Initially it was known as a Mirrored Spaces Model. His idea was the real space and virtual space worlds would be linked throughout the lifecycle of the system. The digital twin concept was first noted in 2002 by Michael Grieves at the University of Michigan as part of Product Lifecycle Management (PLM). Digital twins build the bridge between the physical and digital worlds to allow for data to flow in real time or near-real time, so the data becomes alive. The data about the buildings has been stored in static documentation formats such as paper or computer files. All the data about the building and its performance was directly contained within the building. Historically, the only way to gain knowledge of buildings was to have direct physical contact with the building itself. Gartner placed digital twins at the top of their Hype Cycle for Emerging Technologies in 2018 with a forecasted peak in 5 to 10 years. The number of organizations using digital twins will triple by 2022. Within the next few years there will be over 20 billion connected sensors and potentially billions of connected objects. With the increase of the available IoT sensors and the desire for more data from assets for verifying performance, digital twins have become more common. It has not been used widely within the AEC industry until very recently. This has been used extensively for prototyping new products, and verifying production line performance, and the performance of physical objects and systems. The AEC industry is slowly catching up with the aerospace and manufacturing industries when it comes to digital twins. "Digital twin is a set of virtual information constructs that fully describes a potential or actual physical manufactured product from the micro atomic level to the macro geometrical level." -Michael Grievers
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Learn how to bring MEP models to life as digital twins, comply with client needs, and make the built environment more sustainable. Also, we will show how to visualize IoT live data with BI dashboards to increase awareness of how people use buildings and to enhance the maintenance process of buildings. This article provides a general introduction to the digital twin. We also discuss the process of converting MEP models to digital twins using Internet of Things (IoT) devices-specifically, how to connect MEP models and sensors together using cloud technology, Dynamo, and Revit 2020 software. How can we use MEP models after project handover to enhance the operation of buildings along their lifecycles? MEP models and point cloud scans are more accessible toward more-affordable sensors. These are powerful and can enable building owners to create smart buildings and operate with less. As MEP design processes become more intelligent, digital twins are now feasible to reach and have many advantages ahead. The AEC industry is heading toward Industry 4.0 and digital twins are a trend.