Remote sensing biological aerosol pollution alarm method based on cloud fluorescence data analysis

Abstract

The invention discloses a remote sensing biological aerosol pollution alarm method based on cloud fluorescence data analysis, and relates to the technical field of aerosol detection. The remote sensing biological aerosol pollution alarm method comprises the steps that a biological aerosol fluorescence spectrum database is established through multi-channel signals, feature information of various biological aerosols in the database is enriched, and the accuracy of biological aerosol recognition is improved; in the process of identifying and early warning the bioaerosol to be detected, a multi-wavelength fluorescence detection signal and a mie scattering signal are utilized to eliminate the influence of obstacle interference and the like of a corresponding wavelength channel on the fluorescence detection signal; the corrected fluorescence detection signal is dispersed into fluorescence spectrum signals with corresponding wavelengths by using a spectrograph, and the fluorescence spectrum signals are integrated and recorded to form spectrum data of the to-be-detected biological aerosol under laser with different wavelengths; and the to-be-detected biological aerosol is analyzed and identified by utilizing a cloud database technology through a spectrum identification algorithm in combination with multi-wavelength spectrum data, so as to realize more accurate and rapid biological aerosol identification.

Description

technical field [0001] The invention relates to the technical field of aerosol detection, in particular to a remote sensing biological aerosol pollution alarm method based on cloud fluorescence data analysis. Background technique [0002] Bioaerosols are ubiquitous in the atmosphere, and they are of various types and have life activities, including bacteria, fungi, viruses, dust mites, pollen spores in the air, and tiny particles with life activities, such as the decomposition of animals and plants. Bioaerosols have great hidden dangers to the survival of humans and animals. Bacteria, viruses, and other biological pathogens can reproduce and spread in the atmosphere, and the longer they survive, the more harmful they are; bioaerosols will produce fluorescence under laser induction effect, while most non-biological aerosols do not produce fluorescence effects, so bioaerosols can be distinguished from non-biological aerosols. The composition of organic substances in different...

AI Technical Summary

Problems solved by technology

However, at present, most of the related researches on laser-induced bioaerosol detection remain on simple multi-channel detection, database establishment and identification of single organic matter, and there is no complete multi-channel remote sensing bioaerosol pollution identification and alarm method based on cloud database. Moreover, there is a gap in the cloud recognition technology based on the fluorescence spectrum database and multi-channel fluorescence and meter signal detection.

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