Building Digital Twin Virtual Indicators for Interpretable Analytics
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Solution Overview
Problem
Current building management systems face challenges in developing and deploying analytic and control algorithms that are time-consuming, lack flexibility, and struggle to present complex data in a user-friendly manner, making it difficult for users to understand and relate output data to physical building components.
Innovation Solution
A building system that utilizes a digital twin, a virtual representation of the building, to store and process data, including a virtual indicator related to building entities, generating recommendations for updating operating settings and displaying graphical representations of data points like air quality and infectious disease spread, using artificial intelligence to simulate airflow and predict potential infections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional building management systems are used to store and process building data, then data can be stored in a database, but the development and deployment of analytic and control algorithms are time-consuming and require significant software development
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the building that includes pre-configured analytic and control algorithms. This virtual replica allows algorithms to be developed, tested, and deployed in the digital domain before being applied to physical building systems, dramatically reducing software development time and enabling rapid iteration without affecting actual building operations.
Solution Approach 2:
The digital twin environment enables preliminary development and testing of analytic and control algorithms before deployment to physical building systems. Algorithms can be configured, validated, and optimized in advance within the virtual model, allowing for thorough preparation and reducing the time required for actual implementation and deployment to production systems.
2Adaptability or versatility
If traditional building management systems are used, then control algorithms can be implemented, but they lack flexibility to adapt to changing circumstances in the building
Solution Approach 1:
The digital twin system enables dynamic adaptation of control algorithms to changing building conditions. The virtual model can be continuously updated with real-time data from sensors and building systems, allowing algorithms to learn from new information and adjust their behavior dynamically. This creates a flexible system that can adapt to changing circumstances without requiring complex reconfiguration of the physical control infrastructure.
3Ease of operation
If analytic and control algorithms are used to process building data, then building equipment can be controlled, but the output data is hard for users to conceptualize and relate to physical components
Solution Approach 1:
The digital twin serves as an intermediary between raw building data and user understanding. It transforms complex analytic outputs into visual representations that map directly to physical building components and spaces. Users can interact with the virtual model to see how data relates to actual equipment and environments, bridging the gap between abstract analytics and tangible building elements through an intuitive visual interface.
Data Source
AI summary
A building system of a building operates to store a digital twin of the building in the one or more storage devices, wherein a virtual indicator is related to an entity of the building by the digital twin. The building system operates to receive telemetry data for a piece of building equipment of the building for the data point, generate the virtual indicator from the telemetry data, and cause a graphic representation of the building to display the virtual indicator within the graphic representation of the building.