Vehicle Sensor Condition Checking Using Location-Based Data Comparison
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Solution Overview
Problem
Existing methods for evaluating the condition of vehicle sensors require removal from the vehicle and testing on a separate test bench, increasing complexity and reducing the practicality of frequent examinations.
Innovation Solution
A method for evaluating sensor condition by comparing data collected from the sensor to data from other sources or previous data points while the sensor remains mounted on the vehicle, using a vehicle's processor to determine the sensor's condition based on location and statistical analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor removal and separate test bench testing is used, then measurement precision can be ensured, but device complexity and loss of time increase
Solution Approach 1:
The patent uses an intermediary processing system that receives data from multiple sensors (including the sensor under test and reference sensors), compares the data, and determines sensor condition. This intermediary system eliminates the need for physical removal and separate test benches, reducing device complexity while maintaining evaluation accuracy through multi-source data comparison.
Solution Approach 2:
The patent creates a virtual copy of the test bench environment by using data from reference sensors and processed comparisons to simulate the evaluation that would occur on a physical test bench. This allows in-vehicle real-time evaluation without requiring the actual test bench infrastructure, reducing both device complexity and time loss.
2Measurement precision
If sensor removal and separate test bench testing is used, then measurement precision can be ensured, but loss of time increases
Solution Approach 1:
The patent enables continuous sensor monitoring by processing sensor data in real-time while the sensor remains in the vehicle. Multiple data points are collected continuously and compared against reference data, allowing ongoing sensor condition evaluation without interruption to vehicle operation or sensor removal, thus eliminating time loss while maintaining precision through continuous validation.
Solution Approach 2:
The system performs preliminary comparisons of sensor data against reference data and stored historical data before sensor failure occurs. By continuously evaluating sensor condition in advance, the system can detect degradation trends and predict failures, eliminating the need for time-consuming removal and separate testing while maintaining measurement precision through proactive monitoring.
3Productivity
If real-time in-vehicle sensor evaluation is implemented, then productivity increases, but measurement precision may deteriorate
Solution Approach 1:
The patent merges data from multiple sources including the sensor under test, reference sensors, and stored historical data into a unified evaluation process. By combining these diverse data streams and using multi-parameter comparison, the system achieves both real-time processing speed and high measurement precision, as the convergence of multiple data points compensates for the reduced time available for individual measurements.
Solution Approach 2:
The system implements feedback loops where sensor data is continuously compared against reference data and previous measurements, with results used to adjust evaluation parameters and trigger alerts. This feedback mechanism ensures measurement precision by validating real-time data against established benchmarks, while maintaining productivity through automated real-time processing without requiring manual intervention or sensor removal.
Data Source
AI summary
A method for examining a condition of a vehicle sensor may include collecting a first data point from a first sensor at a first data collection point, wherein the first sensor is configured on a vehicle, determining a location of the first data collection point, comparing the first data point to a previously collected data point from the first sensor from a second data collection point, wherein the first data collection point and the second data collection point are within a predetermined distance of one another, and determining a condition of the first sensor.