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Title:PROGRAMSKA PODPORA PAMETNI HIŠI
Authors:ID Godina, Sergej (Author)
ID Muškinja, Nenad (Mentor) More about this mentor... New window
Files:.pdf UN_Godina_Sergej_2016.pdf (3,67 MB)
MD5: 5CC2AE253792CF9516DD0807BB73CC8E
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu je predstavljen in razvit koncept dostopa do parametrov sistema HVAC na krmilnikih Siemens Synco 700 KNX. Za osnovo je uporabljen razvojni računalnik Raspberry Pi 2 B, ki prek serijskega vmesnika USB Siemens OCI 700 dostopa do vodila KNX. Uporabljeni so odprtokodna programska oprema, operacijski sistem Raspbian, programski jezik Python in podatkovna zbirka SQLite. Za komunikacijo z vodilom KNX je uporabljen programski paket knxd, naslednik programskega paketa bcusdk. Pridobljeni podatki so namenjeni nadaljnji analizi in optimizaciji sistema HVAC na Fakulteti za elektrotehniko, računalništvo in informatiko Univerze v Mariboru.
Keywords:Pametna hiša, KNX, HVAC
Place of publishing:Maribor
Publisher:[S. Godina]
Year of publishing:2016
PID:20.500.12556/DKUM-62038 New window
UDC:681.518(043.2)
COBISS.SI-ID:20136470 New window
NUK URN:URN:SI:UM:DK:3IJ3XFFI
Publication date in DKUM:13.09.2016
Views:70845
Downloads:322
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:SMART HOME SOFTWARE SUPPORT
Abstract:This thesis presents the development of the concept of access to the parameters of the HVAC system on Siemens Synco 700 KNX controllers. As development base the embedded computer Raspberry Pi 2 B is used, which access the KNX bus through the serial USB interface Siemens OCI 700. For the programming support an open source software such as Raspbian operating system, Python programming language and SQLite database are used. For communication with the KNX bus the software package knxd, the successor of the programming package bcusdk, is used. The data obtained are intended to be used for further analysis and optimization of the HVAC system at the Faculty of Electrical Engineering and Computer Science at University of Maribor.
Keywords:Smart house, KNX, HVAC


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