Smart Respiratory Mask Module for Leak Detection and Service Life
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Solution Overview
Problem
Current respirator masks rely on guesswork for fit testing and lack end-of-service-life indicators, making it difficult to detect leaks and determine when mask components need replacement, with small leakages often going unnoticed and service life of cartridges being undetermined.
Innovation Solution
An electronics module with pressure, gas, temperature, and humidity sensors is integrated into the mask, providing real-time feedback through lights, sounds, or vibrations during fit tests and continuously monitoring for end-of-service-life thresholds, wirelessly communicating with a user's device to analyze data and indicate when the mask's components have reached the end of their service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fit testing methods are used, then the testing process is simple, but the accuracy of leak detection is poor and small leakages go unnoticed
Solution Approach 1:
The patent replaces manual fit testing methods with electronic sensors and automated systems. Pressure sensors, flow sensors, and microcontrollers are integrated into the respirator mask to automatically detect and quantify leaks, replacing the subjective guesswork of traditional manual testing with objective electronic measurements.
Solution Approach 2:
The system performs self-diagnosis and self-testing through integrated sensors that continuously monitor mask fit and cartridge status. The microcontroller automatically analyzes sensor data to detect leaks and determine end-of-service-life conditions without requiring external testing equipment or personnel.
2Reliability
If no monitoring system is integrated, then the mask structure remains simple, but there is no indication of end-of-service-life for cartridges
Solution Approach 1:
The system continuously monitors parameters such as pressure differential, flow rate, and sensor readings to provide real-time feedback on mask performance and cartridge status. The microcontroller analyzes this feedback data to determine when cartridges have reached end-of-service-life, providing reliable indication through visual or audible alerts.
Solution Approach 2:
The integrated electronics module performs multiple functions including leak detection, fit testing, cartridge monitoring, and end-of-service-life determination. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated unit, managing complexity through functional integration.
3Productivity
If manual fit testing is used, then the device is easy to operate, but the process is time-consuming and requires user guesswork
Solution Approach 1:
The system performs preliminary assessments by continuously monitoring mask fit and environmental conditions before formal fit testing is required. The sensors are already collecting data on pressure differentials and flow rates, so when fit testing is needed, the system can quickly analyze pre-collected data rather than starting from scratch.
Solution Approach 2:
Manual fit testing operations are replaced with automated electronic monitoring and analysis. The microcontroller automatically processes sensor data to determine fit quality, eliminating the need for users to perform manual leak detection procedures and interpret results subjectively.
4Loss of information
If sensors and electronics are integrated, then real-time monitoring is achieved, but the weight and size of the mask increase
Solution Approach 1:
Sensors and electronic components are strategically positioned only where needed for monitoring - such as near the seal interface for pressure sensors and in the cartridge housing for flow sensors. This localized placement provides necessary monitoring data while minimizing the distribution of weight throughout the entire mask structure.
Solution Approach 2:
The system uses miniaturized sensors and low-power electronic components that have been optimized for reduced weight and size. Modern pressure sensors, flow sensors, and microcontrollers can provide accurate monitoring data while weighing only fractions of a gram, allowing real-time monitoring with minimal impact on overall mask weight.
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 ensures accurate fit testing and timely replacement of mask components, enhancing user safety by eliminating guesswork and providing reliable indicators for end-of-service-life detection, thus ensuring consistent protection and performance.
Implementation Method 1
a pressure sensor, and possibly other sensors
Implementation Method 2
gas sensors, temperature sensors, and humidity sensors
Implementation Method 3
gas sensors, temperature sensors, and humidity sensors
Implementation Method 4
gas sensors, temperature sensors, and humidity sensors
Data Source
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AI summary
Embodiments relate generally to systems and method for completing fit tests on a respirator mask, and indicating end of service life for one or more elements of the respirator mask. Applicants propose a system comprises an electronics module mounted on the interior of the face mask, wherein the module comprises a pressure sensor, and possibly other sensors, such as gas sensors, temperature sensors, and humidity sensors. The module may detect the pressure on the interior of the mask during fit tests to detect any leaks in the mask. The module may be used for positive and negative pressure fit tests. Additionally, the module may comprise one or more indicators (lights, sounds, vibrations) for alerting a user during a fit test. The module may also detect end of service life by analyzing the sensor data, and may indicated end of service life to the user.