Door Damper Gas Pressure Conversion Using a Smartphone App
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Solution Overview
Problem
Current methods for calculating the actual gas pressure of aircraft door dampers at 20°C are either complex and costly, using compensated pressure gauges or require temperature measurement with conversion tables, which increase weight and complexity.
Innovation Solution
A method utilizing a smart device to receive pressure and temperature inputs from non-compensated pressure gauges, applying conversion algorithms to calculate and output the pressure at 20°C, optionally using image processing, temperature sensors, and augmented reality for visual feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a compensated pressure gauge is used to read pressure at 20°C, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The compensated pressure gauge is divided into two separate components: a simple non-compensated pressure gauge for measuring pressure and a separate computing device for performing the temperature compensation calculation. This segmentation allows the pressure measurement function to remain simple while the compensation logic is handled independently through software or algorithms.
Solution Approach 2:
The mechanical/physical compensation mechanism inherent in compensated pressure gauges is replaced with a computational approach. The computing device uses algorithms to calculate the actual pressure at 20°C based on the reading from the non-compensated gauge and temperature data, substituting complex mechanical design with software-based processing.
2Device complexity
If a standard pressure gauge with conversion table is used, then device complexity is reduced, but ease of operation deteriorates due to manual calculation requirements
Solution Approach 1:
The system performs automatic temperature compensation without requiring manual intervention from the operator. The computing device automatically retrieves temperature data, applies the conversion algorithm, and provides the corrected pressure reading, allowing the system to service itself rather than relying on human calculation.
Solution Approach 2:
The system implements an automatic feedback loop where the computing device continuously monitors temperature, adjusts the pressure reading accordingly, and provides corrected output. This automated feedback eliminates manual calculation steps and ensures accurate real-time pressure monitoring.
3Device complexity
If manual pressure input is used, then device requirements are simplified, but productivity decreases due to manual data entry
Solution Approach 1:
Manual data entry is replaced with automated image recognition technology. The smart device's camera captures an image of the pressure gauge, and image processing algorithms automatically extract the pressure reading, eliminating the need for manual typing or input while maintaining device accessibility.
Solution Approach 2:
Instead of manually transcribing the pressure reading, the system creates a digital copy of the gauge display through image capture and automatically processes this copy to extract the numerical value. This copying approach automates the data input process while preserving accuracy.
4Measurement precision
If temperature measurement and conversion tables are used, then measurement precision is maintained, but weight and device complexity increase
Solution Approach 1:
The smart device performs multiple functions including pressure reading capture, temperature measurement, automated conversion calculation, and result display, all within a single device. This multi-functionality eliminates the need for separate specialized instruments, reducing overall system weight while maintaining measurement precision.
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
Enables accurate and cost-effective determination of gas pressure at 20°C without the need for complex compensated gauges, providing visual and auditory feedback on pressure ranges, thus simplifying maintenance and reducing weight and cost.
Implementation Method 1
using image processing to determine, based on said captured image, said actual pressure of said gas bottle of said door damper at ambient temperature
Implementation Method 2
the smart device may comprise, or be connected or associated with, a thermal camera and the step of receiving said temperature input may comprise obtaining said ambient temperature input from said thermal camera
Data Source
AI summary
A method of calculating and outputting pressure information about the status of an actual pressure of a gas bottle of a door damper at 200 C, performed on a smart device. The method includes receiving, from a non-compensated pressure gauge, a pressure input indicating an actual pressure of said gas bottle of said door damper at ambient temperature, receiving a temperature input indicating an actual temperature of said gas bottle of said door damper, and using said inputs to calculate and convert said actual pressure of said gas bottle of said door damper at ambient temperature to a pressure at a temperature of 200 C, and further comprising outputting pressure information about the status of the gas bottle of said door damper based on said converted pressure at 200 C.
