and service life. Traditional inspection methods are often insufficient for detecting developing faults in real time, which can lead to unexpected failures, costly repairs, and power interruptions. The integration of IoT technology, cloud computing, and GSM communication provides an effective solution for real-time condition monitoring and predictive maintenance of power transformers. The proposed monitoring system continuously acquires critical transformer parameters such as temperature, oil level, voltage, current, humidity, gas leakage, load condition, fire detection status, and geographical location. These parameters are transmitted to a cloud platform for remote monitoring, data storage, and analysis. Furthermore, the GSM module enables instant notifications and alerts to maintenance personnel whenever abnormal operating conditions are detected, ensuring rapid response and fault mitigation. The incorporation of real-time location tracking further enhances asset management and security, especially for transformers installed in remote or inaccessible areas. By enabling continuous monitoring, early fault detection, and remote accessibility, the system contributes significantly to reducing maintenance costs, minimizing downtime, and enhancing power system reliability. Future developments may include the integration of artificial intelligence, machine learning algorithms, and predictive analytics for advanced fault diagnosis and transformer health assessment. Overall, IoT-enabled transformer monitoring systems represent a promising advancement toward the realization of smart grids, intelligent power networks, and efficient energy management systems.

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