基于窗帘和人的运动的室内光控制系统的概念研究

Zaid Mujaiyid Putra Ahmad Baidowi, Adli Zahin Muhammad Ruslee, N. M. Noh, Mohamad Yusof Darus, Mohd Rizal Mohd Isa
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引用次数: 0

摘要

通过互联网连接多个设备的物联网(IoT)在包括住宅在内的各个领域得到了广泛的应用。它现在非常受欢迎,因为它可以在没有人为干预的情况下实现家居和电器的自动化。这导致了智能家居的存在。通过自动化家庭设备,可以节省电力消耗,并在最佳水平上使用。因此,本文旨在通过部署低成本的模块化系统来解决节能问题,该系统根据输入参数(如房间的亮度、居住者的存在和运动)控制灯光。提出的设计使用三种主要传感器,如称重传感器、运动传感器和光敏电阻。负载传感器用于检测居住者在床上的体重,运动传感器用于检测居住者的存在,光敏电阻用于检测房间的亮度。此外,建议与任何合适的智能系统集成,例如反向传播神经网络,以学习居住者的睡眠模式。最后,希望本工作能够引领光的相关节能研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Room Light Controlling System Based on Curtain and Occupants’ Motion: A Conceptual Study
The Internet of Things (IoT), which allows multiple devices to be connected via the Internet, has been widely used in various fields including residential. It is very popular nowadays as it could automate home and electrical appliances without human intervention. This leads to the existence of a smart home. By automating devices at home, electricity consumption can be saved and used at an optimum level. Hence, this paper aims to contribute to the solution of saving energy consumption by deploying a low-cost modular system, that controls lights based on input parameters such as the room’s brightness, occupants’ presence, and motion. The proposed design uses three main sensors such as load cell sensors, motion sensors, and photoresistors. The load sensors are used to detect the occupant’s weight on the bed, the motion sensors are to detect the presence of an occupant, and the photoresistors are used to detect the room’s brightness. Besides, the proposed design is recommended to be integrated with any suitable intelligent system, such as back propagation neural network, to learn occupants’ sleeping patterns. Finally, this work is hoped to lead in light related studies for energy saving.
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