International Research Journal of Education and Technology

The abstract proposes the integration of robotic platforms and sensor arrays for the real-time monitoring and maintenance of electric power systems. The focus is on enhancing reliability, detecting incipient faults, and estimating the aging status of electrical insulation. The existing manual methods for fault detection and localization are criticized for their time consumption and lack of accuracy, leading to potential disruptions in power supply. The proposed system aims to automate the process by continuously updating the current values through transmission lines without human intervention. This data is monitored through cloud-based systems, enabling easy identification of fluctuations and prompt response to any issues. The system utilizes hardware components such as NodeMCU, motor drivers, and Bluetooth for efficient data collection and communication. Advantages include precise fault localization, classification of fault types, and streamlined repair processes. Overall, the proposed system offers a comprehensive solution for enhancing the reliability and efficiency of power system maintenance through the integration of robotics, sensing technologies, and cloud-based monitoring.