Abstract

Hospital buildings usually contain sophisticated facility systems and special medical equipment, strict security requirements, and business systems. Traditional methods such as BIM are becoming less capable of real‐time updates of building status and big data volume. By proposing innovations both in technique and management—a “continuous lifecycle integration” method based on the concept of Digital Twin (DT) and “early movement” of the general contractor, this paper reported a successful project case in a large hospital in China. The case realized continuous, scheduled integration of static data and dynamic data of more than 20 management systems from the design, construction, pre‐O&M phase up to the O&M phase. Then, a DT software system with real‐time visual management and artificial intelligent diagnosis modules was developed and deployed in a newly built DT control center. Managers have the ability to grasp the detailed status of the whole hospital by visual management and receive timely facility diagnosis and operation suggestions that are automatically sent back from the digital building to reality. The case has been steadily running for more than a year in the hospital and achieved desired performance by reducing energy consumption, avoiding facility faults, reducing the number of requested repairs, and enhancing the quality of daily maintenance work.

Highlights

  • As the increasing volume or complexity of newly constructed building projects, daily management efficiency, and operational safety issues are becoming more important than ever

  • (3) More than 10% of facility faults and requested repairs were avoided by Digital Twin (DT) diagnosis

  • The exemplary case was conducted in Shanghai, China, the “continuous lifecycle integration” concept is not limited to countries or regions

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Summary

Introduction

As the increasing volume or complexity of newly constructed building projects, daily management efficiency, and operational safety issues are becoming more important than ever. Erefore, advanced data analysis effort is required in the form of timely decision-making suggestions To address these problems, a relatively new concept—Digital Twin (DT)—has been borrowed from the manufacturing industry. One of the main contributions of this paper is the continuous integration and manipulation method of device data through the whole lifecycle, which has addressed the second concern. To analyze these data and feedback useful information back to reality, diagnosis functions should be tightly integrated into DT management systems.

Case Background and Methodology
DT System Development
Design phase
Correction from users and retrain
Hospital Visual Management
Findings
Intelligent Diagnosis for Hospital Optimization
Full Text
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