Citation:
Li Bingzhan, Luo Ziping, Long Danbing. Intelligent BIM Maintenance System and BIM+MR Troubleshooting Application based on Mechanized Learning——Through a Case Study of Hospital Building. Journal of Information Technologyin Civil Engineering and Architecture,
2017, 9(6): 22-27.
doi: 10.16670/j.cnki.cn11-5823/tu.2017.06.04
2017, 9(6): 22-27. doi: 10.16670/j.cnki.cn11-5823/tu.2017.06.04
Intelligent BIM Maintenance System and BIM+MR Troubleshooting Application based on Mechanized Learning——Through a Case Study of Hospital Building
College of Civil Engineering, Southwest JiaotongUniversity, Chengdu 610000, China |
This study focus on the application of BIM in intelligent operation and maintenance and uses a hospital as case study.An intelligent building operation and maintenance system is developed based on the BIM and big data. By using the mechanized learning method like fault tree analysis and bayesian probability, the system is able to predict the broken equipment and the fault rate of each element, and meanwhile, to send alerts at the first time for the evidence of quick decisions.In the apps on the mobile ends, the mixed reality technology is introduced for a quickly locating of the fault equipments, which provides troubleshooting ordering based on probability of failure.
| [1] |
Leu, S. S., & Chang, C. M. (2013)Bayesian-network-based safety risk assessment for steel construction projects. Accident Analysis & Prevention, Volume 54. |
| [2] | |
| [3] |
Tzu-Ping Lo, Sy-JyeGuo, and Chin-Te Chen(2011)"Application of the exponential grey model on the maintenance cost prediction for a large scale hospital[J]. "International Journal of Strategic Property Management, Volume 15(4): 379-392(SCI). |
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