Optimal setting for coking flue gas denitriation process indices based on PCR-multi-case fusion

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	Optimal setting for coking flue gas denitriation process indices based on PCR-multi-case fusion
	Li YN(李亚宁)1,2 ; Wang XL1 ; Bai XW1,2 ; Tan J1 ; Liu CB 1,2
	2017-06
会议名称	3th IEEE International Conference on Cybernetics
页码	1-7
会议日期	21-23 June, 2017
会议地点	Exeter
摘要	In the operation process of the flue gas desulfurization and denitriation, the concentration of ozone and denitriation solution are the most important operating parameters. The two parameters are set manually at the present, where exist great subjectivity and randomness, causing great waste of energy. However, the complex mechanism, serious nonlinear and interference of the process make it difficult to establish precise mathematical model to calculated set-points. In order to solve this problem, a method based on case based reasoning is proposed to optimize the set-points of coking gas denitriation process. The case construction, case retrieval, case reuse, case modification and storage are discussed in detail, meanwhile, noticed the defect that the single feature description of current working condition may result in biased solutions of traditional case reuse, a case reuse method based on principal component regression-multiple case fusion is proposed. This approach has been simulated and applied in a coking plant with its effectiveness and superiority actually proved.
关键词	Coking Flue Gas Denitration(Dn) Case-based Reasoning(Cbr) Principal Component Regression(Pcr)
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21183
专题	中国科学院工业视觉智能装备工程实验室_工业智能技术与系统
作者单位	1.中国科学院自动化研究所 2.中国科学院大学
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li YN,Wang XL,Bai XW,et al. Optimal setting for coking flue gas denitriation process indices based on PCR-multi-case fusion[C],2017:1-7.

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