基于神经网络算法对DCC装置的大数据高阶优化

High-order Optimization of Big Data in DCC Device Based on Neural Network Algorithm

结合集团公司提出的加快建设数字化工厂的设想,利用过程工业大数据高阶优化对DCC装置进行诊断分析,搭建软件模型,论述现有数据建模方法,提升潜力并优化工艺控制,达到降本增效的目的。最后,探讨过程工业大数据高阶优化的特点和挑战,实现业务价值的提升。

Combined with the idea of accelerating the construction of a digital factory proposed by the group company,high-order optimization of process industry big data was used to diagnose and analyze DCC devices,and a software model was built,existing data modeling methods were discussed to reduce costs and increase efficiency.Finally,the characteristics and challenges of high-level optimization of process industry big data were analyzed in order to realize the improvement of business value.