• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.67-72
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• 2008

Heavy equipment is a very important factor for successful construction implementation. Also, the cost for heavy equipment is a major part of construction cost. Therefore, the estimation of equipment cost is a critical job in the construction planning phase. A formula for production rates shown in 'Standard Unit Labor' has been used to estimate construction equipment capability per hour and cost. Although the performance of equipment has been improved, the efficiency rates in the formula are not updated lately. Therefore, this research performed several site visits to measure construction equipment working time and then calculates the efficiency rates for hydraulic backhoe, loader, and dump truck. The results show that the measured efficiencies of backhoe and loader are higher than current ones and vice versa for dump truck. This research proposes the needs for a standardized calculation formula and systematic and long-term data collection and measurement for updating efficiency rates for heavy equipment.

• Geotechnical Engineering
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• v.37 no.6
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• pp.39-47
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• 2021

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.493-504
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• 2008

Considerable effort has been made to improve construction processes through mechanization and robotization of current work. In this paper, the trend of research and development related to the construction machinery automation to improve the construction productivity has been reviewed. A classification system is proposed for automation of architectural and civil works. Then, the priority among the classified construction tasks for automation has been identified through the questionnaire study. Based on the priority for automation a comprehensive technology road map was also developed. The technology road map suggests the time frame to complete R&D work for the selected construction tasks and the core technology required for automation of the selected tasks. Such automation R&D road map for construction machinery can be utilized as a milestone in setting up the R&D strategy in the construction industry.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.476-481
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• 2021

본 논문은 용어의 비통일성과 문서의 다양성으로 인해 발생하는 건설분야 전문가들의 의사소통 문제를 해결하기 위한 Con-Talky를 제안한다. Con-Talky는 자연언어처리의 대표적인 기술인 형태소분석, 의존구문분석, 의미역 결정 기술을 융합하여 건설분야의 "설계기준문서"를 시각화하고 핵심 정보추출을 자동으로 해주는 플랫폼이다. 해당 플랫폼을 이용하여 토목분야 전문가들의 의사소통 문제를 완화시킬 수 있으며 용어의 비통일성 및 표준화에도 기여할 수 있다. 또한 본 논문은 국내 건설 및 토목분야에 최초로 자연언어처리 기술을 적용한 논문이다. 해당 분야의 연구를 활성화 하기 위해 건설분야에 특화된 단일 말뭉치와 트리플 데이터를 자체 제작함과 동시에 전면 공개하였다.

• 전기의세계
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• v.46 no.1
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• pp.12-18
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• 1997

본 논고에서는 센서나 전자제어를 적극적으로 달고 넣어서 지능화를 진행하고 있는 국내외에서 발표된 토목.건설기계의 신 기술 및 자동 제어 기법들을 소개하고 금후의 기술동향의 방향성을 살펴보고자 한다.

• Water for future
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• v.53 no.11
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• pp.138-145
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• 2020

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.142-142
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• 2019

하천 생태환경은 토지이용, 댐건설 및 기후변화 등 외부의 압력에 따른 변화로 인해 오염물 유입, 녹조 발생, 어패류 떼죽음 등 생태계 교란 및 환경변화가 발생한다. 이러한 생태환경 문제를 해결하기 위해 전 세계적으로 하천생태환경시스템 복원이 논의되고 있으며 환경적 측면을 강조한 자연친화적 하천을 목표로 개발 방향이 바뀌고 있다. 이처럼 하천생태환경의 중요성이 커지고 있지만 보다 객관적이고 정량적인 평가를 위한 연구는 부족한 실정이다. 본 연구에서는 낙동강 감천유역을 대상으로 하였으며, 김천부항댐 건설로 인한 생태환경시스템의 변화를 정량적으로 평가하고자 수문변화지표법(Indicators of Hydrologic Alteration, IHA)을 활용하여 33개의 수문변화지표군(IHA Parameters)과 34개 환경유량지표군(Environmental Flow Components Parameters)을 산정하였다. 분석을 위하여 감천유역 선산관측소의 2007년 ~ 2018년까지의 일 유량 자료를 활용하였으며, 댐이 건설된 2014년 1월 1일을 기점으로 댐 건설 전(2007 ~ 2013)과 댐 건설 후(2014 ~ 2018)가 하천생태환경 및 환경유량에 미치는 영향을 평가하였다. 본 연구를 토대로 지속가능한 하천생태계 보전을 위한 명확한 목표와 효율적인 평가과정을 수립하는 데 도움이 될 것으로 보인다.

• Korean Journal of Construction Engineering and Management
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• v.2 no.4 s.8
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• pp.80-91
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• 2001

Considering that the classified items in the work section level can have an applicability when those items are being used to cost and specification information with consistency, the work section classification code should be applied as an Integrated code system. Our construction industry is using three work section classification systems for civil engineering projects, such as integrated construction information classification system, standard method of measurement and guide of project specification. And each standard construction specification is also using different work section classification systems. This study suggests a methodology to integrate the code systems in construction specifications with civil engineering standard method of measurement. And the methodology suggested in this study was applied to a web-based prototype system with practical specification codes.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.1
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• pp.99-107
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• 2023

Recently, the rate of death and safety accidents at construction sites is the highest among all kinds of industries. In order to apply artificial intelligence technology to construction sites, it is essential to secure a dataset which can be used as a basic training data. In this paper, a number of image data were collected through actual construction site, for which major construction equipment objects mainly operated in civil engineering sites were defined. The optimal training dataset construction was completed by annotation process of about 90,000 image dataset. Reliability of the dataset was verified with the mAP of over 90 % in use of YOLO, a representative model in the field of object detection. The construction equipment training dataset built in this study has been released which is currently available on the public data portal of the Ministry of Public Administration and Security. This dataset is expected to be freely used for any application of object detection technology on construction sites especially in the field of construction safety in the future.

• Korean Journal of Construction Engineering and Management
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• v.20 no.5
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• pp.125-136
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• 2019

This study investigated checked risk level before bid, actual risk level after award, contingency, and cost growth rate in the 124 international construction projects executed by Korean major companies. This study conducted comparative analysis by product type using rank analysis, ANOVA and correlation analysis. As a result, plant and civil projects have worse risk level than architecture projects not only in before bid but also in after award. Especially, country risk is the worst risk in both plant and civil projects, followed by project risk and capability risk. Also, although plant and civil projects reflect more contingency than architecture projects, contingency is not correlated with the checked risk level before bid. Lastly, the cost growth rate is correlated with the actual risk level in all product types. This study is expected to support in planning better practical risk management for international construction projects.