Mobile Device Pressure Sensor Calibration Logic
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Solution Overview
Problem
The pressure sensor of a mobile device cannot be calibrated at every location, especially in environments with significant pressure variations such as buildings with HVAC systems or vehicles, due to uncertainty in true altitude and adverse temperature effects.
Innovation Solution
A process is described to determine when to calibrate a pressure sensor of a mobile device by using weighted metric values based on metrics such as flatness, pressure variation effects, building overlap, and internal temperature, to assess the quality of the opportunity for calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure sensor calibration is performed at every location, then measurement precision is improved, but device complexity and energy consumption increase due to unnecessary calibrations in unsuitable environments
Solution Approach 1:
The system changes the calibration frequency parameter dynamically based on environmental parameters (temperature, pressure stability, location type). Instead of fixed periodic calibration, the calibration interval is adjusted according to whether the current environment meets predefined calibration suitability criteria, thereby avoiding unnecessary calibrations in unsuitable environments while maintaining accuracy when conditions permit.
Solution Approach 2:
The system continuously monitors environmental parameters (temperature, pressure variations, location characteristics) and uses this feedback to determine whether calibration conditions are met. This feedback mechanism enables the system to adapt calibration timing to actual environmental conditions, preventing energy waste on calibrations performed in unsuitable environments while ensuring calibration occurs when conditions are favorable.
2Reliability
If pressure sensor calibration is performed frequently, then reliability is improved, but measurement precision deteriorates due to calibrations performed in environments with pressure variations from HVAC systems or vehicles
Solution Approach 1:
The system changes the calibration frequency parameter dynamically based on environmental parameters (temperature, pressure stability, location type). Instead of fixed periodic calibration, the calibration interval is adjusted according to whether the current environment meets predefined calibration suitability criteria, thereby avoiding unnecessary calibrations in unsuitable environments while maintaining accuracy when conditions permit.
Solution Approach 2:
The system continuously monitors environmental parameters (temperature, pressure variations, location characteristics) and uses this feedback to determine whether calibration conditions are met. This feedback mechanism enables the system to adapt calibration timing to actual environmental conditions, preventing energy waste on calibrations performed in unsuitable environments while ensuring calibration occurs when conditions are favorable.
3Productivity
If pressure sensor calibration is performed in all environments, then productivity is improved through continuous calibration, but measurement precision worsens due to adverse temperature effects and pressure variations in HVAC systems and vehicles
Solution Approach 1:
The system changes the calibration frequency parameter dynamically based on environmental parameters (temperature, pressure stability, location type). Instead of fixed periodic calibration, the calibration interval is adjusted according to whether the current environment meets predefined calibration suitability criteria, thereby avoiding unnecessary calibrations in unsuitable environments while maintaining accuracy when conditions permit.
Solution Approach 2:
The system continuously monitors environmental parameters (temperature, pressure variations, location characteristics) and uses this feedback to determine whether calibration conditions are met. This feedback mechanism enables the system to adapt calibration timing to actual environmental conditions, preventing energy waste on calibrations performed in unsuitable environments while ensuring calibration occurs when conditions are favorable.
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 and reliability of altitude determination by ensuring calibration occurs only under favorable conditions, reducing errors caused by pressure variations and temperature effects, and conserving battery life by avoiding unnecessary calibrations.
Implementation Method 1
altitude can be computed using a measurement of pressure from a calibrated pressure sensor of a mobile device
Implementation Method 2
a measurement of ambient temperature from the network or other source
Data Source
AI summary
A method involves determining weighted metric values for each metric of a plurality of metrics by applying a weight for each metric to a determined value of each metric. The method further involves using the weighted metric values to determine if a pressure sensor of a mobile device should be calibrated using information associated with the first location, and if a determination is made that the pressure sensor of the mobile device should be calibrated using information associated with the first location, then using the information associated with the first location to calibrate the pressure sensor of the mobile device.


