Informacijski sistem za upravljanje rastlinjaka

diplomsko delo

Rok Zupančič (Author), Boštjan Šumak (Mentor)

Abstract

V diplomskem delu smo raziskovali področje IoT naprav in tehnologij ter trg obstoječih rešitev, ki bi jih lahko uporabili za avtomatsko upravljanje rastlinjaka. Razvili smo informacijski sistem za upravljanje rastlinjaka, ki nudi avtomatizirano delovanje ponavljajočih se opravil. Zgrajen je iz dveh komponent, mikrokrmilnika Arduino in mikroračunalnika Raspberry Pi. Na mikrokrmilnik so priklopljeni senzorji, katerih vrednosti se shranjujejo v podatkovno bazo na mikroračunalniku. S podatki operiramo v sklopu spletne storitve, ki podpira delovanje spletnega uporabniškega vmesnika. Uporabniški vmesnik predstavlja podatke o stanju v rastlinjaku ter omogoča upravljanje na daljavo. S tem uporabnika razbremenimo dela ter rastlinam omogočimo boljše pogoje za rast.

Keywords

pametni vrt;IoT;Raspberry Pi;Arduino;Python;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	R. Zupančič
UDC:	004.4'242:681.521.2(043.2)
COBISS:	20087574
Views:	1112
Downloads:	179
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	GREENHOUSE MANAGEMENT INFORMATION SYSTEM
Secondary abstract:	In this diploma thesis we are researching the field of IoT devices and technologies and existing market solutions which can be used to automate greenhouse. We developed greenhouse management information system which automates repetitive tasks in greenhouse. System contains two components, microcontroller Arduino and microcomputer Raspberry Pi. Sensors are connected on microcontroller, whose values are stored in a database on microcomputer. To operate with the data within the online service that also support the operation of the web based user interface. The user interface is presenting information about the state in the greenhouse and enables remote management. User is relived of labour and plants get better conditions for growing.
Secondary keywords:	Raspberry Pi;smart garden;Arduino;Python;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages:	IX, 47 f.
ID:	9166509