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Real-time detection and analysis method and system of indoor air bacteria content based on Internet of Things

A technology for real-time detection of indoor air, applied in the field of the Internet of Things, can solve the problems of inability to monitor bioaerosols in real time and low precision of detection equipment

Active Publication Date: 2019-12-31
JIANGSU TECHTRANS IOT CO LTD
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Problems solved by technology

For on-site and network point monitoring equipment, due to the limitation of the structure, the accuracy of the detection equipment used is low. In theory, it is necessary to collect the gas for a period of time to form a large number of aerosol particle clusters before obtaining sufficient intensity. Fluorescent signal, i.e., real-time monitoring of bioaerosols is not really possible in this case

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  • Real-time detection and analysis method and system of indoor air bacteria content based on Internet of Things
  • Real-time detection and analysis method and system of indoor air bacteria content based on Internet of Things
  • Real-time detection and analysis method and system of indoor air bacteria content based on Internet of Things

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Embodiment Construction

[0070] In order to better understand the technical content of the present invention, specific embodiments are given together with the attached drawings for description as follows.

[0071] combine figure 1 , the present invention proposes a method for real-time detection and analysis of indoor air bacteria content based on the Internet of Things, characterized in that the method includes:

[0072] S1: Detect the bioaerosol concentration of the collected indoor air according to the set cycle, and generate the bioaerosol detection concentration curve C(t).

[0073] S2: Collect the particle concentration in the indoor air in real time to generate a particle concentration curve P(t).

[0074] S3: Select a set time range, the set time range includes at least two set periods, and count the indoor temperature T within the set time range t , Indoor humidity RH t , room area S t , Indoor ventilation rate Q per unit time t , the total number of people in the room N t , the number of...

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Abstract

Disclosed is an Internet-of-Things-based method for measuring and analyzing bacteria content of indoor air in real time. The method comprises: generating a bioaerosol concentration measurement curve; generating a particulate matter concentration curve; collecting statistics of environmental parameters within a set time range; obtaining a real-time bioaerosol concentration in the current environment through calculation in conjunction with the bioaerosol concentration measurement curve and the particulate matter concentration curve; and obtaining, through calculation in conjunction with a room type, a real-time bacteria content of indoor air in the current environment. By means of the method, the real-time measurement of bacteria content in a current environment can be realized, the starting of a disinfection and sterilization device can be guided, and the making of a decision regarding emergency treatment for an indoor environment can be assisted; in addition, a change trend of indoor bacteria content is estimated in conjunction with an access control subsystem, a photographing subsystem and an environment measurement subsystem so as to realize early warning, so that an instruction is more accurate, thereby effectively reducing energy consumption, and realizing early warning for a high-risk environment in a timely manner, such that the occurrence of mass health incidents is reduced. Moreover, the process can be tracked, and a result thereof is traceable.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method and system for real-time detection and analysis of indoor air bacteria content 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 detect the number of particles of different sizes in the air in real time and accurately. It is known that bacteria, viruses, molds, etc. in the air exist in the form of bioaerosols, and the particles detected by the sensor include bioaerosol particles . At present, there is a way to detect the amount of bioaerosols in the air through fluorescent calibration sensors, but this kind of equipment is bulky and cannot be used in classrooms, hospitals and other scenarios. [0003] In the invention...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/06G01D21/02
CPCG01D21/02G01N15/06G01N2015/0693
Inventor 曾俊吴叶芳
Owner JIANGSU TECHTRANS IOT CO LTD
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