BIM-based, data-driven method for intelligent operation and maintenance

HU Zhenzhong; LENG Shuo; YUAN Shuang

doi:10.16511/j.cnki.qhdxxb.2022.22.003

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Journal of Tsinghua University(Science and Technology) ›› 2022, Vol. 62 ›› Issue (2) : 199-207. DOI: 10.16511/j.cnki.qhdxxb.2022.22.003

SPECIAL SECTION:CONSTRUCTION MANAGEMENT

BIM-based, data-driven method for intelligent operation and maintenance

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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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operation and maintenance management / building information model (BIM) / data-driven / intelligent buildings / data mining

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HU Zhenzhong, LENG Shuo, YUAN Shuang. BIM-based, data-driven method for intelligent operation and maintenance[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(2): 199-207 https://doi.org/10.16511/j.cnki.qhdxxb.2022.22.003

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