Barometric Sensor Calibration via Altitude Context Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Barometric pressure sensors in mobile devices are prone to drift and require frequent calibration, especially in urban environments where precise altitude estimation is challenging due to incorrect device positioning and inaccurate terrain data, leading to potential delays in emergency responses or incorrect location determination.
Innovation Solution
A method involving altitude contextualization to validate and generate combined calibration values for barometric pressure sensors using atmospheric pressure data, where calibration values are validated and filtered based on aggregated overlap regions and ranges, allowing for accurate calibration even in environments with wide distributions of possible altitudes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If barometric pressure sensor calibration is performed at every location, then calibration accuracy improves, but device complexity and computational overhead increase
Solution Approach 1:
The system performs preliminary actions by generating aggregated calibration value overlap regions and ranges in advance at locations with wide altitude distributions. These pre-computed validation criteria are then used to quickly validate calibration values at subsequent locations, avoiding complex real-time computations while maintaining high calibration accuracy.
Solution Approach 2:
The patent introduces intermediary structures (aggregated calibration value overlap regions and ranges) that mediate between raw calibration data and final calibration decisions. These intermediaries simplify the validation process by providing pre-defined acceptance criteria, reducing computational complexity while preserving measurement precision.
2Reliability
If calibration is performed frequently, then sensor drift compensation improves, but time consumption and operational overhead increase
Solution Approach 1:
The system performs partial calibration validation by checking only the essential criteria (whether calibration values fall within pre-defined overlap regions and ranges) rather than performing complete re-calibration at every location. This partial action approach maintains sensor reliability while significantly reducing the time required compared to full calibration procedures.
Solution Approach 2:
By pre-computing validation criteria at strategic locations, the system eliminates time-consuming computations during frequent calibration operations. The preliminary preparation of overlap regions and ranges enables rapid validation that maintains reliability without excessive time consumption.
3Measurement precision
If calibration values are validated using strict criteria, then calibration quality improves, but the number of usable calibration values decreases
Solution Approach 1:
The patent merges multiple calibration values into aggregated overlap regions and ranges, combining information from multiple sources to create comprehensive validation criteria. This merging approach maintains strict quality standards while increasing the pool of usable calibration data by utilizing contributions from multiple calibration attempts.
Solution Approach 2:
The system creates copied representations of calibration data in the form of overlap regions and ranges, allowing multiple calibration values to be evaluated against standardized templates. This copying mechanism enables strict validation while preserving quantity by allowing multiple instances to be validated against the same rigorous criteria.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the accuracy of altitude estimation by filtering out erroneous calibration values and generating precise combined calibration values, enhancing the reliability of barometric pressure sensor calibration in diverse environments.
Implementation Method 1
measuring a measurement of atmospheric pressure using a barometric pressure sensor of the mobile device
Data Source
AI summary
A method involves measuring atmospheric pressure data using a barometric pressure sensor of a mobile device and determining an estimated position of the mobile device using positioning data. A calibration value for calibrating the barometric pressure sensor of the mobile device is determined using the atmospheric pressure data and added to a set of calibration values. If the estimated position of the mobile device corresponds to a location that has a wide distribution of possible altitudes, an aggregated calibration value overlap region and an aggregated calibration value range are generated using the set of calibration values. A set of validated calibration values are generated by validating the set of calibration values using a previously generated aggregated calibration value overlap region and a previously generated aggregated calibration value range. A combined calibration value is generated using the set of validated calibration values and used to calibrate the barometric pressure sensor.