Digital Twin Building Models for Faster Building Commissioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The initial commissioning of new buildings and spaces is time-intensive and costly, and existing technologies struggle to efficiently generate digital representations of buildings, configure devices, and commission systems automatically.
Innovation Solution
A method and system for visualizing building models by retrieving identifiers from digital representations, converting them into graphical representations, and rendering them on display devices, along with a smart configuration and commissioning system that automates the process of generating and deploying digital representations of buildings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual commissioning and configuration methods are used for new buildings and spaces, then the process can be completed with existing technology, but the process is time-intensive and costly
Solution Approach 1:
The patent creates digital twins (virtual copies) of physical building assets including spaces, equipment, and systems. These digital representations replicate the physical assets' characteristics, behaviors, and relationships, enabling virtual commissioning, testing, and configuration before physical deployment, thereby reducing on-site commissioning time and costs
Solution Approach 2:
The system performs preliminary commissioning activities in the digital domain before physical installation. Digital twins allow configuration, simulation, and validation of building systems virtually, so that when physical assets are installed, they are already pre-configured and ready for operation, eliminating time-intensive manual commissioning
2Measurement precision
If digital representations are generated manually, then accuracy can be maintained, but the process remains labor-intensive and slow
Solution Approach 1:
The patent replaces manual mechanical processes of creating digital models with automated systems that use sensors, building management system data, and algorithms to generate digital twins automatically. This substitution of manual labor with automated data collection and processing maintains accuracy while dramatically increasing productivity
Solution Approach 2:
The system enables digital twins to self-generate and self-update by automatically collecting data from building systems, sensors, and operational data sources. The digital representations continuously synchronize with physical assets without manual intervention, maintaining accuracy while eliminating labor-intensive model creation and updates
3Loss of information
If comprehensive building data is collected and processed, then complete digital models can be created, but system complexity increases
Solution Approach 1:
The patent segments building data into distinct categories and layers including spatial data, equipment data, system operational data, and maintenance data. Digital twins are organized hierarchically from building-level to asset-level representations, allowing comprehensive data collection while managing complexity through structured segmentation and modular organization
Data Source
AI summary
A method for visualizing a building model comprises retrieving an identifier associated with a digital representation of a building asset from a digital representation representing at least a portion of a building, retrieving, using the identifier, a graphical representation of the asset from a building model having a different format than the digital representation, and rendering the graphical representation on a display device.