IOT Based Transformer Health Monitoring

Description

INTRODUCTION

Transformer is the important electrical equipment that is used in power system. By monitoring transformer we can prevent faults before they occur. Faults are costly to repair and result in a loss of electricity. The main aim of using Internet of Things in transformer health monitoring is to acquire real-time data of transformer remotely over the internet and also to reduce the human efforts and resources along with the enhancement of a smart grid vision. For this real-time aspect, we take real time data of the transformer by using different sensors and then send them to a monitoring node. These sensors are interfaced with microcontroller-based system having wireless systems along with central system showing status of transformer. Hence, the transformer health status will be updated. IoT-based solution offers a range of advantages, By employing multiple sensors like vibration, temperature, voltage, oil, as well as sensors for a DC motor and fan, this system enables comprehensive monitoring and analysis of a transformer’s health. The key advantage lies in its ability to provide real-time monitoring, allowing for immediate detection of faults or abnormalities. This timely information enables prompt actions to be taken, preventing potential transformer failures or costly downtime. Additionally, the system conveniently displays the data on an LCD display, facilitating easy visualization and interpretation of the transformer’s health status. Ultimately, this advanced monitoring system enhances overall transformer reliability and efficiency, reducing maintenance costs and improving operational productivity.

BLOCK DIAGRAM

HARDWARE COMPONENTS

• ARDUINO (MICRO CONTROLLER)
• TRANSFORMER
• 5V VOLTAGE REGULATOR
• OIL LEVER SENSOR (via ULTRASONIC SENSOR)
• VOLTAGE METER
• VIBRATION SENSOR
• CURRENT SENSOR
• TEMPERATURE SENSOR
• DC FAN
• DC MOTOR
• ESP8266 WIFI MODULE
• 3.3V POWER SUPPLY
• LCD DISPLAY
• POWER HUB
• JUMPER WIRES

SOFTWARE USED

• ARDUINO IDE
• EMBEDDED C

METHODOLOGY

The system operates by bringing together many analog and digital sensors with the Arduino microcontroller. Every sensor gathers information on a particular parameter of transformer wellness: the temperature sensor monitors overheating, the oil level sensor perceives a decrease in insulating oil, the voltage meter and current sensor monitor electrical performance, and the vibration sensor detects abnormal mechanical activity. The Arduino analyzes all the sensor readings and cross-checks them with set safe threshold levels. When any parameter goes beyond the critical mark, the system generates alerts, and in certain instances, it has the ability to automatically switch on a DC fan to activate cooling. At the same time, the ESP8266 Wi-Fi module sends the sensor readings to a far-end server or cloud interface, where the readings can be accessed in real time via smartphone or computer. This supports remote diagnostics and trend analysis to enable predictive maintenance. A local LCD display also offers real-time feedback for on-site technicians. The whole installation is powered through a mix of regulated power supplies and is connected using jumper wires for data as well as power transfer assurance. The approach guarantees on-site as well as remote monitoring features, making it very useful for contemporary smart grid applications.

KEYWORDS

IoT based transformer monitoring system, transformer health monitoring using Arduino, real-time transformer monitoring project, smart transformer monitoring IoT, ESP8266 transformer monitoring, transformer oil level sensor project, Arduino electrical project, predictive maintenance transformer system, transformer fault detection IoT, wireless transformer data logging, transformer temperature monitoring system, transformer vibration sensor project, DIY transformer health monitoring, Arduino IoT project for students