Digital Twin Building Player for AI Inference
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Solution Overview
Problem
Building management systems face challenges in developing and deploying analytic and control algorithms that are time-consuming and lack flexibility, with output data being difficult for users to conceptualize in relation to physical building components.
Innovation Solution
A building system that utilizes a digital twin with artificial intelligence to generate inference values for future building states, providing a graphic representation of the building that includes selectable elements for historical and future times, and offers recommendations for reducing infectious disease spread by adjusting building operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional analytic and control algorithms are developed and deployed in building management systems, then building control functionality is achieved, but the development and deployment process becomes time-consuming and requires significant software development effort
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the building that replicates the physical building's structure, equipment, and operational parameters. This digital replica allows algorithms to be developed, tested, and deployed in the virtual environment before implementation in the physical building, significantly reducing development time and software engineering requirements.
Solution Approach 2:
The system performs preliminary actions by simulating and testing control algorithms in the digital twin environment before deploying them to the actual building. This advance preparation allows for validation and optimization of algorithms without requiring extensive on-site development time.
2Adaptability or versatility
If traditional analytic algorithms are used in building management systems, then building data analysis is performed, but the algorithms lack flexibility to adapt to changing circumstances in the building
Solution Approach 1:
The digital twin system is designed to be dynamic and adaptable, allowing the virtual model to update in real-time as building conditions change. The system can incorporate new data, adjust parameters, and modify algorithm behavior dynamically without requiring complex reconfiguration, enabling flexible adaptation to changing building circumstances.
Solution Approach 2:
The system implements continuous feedback loops where data from the physical building is fed into the digital twin, which then uses algorithms to generate recommendations that are monitored and adjusted based on actual building performance. This feedback mechanism enables the system to adapt to changing conditions automatically.
3Loss of information
If analytic algorithms generate building operation data, then building performance information is produced, but the output data becomes hard for users to conceptualize and relate to physical building components
Solution Approach 1:
The digital twin creates a visual and interactive copy of the physical building that maps analytical data directly to corresponding physical components and spaces. Users can view performance metrics overlaid on the virtual building model, making it intuitive to understand how data relates to actual building elements without requiring complex data interpretation.
Solution Approach 2:
The system transforms abstract analytical data into spatial and visual representations within the digital twin environment. By displaying performance information in the context of the building's three-dimensional structure and operational workflows, the system makes data more comprehensible and easier to relate to physical components.
Data Source
AI summary
A building system of a building operates to receive historical data values of the plurality of data points for a plurality of historical times, execute an artificial intelligence to generate a plurality of inference values of a data point for a plurality of future times based on the historical data values, generate user interface data causing a user device to display a graphic representation of the building including a selectable element providing selections of the plurality of historical times and the plurality of future times, receive a selection from the user device via the selectable element of a future time of the plurality of future times, and cause the user device to display the graphic representation of the building with a plurality of states based on the future data values.