Digital Twins are becoming increasingly popular to support Facility Management. However, the visual interface for most digital tins consists either of 3D models or sets of graphs. These frequently do not showcase the most critical information in a clear and concise manner. In order to improve visualization in this context, this paper develops a design framework informed by the user interface/user experience and universal design literature as well as the five principles of user experience and user interface design: scale, visual hierarchy, balance, contrast, and gestalt theory. The resultant framework is then applied to develop a dashboard for a digital twin of a multi-use lab, classroom, office, and residential building. The research methodology consisted of four key steps: 1) identification of key performance indicators necessary; 2) developing a data streaming, analysis, and processing strategy; 3) conceptual dashboard creation using the web-based application Figma; and 4) integration of queries, real-time updates, and navigation to refine the dashboard. Both the refined dashboard and a framework to guide other digital twin dashboard development are presented herein.

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Guidelines for Designing a Facility Management Digital Twin Dashboard

  • Andrea Mata,
  • Karim El Mokhtari,
  • J. J. McArthur

摘要

Digital Twins are becoming increasingly popular to support Facility Management. However, the visual interface for most digital tins consists either of 3D models or sets of graphs. These frequently do not showcase the most critical information in a clear and concise manner. In order to improve visualization in this context, this paper develops a design framework informed by the user interface/user experience and universal design literature as well as the five principles of user experience and user interface design: scale, visual hierarchy, balance, contrast, and gestalt theory. The resultant framework is then applied to develop a dashboard for a digital twin of a multi-use lab, classroom, office, and residential building. The research methodology consisted of four key steps: 1) identification of key performance indicators necessary; 2) developing a data streaming, analysis, and processing strategy; 3) conceptual dashboard creation using the web-based application Figma; and 4) integration of queries, real-time updates, and navigation to refine the dashboard. Both the refined dashboard and a framework to guide other digital twin dashboard development are presented herein.