Digital Twin Effect Chain Checking for Semiautomated Vehicle Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for infrastructure-supported, semiautomated control of motor vehicles within infrastructure lack an efficient means to check the suitability of complex effect chains, especially when communication links between components are absent or unreliable.
Innovation Solution
The method involves creating digital twins of the effect chain components based on state signals, allowing for a virtual check of the effect chain's suitability for semiautomated control, which can be performed independently of actual communication links and ensuring safety and security standards are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If direct checking of the real effect chain is performed, then the check reflects actual system behavior, but the check cannot be performed without communication links and may interfere with real system operation
Solution Approach 1:
The patent creates digital twins as virtual copies of the effect chain components and their interactions. These digital twins replicate the behavior and state of the real components, allowing checks to be performed on the virtual model without needing direct access to or communication with the real system during the check process.
Solution Approach 2:
The digital twin serves as an intermediary between the checking process and the real effect chain. The check is performed on the digital twin, which mediates the verification process, eliminating the need for direct communication links to the real system while still providing meaningful validation results.
2Measurement precision
If communication links are established for checking the effect chain, then real-time verification is possible, but the system becomes dependent on communication availability and complexity increases
Solution Approach 1:
By copying the effect chain into a digital twin, the patent eliminates the need for communication links between the checking system and the real components. The digital twin contains all necessary information and behavioral models, allowing accurate checks to be performed independently of communication infrastructure.
Solution Approach 2:
The patent extracts the essential behavior and state information of the effect chain components into the digital twin model. This extraction allows the checking process to operate on the extracted virtual model without requiring ongoing communication with the actual components, thereby removing the communication dependency.
3Reliability
If the effect chain is checked in the real system, then actual performance is verified, but the checking process may disrupt normal operation and reduce productivity
Solution Approach 1:
The digital twin provides a virtual replica that can be checked independently of the real system operation. This allows comprehensive verification of the effect chain's suitability for semiautomated control without interrupting or slowing down the actual motor vehicle operations, thereby maintaining high productivity while ensuring reliability.
Solution Approach 2:
The digital twin allows checks to be performed in advance or in parallel with real system operation. By preparing and validating the effect chain model virtually before deployment or alongside real operations, the patent ensures system suitability is confirmed without disrupting actual productivity-critical operations.
Data Source
AI summary
A method for checking an effect chain, which includes multiple components, for an infrastructure-based, at least semiautomated control of a motor vehicle within an infrastructure. The method includes: receiving state signals which represent a state of the effect chain, setting up at least one digital twin of the components of the effect chain based on the state signals, checking the effect chain with the aid of the at least one digital twin to determine whether the effect chain is suitable for an infrastructure-based, at least semiautomated control of a motor vehicle, determining whether the effect chain is suitable for an infrastructure-based, at least semiautomated control of a motor vehicle within the infrastructure based on the check.


