A Batching Optimization Method Based on Variational Bayesian Feedback Optimization

A technology of variational Bayesian and optimization methods, applied in the field of batching optimization based on variational Bayesian feedback optimization, can solve problems such as uncertain composition and affecting the quality of zinc concentrate batching, so as to reduce large fluctuations and improve compliance The probability, the effect of ensuring temperature operation

Active Publication Date: 2022-06-17
CENT SOUTH UNIV
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Problems solved by technology

[0005] Based on the above problems, the present invention provides a batching optimization method based on variational Bayesian feedback optimization to solve the problem that the uncertain composition of zinc concentrate affects the quality of zinc concentrate batching

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  • A Batching Optimization Method Based on Variational Bayesian Feedback Optimization
  • A Batching Optimization Method Based on Variational Bayesian Feedback Optimization
  • A Batching Optimization Method Based on Variational Bayesian Feedback Optimization

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Embodiment Construction

[0051] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are intended to illustrate the present invention, but not to limit the scope of the present invention.

[0052] The invention provides a batching optimization method based on variational Bayesian feedback optimization, such as figure 1 As shown in the block diagram, it includes the following steps:

[0053] S1. Establish a distribution parameter optimization model according to the assay value of the previous batching process of zinc concentrate;

[0054] The distribution parameter optimization model is:

[0055] z=X1·w+X2·λ+ε (1)

[0056]Among them, z is the test value, including the ratio of M one-time feedbacks, M is the number of the test value one-time feedback ratio; X1 is the ratio that obeys the normal distribution, the dimension is N1, and w is the component that obeys the normal distri...

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Abstract

The invention discloses a batching optimization method based on variational Bayesian feedback optimization, which establishes a distribution parameter optimization model based on the test values ​​of the last round of batching process of zinc concentrate, and optimizes the distribution parameters through the variational Bayesian method Optimizing the parameters of the model, substituting the optimized posterior probability distribution into the distribution parameter optimization model; then combining the nonlinear chance constraint programming model for proportioning, acting on the batching process; and feeding back a new round of test values ​​to the Distribution parameter optimization model. According to the feedback test value, the variational Begas method is used to optimize and adjust the components of each ore bin to solve the problem of uncertainty in the composition of zinc concentrate in each ore bin, thereby optimizing the ratio and improving the quality of ingredients.

Description

technical field [0001] The invention relates to the technical field of smelting, in particular to a batching optimization method based on variational Bayesian feedback optimization. Background technique [0002] Non-ferrous smelting enterprises belong to the process industry with continuous production process, and their main task is to extract non-ferrous metals in raw materials through complex physical and chemical processes. The hydrometallurgical zinc production process mainly includes five sections: batching, roasting, leaching, purification and electrolysis. The batching process is the pre-process of the roasting process, and the quality of the zinc concentrate after batching is very important for the subsequent production process. The uncertainty of the main components of zinc concentrate in each mine has become the biggest problem at present, which is mainly caused by the following reasons: 1) There are a wide variety of ore sources of varying quality. There are more...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06Q10/04G06Q10/06G06Q50/04G06F17/16G06F17/18G06K9/62G06N3/04G06N3/08C22B19/02
CPCG06F30/27G06Q10/04G06Q10/06395G06Q50/04G06F17/16G06F17/18G06N3/084G06N3/086C22B19/02G06N3/044G06F18/24155Y02P90/30
Inventor 李勇刚陈宇孙备阳春华李育东刘卫平黄科科
Owner CENT SOUTH UNIV
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