IoT Based On Transformer Health Monitoring System

Power transfer from one place to another is often accomplished via the use of overhead transmission lines. An important problem with this service is that it often fails. In order to recover from a failure, the source of the problem must be located. Defect identification still requires human intervention, but with the help of technology, we can do it more efficiently and with less waste. The purpose of this project is to identify power transmission failures and to suggest solutions for transmission line faults. These days, a large portion of power system disruptions (85–87 percent) happen in transmission lines, making transmission line protection a critical issue. Identifying the cause of a defect is a time-consuming process; thus, rapid fault detection is necessary to safeguard equipment before it suffers serious harm. Reducing the frequency of faults and the duration of power outages is possible with precise fault conditions, which allow service men to eliminate persistent problems and pinpoint their locations. In this project, we will use an Arduino ATMEGA 328 controller to monitor the transmission line for various faults such as line-to-ground (L-G) faults, fire, voltage and temperature issues, and short circuits (L-L, L-L-G, L-G, etc.). We will then transmit this data to a control center via GSM. We detect transmission line short circuits with one another and the ground in this suggested thesis. The controller can detect the presence of fire, excessive voltage, and temperature via the fire sensor (IR Receiver), voltage sensor (DHT 11), and temperature sensor (DHT 12).