Artificial intelligence-driven digital twin of a modern house
demonstrated in virtual reality
- URL: http://arxiv.org/abs/2212.07102v1
- Date: Wed, 14 Dec 2022 08:48:37 GMT
- Title: Artificial intelligence-driven digital twin of a modern house
demonstrated in virtual reality
- Authors: Elias Mohammed Elfarri and Adil Rasheed and Omer San
- Abstract summary: A digital twin is a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision-making.
Recently, the concept of capability level has been introduced to address this issue.
Based on its capability, the concept states that a digital twin can be categorized on a scale from zero to five, referred to as standalone, descriptive, diagnostic, predictive, prescriptive, and autonomous, respectively.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: A digital twin is defined as a virtual representation of a physical asset
enabled through data and simulators for real-time prediction, optimization,
monitoring, controlling, and improved decision-making. Unfortunately, the term
remains vague and says little about its capability. Recently, the concept of
capability level has been introduced to address this issue. Based on its
capability, the concept states that a digital twin can be categorized on a
scale from zero to five, referred to as standalone, descriptive, diagnostic,
predictive, prescriptive, and autonomous, respectively. The current work
introduces the concept in the context of the built environment. It demonstrates
the concept by using a modern house as a use case. The house is equipped with
an array of sensors that collect timeseries data regarding the internal state
of the house. Together with physics-based and data-driven models, these data
are used to develop digital twins at different capability levels demonstrated
in virtual reality. The work, in addition to presenting a blueprint for
developing digital twins, also provided future research directions to enhance
the technology.
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