A real-time device-free human detection system using received signal strength indicator (RSSI) for residential lighting load control is developed in this work. The proposed system consists of four parts: a designed wireless network based on ZigBee 2.4 GHz, RSSI filters using moving average (MA) and exponentially weighted moving average (EWMA) techniques, an adaptive device-free human detection algorithm, and a hardware set for lighting load control and a lighting control method. Experiments are carried out in a laboratory with two scenarios: a walking female (a home scenario) and a walking female and a man with his motorcycle (a parking scenario). Results show that our system can detect the moving persons with 100% accuracy and can control the residential lighting in real-time. By the proposed system, the cumulative electricity energy consumption of the lighting load reduces by (72.12% and 29.31%) for the first scenario and (86.19% and 54.84%) for the second scenario.

在这项工作中开发了一种使用接收信号强度指示器 (RSSI) 进行住宅照明负载控制的实时无设备人体检测系统。所提出的系统由四部分组成：基于 ZigBee 2.4 GHz 的设计无线网络、使用移动平均 (MA) 和指数加权移动平均 (EWMA) 技术的 RSSI 滤波器、自适应无设备人体检测算法以及用于照明负载控制和照明控制方法。实验在实验室进行，有两种场景：行走的女性（家庭场景）和行走的女性和骑摩托车的男性（停车场景）。结果表明，我们的系统可以100%准确地检测到移动的人，并且可以实时控制住宅照明。根据提议的系统，