Vehicle Diagnosis Data Correlation for Accurate Component Status
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle diagnosis data analysis systems overwhelm personnel with complex data, leading to 'best guess' decisions based on intuition rather than valid indications of vehicle component status, and lack efficient data collection and storage solutions.
Innovation Solution
A method and system that correlate vehicle diagnosis data from multiple components using machine learning and data mining to form a comprehensive indication of vehicle component status, incorporating sensor data from various sources, including CAN bus information and analogue signals, and determining the validity of the indication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle diagnosis data from multiple components is collected and analyzed, then diagnostic precision is improved, but data complexity increases making it difficult for personnel to comprehend
Solution Approach 1:
The patent introduces an automated analysis system that acts as an intermediary between raw vehicle diagnosis data and human operators. This system correlates data from multiple vehicle components automatically, generating comprehensive status indications without requiring personnel to directly comprehend the complex multi-component data relationships.
Solution Approach 2:
The patent replaces manual data analysis (mechanical human cognition process) with automated computational analysis. The system uses computer-based algorithms to correlate diagnosis data from multiple components, substituting the mechanical process of human comprehension with an automated information processing system that can handle complex data relationships efficiently.
2Reliability
If comprehensive vehicle diagnosis data is collected from multiple components, then status indication accuracy is improved, but data collection and processing time increases
Solution Approach 1:
The patent implements preliminary data collection from multiple vehicle components simultaneously, preparing comprehensive diagnosis data in advance. By collecting and pre-processing data from multiple sources before analysis is needed, the system reduces the time required when actual diagnostic status indication is required, while maintaining high accuracy through comprehensive data coverage.
Data Source
AI summary
The present invention generally relates to a novel concept of analyzing vehicle data for determining e.g. a status of component comprised with the vehicle, specifically by correlating collected vehicle diagnosis data. The invention also relates to a corresponding system and a computer program product. In addition, the invention additionally relates to an arrangement for collecting said vehicle diagnosis data.