Development of IoT Based Power Facility Image Analysis and Diagnosis System 


Vol. 49,  No. 5, pp. 663-670, May  2024
10.7840/kics.2024.49.5.663


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  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.

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[IEEE Style]

M. Park, Y. Kim, C. Eun, "Development of IoT Based Power Facility Image Analysis and Diagnosis System," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 5, pp. 663-670, 2024. DOI: 10.7840/kics.2024.49.5.663.

[ACM Style]

Myung-Hye Park, Young-Hyun Kim, and Chang-Soo Eun. 2024. Development of IoT Based Power Facility Image Analysis and Diagnosis System. The Journal of Korean Institute of Communications and Information Sciences, 49, 5, (2024), 663-670. DOI: 10.7840/kics.2024.49.5.663.

[KICS Style]

Myung-Hye Park, Young-Hyun Kim, Chang-Soo Eun, "Development of IoT Based Power Facility Image Analysis and Diagnosis System," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 5, pp. 663-670, 5. 2024. (https://doi.org/10.7840/kics.2024.49.5.663)
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eISSN : 2287 - 3880