Smart Building Digital Twin for Interoperability
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Solution Overview
Problem
Smart buildings face challenges in data interoperability and resource consumption assessment due to proprietary communication protocols and limited data flow between subsystems, hindering comprehensive energy efficiency and environmental impact analysis.
Innovation Solution
A method and system for generating a digital twin of a smart building, using machine learning models and IoT devices to analyze and replicate user preferences, providing a green score and recommendations for energy efficiency, and applying this digital representation to other buildings for improved environmental impact monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary communication protocols are used in smart building subsystems, then device compatibility and data interoperability are improved, but comprehensive data flow and environmental impact analysis are hindered
Solution Approach 1:
The patent introduces a digital twin as an intermediary layer between physical building subsystems and analysis tools. This digital twin aggregates data from multiple proprietary subsystems into a unified virtual representation, enabling comprehensive environmental impact analysis without requiring direct interoperability between original subsystems. The digital twin acts as a mediator that translates diverse data formats into a common framework for assessment.
2Measurement precision
If comprehensive data collection from all building subsystems is implemented, then environmental impact assessment accuracy is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The patent creates a digital copy (digital twin) of the physical building and its subsystems. This virtual copy replicates the essential characteristics and data flows of the physical system, allowing comprehensive environmental impact assessment to be performed on the simplified digital model rather than directly on the complex physical system. The digital twin captures necessary data relationships while abstracting away unnecessary physical system complexities.
3Productivity
If digital twin technology is applied to multiple buildings, then resource management decision-making is improved, but computational requirements and processing time increase
Solution Approach 1:
The patent creates digital twins in advance of actual environmental impact assessments. By maintaining pre-built digital representations of buildings with their subsystems already modeled and data relationships established, the system eliminates the need for time-consuming data collection and model creation during actual assessment periods. This preliminary preparation enables rapid environmental impact analysis when decisions need to be made.
Data Source
AI summary
A method, computer system, and a computer program product for environment mapping is provided. The present invention may include generating a digital twin, wherein the digital twin is a digital representation of a smart building. The present invention may include applying the digital twin to a second building. The present invention may include providing an implementation assessment, wherein the implementation assessment includes at least the environmental impact of preferences of a user in the second building.


