Building Fault Visualization Using a Digital Twin Model
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Solution Overview
Problem
Existing building management systems face challenges in efficiently managing and visualizing data due to time-consuming algorithm development, lack of flexibility, and difficulty in relating output data to physical components, making it hard for users to conceptualize and adapt to changing building conditions.
Innovation Solution
A building management system that ingests asset information to create a graphical model with fault indicators, allowing users to navigate and visualize faults within the building, and includes intelligent fault visualization to identify and manage multiple faults based on cost, criticality, and duration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If analytic and control algorithms are developed and deployed to control building equipment, then building system control capability is improved, but development time and software development resources increase significantly
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the building that replicates the physical building's structure, equipment, and operational data. This digital replica allows for algorithm development, testing, and control operations to be performed in the virtual environment, eliminating the need for extensive real-world software development and deployment time while maintaining control capability.
2Reliability
If analytic and control algorithms are deployed to control building equipment, then building system control capability is improved, but flexibility to adapt to changing circumstances decreases
Solution Approach 1:
The digital twin system is dynamically updateable, allowing the virtual model to adapt to changing building conditions, equipment configurations, and operational requirements. The system can be modified and reconfigured without redeploying physical equipment or rewriting control algorithms, providing flexibility while maintaining control capability.
Solution Approach 2:
The digital twin serves multiple functions including monitoring, analysis, control, and predictive maintenance. A single virtual model can be used for various control scenarios and adapt to different building conditions, providing both reliability and flexibility through multi-functionality.
3Reliability
If building data is stored and processed to generate control outputs, then building system control capability is improved, but ease of conceptualizing output data in relation to physical components decreases
Solution Approach 1:
The digital twin creates a visual replica of the physical building that maintains spatial and structural relationships. Control outputs and analytical data are displayed within this visual context, allowing users to easily conceptualize data in relation to actual physical components and their locations within the building.
Data Source
AI summary
A building management system including one or more storage devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to ingest asset information; cause a graphical model of the building to include a fault indicator based on the asset information, the fault indicator corresponding to a fault occurring on a first physical asset corresponding to a first virtual asset; cause a display device of a user device to display the graphical model within a user interface; receive a selection of the fault indicator from a user via the user interface; and in response to receiving the selection, cause the user interface to navigate to a fault-driven view of the graphical model depicting the first virtual asset and one or more second virtual assets corresponding to one or more second physical assets affected by the fault occurring on the first physical asset.