Transformer 4.0 - A Smart Transformer for a Smarter Living

Traditional transformers are not equipped with sophisticated monitoring and control features, which limits their ability to operate and maintain efficiently. The suggested system, which can be adapted to the current Distribution transformers in India, has been developed for 2% of the estimated cost of the newer Smart Transformers on the market, which cost a staggering 10 lakhs. This project focuses on turning ordinary transformers into smart devices by integrating the Raspberry Pi 4B, the Arduino Mega 2560, and Heltec ESP32, which includes Wifi, LoRa, and Bluetooth in addition to an OLED panel that provides additional functionality to the task. The three boards are primarily separated into three distinct subsystems, with the Raspberry Pi serving as the primary computer and the other two separate boards / subsystems serving as backup devices in case of unanticipated events. several sensors, including the DHT 11, GPS, Accelerometer for detecting tremors and accidents, the BMP280 for altitude and pressure sensing within the oil chamber, the HCSR04 for monitoring the oil level, and the Camera Module for transmitting data over the internet. The database is managed by an active DBMS that has been combined with an RFID scanner and a biometric fingerprint sensor for security reasons. Wi- Fi and LoRa protocols have been used to allow for distant communication while keeping the system operational round-the-clock. On the Raspberry Pi, a clever method of transmitting Push notifications to all devices, including Smart phones, PCs, tablets, and different Smart devices, has been implemented in order to save costs and eliminate GSM maintenance. For offline data logging, a USB device has been programmed to capture the data on a Raspberry Pi that serves as a “Blackbox,” and an SD card using SPI communication interfaced with an Arduino MEGA is very effective to understand the working statistics of the Smart Transformer. Additionally, by using a GPS module, it aids in the identification of power theft and transmits the information to local authorities. Last but not least, this job makes use of cutting-edge boards for highly effective, power-efficient, accurate, and dependable working. Cloud services from ThingSpeak and Adafruit have been enabled with certificates that have been encrypted and decoded, as well as the use of the 8883 TCP port for safe Client communication on the MQTT protocol. With better maintenance procedures and less downtime, this makes it possible to proactively identify probable problems and abnormalities.