Wi-Fi based occupancy detection in a complex indoor space under discontinuous wireless communication: A robust filtering based on event-triggered updating
| Autor: | John Yau-Chung Chan, Norman C. F. Tse, Junqi Wang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Environmental Engineering
Occupancy Computer science business.industry MAC address Geography Planning and Development Real-time computing 0211 other engineering and technologies 02 engineering and technology Building and Construction Filter (signal processing) 010501 environmental sciences 01 natural sciences Air conditioning HVAC Media access control Wireless 021108 energy business Energy (signal processing) 0105 earth and related environmental sciences Civil and Structural Engineering |
| Zdroj: | Building and Environment. 151:228-239 |
| ISSN: | 0360-1323 |
| DOI: | 10.1016/j.buildenv.2019.01.043 |
| Popis: | Demand-driven control of building heating, ventilation and air conditioning (HVAC) and lighting systems warrants an attractive energy saving potential. A reliable and accurate occupancy detection technique should be available for estimating the demand. To this, many occupancy detection methods have been developed either based on physical sensors, cameras or information & communication technology (ICT). Wi-Fi based detection is one of the ICTs that uses Wi-Fi signals (e.g. from smartphones) to represent occupants. Nowadays, new smartphone models all have the battery-saving function that will switch off Wi-Fi communication in the idle mode, causing significant detection uncertainties. This challenge has not been addressed in the current Wi-Fi based occupancy detection methods that still assume or manipulate a continuous Wi-Fi communication. Moreover, most studies are conducted in relatively simple settings with small-scale occupancy that are far from a complex indoor space. Thus, this study investigates the Wi-Fi based occupancy detection in a complex indoor space with large occupancy. An event-triggered updating method is proposed to cater for the discontinuity in Wi-Fi communication of the smartphones. A location filter and a non-human media access control (MAC) address filter are proposed to screen out irrelevant Wi-Fi devices. The proposed event-triggered updating method is able to improve the detection accuracy from 77.3% to 96.8%. The proposed location filter and non-human MAC address filter prove to be effective in removing irrelevant outside and non-human devices. The proposed event-triggered updating method can be applied to existing installations with minimum cost regardless of the Wi-Fi communication continuity. |
| Databáze: | OpenAIRE |
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