Vehicle Diagnostic Templates Tailored by Configuration Data
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Solution Overview
Problem
Current diagnostic systems for vehicle maintenance struggle to balance generic and specific instructions across various vehicle models, types, and configurations, often leading to irrelevant directions and inefficient diagnosis.
Innovation Solution
A control system with a prescription controller that stores initial diagnostic analyses with placeholders, modifying them based on vehicle system type, configuration, historical data, and operating conditions to create customized diagnostic analyses for maintenance technicians.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generic diagnostic instructions are used across all vehicle models, then the diagnostic process can be simplified and standardized, but the instructions become irrelevant for specific vehicle configurations
Solution Approach 1:
The diagnostic instruction set is made dynamic and adaptable rather than static. The system automatically modifies generic instructions by injecting vehicle-specific parameters (model, year, configuration) to generate customized diagnostic procedures tailored to each specific vehicle while maintaining the overall generic structure.
Solution Approach 2:
The system changes parameters within the diagnostic instructions based on vehicle-specific data. By modifying placeholders with actual vehicle parameters (model, configuration, historical data), the same generic instruction template produces different specific instructions appropriate for each vehicle type.
2Reliability
If multiple versions of diagnostic instructions are created for different vehicle models, then specific diagnostic needs are met, but the system complexity increases
Solution Approach 1:
A single universal diagnostic instruction template serves multiple vehicle models and configurations. The template contains placeholders that can be filled with different vehicle-specific parameters, allowing one instruction set to function universally across diverse vehicle types without creating separate versions for each model.
Solution Approach 2:
Instead of creating entirely separate instruction sets for each vehicle model, the system creates copies of a master template and modifies the copied instances with vehicle-specific data. This allows efficient replication and customization of diagnostic instructions without maintaining multiple independent instruction sets.
3Adaptability or versatility
If diagnostic instructions include all possible vehicle configurations, then comprehensive coverage is achieved, but irrelevant instructions increase diagnosis time
Solution Approach 1:
The system performs preliminary filtering and customization of diagnostic instructions based on vehicle identification data before the actual diagnosis begins. By pre-injecting vehicle-specific parameters and removing irrelevant instructions based on historical data and configuration, the system prepares a tailored instruction set that covers all necessary checks for that specific vehicle without including unnecessary steps.
Data Source
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AI summary
A system is provided having a prescription controller for a vehicle system having a database. The controller may store an initial diagnostic analysis for the vehicle system at the database, the initial diagnostic analysis including a reference diagnostic section having at least one placeholder, and modify the initial diagnostic analysis based on, for example, one of vehicle system type, vehicle system configuration, historical data related to the vehicle system, or an operating system related to an operating condition to form a modified diagnostic analysis.