Unmanned Substation Observation and Warning System Vehicle
  • Author(s): Alchrist Anthony ; Ayush Kumavat
  • Paper ID: 1708311
  • Page: 229-232
  • Published Date: 08-05-2025
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 8 Issue 11 May-2025
Abstract

In substations, continuous monitoring of equipment is crucial to ensure operational efficiency and prevent failures due to overheating, environmental conditions, or internal malfunctions. Traditional substation protection systems address basic faults such as short circuits, over current, and lightning surges. However, these systems may not adequately detect and diagnose issues like localized overheating, which can develop into significant problems over time. To enhance substation safety and operational reliability, the Unmanned Substation Observation and Warning System Vehicle (USOWV) is proposed. This system provides real-time remote monitoring of substation equipment, facilitating early detection of potential faults such as overheating or internal failures before they escalate into critical issues. By utilizing advanced image and video capture technologies, the system continuously monitors the equipment's thermal and operational status without interrupting the substation's normal operations. The USOWV system integrates with existing substation infrastructure, employing sensors and cameras to capture real-time data on equipment condition. This data is transmitted to a central monitoring station, where it is analyzed to identify any anomalies or fault conditions. In the event of critical issues, such as excessive heat or fire, the system triggers alerts, enabling timely intervention while maintaining a safe operational environment.

Citations

IRE Journals:
Alchrist Anthony , Ayush Kumavat "Unmanned Substation Observation and Warning System Vehicle" Iconic Research And Engineering Journals Volume 8 Issue 11 2025 Page 229-232

IEEE:
Alchrist Anthony , Ayush Kumavat "Unmanned Substation Observation and Warning System Vehicle" Iconic Research And Engineering Journals, 8(11)