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인공지능 기반 해상풍력발전소 작업자의 위치 추적 및 안전관리 시스템 개발 연구

원문정보

A Study on the Development of Location Tracking and Safety Management System for the Offshore wind Power Plant Workers by using AI

남현석, 이정훈

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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

ABSTRACT
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

저자정보

  • 남현석 Hyun-Suk Nam . Member, Researcher, Korea South-East Power Co. Jinju, Korea
  • 이정훈 Jung-Hoon Lee. Member, Professor, Dept. of Control & Robotics Engineering, Gyeongsang National University

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