Digital Twin Scenario Integration With Candidate Impact Evaluation
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Solution Overview
Problem
Existing digital twin management systems lack user-friendliness as they do not consider the potential impact on existing environments when updating or adding new scenarios, making it difficult for users to determine the effects of such changes.
Innovation Solution
A digital twin management system that extracts common parts from existing and new scenarios, generates integrated scenario candidates, calculates evaluations, and outputs configuration information and evaluations to help users assess the impact of updates, thereby improving user-friendliness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a new scenario is added to an existing digital twin, then the functionality and versatility of the digital twin is improved, but it becomes difficult for users to determine the impact and compatibility of the addition
Solution Approach 1:
The system performs preliminary analysis by extracting common parts between the existing scenario and the new scenario before the actual integration. It generates multiple integrated scenario candidates and calculates their evaluations in advance, allowing users to assess the impact before making a decision. This preliminary action resolves the contradiction by providing users with evaluation information upfront, making the addition process transparent and easier to manage while maintaining versatility.
Solution Approach 2:
The system provides feedback to users by calculating and displaying evaluations for each integrated scenario candidate. This feedback mechanism shows users the compatibility and impact of adding new scenarios, enabling informed decision-making. The evaluation results serve as feedback that guides users through the scenario integration process, improving ease of operation while preserving adaptability.
2Measurement precision
If multiple integrated scenario candidates are generated with evaluations, then the decision-making quality is improved, but the system complexity and processing time increases
Solution Approach 1:
The system segments the scenario integration process into distinct steps: extracting common parts, generating integrated scenario candidates, and calculating evaluations. This segmentation allows the complex task of scenario integration to be broken down into manageable components, reducing perceived system complexity while maintaining evaluation accuracy. Each segment can be processed independently, making the overall system more tractable.
Solution Approach 2:
The system changes parameters by identifying and extracting common parts between scenarios, then varying these common parts to generate multiple integrated scenario candidates. By systematically varying parameters (the common parts) while maintaining their core functionality, the system achieves comprehensive evaluation without requiring complete reanalysis of each scenario, thus balancing evaluation precision with system complexity.
Data Source
AI summary
A digital twin management system manages a virtual model that represents an actual physical system in a virtual space on a real-time basis. To generate an integrated virtual model by adding a second virtual model to a first virtual model, a processor of the digital twin system extracts multiple parts that can be used in common in the first virtual model and the second virtual model, generates multiple integrated virtual models that are candidates of an integrated virtual model by changing the extracted parts that can be used in common, calculates an evaluation of each of the generated integrated virtual models, and outputs configuration information regarding each of the integrated virtual model candidates and an evaluation of the integrated virtual model candidate in association with each other.