Soft measurement method of quality index data in rubber mixing process of internal mixer

Abstract

The invention discloses a soft measurement method of quality index data in the rubber mixing process of an internal mixer. The method is characterized by establishing a mixing process off-line model based on the historical data of the rubber mixing process, then acquiring the production data and the quality index data of the current mixing process as the current samples and projecting the currentsamples to high dimensional feature space, computing the linear relationship between the samples in the high dimensional feature space by the Kernel function, correcting the parameters and the samples of the model according to the linear similarity of the samples, eliminating the data samples with least contribution when the sample number in the model exceeds the set value, updating the mixing processing model on line and outputting the predicated value of the quality index of the mixed rubber in real time when the current production data are input, thus realizing soft measurement in the rubber mixing process. The method realizes effective online tracking of the rubber mixing process, is low in computation complexity, good in stability and accurate and reliable in measurement and has quite important practical value in pre-detection and system optimization control in the rubber mixing production process.

Description

technical field [0001] The invention belongs to the field of industrial control, relates to detection and automatic control technology in the field of rubber manufacturing, and in particular to an online real-time soft measurement method for quality index data in the rubber mixing process of an internal mixer. Background technique [0002] Rubber mixing is the first main process of rubber processing, which has a great influence on the processing performance of subsequent processes and the quality of finished products. Therefore, the control of the mixing process plays an important role in improving the overall quality of rubber products. The rubber mixing process is a typical fast batch process, which is generally carried out in a transitional state without a stable working point. Its dynamic and nonlinear characteristics are more significant than those of a continuous process. Many important variables are usually unable to be measured online, and there is no accurate Mechan...

AI Technical Summary

Problems solved by technology

However, although the soft sensor modeling method of mixing process based on support vector machine has been proposed, the traditional offline support vector machine method combines the production process data obtained online with historical data, and then remodels it, which This method has a very high computational complexity and cannot effectively track the time-varying characteristics of the rubber mixing process online, so there is still a lack of feasible, effective and accurate soft-sensing modeling methods for the mixing process

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