Particulate Matter Sensor Calibration via Temperature-Humidity Deviation Curves
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Solution Overview
Problem
Particulate matter measurement values obtained by existing instruments are often inaccurate due to temperature and humidity variations, as current calibration methods do not effectively account for these environmental factors.
Innovation Solution
A method and apparatus for calibrating particulate matter measurement values by determining a target measurement value range and obtaining a preset deviation value from pre-stored data under different temperature-humidity parameters, using standard and target variation curves to calculate percentage differences and average deviations, thereby calibrating measurements precisely.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If particulate matter measurement is performed using existing instruments, then measurement can be obtained, but measurement accuracy deteriorates due to temperature and humidity variations
Solution Approach 1:
The patent applies parameter changes by storing multiple calibration curves corresponding to different temperature and humidity conditions. When environmental parameters change, the system selects or interpolates the appropriate calibration curve to compensate for the effects of temperature and humidity variations, thereby maintaining measurement accuracy across different environmental conditions.
Solution Approach 2:
The patent implements preliminary action by pre-storing multiple calibration curves under various temperature and humidity conditions before actual measurement. This allows the system to quickly retrieve or interpolate the appropriate calibration data without real-time environmental control, compensating for environmental effects through pre-prepared reference data.
2Measurement precision
If calibration data is stored for multiple temperature-humidity parameters, then measurement accuracy under varying conditions improves, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the calibration data into multiple discrete temperature-humidity parameter sets, each with its own calibration curve. This segmented approach allows the system to store calibration data in manageable segments corresponding to specific environmental conditions, making the complex data structure more tractable for storage and retrieval.
Solution Approach 2:
The patent uses copying by storing multiple copies of calibration curves for different temperature and humidity conditions. Instead of implementing complex real-time environmental control or adaptive calibration mechanisms, the system creates and stores multiple copies of calibration data that can be quickly retrieved based on current environmental conditions, simplifying the overall system architecture.
Data Source
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AI summary
The present invention provides a method and an apparatus for calibrating a particulate matter measurement value. The method includes: when a current particulate matter measurement value is obtained, obtaining a current temperature-humidity parameter; obtaining a particulate matter measurement deviation value under the current temperature-humidity parameter from pre-stored particulate matter measurement deviation values under various temperature-humidity parameters according to the current temperature-humidity parameter; and calibrating the current particulate matter measurement value according to the particulate matter measurement deviation value under the current temperature-humidity parameter.