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A WSN-Based Intelligent Light Control System Considering User Activities and Profiles

机译:考虑用户活动和配置文件的基于WSN的智能灯光控制系统

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摘要

Recently, wireless sensor networks (WSNs) have been widely discussed in many applications. In this paper, we propose a WSN-based intelligent light control system for indoor environments. Wireless sensors are responsible for measuring current illuminations. Two kinds of lighting devices, namely, whole lighting and local lighting devices, are used to provide background and concentrated illuminations, respectively. Users may have various illumination requirements according to their activities and profiles. An illumination requirement is as the combination of background and concentrated illumination demands and users' locations. We consider two requirement models, namely, binary satisfaction and continuous satisfaction models, and propose two decision algorithms to determine the proper illuminations of devices and to achieve the desired optimization goals. Then, a closed-loop device control algorithm is applied to adjust the illumination levels of lighting devices. The prototyping results verify that our ideas are practical and feasible.
机译:最近,在许多应用中已经广泛讨论了无线传感器网络(WSN)。在本文中,我们提出了一种用于室内环境的基于WSN的智能光控制系统。无线传感器负责测量当前的照度。两种照明设备,即整体照明设备和局部照明设备,分别用于提供背景照明和集中照明。用户可能会根据其活动和个人资料而有不同的照明要求。照明要求是背景照明和集中照明要求与用户位置的结合。我们考虑了两个需求模型,即二元满意度模型和连续满意度模型,并提出了两种决策算法来确定设备的正确照明并实现所需的优化目标。然后,应用闭环设备控制算法来调整照明设备的照明水平。原型结果证明我们的想法是切实可行的。

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