| Title: | Extending BIM for air quality monitoring |
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| Authors: | ID Mrissa, Michael Nicolas (Author)
ID Vcelak, Jan (Author)
ID Hajdu, László (Author)
ID Dávid, Balázs (Author)
ID Krész, Miklós Ferenz (Author)
ID Sandak, Jakub Michal (Author)
ID Sandak, Anna Malgorzata (Author)
ID Kanduti, Rok (Author)
ID Varkonji, Monika (Author)
ID Jutraž, Anja (Author)
ID Malovrh Rebec, Katja (Author) |
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| Files: |  PDF - Presentation file, download (18,89 MB)
MD5: F26B238E8BF0778AB8D98A949CB2541F
PDF - Presentation file, download (1,22 MB)
MD5: 9F9B5557994C146202BFEB8322692877
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| Language: | English |
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| Typology: | 1.08 - Published Scientific Conference Contribution |
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| Organization: |  ZAG - Slovenian National Building and Civil Engineering Institute
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| Abstract: | As we spend more than 90% of our time inside buildings, indoor environmental quality is a major concern for healthy living. Recent studies show that almost 80% of people in European countries and the United States suffer from SBS (Sick Building Syndrome), which affects physical health, productivity and psychological well-being. In this context, environmental quality monitoring provides stakeholders with crucial information about indoor living conditions, thus facilitating building management along its lifecycle, from design, construction and commissioning to usage, maintenance and end-of-life. However, currently available modelling tools for building management remain limited to static models and lack integration capacities to efficiently exploit environmental quality monitoring data. In order to overcome these limitations, we designed and implemented a generic software architecture that relies on accessible Building Information Model (BIM) attributes to add a dynamic layer that integrates environmental quality data coming from deployed sensors. Merging sensor data with BIM allows creation of a digital twin for the monitored building where live information about environmental quality enables evaluation through numerical simulation. Our solution allows accessing and displaying live sensor data, thus providing advanced functionality to the end-user and other systems in the building. In order to preserve genericity and separation of concerns, our solution stores sensor data in a separate database available through an application programming interface (API), which decouples BIM models from sensor data. Our proof-of-concept experiments were conducted with a cultural heritage building located in Bled, Slovenia. We demonstrated that it is possible to display live information regarding environmental quality (temperature, relative humidity, CO2, particle matter, light) using Revit as an example, thus enabling end-users to follow the conditions of their living environment and take appropriate measures to improve its quality |
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| Keywords: | Building Information Model, internet of things, environmental quality monitoring, healthy living |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 01.01.2020 |
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| Publisher: | Slovenian National Building and Civil Engineering Institute (ZAG) |
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| Year of publishing: | 2020 |
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| Number of pages: | Str. 245-250 |
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| PID: | 20.500.12556/DiRROS-17905  |
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| UDC: | 004 |
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| COBISS.SI-ID: | 61060867 |
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| Copyright: | © 2020 Slovenian National Building and Civil Engineering Institute |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 24. 4. 2021;
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| Publication date in DiRROS: | 19.01.2024 |
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| Views: | 630 |
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| Downloads: | 286 |
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| Metadata: |    |
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