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      정보통신기술(ICT) 기반 해상풍력발전소 현장 작업자 위치 추적 및 안전관리 시스템 개발 연구 = A Study on the development of Location Tracking and Safety Management system for the OFFshore Wind Power Plant Workers by Using ICT

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      https://www.riss.kr/link?id=T16836631

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This study delineates the development of a safety management system, leveraging Information and Communication Technology (ICT), specifically designed for workers at offshore wind power plants.
      In the current epoch, the global community is witnessing a paradigm shift towards carbon neutrality, with numerous nations and corporations establishing and striving towards net-zero targets. This shift necessitates a
      transition to sustainable energy systems, a critical task for the future of South Korea. Offshore wind power generation, in this context, emerges as a pivotal solution, offering environmental benefits as a renewable energy source and potential contributions to energy security and the establishment of
      sustainable energy systems.
      The principal objective of this research is the continuous enhancement of safety for workers operating in offshore wind power plants. To achieve this, we developed a location tracking and safety management system, incorporating a machine learning-based algorithm. This system utilizes sensor data to automatically identify human behavior, thereby enabling a more precise prediction of the behavior and status of offshore wind power plant workers. This predictive capability facilitates improved behavior pattern analysis and augments accident prevention rates.
      The findings of this research are anticipated to contribute significantly to the enhancement of safety in offshore wind power plants and bolster the advancement of sustainable energy generation.
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      This study delineates the development of a safety management system, leveraging Information and Communication Technology (ICT), specifically designed for workers at offshore wind power plants. In the current epoch, the global community is witnessing a...

      This study delineates the development of a safety management system, leveraging Information and Communication Technology (ICT), specifically designed for workers at offshore wind power plants.
      In the current epoch, the global community is witnessing a paradigm shift towards carbon neutrality, with numerous nations and corporations establishing and striving towards net-zero targets. This shift necessitates a
      transition to sustainable energy systems, a critical task for the future of South Korea. Offshore wind power generation, in this context, emerges as a pivotal solution, offering environmental benefits as a renewable energy source and potential contributions to energy security and the establishment of
      sustainable energy systems.
      The principal objective of this research is the continuous enhancement of safety for workers operating in offshore wind power plants. To achieve this, we developed a location tracking and safety management system, incorporating a machine learning-based algorithm. This system utilizes sensor data to automatically identify human behavior, thereby enabling a more precise prediction of the behavior and status of offshore wind power plant workers. This predictive capability facilitates improved behavior pattern analysis and augments accident prevention rates.
      The findings of this research are anticipated to contribute significantly to the enhancement of safety in offshore wind power plants and bolster the advancement of sustainable energy generation.

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      목차 (Table of Contents)

      • 제1장 서론 1
      • 1.1 연구배경 1
      • 1.2 연구내용 및 목적 3
      • 1.3 연구동향 3
      • 제2장 이론적 배경 4
      • 제1장 서론 1
      • 1.1 연구배경 1
      • 1.2 연구내용 및 목적 3
      • 1.3 연구동향 3
      • 제2장 이론적 배경 4
      • 2.1 해상 풍력발전소 개요 4
      • 2.2 해상 풍력발전소 위험 요소 4
      • 2.3 작업자 위치 측위 알고리즘 이론 7
      • 2.4 머신러닝 기반 인간 행동 인식(HAR)의 이론적 접근법 8
      • 제 3 장 사례 요인 분석 10
      • 3.1 사례 요인 10
      • 3.2 사례 분석 10
      • 제 4 장 연구개발 11
      • 4.1 해상 풍력 발전소 작업자 모니터링 기술 개발 11
      • 4.1.1 작업자 위치 측위 알고리즘 개발 11
      • 4.1.1.1 RSSI를 이용한 거리 추정 11
      • 4.1.1.2 토폴로지를 이용한 삼변 측량법 14
      • 4.1.1.3 RSSI 기반 최소 평균 제곱 오차(MSE) 알고리즘 18
      • 4.1.1.4 RRM(Robust Range Mapping) 알고리즘을 이용한 위치 측위 20
      • 4.1.2 머신러닝을 이용한 인간 행동 인식(HAR) 통한 현장작업자의 상태 확인 개발 25
      • 4.2 해상풍력 안전관리 시스템 개발 31
      • 제 5 장 결 론 36
      • 참고문헌 37
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