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

A technology of assembly process and frame model, applied in the field of mobile phone assembly process knowledge frame model construction based on transfer learning

Active Publication Date: 2020-07-28
GUANGDONG UNIV OF TECH
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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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  • A mobile phone assembly process knowledge framework model construction method based on transfer learning
  • A mobile phone assembly process knowledge framework model construction method based on transfer learning
  • A 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

A method for constructing a mobile phone assembly process knowledge frame model based on migration learning, comprising the following steps: Step A1: Collect production data of each old mobile phone assembly process produced before; Step A2: Calculate the assembly process of each old mobile phone The topological structure similarity between the technological process and the new mobile phone assembly process, select the assembly data set X that meets the similarity requirements k ; Step A3: The technological requirement parameters of the mobile phone assembly process collected in step A1 are used as input, and feature extraction is performed on the production data through a deep sparse autoencoder; the present invention can save a lot of labor costs and can also shorten the design of mobile phones cycle, you can use the characteristics of transfer learning to solve the problem of outdated data, and you can make good use of the data in the assembly process of old mobile phones, providing a large amount of data for model training; it can improve the accuracy of model prediction results .

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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Patent Type & Authority Patents(China)
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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