Automated continuous construction progress monitoring using multiple workplace real time 3D scans

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.

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UAV Obstacle Avoidance Algorithm to Navigate in Dynamic Building Environments

Drones ◽

10.3390/drones6010016 ◽

2022 ◽

Vol 6 (1) ◽

pp. 16

Author(s):

Enrique Aldao ◽

Luis M. González-deSantos ◽

Humberto Michinel ◽

Higinio González-Jorge

Keyword(s):

Real Time ◽

Collision Avoidance ◽

Obstacle Avoidance ◽

Autonomous Navigation ◽

Point Cloud ◽

Progress Monitoring ◽

Flight Trajectory ◽

Moving Obstacles ◽

Current Implementation ◽

Construction Progress Monitoring

In this work, a real-time collision avoidance algorithm was presented for autonomous navigation in the presence of fixed and moving obstacles in building environments. The current implementation is designed for autonomous navigation between waypoints of a predefined flight trajectory that would be performed by an UAV during tasks such as inspections or construction progress monitoring. It uses a simplified geometry generated from a point cloud of the scenario. In addition, it also employs information from 3D sensors to detect and position obstacles such as people or other UAVs, which are not registered in the original cloud. If an obstacle is detected, the algorithm estimates its motion and computes an evasion path considering the geometry of the environment. The method has been successfully tested in different scenarios, offering robust results in all avoidance maneuvers. Execution times were measured, demonstrating that the algorithm is computationally feasible to be implemented onboard an UAV.

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Real-Time Brick Counting for Construction Progress Monitoring

Computing in Civil Engineering ◽

10.1061/9780784413029.102 ◽

2013 ◽

Cited By ~ 1

Author(s):

L. Hui ◽

I. Brilakis

Keyword(s):

Real Time ◽

Progress Monitoring ◽

Construction Progress Monitoring

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Digital twin-based progress monitoring management model through reality capture to extended reality technologies (DRX)

Smart and Sustainable Built Environment ◽

10.1108/sasbe-01-2021-0016 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sepehr Alizadehsalehi ◽

Ibrahim Yitmen

Keyword(s):

Real Time ◽

Structural Equation ◽

Progress Monitoring ◽

Positive Impact ◽

Equation Modeling ◽

Online Data ◽

Content Type ◽

Digital Twin ◽

Research Findings ◽

Construction Progress Monitoring

PurposeThe purpose of this research is to develop a generic framework of a digital twin (DT)-based automated construction progress monitoring through reality capture to extended reality (RC-to-XR).Design/methodology/approachIDEF0 data modeling method has been designed to establish an integration of reality capturing technologies by using BIM, DTs and XR for automated construction progress monitoring. Structural equation modeling (SEM) method has been used to test the proposed hypotheses and develop the skill model to examine the reliability, validity and contribution of the framework to understand the DRX model's effectiveness if implemented in real practice.FindingsThe research findings validate the positive impact and importance of utilizing technology integration in a logical framework such as DRX, which provides trustable, real-time, transparent and digital construction progress monitoring.Practical implicationsDRX system captures accurate, real-time and comprehensive data at construction stage, analyses data and information precisely and quickly, visualizes information and reports in a real scale environment, facilitates information flows and communication, learns from itself, historical data and accessible online data to predict future actions, provides semantic and digitalize construction information with analytical capabilities and optimizes decision-making process.Originality/valueThe research presents a framework of an automated construction progress monitoring system that integrates BIM, various reality capturing technologies, DT and XR technologies (VR, AR and MR), arraying the steps on how these technologies work collaboratively to create, capture, generate, analyze, manage and visualize construction progress data, information and reports.

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