An Online Recursive Calculation Method for the Occurrence Rate of Metallurgical Furnace Dust

A calculation method and technology of occurrence rate, applied in the direction of calculation, manufacturing calculation system, data processing application, etc., can solve the problems of untimely calculation and low precision

Active Publication Date: 2019-01-22
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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  • An Online Recursive Calculation Method for the Occurrence Rate of Metallurgical Furnace Dust
  • An Online Recursive Calculation Method for the Occurrence Rate of Metallurgical Furnace Dust
  • An Online Recursive Calculation Method for the Occurrence Rate of Metallurgical Furnace Dust

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Embodiment Construction

[0086] Below in conjunction with implementation example the present invention is described in further detail:

[0087] Taking the flash smelting furnace for copper enrichment as an example, the smoke generated during the smelting process is mainly related to the amount of mixed copper concentrate, slag concentrate, slag-forming flux quartz sand, oxygen unit consumption, slag production, and production. It is related to the amount of matte. Therefore, there are 12 independent variables in the regression fitting model of smoke and dust occurrence rate, among which the main independent variables are selected from mixed copper concentrate, slag concentrate, slagging flux quartz sand, oxygen unit consumption, slag production, matte output There are 6 in total. In order to improve the accuracy of model prediction, the corresponding 6 augmented independent variables are obtained from the main independent variables through nonlinear transformation.

[0088] In this embodiment, the re...

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

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Application Information

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Patent Type & Authority Patents(China)
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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