计算机应用 ›› 2015, Vol. 35 ›› Issue (7): 2073-2076.DOI: 10.11772/j.issn.1001-9081.2015.07.2073

• 行业与领域应用 • 上一篇    下一篇

基于物联网的纺织车间环境智能测控系统

刘向举1, 李敬兆2, 刘丽娜3   

  1. 1. 安徽理工大学 计算机科学与工程学院, 安徽 淮南 232001;
    2. 安徽理工大学 电气与信息工程学院, 安徽 淮南 232001;
    3. 安徽理工大学 测绘学院, 安徽 淮南 232001
  • 收稿日期:2015-01-19 修回日期:2015-03-13 出版日期:2015-07-10 发布日期:2015-07-17
  • 通讯作者: 刘向举(1978-),男,黑龙江双城人,讲师,硕士,主要研究方向:物联网、智能控制,xjliu@aust.edu.cn
  • 作者简介:李敬兆(1963-),男,安徽淮南人,教授,博士,主要研究方向:物联网、嵌入式系统; 刘丽娜(1981-),女,河北晋州人,实验师,硕士,主要研究方向:地理信息系统。
  • 基金资助:

    国家自然科学基金资助项目(61170060)。

Intelligent environment measuring and controlling system of textile workshop based on Internet of things

LIU Xiangju1, LI Jingzhao2, LIU Lina3   

  1. 1. School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan Anhui 232001, China;
    2. School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan Anhui 232001, China;
    3. School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan Anhui 232001, China
  • Received:2015-01-19 Revised:2015-03-13 Online:2015-07-10 Published:2015-07-17

摘要:

为了改善纺织厂车间环境,提高对环境的自动控制水平,提出了一种基于物联网(IoT)的纺织车间环境智能测控系统。给出了该系统的总体设计方案,设计了单跳多汇集节点的无线网络拓扑结构,以降低汇集节点的传输负载,提高网络的数据传输率。详细阐述了该系统感知节点、控制节点等节点硬件设计的具体实施方案和软件工作流程,并利用改进的牛顿插值算法作为拟合函数对检测的数据进行处理,提高了系统检测与控制准确度。应用结果表明,该系统结构简单、稳定可靠、成本低、易于维护和升级,取得了良好的应用效果。

关键词: 物联网, 纺织车间, 测控系统, 改进牛顿插值算法

Abstract:

To improve the workshop environment of textile mill and enhance the automatic control level on the environment, an intelligent environment measuring and controlling system of textile workshop based on Internet of Things (IoT) was proposed. The overall design scheme of the system was given. In order to reduce traffic loads of sink nodes and improve the data transmission rate of network, the wireless network topology structure of single-hop multi-sink nodes was designed. The concrete implementation scheme of hardware design and software work process of sensing nodes, controlling nodes and other nodes were represented detailedly. The improved Newton interpolation algorithm was used as the fitting function to process the detection data, which improved the precision of detection and control of system. The application results show that the system is simple, stable and reliable, low in cost, easy to maintain and upgrade, and obtains good application effect.

Key words: Internet of Things (IoT), textile workshop, measuring and controlling system, improved Newton interpolation algorithm

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