A Distributed Chemical Process Monitoring Method Based on Regularized GCCA Model

A chemical process, distributed technology, applied in the direction of program control, electrical test/monitoring, test/monitoring control system, etc.

Active Publication Date: 2022-03-18
SHANDONG LONGSHENGHE CHEM CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The main technical problem to be solved by the present invention is: for the distributed chemical process monitoring problem, how to simultaneously consider the commonality between variable blocks and the uniqueness of each block when implementing multi-block modeling, and how to apply overlapping and non-overlapping simultaneously variable chunking mode for

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  • A Distributed Chemical Process Monitoring Method Based on Regularized GCCA Model
  • A Distributed Chemical Process Monitoring Method Based on Regularized GCCA Model
  • A Distributed Chemical Process Monitoring Method Based on Regularized GCCA Model

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Embodiment Construction

[0053] The method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific examples of implementation.

[0054] Such as figure 1 As shown, the present invention discloses a distributed chemical process monitoring method based on the regularized GCCA model. The specific implementation process of the method of the present invention will be described below in conjunction with a specific chemical process object.

[0055] The application object is from the chemical production process of Tennessee-Eastman (TE) in the United States. The TE process is an actual process flow of the Eastman chemical production workshop. The schematic diagram of the process is as follows figure 2shown. At present, the TE process has been widely used as a standard experimental platform for process operation status monitoring research due to the complexity of the process. The whole TE process includes 22 measured variables, 12 manipulated vari...

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Abstract

The invention discloses a distributed chemical process monitoring method based on a regularized GCCA model, which is used to solve the problem of distributed chemical process monitoring. The method of the present invention utilizes the involved regularized generalized canonical correlation analysis (GCCA) algorithm to simultaneously consider the commonality between variable blocks and the uniqueness within each block when implementing multi-block modeling, and can be applied to overlapping and non-overlapping variables at the same time Chunking mode. Compared with the traditional method, the regularized GCCA algorithm involved in the method of the present invention takes the common features between the variable sub-blocks into consideration through the square of the typical correlation coefficient, and further uses the least squares regression algorithm to describe the inter-block correlation features. relationship between. In addition, the method of the present invention also considers inter-block correlation features and intra-block features separately, and uses two comprehensive monitoring indicators to implement monitoring separately. Therefore, the method of the present invention is a more superior distributed chemical process operation state monitoring method.

Description

technical field [0001] The invention relates to a data-driven process monitoring method, in particular to a distributed chemical process monitoring method based on a regularized GCCA model. Background technique [0002] The increasingly complex and large-scale development model of the modern chemical industrial production system pays more and more attention to the application of computer technology, advanced instrumentation technology, and artificial intelligence technology in management production, monitoring, scheduling and other issues. Nowadays, modern chemical process objects can store offline and measure massive sampling data online in real time. These data contain potentially useful information that can reflect the operating status of the production process, laying a solid data foundation for monitoring the operating status of the chemical process. In the past ten years, both academia and industry have invested a lot of manpower and material resources in researching d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0262G05B2219/24065
Inventor 张赫葛英辉童楚东
Owner SHANDONG LONGSHENGHE CHEM CO LTD
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