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SMT production line detection threshold setting method based on particle swarm optimization algorithm

A technology of particle swarm optimization and threshold setting, which is applied in the direction of structured data retrieval, calculation, calculation model, etc., can solve the problems of low product qualification rate and unreasonable threshold setting of SMT production line detection, so as to improve the product qualification rate Effect

Active Publication Date: 2019-12-03
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and propose a method for setting the detection threshold of the SMT production line based on the particle swarm optimization algorithm, which is used to solve the existing problems in the prior art due to the detection threshold setting of the SMT production line. Technical problems with low product qualification rate caused by unreasonable regulations

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  • SMT production line detection threshold setting method based on particle swarm optimization algorithm
  • SMT production line detection threshold setting method based on particle swarm optimization algorithm
  • SMT production line detection threshold setting method based on particle swarm optimization algorithm

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[0033] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] refer to figure 1 , the present invention comprises the following steps:

[0035] Step 1) Get the associated data table:

[0036]Obtain the solder paste amount data table that records the detection results of the SPI solder paste detector during the production process of the SMT production line. The field names included in the table are: PCB number, pad number, Component_id, vol, testresult, and Classification, and record AOI automatic optics The solder paste welding result data table of the detector test results. The field names included in this table are: PCB number, pad number, Component_id and Alarm, and the data table for recording manual repair defect types. The field names included in this table are: PCB number, pad number, Component_id, and Reason_Name, and the data in the three data tables with the same public field ...

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Abstract

The invention provides an SMT production line detection threshold setting method based on a particle swarm optimization algorithm. The method is used for solving the technical problem that in the prior art, the product percent of pass is low due to the fact that a detection threshold of an SMT production line is set unreasonably, and comprises the implementation steps that an associated data tableis obtained, then a threshold setting data table is obtained, a set threshold is calculated through a particle swarm optimization algorithm, and finally an optimal threshold is obtained. According tothe invention, the production data of the SMT production line is utilized; the detection qualification rate of the SPI solder paste detector on the SMT production line is used for calculating the individual fitness in the particle swarm optimization algorithm; through iteration of the particle swarm optimization algorithm, the detection qualified rate of the SPI solder paste detector can be improved through the obtained multiple groups of detection threshold values, so that the product qualified rate of an SMT production line is improved, and the risk that the obtained multiple groups of detection threshold values do not meet the requirements of a production process is reduced.

Description

technical field [0001] The invention belongs to the technical field of industrial big data, and relates to a method for setting a detection threshold of an SMT production line, in particular to a method for setting a detection threshold of an SMT production line based on a particle swarm optimization algorithm. Background technique [0002] The product qualification rate of the surface mount technology SMT production line is comprehensively affected by various links. Solder paste printing is the first process of the SMT production line process. The solder paste printing effect of this process is mainly affected by machine parameters such as scraper pressure, scraper speed, table separation speed, solder paste viscosity, and stencil cleaning. These machines The setting of parameters mainly depends on the worker experience of SMT craftsmen. The SPI solder paste detector can judge whether the quality of the printed solder paste is up to standard by detecting whether the volume...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/04G06F16/22G06N3/00
CPCG06Q10/06395G06Q50/04G06N3/006G06F16/2282Y02P90/30
Inventor 常建涛罗才文孔宪光王佩
Owner XIDIAN UNIV
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