基于BIM和数据驱动的智能运维管理方法

胡振中; 冷烁; 袁爽

doi:10.16511/j.cnki.qhdxxb.2022.22.003

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清华大学学报（自然科学版） ›› 2022, Vol. 62 ›› Issue (2) : 199-207. DOI: 10.16511/j.cnki.qhdxxb.2022.22.003

专题：建设管理

基于BIM和数据驱动的智能运维管理方法

胡振中¹, 冷烁², 袁爽²

作者信息 +

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

HU Zhenzhong¹, LENG Shuo², YUAN Shuang²

Author information +

文章历史 +

摘要

建筑信息模型（BIM）的普及提升了建筑运维管理的效率。然而，基于BIM的智能运维仍在数据获取、管理与分析方面面临挑战。该文结合BIM和数据驱动技术，研究了智能运维管理的方法，包括：通过机电设备逻辑关系的自动生成，实现对运维BIM信息的扩充增强；通过提出数据立方模型，实现基于BIM的动态运维信息管理；以及结合聚类、频繁模式挖掘与神经网络等多种机器学习方法，实现对上述运维数据的挖掘分析，辅助智能运维决策。该研究成果有效地减少了运维人员工作负担、提高了运维数据价值，有助于提升运维管理智能化水平。

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.

导出引用

胡振中, 冷烁, 袁爽. 基于BIM和数据驱动的智能运维管理方法[J]. 清华大学学报（自然科学版）. 2022, 62(2): 199-207 https://doi.org/10.16511/j.cnki.qhdxxb.2022.22.003

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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基金

国家自然科学基金项目（51778336）；深圳市科技研发基金项目（WDZC20200819174646001）

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收稿日期	出版日期
2021-08-14	2022-02-15
发布日期
2022-01-22

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