Wang, Yifei (2016-04). The Utilization of Building Information Modeling in Computer-Controlled Automatic Construction: Case Study of a Six-Room Wooden House. Master's Thesis. Thesis uri icon


  • In the current context, Building Information Modeling (BIM) is belatedly providing the construction industry with a tool to reach higher levels of efficiency, quality and convenience. However, human errors in both management and construction job site control may cause a construction project to go over budget or behind schedule. Lastly, a construction project requires the collaboration of various parties to achieve the end goals of the various stakeholders. BIM provides one method of integrating the whole process of sharing information between those parties. Extensions to the current BIM methods may allow machines, such as construction robots to take over some of the human tasks. The aim of this study is to study future methods to reduce the human effort in construction and to improve the cost efficiency and quality for construction projects. In this thesis to look to integrate the construction processes of design, manufacture, shipment and installation and using data extracted from a BIM model, a conceptual computer-controlled, automatic construction process is developed for a pseudo robot. The pseudo robot is merely a development tool to look at the development of the conceptual phases for a real robot. Meanwhile, following the Plan-Do-Check-Action (PDCA) management cycle, the workflow of the process is designed in pseudocode. A case study of a six-room wooden house is used to illustrate the function of the automatic construction system and to verify that which information can be provided by BIM. Location control is identified in the study as the key criterion for attempting robotic construction. An object positioning solution of using a laser technique is suggested from this research. The results show that the program provides adequate information to allow the completion of the construction process. A two-level method is developed for accurate positioning of building components. Further research may focus on more complicated and special projects, more effective and accurate sensing and tracking technology.

publication date

  • May 2016