Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

A bioaerosol and data analysis technology, applied in the direction of material analysis, material analysis, fluorescence/phosphorescence, etc. through optical means, can solve the problem of staying in multi-channel detection, cloud identification technology gaps, multi-channel remote sensing bioaerosol pollution identification Alarm methods and other issues to achieve the effect of improving detection efficiency or experimental efficiency, accurate and rapid identification, and improving efficiency and accuracy

Pending Publication Date: 2022-01-28
合肥景铄光电科技有限公司
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Remote sensing biological aerosol pollution alarm method based on cloud fluorescence data analysis
  • Remote sensing biological aerosol pollution alarm method based on cloud fluorescence data analysis
  • Remote sensing biological aerosol pollution alarm method based on cloud fluorescence data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] Such as Figure 1 to Figure 3 As shown, the remote sensing biological aerosol pollution alarm method based on cloud fluorescence data analysis includes the following steps:

[0041] Step 1: Establish a bioaerosol fluorescence spectrum database using multi-channel signals, specifically:

[0042] S11: Collect several bioaerosol samples that need to be added to the database;

[0043] S12: Perform a multi-wavelength laser fluorescence excitation experiment on the collected bioaerosol samples, use a spectrometer to...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/64
CPCG01N21/6402G01N21/6486G01N2021/6419G01N2201/06113
Inventor 曹开法王一汪思保
Owner 合肥景铄光电科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products