Industrial process soft measurement method based on xgboost model

An industrial process and soft measurement technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as great influence on product quality, inability to quickly obtain accuracy, and difficult direct measurement of target variables, etc., to achieve high Accuracy, good interpretability, strong robustness effect

Inactive Publication Date: 2018-10-12
ZHEJIANG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the target variable is not easy to measure directly in the complex production process
There are many target variables that have a great impact on subsequent process operations and product quality. The traditional nonlinear soft sensor model is not ideal for solving complex variable relationships, and usually cannot quickly obtain accurate, robust and interpretable models.

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  • Industrial process soft measurement method based on xgboost model
  • Industrial process soft measurement method based on xgboost model
  • Industrial process soft measurement method based on xgboost model

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Embodiment Construction

[0019] The present invention will be described in detail below according to the accompanying drawings and preferred embodiments, and the purpose and effect of the present invention will become clearer. The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0020] The invention aims at the problem that the key quality variables are not easy to obtain in the industrial production process, establishes the corresponding relationship between the auxiliary variables and the target variables based on xgboost, and is especially suitable for the soft measurement of the complex production process. Firstly, the auxiliary variables and target variable values ​​collected by the relevant sensors in the normal working state are collected, and the data are independently ...

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Abstract

The invention discloses an industrial process soft measurement method based on an xgboost model. The method firstly performs independent re-sampling on historical data, obtains a training sample set and a verification data set respectively after preprocessing, establishes an xgboost model by using training samples, and then selects the best model parameters by cross validation to determine the soft-measurement model for the target variable. Compared with other nonlinear models, the xgboost model may greatly improve the accuracy and speed of soft measurement, and better fit the variable relationship in complex production processes.

Description

technical field [0001] The invention belongs to the field of industrial process control, and in particular relates to an industrial process soft-sensing method based on an xgboost model. Background technique [0002] In recent years, with the rapid development of information technology, industrial processes such as metallurgy, chemical production and other industries are showing a trend of higher automation control. Soft sensor technology originated in the 1970s. It was developed in order to solve some important and key process variables in the production process that are not easy to measure, or because the corresponding sensors are expensive and complicated to install and maintain. Soft measurement technology integrates computer science and technology into automation control theory and actual production process, by selecting some other easy-to-measure variables (also called auxiliary variables), and based on these easy-to-measure variables, it is difficult to measure or tem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06K9/62G06F17/30
CPCG06F30/20G06F18/214
Inventor 葛志强宋博
Owner ZHEJIANG UNIV
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