선박은 크고, 복잡한 구조로 되어 있기 때문에 다른 작업자의 위치를 알아내기 어려우며, 특히 작업자가 쓰러진 경우에는 발견하기가 쉽지 않아 신속한 대처가 어렵다. 그리하여, 신체에 디바이스를 부착하는 방법이나 카메라를 이용하여 쓰러짐을 검출하기 위한 연구가 진행되고 있다. 기존의 영상기반 쓰러짐 검출은 사람의 신체부위를 검출하여 쓰러짐을 판단하였으나, 조선소에서는 다양한 복장과 자세로 작업으로 인해 검출하기가 어렵다. 본 논문에서는 쓰러짐 영역 전체를 추출하여 딥러닝 학습으로 선박 작업자의 쓰러짐을 이미지 기반으로 검출하였다. 학습에 필요한 데이터는 조선소의 건조중인 선박에서 쓰러진 모습을 연출하여 획득하였으며, 이미지를 좌우대칭, 크기조절, 회전하여 학습 데이터의 수를 증가하였다. 성능평가는 정밀도, 재현율, 정확도 그리고 오차율로 평가하였으며, 데이터의 수가 많을수록 정밀도가 향상되었다. 다양한 데이터를 보강하면 카메라를 이용한 쓰러짐 검출 모델의 실효성이 향상됨으 로서 안전 분야에 기여할 수 있을 것으로 사료된다.

The Chosun Dynasty established and implemented measures to prevent Japanese invasion into the southern coast. To this end, the number of naval vessels and the number of ships were increased, and a shipyard(船所) was constructed to protect the safety of the vessels. The shipyard is a port facility where military vessels are anchored and repaired, as well as public facilities that are needed for military training on public and land, as well as facilities for storing supplies and equipment needed for ships on land and defense at the port entrance. Despite being such an important facility for national defense, Shipyard has not been noticed. Studies have shown that the position of shipyard is divided into the riverside type and the riverbank type, which is due to the topographical features of Korea. The repair cycle of naval vessels, the carrying out of Yeonhun(prevent the water from decaying the part of the ship, a raw tree was burned to smoke) and the place of sea training also affected the construction of the Gul River(掘江). The space structure of shipyard is divided into port entry facilities for monitoring and controlling at the entrance to the harbor, border facilities for folding and repairing military vessels, and land facilities for holding land exercises and administrative work of military vessels and military equipment.

In order to evaluate the pollution of heavy metals in offshore surface sediments around shipyards in Korea, surface sediment samples were collected at eleven stations around four major shipyards located in the southeastern coast of Korea in summer 2010 and nine kinds of heavy metals such as copper(Cu), zinc(Zn), cadmium(Cd), lead(Pb), chrome(Cr), arsenic(As), mercury(Hg), iron(Fe) and aluminum(Al) in sediments were analyzed. The concentrations of Cu at all sampling stations were in the range of 47.10 ~ 414.96 mg/kg and exceeded TEL(Threshold Effects Level) 20.6 mg-Cu/kg of Korean marine environmental standards for offshore sediments and ERL(Effect Range-Low) 34.0 mg-Cu/kg . The concentrations of Cu at seven stations around four shipyards were 65.18 ~ 414.96 mg/kg and exceeded PEL(Probable Effects Level) 64.4 mg-Cu/kg of Korean marine environmental standards for offshore sediments. The concentration of Cu at one station around B-shipyard was 414.96 mg/kg and exceeded ERM(Effect Range-Median) 270.0 mg-Cu/kg . The concentrations of Zn at all stations were in the range of 135.09 ~ 388.79 mg/kg which exceeded ERL 150.0 mg-Zn/kg . The concentrations of Zn at seven stations around four shipyards were 157.57 ~ 388.79 mg/kg and exceeded PEL 157.0 mg-Zn/kg . The concentration of Zn at one station around B-shipyard was 388.79 mg/kg and was approaching ERM 410.0 mg-Zn/kg . The concentrations of Cd at all stations were in the range of 0.11 ~ 0.54 mg/kg and were below TEL 0.75 mg-Cd/kg and ERL 1.2 mg-Cd/kg . The concentrations of Pb at all stations were in the range of 18.04 ~ 105.62 mg/kg . The concentrations of Pb at two stations around B-shipyard were 73.87 ~ 105.62 mg/kg which exceeded TEL 44.0 mg-Pb/kg and ERL 46.7 mg-Pb/kg , and were below PEL 119.0 mg-Pb/kg and ERM 218.0 mg-Pb/kg . The concentrations of Cr at all stations were in the range of 51.26 ~ 85.39 mg/kg. The concentration of Cr at one station around B-shipyard was 85.39 mg/kg and exceeded ERL 81.0 mg-Cr/kg . The concentrations of As at all stations were in the range of 8.70 ~ 22.15 mg/kg which exceeded ERL 8.2 mg-As/kg and were below ERM 70.0 mg-As/kg . The concentrations of As at eight stations around A-shipyard, B-shipyard and D-shipyard were 14.93 ~ 22.15 mg/kg which exceeded TEL 14.5 mg-As/kg and were below PEL 75.5 mg-As/kg . The concentrations of Hg at all stations were in the range of 0.02 ~ 0.35 mg/kg. The concentrations of Hg at three stations around A-shipyard were 0.11 ~ 0.13 mg/kg which were almost equal to TEL 0.11 mg-Hg/kg . Those at two stations around B-shipyard were 0.27 ~ 0.35 mg/kg which exceeded TEL 0.11 mg-Hg/kg and ERL 0.15 mg-Hg/kg, and were below PEL 0.62 mg-Hg/kg and ERM 0.71 mg-Hg/kg. The concentrations of Fe and Al at all stations were in the range of 2.90 ~ 3.66 % and 3.12 ~ 6.80 %, respectively. These results imply that heavy metals such as copper, zinc, lead, arsenic and mercury were likely to be transferred to marine environment from shipyards, especially from B-shipyard.

최근 10년간(2004 2013년) 국내의 조선소에서 발생한 해양오염사고의 건수를 연도별, 지역별, 조선소 작업별 및 오염물질별로 분석하였고, 이 분석 결과를 바탕으로 조선소 내 오염사고 방지 방안을 제시하였다. 전국의 조선소 내 오염사고는 10년간 총 103건이 발생하여 연평균 10.3건이었고, 연간 발생건수는 2004년 8건에서부터 점증하는 추세를 보이면서 2010년 23건으로 최고를 기록하였다가 다시 감소하는 추세로 바뀌어 2014년 9건을 나타내었다. 지역별 오염사고 건수는 부산이 32건(31%)으로 1위이고, 전남이 30건(29%), 경남이 21건(21%), 제주가 5건(5%), 강원과 경북이 각각 4건(4%), 인천과 충남이 각각 3건(3%)이었다. 조선소 작업별 오염사고 건수는 선박수리 작업이 60건(58%)으로 1위이고, 선박해체 작업이 25건(24%), 선박건조 작업이 10건(10%), 기타가 8건(8%)이었다. 오염물질별 오염사고 건수는 기름 및 유성혼합물이 59건(57%)으로 1위이고, 폐페인트 가루가 22건(21%), 쇳가루 및 용접슬래그가 13건(13%), 폐기물이 4건(4%), 폐FRP 가루가 3건(3%), 기타가 2건(2%)이었다. 국내 조선소 내의 오염사고를 방지하기 위한 방안으로는 ① 관련 법규의 준수, ② 조선소 밀집 지역에 대한 오염사고방지 실행계획의 수립 및 시행, ③ 특히 선박 수리 및 해체 작업을 하는 경우 조선소 내 기름오염방지 방안의 수립 및 시행, ④ 조선소 오염사고에 대한 민원 해결 대책의 마련, ⑤ 조선소 단속에 대한 국가 관리의 개선 등을 제시하였다.

Smart work는 정보통신기술을 이용하여 시간과 공간의 제약 없이 언제, 어디서든 근로자가 업무를 수행할 수 있는 유연한 근무형태를 의미한다. 스마트워크의 유형에는 모바일 오피스, 홈 오피스, 센터근무, 원격협업으로 분류할 수 있다. 태블릿PC나 스마트폰을 이용한 스마트워크 방식을 모바일 오피스라고 하며, 이동통신망과 휴대 단말기를 이용한 서비스를 제공하는 방식이다. 모바일 오피스는 무선환경과 스마트기기를 이용하여 움직이는 사무실을 구현하는 것으로 언제, 어디서나 사내 시스템에 접속하여 정보 검색은 물론 결재, 승인 등의 업무를 수행할 수 있다. 이러한 모바일 오피스 시스템을 조선소에 적용한다면, 실시간 처리로 근로자들의 생산성과 업무 효율성을 향상 시킬 수 있다. 따라서 본 연구는 조선업을 위한 HSE관리 모바일 어플리케이션 개발을 위해 기능을 추출하고 설계하는 것이 목적이다. 모바일용 HSE 관리 어플리케이션을 개발하기 위해 10개의 기능들을 추출하였고, ooCBD 방법론을 이용하여 설계하였다.

최근 5년간(2005-2009년) 국내의 조선소 주변해역에서 발생한 해양오염사고의 건수를 연도별, 지역별, 원인별 및 물질별로 분석하였다. 조선소 주변의 해양오염사고는 5년간 총 45건이 발생하였으며, 2005년 연간 8건이 2009년 연간 15건으로 증가하는 추세를 보였다. 발생 지역별로 살펴보면, 부산 지역이 17건(41%)의 오염사고가 발생하여 1위이고, 경남과 전남 지역이 각각 9건(22%), 강원 지역이 3건(7%), 경북 지역이 2건

The purpose of this study was to examine associations between subjective symptoms of musculoskeletal diseases and the degree of job stress among shipyard workers. The study population was 7,078 employees of the D shipbuilding company. Survey data was obtained from 1,727 employees using a proportional sample according to age and a self-administered questionnaire. The associations were examined with and logistic regression. The main results were as follows: First, the prevalence of musculoskeletal disease in any one part is 59.5% by NIOSH standard. Second, subjects who had worked in the shipyard for over five years had a prevalence of musculoskeletal disease 1.8 times higher than subjects who had worked in the shipyard for less than five years (p<.01). Finally, those who had less support from co-worker's had a prevalence of musculoskeletal disease 1.3 times higher than subjects who had more support from co-worker's (p<.05). Throughout the results, shipyard workers had higher occurrences of musculoskeletal diseases than other manufacturing workers and the risk of musculoskeletal disorder tended to increase with higher job stress. In this research, the plan to reduce musculoskeletal diseases involved making a program and policy which would be able to lower job stress socio-psychologically. This research will prove useful by using basic preventive materials to improve the musculoskeletal health of labores who work in shipyards and similar places.

In order to prepare the information needed to construct a reduction system for volatile organic compounds (VOCs) exhausted from ship-block paint-booths in a giant shipyard, VOCs in paint-shop airs were analyzed and compared to the components in paint thinners. Aromatic hydrocarbons containing eight and nine carbon atoms are known to be major VOC compounds found in shipyard paint-shops. The total hydrocarbon (THC(C7)) concentrations calibrated using toluene gas, were measured in block paint-shops with two photo-ionization detector (PID) meters, and the resulting THC(C7) data were converted to THC(C1) concentrations according to the Standard Methods for the Measurements of Air Pollution in South Korea. THC(C1) concentrations near the spray site ranged from 10 to 2,000 ppm, but they were less than 400 ppm near the walls of the paint-booth. The measurements of THC concentrations, based on the height of the monitoring sites, were related to the height of the target to which the spray paints were applied. The maximum concentrations occurred at almost the same height as the spray targets. When painted blocks had been dried-by warming with no spraying, the THC concentrations were 80~100 ppm.

This study was carried out to evaluate the characteristics of atmospheric concentrations of volatile organic compounds(VOCs) and aldehydes for near a large shipyard. Most of the painting work in marine coating is performed indoor and outdoor. Most of the VOCs are emitted to the atmosphere as the paint is applied and cures. The massive scale of a ship makes it difficult to capture the emissions from outdoor painting. The VOCs are an important health and contributors to photochemical smog. The VOCs and aldehydes samples were collected using adsorbent tube and 2,4-DNPH cartridge, and were determined by an automatic thermal desorption coupled with GC/MS and HPLC-UV analysis, respectively. A total of 16 aromatic VOCs and 12 aldehydes of environmental concern were determined. At indoor coating facilities, the most abundant compound among 16 target VOCs appeared to be m,p-xylene, being followed by o-xylene. But most of the aldehydes were extremely lower concentrations. The atmospheric concentration of VOCs, m,p-xylene concentrations were the highest and the mean value were outdoor workshop 11.323 ppb, residental area 5.134 ppb, and green area 2.137 ppb, respectively. However, the most aldehydes were extremely lower concentrations such as formaldehyde, acetaldehyde and non-detection such as iso-valeraldehyde, n-valeraldehyde and o-tolualdehyde.