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Fluidized bed roaster product quality soft measurement method and device

A technology of boiling roasting furnace and product quality, which is applied in the field of soft measurement, can solve problems such as the inability to predict product quality of boiling roasting furnace, and achieve the effect of effective online prediction.

Active Publication Date: 2021-08-10
CENT SOUTH UNIV
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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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  • Fluidized bed roaster product quality soft measurement method and device
  • Fluidized bed roaster product quality soft measurement method and device
  • Fluidized bed roaster product quality soft measurement method and device

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Embodiment Construction

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

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

[0020] The soft measurement method for fluidized roaster product quality in the smelting process provided in this embodiment is based on a large number of real-time detection data and some laboratory data that can be obtained on site to predict the product quality of the fluidized roaster online, providing a basis for optimal control of the fluidized roa...

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Abstract

The invention discloses a fluidized bed roaster product quality soft measurement method and device; the method comprises the steps: obtaining a plurality of groups of production data of a fluidized bed roaster, the production data being a plurality of parameters of the fluidized bed roaster during production; establishing a mechanism model of the fluidized bed roaster; substituting the plurality of groups of production data into the mechanism model, obtaining an optimal value of an unknown model parameter through iterative optimization, and substituting the optimal value of the unknown model parameter into the mechanism model; obtaining a quality score prediction sequence corresponding to each group of production data according to the mechanism model; and constructing a neural network model according to the multiple groups of training data, wherein the neural network model is used for outputting a predicted quality score according to the production data. According to the method and the device, the problem that the product quality of the fluidized bed roaster cannot be effectively predicted in the prior art is solved, so that effective online prediction of the product quality of the fluidized bed 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 fluidized roaster product quality. Background technique [0002] In many smelting processes, the fluidized roaster is the first reactor to process the concentrate. In the fluidized roaster, the concentrate rich in metal sulfides reacts fully with the oxygen in the air and oxidizes into calcine. Calcined sand is the main raw material for the downstream process, and its main components are soluble substances (metal oxides and metal sulfates) and some substances that are insoluble 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 environ...

Claims

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Application Information

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Patent Type & Authority Applications(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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