While there is much debate around the exact definition, there are two key features of every digital twin (as outlined in the Gemini Principles) – firstly, they must be connected to their physical counterpart and, secondly, this connection must be made through real-time data generated via systems or assets.
Digital twins are nothing new, they’ve existed for decades, but they’re now more relevant than ever as organisations are looking to reap the benefits of using this technology across different industries.
On its smallest scale, a digital twin is able to mirror specific materials and chemical reactions while a more ambitious use of a twin could see it monitor the activities of an entire city.
Digital twins link to their physical twins via sensors connected to the systems or assets within it. In the built environment, a fully co-ordinated 3D digital model is created during the construction process. Once a project is completed, a model is handed over to the building owners or developers - often never to be used again.
Twinview allows building owners and operators to utilise this data by providing real-time analytical insights from connected assets, sensors and systems in an operational building.
This can be viewed in a 3D model, on 2D sheets or via a reporting dashboard.
Grant us real-time insights into asset performance. In just a few clicks, Twinview can connect real-time IoT data streams to any applicable assets so that you can monitor and optimise asset performance.
As the widespread adoption of digital twin technology continues to gather pace, it is becoming increasingly important for those in the built environment to get ahead of the trend and build their processes around their use of a digital twin.