化工进展2016，Vol.35Issue(3)：722-726,5.DOI:10.16085/j.issn.1000-6613.2016.03.011
基于粗糙集的智能可视化优化方法用于加氢裂化反应操作优化
Operation optimization of hydrocracking reaction process based on rough set and intelligent visualization optimization method
摘要
Abstract
The historical production data in hydrocracking contains rich operational knowledge,which is not fully mined and exploited. To solve the problem,a novel method is proposed for solving the operation optimization in hydrocracking by intelligent visualization optimization method based on rough set. The continuous operation variables in the production data from practical industrial case are discretized by adaptive discretization. Because reduction of condition attributes is an N-P hard problem,thus heuristic method based on line-up competition algorithm is proposed to carry out the reduction. Results show that the proposed heuristic method can reserve the key operation variable and reduce the redundant ones efficiently,and 4 of 12 variables are reduced in hydrocracking reaction data. On the basis of the reduction,the processed data are mapped onto the plane by intelligent visualization optimization method,thus contours are created. The optimizing region and optimal operating point of the yield of aviation kerosene can be seen intuitively. Optimization result shows that the yield of aviation kerosene is promoted from previous 33.98% to 37.58% within the constraints.关键词
过程系统/优化/算法/加氢裂化反应/智能可视化优化方法Key words
systems engineering/optimization/algorithm/hydrocracking/intelligent visualization optimization method分类
化学化工引用本文复制引用
杨旭,汪坤,肖翔,周靖,史彬,鄢烈祥..基于粗糙集的智能可视化优化方法用于加氢裂化反应操作优化[J].化工进展,2016,35(3):722-726,5.基金项目
国家自然科学基金（21376185）及国家高技术研究发展计划（2011AA02A206）项目。 （）
