摘要
以深圳某三级甲等医院为例,提出了以数字孪生模型为依托,利用BM(建筑信息模型)、HDFS(分布式数据存储)、ETL(抽取、转换、加载)等技术构建医院建筑孪生系统,并进行大数据分析的解决方案,实现了后勤管理的数据统一与跨系统互联。通过对设备运维、安防管理与人员调度安排的优化,提升了医院后勤运维的效率与精度。实践证明,该数字孪生系统显著提高了医院后勤管理的智能化水平和决策支持能力,有效降低了运维成本。
Taking a grade-A tertiary hospital in Shenzhen as an example,this paper proposes a solution that leverages a digital twin model and integrates technologies such as BIM,HDFS,and ETL to construct a hospital architecture digital twin system and conduct big data analysis.This approach achieves data unification and cross-system connectivity in logistics management.By optimizing equipment maintenance,security management,and personnel scheduling,the system improves the efficiency and accuracy of hospital logistics operations.Practice has demonstrated that this digital twin system significantly enhances the intelligence and decision-making capabilities of hospital logistics management,while effectively reducing operational and maintenance costs.
作者
张淳毅
许璟琳
余芳强
ZHANG Chunyi;XU Jinglin;YU Fangqiang
出处
《中国医院建筑与装备》
2025年第4期11-16,共6页
Chinese Hospital Architecture & Equipment
关键词
医院建筑
数字孪生
智慧运维
大数据分析
Hospital buildings
Digital twin
Intelligent operation and maintenance
Big data analysis
