Digital Twin Building Model for Algorithm Deployment
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Solution Overview
Problem
Current building systems face challenges in developing and deploying analytic and control algorithms that are time-consuming and lack flexibility, making it difficult to adapt to changing conditions, and users struggle to conceptualize output data related to physical building components.
Innovation Solution
A building system that employs an artificial intelligence (AI) agent based on a digital twin, generating inferences or predictions, and displaying them in a graphical model, including three-dimensional building models, to provide actionable insights and adapt to changing circumstances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional analytic and control algorithms are used, then the building system can process data, but the development and deployment are time-consuming and require significant software development
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the building that mirrors the physical building's structure, equipment, and data. This digital replica enables algorithm development and testing in the virtual environment before deployment to the physical building, significantly reducing software development time and accelerating productivity while maintaining system accuracy through the copied building model.
2Adaptability or versatility
If traditional analytic algorithms are used, then data processing is possible, but the system lacks flexibility to adapt to changing circumstances
Solution Approach 1:
The digital twin system implements dynamic adaptability by continuously updating the virtual building model with real-time data from sensors and building systems. The system can dynamically adjust algorithms and parameters in response to changing conditions (occupancy, weather, equipment status) without requiring complex manual reconfiguration, as the digital twin automatically reflects current building states and enables flexible scenario testing.
3Loss of information
If analytic algorithms generate output data, then building insights are produced, but the output 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 comprehension. It visualizes algorithm outputs in the context of the virtual building model, allowing users to see insights (energy consumption, equipment status, occupancy patterns) overlaid on familiar spatial representations. This intermediary translation layer converts abstract data into intuitive visual information that easily relates to physical building components.
4Reliability
If detailed building data is stored and analyzed, then comprehensive insights are generated, but the system complexity increases
Solution Approach 1:
The patent segments the building system into discrete digital components within the digital twin (individual equipment, zones, systems). Each segment can be independently modeled, analyzed, and updated. This segmentation allows comprehensive data collection and analysis for high reliability while managing complexity through modular organization, where each segment's complexity is contained and can be developed independently before integration into the whole building model.
Data Source
AI summary
A building system operates to execute the service based on data of a building to generate an inference or a prediction of a condition of a building, store the inference or the prediction, or a link to the inference or the prediction, in the one or more data storage elements of a knowledge graph, the knowledge graph including representations of entities of the building, relationships between the entities of the building, and one or more storage elements storing or linking the operational data, query the knowledge graph to retrieve the inference or the prediction from the knowledge graph, update, responsive to the query, a graphical model of the building including graphical representations of the entities to include the inference or the prediction, and cause a display device of a user device to display the updated graphical model.