Journal of information and communication convergence engineering

  • 제22권2호
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  • Pages.159-164
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  • 2024
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  • 2234-8255(pISSN)
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  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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Anomaly Detection System for Solar Power Distribution Panels utilizing Thermal Images

  • Kwang-Seong Shin (Department of Computer Engineering, Sunchon National University) ;
  • Jong-Chan Kim (Department of Computer Engineering, Sunchon National University) ;
  • Seong-Yoon Shin (School of Computer Science and Engineering, Kunsan National University)
  • 투고 : 2024.04.29
  • 심사 : 2024.05.11
  • 발행 : 2024.06.30
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초록

This study aimed to develop an advanced anomaly-detection system tailored for solar power distribution panels using thermal imaging cameras to ensure operational stability. It addresses the imperative shift toward digitalized safety management in electrical facilities, transcending the limitations of conventional empirical methodologies. Our proposed system leverages a faster R-CNN-based artificial intelligence model optimized through meticulous hyperparameter tuning to efficiently detect anomalies in distribution panels. Through comprehensive experimentation, we validated the efficacy of the system in accurately identifying anomalies, thereby propelling safety protocols forward during the fourth industrial revolution. This study signifies a significant stride toward fortifying the integrity and resilience of solar power distribution systems, which is pivotal for adapting to emerging technological paradigms and evolving safety standards in the energy sector. These findings offer valuable insights for enhancing the reliability and efficiency of safety management practices and fostering a safer and more sustainable energy landscape.

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참고문헌

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