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Industrial rubber compound Mooney viscosity soft measurement method based on integrated immediate learning

A rubber Mooney and soft measurement technology, applied in the direction of integrated learning, instrumentation, calculation, etc., can solve problems such as Mooney viscosity is difficult to detect online, and achieve the effect of improving prediction accuracy

Active Publication Date: 2019-09-20
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0004] The main technical problem to be solved by the present invention is: the present invention aims at the deficiencies of the prior art, and provides a kind of soft measurement method (MP-EJITGPR) of industrial compounded rubber Mooney viscosity based on integrated real-time learning, to solve the problem in the compounded rubber process. Problems of Difficult Online Detection of Mooney Viscosity

Method used

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  • Industrial rubber compound Mooney viscosity soft measurement method based on integrated immediate learning
  • Industrial rubber compound Mooney viscosity soft measurement method based on integrated immediate learning
  • Industrial rubber compound Mooney viscosity soft measurement method based on integrated immediate learning

Examples

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Embodiment 2

[0073] Example 2: The validity and accuracy of the MP-EJITGPR method for predicting Mooney viscosity are illustrated below in conjunction with a specific industrial rubber mixing process example of a tire manufacturer in East China. The production process of industrial rubber mixing is a typical multi-period, non-linear batch process. Various compounding agents are added to the raw meal according to the technical formula, and complex chemical reactions are carried out in the mixer to prepare synthetic rubber. The whole process is controlled by PLC. The controller completes the control of the rubber compound production process. In the reaction process, Mooney viscosity is a very important key indicator. In order to control product quality and production efficiency, Mooney viscosity is predicted online by building a soft sensor model.

[0074] As shown in Table 1, the 5 auxiliary variables selected for the key quality variable Mooney viscosity are given, and the process variable...

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Abstract

The invention relates to an industrial rubber compound Mooney viscosity soft measurement method based on integrated immediate learning. The method is used for online prediction of Mooney viscosity in the industrial rubber compound process. According to the method, Gaussian process regression (GPR) is used as a local modeling technology; in combination with similarity disturbance and a multi-modal disturbance strategy of an input sample, the diversity of instant learning is excited; secondly, an instant learning base model meeting diversity and accuracy is constructed on the basis of evolutionary multi-objective optimization, and finally, fusion of the instant learning base model is realized and a final Mooney viscosity predicted value is obtained by introducing an adaptive integration strategy of a limited mixing mechanism. According to the method, the problems that the cost is increased and the product quality is difficult to improve due to acquisition lag of the Mooney viscosity value in the rubber mixing process are solved, and high-precision online real-time acquisition of the Mooney viscosity is realized.

Description

technical field [0001] The invention relates to the field of batch process soft measurement modeling and application, in particular to a method for soft measurement of Mooney viscosity of industrial mixed rubber based on integrated real-time learning. Background technique [0002] The rubber and tire industry plays an important role in the national economy, and one of the key links is rubber compounding. Rubber compounding is a typical batch industrial process, and online detection of key parameters is a necessary condition for process control and optimization, as well as a key measure to ensure product quality and safe operation of the production process. In the rubber mixing, various compounding agents are added to the raw meal according to the technical formula, and complex chemical reactions are carried out in the mixer to prepare synthetic rubber. The whole process is controlled by the PLC controller to complete the production process of the mixed rubber. In order to o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N20/20
CPCG06N20/20G06F2111/06G06F30/20
Inventor 金怀平李建刚
Owner KUNMING UNIV OF SCI & TECH
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