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Multi-metal multi-objective ore blending method based on adaptive particle swarm algorithm

A particle swarm algorithm and multi-metal technology, applied in calculation, calculation model, data processing application, etc., can solve problems that cannot solve actual needs and have no solution

Inactive Publication Date: 2018-01-19
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

From domestic and foreign perspectives, in the current actual production of ore blending, the original single-metal single-target, multi-metal single-target or single-metal multi-target ore blending models cannot meet the actual needs of multi-metal multi-target ore blending in open-pit mines. , and there is no suitable algorithm to solve

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  • Multi-metal multi-objective ore blending method based on adaptive particle swarm algorithm
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  • Multi-metal multi-objective ore blending method based on adaptive particle swarm algorithm

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Embodiment Construction

[0067] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0068] A multi-metal multi-objective ore blending method of a metal open-pit mine of the present invention comprises the following steps:

[0069] (1) Determine the actual production requirements and indicators of ore blending in open-pit mines, and build a multi-metal multi-objective ore blending model based on the actual production requirements and indicators of ore blending in mines. During the process, the mine's production task requirements, maximum production capacity, and target grade should be considered comprehensively Requirements, transportation work and other factors.

[0070] Specifically, according to the actual production requirements and indicators of the mine, a multi-metal and multi-objective ore blending model with the goal of minimizing the deviation of transportation work and ore blending grade is constructed. The mode...

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Abstract

The present invention discloses a multi-metal multi-objective ore blending method based on an adaptive particle swarm algorithm. The method comprises: determining actual production requirements and indexes of ore blending of metal opencast mines; minimizing the transportation work and the grade deviation as the objective, and constructing a multi-metal multi-objective ore blending model; carryingout improvement on the basic particle swarm algorithm to obtain an adaptive multi-objective particle swarm algorithm; and using the adaptive multi-objective particle swarm algorithm to solve the multi-metal multi-objective ore blending model. The present invention provides an effective ore blending method for the production management of the multi-metal multi-objective ore blending, realizes complete description of the actual ore blending process of the multi-metal multi-objective opencast mines, and adopts an adaptive multi-objective particle swarm optimization algorithm to solve the problem,so that the solution of the multi-metal multi-objective model is more scientific, reasonable and practical; and the ore blending method can effectively achieve the equilibrium of the ore blending grade, reduce the transportation cost of the enterprise, and significantly improve the comprehensive utilization rate and economic benefit of the ore.

Description

technical field [0001] The invention belongs to the technical field of mining system engineering and mine optimization, and in particular relates to a multi-metal and multi-objective ore blending method for metal open-pit mines. Background technique [0002] Ore blending is an important means to ensure the balance of ore grade and resource recycling in mining industrial production. With the comprehensive recycling of resource mining, the optimization of multi-metal and multi-objective ore blending has become one of the focuses of the mining industry. Scientific and reasonable multi-metal multi-objective ore blending can effectively ensure the balance of ore blending grade, reduce the transportation cost of enterprises, and significantly improve the comprehensive utilization rate and economic benefits of ore. From domestic and foreign perspectives, in the current actual production of ore blending, the original single-metal single-target, multi-metal single-target or single-me...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G06N3/00
Inventor 顾清华卢才武孟倩倩杨震聂兴信李迎峰王明虎马龙
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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