A Decentralized Stay-Time Based Occupant Distribution Estimation Method for Buildings


Zonal occupant level is of nice practical interest for building energy saving underneath normal operations and for fast evacuation below emergency. Though there are a number of existing sensing systems to estimate this info, the problem is still difficult due to the privacy considerations, the random human movement, and the accumulative error. In this paper, we have a tendency to contemplate this necessary downside and concentrate on infrared beam systems that monitor the zonal arrival and departure events. We tend to create the following contributions. 1st, a rule (i.e., Rule 1) primarily based on the stay time is developed to scale back the accumulated estimation error in each zone. Second, a rule (i.e., Rule two) is meant to coordinate the estimation among neighboring zones. A decentralized estimation method is then developed using these 2 rules. Third, the advantage of this methodology is demonstrated through simulation results and field tests. We tend to hope this work brings insight to zonal occupant level estimation in buildings in a lot of general things.

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