Diagnostic Router for Vehicle Data Routing
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Solution Overview
Problem
Current systems lack an efficient method to route vehicle data, including diagnostic information, based on resource availability, processing capabilities, and urgency, which hinders effective vehicle diagnostics and safety applications in V2X communication systems.
Innovation Solution
A vehicle diagnostic system comprising a data acquisition and transfer device, first and second diagnostic servers, and a diagnostic router that assesses processing capabilities and latency to determine the optimal resource for routing vehicle data, enabling efficient processing and implementation of desired functionalities, such as identifying vehicle fixes and alerting nearby drivers of critical conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle data is routed to multiple diagnostic servers simultaneously, then diagnostic accuracy is improved through comprehensive analysis, but system complexity and processing time increase
Solution Approach 1:
The patent segments the diagnostic system into multiple specialized servers (diagnostic server, safety server, routing server) that handle different aspects of vehicle data analysis. Each server is responsible for specific functions, allowing comprehensive diagnostic coverage while maintaining manageable system complexity through clear division of labor.
Solution Approach 2:
The routing server acts as an intermediary that receives vehicle data and intelligently directs it to appropriate diagnostic servers based on assessed needs. This mediator coordinates between multiple servers, enabling comprehensive analysis without requiring all servers to process all data simultaneously, thus reducing unnecessary complexity.
2Reliability
If vehicle data is transmitted to remote diagnostic databases, then comprehensive diagnostic analysis is achieved, but data transmission time and latency increase
Solution Approach 1:
The routing server performs preliminary assessment of vehicle data and routing needs before transmitting data to remote databases. By pre-evaluating which data requires remote analysis and preparing routing decisions in advance, the system minimizes unnecessary transmission delays while ensuring comprehensive analysis occurs only when needed.
Solution Approach 2:
The system dynamically adjusts data routing decisions based on real-time conditions, data characteristics, and server availability. The routing server can adaptively choose between local processing and remote database analysis, optimizing the balance between diagnostic quality and transmission time based on current system state.
3Speed
If diagnostic data is processed locally on the vehicle, then response time is reduced, but processing capability and resource availability are limited
Solution Approach 1:
The patent implements local quality by enabling vehicles to perform basic diagnostic processing locally with immediate response, while simultaneously maintaining the capability to access comprehensive remote diagnostic databases when enhanced processing is needed. Different levels of processing capability are applied to different data types and diagnostic scenarios.
Solution Approach 2:
The routing server provides universal access to multiple diagnostic resources, allowing the system to function both as a local rapid-response processor and as a gateway to comprehensive remote analysis. The same infrastructure supports both quick local assessments and detailed remote diagnostics, making the system versatile across different diagnostic needs.
4Adaptability or versatility
If multiple diagnostic servers are deployed with different processing capabilities, then diagnostic functionality is enhanced, but difficulty in selecting optimal server increases
Solution Approach 1:
The routing server automatically performs self-service by assessing diagnostic data characteristics and autonomously selecting the most appropriate server for processing. This eliminates the need for manual server selection or complex user decisions, as the system self-determines optimal routing based on predefined criteria and real-time server capabilities.
Solution Approach 2:
The system implements feedback mechanisms where the routing server continuously monitors server performance, availability, and processing capabilities. Based on this feedback, the routing server dynamically adjusts routing decisions to optimize diagnostic functionality while simplifying server selection through data-driven automated choices.
Data Source
AI summary
A vehicle diagnostic system includes a first diagnostic server including a diagnostic database having historical data matched with possible vehicle fixes, and configured to receive retrieved vehicle data and identify a most likely vehicle fix associated therewith. The first diagnostic server is associated with a first processing capability. The system additionally includes a second diagnostic server including a diagnostic algorithm operatively associated therewith and configured to identify a possible vehicle fix based on an assessment of the retrieved diagnostic data according to predefined criteria associated with the diagnostic algorithm. The second diagnostic server is associated with a second processing capability. A diagnostic router is disposable in communication with the first and second diagnostic servers and is configured to determine which one of the first and second diagnostic servers to send retrieved diagnostic data based on an assessment of the retrieved data and the first and second processing capabilities.


