• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.249-250
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• 2021

The use of smart equipment such as drones is increasing in construction sites. In particular, there are frequent cases where two or more drones must be used at the same time. This leads to different considerations than when operating a single unit. This study aims to analyze the requirements to be considered in the case of the operation of drones that monitor fine dust and drones that reduce fine dust in order to reduce fine dust generated in construction sites.

• 한국산업융합학회 논문집
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• 제23권5호
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• pp.709-716
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• 2020

Recently, the drone's equipment development and software technology have dramatically improved. With such developments, the applicability is increasing in various fields that require rapid geospatial information, and in practice, regulations and systems have been established, and the fields in use are increasing. Also, in Korea, corporations and public institutions are actually using and researching drones in fields such as aircraft development, communication technology development, construction site use, and surveying. However, there are no fields where drones are actually used in road construction sites. Therefore, in this study, to utilize drones that have been actively used in the civil engineering and construction fields for road construction, we investigated the current status of the Korea Highway Corporation's field drone use research and classified the possibility of drone introduction by road construction. Finally, a method of using drones at road construction sites was proposed to prepare a method for using drones at road construction sites.

• 한국산업융합학회 논문집
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• 제26권6_2호
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• pp.1145-1153
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• 2023

This study presents the development of pointcloud data integration technology in construction sites via drone photogrammetry and MMS LiDAR. The integration of pointcloud data from drones and MMS technology can provide precise and accurate 3D digital maps of construction sites, which can benefit the development of smart construction and BIM. The advantages of using both drones and MMS technology for pointcloud data acquisition in construction sites are discussed, along with the limitations and challenges of using drone photogrammetry and MMS LiDAR for pointcloud data integration. The results of this study can contribute to the advancement of pointcloud data integration technology in construction sites and improve the efficiency and accuracy of construction projects.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.225-226
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• 2022

In order to secure the practicality of services using drones, improve on-site operability, and improve the convenience of aircraft maintenance, it is necessary to develop a drone station that can be safely stored while ensuring charging performance. Therefore, a total seven points of improvement were derived through laboratory experiments after the development of the first prototype, and an improved second prototype will be developed in the future based on the preceding processes.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.239-240
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• 2023

Construction site management involves overseeing tasks from the construction phase to the maintenance stage, and digitalization of construction sites is necessary for digital construction site management. In this study, we aim to conduct research on object recognition at construction sites using drones. Images of construction sites captured by drones are reconstructed into BIM (Building Information Modeling) models, and objects are recognized after partially rendering the models using artificial intelligence. For the photorealistic rendering of the BIM models, both traditional filtering techniques and the generative adversarial network (GAN) model were used, while the YOLO (You Only Look Once) model was employed for object recognition. This study is expected to provide insights into the research direction of digital construction site management and help assess the potential and future value of introducing artificial intelligence in the construction industry.

• 대한토목학회논문집
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• 제41권4호
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• pp.461-468
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• 2021

모든 생애주기에서 건설현장을 3D 데이터로 관리하게 되는 스마트건설에 있어서 드론의 역할은 날로 증대하고 있다. 드론을 통하여 건설현장에 대하여 얻게 되는 수치표면모델과 정사영상이 모두 포인트 클라우드 데이터로 이루어지기 때문이다. 본 연구는 고속도로 건설현장에서 드론 활용을 보다 체계적으로 하기 위하여 드론 활용을 위한 표준공종을 개발하는 것이다. 연구를 위하여 우리나라 고속도로 건설현장 두 곳을 테스트베드로 설정하고 드론 촬영 시범사업을 통하여 드론 적용이 가능한 공종을 도출하고 검증하였다. 연구결과 도로계획, 도로설계 및 유지관리부분에 각각 세 개의 공종을 개발하였고, 도로시공에 있어서는 다섯개의 공종에 21개의 세부공종을 개발할 수 있었다. 본 연구에서 개발된 '고속도로 건설현장 드론활용 표준공종'을 활용한다면 고속도로 건설현장뿐 아니라 다른 도로 건설현장에서도 드론을 활용하여 보다 체계적으로 건설현장을 관리할 수 있을 것으로 기대된다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.30-38
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• 2021

This research explored methods for improvements to be made within the field of drone usage within the construction industry based on an investigation of factors which limit their efficiency and productivity. Limiting factors and improvement measures were presented in terms of technology, service, law and policy for employing drones at construction sites. Our first suggestion is, from a technical point of view, that companies need to expand professional manpower and infrastructure for systematic management. Second, in terms of service expansion, it is necessary to have management capabilities for operation such as the use of drones with enhanced safety and reinforced on-site education and personal information management. Third, in terms of legal and institutional support measures, it is necessary to prepare a plan for reforming the legal system for revitalization and to expand the training of professional manpower. This study may contribute not only to the development of drone technology, but also to effectively respond to various problems that appear at construction sites.

• 한국건축시공학회지
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• 제23권3호
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• pp.327-336
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• 2023

The focus of this research was to devise a conceptual methodology for drone usage and to assess the viability of safety checklist items specific to drone application in safety oversight. The appraisal was grounded in a focus group interview involving professionals from construction management and safety fields. The proposed process was segmented into four stages: 1) pre-flight phase for flight plan development, 2) drone flight phase for safety condition inspection utilizing checklist items, 3) post-flight phase for visual asset analysis, and 4) documentation and management phase. Furthermore, the research scrutinized the applicability of 32 distinct safety checklist items for drone operations. The primary aim of this investigation was to probe the possible deployment of drones as part of construction safety inspections at work sites. However, it bears mentioning that subsequent research should strive to gather a more extensive sample size through questionnaire surveys, thereby facilitating quantitative analysis. Administering such surveys would yield more comprehensive data compared to a focus group interview, which was constrained by a limited participant count. In summation, this study lays a foundational groundwork for understanding the potential advantages and challenges associated with integrating drones into construction safety management.

• 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.

• 한국산업융합학회 논문집
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• 제24권6_2호
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• pp.753-762
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• 2021

Google provides mapping services using satellite imagery, this is widely used for the study. Since about 20 years ago, research and business using drones have been expanding. Pix4D is widely used to create 3D information models using drones. This study compared the distance error by comparing the result of the road construction site with the DSM data of Google Earth and Pix4 D. Through this, we tried to understand the reliability of the result of distance measurement in Google Earth. A DTM result of 3.08 cm/pixel was obtained as a result of matching with 49666 key points for each image. The length and altitude of Pix4D and Google Earth were measured and compared using the obtained PCD. As a result, the average error of the distance based on the data of Pix4D was measured to be 0.68 m, confirming that the error was relatively small. As a result of measuring the altitude of Google Earth and Pix4D and comparing them, it was confirmed that the maximum error was 83.214m, which was measured using satellite images, but the error was quite large and there was inaccuracy. Through this, it was confirmed that there are difficulties in analyzing and acquiring data at road construction sites using Google Earth, and the result was obtained that point cloud data using drones is necessary.