Luka Gradišar (Author), Matevž Dolenc (Author)

Abstract

An efficient database management system that supports the integration and interoperability of different information models is a foundation on which the higher levels of cyber-physical systems are built. In this paper, we address the problem of integrating monitoring data with building information models through the use of the graph data management system and the IFC standard (Industry Foundation Classes) to support the need for interoperability and collaborative work. The proposed workflow describes the conversion of IFC models into a graph database and the connection with data from sensors, which is then validated using the example of a bridge monitoring system. The presented IFC and sensor graph data models are structurally flexible and scalable to meet the challenges of smart cities and big data.

Keywords

IFC;BIM;graph database;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
UDC: 004:624.07
COBISS: 90649347 Link will open in a new window
ISSN: 1687-8094
Views: 172
Downloads: 51
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 keywords: IFC;BIM;podatkovna baza grafov;
Type (COBISS): Article
Pages: [9] f.
Volume: ǂŠt. članka ǂ4913394
Issue: ǂletn. ǂ2021
Chronology: dec. 2021
DOI: 10.1155/2021/4913394
ID: 14586104