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.
Highlights
The construction industry has devoted significant efforts toward sustainable construction by utilizing automation and vision technologies [1,2]
Construction progress monitoring has been leveraged to increase accuracy and time efficiency [3,4]. This includes measuring the progress through site assessments and comparisons with the project plan; in these methods, the quality of progress data completely depends on the expertise of inspection and the measurement quality [5]
This study aims to minimize the gap between job sites and construction offices by developing a system that can realize work inspection and quality assessment of data in near real-time for indoor activities
Summary
The construction industry has devoted significant efforts toward sustainable construction by utilizing automation and vision technologies [1,2]. Construction progress monitoring has been leveraged to increase accuracy and time efficiency [3,4]. This includes measuring the progress through site assessments and comparisons with the project plan; in these methods, the quality of progress data completely depends on the expertise of inspection and the measurement quality [5]. Manual visual observations and conventional progress tracking can be used to provide feedback on progress measurement [3], productivity rate [5], tracking devices and materials [6], and safety planning [7]. Work inspection engineers typically adhere to guidelines provided by construction quality control institutes like the International. One of the primary aims of inspection is to evaluate dimensional (dimension and position) errors and surface defects (cracks and spalling) in activities involving concrete columns and HVAC pipes [8]
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