Particle Detection Sensor Feedback Correction for Mass Concentration
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Solution Overview
Problem
Existing particle detection sensors face challenges in achieving high precision for mass concentration calculations and suffer from variations in detection results due to differences in sensor properties, leading to inconsistent measurements of airborne particles.
Innovation Solution
A particle detection sensor system that includes a signal converter and processor to correct for sensitivity variations by using a correction coefficient, allowing precise calculation of mass concentration and reducing stray light interference through a dual light trap configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a scattered light particle detection sensor is used to detect particles, then particle presence can be detected, but particle detection precision for mass concentration calculation is insufficient
Solution Approach 1:
The patent implements feedback by measuring the actual light intensity received by the light receiving element and comparing it with a reference value. Based on this comparison, a correction coefficient is calculated and applied to adjust subsequent measurements, thereby improving mass concentration calculation accuracy through continuous feedback and correction
Solution Approach 2:
The patent changes the parameter of light intensity measurement by introducing a correction coefficient that adjusts the relationship between detected light intensity and particle mass concentration. This parameter adjustment compensates for sensor property variations and improves measurement precision
2Object-affected harmful factors
If a light trap is added to reduce stray light, then stray light generation is reduced, but differences in properties between sensors increase leading to varied detection results
Solution Approach 1:
The patent uses feedback to measure the actual light intensity received by the light receiving element and calculates a correction coefficient based on this measurement. This correction coefficient compensates for property differences between sensors, ensuring consistent detection results across different sensor units
Solution Approach 2:
The patent performs preliminary measurement of light intensity and calculates correction coefficients before actual particle detection. This preliminary action establishes a baseline for each sensor, allowing subsequent measurements to be corrected for individual sensor variations
3Measurement precision
If correction coefficients are used to compensate for sensor variations, then detection precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical adjustment mechanisms with a computational approach. Instead of physically adjusting sensor components to match properties, the system uses software-based correction coefficients calculated from light intensity measurements, simplifying the overall device structure while maintaining high precision
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 enhances precision in particle detection and mass concentration calculations, minimizing variations and improving accuracy across different sensor configurations.
Implementation Method 1
scattered light particle detection sensors that detect particles by detecting light that has been scattered (scattered light) by airborne (in gas) particles
Data Source
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AI summary
A particle detection sensor (1) includes a light projecting element (121), a light receiving element (131), and a processor (620). The processor (620) corrects a relative relationship between a plurality of peak values extracted from a waveform of the detection signal and one or more first thresholds, and calculates the mass concentration of particles in a gas by performing determination processing of determining which of a plurality of peak value segments delimited by the one or more first thresholds each of the plurality of peak values belongs to using the corrected relative relationship.