Method and system for detecting and analyzing bacteria content in indoor air based on Internet of Things
A technology for indoor air and analytical methods, applied in biochemical equipment and methods, microbial measurement/inspection, biological neural network models, etc., can solve problems such as missing important data, wasting monitoring resources, and reducing the accuracy of bacteria content analysis. To achieve the effect of improving the accuracy of analysis
Pending Publication Date: 2022-04-08
安徽新识智能科技有限公司
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[0005] The purpose of the present invention is to provide a method and system for detecting and analyzing the amount of bacteria in indoor air based on the Internet of Things, so as to solve the problem of indiscriminate monitoring of the amount of bacteria in the prior art. When the amount of bacteria is small, it will only cause The waste of monitoring resources, and the omission of important data may result in the omission of important data when the bacteria content is large, which will eventually lead to the reduction of the analysis accuracy of the bacteria content and the unreliable technical problems of the analysis results
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[0043] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0044] like figure 1 As shown, the present invention provides a method for detecting and analyzing the bacterial content of indoor air based on the Internet of Things, comprising the following steps:
[0045] When there are elements that increase the bacterial content in the room, and the indoor air bacterial content increases to a large extent, it is necessary to monitor the indoor bacterial content characterization data more closely...
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The invention discloses an Internet of Things-based indoor air bacterium content detection and analysis method and system, and the method comprises the following steps: S1, taking indoor air bacterium content characterization data collected in real time by bacterial strain detection devices uniformly spread in an indoor space as a prediction sample, predicting air bacterium content characterization data at a future moment based on the prediction sample so as to master the development trend of the indoor air bacterium content characterization data; s2, based on the air bacterium content characterization data at the future moment, adaptive adjustment is carried out on the collection frequency of the indoor air bacterium content at the future moment, therefore, the bacterial strain detection device monitors the characterization data of the bacterial content in the indoor air in different frequency bands in the future so as to reasonably configure the acquisition frequency of the acquisition thread in the bacterial strain detection device. According to the invention, the change trend of the indoor bacteria content data is mastered in advance, different bacteria contents are monitored in real time in different frequency bands, and the analysis precision of the indoor bacteria content is improved.
Description
technical field [0001] The invention relates to the technical field of bacterial content monitoring, in particular to a method and system for detecting and analyzing the bacterial content of indoor air based on the Internet of Things. Background technique [0002] At present, the detection of air bacteria content indicators is mainly carried out by means of collection, cultivation and counting, which cannot meet the requirements of real-time and continuity. At this stage, the sensor can accurately detect the number of particles of different sizes in the air in real time. It is known that bacteria, viruses, molds, etc. in the air exist in the form of biological aerosols. The particles detected by the sensor include biological aerosol particles. . At present, there is a way to detect the amount of biological aerosols in the air by calibrating sensors by fluorescence, but this kind of equipment is bulky and cannot be used in classrooms, hospitals and other scenarios. [0003]...
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IPC IPC(8): G06Q10/04G06N3/04G06K9/62C12Q1/06C12M1/34
Inventor 汤慧敏
Owner 安徽新识智能科技有限公司