Methods for automatic identification of coke ovens for auto positioning systems in coke plant of steel industries

• Autorzy: Patra P. , Kundu C. , Ghosh A. , Tudu B. , Bandyopadhyay R.

Identyfikatory

DOI

10.29354/diag/90280

• Języki publikacji: EN

Abstrakty

EN

Blast furnace operation requires highest quality raw materials, operation and operators. Among them coke is the most important, in terms of its effect on operation and hot metal quality. A good grade coke produces highest thermal energy and it is highly efficient in case of metal reduction. Usage of good grade coke to blast furnace will ensure lower coke rate, higher productivity and lower hot metal cost. In order to concentrate the carbon in coke the coke making process involves carbonation of coal to high temperature (1100°C) in oxygen free atmosphere. There is need to automate the coke oven operations as much as possible. In order to improve the level of control and management of coke oven, the research on intelligent control system is carried out. In modern advanced control system of coke oven, the control scheme of combination, feedback & feed-forward merged with management are widely utilized. The integrated management and control system of coke oven is introduced systematically, including the production plan and scheduling management (Dynamic scheduling) & heating control system (Mathematical modeling) i.e. evaluating battery temperature, intelligent combustion control and pressure control of gas collector of coke oven battery.

Słowa kluczowe

EN

LASER; image processing; RADAR; RFID; coke oven

PL

stal; przetwarzanie obrazów; piec koksowniczy; sterowanie; kontrola

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2018
• Tom: Vol. 19, No. 2
• Strony: 95--103
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Patra P.

• TATA Steel Instrumentation & Control

autor

Kundu C.

• TATA Steel Instrumentation & Control

autor

Ghosh A.

• NIT Patna

autor

Tudu B.

• Jadavpur University

autor

Bandyopadhyay R.

• Jadavpur University

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).