Vehicle Diagnostic Scan Results Filtering for Relevant Repair Search
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Solution Overview
Problem
Existing vehicle diagnostic systems often return irrelevant information during maintenance and repair searches due to including all reported fault codes, regardless of their relevance to the current issue, leading to inefficient and unhelpful search results.
Innovation Solution
A vehicle diagnostic system that allows users to selectively choose or deselect diagnostic scan data results, using manual or automatic methods based on criteria such as relevance, timestamp, or known associations, to focus searches on relevant maintenance or repair information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all reported fault codes are included in diagnostic scan results, then comprehensive diagnostic data is obtained, but irrelevant information is returned leading to inefficient search results
Solution Approach 1:
The patent segments the complete set of fault codes into multiple groups or categories (e.g., active codes, pending codes, historical codes, codes by system). This allows the system to present organized subsets of codes to users rather than a single overwhelming list, enabling users to efficiently select relevant codes for their specific diagnostic needs while maintaining access to comprehensive data when needed.
2Measurement precision
If manual selection of diagnostic results is required, then search accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements automatic code selection features that allow the system to intelligently determine which fault codes are most relevant to the current diagnostic situation. The system can automatically filter and prioritize codes based on criteria such as recency, frequency, system importance, or user preferences, reducing the manual effort required while maintaining high search accuracy.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system learns from user interactions with the code selection interface. By tracking which codes users select and which they ignore, the system adapts to user preferences and diagnostic patterns, automatically adjusting the presentation and prioritization of codes to reduce complexity while improving accuracy over time.
Data Source
AI summary
A system and method of diagnosing a vehicle electronic system and searching for relevant vehicle information pertaining thereto includes a vehicle diagnostic computer tool configured to operate in a mode to scan a vehicle to obtain diagnostic scan data, obtaining a plurality of diagnostic scan data results from the electronic system of the vehicle with the vehicle diagnostic computer tool using a diagnostic scanning program, designating particular ones of the diagnostic scan data results using the vehicle diagnostic computer tool, and performing a search for vehicle information related to the designated particular ones of the diagnostic scan data results. The diagnostic scan data results for searching can be designated by an operator via a listing on the computer tool, or can be automatically designated by the computer tool by way of input criteria entered into the vehicle diagnostic computer tool.