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Multi-robot collaborative assembly line balancing method considering energy efficiency

A multi-robot, assembly line technology, applied in the instrument, energy industry, multi-objective optimization and other directions, can solve the problems of high cost and energy consumption of robots

Pending Publication Date: 2021-12-21
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, robots consume a lot of energy in the process of product assembly, and the cost of robots is relatively high at present

Method used

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  • Multi-robot collaborative assembly line balancing method considering energy efficiency
  • Multi-robot collaborative assembly line balancing method considering energy efficiency
  • Multi-robot collaborative assembly line balancing method considering energy efficiency

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Experimental program
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Embodiment Construction

[0080] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0081] experiment

[0082] Based on the prioritization diagram of five classic problems (Jackson, Rosenberg, Gunther, Hahn, Tonge) proposed by previous research on assembly line balancing problems (http: / / www.assembly-line-balancing.de / ), random generation of robots Assemble the time and energy consumption of each task, and divide each problem into 4 different workstations, a total of 20 sets of data for experiments.

[0083] At the same time, the multi-objective imperialist competitive algorithm (MOHICA) proposed by the present invention is combined with the multi-objective imperialist competitive algorithm (Multi-Objective Imperialist Competitive Algorithm, MOICA) and the classical algorithm non-dominated selection that currently has better performance in solving multi-objective problems The genetic algorithm (NSGA-II) was ...

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PUM

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Abstract

A multi-robot collaborative assembly line balancing method considering energy efficiency is characterized in that in the first part process, the multi-robot collaborative assembly line balancing problem considering energy efficiency is constructed, and optimization targets comprise the takt time of an assembly line, the total energy consumption in the assembly process and the total robot input cost; and in a second process, the method includes constructing a multi-objective hybrid empire competition algorithm (MOHICA), wherein the multi-objective hybrid empire competition algorithm comprises empire initialization, intra-empire assimilation, an LAHC algorithm for local search, intra-empire updating and colonies competition. The RALBP multi-target optimization research of multi-robot collaborative assembly based on energy efficiency is provided, and the total energy consumption of the assembly line and the total investment cost of the robots are reduced as much as possible while the rhythm of the assembly line body is ensured.

Description

technical field [0001] The invention relates to the technical field of assembly line balance. Background technique [0002] The assembly line is an important way to organize large-scale standardized production. The improvement of assembly line efficiency can effectively promote production and improve economic benefits. Therefore, the problem of assembly line balance has been the focus of people's attention and research since it was proposed in the 1950s. In recent years, with the continuous development of robot technology and its industry, robots are being more and more widely used in assembly lines. The application of robots improves the efficiency and flexibility of assembly lines, improves product quality, and reduces cost consumption. However, there is also the problem of robot assembly line balance; moreover, robots also consume a lot of energy during the assembly process of products. Through statistical data analysis, Siemens predicts that for industrial robots wide...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06Q10/06G06F111/04G06F111/06
CPCG06F30/27G06Q10/06312G06Q10/06311G06F2111/06G06F2111/04Y02P80/10
Inventor 靳文瑞朱雨彤周炳海
Owner TONGJI UNIV
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