IFC and Monitoring Database System Based on Graph Data Models

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 mo...

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Autores principales:	Luka Gradišar, Matevž Dolenc
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/a380bc07003b4e7e91d1a9b5d8238770
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spelling	oai:doaj.org-article:a380bc07003b4e7e91d1a9b5d82387702021-11-08T02:35:30ZIFC and Monitoring Database System Based on Graph Data Models1687-809410.1155/2021/4913394https://doaj.org/article/a380bc07003b4e7e91d1a9b5d82387702021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4913394https://doaj.org/toc/1687-8094An 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.Luka GradišarMatevž DolencHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040ENAdvances in Civil Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Luka Gradišar Matevž Dolenc IFC and Monitoring Database System Based on Graph Data Models
description	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.
format	article
author	Luka Gradišar Matevž Dolenc
author_facet	Luka Gradišar Matevž Dolenc
author_sort	Luka Gradišar
title	IFC and Monitoring Database System Based on Graph Data Models
title_short	IFC and Monitoring Database System Based on Graph Data Models
title_full	IFC and Monitoring Database System Based on Graph Data Models
title_fullStr	IFC and Monitoring Database System Based on Graph Data Models
title_full_unstemmed	IFC and Monitoring Database System Based on Graph Data Models
title_sort	ifc and monitoring database system based on graph data models
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/a380bc07003b4e7e91d1a9b5d8238770
work_keys_str_mv	AT lukagradisar ifcandmonitoringdatabasesystembasedongraphdatamodels AT matevzdolenc ifcandmonitoringdatabasesystembasedongraphdatamodels
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IFC and Monitoring Database System Based on Graph Data Models

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