Vehicle Group Data Off-boarding for Storage Capacity
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Solution Overview
Problem
The large volume of data collected by vehicle groups poses challenges in storage capacity, as existing systems lack efficient methods to differentiate and manage data quality, leading to potential storage inefficiencies and ineffectual data storage.
Innovation Solution
A method and system that evaluate data quality parameters, such as file size and frame variations, to determine whether data sets from one vehicle in a group should be off-boarded and redundantly stored on other vehicles, ensuring only high-quality data is stored across the group, thereby optimizing storage capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all collected data is stored on off-board storage devices, then storage capacity is increased, but storage efficiency deteriorates due to storing ineffectual data
Solution Approach 1:
The system changes the parameter of data quality assessment by evaluating quality parameters (such as data completeness, validity flags, or quality scores) before determining storage actions. This allows the system to differentiate between high-quality and low-quality data, storing only effectual data to maintain storage efficiency while utilizing available storage capacity
Solution Approach 2:
The system applies different storage actions to different portions of data based on their individual quality characteristics. High-quality data is stored on off-board devices, while low-quality data is handled differently (filtered, compressed, or not stored), creating local quality differentiation that optimizes overall storage efficiency
2Reliability
If data is stored on multiple vehicles for redundancy, then data reliability is improved, but storage capacity consumption increases
Solution Approach 1:
The system changes the parameter of data quality assessment to identify significant data worthy of redundant storage. By evaluating quality parameters, the system determines which data sets meet the threshold for redundant storage across multiple vehicles, thereby improving reliability only for effectual data rather than all data
Solution Approach 2:
The system applies redundant storage selectively based on local quality assessments of individual data sets. Only high-quality data that meets significance criteria is propagated to multiple vehicles for redundant storage, while lower-quality data is stored locally or not stored at all, optimizing the balance between reliability and storage capacity consumption
3Ease of operation
If all data is transmitted to off-board storage, then storage accessibility is improved, but data transmission volume increases
Solution Approach 1:
The system changes the parameter of data evaluation by assessing quality parameters before transmission decisions. This allows the system to identify and transmit only high-quality, effectual data to off-board storage devices, improving storage accessibility for significant data while reducing the overall volume of data transmitted
Solution Approach 2:
The system extracts and transmits only the essential high-quality data to off-board storage, leaving low-quality or ineffectual data to be handled locally (filtered, compressed, or discarded). This extraction approach improves accessibility for important data while minimizing transmission volume
Data Source
AI summary
Methods and systems are provided for processing data generated in a vehicle group. One example embodiment comprises evaluating one or more quality parameters of a first data set generated at a first vehicle in the vehicle group by a first data capture device, and based on the evaluation, off-boarding the first data set for storage purposes. Based on a link quality of a communication system of the vehicle group, the first data set may be off-boarded to a second vehicle in the vehicle group or to a remote storage device. In one example, if the quality parameter of the first data set is higher, the data may be stored on a second vehicle, while if the quality parameter of the first data set is lower, a second data set generated at the second vehicle by a second data capture device may be stored on the second vehicle.