IoT-Based Transformer Health and Location Monitoring System for ECG
IoT-Based Transformer Health and Location Monitoring System for ECG is a smart monitoring system that uses ESP32 to monitor transformer temperature, voltage, current, and oil level in real time. It uses GPS to track the transformer location, ThingSpeak for remote cloud monitoring, and SIM800L GSM to send SMS alerts when abnormal conditions are detected.
The IoT-Based Transformer Health and Location Monitoring System for ECG is a smart monitoring solution developed to provide real-time information about the operating condition and location of distribution transformers. The system uses an ESP32 to collect data from sensors monitoring temperature, voltage, current, and transformer oil level. The collected information is displayed locally on a 16×2 I2C LCD and uploaded to ThingSpeak through Wi-Fi for remote monitoring. A NEO-6M GPS provides the geographical location of the transformer, while a SIM800L GSM module sends SMS alerts when abnormal conditions are detected. This system can support faster fault identification, remote monitoring, and maintenance of distribution transformers.
Project Overview
IoT-Based Transformer Health and Location Monitoring System for ECG
The IoT-Based Transformer Health and Location Monitoring System for ECG is a smart monitoring system designed to continuously observe the operating condition and geographical location of electrical transformers.
The system uses an ESP32 microcontroller to collect information from different sensors, including temperature, voltage, current, and transformer oil-level sensors. The collected data is displayed on a 16×2 I2C LCD and transmitted to ThingSpeak through Wi-Fi for remote monitoring.
A NEO-6M GPS module provides the transformer’s location, while a SIM800L GSM module can send SMS notifications when abnormal operating conditions are detected. By combining sensor monitoring, cloud technology, GPS tracking, and GSM communication, the system provides a practical approach to transformer condition monitoring and maintenance.
How the System Works
The system continuously collects transformer operating data using sensors connected to the ESP32 microcontroller. The temperature sensor monitors heat levels, while the voltage and current sensors measure the electrical conditions of the transformer. An ultrasonic sensor measures the oil level inside the transformer tank.
The ESP32 processes the sensor readings and displays important information on the 16×2 I2C LCD. Through Wi-Fi, the readings are also uploaded to ThingSpeak, allowing the transformer condition to be monitored remotely.
The NEO-6M GPS module obtains the geographical coordinates of the transformer. When an abnormal condition is detected, the SIM800L GSM module can send an SMS alert to the responsible personnel. This provides information that can help maintenance personnel identify problems and locate the affected transformer.
System Flow
