The Application of the Association Rules Mining Based on the Fuzzy Systemic Clustering in the Hydrocracking Refining Device

  • Authors:
  • Rongyu Li;Liping Xu;Xiaojian Yang;Xuan Yin

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICISE '09 Proceedings of the 2009 First IEEE International Conference on Information Science and Engineering
  • Year:
  • 2009

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Abstract

Hydrocracking technology is Medium Pressure Cracking technology applied to change the quality of the catalyst cracking diesel oil. It can resolve catalyst cracking diesel oil sulfur, nitrogen, the aromatic hydrocarbon content high, 16- alkanes low etc problem, taking the very important meaning for the environmental protection. Data mining taking data as analysis object is an application technology. Mature technology, accumulated data and practical needs provides a perfect opportunity for the combination of chemical technology and data mining. The paper takes the sulfur content in crude oil and process data of hydrocracking refinery device as mining object, and makes mining algorithm of association rules by the fuzzy systemic clustering as research methods for study. The results show that the association rules mining by the fuzzy systemic clustering in the hydrocracking refining device obtains a good application.