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종합 안전지수평가체계 수립을 위한 스마트디바이스 기반 HSE 모니터링 시스템에 관한 연구
함동균(Dong Kyun Ham),임현규(Hyun Kyu Lim),우종훈(Jong Hun Woo) (사)한국CDE학회 2015 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2015 No.동계
In general, the workspace of ship building is one of the most places accident happening. Furthermore, many companies are not willing to have HSE (Health, Safety, Environment) human resource enough to ensure safety. Therefore, this study was to utilize smart device for worker safety management to the workspace of Ship Building and Offshore Plant by considering ergonomic attribution. The purpose of this study is to secure the safety of workers by utilizing the sensors about motion, temperature, heart rate and decibel to cut down the accident rate by monitoring workplace constantly. And another purpose of this study is to establish CSI (Combined Safety Index) procedure through correlation analysis between worker’s data and accident data. Work’s data is analyzed by considering work process and workplace. Then, the relation between each factor and CSI is defined according to fore analysis.
종합 안전지수 평가체계 수립을 위한 스마트디바이스 기반 HSE 모니터링 시스템에 관한 연구
우종훈,임현규,윤경원,함동균,Woo, Jong-Hun,Lim, Hyun-Kyu,Youn, Kyung-Won,Ham, Dong-Kyun 해양환경안전학회 2015 해양환경안전학회지 Vol.21 No.4
본 연구에서는 조선소에서 작업자의 안전 확보를 위하여 스마트디바이스를 기반으로 동작, 체온, 외부온도, 맥박, 호흡, 청각적 기능을 탑재하였고, 이로부터 획득되는 정보들을 취합하여 서버 컴퓨터로 보내기 위한 클라이언트/서버 프로그램을 개발하였다. 또한, 작업자의 안전 상태를 진단할 수 있는 종합안전지수의 개념을 제시하였고 실제 선박에 탑승하여 센서모듈 및 스마트디바이스 테스트를 수행을 통해 획득된 데이터들에 대한 상관관계분석 및 다중 회귀분석을 통해 결과데이터와 센서 값 사이에 유의미한 상관관계를 가지고 있음을 확인하였다. In this paper, smartphone based measuring device was developed by integration of several sonsors such as moving, temperature, pulsation, respiration and hearing and sever/client programs was developed for the data acquisition and communication between smartphone and server computer. Then, the concept of CSI(combined safety index) was proposed for the comprehensive diagnositcs of workers status. For the validation of the proposed concept, the real data was acquired by boarding at training ship of korea maritime and ocean university. The acquired data was analyzed with the stochastical method of regressionn, then the meaningful result was driven that could explain the relation between the risky situation and the measured chronical data.