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Design and Implementation of Energy Efficient Home Automation System

机译:节能型家庭自动化系统的设计与实现

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Objectives: This paper provides solution for home automation, in terms of an energy efficient system. The objective is to design a device in the form of an intelligent remote control, to control the ambient condition of a house. Methods: An intelligent RF based remote control is developed which is capable of controlling in two modes- autonomous and semiautonomous. The dimming levels of appliances are tuned with optimized PID controller. A real hardware prototype is developed to control two parameters- light intensity and humidity level of the room. The tuning parameters of PID controller are calculated with the help of overall transfer function of the system, which includes the feedback signal from sensor, objective function of optimization algorithm and transfer function of the appliance (which is used to control the ambient conditions of room). Particle Swarm Optimization algorithm is used to optimize the tuning parameters for PID and results shows more energy efficiency with proposed system, when compared to conventional systems. Findings: The experimental results show prominent saving of energy by using proposed PSO-PID algorithm for designed system. It is calculated as 37.49% for light intensity control system and for humidity control saving comes out 36.9%. Novelty of the proposed system is new approach in terms of intelligent hybrid remote control
机译:目标:本文就节能系统提供了家庭自动化解决方案。目的是设计一种智能遥控器形式的设备,以控制房屋的周围环境。方法:开发了一种基于RF的智能遥控器,该遥控器能够以自主和半自主两种模式进行控制。电器的调光等级通过优化的PID控制器进行调节。开发了一个真正的硬件原型来控制两个参数-房间的光照强度和湿度水平。 PID控制器的整定参数是借助系统的整体传递函数来计算的,其中包括来自传感器的反馈信号,优化算法的目标函数和设备的传递函数(用于控制房间的环境条件) 。与传统系统相比,粒子群优化算法用于优化PID的调整参数,结果表明所提出系统的能源效率更高。结果:实验结果表明,通过对设计的系统使用提出的PSO-PID算法,可以显着节省能源。对于光强度控制系统,它的计算为37.49%,而对于湿度控制,则可以节省36.9%。提出的系统的新颖性是智能混合远程控制方面的新方法

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