Occupancy analytics using RSSI information on wireless lighting systems

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.