원문정보
초록
영어
In response to the global transition towards carbon neutrality, there's an increasing emphasis on sustainable energy solutions, with offshore wind power playing a crucial role, especially in South Korea. This study presents an AI-based safety management system specifically designed for offshore wind operators. At the heart of this system is a machine learning algorithm that processes sensor data to automatically recognize human behavior and improve the accuracy of predicting worker actions and conditions. Such predictive analytics not only refines the analysis of behavioral patterns, but also increases the effectiveness of accident prevention. The results of this research are expected to significantly improve safety measures in offshore wind facilities and further sustainable energy initiatives.
목차
1. 서론
2. 해상 풍력발전소의 위험요소
3. AI 기반의 작업자 상태 모니터링
3.1 머신러닝을 이용한 RSSI 기반의 라디오맵 위치측위 알고리즘
3.2 머신러닝 기반의 인간 행동 인식을 통한 현장작업자의 상태확인
3.3 인간 행동 인식을 통한 현장작업자의 상태 확인 학습 방법
3.4 해상 풍력 발전소 통합 안전 관리 시스템 개발
4. 결론
References