DESIGN AND IMPLEMENTATION OF REAL-TIME TRANSFORMER HEALTH MONITORING SYSTEM USING RASPBERRY-PI

Abstract

Transformers are one of the most important equipment in power network. As a large number of
transformers are distributed over a wide area in present electric systems, it’s difficult to monitor the condition manually
of every single transformer. So automatic data acquisition and transformer condition monitoring has been an important
issue. This project presents the design and implementation of a mobile embedded system to monitor load currents, over
voltage and temperature. The implementation of online monitoring system integrates internet of things (IOT) Modem,
with single chip Raspberry-pi and sensors. It is installed at the distribution transformer site. The output values of sensors
are processed and recorded in the system memory. System programmed with some predefined instructions to check
abnormal conditions. If there is any abnormality on the system, the IOT module will send SMS (Short Message Service)
messages to designated mobile telephones containing information about the abnormality according to the predefined
instructions. This mobile system will help the utilities to optimally utilize transformers and identify problems before any
catastrophic failure occurs. This system will be an advanced step to the automation by diminishing human dependency.
Thus THMS offers a more improved transformer monitoring.