Airbed Pressure Diagnostics for Automatic Leak Classification
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Solution Overview
Problem
Consumer airbeds often require manual inspection for leaks, which can be time-consuming and inefficient, and existing automated systems lack the ability to accurately differentiate between normal air loss and leaks, leading to potential under-inflation or over-inflation issues.
Innovation Solution
A data processing system integrated with an airbed that senses pressure readings and compares them to target values, using thresholds for slow-leak and catastrophic-leak detection to automatically adjust air pressure and report leaks, enabling automated leak detection and correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection for leaks is performed, then leak detection can be conducted, but it is time-consuming and inefficient
Solution Approach 1:
The airbed system performs self-diagnosis by automatically monitoring its own air pressure through integrated sensors and processing units, eliminating the need for manual inspection. The system independently detects leaks, classifies their severity, and reports them without human intervention.
Solution Approach 2:
The patent replaces manual mechanical inspection with an automated electronic monitoring system that uses pressure sensors, microprocessors, and algorithms to detect and analyze air loss, substituting human labor with automated technological systems.
2Productivity
If automated leak detection is implemented, then inspection efficiency is improved, but existing systems cannot accurately differentiate between normal air loss and leaks
Solution Approach 1:
The system dynamically adjusts monitoring parameters and classification thresholds based on operational conditions. It uses adaptive algorithms that consider the duration, rate, and pattern of air pressure changes to distinguish between normal gradual deflation and actual leaks, improving detection accuracy under varying conditions.
Solution Approach 2:
The system continuously monitors air pressure changes and provides real-time feedback to the control algorithm. By analyzing the feedback loop of pressure readings over time and comparing them against expected normal decay patterns, the system can accurately identify deviations indicating leaks while filtering out normal air loss.
3Ease of operation
If automated pressure adjustment is implemented, then user comfort is improved, but the system may cause under-inflation or over-inflation issues
Solution Approach 1:
The system performs preliminary classification of air pressure changes before triggering inflation adjustments. By pre-analyzing whether pressure changes indicate normal loss or leaks using classification algorithms, the system avoids unnecessary inflation actions that could lead to over-inflation, while ensuring timely correction of actual leaks.
Solution Approach 2:
The system changes operational parameters such as inflation timing, duration, and pump activation based on the classified leak severity and current pressure state. By dynamically adjusting these parameters rather than using fixed responses, the system achieves precise pressure control that prevents both under and over-inflation.
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 system ensures the airbed maintains desired pressure levels by accurately identifying and addressing leaks, reducing the need for manual inspection and improving user comfort and safety.
Implementation Method 1
sense a pressure readings of the air-mattress indicative of the air pressure of the air-mattress
Data Source
AI summary
A data processing system is configured to sense a pressure readings of an air-mattress. If the pressure readings are below a target pressure value representing a desired pressure for the air-mattress, the data processing system can transmit, to an air-pump, first instructions to increase the air pressure of the air mattress and determine a replacement value representing the amount of air pumped into the air mattress by the air-pump. The data processing system can compare the replacement value to a slow-leak threshold and to a catastrophic-leak threshold. The data processing system can, responsive to a determination that the replacement value is greater than the slow-leak value and less than the catastrophic-leak value, transmit, to the air-pump, second instructions to increase the air pressure of the air mattress to replace air in the air mattress lost to a slow leak so as to maintain the desired pressure for the air-mattress.