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Adjustment of polymerization process parameters based on viscosity change

A technology of aggregation process and parameter adjustment, applied in data processing applications, instruments, calculation models, etc., can solve the problems of small fluctuation of prediction results, redundant nodes in the hidden layer, and hindering applications.

Active Publication Date: 2019-03-15
DONGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the method of randomly generating initialization parameters makes the traditional extreme learning machine algorithm model inevitably bring the shortcomings of hidden layer node redundancy and small fluctuation of prediction results, which hinders its application in high-precision engineering and high-index experiments

Method used

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  • Adjustment of polymerization process parameters based on viscosity change
  • Adjustment of polymerization process parameters based on viscosity change
  • Adjustment of polymerization process parameters based on viscosity change

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Embodiment Construction

[0080] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0081] A kind of polymerization process parameter adjustment method based on viscosity change, its steps are as follows:

[0082] (1) Obtain the past continuous time period T a within and past consecutive time periods T c melt viscosity data within the past consecutive time period T a and the past consecutive time period T c The length is M, M is 5000min, the melt viscosity is the intrinsic viscosity, and the unit is dl / g; ...

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Abstract

The invention relates to a method for adjusting polymerization process parameters based on viscosity change, after the melt viscosity data in the past continuous time period Ta is converted into a time series I, the melt viscosity data is subjected to fuzzy information granulation processing to obtain three feature vectors Low, R and Up, three eigenvectors are then input to the improved ELM to output values related to the fluctuation range of melt viscosity data in the future continuous time period Tb, After comparing the fluctuation range with the reference range, the parameters of polymerization process are adjusted according to the comparison results. The improved ELM is the ELM after optimizing the input layer weights and hidden layer thresholds by particle swarm optimization algorithm, and the fitness function of particle swarm optimization algorithm is the mean square error of training samples. The invention organically combines the fuzzy information granulation, the limit learning machine and the particle swarm algorithm, the sample dimension is small, the real-time performance is good, and the prediction precision is high. At the same time, the predicted results can be usedto adjust the process parameters.

Description

technical field [0001] The invention belongs to the field of process optimization, and relates to a method for adjusting polymerization process parameters based on viscosity change, in particular to a method for adjusting polymerization process parameters based on fuzzy information granulation and improved ELM predicting melt intrinsic viscosity. Background technique [0002] Polyester fiber not only has high elasticity and strength, but also has good chemical stability, wear resistance, stretchability and wrinkle resistance, so it has a very wide range of applications in the fields of civilian textiles and industrial fibers. The polymerization process is the main body and leader of polyester fiber production, and the level of the polymerization process will directly affect the quantity and quality of the products. Among them, the intrinsic viscosity of the melt is an indicator that directly reflects the level of polymerization. Therefore, the prediction of intrinsic viscos...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06N3/00
CPCG06N3/006G06Q10/04G06Q10/06395
Inventor 郝矿荣殷璋琦陈磊蔡欣唐雪嵩
Owner DONGHUA UNIV
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