A Fuzzy Inference System Prototype for Indoor Air and Temperature Quality Monitoring and Hazard Detection
| Autor: | M. Tennakoon, E. Shirif, R. V. Mayorga |
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| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Journal of Environmental Informatics. :70-79 |
| ISSN: | 1684-8799 1726-2135 |
| Popis: | This paper demonstrates a monitoring system that helps guide the user to attain comfortable and safe room conditions. The monitoring system is divided in an In door Air and Temperature Quality ("Comfort") Monitoring System, and a Hazard Detection Unit. The concept behind this Monitoring System is to assist the user to get an idea of how different factors such as room temperature, humidity, airflow, and clothing affect human comfort. The same concept is also applied to the Hazard Detection Unit (HDU), where carbon monoxide, carbon dioxide, particulate matter, room size and room occupancy may affect the comfort and safety of the user . The Monitoring system is based on Fuzzy Logic programming and built using MATLAB® software. Two Fuzzy Inference Systems (FISs) independent of each other are developed. Each FIS is based on a Mamdanitype of controller. One FIS is responsible for the Comfort Level and the other is for the Hazard Detection Unit (HDU). A Graphical User Interface (GUI) is also developed to couple the two Fuzzy Systems together and to provide the user with an interactive interface. Inputs and outputs are extensively tested through the GUI to observe the system performance. |
| Databáze: | OpenAIRE |
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