Asen, Yoosef (2012) Building Information Modeling Based Integration and Visualization for Facilities Management. Masters thesis, Concordia University.
Asen_MASc_F2012.pdf - Accepted Version
Facilities managers need to identify and understand deterioration/failure causes-effect patterns in order to prepare preventive maintenance plans. However, this task is difficult because of the complex interaction between different building components and their operational conditions. In spite of the availability of advanced Computerized Maintenance Management Systems (CMMSs), these systems focus on the data management aspects (i.e. asset inventory, work orders and resource management) and lack the functions necessary to analyze the collected data in order to identify deterioration/failure patterns. Standardization based on Building Information Modeling (BIM) provides new opportunities to improve the efficiency of Facilities Management (FM) by sharing and exchanging building information between different applications throughout the lifecycle of the facilities. This research proposes the integration of FM related data from different sources such as CMMS and BIM through adding the CMMS inspection and maintenance data to the BIM database. This integration, in addition to defined logical and spatial relationships between components and spaces, is used to find the cause-effect relationships through a BIM-based visual analytics. This method facilitates heuristic problem solving and helps to increase the quality of O&M phase. It is also proposed to integrate CMMS, BIM, video, and Real Time Location System (RTLS) data using Augmented Reality (AR) techniques to visualize construction and renovation operations and to retrieve information about the time, space, and related activities to visualize construction and renovation operations. Several case studies are implemented and tested to show the feasibility of the proposed methods.
|Divisions:||Concordia University > Faculty of Engineering and Computer Science > Building, Civil and Environmental Engineering|
|Item Type:||Thesis (Masters)|
|Degree Name:||M.A. Sc.|
|Thesis Supervisor(s):||Hammad, Amin|
|Deposited By:||YOOSEF ASEN|
|Deposited On:||24 Oct 2012 14:19|
|Last Modified:||05 Nov 2016 02:15|
Repository Staff Only: item control page