Journal of the Korean Society of Industry Convergence (한국산업융합학회 논문집)

The Korean Society of Industry Convergence (한국산업융합학회)
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Development of Underground Hydrogen Pipeline Monitoring Algorithm based on Optical Fiber Sensing: Case Study on DAS, DTS Sensing

광섬유 기반 지하매설 수소배관망 이상상태 탐지 알고리즘 개발: DAS, DTS 센싱 데이터를 중심으로

  • Jae-Woo Park (Construction Policy Institute, Korea Institute of Civil Engineering and Building Technology) ;
  • Dong-Jun Yeom (Construction Policy Institute, Korea Institute of Civil Engineering and Building Technology)
  • 박재우 (한국건설기술연구원, 건설정책연구소) ;
  • 염동준 (한국건설기술연구원, 건설정책연구소)
  • Received : 2024.08.21
  • Accepted : 2024.09.30
  • Published : 2024.10.31
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Abstract

This study developed an anomaly detection algorithm for underground hydrogen pipelines using Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS) technologies. The LSTM-AE-based algorithm was tested in a real-world testbed, showing high performance in detecting third-party construction activities and gas leaks. The model achieved 99.86% accuracy, 100% precision, 99.74% recall, and a 99.87% F1 score for DAS data, and 99.95% accuracy, 100% precision, 95.24% recall, and a 97.44% F1 score for DTS data. These results demonstrate the algorithm's effectiveness in real-time monitoring and its potential to enhance the safety of hydrogen pipeline infrastructure. Future research will focus on optimizing the algorithm for broader applications.

Keywords

Acknowledgement

본 연구는 한국에너지기술평가원 신재생에너지 핵심기술개발사업(과제번호: 20213030040380)에 의해 수행되었습니다.

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