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Online recursive calculation method for fume occurrence rate of metallurgical furnace

A calculation method and technology of occurrence rate, which can be used in computing, manufacturing computing systems, data processing applications, etc., and can solve the problems of untimely calculation and low precision.

Active Publication Date: 2015-11-04
金川集团信息与自动化工程有限公司
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Problems solved by technology

[0004] The present invention aims at the shortcomings of untimely calculation and low precision in the calculation of the occurrence rate of smoke in metallurgical furnaces and kilns, and provides an online method for calculating the occurrence rate of smoke in metallurgical furnaces and kilns. Constraint relationship among control elements such as oxygen unit consumption, slag production, etc., deduce the regression model, use the least squares fitting recursion to solve the regression coefficient of the recursive model of soot occurrence rate, and deduce the soot generation rate of metallurgical kiln by recursion, which is the metallurgical Furnace heat balance and material balance optimization control model provides data support

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  • Online recursive calculation method for fume occurrence rate of metallurgical furnace
  • Online recursive calculation method for fume occurrence rate of metallurgical furnace
  • Online recursive calculation method for fume occurrence rate of metallurgical furnace

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Embodiment Construction

[0092] In the following, the present invention will be further described in detail with reference to implementation examples:

[0093] Taking the flash smelting furnace used for copper enrichment as an example, the smoke and dust generated during the smelting process are mainly mixed with the amount of copper concentrate, the amount of slag concentrate, the amount of slagging flux quartz sand, the unit consumption of oxygen, the amount of slag produced, and the production It is related to the amount of copper matte. Therefore, the soot incidence regression fitting model has a total of 12 independent variables, of which the main independent variable is selected to enter the furnace to mix copper concentrate, slag concentrate, slagging flux, quartz sand, oxygen consumption, slag produced, and copper matte produced There are 6 in total. In order to improve the accuracy of model prediction, the corresponding 6 augmented independent variables are obtained by nonlinear transformation o...

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Abstract

The present invention provides an online recursive calculation method for fume occurrence rate of a metallurgical furnace. The method comprises: according to independent historical data in an uncertain interval period, constructing a nonlinear regression constraint model; performing nonlinear transformation and normalization processing on sample data; and calculating a coefficient matrix of a recursive model with a least square partial differential method. According to the method, the data is stored by using a fixed-length time sequence queue to facilitate updating of the historical data, and the regression coefficient matrix of the recursive model is calculated with the least square partial differential method, so that online prediction of the fume occurrence rate is implemented and data support is provided for online control and production decision of the metallurgical furnace.

Description

Technical field [0001] The invention relates to a recursive calculation method of the smoke and dust occurrence rate of a metallurgical furnace and belongs to the field of online control of a metallurgical furnace. Background technique [0002] What is going on in the metallurgical furnace is a complex physical and chemical reaction among materials such as concentrate, fuel and air in the high-temperature molten state. In order to control the output quality of metallurgical furnaces and kilns, most large-scale smelters at home and abroad have established online control models for metallurgical furnaces and kilns to perform real-time calculations of metal balance and heat load balance of metallurgical furnaces, and use the calculation results as the precedent of the online control model. The basis of feedback setting and feedback correction provides optimized decision data for basic loops such as wind, oxygen, and oil. The smoke and dust occurrence rate is a necessary parameter ...

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Application Information

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IPC IPC(8): G06Q50/04
CPCY02P90/30
Inventor 张海峰王锐李瑞芳鞠永刚赵雷高辉
Owner 金川集团信息与自动化工程有限公司
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