Abstract
Occupancy analytics refers to statistical analysis related to occupancy of users in a building to derive information and insights based on which control and management of building systems may be improved. We consider the use of a wireless sensors infrastructure in a lighting system to derive occupancy analytics. Specifically, radio received signal strength indicator (RSSI) values at wireless motion and light sensors are used that result from transmissions of user devices. Statistical methods are proposed to derive occupancy metrics: occupancy density, area usage, and occupant dwell times. We evaluate the performance of the proposed approach using an open-plan office wireless lighting control model.
Original language | English |
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Title of host publication | Proceeding - 2015 IEEE International Conference on Industrial Informatics (INDIN) : Robinson College, Cambridge, United Kingdom, 22-24 July 2015 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 56-61 |
Number of pages | 6 |
ISBN (Electronic) | 9781479966493 |
DOIs | |
Publication status | Published - 28 Sept 2015 |
Externally published | Yes |
Event | 13th International Conference on Industrial Informatics (INDIN 2015) - Robinson College, Cambridge, United Kingdom Duration: 22 Jul 2015 → 24 Jul 2015 Conference number: 13 |
Conference
Conference | 13th International Conference on Industrial Informatics (INDIN 2015) |
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Abbreviated title | INDIN2015 |
Country/Territory | United Kingdom |
City | Cambridge |
Period | 22/07/15 → 24/07/15 |
Keywords
- Occupancy analytics
- RSSI positioning
- wireless lighting control systems