Batching optimization method and system based on nonlinear opportunity constraint

An optimization method and non-linear technology, applied in gene models, genetic rules, instruments, etc., can solve the problems of increased smelting costs of zinc concentrate raw materials, large fluctuations in the quality of mixed zinc concentrates, and inconformity with the production process. Low, small error, stable quality effect

Active Publication Date: 2019-11-15
CENT SOUTH UNIV
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Problems solved by technology

[0005] The present invention provides a batching optimization method and system based on nonlinear chance constraints. The unit cost of zinc is the lowest. Taking the consumption of various zinc concentrates as the decision variable, and the content of zinc elements and impurity elements in various zinc concentrates as random variables, a nonlinear chance constrained programming model is constructed, and th...

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  • Batching optimization method and system based on nonlinear opportunity constraint
  • Batching optimization method and system based on nonlinear opportunity constraint
  • Batching optimization method and system based on nonlinear opportunity constraint

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Embodiment 1

[0062] Such as figure 1 As shown, a batching optimization method based on nonlinear chance constraints, including the following steps:

[0063] Obtain the minimum value of the original zinc content of the mixed zinc concentrate in the historical data, the lower and upper limits of the quality of the mixed zinc concentrate, the upper and lower limits of the usage of various zinc concentrates, the zinc concentrate The type and its corresponding price, as well as the minimum or maximum content of each ore impurity element in each ore bin, the unit cost of zinc in the mixed zinc concentrate is the lowest, the usage of various zinc concentrates is used as the decision variable, and each The zinc element content and impurity element content in the zinc concentrate are random variables, and a nonlinear chance constrained programming model is constructed;

[0064] Obtain the mean values ​​and variances of various zinc element contents and impurity element contents corresponding to va...

Embodiment 2

[0068] Embodiment 2 is an extended embodiment of Embodiment 1 of the present invention. It differs from Embodiment 1 in how to obtain the mean values ​​and variances of various zinc element contents and impurity element contents corresponding to various zinc concentrates when they are put into storage. , How to construct a nonlinear chance constrained programming batching optimization model and solve the optimal solution of the nonlinear chance constrained programming model through the corresponding mean and variance of various zinc element contents and impurity element contents when various zinc concentrates are put into storage refined.

[0069] in,

[0070] Obtain the mean and variance of various zinc element contents and impurity element contents corresponding to various zinc concentrates when they enter the warehouse, specifically:

[0071] Zinc concentrates can generally be divided into four categories according to incoming materials, as shown in Table 1.

[0072] Tabl...

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Abstract

The invention discloses a batching optimization method and system based on nonlinear opportunity constraints. The method comprises: fully considering the influence of uncertainty of various mineral element components of the zinc concentrate; taking the lowest unit cost of zinc in the mixed zinc concentrate as a target; establishing a nonlinear opportunity constrained programming burdening optimization model; obtaining corresponding mean values and variances of various zinc element contents and impurity element contents when various zinc concentrates are warehoused to solve an optimal solutionof the nonlinear chance-constrained programming model. Compared with an existing batching method, the mixed zinc concentrate batching method has the advantages that the quality of the prepared mixed zinc concentrate is more stable, and the cost of the used zinc concentrate raw material is lower.

Description

technical field [0001] The invention belongs to the field of non-ferrous metal smelting, and in particular relates to a batching optimization method and system based on nonlinear chance constraints. Background technique [0002] Non-ferrous smelting enterprises are flow-type industries with continuous production processes, and their main task is to extract non-ferrous metals from raw materials through complex physical and chemical processes. The zinc hydrometallurgy production process mainly includes five stages of 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 crucial to the subsequent production process. Due to the unique status quo of zinc resources in our country: there are few rich ores and many low-grade ores; there are few large-scale mines and many medium-sized mines; mining is difficult. Constrained by the disappearance of mine r...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G06N3/12
CPCG06Q10/04G06Q50/02G06N3/126
Inventor 李勇刚陈宇刘卫平阳春华孙备黄科科李育东朱红求
Owner CENT SOUTH UNIV
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