TY  - JOUR
T1  - Development of IoT Based Power Facility Image Analysis and Diagnosis System
AU  - Park, Myung-Hye 
AU  - Kim, Young-Hyun 
AU  - Eun, Chang-Soo 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.5.663
KW  - IoT
KW  - AI
KW  - OPGW
KW  - Image diagnosis
KW  - facility operation system
AB  - 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.