izpis_h1_title_alt

Pametni hranilnik za male živali
ID ALBREHT, ŽAK (Author), ID Bajec, Marko (Mentor) More about this mentor... This link opens in a new window

.pdfPDF - Presentation file, Download (11,02 MB)
MD5: 9BA6E45C1F833AA114C138FE920769DF

Abstract
V diplomski nalogi smo se posvetili problemu hranjenja domačih živali na daljavo. Predstavili smo obstoječi postopek hranjenja s časovnikom na fiksen časovni interval. Opisali smo način doziranja s pomočjo dozirnega vijaka in načrtovali ohišje, potrebno za umestitev naših komponent. Predstavili smo vso strojno opremo, uporabljeno pri izdelavi hranilnika, ter načrtovali sistem, v katerem s pomočjo mobilne aplikacije kontroliramo ročno ali avtomatsko hranjenje. Avtomatsko sprožanje je nadzorovano s poljubnim številom urnikov ponavljanja, ki jih upravljamo z mobilno aplikacijo. Naš hranilnik podpira tudi različne vrste hranjenj, za katera lahko določimo poljubne količine in imena. Te podatke upravljamo s pomočjo zalednega sistema, ki nato podatke shranjuje v podatkovni bazi PostgreSQL.

Language:Slovenian
Keywords:IoT, Raspberry Pi, pametni hranilnik
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2023
PID:20.500.12556/RUL-145709 This link opens in a new window
COBISS.SI-ID:152640259 This link opens in a new window
Publication date in RUL:10.05.2023
Views:322
Downloads:62
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Secondary language

Language:English
Title:Smart pet feeder
Abstract:
In this thesis, we have focused on the problem of feeding pets remotely. We presented an existing feeding procedure via the timer at a fixed time interval. We described the method of dosing using a dosing screw and designed the necessary housing to store our components. We presented all the hardware used for the implementation of the feeder and designed a system in which manual or automatic feeding is controlled with mobile application. Automatic triggering is controlled by any number of management schedules, which we manage via the mobile app. Our feeder also supports different types of feeding, for which we can define quantities and names. This data is managed by a back-end system, which then stores the data on a PostgreSQL database.

Keywords:IoT, Raspberry Pi, smart feeder

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back