• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2012년 춘계학술대회
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• pp.43-59
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• 2012

As contemporary building construction type is getting higher and deeper,construction equipment usage is getting more, and related fatal accidents are on an increasing trend. In these days, due to the deteriorating construction business circumstance, job finding problem of equipment operator, and dumping contract, equipment lease suppliers are putin jeopardy. In high-rise building construction, especially tower crane, mobile elevated work platform and other High place operation cars among construction equipment cause many critical accidents because of drop supply of construction biding bringing out dumping contract could cause unsafe and poor construction management. Because of this, a method was drawn which could grasp the present state of construction equipment management and manage safety of the equipment more easily for accident prevention by choosing 2 kinds of Construction equipment which cause safety accident frequently among the equipment mainly used in construction site. This study suggested a method about construction equipment safety management using "smart phone" base which could be used in safety management for construction equipment by whomever in construction site. After attachment of QR code included safety checklist, It became possible that site managers could check more efficiently by scanning with their smart phone when they inspect equipment. Moreover, by the construction interested who didn't know what and how they have to inspect could point out unsafe condition in the early stage of equipment entering or take unsafe one out of the site by using new smart phone safety checking system is installed, it became possible that critical accident caused by construction equipment was prevented in advance.

• 대한건축학회논문집:구조계
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• 제34권5호
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• pp.35-42
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• 2018

In order to seek out methods to reduce safety accidents caused by construction machinery and equipment, this study collects data about safety accidents and draws main risk factors by construction from the data, through SNA. It aimed to suggest safety management points to be used in future construction fields, by analyzing risk index of such factors. The finding can be summarized: First, Backhoe Bucket is the risk factor for crash accidents of average workers in earth works; boring machines-maintenance is the risk factor for fall accidents of construction machinery operators in foundation works; bending machine-reinforcing rod processing is the risk factor for jamming accidents of reinforcing rod engineers in frame works; and mobile crane-hook is the risk factor for crash accidents of average workers in lifting works. Second, works can be arranged in turn, according to the risk index: earth, lifting, frame and foundation works. Risk factors can be also arranged according to the risk index: Backhoe in earth works, pile drivers in foundation works, bending machines in frame works and mobile cranes in lifting works. This study has some limits, in that it only analyzed main machinery/equipment, among various kinds of them, for earth, foundation, frame and temporary works (lifting works) and used data collected over three years. Therefore, it is necessary to conduct an analysis using big data, by collecting additional data about a lot of machinery/equipment in future construction fields.

• Safety and Health at Work
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• 제9권2호
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• pp.184-191
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• 2018

Background: Due to an increasing number of workers aged 50 years and above, the number of those employed is also on the rise, and those workers aged 50 and over has exceeded 50% of the total fatal occupational injuries. Therefore, it is necessary to implement the selection and concentration by identifying the characteristics of high-risk groups necessary for an effective prevention against and reduction of fatal occupational injuries. Methods: This study analyzed the characteristics of high-risk groups and the occupational injury fatality rate per 10,000 workers among the workers aged 50 and over through a multi-dimensional analysis by sex, employment status of workers, industry and occupation by targeting 4,079 persons who died in fatal occupational injuries from January 2007 to December 12. Results: The share of the workers aged 50 years and above is increasing every year in the total fatal occupational injuries occurrence, and the high-risk groups include 'male workers' by sex, 'daily workers' by worker's status, 'craft and related-trades workers' by occupation, and 'mining' by industry. Conclusion: The most frequent causal objects of fatal occupational injuries of the workers aged 50 years and above are found out to be 'installment and dismantlement of temporary equipment and material on work platforms including scaffold' in the construction industry and 'mobile crane, conveyor belt and fork lifts' in the manufacturing industry.

• 대한토목학회논문집
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• 제39권3호
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• pp.451-460
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• 2019

우리나라는 제한된 국토 면적에 비해 인구 밀도가 높고 그에 따른 교통량 증가로 인한 효율적인 공간 이용의 필요성이 시급하다. 이를 위해 여러가지 지하구조물의 건설이 증가하고 있으며 그 대표적인 것이 복층터널이다 대심도에 구축되는 복층터널에서 중간슬래브의 시공기간은 전체 공정에서 터널 라이닝 구축 다음으로 중요한 부분이라 할 수 있다. 복층터널에서 중간슬래브를 구축하는데 소요되는 공기를 최소화할 수 있는 방안으로는 공장에서 제작된 프리캐스트 중간슬래브를 현장으로 운반하여 설치하는 공법이 제시되었으며, 현장에서 중간슬래브를 가설함에 있어서 기존의 크레인을 이용한 가설공법보다 안전하고 시공성을 향상시키기 위한 전용가설장비가 개발되어 인력투입을 최소화한 기계화가설 공법을 이 연구에서 제시하였다.

• 한국재난정보학회 논문집
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• 제19권4호
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• pp.916-923
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• 2023

연구목적: 2022년 산업재해 현황 부가통계에서 건설업 사망사고자 현황을 보면 건설업 전체 사망사고자의 27.8%가 건설장비로 인해 발생하고 있다. 현장 대형화, 고층화 등으로 발생하는 순회 및 점검의 한계를 극복하기 위해 컴퓨터 비전 기술을 활용해 건설장비를 추출할 수 있는 모델을 구축하고 해당 모델의 정확도 및 현장 적용성에 대해 분석하고자 한다. 연구방법:본 연구에서는 건설장비 중 굴착기, 덤프트럭, 이동식 크레인의 이미지 데이터를 딥러닝 학습시킨 뒤 학습 결과를 평가 및 분석하고 건설현장에 적용하여 분석한다. 연구결과: 'A' 현장에서는 굴착기 및 덤프트럭의 객체를 추출하였으며, 평균 추출 정확도는 굴착기 81.42%, 덤프트럭 78.23%를 나타냈다. 'B' 현장의 이동식 크레인은 78.14%의 평균 정확도를 보여줬다. 결론: 현장 안전관리의 효율성이 증가할 수 있고, 재해발생 위험요인을 최소화 할 수 있을것이라 본다. 또한, 본 연구를 기반으로 건설현장에 스마트 건설기술 도입에 관한 기초적인 자료로 활용이 가능하다.