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Double-layer data model-driven plant-level chemical process monitoring method

A chemical process and data model technology, applied in the direction of comprehensive factory control, comprehensive factory control, electrical program control, etc., can solve problems such as affecting the performance of factory-level process monitoring, ignoring the relationship between sub-modules, etc. The effect of improving monitoring performance

Inactive Publication Date: 2015-02-11
ZHEJIANG UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

However, this type of method often ignores the relationship between sub-modules, and this relationship may affect the monitoring performance of the entire plant-level process

Method used

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  • Double-layer data model-driven plant-level chemical process monitoring method
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  • Double-layer data model-driven plant-level chemical process monitoring method

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Embodiment Construction

[0018] Aiming at the monitoring problem of factory-level chemical process, the present invention first collects the data of the process by using the distributed control system, performs necessary preprocessing and normalization on it, and then divides the whole process data set into different sub-modules. For the data set corresponding to each sub-module, a principal component analysis model is established respectively, and the control limits of the monitoring statistics are established. After obtaining the principal component information corresponding to each sub-module data set, recombine it into a new data set, and then use a single-class support vector machine to model it. When monitoring new process data, the data is also divided into different sub-modules, and the mean value and standard deviation of the modeling data of each sub-module are used to normalize them. After obtaining the standard data, each sub-module is used The principal component analysis model of the sub...

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Abstract

The invention discloses a double-layer data model-driven plant-level chemical process monitoring method. Relationships between sub-modules are modeled by constructing a double-layer data statistical analysis model on the basis of blocking modeling, so that a plant-level process is globally monitored. Compared with the conventional other plant-level process monitoring methods, the method has the advantages that each unit of the process can be monitored in each sub-module, relationship information between the sub-modules of the plant-level process can be effectively combined, and the whole plant-level process is globally monitored by utilizing a second-layer data model, so that the monitoring performance of the plant-level chemical process is greatly improved, and the industrial automation of the plant-level process can be favorably expanded and implemented.

Description

technical field [0001] The invention belongs to the field of safety monitoring and quality control of chemical industry production process, and in particular relates to a plant-level chemical process monitoring method driven by a double-layer data model. Background technique [0002] With the increasing production scale of modern chemical process, a new plant-level process has attracted more and more attention. The modeling, monitoring and control of plant-level processes has also received extensive attention from academia and industry. A typical plant-level process usually includes multiple operating units, multiple process devices, and even multiple operating workshops. For such a complex large-scale chemical process, it will be very difficult to use traditional monitoring methods based on mechanism models. In contrast, due to the large amount of data accumulated in the process, data-based modeling and monitoring methods are more suitable for complex and large-scale plan...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418
CPCY02P90/02
Inventor 葛志强宋执环
Owner ZHEJIANG UNIV
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