The occupancy function generates daily occupant count profiles and calculates typical occupant arrival and departure times.

If you're reading this, it is likely that you have at least one smartphone on or near your person. The truth is that the days of a pager and rolodex are long gone, and that almost everyone carries at least one smart device, be it a smartphone, a laptop, a smart watch, or any device with wireless internet connectivity. In fact, we can deduce relatively reliable occupant count estimations by taking advantage of these devices' wireless connectivity capabilities. This presents an ideal opportuntity for non-intrusive occupant statistics.

The occupancy function takes Wi-Fi device count data or motion detection data and generates a set of hourly occupant count profiles for weekdays and weekends separately. It does this by using Wi-Fi device counts as a proxy for occupancy by attributing every 1.2 devices as a single occupant. Of course, this equivalence is not absolute and would likely increase as Wi-Fi enabled device protocols evolve and increase over time. In addition to the profiles, key performance indicators are calculated such as typical occupant arrival and departure times and highest observed occupancy. These KPIs can be used to optimize mode of operation settings, particularly by adjusting building- and zone-level schedules, or even serve the basis of an occupant-driven demand-controlled ventilation strategy.