Electrolytic aluminum intelligent aluminum distribution scheduling method based on deep immune clone algorithm

A technology of immune cloning and scheduling method, which is applied in the field of intelligent aluminum distribution scheduling for electrolytic aluminum based on deep immune cloning algorithm, can solve the problems of large variance in the quality of output aluminum liquid, difficulty in manual calculation, waste of resources, etc., and achieve improved aluminum distribution. The effect of scheduling quality, simple data structure, and improved iteration speed

Active Publication Date: 2020-11-13
LANZHOU UNIVERSITY OF TECHNOLOGY +1
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, most aluminum plants in China use traditional manual calculation methods to schedule aluminum distribution. However, since aluminum distribution scheduling is a complex multi-objective combination optimization problem, there are many factors to be considered. The quality requirements of molten aluminum in the package, the movement path requirements of the crane, the liquid volume of the molten aluminum ladle, and the special requirements such as not allowing cross-shift aluminum output, cross-work area aluminum output, and the variance of the output aluminum liquid quality as large as possible, etc. As a result, manual calculation is very difficult, and it is often impossible to achieve the best aluminum allocation scheduling. Quality accidents caused by excessive aluminum content are not uncommon. The waste of resources caused by poor aluminum allocation scheduling is also inestimable.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electrolytic aluminum intelligent aluminum distribution scheduling method based on deep immune clone algorithm
  • Electrolytic aluminum intelligent aluminum distribution scheduling method based on deep immune clone algorithm
  • Electrolytic aluminum intelligent aluminum distribution scheduling method based on deep immune clone algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0057] combine figure 1 As shown, using the electrolytic aluminum intelligent aluminum distribution scheduling method based on the deep immune cloning algorithm of the present invention to carry out the specific operation steps of the aluminum distribution scheduling operation is as follows:

[0058] Step S1, acquiring data parameters.

[0059] Among them, the data parameters that need to be obtained include: calculation parameters used for the calculation model of aluminum allocation scheduling, such as population size, cloning multiple, number of iterations, and mutation rate; calculation parameters determined by the application scenario, such as population initialization strategy, maximum safety of package delivery Capacity, single minimum aluminum output, gradient splitting parameters, gradient quality requirement drop parameters; expe...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of aluminum distribution scheduling. In order to improve the efficiency and quality of aluminum distribution scheduling, the invention discloses an electrolytic aluminum intelligent aluminum distribution scheduling method based on a deep immune clone algorithm. The method comprises the following steps: S1, obtaining data parameters; s2, splitting the electrolytic cell according to population initialization strategy configuration; s3, introducing a coding sequence to establish a corresponding relationship with the split electrolytic cell, and constructing a coding sequence group through crossover variation; and S4, performing optimal iterative computation based on a deep immune clone algorithm to obtain an optimal coding sequence, and performingpackaging operation on the optimal coding sequence to obtain an optimal aluminum distribution scheduling scheme. By the adoption of the method, the calculation efficiency of aluminum distribution scheduling can be improved, the ladle quality can be improved, and optimal aluminum distribution scheduling is achieved.

Description

technical field [0001] The invention belongs to the technical field of aluminum distribution scheduling in the electrolytic aluminum industry, and in particular relates to an intelligent aluminum distribution scheduling method for electrolytic aluminum based on a deep immune cloning algorithm. Background technique [0002] The aluminum industry is a typical process industry, and electrolytic alumina is the core process link in the production process of the aluminum industry. The amount of aluminum output from a single electrolytic tank varies according to its model. Taking an electrolytic aluminum factory in Northwest my country as an example, the single output aluminum output of a single tank is about 1500-3000Kg, and the aluminum liquid ladle capacity for loading aluminum liquid is usually 4000- 6500Kg, so that when the aluminum is tapped, the aluminum liquid ladle needs to extract the aluminum liquid from multiple electrolytic cells. Among them, due to the limitation of o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06F17/11C25C3/20G06Q10/06G06Q50/04
CPCG06N3/006G06F17/11C25C3/20G06Q10/06312G06Q50/04Y02P90/30
Inventor 李建华董楠唐宁王睿徐家生张成张晨曦李佳慧
Owner LANZHOU UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products