Mobile phone assembly process knowledge framework model construction method based on transfer learning

An assembly process and framework model technology, which is applied in the field of mobile phone assembly process knowledge framework model construction based on transfer learning

Active Publication Date: 2020-05-01
GUANGDONG UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to propose a mobile phone assembly process knowledge frame model construction method based on transfer learning, which can solve the problems existing in the prior art

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  • Mobile phone assembly process knowledge framework model construction method based on transfer learning
  • Mobile phone assembly process knowledge framework model construction method based on transfer learning
  • Mobile phone assembly process knowledge framework model construction method based on transfer learning

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Embodiment Construction

[0058] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.

[0059] A method for constructing a mobile phone assembly process knowledge framework model based on migration learning, comprising the following steps:

[0060] Step A1: Collect the production data of each old mobile phone assembly process produced before, the production data includes the name of each step of the assembly process (such as: motherboard paste Dome chip, soldering mic, soldering speaker, etc.) and each step of assembly The technical requirements parameters of the process (such as: the number and position of Dome chips, the number and position of soldering mics, the number and accuracy of solder joints, etc.), and some required parameters that are expected to be predicted by the model Process result parameters of the assembly process (such as: cost, time, repair rate, etc. required for ...

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Abstract

The invention discloses a mobile phone assembly process knowledge framework model construction method based on transfer learning. The method comprises the following steps: A1, collecting production data of each old mobile phone assembly process produced before; a2, calculating the topological structure similarity between the assembly technological process of each old mobile phone and the assemblytechnological process of each new mobile phone, and selecting an assembly data set Xk meeting the similarity requirement; a3, taking the process requirement parameters, collected in the step A1, of the mobile phone assembling process as input, and performing feature extraction on production data through a depth sparse auto-encoder; according to the method, a large amount of labor cost can be saved, the design period of the mobile phone can be shortened, the problem of outdated data can be solved by utilizing transfer learning characteristics, the data of the previous old style mobile phone assembling process can be well utilized, and a large amount of data is provided for model training; the accuracy of a model prediction result can be improved.

Description

technical field [0001] The invention relates to the technical field of mobile phone assembly transfer learning, in particular to a method for constructing a mobile phone assembly process knowledge frame model based on transfer learning. Background technique [0002] With the improvement of living standards, the speed of mobile phone replacement is getting faster and faster, and the styles are changing frequently. Every time a new mobile phone is designed, the original mobile phone assembly line must be redesigned, and the cost and other parameters in the mobile phone assembly process must also be recalculated. Moreover, there are many assembly processes for mobile phones, some of which are completed by machines, while the other can only be completed manually. This brings difficulties to the estimation of some parameters such as cost in the mobile phone assembly process. On the one hand, it consumes a lot of manpower, and on the other hand, it is easy to cause inaccurate est...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06N3/04G06N20/00
CPCG06Q10/06316G06Q10/0633G06Q50/04G06N20/00G06N3/045Y02P90/30
Inventor 冷杰武阮国磊刘强张虎苏倩怡
Owner GUANGDONG UNIV OF TECH
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