master thesis No.: 282/II. GR-BIM
Arsenii Kirillov (Author), Matevž Dolenc (Mentor)

Abstract

Unstructured operational phase-related data is an obstacle on a way to portable and scalable building maintenance applications. For the development of any application from a mobile game to a complex distributed web system developer tools and standards are required. When it comes to the operational phase of construction, there is a lot of static data produced in previous stages and unstructured data for building maintenance which is usually handled by facility managers. One of the most efficient abstractions for handling heterogeneous maintenance data is a Resource Description Framework (RDF) in general and Brick ontology in particular. Brick is a community-driven and open-source ontology whose domain is in Building Management Systems and HVAC equipment. Structured by Brick maintenance data can be used in applications for energy analysis. This master thesis is an attempt to build a data analysis application for the operational stage of construction that will use both static and structured maintenance data for visualizing the indoor environment. The domain of thesis research and tools that were used for development avoid any proprietary formats and software. The application itself was built in a self-sustainable way to keep the opportunity of including it in a complex distributed system open based on Docker containers.

Keywords

civil engineering;master thesis;BIM;AECO;Brick ontology;application development;Python;data analysis;

Data

Language: English
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
Publisher: [A. Kirillov]
UDC: 004.655.2:69(043.3)
COBISS: 177193987 Link will open in a new window
Views: 140
Downloads: 9
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary title: Razvoj programske opreme z uporabo Brick ogrodja
Secondary abstract: Nestrukturirani, časovno odvisni, podatki pomenijo izziv za razvoj prenosljivih in razširljivih programskih rešitev. V fazi uporabe grajenega sredstva so, kot rezultat prejšnjih faz gradbenega procesa, dostopni strukturirani in nestrukturirani podatki ter podatki, ki se ustvarjajo v fazi uporabe in se nanašajo na delovanje in vzdrževanje grajenega sredstva. Za opis in upravljanje z raznolikimi podatkovnimi modeli pogosto uporabljamo RDF (angl. Resource Description Framework), za formalno opisovanje ontologij. Brick je odprto-kodna ontologija, ki opisuje podatkovni model upravljanja zgradb, vključno s sistemi za ogrevanje, prezračevanje in klimatske naprave. V raziskovalni nalogi je prikazan razvoj programske rešitve z uporabo ogrodja Brick za analizo heterogenih podatkov v fazi uporabe grajenega sredstva. Povdarek pri razvoju programske rešitve je na uporabi odprto-kodne programske opreme in standardiziranih ali odprtih podatkovnih zapisih. Arhitekturna zasnova programske rešitve sledi smernicam sodobnih, razširljivih in porazdeljenim programskim sistemom, ki temeljijo na vsebnikih Docker.
Secondary keywords: gradbeništvo;magistrska dela;GR;BIM;AEC;Brick ogrodje;razvoj aplikacij;Python;analiza podatkov;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Pages: XVI, 58 str.
ID: 21870564
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