LINE FAULT DETECTION AND ALERT SYSTEM USING IOT
- Version
- Download 59
- File Size 387.90 KB
- File Count 1
- Create Date 9 June 2024
- Last Updated 9 June 2024
LINE FAULT DETECTION AND ALERT SYSTEM USING IOT
Dr.Anju S
Assistant Professor-Bachelor of Technology
Department of Electronics and Communication Engineering
St.Thomas Institute for Science and Technology,Trivandrum
Ameena S S,Arathy M,Gayathri s Babu Student-Bachelor of Technology
Department of Electronics and Communication Engineering
St.Thomas Institute for Science and Technology,Trivandrum
Abstract— This paper proposes an IOT based fault line detection and alert system designed to provide rapid response and precise localization of faults in electrical distribution systems. The system aims to enhance the efficiency of fault management, minimize downtime, and reduce accidents caused by electrical faults. The system utilizes sensors installed along the distribution lines to continuously monitor parameters such as voltage, current, and temperature. When a fault occurs, the sensors detect deviations from normal operating conditions and immediately trigger an alert .The alert is transmitted to the Kerala State Electricity Board (KSEB) in real-time, enabling swift notification of the fault occurrence. This ensures that KSEB personnel can promptly initiate the necessary actions to address the issue, minimizing downtime and restoring power supply to affected areas quickly. Furthermore, the system incorporates GPS technology to accurately pinpoint the location of the fault. This information is relayed to the line maintenance personnel, enabling them to precisely locate the faulted section of the distribution line without time-consuming manual inspection. By facilitating fast response times and accurate fault localization, the proposed system significantly reduces the risk of accidents and enhances overall safety. Additionally, the system's proactive approach to fault detection helps prevent potential equipment damage and costly repairs, leading to improved reliability and efficiency of the electrical distribution network
Download