Vehicle Data Acquisition via Targeted Profile Querying
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Solution Overview
Problem
Existing vehicle data acquisition methods are inefficient as they only transmit data during repair visits, resulting in outdated information due to decreasing repair shop visits for newer vehicles, making the data less informative for product analysis.
Innovation Solution
A vehicle data acquisition system using a vehicle-external computer, communication devices, and a databank identifies vehicles with specific profiles via VIN numbers, queries and evaluates data for targeted and rapid analysis, ensuring data security through anonymization and authentication, and periodic data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If vehicle data are transmitted only during repair visits, then data transmission infrastructure is simple, but data timeliness deteriorates and becomes outdated
Solution Approach 1:
The system performs preliminary actions by establishing communication infrastructure and data collection mechanisms in advance, enabling continuous data transmission before repair visits occur. This allows data to be collected and transmitted proactively rather than waiting for repair events.
Solution Approach 2:
The patent implements continuous data transmission from vehicles to the server, replacing the discontinuous repair-visit-based model. This ensures uninterrupted data flow and maintains constant connectivity between vehicles and the analysis system.
2Productivity
If repair shop visits decrease for newer vehicles, then vehicle operation efficiency improves, but data availability for analysis deteriorates
Solution Approach 1:
Vehicles autonomously transmit their own data to the server without requiring external intervention or repair shop visits. The onboard communication devices enable vehicles to self-report operational data, diagnostic information, and status updates independently.
Solution Approach 2:
The system establishes a feedback loop where vehicle data is continuously transmitted to the server, which then provides analysis results and maintenance recommendations back to vehicle operators, creating a closed-loop information system.
3Loss of information
If vehicle data are collected continuously, then data informativeness improves, but data security risks increase
Solution Approach 1:
The system extracts and separates personally identifiable information from vehicle data during the anonymization process. Sensitive data elements are removed or masked, retaining only the technical and diagnostic information needed for analysis while eliminating security risks associated with personal identification.
4Measurement precision
If targeted vehicle identification is implemented, then analysis precision improves, but system complexity increases
Solution Approach 1:
The system changes the identification parameter from generic vehicle categories to specific characteristic profiles based on multiple parameters including vehicle type, usage patterns, and operational conditions. This enables precise targeting of vehicles with similar characteristics for comparative analysis.
Data Source
AI summary
A vehicle data acquisition system and method are provided for the analysis of vehicle conditions. A vehicle-external communication device, a vehicle-internal communication device, a vehicle-external computer and a vehicle-external databank are utilized. For providing an informative vehicle data acquisition system, on the basis of the data in the vehicle-external databank, the vehicle-external computer identifies those vehicles which have a first characteristic profile. The vehicle-external computer queries vehicle data from the identified vehicles by way of the vehicle-external and the vehicle-internal communication devices, and the vehicle-external computer evaluates the queried and received vehicle data for the analysis of vehicles having the first characteristic profile.