Green scheduling optimization method of intelligent manufacturing workshop for complex man-machine coupling

A technology of intelligent manufacturing and optimization methods, applied in manufacturing computing systems, genetic laws, instruments, etc., can solve problems such as low model solving efficiency, complex green scheduling optimization model construction, and falling into local optimum.

Active Publication Date: 2020-04-03
HANGZHOU DE&E ELECTRICAL CO LTD
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Problems solved by technology

[0027] The purpose of the present invention is to overcome the above-mentioned deficiencies in the prior art, and provide a green scheduling optimization method for intelligent manufacturing workshops oriented to complex man-machine coupling, to solve the construction of green scheduling optimization models for intelligent manufacturing workshops in complex man-machine coupling environments Complexity, low model solution efficiency, easy to fall into local optimal problems

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  • Green scheduling optimization method of intelligent manufacturing workshop for complex man-machine coupling
  • Green scheduling optimization method of intelligent manufacturing workshop for complex man-machine coupling
  • Green scheduling optimization method of intelligent manufacturing workshop for complex man-machine coupling

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[0108] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The following examples are explanations of the present invention and the present invention is not limited to the following examples.

[0109] Example.

[0110] see Figure 1 to Figure 2 It should be noted that the structures, proportions, sizes, etc. shown in the drawings attached to this specification are only used to match the content disclosed in the specification, for those who are familiar with this technology to understand and read, and are not used to limit the present invention Therefore, it has no technical substantive meaning, and any modification of structure, change of proportional relationship or adjustment of size shall still fall into the within the scope covered by the technical content disclosed in the present invention. At the same time, if there are terms such as "upper", "lower", "left", "right", "middle" and "one" in this spe...

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Abstract

The invention relates to a green scheduling optimization method of an intelligent manufacturing workshop for complex man-machine coupling, and belongs to the field of workshop operation scheduling optimization. The method is characterized by comprising the following steps: 1, determining the number of employees working at work, the electricity prices in different time periods, the characteristic parameters of available equipment and the like; 2, constructing a multi-objective function of green scheduling optimization; 3, constructing constraint conditions of green scheduling optimization; 4, making a greedy strategy according to the objective function of the problem; 5, solving the model through an improved non-dominated sorting genetic algorithm.

Description

technical field [0001] The invention relates to a green scheduling optimization method for an intelligent manufacturing workshop oriented to complex man-machine coupling, and belongs to the field of workshop job scheduling optimization. [0002] In view of the strong autonomous operation ability in the operation process of the equipment in the intelligent manufacturing workshop, the dependence on employees is small, while the operations such as mold change and production preparation are complicated, and the dependence on employees is large at this time, that is, the complex manpower Green scheduling optimization under the machine-machine coupling relationship, especially the workshop job scheduling optimization method that considers equipment energy consumption in mixed human-machine operation scenarios such as one person with multiple machines, multiple people with one machine, and multiple people with multiple machines. Background technique [0003] One: Linear programming...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06N3/12
CPCG06Q10/06312G06Q10/06313G06N3/126G06Q10/06316G06Q50/04Y02P90/30
Inventor 徐志涛高德康施迪军雷振垅张钦谢乃明明新国姚坤
Owner HANGZHOU DE&E ELECTRICAL CO LTD
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