Indoor air data analysis method and system based on Internet of Things

Abstract

The invention discloses an indoor air data analysis method and system based on the Internet of Things, and the method comprises the following steps: S1, the system collects indoor air data representing air quality within a preset time, and sets an air data sampling time point as a dynamic adjustment mode in the air data collection process; s2, the system constructs an air sample data set based on a group of air data sequences, and constructs an air quality evaluation model by utilizing a multi-objective optimization strategy based on the air sample data set; and S3, the system collects air data at the current moment in real time and synchronously transmits the air data to the air quality evaluation model to obtain the indoor air quality at the current moment. According to the method, the sampling time point is dynamically adjusted to dynamically adjust the acquisition interval, so that the acquisition quantity of air data with high consistency is reduced, the data redundancy is reduced, the diversity of samples is improved, and the air quality evaluation model is established to improve the real-time performance of monitoring the air quality.

Description

technical field [0001] The invention relates to the technical field of air quality evaluation, in particular to an indoor air data analysis method and system based on the Internet of Things. Background technique [0002] Atmospheric haze pollution leads to inhalable particulate matter and the harm it brings has been confirmed. According to the requirements of civil building design code, indoor air should be exchanged with outdoor air once an hour on average. Simulation tests show that when the doors and windows are closed, the concentration of indoor inhalable particulate matter in civil buildings is about 0.6-08 times that of outdoor. , far beyond the prescribed basic standard of 35ug / m3 daily average. In addition, volatile organic compounds, such as styrene, propylene glycol, ethylene glycol, phenol, toluene, ethylbenzene, xylene, formaldehyde, etc., have a huge impact on human health. When the volatile organic compounds in the room reach a certain concentration, people...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for analyzing indoor air data based on the Internet of Things, to solve the problem of high redundancy of air data caused by collection at fixed intervals in the prior art, resulting in low diversity of samples, and also reducing network bandwidth. Technical issues causing enormous transmission stress

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