Integrating BIM and LiDAR for Real-Time Construction Quality Control

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• 作者：Jun Wang ; Weizhuo Sun ; Wenchi Shou…
• 关键词：BIM ; LiDAR ; Quadrotor ; Quality control ; Defect detection
• 刊名：Journal of Intelligent and Robotic Systems
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：79
• 期：3-4
• 页码：417-432
• 全文大小：4,294 KB
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• 作者单位：Jun Wang (1)
  Weizhuo Sun (2)
  Wenchi Shou (1)
  Xiangyu Wang (3) (4)
  Changzhi Wu (1)
  Heap-Yih Chong (1)
  Yan Liu (5)
  Cenfei Sun (5)
  
  1. Australasian Joint Research Centre for Building Information Modelling (BIM), Curtin University, Curtin, Australia
  2. College of Management of Economics, Tianjin University, Tianjin, China
  3. Curtin-Woodside Chair Professor for Oil, Gas & LNG Construction and Project Management and Co-Director of Australasian Joint Research Centre for Building Information Modelling (BIM), Curtin University, Curtin, Australia
  4. International Scholar, Department of Housing and Interior Design, Kyung Hee University, Kyung Hee, South Korea
  5. School of Construction Management and Real Estate, Chongqing University, Chongqing, China
  
• 刊物类别：Engineering
• 刊物主题：Automation and Robotics
  Electronic and Computer Engineering
  Artificial Intelligence and Robotics
  Mechanical Engineering
  
• 出版者：Springer Netherlands
• ISSN：1573-0409

文摘

In the construction process, real-time quality control and early defects detection are still the most significant approach to reducing project schedule and cost overrun. Current approaches for quality control on construction sites are time-consuming and ineffective since they only provide data at specific locations and times to represent the work in place, which limit a quality manager’s abilities to easily identify and manage defects. The purpose of this paper is to develop an integrated system of Building Information Modelling (BIM) and Light Detection and Ranging (LiDAR) to come up with real-time onsite quality information collecting and processing for construction quality control. Three major research activities were carried out systematically, namely, literature review and investigation, system development and system evaluation. The proposed BIM and LiDAR-based construction quality control system were discussed in five sections: LiDAR-based real-time tracking system, BIM-based real-time checking system, quality control system, point cloud coordinate transformation system, and data processing system. Then, the system prototype was developed for demonstrating the functions of flight path control and real-time construction quality deviation analysis. Finally, three case studies or pilot projects were selected to evaluate the developed system. The results show that the system is able to efficiently identify potential construction defects and support real-time quality control. Keywords BIM LiDAR Quadrotor Quality control Defect detection