DOI QR코드

DOI QR Code

조선소 내 스마트 안전모에 적용한 다대다 통신 소음 저감에 관한 연구

A Study on Noise Reduction in Many-to-Many Communication Applying to Smart Helmets in the Shipyard

  • 박준혁 (경남대학교 대학원 메카트로닉스공학과 조선해양시스템전공) ;
  • 박준수 (경남대학교 조선해양시스템공학과)
  • Junhyeok Park (Major of Naval Architecture and Ocean System Engineering, Department of Mechatronics Engineering, Graduate School, Kyungnam University) ;
  • Jun Soo Park (Department of Naval Architecture and Ocean System Engineering, Kyungnam University)
  • 투고 : 2022.12.15
  • 심사 : 2023.01.30
  • 발행 : 2023.02.20

초록

This paper implements many-to-many communication between users and develops a multi-functional smart helmet for worker protection and environmental safety in the shipbuilding and shipping industry. First, the communication situation is recorded in the field to perform signal processing for noise that interferes with communication. Then, it deals with the contents of developing smart helmets, data acquisition, algorithms, and simulations. The simulation results analyzed by applying the adaptive algorithm are shown, and their usefulness is confirmed. In conclusion, looking at the optimization process for the convergence factor of the Least Mean Square and Filtered-x Least Mean Square Adaptation Algorithm was possible. It is thought that it has laid the foundation for implementing many-to-many communication, the function of smart helmets that reduces or removes various noises at the shipyard in the future.

키워드

과제정보

본 연구는 과학기술정보통신부의 재원으로 과학기술일자리진흥원 '2022년도 성장동력 실증 · 기획 지원 사업'의 지원을 받아 수행되었습니다. 아울러 대우조선해양 산업기술연구소의 야드 테스트 지원에 감사를 드립니다.

참고문헌

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