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大容量客船内部空调送风智能控制系统
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  • 英文篇名:Intelligent control system of air supply for internal air conditioning of large capacity passenger ship
  • 作者:王丽辉
  • 英文作者:WANG Li-hui;Shijiazhuang Vocational Technology Institute;
  • 关键词:客船 ; 空调 ; 送风控制 ; 系统设计
  • 英文关键词:passenger ship;;air conditioning;;air supply control;;system design
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:石家庄职业技术学院;
  • 出版日期:2019-02-23
  • 出版单位:舰船科学技术
  • 年:2019
  • 期:v.41
  • 语种:中文;
  • 页:JCKX201904074
  • 页数:3
  • CN:04
  • ISSN:11-1885/U
  • 分类号:221-223
摘要
利用基于通风网络理论的空调送风控制系统。基于红外感应的空调送风控制系统进行客船内部空调送风控制,存在系统响应慢,能耗大的问题。针对上述问题,设计一个新型大容量客船内部空调送风智能控制系统。首先设计系统B/S三层框架结构,然后根据结构选取系统温度感应器、无线传输装置、单片机等主要硬件设备,最后为保证系统正常运行,设计各个硬件的运行逻辑,完成系统软件设计。结果表明:与基于通风网络理论的空调送风控制系统,基于红外感应的空调送风控制系统相比,本系统响应时间缩短4.82 s,5.56 s,总能耗节约0.6kW·h、0.19 kW·h,平均节约0.72 kW·h,2.28 kW·h。
        Using air conditioning and air supply control system based on ventilation network theory and air conditioning and air supply control system based on infrared induction to intelligently control air conditioning and air supply in passenger ships, there are some problems such as slow response of the system and large energy consumption. In view of the above problems, a new intelligent control system for air conditioning and air supply in large capacity passenger ships is proposed. Firstly, the system B/S three-tier frame structure is designed. Then, according to the structure, the system temperature sensor, wireless transmission device, microcontroller and other major hardware devices are selected. Finally, in order to ensure the normal operation of the system, the operation logic of each hardware is designed, that is, the system software design is completed. The results show that compared with air conditioning air supply control system based on ventilation network theory and air conditioning air supply control system based on infrared induction, the response time of the system is shortened by 4.82 s and 5.56 s, the total energy consumption is saved by 0.6 and 0.19 kilowatt-hour, and the average energy consumption is saved by 0.72 kilowatt-hour and 2.28 kilowatt-hour.
引文
[1]安晓峰,吴丹,李学斌.基于WSN的中央空调智能送风节能系统设计[J].通讯世界, 2016(11):245–246.
    [2]赵宏林,廉小亲,郝宝智,等.基于物联网云平台的空调远程控制系统[J].计算机工程与设计, 2017, 38(1):265–270.
    [3]李树江,王志超,王向东.基于ARM9的变风量空调末端控制器设计与实现[J].控制工程, 2017, 24(8):1595–1602.

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