A framework for proactive construction defect management using BIM, augmented reality and ontology-based data collection template
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
A Linked Data System Framework for Sharing Construction Defect Information using Ontologies and BIM EnvironmentsDo-Yeop Lee; Chi, Hung-Lin; Jun Wang; Xiangyu Wang; Chan-Sik Park (2016)Defect data contains knowledge about specific work conditions. In order to prevent reoccurrence of defects, a data feedback mechanism is required. However, most defect data are stored in unstructured ways, resulting in ...
Nimmagadda, Shastri; Reiners, Torsten; Rudra, Amit (2017)We use the Big Data paradigm, as a driving mechanism of an integrated research framework. As a case study, we consider analysing various ecological systems and their connectivity in the framework. An unknown coexistence ...
Wang, J.; Sun, W.; Shou, W.; Wang, X.; Wu, Changzhi; Chong, Heap Yih; Liu, Yang; Sun, C. (2014)© 2014, Springer Science+Business Media Dordrecht. 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. ...