Vehicle Shadow Service Asynchronous Data Processing
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Solution Overview
Problem
Existing remote data storage systems for vehicles, such as cloud-based computing systems, are inflexible and inefficient, particularly in handling varying data update frequencies and providing only full snapshots of vehicle data, which can lead to redundant data transmission and inefficient resource usage.
Innovation Solution
A vehicle shadow service that asynchronously receives and processes disaggregated sensor data from vehicles, allowing for the creation of perspective-based vehicle shadows with customizable data configurations, updating based on actual sensor data rates and validating data from heterogeneous sources, thereby reducing network overhead and improving data relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full snapshots of vehicle data are transmitted to the remote storage system, then complete vehicle data is available for storage and analysis, but network overhead increases and resource usage becomes inefficient
Solution Approach 1:
The patent extracts and transmits only the specific subset of vehicle data that is relevant to user interests and application requirements, rather than transmitting complete vehicle snapshots. This selective extraction reduces network overhead while maintaining data reliability for intended purposes.
Solution Approach 2:
The patent segments vehicle data into different categories and subsets based on user-defined perspectives and application needs. By dividing the complete vehicle data set into manageable segments, the system transmits only necessary portions, reducing overall network overhead while preserving data completeness for specific use cases.
2Ease of operation
If vehicle data is updated at a fixed snapshot frequency, then data synchronization is simplified, but the system cannot accommodate varying data update frequencies for different vehicle elements
Solution Approach 1:
The patent implements dynamic data update frequencies for different vehicle elements based on their specific requirements. Each data subset can be configured with its own update rate, allowing the system to adapt to varying data freshness requirements while maintaining manageable synchronization through a standardized interface.
Solution Approach 2:
The patent allows configuration of different update frequency parameters for different vehicle data subsets. By changing the temporal parameter of data updates on a per-element basis, the system achieves both flexibility in accommodating varying update rates and simplicity in synchronization through a unified configuration mechanism.
3Reliability
If all vehicle data is stored and processed in the remote system, then comprehensive analysis is possible, but the system complexity and computational resources required increase
Solution Approach 1:
The patent applies local quality by storing and processing different subsets of vehicle data in different locations based on specific application needs. Some data subsets are processed locally at the vehicle, while others are transmitted to the remote system, reducing overall system complexity while maintaining comprehensive analysis capabilities where needed.
Data Source
AI summary
Systems and methods are disclosed for implementing a vehicle shadow service configured to construct and maintain up-to-date vehicle shadows using asynchronously received disaggregated vehicle data. For example, different sensors of a vehicle may provide sensor data into a data stream at different times in a disaggregated manner. A vehicle shadow may be constructed using partial sensor data from a sub-set of sensors of the vehicle, and may be updated or augmented using asynchronously received sensor data from other sensors of the vehicle.