研究目的
To evaluate the possibility of extracting information about gas concentration despite the influence of humidity using Discrete Wavelet Transform analysis on a temperature-modulated semiconductor gas sensor.
研究成果
The study demonstrated that the Discrete Wavelet Transform analysis of a temperature-modulated semiconductor gas sensor's response can effectively determine low concentrations of ammonia despite humidity interference. This method shows promise for air quality monitoring applications.
研究不足
The method provides satisfactory results for low concentrations of ammonia but is less effective for higher concentrations. The study is heuristic and may require further optimization for broader applicability.
1：Experimental Design and Method Selection:
The study utilized a commercial semiconductor gas sensor (GGS10331) under periodic temperature modulation to analyze its response to different concentrations of ammonia at specified levels of relative humidity. The Discrete Wavelet Transform (DWT) was used for feature extraction.
2：Sample Selection and Data Sources:
Measurements were conducted in the presence of synthetic air and six concentration levels of ammonia (5, 10, 20, 30, 40, and 50 ppm) at four relative humidity levels (0%, 25%, 50%, and 75%).
3：List of Experimental Equipment and Materials:
Equipment included a GGS10331 gas sensor, Arbitrary Power Supply Hameg 8143, digital Multimeter Keithley 2400, and mass flow controllers Brooks GF Series.
4：Experimental Procedures and Operational Workflow:
A sinusoidal voltage was applied to the sensor's heater to modulate its temperature. The sensor's resistance response was measured using a 4-probe method with a sampling frequency of 5 Hz.
5：Data Analysis Methods:
The DWT was applied to the sensor's resistance response, followed by Principal Component Analysis (PCA) for dimensionality reduction and visualization.
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