Building Digital Twin Rules for Adaptive Equipment Control
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Solution Overview
Problem
Existing building control algorithms are time-consuming to develop and lack flexibility to adapt to changing circumstances, requiring significant software development and failing to efficiently manage and process building data.
Innovation Solution
A building system that includes a digital twin with a data structure storing information, executing learning algorithms to construct trigger and action rules, and operating devices based on these rules to adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional control algorithms are used to manage building equipment, then the building system can operate with established control logic, but the development process is time-consuming and requires significant software development effort
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the building system that mirrors the physical building's data structure, equipment, and operations. This digital replica allows control algorithms to be developed, tested, and refined in the virtual environment without affecting the actual building, significantly reducing development time while maintaining reliability through iterative validation.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the digital twin with anticipated control scenarios and algorithms before they are needed in the physical building. Control logic can be prepared and validated in advance in the digital environment, allowing for faster deployment and reducing on-site development time.
2Stability of the object's composition
If traditional control algorithms are used, then the building system can maintain stable operation, but the algorithms lack flexibility to adapt to changing circumstances in the building
Solution Approach 1:
The digital twin system enables dynamic control by allowing control algorithms to be continuously updated and refined in the virtual environment based on simulated changing conditions. The digital twin mirrors the physical building's real-time data, enabling the system to adapt control strategies dynamically while maintaining stability through virtual validation before implementation.
Solution Approach 2:
The system implements feedback loops where control algorithm performance is continuously monitored in the digital twin environment. Results from virtual simulations feed back into algorithm refinement, allowing the system to learn from simulated changing conditions and improve adaptability while maintaining stable operation through iterative validation.
3Manufacturing precision
If manual software development is used for control algorithms, then the system can achieve precise control logic, but the process requires significant software development effort and resources
Solution Approach 1:
By creating a digital twin copy of the building system, the patent eliminates the need for extensive manual software development in the physical environment. Control algorithms can be precisely configured and validated in the digital replica, reducing software development complexity while maintaining control logic precision through virtual testing and refinement.
Solution Approach 2:
The digital twin system enables self-service configuration of control algorithms through automated data mapping and virtual validation. The system can automatically generate control logic based on the mirrored data structure and simulate performance, reducing the need for manual software development effort while maintaining precise control through automated optimization.
Data Source
AI summary
A building system including one or more storage devices storing instructions thereon that, when executed cause the one or more processors to store a data structure of a digital twin of an entity of a building, execute a learning algorithm to construct a trigger rule and an action rule as an input to the learning algorithm, store the trigger rule and the action rule in the digital twin, determine that the trigger rule of the digital twin is triggered by comparing at least some of the information of the data structure against one or more conditions of the trigger rule by querying the data structure for data values and comparing the data values against the one or more conditions of the trigger rule, determine an action of the action rule of the digital twin responsive to determining that the trigger rule is triggered by executing the action rule, and cause one or more devices to operate based on the action determined by the action rule.