Digital Twin Planning with Overall Arbitration and Partial Change
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Solution Overview
Problem
Existing methods for optimizing the mutual influence between digital twins (DTs) in a real space are computationally complex and often cannot be completed within the required time, especially when multiple conditions serve as triggers, leading to inefficient operation of DTs.
Innovation Solution
A planning device and method that includes an overall arbitration unit to calculate an operation plan for DTs without real space operations and a partial change unit to correct the plan based on actual operations, reducing computational complexity by planning in advance during non-operational times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple conditions serve as triggers for optimizing mutual influence between digital twins, then the optimization comprehensiveness is improved, but the calculation complexity increases and cannot be completed within required time
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimization results for various trigger conditions in a database before they are actually needed. When a trigger condition occurs, the system retrieves pre-computed results instead of performing complex calculations in real-time. This allows comprehensive multi-condition optimization to be prepared in advance, ensuring both optimization comprehensiveness and meeting real-time response requirements.
2Reliability
If comprehensive optimization calculation is performed for all digital twins, then the mutual influence optimization is improved, but the device complexity and computational load increase
Solution Approach 1:
The patent segments the optimization process into distinct components: individual digital twin optimizations, trigger condition evaluations, and result integration. Each digital twin is optimized independently based on its specific trigger conditions, and results are aggregated. This segmentation reduces the complexity of managing comprehensive multi-twin optimization by breaking it into manageable independent units that can be processed and stored separately.
Solution Approach 2:
The patent creates copies of optimization results by storing pre-calculated outcomes in a database for each trigger condition. Instead of performing complex calculations repeatedly, the system copies and retrieves stored results when the same trigger conditions occur again. This copying approach maintains optimization quality while significantly reducing computational complexity and system load.
3Measurement precision
If real-time calculation is performed for all trigger conditions, then the response accuracy is improved, but the productivity and operational efficiency decrease
Solution Approach 1:
The system performs preliminary calculations and stores optimization results in advance for various trigger conditions. When triggers occur in real-time, the system retrieves pre-computed results rather than calculating anew, ensuring accurate responses while maintaining high operational efficiency. This preliminary action approach allows the system to handle multiple triggers simultaneously without sacrificing response accuracy.
Data Source
AI summary
A planning device for planning a digital twin system including at least two digital twins. A planning device includes an overall arbitration unit that performs calculation of overall arbitration of an operation plan for an operation performed in a state where there is no operation of an object in a real space corresponding to each of the digital twins, and transmits a result of the overall arbitration to each of the digital twins, and a partial change unit that performs calculation of a partial change of the operation plan, by correction based on the result of the overall arbitration, for an operation performed in a state where there is an operation of an object in a real space corresponding to each of the digital twins, and transmits a result of the partial change to each of the digital twins.