Respiratory Device Performance Evaluation via Sensor Data Analysis
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Solution Overview
Problem
There is a lack of scientific methods and devices for evaluating the performance of respiratory protective devices, particularly in terms of man-machine synchronization, which affects their safety and operational effectiveness over time due to wear and tear.
Innovation Solution
A system comprising a respiratory protective device with a fan component and a pressure sensor, connected to a processor that retrieves and analyzes pressure and fan operation data to generate performance parameters such as trigger pressure, trigger percentage, latency time, and air supply parameters, providing quantitative and qualitative evaluations of the device's performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If respiratory protective devices are used continuously, then user protection is maintained, but device performance degrades due to wear and tear
Solution Approach 1:
The system performs preliminary assessment of device performance by continuously monitoring pressure sensor data and fan operation data before failure occurs. It generates performance parameter data objects that evaluate trigger pressure, trigger percentage, latency time, and air supply parameters to predict when maintenance is needed.
Solution Approach 2:
The system establishes a feedback loop where performance data is continuously collected from the respiratory protective device, analyzed by the processor, and used to generate assessment results. This feedback mechanism enables real-time monitoring of device degradation and informs maintenance decisions.
2Reliability
If no evaluation method is implemented, then device complexity remains low, but safety and operational effectiveness cannot be ensured
Solution Approach 1:
The system introduces an intermediary evaluation apparatus that includes a processor and memory for analyzing device performance. This intermediary layer processes data from the respiratory protective device and generates assessment results, separating the evaluation function from the device itself while ensuring safety.
Solution Approach 2:
The system replaces manual or mechanical inspection methods with automated electronic data processing. The processor analyzes pressure sensor and fan operation data to generate performance assessments, substituting complex mechanical evaluation procedures with computational analysis.
3Measurement precision
If performance data is collected and analyzed, then device performance can be evaluated, but data processing complexity increases
Solution Approach 1:
The system segments the performance evaluation into distinct parameter categories: trigger pressure parameter, trigger percentage parameter, latency time parameter, and air supply parameter. Each parameter is evaluated separately using specific data objects, making the complex measurement process manageable and systematic.
Solution Approach 2:
The system transforms raw sensor data into standardized performance parameters through defined conversion rules. Pressure sensor data becomes trigger pressure parameters, fan operation data becomes air supply parameters, and timing data becomes latency parameters, standardizing the measurement process.
Data Source
AI summary
Apparatuses and methods for evaluating a respiratory protective device are provided. For example, an example method includes retrieving a plurality of pressure measurement data objects and a plurality of fan operation data objects associated with the respiratory protective device, generating a performance parameter data object based on the plurality of pressure measurement data objects and the plurality of fan operation data objects, determining a performance criterion data object corresponding to the performance parameter data object, and generating a performance indication data object based on comparing the performance parameter data object with the performance criterion data object.