• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.5
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• pp.512-522
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• 2012

This study examined the work environment and wearing conditions of industrial protective clothing in shipbuilding workshops. It also investigated the relationship between the wearing sensation of industrial protective clothing and overall comfort, according to work process. In addition, the work posture according to work process was evaluated based on ergonomic factors. The wearing rate of industrial protective clothing was 73.3%, 66.7%, and 60.1% for workers engaged in welding, grinding, and painting, respectively. The harmful work environment factors, listed from most harmful to least harmful, were found to be high temperature pyrogens, noxious fumes, organic solvents, UV rays, and heavy dust. The aspect of wearing performance of industrial protective clothing that was most related to user dissatisfaction was poor sweat absorbency. In terms of the correlation between the overall comfort and the wearing sensation of industrial protective clothing, the satisfaction was low shown in orders of physiological comfort, sensual comfort, and movement comfort.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.5
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• pp.314-322
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• 2022

During the shipbuilding process, many blocks are moved between shipyard workshops by block carrying vehicles called a transporter. Because block logistics management is one of the essential factors in enhancing productivity, it is necessary to manage block information with the transporter that moves it. Currently, because a large amount of data per day are collected from sensors attached to blocks and transporters via IoT infrastructure installed in shipyards, automated methods are needed to analyze them. Therefore, in this study, we developed an algorithm that can automatically match the transporter and the working block based on the GPS sensor data. By comparing the distance between the transporter and the blocks calculated from the Haversine formula, the block is found which is moved by the transporter. In this process, since the time of the measured data of moving objects is different, the time standard for calculating the distance must be determined. The developed algorithm was verified using actual data provided by the shipyard, and the correct result was confirmed with the distance based on the moving time of the transporter.