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Soft measurement modeling method based on monitored linear dynamic system model

A technology of dynamic system model and modeling method, applied in the direction of complex mathematical operations, etc., can solve the problems that affect the accuracy of soft sensor modeling and do not consider it, and achieve the effect of improving monitoring effect, accurate prediction of model, and precise model

Inactive Publication Date: 2016-08-17
ZHEJIANG UNIV
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Problems solved by technology

Failure to consider these factors will greatly affect the accuracy of soft sensor modeling and the accuracy of model predictions

Method used

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  • Soft measurement modeling method based on monitored linear dynamic system model
  • Soft measurement modeling method based on monitored linear dynamic system model
  • Soft measurement modeling method based on monitored linear dynamic system model

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Embodiment Construction

[0017] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0018] The invention provides a soft sensor modeling method based on a supervised linear dynamic system model. The method aims at the soft sensor modeling problem of the industrial process. Firstly, the process variable and Quality variable data, and then establish a supervised linear dynamic system model, and store all modeling data and model parameters in the database for future use. When predicting online quality variable data, first use the forward filtering method to calculate the corresponding hidden variable data, and then predict the quality variable data that is difficult to measure directly according to the model parameters.

[0019] The main steps of the technical solution adopted in the present invention are as follows:

[0020] The first step: use the distributed control system and offline detection method to collect the data of...

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Abstract

The invention discloses a soft measurement modeling method based on a monitored linear dynamic system model. The method achieves the soft measurement modeling of the dynamic process of the industrial production in a noise environment, and the prediction of the quality variable which is hard to predict directly. Based on the monitored linear dynamic system model, the method builds an effective soft measurement model, and overcomes the process dynamic nature and the data collection randomness in the industrial production. Compared with other methods in the prior art, the model built by the method is more accurate, the prediction of the model is more accurate, so the product quality is more stable. Besides, the dependency of the soft measurement modeling on the process knowledge is reduced, and the automatic implementation of the industrial process is benefited.

Description

technical field [0001] The invention belongs to the field of soft sensor modeling and application in industrial production process, in particular to a soft sensor modeling method based on a supervised linear dynamic system model. Background technique [0002] With the development of science and technology, the industrial production process is becoming larger and more complex. In modern industrial processes, there are many important variables that are difficult or even impossible to measure directly with sensors, such as the reaction rate of the product, the composition content of the product, and so on. However, these important variables play an extremely important role in ensuring product quality and improving production efficiency, and are parameters that must be strictly monitored and controlled in the industrial production process. The variables that can be directly measured or easily measured by the sensor are called process variables, and the important variables that ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 葛志强陈新如
Owner ZHEJIANG UNIV
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