Smart monitoring system design for voltage transformers using (Iot) and AI

Abstract

In order to broaden its operational efficiency and decrease unplanned failures that could compromise the continuity of electrical grids, this project intends develop and design a smart system for monitoring electrical transformers using Internet of Things (IoT) and artificial intelligence (AI) technologies. The main operational parameters of the electrical transformer, including temperature, humidity, voltage, current, oil level, and vibration, are measured by a set of sensors as part of the project concept. A microcontroller gathers and transmits this data in real time to a cloud platform, where it is stored, analysed, and displayed via an interactive control panel. The practical part of this job entailed constructing and programming the proposed system and merging all of its parts after researching the types and components of electrical transformers as well as their basic laws and circuits. Additionally, artificial intelligence methods were used to evaluate data and anticipate possible problems before they arise, enabling early intervention. The findings proved that the suggested method offers precise and efficient electrical transformer monitoring, lowers maintenance costs, increases the effectiveness of the monitoring and protection systems, and helps to improve the dependability of electrical