Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Connectivity Verification and Noise Reduction Analysis of Smart Safety Helmet for Shipyard Worker

조선소 작업자를 위한 스마트 안전모의 커넥티비티 검증 및 소음저감 분석

  • Park, Junhyeok (Department of Mechatronics Engineering, Graduate School, Kyungnam University) ;
  • Heo, Junyeoung (Department of Mechatronics Engineering, Graduate School, Kyungnam University) ;
  • Lee, Sangbok (OSLAB Co., Ltd.) ;
  • Park, Jaemun (OSLAB Co., Ltd.) ;
  • Park, Jun-Soo (Department of Naval Architecture and Ocean System Engineering, Kyungnam University) ;
  • Lee, Kwangkook (Department of Naval Architecture and Ocean System Engineering, Kyungnam University)
  • 박준혁 (경남대학교 대학원 메카트로닉스공학과) ;
  • 허준영 (경남대학교 대학원 메카트로닉스공학과) ;
  • 이상복 ((주)오에스랩) ;
  • 박재문 ((주)오에스랩) ;
  • 박준수 (경남대학교 조선해양시스템공학과) ;
  • 이광국 (경남대학교 조선해양시스템공학과)
  • Received : 2022.03.16
  • Accepted : 2022.03.26
  • Published : 2022.03.31
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Abstract

Currently, the automation and intelligence of the shipbuilding industry have improved its work production capacity and cost competitiveness, but the reduction rate of safety accidents among industrial site workers is still low and the damage caused by safety accidents is very serious, so there is a need for improvement according to the workplace. This research aims to demonstrate the connectivity between smart safety helmets in the demonstration area to verify the effectiveness along with the development of smart helmets for worker protection and environmental safety in shipyards. For efficient communication between workers, impact noise of over 95dB was confirmed in the workplace, and noise reduction was required. To solve this problem, the filtering performance was compared and analyzed using the Butterworth, Chebyshev, and elliptic algorithms. The connectivity test and noise reduction method between smart helmets proposed in this study will increase the usability and safety of the field through the development of advanced smart helmets tailored to the shipbuilding workplace in the future.

현재 조선산업 현장의 자동화, 지능화가 가능해져 작업 생산능력과 비용 경쟁력은 향상되었으나, 산업현장 작업자들의 안전사고 감소율은 여전히 저조한 편이며 안전사고로 인한 피해는 매우 심각하므로 현장에 맞게 개선의 필요성이 존재한다. 본 연구에서는 조선소의 작업자 보호 및 환경 안전을 위한 스마트 안전모의 개발과 함께 효용성을 검증하기 위해 실증 구역에서 스마트 안전모 간의 커넥티비티 실증을 목표로 한다. 또한, 작업자 보호 및 안전을 위해 스마트 안전모 착용자 간의 다대다 LTE 통신을 구현하고, 조선소 작업장에서 테스트한 결과를 분석하였다. 작업자 간의 원활한 통신을 위해 작업장에서 발생하는 95dB 이상의 충격 소음을 확인하였고, 이를 개선하기 위해 Butterworth, Chevbychev, elliptic 알고리즘으로 필터링 성능을 비교 분석하였다. 본 연구에서 제안한 스마트 안전모 간의 커넥티비티 테스트와 소음저감 방법은 향후 조선산업의 현장 맞춤형 스마트 안전모 고도화 개발로 활용성 및 현장의 안전성을 증대시켜줄 것이다.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부의 재원으로 과학기술일자리진흥원 '2021년도 성장동력 실증·기획 지원사업'의 지원을 받아 수행되었습니다.

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