Dynamic Vehicle Diagnostic Thresholds for Sensor Accuracy
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Solution Overview
Problem
Existing vehicle diagnostic systems lack the ability to detect optimal behavior and may generate false failure alerts or miss malfunctions due to incorrect threshold settings, which can vary with factors like mileage and age, leading to inefficient maintenance.
Innovation Solution
A system that wirelessly transmits OBD data to a local computer for classification and processing, using a server to set dynamic deviation ranges based on similar vehicles, allowing for accurate detection of sensor malfunctions and providing solutions through a database of previous events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predetermined threshold values are used for sensor parameters, then the diagnostic system is simple to operate, but it generates false failure alerts or misses malfunctions due to changing optimal values with mileage and age
Solution Approach 1:
The patent implements dynamic threshold values that automatically adapt to vehicle mileage and age. The system collects sensor data from vehicles with known mileage and age, processes this data to determine optimal threshold ranges for each sensor, and updates the thresholds dynamically based on the specific vehicle's mileage and age. This eliminates the need for static predetermined thresholds while maintaining diagnostic accuracy across different vehicle conditions.
Solution Approach 2:
The diagnostic system performs self-calibration by automatically collecting and processing sensor data from vehicles to determine optimal threshold ranges. The system uses the vehicle's own operational data (mileage, age, sensor readings) to self-adjust and refine the diagnostic thresholds without requiring external intervention or manual configuration, thereby improving reliability while keeping the user interface simple.
2Measurement precision
If static threshold values are used for all vehicles, then the system is easy to implement, but it cannot detect optimal behavior for vehicles with different mileage and age
Solution Approach 1:
The patent applies local quality by determining sensor threshold ranges specific to each vehicle's unique combination of mileage and age. Instead of using a single universal threshold for all vehicles, the system calculates and applies customized threshold ranges tailored to each vehicle's specific condition. This allows precise sensor reading evaluation for each individual vehicle while maintaining a unified system architecture.
Solution Approach 2:
The system dynamically changes the threshold parameters based on vehicle mileage and age. The patent processes sensor data from vehicles with varying mileage and age to establish different threshold ranges for different vehicle conditions. The threshold parameters are updated and adjusted according to the specific vehicle's mileage and age, enabling accurate detection of optimal sensor behavior for each vehicle's unique condition.
3Reliability
If the system collects and processes data from multiple vehicles to set dynamic thresholds, then diagnostic reliability improves, but data processing complexity and time increase
Solution Approach 1:
The patent performs preliminary action by pre-processing and storing sensor data from multiple vehicles in a database before actual diagnostic use. The system collects and processes historical data to establish baseline threshold ranges in advance, so that when a specific vehicle needs diagnostic evaluation, the processed data is already available for quick reference. This preliminary data preparation reduces real-time processing requirements while maintaining high diagnostic reliability.
Data Source
AI summary
A system for providing optimal state indication of a vehicle, which comprises a communication adapter adapted for wirelessly transmitting the on-board diagnostics (OBD) interface of the vehicle to a local computer system including Diagnostic Trouble Code (DTC), ECU identifications, and data readings from one or more sensors of the vehicle; a local computer system (e.g., tablet, PC, smartphone) provided with dedicated software adapted for collecting vehicle data readings and which is capable of automatically identifying the vehicle upon communicating with the OBD of the vehicle via the communication adapter; a server adapted to receive the collected vehicle data from the local computer system, classifying the vehicles into groups according to mileage range, age of vehicle, model, etc. and processing the collected vehicle data for detecting deviations of data that exceeds the allowed range, with respect to each individual sensor of the vehicle, by identifying previous events relevant for the data within the same classified group and compare them with the collected vehicle data and report the processing results to the local computer system or to other local computer systems for sharing the results with other persons/experts.