Multi-model dynamic soft measuring modeling method

A modeling method and multi-model technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as poor adaptability, complex and changeable working conditions, and poor matching of process characteristics

Inactive Publication Date: 2013-12-11
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, in recent decades, with the advancement of science and technology, modern industrial production has higher and higher requirements for the production process, the amount of data has increased sharply, the data types have become more and more complex, and the working conditions are complex and changeable. On the other hand, industrial processes are generally dynamic, and static soft-sensing methods usually can

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  • Multi-model dynamic soft measuring modeling method
  • Multi-model dynamic soft measuring modeling method
  • Multi-model dynamic soft measuring modeling method

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Embodiment Construction

[0050] The technical solutions in the embodiments of the present invention will be clearly and completely described and discussed below in conjunction with the accompanying drawings of the present invention. Obviously, what is described here is only a part of the examples of the present invention, not all examples. Based on the present invention All other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0051] In order to facilitate the understanding of the embodiments of the present invention, specific embodiments will be taken as examples for further explanation below in conjunction with the accompanying drawings, and each embodiment does not constitute a limitation to the embodiments of the present invention.

[0052] First, using the focusing advantage of evidence synthesis rules to deal with uncertain information, multiple evidence probability distribution functions are establ...

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Abstract

A multi-model dynamic soft measuring modeling method comprises the steps of establishing multiple sub models by utilizing a self-adaptive fuzzy core clustering method and a least square support vector machine; then taking a probability distribution function constructed by a proof synthesis rule as a weight factor to perform fusing on sub model output to obtain the output of multiple models; finally performing dynamic estimation on predicted errors of the multiple models by combining an autoregression moving average model.

Description

technical field [0001] The invention relates to a soft-sensing method for esterification rate in the polyester industrial production process, in particular to a multi-model dynamic soft-sensing method based on evidence theory synthesis rules and an autoregressive sliding average model. Background technique [0002] figure 1 Shown is the basic process of esterification reaction, esterification reaction as a key link in the entire polyester production process, plays a decisive role in stabilizing polyester production. The key quality index of the outlet of the first esterification tank in the reaction device - the esterification rate directly affects the progress of subsequent reactions and the crystallization performance of polyester products, so the entire production process is often controlled by controlling the esterification rate. However, different polycondensation processes have different requirements on the esterification rate, so operating conditions such as reaction...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 王昕唐苦
Owner SHANGHAI JIAO TONG UNIV
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