The proposed IoT-based distribution transformer situation monitoring system allows real-time monitoring of distribution transformers, figuring out such deviations as overload situations and overheating. Via IoT expertise, important operational knowledge is collected and displayed regionally on an LCD interface.
Moreover, this knowledge is transmitted remotely to cloud platforms like Adafruit.io for evaluation, permitting for proactive upkeep. The system’s structure incorporates sensors interfaced with a microcontroller, making certain seamless knowledge acquisition and transmission. This method empowers utilities to optimise energy distribution networks and improve operational reliability cost-effectively.
| Invoice of Supplies | |
| Parts | Amount |
| ESP32 board | 1 |
| Transformer | 1 |
| Present sensor ACS712 | 1 |
| Humidity and temperature sensor DHT11 | 1 |
| Ultrasonic sensor HC-SR04 | 1 |
| Wires and jumpers | As required |
| 16×2 LCD show module | 1 |
Within the system design, the ACS712 present sensor detects the transformer’s present and identifies overload situations, whereas the DHT humidity and temperature sensor displays the temperature of each the transformer and its environment. The ultrasonic sensor tracks the transformer’s oil stage.
The Adafruit IO dashboard allows knowledge monitoring on an IoT platform. The ESP32 board connects the system to a Wi-Fi community, sending knowledge to the IoT dashboard. The authors’ prototype is proven in Fig. 1, and the required elements are listed within the Invoice of Supplies desk.
Venture Stipulations: What You’ll Must Get Began
The Arduino IDE is used to write down the software program, and the ESP32 board should be put in on the IDE. Comply with the steps offered on the ESP web site so as to add the ESP32 to the Arduino IDE. After set up, the libraries for the DHT sensor, ACS712 present sensor, and LCD show should be added by way of the Arduino Library supervisor.
MQTT and Adafruit IO are employed to show the information on the IoT dashboard. Check in to an Adafruit IO account and create an API by following the steps outlined by Adafruit IO.
Code for Distribution Transformer Monitoring System
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