Apparatus for monitoring bioaerosols using machine learning and method thereof
AssigneeIndustry-Academic Cooperation Foundation, Yonsei University
InventorsJung Ho Hwang, Sang Gwon An, Hyeong Rae Kim
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Abstract
Disclosed is an apparatus for monitoring bioaerosols, including a capturer configured to capture bioaerosol particles in air in a capture solution; a particle sprayer configured to electro-spray the capture solution in a form of droplets such that the particles are included in at least some of the sprayed droplets; and an analyzer configured to analyze the particles, sprayed through the particle sprayer, by machine learning. In accordance with such a configuration, the droplets containing a certain amount of the particles can be continuously analyzed in real time by machine learning, thereby contributing to the improvement of monitoring efficiency for a specific bioaerosol genus.
Claims19
An apparatus for monitoring bioaerosols, comprising:
- a capturer configured to capture bioaerosol particles in air in a capture solution;
- a particle sprayer configured to electro-spray the capture solution in a form of droplets such that the particles are comprised in a certain amount in at least some of the droplets;
- and
- an analyzer configured to analyze the particles, sprayed through the particle sprayer, by machine learning.
A method of monitoring bioaerosols, the method comprising:
- a particle spray process of electro-spraying a capture solution, in which bioaerosol particles are captured, in the form of particle droplets comprising a certain amount of the particles;
- and
- a machine learning analysis process of observing the particles droplets to analyze the bioaerosols by genus through machine learning.
A method of monitoring bioaerosols, the method comprising:
- a learning process of previously learning bioaerosols;
- and
- an analysis process of analyzing a capture solution, in which continuously introduced bioaerosols are captured, by machine learning,
- wherein the analysis process comprises monitoring the concentration of the bioaerosols by genus through the machine learning.
Dependencies are inferred from the claim text.