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A kind of soft measurement method and device for product quality of boiling roaster

A fluidized roaster and product quality technology, applied in the field of soft measurement, can solve problems such as the inability to predict the quality of fluidized roaster products, and achieve the effect of effective online prediction

Active Publication Date: 2022-07-12
CENT SOUTH UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present application provides a method and device for soft measurement of fluidized roaster product quality, to at least solve the problem that the product quality of fluidized roaster cannot be effectively predicted in the prior art

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  • A kind of soft measurement method and device for product quality of boiling roaster
  • A kind of soft measurement method and device for product quality of boiling roaster
  • A kind of soft measurement method and device for product quality of boiling roaster

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Embodiment Construction

[0018] It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict. The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0019] It should be noted that the steps shown in the flowcharts of the accompanying drawings may be executed in a computer system, such as a set of computer-executable instructions, and, although a logical sequence is shown in the flowcharts, in some cases, Steps shown or described may be performed in an order different from that herein.

[0020] In the soft measurement method for the product quality of the boiling roaster in the smelting process provided in this embodiment, the product quality of the boiling roaster is predicted online according to a large amount of real-time detection data and some laboratory data that can be obtained on site, which provides the op...

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Abstract

The present application discloses a method and device for soft measurement of product quality of a boiling roasting furnace. The method includes: acquiring multiple sets of production data of the boiling roasting furnace, wherein the production data are multiple parameters of the boiling roasting furnace during production; establishing the boiling roasting furnace The mechanism model of the furnace; Substitute multiple sets of production data into the mechanism model, obtain the optimal values ​​of the unknown model parameters through iterative optimization, and substitute the optimal values ​​of the unknown model parameters into the mechanism model; According to the mechanism model, obtain each group of production The predicted sequence of quality scores corresponding to the data; a neural network model is constructed according to multiple sets of training data, and the neural network model is used to output the predicted quality scores according to the production data. The present application solves the problem in the prior art that the product quality of the boiling roaster cannot be effectively predicted, so that effective online prediction of the product quality of the boiling roaster can be realized.

Description

technical field [0001] The present application relates to the field of soft measurement, in particular, to a method and device for soft measurement of product quality of a boiling roaster. Background technique [0002] In many smelting processes, the boiling roaster is the first reactor to process the concentrate. In the boiling roaster, the concentrate rich in metal sulfides is fully reacted with oxygen in the air and oxidized to calcine. Calcinate is the main raw material of the downstream process, and its main components are soluble substances (metal oxides and metal sulfates) and some insoluble substances in the subsequent wet process (unreacted metal sulfides and insoluble metal salts) . Increasing the content of soluble substances in calcine and reducing the content of insoluble impurities is very important for the production and operation of downstream processes. However, in the actual production process, due to the harsh on-site production environment, the low sam...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F119/14
CPCG06F30/20G06F2119/14Y02P90/30
Inventor 李勇刚冯振湘孙备阳春华黄忠民桂卫华朱红求龙双刘卫平
Owner CENT SOUTH UNIV
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