Vehicle Diagnostic Data Processing System for Repair Prioritization
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Solution Overview
Problem
The conventional process for diagnosing and repairing vehicles using diagnostic trouble codes (DTCs) is cumbersome and expensive, as it requires extensive analysis and often involves accessing multiple resources, leading to delays and uncertainties, as it does not effectively identify the underlying problem or provide direct repair procedures.
Innovation Solution
A system that processes vehicle diagnostic data by mapping it to possible fixes using a prior experience database, prioritizing solutions based on matches, and linking them to repair procedures, allowing for direct access to the most likely repair solution without needing to navigate multiple websites or resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic processes are used to identify vehicle problems, then comprehensive analysis can be performed, but the process becomes cumbersome, time-consuming, and expensive
Solution Approach 1:
The system pre-processes and stores diagnostic data from multiple resources in a structured database format before actual diagnosis occurs. Diagnostic trouble codes, service information, and repair procedures are organized in advance, allowing the system to quickly retrieve and compare relevant information without performing extensive analysis during the actual diagnostic process.
Solution Approach 2:
A computer system acts as an intermediary between the diagnostic trouble codes and the repair procedures. The system receives DTCs from scan tools, automatically searches through structured databases containing service information and repair procedures, and presents relevant results to the technician, eliminating the need for manual navigation through multiple resources.
2Reliability
If multiple resources are accessed to obtain repair procedures, then comprehensive repair information can be obtained, but the process introduces delays and uncertainties
Solution Approach 1:
The system merges multiple diagnostic resources including service information databases, repair procedure databases, and diagnostic trouble code databases into a single integrated system. This consolidation allows technicians to access comprehensive repair information through one interface rather than navigating multiple separate resources.
Solution Approach 2:
The diagnostic system is designed to perform multiple functions: receiving diagnostic trouble codes, searching service information databases, retrieving repair procedures, and presenting results - all within a single system. This multi-functionality eliminates the need to switch between different tools and resources.
3Measurement precision
If extensive analysis of diagnostic information is performed, then accurate diagnosis can be achieved, but the process requires considerable effort and expense
Solution Approach 1:
The system performs automatic searching and matching of diagnostic trouble codes with relevant service information and repair procedures. The computer system independently analyzes the received DTCs, queries the structured databases, and retrieves appropriate information without requiring manual analysis by the technician, reducing both effort and complexity.
Data Source
AI summary
A method of processing vehicle diagnostic data is provided for identifying likely vehicle fix(s) associated with a diagnostic data, and identifying a repair procedure(s) for correcting the likely fix(s). The process receiving vehicle diagnostic data from a vehicle onboard computer at a remote diagnostic database, the database being arranged to map vehicle diagnostic data to possible vehicle fix(s). The possible vehicle fix(s) are prioritized in accordance with ranked matches of the received diagnostic data to combinations of diagnostic data stored in a prior experience database. The prior experience database having an identified fix associated with each stored combination of diagnostic data. The fix associated with the highest ranked combination of diagnostic data is identified as the most likely fix. The most likely fix is mapped to a vehicle repair database, the most likely fix being directly mapped to an associated repair procedure for repairing the most likely fix.