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인공지능 기반 해상풍력발전소 작업자의 위치 추적 및 안전관리 시스템 개발 연구A Study on the Development of Location Tracking and Safety Management System for the Offshore wind Power Plant Workers by using AI

Other Titles
A Study on the Development of Location Tracking and Safety Management System for the Offshore wind Power Plant Workers by using AI
Authors
남현석이정훈
Issue Date
Apr-2024
Publisher
한국기계기술학회
Keywords
AI-based safety management; Machine learning algorithm for worker predictive analysis; 인공지능 기반의 안전관리; 머신러닝 알고리즘을 이용한 작업자 예측분석
Citation
한국기계기술학회지, v.26, no.2, pp 226 - 233
Pages
8
Indexed
KCI
Journal Title
한국기계기술학회지
Volume
26
Number
2
Start Page
226
End Page
233
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/70471
DOI
10.17958/ksmt.26.2.202404.226
ISSN
1229-604X
2508-3805
Abstract
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.
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