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Distribution transformers represent critical nodes in the electrical power grid, and their unplanned failure causes extended outages and costly emergency repairs. This IoT-enabled condition monitoring system instrument's the transformer with a multi-parameter sensor suite: DS18B20 digital temperature probes embedded in winding and oil compartments, an ACS712 Hall-effect current transducer for load tracking, and an HC-SR04 ultrasonic rangefinder for dielectric oil level measurement. An ESP8266 microcontroller aggregates these signals, formats them into JSON payloads, and publishes them to a cloud-based supervisory platform via MQTT. The dashboard renders real-time trends of key health indicators, generates alarms when winding temperature exceeds nameplate ratings or oil level drops below critical, and archives historical data for predictive maintenance analytics.
| Components | Hexkart | Flipkart |
|---|---|---|
| Arduino Mega | Buy Now | Buy Now |
| DS18B20 Temperature Sensor | Buy Now | Buy Now |
| ACS712 Current Sensor | Buy Now | Buy Now |
| ESP8266 | Buy Now | Buy Now |
| HC-SR04 Ultrasonic Sensor | Buy Now | Buy Now |
The Arduino Mega 2560 is a microcontroller board based on the ATmega2560. It has 54 digital input/output pins (of which 15 can be used as PWM outputs), 16 analog inputs, 4 UARTs, a 16 MHz crystal oscillator, a USB connection, a power jack, an ICSP header, and a reset button. It contains everything needed to support the microcontroller. This is the ideal board for projects requiring multiple sensor inputs and communication modules simultaneously.
The DS18B20 is a digital temperature sensor that provides 9-bit to 12-bit Celsius temperature measurements. It communicates over a 1-Wire bus that requires only one data line for communication with a central microprocessor. Each DS18B20 has a unique 64-bit serial code, allowing multiple sensors to function on the same 1-Wire bus. It can measure temperatures from -55°C to +125°C with ±0.5°C accuracy. This makes it ideal for monitoring transformer winding and oil temperatures.
The ESP8266 WiFi module is a self-contained SOC with integrated TCP/IP protocol stack that can give any microcontroller access to a WiFi network. It is capable of either hosting an application or offloading all WiFi networking functions from another application processor. The ESP8266 supports APSD for VoIP applications and Bluetooth co-existence interfaces, and contains a self-calibrated RF allowing it to work under all operating conditions without external RF parts.

The transformer health monitoring system works by continuously measuring key parameters of distribution transformers. DS18B20 sensors attached to the transformer windings and oil tank measure temperatures. The ACS712 current sensor measures load current on the secondary side. An HC-SR04 ultrasonic sensor monitors the oil level inside the conservator tank. All sensor data is collected by the Arduino Mega which processes and transmits it via ESP8266 WiFi module to a cloud IoT platform such as ThingSpeak or Blynk. The cloud dashboard displays real-time gauges and historical charts. When any parameter exceeds preset thresholds, the system triggers email and SMS alerts to the maintenance team. This enables predictive maintenance, reducing transformer failures and unplanned outages.
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Thiruvananthapuram, Kerala 695012
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