Ventilation Leakage Detection via Flow Profile Analysis
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Solution Overview
Problem
Current ventilation systems face challenges in reliably detecting and differentiating between mask and mouth leakages, leading to increased energy consumption and noise, particularly in mobile devices, as existing methods require hospital admission and additional sensors for accurate detection.
Innovation Solution
A monitoring system with a monitoring device that automatically determines leakage rates by recording time profiles and measuring changes in leakage parameters, specifically identifying mouth leakages through abrupt reversals, allowing for reliable detection and differentiation from other leakage types, even by inexperienced users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional sensors and hospital admission are used to detect leakage type, then measurement precision is improved, but device complexity and loss of time are worsened
Solution Approach 1:
The patent extracts the essential detection function from complex hospital-based systems by using only the existing flow sensor data. The monitoring device isolates and analyzes specific flow parameter patterns (leakage flow characteristics) to identify mouth leakage without requiring additional sensors or hospital infrastructure, thereby maintaining measurement precision while reducing device complexity
Solution Approach 2:
The patent replaces complex mechanical sensor systems with a software-based analysis approach. By substituting physical additional sensors with algorithmic analysis of existing flow data, the system achieves accurate leakage type detection through digital signal processing and pattern recognition, reducing hardware complexity while maintaining or improving detection accuracy
2Productivity
If fan speed is increased to compensate for leakage losses, then productivity is improved, but use of energy and noise are worsened
Solution Approach 1:
The patent implements a feedback mechanism where the monitoring device continuously analyzes flow parameters to detect mouth leakage in real-time. When mouth leakage is detected, the system provides feedback to alert the user to close their mouth, enabling dynamic adjustment of ventilation effectiveness without increasing fan speed, thus reducing energy consumption while maintaining productivity
Solution Approach 2:
The system enables self-service by automatically detecting and alerting users about mouth leakage conditions. The monitoring device autonomously identifies leakage type and notifies the user, who can then take corrective action (closing mouth) without external intervention, maintaining ventilation effectiveness while avoiding unnecessary energy consumption from continuous fan speed increases
3Ease of operation
If automatic detection is implemented, then ease of operation is improved, but device complexity is worsened
Solution Approach 1:
The patent merges the monitoring and detection functions into the existing ventilator system's processing unit. By combining the analysis of flow parameters with the existing control architecture, the system achieves automatic mouth leakage detection without adding separate complex subsystems, thereby improving ease of operation while minimizing increases in device complexity
Solution Approach 2:
The system performs self-service by automatically analyzing flow data and identifying mouth leakage conditions without user intervention. The monitoring device autonomously processes sensor data, applies detection algorithms, and generates alerts, making the complex detection process transparent to the user and significantly improving ease of operation
Data Source
AI summary
A monitoring system for detecting leakages during ventilation with a ventilator, comprising a monitoring device for determining a leakage rate from a leakage parameter detected by sensors. The monitoring device is configured for recording a time profile of the leakage parameter, for determining a measure for a rate of change of the leakage parameter in the time profile, and for detecting a mouth leakage in accordance with the measure, such that a mouth leakage can be differentiated from at least one other leakage type.