Backend Server Error Pattern Matching for Vehicle Diagnostics
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Solution Overview
Problem
Current methods for handling vehicle error reports are inefficient, as they require manual analysis by quality experts and lack automated linking of known problems across service institutions, leading to repetitive processing of individual diagnostic data and inadequate focus on emerging customer issues.
Innovation Solution
A method for remotely handling error reports involves sending data from vehicles to a back-end server, where error patterns are automatically matched with configuration requirements to generate a troubleshooting operation, allowing for remote correction of errors during or outside of a garage, using sensor technology and data comparison algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of error reports is performed by quality experts, then accuracy in identifying error patterns is improved, but time consumption and processing efficiency deteriorate
Solution Approach 1:
The system enables self-service by automatically analyzing error reports using onboard diagnostic data and backend server algorithms. The vehicle's own diagnostic system identifies and communicates errors without requiring manual expert analysis, thus reducing time consumption while maintaining accuracy through automated pattern recognition.
Solution Approach 2:
The manual mechanical process of expert analysis is replaced by an automated electronic system. The backend server uses algorithms to process diagnostic data, identify error patterns, and generate troubleshooting operations, substituting human expert manual work with automated computational analysis.
2Ease of operation
If individual vehicle diagnostic data is processed by service providers, then specific vehicle issues are addressed, but repetitive processing of the same errors across multiple vehicles increases time consumption
Solution Approach 1:
The system merges individual vehicle diagnostic data with a centralized backend server that aggregates error patterns across multiple vehicles. By combining individual case processing with collective pattern recognition, the system addresses specific vehicle issues while simultaneously learning from and applying knowledge from other vehicles, eliminating repetitive analysis.
Solution Approach 2:
The backend server provides universal functionality by serving multiple service providers and vehicles simultaneously. It processes individual vehicle diagnostics while maintaining a shared knowledge base of error patterns that can be applied universally across all connected vehicles, allowing one system to handle both specific and general error resolution.
3Reliability
If alarm systems predict possible errors, then early warning is provided, but lack of concrete troubleshooting information reduces operational effectiveness
Solution Approach 1:
The system implements feedback by not only detecting errors but also providing structured troubleshooting operations back to the service provider. The backend server analyzes diagnostic data, identifies error patterns, and returns specific actionable troubleshooting steps, creating a closed-loop feedback system that transforms raw error detection into effective corrective action.
Solution Approach 2:
The system performs preliminary action by pre-calculating and storing troubleshooting operations in the backend server. When an error is detected, the system retrieves pre-prepared troubleshooting steps rather than requiring real-time expert analysis, thus providing both early warning and immediate actionable guidance.
4Device complexity
If one-way alarm communication is used, then error notification is simple, but lack of two-way communication prevents direct interaction between service providers and error databases
Solution Approach 1:
The backend server acts as an intermediary between service providers and the error database system. It receives diagnostic data from vehicles, processes it through pattern recognition algorithms, and communicates troubleshooting operations back to service providers, enabling two-way communication while maintaining system simplicity through a centralized mediation point.
Data Source
AI summary
The invention relates to a method for remotely handling a conspicuity pattern or error report of a means of transport (1a-1d) comprising the steps of: receiving the conspicuity pattern of error report (ER) from the means of transport (1a-1d) on a back-end server (3); automatically determining an error pattern (F1-F6) stored on the back-end server (3) as a function of the error report (ER), in response thereto automatically determining a configuration requirement as a function of the stored knowledge; automatically generating and sending a configuration request representing a union set of the respective configuration requirements to the means of transport (1a-1d); receiving (500) a configuration specification in response to the configuration request on the back-end server (3); and automatically determining an action, like e.g. a troubleshooting operation or an information based on the configuration specification by the back-end server (3).