智能家居远距离可视化风险自动监测系统设计
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  • 英文篇名:Design of long-distance visualized risk automatic monitoring system for smart home
  • 作者:胡红博
  • 英文作者:HU Hongbo;School of Physics and Electromechanical Engineering,Zunyi Normal University;
  • 关键词:智能家居 ; 远距离 ; 可视化风险 ; 自动监测 ; 系统设计 ; 抗干扰性
  • 英文关键词:smart home;;long distance;;visualized risk;;automatic monitoring;;system design;;anti-interference performance
  • 中文刊名:XDDJ
  • 英文刊名:Modern Electronics Technique
  • 机构:遵义师范学院物理与机电工程学院;
  • 出版日期:2019-02-15
  • 出版单位:现代电子技术
  • 年:2019
  • 期:v.42;No.531
  • 基金:国家自然科学基金(61662090);; 贵州省科技厅项目(黔科合LH字[2015]7011号)~~
  • 语种:中文;
  • 页:XDDJ201904041
  • 页数:4
  • CN:04
  • ISSN:61-1224/TN
  • 分类号:179-182
摘要
针对传统监测系统存在监测耗时长、系统抗干扰能力差的问题,提出并设计基于双传感器结合的智能家居远距离可视化风险自动监测系统。该系统主要由硬件和软件两部分组成,硬件部分主要针对家居环境的温度及可燃气体进行监测;软件部分主要针对可视化风险进行监测。实验结果表明,相比ARM监测系统的耗时分别降低了81.2 s,28.3 s,抗干扰性分别提高了66.104,93.85,具有一定的优势。
        In allusion to the problems of large monitoring time-consumption and poor anti-interference capability existing in the traditional monitoring system,a long-distance visualized risk automatic monitoring system based on dual-sensor combination is proposed and designed for the smart home. The system is composed of two parts of hardware and software. The hardware is mainly used to monitor the temperature and combustible gas in the home environment. The software is mainly used to monitor visualized risks. The experimental results show that in comparison with the ARM embedded monitoring system and the monitoring system based on the Internet of Things,the improved monitoring system has a time-consumption reduced by 81.2 s and 28.3 s respectively,and an anti-interference performance improved by 66.104 and 93.85 respectively,which has a certain advantage.
引文
[1]孙泽鸿,关维国,刘志建.基于Cortex_A8的智能云家居Web控制系统设计[J].微电子学与计算机,2016,33(7):159?163.SUN Zehong,GUAN Weiguo,LIU Zhijian. Design of intelli?gent cloud home Web control system based on Cortex_A8[J].Microelectronics&computer,2016,33(7):159?163.
    [2]殷贤华,刘明缘,王宁.基于Raspberry Pi的智能家居系统设计[J].现代电子技术,2016,39(23):161?164.YIN Xianhua,LIU Mingyuan,WANG Ning. Design of smarthome system based on Raspberry Pi[J]. Modern electronicstechnique,2016,39(23):161?164.
    [3]单振华,王舒憬,强杰.基于Websocket的智能家居远程控制系统的实现[J].电子技术应用,2017,43(10):124?127.SHAN Zhenhua,WANG Shujing,QIANG Jie. Design of Web?socket?based smart home remote?control system[J]. Applicationof electronic technique,2017,43(10):124?127.
    [4]张贝贝,周祖荣.基于ZigBee技术的智能水浸系统设计[J].计算机工程与设计,2016,37(11):3130?3135.ZHANG Beibei,ZHOU Zurong. Design of intelligent water log?ging system based on ZigBee technology[J]. Computer engineer?ing and design,2016,37(11):3130?3135.
    [5]邓昀,李朝庆,程小辉.基于物联网的智能家居远程无线监控系统设计[J].计算机应用,2017,37(1):159?165.DENG Yun,LI Chaoqing,CHEN Xiaohui. Design of remotewireless monitoring system for smart home based on Internet ofThings[J]. Journal of computer applications,2017,37(1):159?165.
    [6]曾欣慧.面向Android客户端的无线视频监控系统设计[J].现代电子技术,2016,39(12):6?9.ZENG Xinhui. Design of wireless video surveillance system forAndroid client[J]. Modern electronics technique, 2016, 39(12):6?9.
    [7]金有杰,周克明,王海妹,等.基于GIS的水工程安全监测信息管理系统设计与应用[J].水力发电,2016,42(12):102?106.JIN Youjie,ZHOU Keming,WANG Haimei,et al. Designand application of GIS?based water engineering safety monitor?ing information management system[J]. Water power,2016,42(12):102?106.
    [8]孟晓丽.物联网平台下基于云计算的智能家居系统设计[J].科技通报,2016,32(6):67?71.MENG Xiaoli. Smart home system design based on cloud com?puting on Internet of Things platform[J]. Bulletin of scienceand technology,2016,32(6):67?71.
    [9]白日欣,陈淑春,智刚毅.基于多元特征融合技术的农村家居安防系统设计[J].河北农业大学学报,2017,40(3):136?139.BAI Rixin, CHEN Shuchun, ZHI Gangyi. Design of ruralhome security system based on the technology of multi?charac?ters fusion[J]. Journal of Agricultural University of Hebei,2017,40(3):136?139.
    [10]王瑞泽,程颖,任文平.基于AVR单片机的家庭智能监控机器人设计[J].计算机应用,2016,36(z2):328?330.WANG Ruize,CHENG Ying,REN Wenping. Robot designbased on AVR microcontroller for family intelligent monitor?ing[J]. Journal of computer applications,2016,36(S2):328?330.

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