Thesis Details
Analýza kvality ovzduší v kancelářských a obytných prostorech
The goal of the thesis was to study the indoor air quality measurement focusing on the concentration of carbon dioxide. Within the theoretical part, data mining including basic classification methods and approaches to dimensionality reduction was introduced. In addition, the principles of the developed system within IoTCloud project and available possibilities for measurement of necessary quantities were studied. In the practical part, the suitable sensors for given rooms were selected and long-term measurement was performed. Measured data was used to create the system for window opening detection and for the design of appropriate way of air change regulation in a room. The aim of regulation was to improve air quality using natural ventilation.
BeeeOn, IoTCloud, data mining, dimensionality reduction, carbon dioxide, CO2, air quality, classification, prediction, air change regulation
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Pavlík Jan, Mgr., Ph.D. (DADM FME BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
@mastersthesis{FITMT22184, author = "Peter Tisov\v{c}\'{i}k", type = "Master's thesis", title = "Anal\'{y}za kvality ovzdu\v{s}\'{i} v kancel\'{a}\v{r}sk\'{y}ch a obytn\'{y}ch prostorech", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22184/" }