Abstract
Monitoring indoor air quality (IAQ) is deemed important nowadays. A sophisticated IAQ monitoring system which could classify the source influencing the IAQ is definitely going to be very helpful to the users. Therefore, in this paper, an IAQ monitoring system has been proposed with a newly added feature which enables the system to identify the sources influencing the level of IAQ. In order to achieve this, the data collected has been trained with artificial neural network or ANN—a proven method for pattern recognition. Basically, the proposed system consists of sensor module cloud (SMC), base station and service-oriented client. The SMC contain collections of sensor modules that measure the air quality data and transmit the captured data to base station through wireless network. The IAQ monitoring system is also equipped with IAQ Index and thermal comfort index which could tell the users about the room’s conditions. The results showed that the system is able to measure the level of air quality and successfully classify the sources influencing IAQ in various environments like ambient air, chemical presence, fragrance presence, foods and beverages and human activity.
Highlights
People normally spend most of their time in indoor environments
An indoor air quality monitoring system has been developed with the additional function of classifying sources influencing the IAQ based on five different environments such as ambient air, chemical presence, fragrance presence, foods and beverages, and human activity
The data collection has been completed in 26 days in different environment simulations to obtain the desired effects of the five environments
Summary
People normally spend most of their time in indoor environments. Meticulous attention should be given to make sure the indoor environment is safe and comfortable. As a major part of the indoor environment, attention should be given to indoor air quality (IAQ). Continuous monitoring of IAQ is important to make sure people breathe in a healthy and safe air. Real-time IAQ monitoring keeps people alert to any pollution that might be present in an indoor environment right as it happens. A better IAQ monitoring system with enhanced featured is proposed in this paper—a smart IAQ monitoring system. This smart IAQ monitoring system could identify and inform the users about the source influencing the IAQ level
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