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Dynamic soft measurement method and system based on slow characteristic regression

A feature regression and soft measurement technology, applied in special data processing applications, instruments, electrical digital data processing, etc.

Active Publication Date: 2015-04-22
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is how to solve the problem of online real-time measurement of important difficult-to-measure variables in the production process

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  • Dynamic soft measurement method and system based on slow characteristic regression
  • Dynamic soft measurement method and system based on slow characteristic regression
  • Dynamic soft measurement method and system based on slow characteristic regression

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Embodiment Construction

[0129] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0130] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be unders...

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Abstract

The invention relates to a dynamic soft measurement method and system based on slow characteristic regression. The method includes the steps of reading a slow characteristic model and a linear regression model, reading in online measurement values of operating variables, inputting the online measurement values into the slow characteristic model, and obtaining an online real-time estimated value of a slow characteristic vector s(t); inputting a vector s<1:M>(t) composed of the first M slow characteristics into the linear regression model, and obtaining an instant estimated value (please see the specification) of the leading variable y(t) difficult to measure; writing in and displaying the estimated value (please see the specification) of the y(t). By means of the dynamic soft measurement method and system in the technical scheme, the dynamic characteristics of a process can be effectively mined, the estimation accuracy is higher, the more excellent control performance is achieved when closed-loop feedback control is implemented, the prediction accuracy of a current model can be visually and effectively judged according to the slow change degrees of the hidden characteristics when field implementation is carried out, and the information in large-scale process data can be effectively used.

Description

technical field [0001] The invention relates to the technical field of dynamic analysis, in particular to a dynamic soft sensor method based on slow feature regression and a dynamic soft sensor system based on slow feature regression. Background technique [0002] In industrial processes, the quality of products is often related to some important indicators, such as the dry point of diesel, the melt index of polypropylene, and the pH value in chemical reactors. Controlling these key indicators to preset values ​​usually becomes the goal in production. However, these indicators usually cannot be measured online, and can only be obtained through several hours of laboratory analysis and testing, and the laboratory test data is too delayed to be used as a feedback signal for the control loop. High-quality control requires can not be met; in addition, the online analysis instruments of some indicators are very expensive, and the later maintenance costs are very high. Based on t...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 黄德先尚超杨帆高莘青
Owner TSINGHUA UNIV
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