Title :
The Application of the Association Rules Mining Based on the Fuzzy Systemic Clustering in the Hydrocracking Refining Device
Author :
Li, Rongyu ; Xu, Liping ; Yang, Xiaojian ; Yin, Xuan
Author_Institution :
Coll. of Electron. & Inf. Eng., Nanjing Univ. of Technol., Nanjing, China
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.
Keywords :
data mining; fuzzy set theory; hydrological techniques; pattern clustering; surface cracks; aromatic hydrocarbon; aromatic hydrocarbon content; association rules mining; catalyst cracking diesel oil; data mining; fuzzy systemic clustering; hydrocracking refining device; medium pressure cracking technology; nitrogen; Association rules; Chemical technology; Data analysis; Data mining; Fuzzy systems; Hydrocarbons; Nitrogen; Petroleum; Protection; Refining;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.1179