@article{M8ECFA3FE,
title = "Development of IoT Based Power Facility Image Analysis and Diagnosis System",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.5.663",
author = "Myung-Hye Park, Young-Hyun Kim, Chang-Soo Eun",
keywords = "IoT, AI, OPGW, Image diagnosis, facility operation system",
abstract = "As part of power facility management, KEPCO visually checks images collected by drones and diagnoses facility conditions. In this paper, a model for diagnosing OPGW conditions, a major facility in the power ICT field, was proposed based on image data collected by drones, and a real-time operation system was designed.
The performance of the proposed diagnostic model was more than 95% accurate and improved by more than four times compared to visual inspections. In addition, the facility operating system, which was managed offline, improved the efficiency of operation management by collecting, storing, and diagnosing data in connection with the video infrastructure."
}