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Improved BP Neural Network in a single blow particles of magnesium desulphurization Applications

Author: DongXinLong
Tutor: ChenLongDao;YangHongXia
School: Zhejiang University
Course: Electrical Engineering
Keywords: Single blow particles of magnesium Desulfurization BP neural network PLC Step7 Control
CLC: TF704.3
Type: Master's thesis
Year: 2010
Downloads: 40
Quote: 0
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Abstract


Based on the full understanding of advanced desulfurization process , based on the completion of a single blow particles of magnesium desulphurization process design, and applied hot metal desulphurization Ningbo Steel production process . As hot metal desulphurization process is extremely complex factors , we use BP ( Back Propagation ) neural network approach to single blow particles of magnesium desulphurization mathematical models for modeling . Finally , using the Siemens Industry Automation software Step7 and WinCC6.0 development of the entire process control system. Currently, the international desulfurization process are more mature KR method , a single blow particles of magnesium composite injection process and technology, described in detail the three desulfurization process principles, advantages and disadvantages of their solutions , considering the entire Ningbo Steel hot metal pretreatment process compatibility, economic , raw materials, energy, and environmental and other factors , the choice of the most appropriate single magnesium particles blowing hot metal desulphurization process . Meanwhile, the paper also details the artificial neural network theory and application , developed BP neural network applied to a single blow particles of magnesium desulphurization process mathematical model building complete algorithm . In this process, the author was inspired by Fourier transform presents a new nonlinear interaction function , and thus the BP neural network algorithm has been improved, the eventual adoption of java language based on improved BP neural network algorithm desulfurization model . Finally , the use of the Siemens Industry Automation software development desulfurization process Step7 and WinCC6.0 PLC control system, integrating desulfurization of BP neural network model to achieve a loading , injection , slag and some out process of manual, automatic dual-mode switching, high efficiency and precision through the entire hot metal desulphurization process . Single magnesium particles blowing hot metal desulphurization process can save resources, reduce energy consumption, reduce pollution, it is widely used throughout the steel production industry will improve the economic, social and environmental benefits.

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CLC: > Industrial Technology > Metallurgical Industry > Steelmaking > General issues > Smelting process and operations > Desulfurization
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