接入云平台的吸收式制冷机组远程控制
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金(61374187);山东省国际科技合作项目(2022GH20306)


Remote Cloud Access Control System for New Absorption Refrigeration
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    本文针对新型吸收式制冷机组,设计了接入云平台的制冷机组远程监控系统.重点解决控制现场传感器分布分散、多网络协议异构与本地设备云平台接入的问题,实现了云平台与控制现场的数据共享及远程监控.控制现场采用现场总线技术,设计智能节点,搭建CAN传感器网络.通过嵌入式技术,设计了一款嵌入式云网关,网关采用数据缓存帧作为多协议转换的缓存器,采用无线模块建立与云平台的通路并使用EDP协议,实现控制现场信息对云平台的接入.在云平台设计了制冷机组云监控平台,通过设备信息的云注册与监控界面的设计,建立接入设备在云平台映射,完成机组运行参数在云平台的实时更新.本设计采用本地控制设备接入云平台的方法,实现了新型吸收式制冷机组本地实验数据远程共享和远程监控.

    Abstract:

    A Remote Control System for the new type of absorption refrigeration unit is designed which gains access to the cloud platform. The system is designed to solve the problem of distributed sensors, multi-protocol of heterogeneous networks and cloud platform access for local devices, which achieves the data sharing and remote monitoring between cloud platform and control filed. Through field bus technology, the intelligent node is designed and the CAN sensor network is constructed in the control field. Through the embedded technology, an embedded cloud gateway is designed which uses the data cache frame as the buffer for the multi-protocol conversion. The wireless module is used to establish the access to the cloud platform and use the EDP protocol to connect the control field with the cloud platform. In the cloud platform, the cloud monitoring platform of the refrigeration unit is designed. Through the registration of device and monitoring interface design, the access equipment is mapped in the cloud platform, and the data from the control field is automatic updating in the cloud platform. The system uses the method of cloud platform access for local devices, which completes the experiment data sharing and remote monitoring for new absorption refrigeration.

    参考文献
    相似文献
    引证文献
引用本文

颜世甲,段晨旭,丁绪东,王静,段培永.接入云平台的吸收式制冷机组远程控制.计算机系统应用,2017,26(7):116-120

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2016-11-04
  • 最后修改日期:2016-12-12
  • 录用日期:
  • 在线发布日期: 2017-10-31
  • 出版日期:
文章二维码
您是第位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京海淀区中关村南四街4号 中科院软件园区 7号楼305房间,邮政编码:100190
电话:010-62661041 传真: Email:csa (a) iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号