Digital Twin Contaminant Propagation Simulation
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Solution Overview
Problem
Current methods lack practical means to effectively simulate and understand the propagation patterns of airborne pathogens and other contaminants in specific areas, hindering the identification of contamination risks and mitigation strategies.
Innovation Solution
A digital twin simulation system that uses sensors to gather data on vehicle traffic, air patterns, human movement, and environmental conditions to generate a virtual model of a preconfigured area, allowing for the analysis of contaminant spread and prediction of propagation patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simulation methods are used for contaminant propagation, then the system is simple to implement, but the accuracy and reliability of propagation pattern prediction is insufficient
Solution Approach 1:
The patent creates a digital twin - a virtual copy of the physical environment - to simulate contaminant propagation. This digital replica allows for accurate prediction of propagation patterns without requiring complex physical experiments, thereby improving measurement precision while maintaining manageable system complexity through software-based simulation.
Solution Approach 2:
The system performs preliminary simulations using the digital twin to predict contaminant propagation patterns before actual contamination events occur. This allows for pre-planning of mitigation strategies and resource allocation, improving prediction accuracy by testing multiple scenarios in advance without the complexity of real-time intervention systems.
2Reliability
If digital twin simulation with multiple sensor data is implemented, then the contaminant propagation prediction accuracy is improved, but the data processing complexity and computational requirements increase
Solution Approach 1:
The digital twin system integrates multiple sensor types (air quality sensors, cameras, microphones, thermal sensors) into a single unified simulation platform. This multi-functional system processes diverse data types simultaneously, improving simulation reliability by incorporating comprehensive environmental data while managing complexity through a consolidated processing architecture.
Solution Approach 2:
The patent introduces an AI-based digital twin as an intermediary layer between raw sensor data and propagation predictions. This intermediary processes and synthesizes data from multiple sensors, transforming complex multi-source input into reliable propagation patterns, thereby improving reliability while reducing the complexity burden on end users.
3Measurement precision
If real-time sensor data collection is deployed throughout the area, then the accuracy of digital twin simulation is improved, but the cost and complexity of the monitoring system increases
Solution Approach 1:
The patent merges multiple sensor functions and data types into a unified digital twin simulation system. By combining air quality data, video feeds, audio signals, and thermal information into a single integrated platform, the system achieves high measurement precision for propagation predictions while avoiding the complexity of managing separate monitoring systems for each sensor type.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for digital twin carrier simulation is provided. The embodiment may include identifying an occurrence of a contamination event. The embodiment may also include generating a digital twin of an area within a preconfigured distance of the contamination event. The embodiment may further include identifying one or more modes of spread for a contaminant released during the contamination event. The embodiment may also include performing a digital twin simulation of the area using the generated digital twin and the one or more identified modes of spread. The embodiment may further include calculating a contaminant propagation pattern based on the digital twin simulation.