PMT Fluorescence Signal Denoising Processing Based on Wavelet Transform and BP Neural Network

Air is the environmental foundation for human life and production, and its composition changes are closely related to human activities. Sulfur dioxide (SO2) is one of the main atmospheric pollutants, mainly derived from the combustion of fossil fuels. But SO2 is a trace gas in the atmosphere, and it...

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Bibliographic Details
Published in:Applied sciences 2024-06, Vol.14 (11), p.4866
Main Authors: Liu, Jiehui, Zhang, Yunhan, Li, Jianshen, Zhao, Yadong, Guo, Jinxi, Yang, Lijie, Zhao, Haichao
Format: Article
Language:English
Subjects:
Accuracy
Air pollution
Algorithms
BP neural network
Chemical industry
data fusion
Decomposition
Experiments
Fluorescence
Gases
Herbicides
International economic relations
Lasers
Light
Neural networks
Pesticides industry
Photonics
Power supply
Signal processing
Signal to noise ratio
Sulfur
Sulfur compounds
Sulfuric acid
temperature drift
Ultraviolet radiation
wavelet transform
Wavelet transforms
weak current signal detection
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Summary:Air is the environmental foundation for human life and production, and its composition changes are closely related to human activities. Sulfur dioxide (SO2) is one of the main atmospheric pollutants, mainly derived from the combustion of fossil fuels. But SO2 is a trace gas in the atmosphere, and its concentration may be less than one part per billion (ppb). This paper is based on the principle of photoluminescence and uses a photomultiplier tube (PMT) as a photoelectric converter to develop a device for real-time detection of SO2 concentration in the atmosphere. This paper focuses on the impact of noise interference on weak electrical signals and uses wavelet transform to denoise the signals. At the same time, considering that the photoelectric system is susceptible to temperature changes, a multi parameter fitting model is constructed, and a BP neural network is used to further process the signal, separating the real data from the original data. Finally, a high-precision and wide-range trace level sulfur dioxide concentration detection device and algorithm were obtained.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14114866