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Issue title: Artificial Intelligent Techniques and its Applications
Guest editors: Mahalingam Sundhararajan, Xiao-Zhi Gao and Hamed Vahdat Nejad
Article type: Research Article
Authors: Zheng, Jiang; *
Affiliations: School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an, China
Correspondence: [*] Corresponding author. Jiang Zheng, School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China. E-mail: [email protected].
Abstract: After the reform and opening up, China’s construction industry has been growing at a high speed in the vigorous development with the development of the national economy, but it also has faced a huge challenge in recent years. Aiming at the problems in the traditional engineering construction, the use of the way of collaborative design is helpful for the communication and coordination for the participation of all parties. Therefore, the construction project collaborative design and construction collaboration platform based on cloud BIM platform was established, and applied to the construction application. In the construction project collaborative design platform based on cloud, the establishment of the model, the designer’s rights management, the task management, the knowledge management, the conflict detection and elimination as well as the function of the expansion of the six parts were included, and the work flow of corresponding collaborative design and the work flow of construction simulation were put forward, the cooperative work run through the whole process of the whole construction project. Finally, through the application of specific projects, it can be seen that the collaboration platform with the combination of cloud computing technology and BIM can improve the efficiency of the design and construction and the quality of the project.
Keywords: Cloud BIM, collaborative design, construction collaboration, collaborative mechanism, construction project
DOI: 10.3233/JIFS-169375
Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 2, pp. 819-829, 2018
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