Vehicle Data Verification for Validity and Consistency Checks
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Solution Overview
Problem
Vehicle data collected from various electrical components and controllers lacks data validity and consistency, leading to reduced accuracy in comprehensive analysis and inefficient utilization.
Innovation Solution
A vehicle data consistency verification system and method that includes a server and an automated data verification device to inspect data validity and consistency by comparing server and vehicle collection data, using a data collection unit, data validity inspection unit, and data consistency determination unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If vehicle data is collected from various electrical components and controllers, then the quantity of data available for analysis increases, but data validity and consistency deteriorate
Solution Approach 1:
The system performs preliminary data validity inspection before storing and analyzing vehicle data. The data validity inspection unit checks each data item against predefined validity rules prior to storage, ensuring only valid data enters the database. This preliminary action prevents inconsistent data from compromising overall data quality while maintaining comprehensive data collection.
2Productivity
If comprehensive analysis of vehicle data is performed, then the value extracted from data increases, but accuracy of analysis decreases due to data inconsistency
Solution Approach 1:
The system implements a feedback mechanism where the data consistency determination unit continuously compares server-stored data with freshly collected vehicle data. When inconsistencies are detected, the system provides feedback to correct the issues, ensuring that the data used for comprehensive analysis maintains high accuracy and consistency, thereby enabling reliable data-driven decisions.
3Reliability
If data validity inspection and consistency verification are performed, then data reliability improves, but system complexity increases
Solution Approach 1:
The verification system is segmented into distinct functional units: a data collection unit for gathering vehicle data, a data validity inspection unit for checking individual data items, and a data consistency determination unit for comparing data across time points. This segmentation allows each component to perform its specific function independently, making the overall complex verification process manageable and maintainable.
4Reliability
If server collection data is compared with vehicle collection data, then data consistency is verified, but processing time increases
Solution Approach 1:
The system performs partial consistency verification by focusing on key data items and time points rather than verifying every single data point exhaustively. The data consistency determination unit compares server-stored data with vehicle data at critical intervals and for important parameters, achieving sufficient verification of data consistency without requiring complete processing of all data, thus reducing processing time while maintaining reliability.
Data Source
AI summary
Provided are a vehicle data consistency verification system and method allowing verification of validity and consistency of various vehicle data collected to improve vehicle quality and service. Provided are a vehicle data consistency verification system and method allowing vehicle data stored in a server to be efficiently used by improving accuracy and reliability of vehicle data through inspection of data validity and data consistency for various vehicle data transmitted from a vehicle and collected and stored on a server.