Vehicle Log Segmentation With Storage Reliability Metadata
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Solution Overview
Problem
Connectivity issues and storage capacity limitations in vehicles prevent efficient data transfer from vehicle sensors to servers, leading to potential data loss and incomplete data requests.
Innovation Solution
A vehicle data collection system that prioritizes data transmission based on priority levels and reliability metrics, splitting data into partial logs to manage storage and transmission efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in vehicle memory until transfer to server, then data completeness is improved, but storage capacity is exceeded and data loss occurs
Solution Approach 1:
The patent divides log data into multiple segments or chunks before storage. Each segment is stored separately in the vehicle memory, allowing the system to manage storage capacity efficiently while ensuring that complete data sets can be reassembled later. This segmentation prevents any single storage location from exceeding capacity limits while maintaining data integrity across multiple segments.
Solution Approach 2:
The patent performs preliminary processing and segmentation of data before storage. By preparing data in advance into manageable segments with proper metadata and indexing, the system ensures that data can be efficiently retrieved and transferred later without exceeding storage capacity during the collection phase.
2Reliability
If all collected data is transferred to server, then data completeness is improved, but transmission time and energy consumption increase
Solution Approach 1:
The patent implements partial data transfer by selecting and prioritizing which data segments to transfer based on importance, recency, and completeness criteria. Critical data is transferred first, while less important data remains in vehicle memory or is deleted, achieving sufficient data completeness without transferring all collected data and thereby reducing transmission time and energy consumption.
Solution Approach 2:
The patent extracts and transfers only the necessary portions of collected data to the server based on predefined criteria such as data importance, recency, and storage availability. This selective extraction approach ensures data completeness for critical information while minimizing transmission time and resources by leaving non-critical data in vehicle memory.
3Reliability
If data is prioritized for transmission, then data loss risk is reduced, but system complexity increases
Solution Approach 1:
The patent changes parameters such as data priority levels, recency timestamps, and storage location identifiers to enable automated prioritization of data for transmission. By encoding these parameters directly in the data structure, the system can automatically determine which data to transfer first without requiring complex external management systems, thus reducing overall system complexity while still preventing data loss.
Data Source
AI summary
A vehicle data collection system includes a sensor configured to collect data; a non-transitory computer readable medium configured to store instructions, an application log, and a system log thereon; and a processor. The processor is configured to execute the instructions for receiving the collected data from the sensor, the application log or the system log; and generating log data based on the collected data. The processor is configured to execute the instructions for separating the log data into a plurality of partial log data; and generating metadata for each of the plurality of partial log data. The metadata includes reliability information for a portion of a storage unit where corresponding partial log data of the plurality of partial log data will be stored. The processor is configured to execute the instructions for instructing the storage unit to store each of the plurality of partial log data in the storage unit.