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Smart Automatic Control Lighting System (SACLS) Using Microcontroller

机译:使用微控制器的智能自动控制照明系统(SACLS)

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摘要

This paper brings forth a smart automatic lighting system (SALS) by expatiating on designing theories together with implementation approaches. This system was designed to realize the goal of cutting down the amounts of electricity usage in people's daily life. The main enhancement deals with controlling lights that depend on current light intensity inside room and human existence for the purpose of gaining the optimal efficiency of power saving. In respect of automatic control technology, this paper segregates the central control unit into five modules: automatic control module, PIR detection module, lighting intensity detection module, modes switching module, and LCD 1602 display module. System takes AT89S51, a typical 51-type microcontroller as its controlling core. AT89S51 performs the function of turning on/off the lighting unit by receiving the signals from PIR sensor as well as lighting intensity sensor. This paper covers the hardware design together with its corresponding software application on each module, including electronic circuits and software codes. On simulation modeling stage, I have put to use software of Proteus and Keil C51 for realizing all of the fundamental actions of this system on screen. This testing processing aims at making sure that all design structures and circuits are correct and reasonable.
机译:通过阐述设计理论和实现方法,本文提出了一种智能自动照明系统(SALS)。该系统旨在实现减少人们日常生活中的用电量的目标。主要增强功能涉及控制灯光,该灯光取决于房间内当前的光强度和人的存在,以达到最佳的节能效果。在自动控制技术方面,本文将中央控制单元分为五个模块:自动控制模块,PIR检测模块,照明强度检测模块,模式切换模块和LCD 1602显示模块。系统采用典型的51型微控制器AT89S51作为控制核心。 AT89S51通过接收来自PIR传感器和照明强度传感器的信号来执行打开/关闭照明单元的功能。本文介绍了硬件设计及其在每个模块上的相应软件应用程序,包括电子电路和软件代码。在仿真建模阶段,我已使用Proteus和Keil C51软件在屏幕上实现该系统的所有基本操作。该测试过程旨在确保所有设计结构和电路都是正确和合理的。

著录项

  • 作者

    Deng, Ping.;

  • 作者单位

    California State University, Fullerton.;

  • 授予单位 California State University, Fullerton.;
  • 学科 Electrical engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 78 p.
  • 总页数 78
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:54:25

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