Abstract

Urban residents work indoors for a long time, and indoor air quality is becoming an important indicator that residents care about in their work and life. Based on the Internet of Things, this paper designs an indoor air monitoring system, which can monitor and collect various parameters of indoor air in real time, upload them to the data center for analysis, and push them to the user end for display. Meanwhile, a prediction model is established to predict the air quality indicator in the next few hours by taking CO2 as an example, and construct a complete air quality evaluation to provide to users, so that other intelligent terminals or users can adjust the doors and windows, to make ensure the excellent indoor air quality.

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