Clipping bed separation method based on speedup-factor adaptive particle swarm optimization

A particle swarm optimization and acceleration factor technology, applied in the field of cutting bed cutting and bed separation, can solve the problems of large error, low efficiency, long time consumption, etc., and achieve the effect of small error, high efficiency and fast search speed

Inactive Publication Date: 2017-11-10
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the shortcomings of long time-consuming, large error and low efficiency in determining the current method of cutting and dividing beds, the present invention introduces a modern intelligent optimization algorithm and provides a cutting and dividing method based on the SAPSO algorithm, which improves the efficiency of determining the bed dividing scheme and reduces The material budget is improved, and the cutting quantity error is reduced

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  • Clipping bed separation method based on speedup-factor adaptive particle swarm optimization
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  • Clipping bed separation method based on speedup-factor adaptive particle swarm optimization

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[0057] specific implementation plan

[0058] The present invention will be further described below in conjunction with the accompanying drawings and specific examples.

[0059] refer to Figure 1 to Figure 6 , a cutting and dividing bed method based on the adaptive acceleration factor particle swarm optimization algorithm, including the following steps:

[0060] The first step is to set the initial constraints and the parameters of the SAPSO algorithm for the cutting sub-bed: such as figure 1 As shown, the upper limit Cnt of the number of layers Cnt of each bed is set by the user max =500 and lower limit Cnt min =50, the upper limit T of the total number of pieces T that can be cut for each layer of cloth max =8 and the lower limit T min =0, the upper limit Pb of the quantity Pb ​​of each bed row of samples of each size max =2, the quantity S that needs to be cut for each type of sample i ;Adaptive acceleration factor positive integer parameter γ=100, cognition factor c...

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Abstract

The invention discloses a clipping bed separation method based on speedup-factor adaptive particle swarm optimization. The method comprises the following steps that: S1: setting an initial limiting condition and the parameter of the SAPSO (Speedup-factor Adaptive Particle Swarm Optimization) for clipping bed separation; S2: according to the initial limiting condition set by a user, calculating a possible bed separation amount: calculating the sum of the amounts of sample sheets which need to be clipped, average each-bed cloth laying layer number and average each-layer cloth clipping piece number according to the amount of sample sheets, which need to be clipped, of each model so as to calculate the upper limit and the lower limit of a required bed separation amount; and S3: firstly, searching a bed separation scheme with a small bed number, if the scheme with the small bed number conforms to requirements, stopping searching a situation with a large bed number, and if the bed separation scheme with the small bed number does not conform to the requirements, searching a bed separation scheme with the large bed number. Under a situation of a certain bed separation bed number, the SAPSO is adopted to search the cloth laying layer number. By use of the method, bed separation scheme determining efficiency is improved, material budgets are reduced, and a clipping amount error is reduced.

Description

technical field [0001] The invention belongs to the technical field of industrial numerical control equipment automation, and relates to a method for cutting and dividing beds on a cutting bed. Background technique [0002] China is a country with a large population and the largest garment producer and consumer in the world. In recent years, with the fluctuation of the RMB exchange rate, the cost of hiring workers and producing raw materials for enterprises has become higher and higher, making it more and more difficult for enterprises to survive. Especially in recent years, prices have risen rapidly, resulting in a large labor gap and difficulty in recruiting workers. The clothing industry is a traditional labor-intensive enterprise, and it is even more difficult to survive and develop. Therefore, if an enterprise wants to stand firm in the environment of fierce market competition and rising production cost, it must start from the perspective of reducing production cost a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/04
CPCG06Q10/043G06Q50/04Y02P90/30
Inventor 董辉江丽林刘家林康磊童辉
Owner ZHEJIANG UNIV OF TECH
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