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南京炼油厂与中国科学院上海冶金研究所(高维系统优化公司)共同开发的化学模式识别方法也逐步应用于炼油生产过程,取得较为明显的经济效益. 化学模式识别方法是通过对炼油生产过程中大量准确的原始操作记录的处理,抽提出对分类显著的主要特征参数,并在由此构筑的高维模式空间中,识别优化模式类的聚集规律,从而确定优化操作条件,建立区域化的数字模型,并据此指导生产过程的优化控制.
The chemical pattern recognition method jointly developed by Nanjing Refinery and Shanghai Institute of Metallurgy (High Dimensional System Optimization Company) of the Chinese Academy of Sciences is also gradually applied to the oil refining production process and has obtained obvious economic benefits. The chemical pattern recognition method is implemented through the process of refining the production process A large number of accurate records of the original operation, extract the main features of the classification of significant parameters, and in the resulting high-dimensional pattern space, identify patterns of aggregation of optimization patterns to determine the optimal operating conditions, the establishment of regionalized numbers Model, and accordingly guide the optimization of the production process control.