Vehicle Data Analysis for Fault-Code-Free Control Error Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data management systems for vehicles struggle to efficiently identify and improve control errors when no fault code is generated by electronic control units (ECUs), leading to incomplete diagnosis and potential safety issues.
Innovation Solution
A data management system that collects input data from vehicles, compares it with analysis reference data, extracts abnormal data, and labels it for prioritized improvement, even in the absence of a fault code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fault codes are used for error detection, then diagnostic coverage is limited to predefined faults, but the system cannot detect abnormal operations that do not generate fault codes
Solution Approach 1:
The patent segments the diagnostic process into two independent components: traditional fault code-based detection and the new analysis reference data-based detection. This allows the system to maintain existing fault code functionality while adding a parallel detection mechanism that compares actual operation data against expected normal operation data, thereby achieving both reliability and adaptability
Solution Approach 2:
The analysis reference data mechanism serves multiple functions: it detects abnormal operations, identifies control errors, prioritizes issues for improvement, and works across different ECU types and fault scenarios. This universal approach replaces the need for separate diagnostic systems while enhancing overall diagnostic capability
2Reliability
If comprehensive data collection and analysis is implemented, then control errors can be identified without fault codes, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing analysis reference data that represents normal operation patterns before actual diagnostic needs arise. This preparation work is done offline, so when real-time diagnostics are needed, the system only needs to compare current data against the pre-established reference, minimizing real-time computational complexity
Solution Approach 2:
The patent introduces analysis reference data as an intermediary element that mediates between raw operation data and diagnostic conclusions. This intermediary layer simplifies the comparison process by providing a standardized reference framework, reducing the complexity of directly analyzing raw data without fault codes
Data Source
AI summary
A data management system and an operation method thereof are disclosed. The system includes: a data collecting unit configured to collect input data obtained by hardware; a database configured to store analysis reference data for analysis of collected input data and analysis result data; and an analysis unit configured to compare input data with analysis reference data to extract abnormal data, and classify the abnormal data so as to store the abnormal data as analysis result data in the database.