应用智能可视化优化方法确定催化重整的优化操作区域

发布时间：2018-12-16 01:05

【摘要】：为了确定催化重整的优化操作区域,以方便催化重整过程中操作参数的调节,基于数据驱动的智能可视化优化方法,提出了优化催化重整过程的操作方法。基于该过程的操作数据,以脱戊烷油量和辛烷值为目标,应用智能可视化优化方法建立了降维映射模型,将操作数据降维到二维平面,并生成目标等值线。由此,在映射平面上找到了协调脱戊烷油量和辛烷值两目标的优化操作区域。该优化区域为催化重整过程中操作参数的调节带来了便利,当某个或几个操作参数发生变化时,可通过调节其他参数,使操作点仍然落在优化区域内。应用所提方法对一个季度的操作数据进行统计,结果表明,有96%的操作点在优化区域内,且脱戊烷油量和辛烷值得到了同步提高,验证了所确定优化区域的有效性。
[Abstract]:In order to determine the optimal operation area of catalytic reforming and facilitate the adjustment of operation parameters in the process of catalytic reforming, an intelligent visual optimization method based on data drive was proposed to optimize the operation of catalytic reforming process. Based on the operation data of the process, the dimensionality reduction mapping model is established by using intelligent visual optimization method. The operational data is reduced to the two-dimensional plane and the target contour is generated by using the depentane oil quantity and octane number as the target. Therefore, the optimal operation region of the two targets of depentane oil quantity and octane number is found on the mapping plane. The optimized region facilitates the adjustment of operation parameters in the process of catalytic reforming. When one or more operational parameters change, the operation points can still fall in the optimized area by adjusting other parameters. The results show that 96% of the operation points are in the optimized region and the amount of depentane oil and octane number have been increased synchronously. The validity of the optimized region is verified.
【作者单位】：中国石油化工股份有限公司武汉分公司;武汉理工大学化学化工与生命科学学院;
【基金】：国家自然科学基金资助项目(21376185) 国家高技术研究发展计划资助项目(2011AA02A206)
【分类号】：TE624.42

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