diplomsko delo
Miha Lenko (Author), Milan Zorman (Mentor), Andrej Souvent (Co-mentor)

Abstract

V sodelovanju z Elektroinštitutom Milan Vidmar smo izdelali namizno aplikacijo za pregledovanje modelov CIM elektroenergetskih omrežij s pomočjo drevesnih seznamov in zemljevidom OpenStreetMap. Znotraj aplikacije smo izdelali tudi vmesnik za pretvorbo med modelom CIM in podatkovnim modelom, ki ga uporabljajo na EIMV. Prvi del diplomskega dela je namenjen predstavitvi tehnologij semantičnega spleta, ki služijo kot temelj za standardiziran metamodel elektroenergetskih omrežij CIM, in drugi del predstavitvi izdelave namizne aplikacije ter dela z uporabljenimi orodji in knjižnicami.

Keywords

elektroenergetsko omrežje;triplestore podatkovne baze;semantični splet;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [M. Lenko]
UDC: 004.774.2(043.2)
COBISS: 22853398 Link will open in a new window
Views: 753
Downloads: 67
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Semantic web technology - based cim power network model viewer
Secondary abstract: In cooperation with Elektroinštitut Milan Vidmar, we created a desktop application for viewing CIM models of electricity networks using tree displays and OpenStreetMap maps. We also implemented an interface for conversion between the CIM model and an internal EIMV data model. The first part of the work is aimed at presenting semantic web technologies that serve as the basis for CIM, a standardized meta-model of the power network. And the second part presents the development of the desktop application and the process of working with used tools and libraries.
Secondary keywords: power network;triplestore database;semantic web;
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages: X, 74 str.
ID: 11203655