IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p2290-d502648.html
   My bibliography  Save this article

Remote Indoor Construction Progress Monitoring Using Extended Reality

Author

Listed:
  • Ahmed Khairadeen Ali

    (School of Architecture and Building Science, Chung-Ang University, Seoul 06974, Korea
    Haenglim Architecture and Engineering Company, Seoul 05854, Korea)

  • One Jae Lee

    (Haenglim Architecture and Engineering Company, Seoul 05854, Korea)

  • Doyeop Lee

    (School of Architecture and Building Science, Chung-Ang University, Seoul 06974, Korea)

  • Chansik Park

    (School of Architecture and Building Science, Chung-Ang University, Seoul 06974, Korea)

Abstract

Construction Progress monitoring noticed recent expansions by adopting vision and laser technologies. However, inspectors need to personally visit the job-site or wait for a time gap to process data captured from the construction site to use for inspection. Recent inspection methods lacks automation and real-time data exchange, therefore, it needs inspection manpower for each job-site, the health risk of physical interaction between workers and inspector, loss of energy, data loss, and time consumption. To address this issue, a near real-time construction work inspection system called iVR is proposed; this system integrates 3D scanning, extended reality, and visual programming to visualize interactive onsite inspection for indoor activities and provide numeric data. The iVR comprises five modules: iVR-location finder (finding laser scanner located in the construction site) iVR-scan (capture point cloud data of job-site indoor activity), iVR-prepare (processes and convert 3D scan data into a 3D model), iVR-inspect (conduct immersive visual reality inspection in construction office), and iVR-feedback (visualize inspection feedback from job-site using augmented reality). An experimental lab test is conducted to verify the applicability of iVR process; it successfully exchanges required information between construction job-site and office in a specific time. This system is expected to assist Engineers and workers in quality assessment, progress assessments, and decision-making which can realize a productive and practical communication platform, unlike conventional monitoring or data capturing, processing, and storage methods, which involve storage, compatibility and time-consumption issues.

Suggested Citation

  • Ahmed Khairadeen Ali & One Jae Lee & Doyeop Lee & Chansik Park, 2021. "Remote Indoor Construction Progress Monitoring Using Extended Reality," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2290-:d:502648
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/2290/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/2290/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Steve Scott & Sami Assadi, 1999. "A survey of the site records kept by construction supervisors," Construction Management and Economics, Taylor & Francis Journals, vol. 17(3), pages 375-382.
    2. Donghyun Kim & Soonwook Kwon & Chung-Suk Cho & Borja García de Soto & Daeyoon Moon, 2020. "Automatic Space Analysis Using Laser Scanning and a 3D Grid: Applications to Industrial Plant Facilities," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    3. Seungho Kim & Sangyong Kim & Dong-Eun Lee, 2020. "Sustainable Application of Hybrid Point Cloud and BIM Method for Tracking Construction Progress," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    4. Byung-Wan Jo & Yun-Sung Lee & Jung-Hoon Kim & Do-Keun Kim & Pyung-Ho Choi, 2017. "Proximity Warning and Excavator Control System for Prevention of Collision Accidents," Sustainability, MDPI, vol. 9(8), pages 1-20, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alessandro Carbonari & Carlos Franco & Berardo Naticchia & Francesco Spegni & Massimo Vaccarini, 2022. "A Mixed Reality Application for the On-Site Assessment of Building Renovation: Development and Testing," Sustainability, MDPI, vol. 14(20), pages 1-28, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali Noudoostbeni & Kiran Kaur & Hashem Salarzadeh Jenatabadi, 2018. "A Comparison of Structural Equation Modeling Approaches with DeLone & McLean’s Model: A Case Study of Radio-Frequency Identification User Satisfaction in Malaysian University Libraries," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    2. Yun-Sung Lee & Do-Keun Kim & Jung-Hoon Kim, 2023. "Deep-Learning-Based Anti-Collision System for Construction Equipment Operators," Sustainability, MDPI, vol. 15(23), pages 1-28, November.
    3. Sunkuk Kim, 2021. "Technology and Management for Sustainable Buildings and Infrastructures," Sustainability, MDPI, vol. 13(16), pages 1-3, August.
    4. Bon-Gang Hwang & Ming Shan, 2018. "Management Strategies and Innovations: Important Roles to Sustainable Construction," Sustainability, MDPI, vol. 10(3), pages 1-3, February.
    5. Daeho Kim & Ankit Goyal & SangHyun Lee & Vineet R. Kamat & Meiyin Liu, 2024. "Single-Shot Visual Relationship Detection for the Accurate Identification of Contact-Driven Hazards in Sustainable Digitized Construction," Sustainability, MDPI, vol. 16(12), pages 1-16, June.
    6. Hyeon-Ju Shin & Hee-Sung Cha, 2023. "Proposing a Quality Inspection Process Model Using Advanced Technologies for the Transition to Smart Building Construction," Sustainability, MDPI, vol. 15(1), pages 1-21, January.
    7. Marta Gómez-Galán & José Pérez-Alonso & Ángel-Jesús Callejón-Ferre & Julián Sánchez-Hermosilla-López, 2018. "Assessment of Postural Load during Melon Cultivation in Mediterranean Greenhouses," Sustainability, MDPI, vol. 10(8), pages 1-33, August.
    8. Namhyuk Ham & Baek-Il Bae & Ok-Kyung Yuh, 2020. "Phased Reverse Engineering Framework for Sustainable Cultural Heritage Archives Using Laser Scanning and BIM: The Case of the Hwanggungwoo (Seoul, Korea)," Sustainability, MDPI, vol. 12(19), pages 1-23, October.
    9. Jieun Baek & Yosoon Choi, 2020. "Smart Glasses-Based Personnel Proximity Warning System for Improving Pedestrian Safety in Construction and Mining Sites," IJERPH, MDPI, vol. 17(4), pages 1-15, February.
    10. Danilo Monarca & Pierluigi Rossi & Riccardo Alemanno & Filippo Cossio & Paolo Nepa & Andrea Motroni & Roberto Gabbrielli & Marco Pirozzi & Carla Console & Massimo Cecchini, 2022. "Autonomous Vehicles Management in Agriculture with Bluetooth Low Energy (BLE) and Passive Radio Frequency Identification (RFID) for Obstacle Avoidance," Sustainability, MDPI, vol. 14(15), pages 1-13, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2290-:d:502648. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.