• 한국안전학회지
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• 제32권2호
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• pp.78-84
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• 2017

Subcontractors have an increased risk of accidents compared to large contractors. Subcontractors' safety management system is in close association with workers in construction sites. Contractors should strengthen subcontractors' roll and responsibility and provide continual support to prevent an accident. And also these supporting system should be provided to subcontractors' headquarters as well as construction site. Contractors' priority management for subcontractors safety should be transferred from the post management for disciplinary action to the preventive management to improve subcontractors participation and safety performance. Subcontractors can not establish the safety management system with just a one time supporting only. Contractors support and monitoring should be provided to subcontractors regularly and continuously to establish their self safety management system. The subcontractors safety management system improvement program(SSMSIP) suggested in this study will be a effective supporting system for subcontractors to establish and improve their safety management system. If we carry out the objective and quantitative evaluations and supporting system such as SSMSIP and provide the consequential incentive program to subcontractors, it can contribute to the accident reduction.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 춘계 학술발표회
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• pp.1438-1447
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• 2010

국가 경제규모의 성장과 더불어 단위 건설현장의 규모도 대형화, 복합화 되어 가고 있는 추세이다. 이에 따라 건설현장의 다양한 자재, 장비, 인력 등의 자원에 관한 실시간 정보파악은 효율적인 프로젝트 관리의 필요성으로 대두되었다. 최근 건축분야에서는 다양한 첨단센서를 활용한 연구와 적용이 이루어지고 있다. 그러나 토목분야에는 이러한 연구가 거의 전무한 실정이다. 따라서 본 연구에서는 NATM 공법을 이용한 터널 시공 중 첨단센서를 적용할 수 있는 방안을 모색하기 위하여 자재를 이용한 진도관리에 있어서 실제 현장에 활용 가능한 방법을 제시하였다. 각 공정을 수행하는데 사용되는 자재목록을 만든 후에 공정의 대표여부, IT기술의 적용성을 검토하여 대표자재로 숏크리트와 라이닝을 선정하였으며, 선정된 대표자재를 이용한 공정시각화 및 진도관리 방안을 제시하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.877-885
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• 2022

Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.

• 한국건축시공학회지
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• 제24권1호
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• pp.87-95
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• 2024

일반적으로 드론이라고 불리는 무인항공체계(UAS)는 건설 분야에서 다양한 연구를 수행해 관련 기술이 도입되고 있다. 본 연구의 주요 목표는 건설산업에서 드론 도입 수준과 예상되는 영향을 조사하고 드론 활성화에 있어 발생하는 한계점에 따른 해결방안을 제안하는 것이다. 21명의 전문가의 설문조사 및 그룹 인터뷰를 종합한 결과 응답자들은 건설현장 내 드론의 적용 수준 대비 도입 필요성 및 기술 개발 잠재력을 높게 평가였다. 응답자들은 드론이 건설 안전 및 생산성 향상에 가장 긍정적인 영향을 미칠 것으로 예상하며, 드론 도입을 저해하는 세 가지 문제점으로서 UAS 모니터링 시스템 구축 비용 부담, 데이터 교환 및 관리 시스템 부재, 드론 사용을 위한 전문 교육의 필요성을 도출하고 각 요인의 극복 방안을 제시하였다. 본 연구는 건설현장에서의 드론 사용 수준 및 기대 효과를 파악하고 드론 활성화를 위한 현 과제와 예상 해결방안을 식별하는데 기여하고 있다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.45-47
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• 2010

Terrestrial Laser Scanner is widely useful in the cultural heritage documentation, acquisition of three-dimensional spatial information in the field of civil engineering and construction, and the safety monitoring for the inaccessible sites such as a few bridges and landslides. This study deals with the investigation of distance measurement and the performances assesment with waveform clouds-based(TLS).

• 한국농공학회논문집
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• 제48권1호
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• pp.91-102
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• 2006

Most projects of tideland reclamation with dike construction produce estuarine reservoirs, which may result in water quality problems due to blocking of natural flow of stream water to the sea. External loadings to the reservoirs through tributaries are major concerns in a concerned water quality management. The water quality of a reservoir is greatly influenced by watershed drainage, and accurate estimation of pollutant is indispensable for in the reservoir management. Concentrations of the microorganisms in stream water and conventional parameters were monitored in the 13 water quality monitoring sites located in a rural watershed of Hwaong estuarine reservoir. The indicator of microorganisms showed strong correlation between them, and regression equations with $R^2\geq0.70$ may be used fur estimating one from other microorganisms. The relationships between water quality parameters obtained in this study may be used to infer one unknown pollutant concentrations from the measured pollutant loadings. This methodology could be applied to other areas where the watershed characteristics are not significantly different from the study area. High concentrations of nitrogen was observed in water quality monitoring sites affected by urban land uses and numbers of livestock in wet day as well as dry day, due to the influent of diffuse sources.

• 응용통계연구
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• 제20권3호
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• pp.459-473
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• 2007

본 연구에서는 연평균일교통량 예측을 위한 공간회귀모형을 제시하였다. 비록 공간 분석을 위하여 조사지점들 간의 유클리디안 거리가 일반적으로 사용되고 있지만, 조사되지 않는 도로의 교통량 예측을 위하여 교통량 조사지점들 간의 최단경로를 이용한 공간회귀모형을 새롭게 시도하였다. 공간예측방법으로는 일반크리깅을 사용하였으며 교차검증을 통하여 정량적으로 최단경로 기반의 교통량공간예측모형의 타당성을 제시하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.721-727
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• 2022

Construction safety remains an ongoing concern, and project managers have been increasingly forced to cope with myriad uncertainties related to human operations on construction sites and the lack of a skilled workforce in hazardous circumstances. Various construction fatality monitoring systems have been widely proposed as alternatives to overcome these difficulties and to improve safety management performance. In this study, we propose an intelligent, automatic control system that can proactively protect workers using both the analysis of big data of past safety accidents, as well as the real-time detection of worker non-compliance in using personal protective equipment (PPE) on a construction site. These data are obtained using computer vision technology and data analytics, which are integrated and reinforced by lessons learned from the analysis of big data of safety accidents that occurred in the last 10 years. The system offers data-informed recommendations for high-risk workers, and proactively eliminates the possibility of safety accidents. As an illustrative case, we selected a pilot project and applied the proposed system to workers in uncontrolled environments. Decreases in workers PPE non-compliance rates, improvements in variable compliance rates, reductions in severe fatalities through guidelines that are customized according to the worker, and accelerations in safety performance achievements are expected.

• 한국환경복원기술학회지
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• 제21권4호
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• pp.75-86
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• 2018

This research was thereby made to study and analysis ecological, landscape, and stability qualities of roadside cut Slopes in expressways and national highways that went through revegetation works. Also, evaluation items and framework for integrated assessment of plant structure and restored state for the maintenance were suggested. Following is the summary of the result. firstly, for stabilization of introduced native plant species on roadside cut slops, assessment on the post-project environmental management through long-term monitoring and maintenance works must be made. It signifies a form of authentic recovery and restoration by the native plants. second, current evaluation framework on the test beds is well managed with clear evaluation standards and table while its method of assessing the post management with only test bed results lacks conformity with this study site. Newly developed evaluation framework on the post construction sites is estimated to be used as assessment standards on any roadside construction sites. Third, after site investigation distinction was observed among different revegetating construction types in the long-term perspective. Due to the different duration time of vegetation state between seed-spray measures(degraded in time) and layer-spray measure(maintained), the use of coarse straw-mat mulching work or Coir net was suggested in long term maintenance of cut slopes. forth, segmentation of post environmental assessment is organized into three large categories of "ecological", "stabile", and "landscape" qualities regarding post restoration quality and stability of slope through native plants with which categories marks 50, 30, 20 points of rates. fifth, components of the post environmental assessment were segmented in twelve categories driving results from former experimental construction and newly focused items on site. In the future, it is possible to propose a customized assessment method considering the location and location of construction work if the research on the application of post-environment assessment methods for road construction surface recording is conducted systematically.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.546-549
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• 2022

최근 산업 현장에서 발생하는 사고의 증가를 막기 위해 4차 산업 시대의 다양한 혁신 기술을 건축 행정에 접목하여 산업 현장 안전 관리의 효율성을 높이는 안전 관리 고도화 작업을 추진하고 있다. 이에 따라 산업 현장에서 발생하는 위험을 선제적으로 예방하고 실시간으로 관리하는 지능형 모니터링을 이용한 스마트 안전 관리 시스템이 주목받고 있다. 스마트 안전 관리 시스템은 곳곳에 위치된 센서를 통해 현장의 소음, 가스 농도, 미세먼지 농도, 건축 자재의 품질, 건축물의 기울기 그리고 RFID를 활용한 근무자의 출입 여부와 같은 요소를 실시간으로 원격 모니터링할 수 있는 시스템을 사용자에게 제공한다. 본 논문에서는 라즈베리파이를 이용하여 스마트 안전 관리 시스템을 위한 다양한 데이터를 지그비 통신으로 수집 및 모니터링하는 방법을 제시한다.