Vehicle Component Anomaly Detection via Collaborative Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicles lack adequate instrumentation to predict mechanical failures, leading to unexpected and potentially catastrophic breakdowns, which is a concern for both insurance and commercial fleets.
Innovation Solution
A computer-implemented method that compares the operating conditions of vehicle components to similar components within the same vehicle, nearby vehicles, or expert-recommended values, generating alerts when deviations exceed a threshold, thereby providing early warnings for potential failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles are not instrumented with monitoring systems, then device complexity is reduced, but reliability deteriorates due to inability to predict failures
Solution Approach 1:
The system enables vehicles to self-monitor and self-diagnose by comparing their own component data against historical data and other vehicles, eliminating the need for external monitoring infrastructure and reducing overall system complexity while improving reliability
Solution Approach 2:
The monitoring system is designed to be universally applicable across different vehicle types and components, using a standardized platform that can monitor various operating conditions (temperature, pressure, vibration) across multiple components simultaneously, reducing complexity through reuse
2Measurement precision
If vehicles compare operating conditions with multiple data sources (same vehicle components, other vehicles, database), then measurement precision improves for anomaly detection, but device complexity increases
Solution Approach 1:
The system merges multiple data sources (internal sensors, other vehicles' data, historical databases) into a unified comparison framework, achieving high measurement precision through data fusion while managing complexity through integrated processing architecture
Solution Approach 2:
The system creates virtual copies of component behavior models and compares actual sensor data against these copies, enabling precise anomaly detection through simulation-based comparison without requiring physical replicas of components
3Loss of time
If real-time monitoring and alerting systems are implemented, then loss of time is reduced by early failure detection, but device complexity increases
Solution Approach 1:
The system performs preliminary comparisons of operating conditions against established norms and thresholds continuously, preparing anomaly detection in advance so that when deviations occur, alerts are generated immediately without requiring complex real-time analysis at the moment of failure
Solution Approach 2:
The system implements continuous feedback loops where monitoring data is constantly compared with expected ranges, and alerts provide feedback to operators, enabling rapid response to anomalies while maintaining relatively simple system architecture through straightforward comparison logic
Data Source
AI summary
A computer-implemented method includes: determining, by a computer device, a value of an operating condition of a component of a vehicle; obtaining, by the computer device, a comparison value for the operating condition from one of: a same type component on the same vehicle; a same type component on at least one other vehicle; and a remote database; comparing, by the computer device, the determined value to the comparison value; determining, by the computer device and based on the comparing, whether the determined value deviates from the comparison value by more than a threshold amount; and generating an alert in the vehicle based on the determining the determined value deviates from the comparison value by more than the threshold amount.