Mobile Device Atmospheric Model Using Pressure and Altitude Data
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Solution Overview
Problem
Conventional mobile devices relying on distant ground-based weather stations for weather data often provide inaccurate localized weather conditions due to differences in measured weather and actual conditions at the device's location.
Innovation Solution
A mobile device equipped with a pressure sensor and GPS module generates an atmospheric model using pressure and location data, including altitude, to estimate ambient air temperature and weather conditions, providing more accurate localized information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If mobile devices use distant ground-based weather station data, then device complexity is reduced, but measurement precision of localized weather conditions deteriorates
Solution Approach 1:
The mobile device performs self-service by using its own pressure sensor and GPS module to generate localized atmospheric models, eliminating the need for complex external weather station infrastructure while achieving high measurement precision for localized conditions
Solution Approach 2:
The system changes parameters by collecting pressure and location data at multiple altitudes and using these varying parameters to generate atmospheric models that accurately represent localized weather conditions without requiring complex device infrastructure
2Measurement precision
If mobile devices collect pressure and location data at multiple locations, then measurement precision of atmospheric model improves, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by collecting pressure and location data at multiple altitudes beforehand, storing this data for later use in generating atmospheric models, which reduces time loss when actual weather predictions are needed
Solution Approach 2:
The system maintains continuity of useful action by continuously collecting and updating pressure and location data as the mobile device moves through different locations, ensuring the atmospheric model remains current without requiring repeated full measurement cycles
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
The solution enables mobile devices to accurately determine localized temperature and pressure, offering improved altitude determination, weather prediction, and location-based services by generating a precise atmospheric model, surpassing the limitations of distant weather station data.
Implementation Method 1
A mobile device equipped with a pressure sensor and GPS module generates an atmospheric model using pressure and location data
Implementation Method 2
A mobile device equipped with a pressure sensor and GPS module generates an atmospheric model using pressure and location data, including altitude
Implementation Method 3
generates an atmospheric model using pressure and location data, including altitude, to estimate ambient air temperature and weather conditions
Data Source
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AI summary
A mobile device comprising a pressure sensor for collecting pressure data, a position-determining subsystem for generating location data including altitude data, and a processor operatively coupled to a memory to generate an atmospheric model based on the pressure data and the location data. In one implementation, the processor is configured to determine an Above Mean Sea Level (AMSL) altitude using a position-determining subsystem, determine a pressure altitude using the pressure sensor, calculate a difference between the pressure altitude and the AMSL altitude, and calculate a temperature at sea level based on the AMSL altitude and pressure altitude. In one implementation, the processor performs a linear regression on an equation AMSL altitude = offset + ScaleFactor* PressureAltitude to solve for the offset and the ScaleFactor, and then estimates the temperature at sea level as 1-ScaleFactor = (T-15)/3. The model may be used to estimate ambient air temperature or weather conditions.