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http://dx.doi.org/10.23087/jkicsp.2022.23.1.005

Connectivity Verification and Noise Reduction Analysis of Smart Safety Helmet for Shipyard Worker  

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)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.23, no.1, 2022 , pp. 28-36 More about this Journal
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.
Keywords
Smart Safety Helmet; Shipyard Workplace; LTE Communication; Connectivity Verification; Noise Reduction;
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Times Cited By KSCI : 1  (Citation Analysis)
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