Staged Digital Twin Architecture for Fast, Reliable Decision Support
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Solution Overview
Problem
Existing digital twin systems face challenges in providing rapid and reliable decision support information due to the time-consuming processing of large and complex data sets, which can lead to delayed responses in critical situations like disasters.
Innovation Solution
A scalable digital twin system structure that divides data analysis into stages of increasing complexity, from threshold comparison to causality analysis, allowing for stepwise generation and provision of decision support information, enabling timely and accurate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive data analysis is performed to ensure reliable decision support information, then reliability is improved, but response time deteriorates
Solution Approach 1:
The patent segments the digital twin system into multiple stages (first stage for basic visualization and monitoring, second stage for advanced analysis and simulation). This segmentation allows the system to provide reliable decision support information at different levels of analysis without requiring all stages to complete simultaneously, thus improving response time while maintaining reliability through progressive refinement.
Solution Approach 2:
The patent implements preliminary action by pre-building digital twin models and pre-processing data structures during the first stage. This preliminary preparation enables faster execution of comprehensive analysis in the second stage, reducing the overall response time while ensuring reliable decision support information when needed.
2Speed
If digital twin systems are applied to disaster safety management for rapid response, then response speed is improved, but system complexity increases
Solution Approach 1:
The patent divides the digital twin system into distinct stages with specific functions - the first stage handles basic data collection and visualization, while the second stage performs advanced analysis. This segmentation reduces system complexity by allowing each stage to be developed and maintained independently, while still enabling rapid response through coordinated operation of all stages.
Solution Approach 2:
The patent implements dynamic operation where the system can adaptively activate different stages based on the specific disaster scenario and response requirements. This dynamic approach allows the system to maintain simplicity for routine monitoring while enabling comprehensive analysis only when necessary, thus improving response speed without permanently increasing system complexity.
Data Source
AI summary
The present invention provides a scalable digital twin system structure and a scalable digital twin service method that are capable of, based on a digital twin, performing real-time control of the real world while providing information required for the user to determine the optimal countermeasure in solve real-world problems in stages, thereby helping rapidly solve problems of the real-world. In order to preemptively respond to the real-world problems by providing decision support information with improved reliability according to a timeline based on a digital twin of a scalable structure, the operation of the digital twin is divided into several stages according to complexity and a result of each stage is transferred to an application service and the next stage, so that as the stage becomes higher, a more reliable result can be provided.