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Use of Wi-Fi sensor network in measuring occupancy and people circulation in buildings

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thesis
posted on 24.05.2021, 11:51 by Kam Ng
This research project investigated the potential in using a Wi‐Fi sensor network composed of Open Mesh sensor nodes to measure both localized and non‐localized occupants in the Architecture Building at Ryerson University with two different sensor node configurations. It also experimented with the use of Raspberry Pi, a low‐cost infrared motion sensor, as a people counter. The results show that the proposed sensor network is not capable of measuring non‐localized (transient) occupants due to their short duration of stay in the measurement area. The number of non‐localized occupants and their duration of stay can be more accurately measured by the people counter. As for localized (in one location for longer periods) occupants, the results find that while the proposed system cannot provide an accurate occupant count, it can produce a fairly accurate overall occupancy pattern under both perimeter node and single node configurations

History

Language

eng

Degree

Master of Building Science

Program

Building Science

Granting Institution

Ryerson University

LAC Thesis Type

Thesis