Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Remote Indoor Construction Progress Monitoring Using Extended Reality

Version 1 : Received: 20 November 2020 / Approved: 23 November 2020 / Online: 23 November 2020 (14:03:47 CET)

A peer-reviewed article of this Preprint also exists.

Khairadeen Ali, A.; Lee, O.J.; Lee, D.; Park, C. Remote Indoor Construction Progress Monitoring Using Extended Reality. Sustainability 2021, 13, 2290. Khairadeen Ali, A.; Lee, O.J.; Lee, D.; Park, C. Remote Indoor Construction Progress Monitoring Using Extended Reality. Sustainability 2021, 13, 2290.

Abstract

Despite recent developments in monitoring and visualizing construction progress, the data exchange between construction jobsite and office lacks automation and real-time recording. 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. iVR comprises five modules: iVR-location finder (finding laser scanner located in the construction site) iVR-scan (capture point cloud data of jobsite 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 jobsite using augmented reality). An experimental lab test is conducted to validate the applicability of iVR process; it successfully exchanges required information between construction jobsite 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.

Keywords

virtual reality; point cloud data; building information modeling; work inspection; progress monitoring; quality assurance inspection.)

Subject

Engineering, Automotive Engineering

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