Vehicle Diagnostic System Marker-Based Data Extraction
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Solution Overview
Problem
Current vehicle diagnostic systems require significant effort and time to analyze large amounts of driving parameter data, making it difficult to efficiently diagnose faults, especially when failure codes are absent or when reproducing problematic conditions is challenging.
Innovation Solution
A vehicle diagnostic system that includes a data collecting device connected to an in-vehicle network to transmit and store driving parameter data, and a diagnostic device that sets marker conditions to extract relevant data for analysis, reducing the need to sequentially analyze all data by allowing selective extraction of data related to specific symptoms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If driving parameter data is collected over several days using a data collecting device, then the amount of data becomes enormous, but the effort and man-hour required to analyze the data increases significantly
Solution Approach 1:
The patent extracts only the necessary driving parameter data from the enormous collected data by using a diagnostic device that selectively reads and analyzes specific parameters related to the fault symptom, rather than analyzing all collected data. This extraction principle resolves the contradiction by maintaining comprehensive data collection while enabling efficient targeted analysis.
Solution Approach 2:
The patent segments the analysis process into two stages: first, comprehensive data collection over several days using the data collecting device; second, selective analysis using the diagnostic device that focuses only on relevant parameters. This segmentation allows the system to handle large data volumes efficiently by dividing the workload between data collection and targeted analysis.
2Reliability
If all collected driving parameter data is analyzed sequentially, then comprehensive diagnosis is achieved, but the time and effort required becomes enormous
Solution Approach 1:
The diagnostic device extracts only the driving parameter data relevant to the specific fault symptom from the collected data, rather than analyzing all data sequentially. This selective extraction maintains diagnostic accuracy by focusing on critical parameters while dramatically reducing analysis time.
Solution Approach 2:
The patent applies partial action by analyzing only the necessary portion of the collected data required for diagnosis, rather than performing exhaustive analysis of all data. The diagnostic device determines which parameters are relevant to the fault and analyzes only those, achieving sufficient diagnostic reliability without the time cost of complete data analysis.
3Adaptability or versatility
If a large capacity storage device is attached to collect data for several days, then problematic repairs can be investigated, but the data amount becomes unmanageable for analysis
Solution Approach 1:
The diagnostic device extracts and analyzes only the specific driving parameter data needed for investigating problematic repairs, rather than attempting to manage and analyze all collected data. This extraction approach maintains the adaptability to investigate various repair scenarios while reducing data management complexity to manageable levels.
Data Source
AI summary
A diagnostic device, in accordance with a marker condition setting function, sets marker conditions for adding markers to collected data. Next, the collected data are read out from a data collecting device. Next, in accordance with a marking function, markers are added to the collected data at points in time when the set marker conditions are satisfied. Then, in accordance with a file creation function, with reference to the markers of the collected data, the collected data that took place within a predetermined time range before and after the markers is extracted, and the collected data is stored in individual analysis files.