SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2013, Vol. 21 ›› Issue (3): 253-262.DOI: 10.1016/S1004-9541(13)60485-1

• 过程系统工程与过程安全 • 上一篇    下一篇

Analysis on Refinery System as a Complex Task-resource Network

刘苏昱, 荣冈   

  1. Department of Control Science and Engineering, Institute of Cyber-System and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
  • 收稿日期:2011-07-19 修回日期:2012-02-16 出版日期:2013-03-28 发布日期:2013-04-01
  • 通讯作者: RONG Gang
  • 基金资助:

    Supported by the National High Technology Research and Development Program of China (2012AA041102) and the State Key Development Program for Basic Research of China (2012CB720500).

Analysis on Refinery System as a Complex Task-resource Network

LIU Suyu, RONG Gang   

  1. Department of Control Science and Engineering, Institute of Cyber-System and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
  • Received:2011-07-19 Revised:2012-02-16 Online:2013-03-28 Published:2013-04-01
  • Supported by:

    Supported by the National High Technology Research and Development Program of China (2012AA041102) and the State Key Development Program for Basic Research of China (2012CB720500).

摘要: the resources exchanged among tasks. Using the properties of node degree distribution, strength distribution and other weighted quantities, we demonstrate the heterogeneity of the network and point out the relation between structural characters of vertices and the functionality of corresponding tasks. The above phenomena indicate that the design requirements and principles of production process contribute to the heterogeneous features of the network. Besides, betweenness centrality of nodes can be used as an importance indicator to provide additional information for decision making. The correlations between structure and weighted properties are investigated to further address the influence brought by production schemes in system connectivity patterns. Cascading failures model is employed to analyze the robustness of the network when targeted attack happens. Two capacity assignment strategies are compared in order to improve the robustness of the network at certain cost. The refinery system displays more reliable behavior when the protecting strategy considers heterogeneous properties. This phenomenon further implies the structure-activity relationship of the refinery system and provides insightful suggestions for process system design. The results also indicate that robustness analysis is a promising application of methodologies from complex networks to process system engineering.

关键词: complex network, refinery system, structure-activity relationship, heterogeneity, robustness

Abstract: the resources exchanged among tasks. Using the properties of node degree distribution, strength distribution and other weighted quantities, we demonstrate the heterogeneity of the network and point out the relation between structural characters of vertices and the functionality of corresponding tasks. The above phenomena indicate that the design requirements and principles of production process contribute to the heterogeneous features of the network. Besides, betweenness centrality of nodes can be used as an importance indicator to provide additional information for decision making. The correlations between structure and weighted properties are investigated to further address the influence brought by production schemes in system connectivity patterns. Cascading failures model is employed to analyze the robustness of the network when targeted attack happens. Two capacity assignment strategies are compared in order to improve the robustness of the network at certain cost. The refinery system displays more reliable behavior when the protecting strategy considers heterogeneous properties. This phenomenon further implies the structure-activity relationship of the refinery system and provides insightful suggestions for process system design. The results also indicate that robustness analysis is a promising application of methodologies from complex networks to process system engineering.

Key words: complex network, refinery system, structure-activity relationship, heterogeneity, robustness