Optimal setting for coking flue gas denitriation process indices based on PCR-multi-case fusion
文献类型：会议论文
| 作者 | Li YN(李亚宁)1,2 ; Wang XL1; Bai XW1,2; Tan J1; Liu CB1,2
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| 出版日期 | 2017-06 |
| 会议日期 | 21-23 June, 2017 |
| 会议地点 | Exeter |
| 关键词 | Coking Flue Gas Denitration(Dn) Case-based Reasoning(Cbr) Principal Component Regression(Pcr) |
| 页码 | 1-7 |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/21183]  |
| 专题 | 综合信息系统研究中心_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 |
| 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]. 见:. Exeter. 21-23 June, 2017. |
入库方式： OAI收割
来源：自动化研究所
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