Wireless Sensor Networks for Building Information Modeling
Building Information Modeling (BIM) is a critical element for the “digitalization” of the construction industry and can be exploited for energy-driven renovation procedures of existing residences. Advancing beyond a BIM with data-capturing capabilities that are limited to building static information...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
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| Series: | Telecom |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4001/3/1/7 |
| _version_ | 1797441514184376320 |
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| author | Dimitrios Kontaxis George Tsoulos Georgia Athanasiadou Giorgos Giannakis |
| author_facet | Dimitrios Kontaxis George Tsoulos Georgia Athanasiadou Giorgos Giannakis |
| author_sort | Dimitrios Kontaxis |
| collection | DOAJ |
| description | Building Information Modeling (BIM) is a critical element for the “digitalization” of the construction industry and can be exploited for energy-driven renovation procedures of existing residences. Advancing beyond a BIM with data-capturing capabilities that are limited to building static information only requires sensor data streams related to indoor/outdoor ambient conditions, as well as to energy-consumption parameters of the residences. The data streams require the deployment of robust Wireless Sensor Networks (WSNs) that are able to capture and transmit real-time data to appropriate cloud-based renovation toolkits. The technology and topology of such networks are addressed herein. The paper sets the lines for similar installations that are required by the construction industry for collecting dynamic data, since it is based on the outcome of real-world WSN installations in pilot sites in three European countries, carried out in the context of a major collaborative BIM research project. An application example of the WSN data is also provided in the context of training occupant behavior models in order to demonstrate the use of the measured data. |
| first_indexed | 2024-03-09T12:24:10Z |
| format | Article |
| id | doaj.art-d7737120b9e7463d9765508fb774e3fe |
| institution | Directory Open Access Journal |
| issn | 2673-4001 |
| language | English |
| last_indexed | 2024-03-09T12:24:10Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Telecom |
| spelling | doaj.art-d7737120b9e7463d9765508fb774e3fe2023-11-30T22:37:32ZengMDPI AGTelecom2673-40012022-02-013111813410.3390/telecom3010007Wireless Sensor Networks for Building Information ModelingDimitrios Kontaxis0George Tsoulos1Georgia Athanasiadou2Giorgos Giannakis3Wireless and Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22100 Tripolis, GreeceWireless and Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22100 Tripolis, GreeceWireless and Mobile Communications Lab, Department of Informatics and Telecommunications, University of Peloponnese, 22100 Tripolis, GreeceHypertech Energy Labs, 15232 Athens, GreeceBuilding Information Modeling (BIM) is a critical element for the “digitalization” of the construction industry and can be exploited for energy-driven renovation procedures of existing residences. Advancing beyond a BIM with data-capturing capabilities that are limited to building static information only requires sensor data streams related to indoor/outdoor ambient conditions, as well as to energy-consumption parameters of the residences. The data streams require the deployment of robust Wireless Sensor Networks (WSNs) that are able to capture and transmit real-time data to appropriate cloud-based renovation toolkits. The technology and topology of such networks are addressed herein. The paper sets the lines for similar installations that are required by the construction industry for collecting dynamic data, since it is based on the outcome of real-world WSN installations in pilot sites in three European countries, carried out in the context of a major collaborative BIM research project. An application example of the WSN data is also provided in the context of training occupant behavior models in order to demonstrate the use of the measured data.https://www.mdpi.com/2673-4001/3/1/7Building Information ModelingWireless Sensor NetworksZ-Wave |
| spellingShingle | Dimitrios Kontaxis George Tsoulos Georgia Athanasiadou Giorgos Giannakis Wireless Sensor Networks for Building Information Modeling Telecom Building Information Modeling Wireless Sensor Networks Z-Wave |
| title | Wireless Sensor Networks for Building Information Modeling |
| title_full | Wireless Sensor Networks for Building Information Modeling |
| title_fullStr | Wireless Sensor Networks for Building Information Modeling |
| title_full_unstemmed | Wireless Sensor Networks for Building Information Modeling |
| title_short | Wireless Sensor Networks for Building Information Modeling |
| title_sort | wireless sensor networks for building information modeling |
| topic | Building Information Modeling Wireless Sensor Networks Z-Wave |
| url | https://www.mdpi.com/2673-4001/3/1/7 |
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