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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/4913394 |
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| _version_ | 1832555196420456448 |
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| author | Luka Gradišar Matevž Dolenc |
| author_facet | Luka Gradišar Matevž Dolenc |
| author_sort | Luka Gradišar |
| collection | DOAJ |
| 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 |
| id | doaj-art-a380bc07003b4e7e91d1a9b5d8238770 |
| institution | Kabale University |
| issn | 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-a380bc07003b4e7e91d1a9b5d82387702025-02-03T05:49:26ZengWileyAdvances in Civil Engineering1687-80942021-01-01202110.1155/2021/4913394IFC and Monitoring Database System Based on Graph Data ModelsLuka Gradišar0Matevž Dolenc1Faculty of Civil and Geodetic EngineeringFaculty of Civil and Geodetic EngineeringAn 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.http://dx.doi.org/10.1155/2021/4913394 |
| spellingShingle | Luka Gradišar Matevž Dolenc IFC and Monitoring Database System Based on Graph Data Models Advances in Civil Engineering |
| title | 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_short | IFC and Monitoring Database System Based on Graph Data Models |
| title_sort | ifc and monitoring database system based on graph data models |
| url | http://dx.doi.org/10.1155/2021/4913394 |
| work_keys_str_mv | AT lukagradisar ifcandmonitoringdatabasesystembasedongraphdatamodels AT matevzdolenc ifcandmonitoringdatabasesystembasedongraphdatamodels |