Aircraft Lavatory Leak And Overflow Detection Control
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Solution Overview
Problem
Aircraft lavatories face issues with waste water overflow due to faulty rinse valves and erroneous waste volume detection, leading to discomfort and inconvenience for passengers, while manual detection methods are inefficient.
Innovation Solution
Implementing an overflow detection system with sensors and a controller to automatically detect and prevent overflow by closing valves, and a leak detection system using acoustic emission sensors and neural networks to identify leaks in real-time, enhancing accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual detection methods are used for overflow, then system complexity is reduced, but detection reliability and response time deteriorate
Solution Approach 1:
The patent replaces manual mechanical detection with automated sensor-based detection systems. Optical sensors, capacitive sensors, or ultrasonic sensors are used to detect waste water levels automatically, eliminating the need for manual visual inspection and improving detection reliability while enabling real-time monitoring and automated responses.
Solution Approach 2:
The system enables self-service through automated detection and response mechanisms. When sensors detect overflow conditions, the system automatically activates alarms, closes isolation valves, or activates pumping systems without requiring manual intervention, thereby improving reliability and reducing operational burden.
2Measurement precision
If typical waste volume detection is used, then device complexity is reduced, but measurement precision deteriorates leading to erroneous readings
Solution Approach 1:
The patent replaces simple mechanical float-based detection with advanced sensing technologies including optical sensors, capacitive sensors, or ultrasonic sensors. These sensors provide more precise measurements of waste water volume and level, reducing erroneous readings while enabling differentiated detection of various waste levels for more informed decision-making.
3Loss of time
If automated overflow detection systems are implemented, then response time is improved, but device complexity increases
Solution Approach 1:
The patent implements preliminary action by detecting waste water levels before actual overflow occurs. Sensors are positioned to detect approaching overflow conditions, allowing the system to activate warnings or preventive measures in advance, thereby reducing the time loss associated with overflow events while managing complexity through proactive rather than reactive detection.
Solution Approach 2:
The system employs feedback mechanisms where sensor data is continuously monitored and fed back to control systems. This enables real-time detection and automatic response to overflow conditions, significantly improving response time. The feedback loop includes alarm activation, automated valve control, and pumping system activation based on sensor inputs.
4Measurement precision
If acoustic emission sensors with neural networks are used for leak detection, then measurement precision is improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent replaces simple acoustic sensors with advanced acoustic emission sensors coupled with neural network-based signal processing. These systems detect subtle acoustic signatures of leaks with high precision by analyzing frequency, amplitude, and temporal patterns of acoustic emissions, significantly improving leak detection accuracy while managing computational complexity through optimized algorithms.
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 systems provide advanced, automated detection and prevention of overflow and leaks, improving passenger comfort and safety by reducing manual intervention and ensuring timely responses to potential issues.
Implementation Method 1
a leak detection system using acoustic emission sensors and neural networks to identify leaks in real-time
Data Source
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AI summary
A leak and/or overflow detection system for an aircraft may comprise a first sensor (210) configured to be disposed in a toilet bowl, a second sensor configured to be disposed in a waste tank (208), a first acoustic emission sensor and a second acoustic emission sensor configured to be disposed upstream and downstream of a valve, or any combination of the first sensor (210), the second sensor, and the acoustic emission sensors. A controller (250) may receive various data from the sensors and determine whether a leak and/or an overflow condition is occurring or about to occur.