IOT based Diagnosing of Fault Detection in Power Line Transmission through GOOGLE Firebase database

Abstract

The issue happened in transmission line is without question risky for the territory. In HV and EHV transmission line there are less issue event however in region the deficiency event is more when contrasted with external transmission line. In our model we structure a model which is to be distinguish the shortcoming in transmission line by looking at the node MCU is connected to an transformer, if power is flowed through this than a subsequent signal will go to GOOGLE Firebase database, it is depend on the number of transformer and its corresponding node MCU, if all signal will go to GOOGLE database means power line is on ok condition but if some data signal gone through on database and some data does not go so whose data signal is not working so it will assume that node MCU is not working and every node MCU has a unique area code id. The data with respect to issue event specifically stage is send to page through IOT gadget which is NODE MCU(Esp8266) and furthermore appeared in show.. Here microcontroller NODE is utilized in this IC writing computer programs is done which think about the voltage signal furthermore, send yield to IOT module and show. The power supply is given to supply 3.3-volt dc capacity to all segment this stock is separate from the stock which is utilized to check the issue event.