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드론 영상분석 기술을 활용한 실내 골조 균열 모니터링 시스템 검증
노현주 ( Nho Hyunju ),이기륜 ( Lee Giryun ),정남철 ( Jung Namcheol ) 한국건축시공학회 2023 한국건축시공학회 학술발표대회 논문집 Vol.23 No.2
Drone is a suitable equipment for capturing images of cracks at construction sites based on its efficient mobility and high-resolution image acquisition capabilities. In this study, drone was used to acquire indoor construction sites framework images and deep learning technology was applied to detect cracks and measure width, and size. Finally, the usability of the process was verified based on the indoor crack monitoring system.
다관절 로봇을 이용한 건설용 3D프린팅 출력시스템 개발
이기륜 ( Lee Giryun ),노현주 ( Nho Hyunju ),정남철 ( Jung Namcheol ) 한국건축시공학회 2023 한국건축시공학회 학술발표대회 논문집 Vol.23 No.2
3D printing technology is recognized as a core technology that will lead the next generation, and is a field that can have a large ripple effect if it innovates the existing construction production method. Therefore, this study deals with the development of a 3d printing system using an articulated robot for construction purposes. In this system, ABB robot was used to control the developed cement gun accurately. The system is composed of mixer to mix cementitious materials, pump to transfer the materials, abb robot to motion control and cement gun to extrude the materials to print required construction parts. Using the system developed in this study, a suitable mix ratio of cementitious materials was found and successively printed a 1m high structure that demonstrated possibility of printing structures using 3d printer. In the future, we plan to build a foundation for automated construction through research on construction methods and materials that can be continuously layered for the system.
무인순찰로봇 활용 데이터 기록 자동화를 위한 메타데이터 정의 및 시스템 구축
정남철 ( Jung Namcheol ),이기륜 ( Lee Giryun ),노현주 ( Nho Hyunju ) 한국건축시공학회 2023 한국건축시공학회 학술발표대회 논문집 Vol.23 No.2
Unmanned patrol robots are currently being developed for autonomous data survey in construction sites. As the amount of data acquired by robots increases, it is important to utilize proper metadata and system to manage data flow. In this study, we developed three materials, metadata design, robot system and web system, in the purpose of automating construction site data survey using unmanned patrol robots. The metadata was mainly designed to represent when and where raw data was acquired. To identify the location of data acquired, localization data from SLAM algorithm was converted to suit the construction drawings. The robot system and web system were developed to generate, store and parse the raw data and metadata automatically. The materials developed in this study was adopted to Boston Dynamics SPOT, a quadruped robot. Autonomous data survey of 360-picture and environment sensor was tested in two construction sites and the robot worked as intended. As a further study, development on the autonomous data survey to improve the convenience and productivity will be continued.