化工进展 ›› 2017, Vol. 36 ›› Issue (05): 1581-1588.DOI: 10.16085/j.issn.1000-6613.2017.05.004

• 化工过程与装备 • 上一篇    下一篇

基于复杂网络理论的大型换热网络节点重要性评价

王政1, 孙锦程1, 刘晓强1, 姜英1, 贾小平2, 王芳2   

  1. 1. 青岛科技大学化工学院, 山东 青岛 266042;
    2. 青岛科技大学环境与安全工程学院, 山东 青岛 266042
  • 收稿日期:2016-09-19 修回日期:2016-11-08 出版日期:2017-05-05 发布日期:2017-05-05
  • 通讯作者: 王政(1968-),男,博士,副教授,硕士生导师,主要研究过程系统工程。
  • 作者简介:王政(1968-),男,博士,副教授,硕士生导师,主要研究过程系统工程。E-mail:wangzheng@qust.edu.cn。
  • 基金资助:
    国家自然科学基金项目(21136003,41101570)

Evaluation of the node importance for large heat exchanger network based on complex network theory

WANG Zheng1, SUN Jincheng1, LIU Xiaoqiang1, JIANG Ying1, JIA Xiaoping2, WANG Fang2   

  1. 1. College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, Shandong, China;
    2. College of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao 266042, Shandong, China
  • Received:2016-09-19 Revised:2016-11-08 Online:2017-05-05 Published:2017-05-05

摘要: 鉴于换热网络大型化和流股间复杂关系,使得换热网络换热器节点重要性的研究显得越来越重要,对其控制和安全运行的工程实践方面具有指导意义。本文以大型换热网络为研究对象,将换热器抽象为节点,换热器之间的干扰传递抽象为边,构造网络拓扑结构。在复杂网络理论的基础上,提出了评价大型换热网络节点重要性的策略和模型。首先,从网络的点度中心性、中间中心性、接近中心性和特征向量中心性等网络拓扑结构属性出发,依据多属性决策方法对网络节点重要性进行综合评价;其次,考虑换热网络的方向性,基于PageRank算法对该网络进行节点重要性评价研究。综合两个算法的计算结果得出最终结论。案例分析表明:该研究方法是有效的,可从不同的角度全面评价换热网络的节点重要性,丰富了换热器节点重要性评价的相关理论。

关键词: 换热网络, 复杂网络, 节点重要性, 多属性决策, PageRank算法

Abstract: Because of the complexity of large-scale heat exchanger network,it is important to investigate the importance of heat exchanger nodes in heat exchanger network. It can provide guidance for the control and safe operation of heat exchanger networks,as well as engineering practices. In this paper,the network topology structure of large-scale heat exchanger network was constructed by treating heat exchangers as nodes and treating the transfer of interference between heat exchangers as edges. Based on the complex network theory,the strategies and models for evaluating the node importance of the heat exchanger network were proposed. Firstly,the importance of nodes were evaluated by the multi-attribute decision method based on the degree centrality, betweenness,closeness and eigenvector centralities. Next,considering the direction of case heat exchanger network,PageRank algorithm was used to evaluate the importance of nodes. Considering the results from these two algorithms,the final results were obtained. The case analysis showed that the strategy is effective and it can evaluate the node importance from different views,which will enrich the node importance evaluation theory for heat exchanger network.

Key words: heat exchanger network, complex network, node importance, multi-attribute decision, PageRank algorithm

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