Multi-crown-block scheduling optimization method and system

An optimization method and crane technology, applied in the field of information, can solve problems such as the complexity and dynamic randomness of crane scheduling that cannot be truly reflected, and affect the efficiency of cranes.

Inactive Publication Date: 2021-03-05
大连英达士智能科技有限公司
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few studies on crane scheduling in steel mills, and most of them cannot truly reflect the complexity an

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
  • Multi-crown-block scheduling optimization method and system
  • Multi-crown-block scheduling optimization method and system
  • Multi-crown-block scheduling optimization method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] refer to figure 1 , the present invention provides a multi-crane vehicle scheduling optimization method, comprising:

[0084] Step S1: Match the tasks and cranes of the day in the steelmaking-refining-continuous casting workshop, and obtain n task-crane sets, where n represents the number of matching tasks-cradle sets;

[0085] Step S2: Establish a multi-crane train dynamic scheduling model, and obtain the travel time of all cranes when all tasks in each task-crane train set are completed;

[0086] Step S3: Update and optimize the n task-crane sets by using double tangent point crossover genetic algorithm based on real number coding, and take the shortest travel time of all cranes when all tasks are completed as the objective function, and obtain the travel time of all cranes when all tasks are completed The shortest sky-car driving path.

[0087] It should be noted that the present invention does not limit the sequence of step S1, step S2 and step S3.

[0088] In th...

Embodiment 2

[0146] Such as Figure 10 As shown, the present invention also provides a multi-crane vehicle scheduling optimization system, including:

[0147] The matching module M1 is used to match the tasks and cranes of the steelmaking-refining-continuous casting workshop on the day, and obtain n task-crane sets, where n represents the matching number of task-cradle sets;

[0148] The time calculation module M2 is used to establish a multi-crane train dynamic scheduling model, and obtain the travel time of all cranes when all tasks in the set of each task-crane train are completed;

[0149] The shortest path calculation module M3 is used to update and optimize the n task-crane sets by means of a double tangency crossover genetic algorithm based on real number coding, and take the shortest travel time of all cranes when all tasks are completed as the objective function to obtain the When all tasks mentioned above are completed, the traveling time of all cranes is the shortest traveling ...

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 relates to a multi-crown-block scheduling optimization method and system, and the method comprises the steps: building a multi-crown-block dynamic scheduling model through the matching of a task and crown blocks, calculating by a double-tangent-point cross genetic algorithm based on real number coding, obtaining an optimal driving scheme of multiple crown blocks in a steelmaking refining continuous casting production process, effectively reducing the invalid number of times of giving way to the crown blocks, and improving the efficiency. The effective operation rate of crown block driving is improved. The model, the algorithm and the rule provided by the invention have the advantages of strong universality, high convergence speed, balance of crown block workload and the like,and have great reference value for improving the crown block operation efficiency, shortening the molten steel waiting time of a station and the like.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a scheduling optimization method and system for multiple cranes in the production process of steelmaking-refining-continuous casting. Background technique [0002] The steelmaking-refining-continuous casting production process is in the upstream of the production process of steel products and is a key link in the production of steel products. Among them, the crane has the advantages of large lifting capacity, relatively stable operation, and does not occupy ground space. It is the main transportation tool for the turnover of ladles in steelmaking workshops between various processes. Reasonable and effective scheduling of cranes will help to improve the hoisting of steel ladles between steelmaking-refining-continuous casting processes, ensure continuous casting of continuous casting machines, lay the foundation for the implementation of upper-level production scheduling and i...

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
IPC IPC(8): G06Q10/06G06Q10/04G06N3/12
CPCG06N3/126G06Q10/04G06Q10/0631G06Q10/06316
Inventor 王志远安慧斌周帆韩中洋
Owner 大连英达士智能科技有限公司
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