Digital Twin Maintenance for Vehicle Sensor Abnormalities
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in determining accurate component metrics when sensor data is unavailable or inaccurate due to sensor abnormalities in vehicle components.
Innovation Solution
The method involves receiving sensor data from vehicle components, determining a component scalar using a digital twin model, detecting sensor abnormalities, and calculating an estimated component scalar based on historical data to provide accurate metrics to the digital twin model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is used to determine component metrics, then measurement accuracy is improved, but reliability deteriorates when sensor abnormalities occur
Solution Approach 1:
The patent introduces an intermediary system that detects sensor abnormalities and activates alternative estimation methods. When a sensor abnormality is detected, the system switches from using direct sensor data to using estimated component scalars derived from digital twin models and historical data, thereby maintaining metric availability while preserving accuracy through the intermediary estimation mechanism
Solution Approach 2:
The system changes the parameter source dynamically based on sensor health status. When sensors are normal, it uses actual sensor measurements; when sensor abnormalities are detected, it transitions to using estimated parameters from digital twin models and historical data, thus maintaining both reliability and measurement precision through parameter substitution
2Reliability
If sensor data is continuously monitored, then component health assessment is improved, but system complexity increases to handle sensor abnormalities
Solution Approach 1:
The system performs preliminary actions by pre-building digital twin models and storing historical component scalar data before sensor abnormalities occur. This preparation enables rapid switching to estimation modes without complex real-time decision-making, reducing system complexity while maintaining continuous monitoring capability
Solution Approach 2:
The patent creates a digital twin copy of the physical component that can be used for estimation when the actual component's sensor data is unavailable. This copying approach simplifies the abnormality handling system by using a pre-existing virtual model rather than requiring complex analysis systems
Data Source
AI summary
A method may include receiving sensor data from a sensor associated with a component of a vehicle; determining a component scalar of the component using the sensor data and a digital twin model of the component; detecting an abnormality of the sensor associated with the component of the vehicle; based on detecting the abnormality of the sensor, determining an estimated component scalar of the component using the component scalar; and providing the estimated component scalar to the digital twin model of the component.