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

Abstract

The invention discloses a real-time detection and analysis method of an indoor air bacteria content based on the Internet of Things. The method comprises the steps of: generating a bioaerosol detection concentration curve; generating a particle concentration curve; performing statistics on environmental parameters within a set time range; performing calculation in combination with the bioaerosol detection concentration curve and the particle concentration curve to obtain the real-time bioaerosol concentration in the current environment; and performing calculation in combination with a room type to obtain an indoor air real-time bacteria content in the current environment. By adopting of the real-time detection and analysis method disclosed by the invention, the real-time detection of the bacteria content in the current environment can be achieved to guide the startup of disinfection and sterilization equipment and to assist the decision making of the indoor environmental emergency treatment, in addition, in combination with an access control subsystem, a photographing subsystem an environment detection subsystem, the change trend of the indoor air bacteria content is estimated, early warning in advance is achieved, the instructions are more precise, the energy consumption is effectively reduced, the early warning of high-risk environment is timely, the occurrence of mass healthevents is reduced, meanwhile the process can be tracked, and the result can be traced.

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...

AI Technical Summary

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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