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Optimization analysis based on intelligent control of the process of the blast furnace

C. N. Zhang   ORCID icon orcid.org/0000-0003-4458-6114 ; School of Software, University of Science and Technology Liaoning, Anshan City, China
Y. R. Li   ORCID icon orcid.org/0000-0003-4458-6114 ; School of Software, University of Science and Technology Liaoning, Anshan City, China

Puni tekst: engleski, pdf (163 KB) str. 7-10 preuzimanja: 178* citiraj
APA 6th Edition
Zhang, C.N. i Li, Y.R. (2019). Optimization analysis based on intelligent control of the process of the blast furnace. Metalurgija, 58 (1-2), 7-10. Preuzeto s https://hrcak.srce.hr/206465
MLA 8th Edition
Zhang, C. N. i Y. R. Li. "Optimization analysis based on intelligent control of the process of the blast furnace." Metalurgija, vol. 58, br. 1-2, 2019, str. 7-10. https://hrcak.srce.hr/206465. Citirano 22.09.2019.
Chicago 17th Edition
Zhang, C. N. i Y. R. Li. "Optimization analysis based on intelligent control of the process of the blast furnace." Metalurgija 58, br. 1-2 (2019): 7-10. https://hrcak.srce.hr/206465
Harvard
Zhang, C.N., i Li, Y.R. (2019). 'Optimization analysis based on intelligent control of the process of the blast furnace', Metalurgija, 58(1-2), str. 7-10. Preuzeto s: https://hrcak.srce.hr/206465 (Datum pristupa: 22.09.2019.)
Vancouver
Zhang CN, Li YR. Optimization analysis based on intelligent control of the process of the blast furnace. Metalurgija [Internet]. 2019 [pristupljeno 22.09.2019.];58(1-2):7-10. Dostupno na: https://hrcak.srce.hr/206465
IEEE
C.N. Zhang i Y.R. Li, "Optimization analysis based on intelligent control of the process of the blast furnace", Metalurgija, vol.58, br. 1-2, str. 7-10, 2019. [Online]. Dostupno na: https://hrcak.srce.hr/206465. [Citirano: 22.09.2019.]

Sažetak
The blast furnace needs to continuously improve of thermal efficiency so as to achieve the goal of energy saving and consumption reduction. By collecting a large amount of field data, the isolated point removal strategy of isolated point is introduced to carry out preprocessing, and the semi-supervised clustering algorithm is adopted to optimize the combustion control process of the blast furnace. This method has been verified by experiments, compared with the traditional data preprocessing strategy, the energy saving effect is obvious.

Ključne riječi
blast furnace; thermal efficiency; intelligent control; temperature; gas/air flow

Hrčak ID: 206465

URI
https://hrcak.srce.hr/206465

Posjeta: 311 *