Hierarchical Vehicle Diagnostic System with Tiered Data Access
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Solution Overview
Problem
The complexity of modern vehicle diagnostics requires extensive technical knowledge and access to diverse diagnostic data, which can be costly and time-consuming to acquire, especially when dealing with varying vehicle types, components, and systems, as well as restricted data from manufacturers.
Innovation Solution
A vehicle diagnostic system comprising multiple processors and memory corpuses that allow for tiered access to diagnostic data, enabling technicians to seek diagnoses from increasingly specialized corpuses if initial data sources are insufficient, while membership status determines access to restricted data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If technicians access comprehensive diagnostic data from multiple sources, then diagnostic accuracy improves, but system complexity and cost increase
Solution Approach 1:
The diagnostic system is segmented into multiple hierarchical levels: local diagnostic processor with first corpus, regional server with second corpus, and manufacturer server with third corpus. Each level handles specific types of diagnostic queries, distributing complexity across manageable segments rather than requiring one technician to access all data simultaneously.
Solution Approach 2:
The patent introduces intermediary components including a gateway that manages communication between different corpus levels, and a unified interface that presents simplified access to technicians. These intermediaries shield technicians from the underlying system complexity while enabling access to comprehensive diagnostic data.
2Adaptability or versatility
If technicians access specialized diagnostic data, then diagnostic capability improves, but access cost increases
Solution Approach 1:
The system implements local quality by providing different levels of diagnostic data access based on technician needs and authorization. The first corpus contains commonly needed diagnostic information available to all technicians, while the second and third corpuses contain specialized data accessible only when and where needed, reducing overall access costs while maintaining capability when required.
Solution Approach 2:
The system performs preliminary actions by pre-processing and organizing diagnostic data into the hierarchical corpus structure before technicians need it. Diagnostic algorithms and reference information are pre-loaded into appropriate corpus levels, so technicians receive processed, ready-to-use information rather than requiring expensive real-time processing of raw data.
3Reliability
If technicians acquire extensive technical knowledge, then service quality improves, but training cost and time increase
Solution Approach 1:
The diagnostic system enables self-service by providing technicians with automated diagnostic guidance and decision support. The system autonomously searches through multiple corpuses, analyzes vehicle data, and presents diagnostic recommendations, allowing technicians to access expert-level knowledge without requiring extensive personal training or experience.
Solution Approach 2:
The system implements feedback mechanisms that learn from diagnostic outcomes and continuously improve service quality. By analyzing successful diagnostic cases and outcomes, the system refines its algorithms and updates the corpuses, allowing service quality to improve over time without requiring proportional increases in technician training.
Data Source
AI summary
A vehicle diagnostic system and method utilizing a plurality of diagnostic data corpuses. A first corpus comprises conventional and well-known diagnostic data useful in a broad range of common service tasks. A second corpus comprises less well-known diagnostic data useful in less common service tasks. One or more specialty corpuses may comprise obscure, protected, or emerging diagnostic data for the last-common tasks specific to particular manufacturers of the vehicle or its components. The second corpus and one or more specialty corpuses may offer access only to users that have acquired sufficient authorization.