2017, 9(6): 22-27. doi: 10.16670/j.cnki.cn11-5823/tu.2017.06.04
基于机器学习的智慧BIM运维管理系统及BIM+MR的检修应用程序——以医院建筑为例
西南交通大学土木学院，成都 610000 |
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 |
引用本文:
李秉展, 罗紫萍, 龙丹冰. 基于机器学习的智慧BIM运维管理系统及BIM+MR的检修应用程序——以医院建筑为例[J]. 土木建筑工程信息技术,
2017, 9(6): 22-27.
doi: 10.16670/j.cnki.cn11-5823/tu.2017.06.04
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[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2017, 9(6): 22-27.
doi: 10.16670/j.cnki.cn11-5823/tu.2017.06.04
摘要:本研究以设备复杂的医院为载体，探索研究BIM技术在智能化运维检修中的应用。通过构建基于BIM和大数据的智慧运维管理平台，引入故障树分析(FTA)与贝叶斯概率模型的机器学习方法，以预测故障设备和故障概率，并能第一时间发出报警信号，提供快速回应的决策依据。在移动端中引入混合现实(MR)技术，对故障设备快速定位，提供基于故障概率的检修排序。
Abstract: 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). |
计量
- PDF下载量(57)
- 文章访问量(3133)
- HTML全文浏览量(1323)
