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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 CB1,2
2017-06
Conference Name3th IEEE International Conference on Cybernetics
Pages1-7
Conference Date21-23 June, 2017
Conference PlaceExeter
AbstractIn 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.
KeywordCoking Flue Gas Denitration(Dn) Case-based Reasoning(Cbr) Principal Component Regression(Pcr)
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21183
Collection综合信息系统研究中心
Affiliation1.中国科学院自动化研究所
2.中国科学院大学
Recommended Citation
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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