Abstract
The need for integrating building data with other data sources is growing, most notably sensor data. This potential synergy between building and sensor data flows has been researched, but current research focused almost exclusively on the automation of transmitting sensor data to building models (Tang et al., 2019), often not focusing on operational and analysis possibilities with the integrated data. This research aims to ef-fectively integrate sensor and building data flows for analysis purposes. Using the developed integration, mul-tiple data sources can be effectively utilized for analysis. Its functionality is proven in this paper on hourly Indoor Environmental Quality (IEQ) analyses of a University Medical Centre (UMC) office building. These results prove that, using building information, measured sensor values can be placed into context, and actionable insights can be derived instead of manually interpreting the sensor results.
Original language | English |
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Title of host publication | Proceedings of the 13th European Conference on Product and Process Modeling 2020-2021 |
Publisher | CRC Press |
Pages | 328-333 |
Number of pages | 6 |
ISBN (Print) | 9781003191476 |
DOIs | |
Publication status | Published - 2021 |
Event | 13th European Conference on Product and Process Modeling 2020-2021 - Moscow, Russian Federation Duration: 5 May 2021 → 7 May 2021 Conference number: 13 http://ecppm.ispras.ru/ |
Conference
Conference | 13th European Conference on Product and Process Modeling 2020-2021 |
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Abbreviated title | ECPPM |
Country/Territory | Russian Federation |
City | Moscow |
Period | 5/05/21 → 7/05/21 |
Internet address |