BIM-based, data-driven method for intelligent operation and maintenance
HU Zhenzhong1, LENG Shuo2, YUAN Shuang2
1. Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; 2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China
Abstract：Building information models (BIM) provide improved building operation and maintenance (O&M) efficiencies. However, BIM-based intelligent O&M still faces challenges related to data acquisition, integration and analysis. This paper combines BIM and data-driven techniques to develop a solution for intelligent O&M. This approach includes a method to identify upstream and downstream relationships among mechanical, electrical and plumbing (MEP) facilities to supplement the O&M information in BIM. A data cube model is then used to integrate the BIM and building information. Multiple data mining methods including clustering, frequent pattern discovery and neural networks are then used to analyze the O&M data and assist intelligent decision-making. This method reduces the O&M personnel workload, increases the O&M data value, and improves the intelligence level of the O&M management.
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2022, Vol. 62 
