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Intelligent parameter adjustment method and system based on industrial big data

A big data and intelligent technology, applied in the field of big data, can solve problems such as the inability to realize model data selection, and achieve the effect of improving product quality and reducing production costs

Inactive Publication Date: 2020-11-17
上海微亿智造科技有限公司 +1
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Problems solved by technology

However, the above scheme cannot realize the selection of model data

Method used

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  • Intelligent parameter adjustment method and system based on industrial big data
  • Intelligent parameter adjustment method and system based on industrial big data
  • Intelligent parameter adjustment method and system based on industrial big data

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Embodiment Construction

[0043] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0044] Based on industrial big data, the present invention selects the best model through automated model training, and solves the best set value of industrial parameters through an optimization method. Through the continuous collection of data, the model is continuously updated to form a closed loop of continuous optimization of process parameters.

[0045] Specifically, an intelligent parameter adjustment method based on industrial big data provided according to the present invention includes:

[004...

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Abstract

The invention provides an intelligent parameter adjustment method and system based on industrial big data. The method comprises the following steps: a data cleaning step: cleaning data; a data standardization step: standardizing the cleaned data; a model selection step: selecting a model, and splitting the model according to a set proportion; a model training step: training a model through standardized data; a test selection step: testing the trained model, and selecting an optimal model according to a test result; and a solving step: calculating an optimal solution of the model. According tothe invention, through a big data management technology and an artificial intelligence learning algorithm, the problem of automatic adjustment and optimization of industrial parameters is solved, theproduct quality is improved, and the production cost is reduced; through a series of operations such as missing data cleaning, data standardization, model training and result testing, an optimal datamodel is selected through comparison, and an optimal set value of industrial parameters is solved through an optimization method; through continuous acquisition of data, the model is continuously updated, and a closed loop for continuously optimizing process parameters is formed.

Description

technical field [0001] The present invention relates to the field of big data, in particular to an intelligent parameter adjustment method and system based on industrial big data. Background technique [0002] The existing parameter adjustment methods require manual parameter adjustment, and can only adjust parameters for a single model; the method of the present invention can automatically adjust parameters, automatically compare the differences between different models, and automatically select the optimal model. [0003] The invention patent with the application number CN201810528401.2 discloses a neural network model encryption protection system and method involving random encryption of data, including an encryption module. The data division module in the encryption module converts the original input data into a two-dimensional structure, and It is divided into multiple sub-blocks to be processed. The password generation module generates passwords with the same structure...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06N3/08
CPCG06N3/08G06F16/215
Inventor 杨本法
Owner 上海微亿智造科技有限公司
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