“互联网+排涝泵站群”远程网络管控系统设计
作者:
作者单位:

(无锡商业职业技术学院 物联网技术学院,江苏 无锡 214153)

作者简介:

付 琛(1983-),男,甘肃天水人,硕士,实验师,主要从事通信技术、控制技术应用以及系统集成等方向的研究。 [FQ)]

通讯作者:

中图分类号:

基金项目:

江苏省高等职业教育产教深度融合实训平台-互联网+工业智能技术应用平台项目(苏教高﹝2016﹞10号)。


Remote Management and Control System Design of Drainage Pumping Stations Based on Internet
Author:
Affiliation:

(School of IOT Engineering, Wuxi Vocational Institute of Commerce, Wuxi 214153, China)

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:

    以常熟辛庄片区排涝泵站群为载体,结合“互联网+水利自动化+优化网络安全控制”的理念,采用分散控制、统一管理的模式,利用浏览器、手机APP为远程终端服务软件,以PLC作为现场控制核心,基于WEB以及移动子网开发了一套排涝泵站群数据采集与监视控制系统(supervisory control and data acquisition system,SCADA);文中重点就系统设计过程中的一些关键技术进行了阐述,如系统通信网络安全自检模块设计、远程水泵工作状态数据采集以及远程水泵智能启停控制实现等;通过该系统在实际现场的应用调试发现,其运行安全可靠,实现了利用浏览器或手机移动终端进行各排涝子站分管区域的水情监测、泵站工作状态数据监测、排涝子站的水泵机组多模式控制等智能化功能,给泵站的实时监管带来了便利,创造了很大的社会价值。

    Abstract:

    Combined with the idea which was called Internet plus hydraulic automation and optimization technology, a set of drainage pumping stations supervisory control and data acquisition system has been developed. The decentralized control and unified management mode was adopted in this system. The direct digital controller was PLC. And the browser and mobile APP was used to the remote terminal service software. Some key technologies were elaborated in this paper, such as the design procedure of communication network security checking, working state of remote data acquisition and remote intelligent pump control modules. By applying in Xinzhuang town of Changshu City, this system has shown the convenience and reliability. It could not only monitor the water regime of the main river and some important parameters of the pumps in time by mobile APP and PC, but also intelligent control the pump. It has brought convenience to the real-time monitoring of pumping station and created a great social value.

    参考文献
    相似文献
    引证文献
引用本文

付琛,杨国华,李海波,赵晓峰.“互联网+排涝泵站群”远程网络管控系统设计计算机测量与控制[J].,2017,25(7):74-76, 81.

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:2016-12-26
  • 最后修改日期:2017-02-13
  • 录用日期:
  • 在线发布日期: 2017-08-10
  • 出版日期:
文章二维码