A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template

Abstract

In construction process, defects occur inevitably and repeatedly. It is one of the primary causes of project schedule and cost overruns. Many studies on defect causation analysis and management system have been conducted to facilitate defect measures and rectifications as well as to reduce the reoccurrence of the defect. However, those studies did not sufficiently consider the relationship of defect information flow in the construction process, which resulted in reactive rather than proactive defect management plan. This paper investigates the issues and needs of current defect management practices in the construction industry. It also presents a conceptual system framework for construction defect management that integrates ontology and augmented reality (AR) with building information modeling (BIM). The following three main technical solutions are proposed in the system framework: 1) defect data collection template to assure data quality and accuracy; 2) defect domain ontology to search and retrieve project or work-specific defect information; and 3) AR-based Defect Inspection System to support field defect management. It is envisaged that the system framework and solutions could enable proactive reduction of the defect occurrence during the construction process and that could greatly improve current defect management practices in the construction industry.