Automatic Indoor Air Quality Detection and Ventilation Management System

Abstract

People have more and more expectations for thermal comforts, such as indoor temperature, humidity, and wind speed, as technology advances, and they pay greater attention to air quality. Poor indoor air quality affects the elderly, children, and people with respiratory allergies. This system is an indoor air quality monitoring system based on the Internet of Things smart home architecture, designed to investigate how people can live in a healthy atmosphere. The carbon dioxide index and the American Society of Heating, Refrigerating, and AirConditioning Engineers (ASHRAE) air quality index were chosen as the best indicators for this investigation (AQIs). The two indexes’ common points are combined, and in-house environmental characteristics are analysed using Environmental Protection Administration data, with control variables imitated and their impact on air quality analysed. This project created a fuzzy rule base for environmental variable simulation and devised effective load management utilising a fuzzy controller. In the past, threshold control of indoor air quality was used, and a comfortable air quality monitoring system was built using decision logic.