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Zinc smelting burdening optimization method and system

An optimization method, zinc smelting technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve the problems of increased smelting cost of zinc concentrate raw materials, large fluctuations in the quality of mixed zinc concentrate, and inconformity with the production process, etc.

Active Publication Date: 2019-11-22
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method and system for optimizing the batching of zinc smelting. After considering the uncertainty of the composition of each ore bin, the goal is to minimize the total price of the batching. Content and quality of use as constraints to establish a distributed robust batching optimization model to solve its optimal solution to guide zinc smelting batching, so as to solve the problem that the existing method of using the average value for batching will lead to large fluctuations in the quality of mixed zinc concentrate or even It does not meet the requirements of the follow-up production process, resulting in the technical problem of increasing the cost of zinc concentrate raw material smelting

Method used

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  • Zinc smelting burdening optimization method and system
  • Zinc smelting burdening optimization method and system
  • Zinc smelting burdening optimization method and system

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Experimental program
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Effect test

Embodiment 1

[0075] Such as figure 1 Shown, a kind of zinc-smelting batching optimization method comprises the following steps:

[0076] A method for optimizing zinc smelting ingredients, comprising the following steps:

[0077] Obtain the minimum or maximum content of various mineral elements in the historical data, the upper limit of the usage of various zinc concentrates, the total amount of total zinc concentrates used, the types of zinc concentrates and their corresponding prices, and Aiming at the lowest production cost of zinc in mixed zinc concentrates, taking the usage of various zinc concentrates as decision variables, and taking the content of various mineral elements in various zinc concentrates as random variables, a distributed robust joint chance-constrained programming is constructed Model;

[0078] Obtain the mean value and variance of various mineral elements corresponding to various zinc concentrates when they are put into storage, and solve the optimal solution of the...

Embodiment 2

[0084] Embodiment 2 is an extended embodiment of Embodiment 1. The difference lies in the calculation of the second-order moment matrix of the covariance matrix of various mineral elements in various zinc concentrates, and how to construct a distributed robust joint opportunity The constraint programming model and how to solve the distributed robust joint chance constraint programming model are detailed.

[0085] in,

[0086] Calculation of the second moment matrix of the covariance matrix of various mineral elements in various zinc concentrates, including

[0087] According to the fluorescent test data of zinc concentrates in each warehouse, use statistical methods to obtain the mean and variance of each component in each warehouse

[0088] The formula for calculating the mean is as follows:

[0089]

[0090] The formula for calculating the variance is as follows:

[0091]

[0092] Since the amount and composition of zinc concentrate in each mine is changing dynamica...

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Abstract

The invention discloses a zinc smelting burdening optimization method and system. The method comprises: constructing a distributed robust joint chance constraint planning model by taking the lowest total burdening price as a target, taking the lowest production cost of zinc in the mixed zinc concentrate as a target, taking the usage amount of various zinc concentrates as a decision variable and taking the content of various mineral elements in various zinc concentrates as a random variable after considering the uncertainty of the components of each ore bin; obtaining mean values and variancesof various corresponding mineral elements when various zinc concentrates are put in storage, and solving an optimal solution of the distributed robust joint chance constraint planning model accordingto the mean values and the variances; and burdening the mixed zinc concentrate required by zinc concentrate smelting according to the proportions of various zinc concentrates corresponding to the obtained optimal solution. Compared with an existing method for burdening by adopting an average value, the optimal solution solved by the model is used for knowing zinc smelting burdening, the quality ofthe 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 nonferrous metal smelting, and in particular relates to a method and system for optimizing zinc smelting batching. 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 resources and the declin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/067G06Q10/06395
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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