Diagnostic Tool Retrieving Specific Vehicle Data via Remote Library
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Solution Overview
Problem
Current diagnostic systems for motor vehicles require technicians to manually sift through extensive repair manuals and databases to find relevant information corresponding to trouble codes, leading to increased repair time and costs, especially in time-sensitive industries like trucking.
Innovation Solution
A system that automatically retrieves and displays specific diagnostic information by connecting to a remote electronic library via the internet, using trouble code IDs to tag and retrieve relevant data such as wiring diagrams, testing steps, and component specifications, reducing the need for technicians to search through extensive manuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If technicians manually search through extensive repair manuals and databases to find relevant diagnostic information, then comprehensive diagnostic data can be obtained, but repair time and operational costs increase significantly
Solution Approach 1:
The system extracts only the specific diagnostic information relevant to the retrieved trouble codes from the extensive repair manuals and databases, rather than requiring technicians to manually search through all available information. This extraction process automatically filters and retrieves only the necessary data points corresponding to the diagnosed issues.
Solution Approach 2:
The diagnostic information is pre-organized and tagged with trouble code identifiers in the database, allowing for rapid retrieval when codes are detected. This preliminary organization of data enables the system to quickly access relevant information without manual searching, as the information is already structured for efficient query response.
2Loss of information
If technicians manually search through extensive repair manuals, then complete diagnostic data is available, but operational costs and repair time increase
Solution Approach 1:
The system automatically extracts and retrieves only the specific diagnostic information relevant to the trouble codes detected, eliminating the need for technicians to manually search through extensive manuals. This extraction maintains information completeness while dramatically improving repair efficiency by delivering only the necessary data.
Solution Approach 2:
The diagnostic system performs self-service by automatically retrieving and presenting relevant diagnostic information based on the trouble codes detected. The system serves itself by querying the database using the trouble code identifiers and automatically displaying the corresponding diagnostic data without requiring manual intervention or extensive technician search efforts.
3Loss of information
If all diagnostic information is provided to technicians, then comprehensive repair data is available, but processing load on diagnostic databases increases
Solution Approach 1:
The system extracts and retrieves only the specific diagnostic information corresponding to the detected trouble codes, rather than providing all available diagnostic data. This selective extraction reduces the processing load on the database while ensuring that all necessary information for repair is still made available to technicians.
Solution Approach 2:
The database is organized with local quality where specific sections of diagnostic information are tagged and associated with specific trouble code identifiers. This allows the system to efficiently query and retrieve only the locally relevant information needed for each specific diagnostic situation, rather than processing or transmitting entire databases.
Data Source
AI summary
A system, method, and apparatus for retrieving trouble codes from a motor vehicle and retrieving only relevant diagnostic information relative to the returned codes from one or more remote diagnostic libraries. An electronic diagnostic library contains generalized diagnostic vehicle information tagged with trouble code identification ID's at a first location, and a diagnostic tool at a second location requests only relevant diagnostic information from the electronic library that is tagged with trouble code identification ID's corresponding to the retrieved trouble codes. The diagnostic tool receives the specific diagnostic vehicle information at the first location and may store the specific vehicle information locally prior to displaying an index to the information to a repair technician.