Probabilistic principal component regression model-based method for soft sensing of butane content of debutanizer

A technology of butane and principal element regression in a butane tower is applied in the field of soft sensing modeling and on-line detection of butane content in a butane tower, which can solve the problem of not well considering process data noise information, model failure performance, degradation And other issues

Inactive Publication Date: 2013-11-13
ZHEJIANG UNIV
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Problems solved by technology

Principal component regression analysis is a widely used soft sensor modeling method. However, because the noise information of the process data is not well considered in the modeling process, the model fails or fails in some actual soft sensor processes. Performance drop

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  • Probabilistic principal component regression model-based method for soft sensing of butane content of debutanizer
  • Probabilistic principal component regression model-based method for soft sensing of butane content of debutanizer
  • Probabilistic principal component regression model-based method for soft sensing of butane content of debutanizer

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Embodiment Construction

[0014] Aiming at the problem of detecting the butane content in the debutanizer, the invention uses variables that are easy to measure in the process and uses a probability principal component regression analysis model to perform on-line soft measurement of the butane content in the process.

[0015] The main steps of the technical solution adopted in the present invention are respectively as follows:

[0016] Step 1: Collect the data of each process variable in debutanizer through distributed control system and real-time database system: X={x i ∈R m} i=1,2,…,n . Among them, n is the number of samples, and m is the number of process variables. Store these data in the historical database respectively, and select some data as samples for modeling;

[0017] Step 2: Obtain the butane content value corresponding to the sample used for modeling in the historical database through on-site extraction and offline laboratory analysis, and use it as the output y∈R of the soft sensor m...

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Abstract

The invention discloses a soft sensing method based on a probabilistic principal component regression model for online detection of butane content of a debutanizer. Principal component regression model is a common modeling approach for soft sensing. However, as noise information of process data is not taken into consideration well, the principal component regression model fails in many real processes. The method introduces a probabilistic modeling approach which converts the conventional principal component regression model into a probabilistic form, which is a soft-sensing model based on probabilistic principal component regression. Compared to the conventional principal component regression model, the probabilistic principal component regression model allows modeling on the process data and the noise information at the same time and provides more complete data information, so that the soft sensing results are more reliable.

Description

technical field [0001] The invention belongs to the field of soft sensor modeling and application in the chemical production process, and in particular relates to a soft sensor modeling and online detection method for butane content in a debutanizer based on a probability principal component regression model. Background technique [0002] In the debutanizer, how to get the butane content online is very important for the control of the debutanizer, which directly affects the operation performance of the whole process and the quality index of the product. However, for the measurement of butane content, there is currently a lack of direct measurement methods, and indirect soft measurement methods are often needed. That is, other easily measurable variables in the process are used to estimate the butane content in real time. Principal component regression analysis is a widely used soft sensor modeling method. However, because the noise information of the process data is not wel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00
Inventor 葛志强宋执环
Owner ZHEJIANG UNIV
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