ABSTRACT Indoor occupancy estimation is necessary for the efficient operation of smart buildings. The development of an efficient algorithm to estimate indoor occupancy will allow better control and optimization of the heating, ventilation, and air conditioning (HVAC) methods of the whole building. Various methods are proposed in the open literature, which depends on environmental sensor data, image or video data, smartphone data, and radio frequency (RF) signals. This work proposes a unique non-intrusive, low cost, passive indoor occupancy estimation solution using our novel instrumentation scheme. We call it Long-Term Evolution (LTE) communication infrastructure-based environment sensing or LTE-CommSense. It requires no signal transmission and uses LTE communication radiation using passive radar principle. Therefore, the system is less complex, has a low footprint and consumes low power requiring no regulations related to radar signal transmissions. This system uses practical data to first determine whether the indoor environment is empty or not. If not, it estimates the number of people occupying the room. Performance evaluation with practical data confirms the feasibility of this proposed approach. Consistency of this approach is verified by using data captured at different dates and times with a different set of people.

中文翻译：

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使用 LTE-CommSense 系统进行室内占用估计

摘要 室内占用估计对于智能建筑的有效运行是必要的。开发一种估算室内占用率的有效算法将有助于更好地控制和优化整个建筑物的供暖、通风和空调 (HVAC) 方法。公开文献中提出了各种方法，这些方法取决于环境传感器数据、图像或视频数据、智能手机数据和射频 (RF) 信号。这项工作使用我们的新型仪器方案提出了一种独特的非侵入式、低成本、被动式室内占用估计解决方案。我们将其称为基于长期演进 (LTE) 通信基础设施的环境感知或 LTE-CommSense。它不需要信号传输，使用无源雷达原理的LTE通信辐射。因此，系统不那么复杂，占地面积小，功耗低，不需要与雷达信号传输相关的规定。该系统利用实际数据首先判断室内环境是否空旷。如果不是，它会估计占用房间的人数。使用实际数据进行的性能评估证实了该方法的可行性。这种方法的一致性通过使用在不同日期和时间对不同人群捕获的数据进行验证。