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Online soft measuring method of glutamate product concentration based on multi-input wiener model

A technology of Wiener model and glutamic acid, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve not many problems, and achieve the effect of online estimation

Active Publication Date: 2013-10-09
扬州市冠科科技有限公司
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Problems solved by technology

[0008] 4) At present, for the multi-input Wiener model, there are not many applications using gradient iterative identification algorithm for modeling, especially in the field of biological reaction process modeling.

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  • Online soft measuring method of glutamate product concentration based on multi-input wiener model

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Embodiment Construction

[0020] Aiming at the problem of product concentration prediction in the glutamic acid production process, the present invention establishes a relationship model between the key variables in the glutamic acid industrial production process and the product concentration by using a multi-input Wiener model, and uses a gradient iterative identification method to determine Model parameters for online soft measurements of product concentrations in this process.

[0021] The present invention is based on the multi-input Wiener model-based on-line detection method for the product concentration of glutamic acid production process, and its main steps are respectively as follows:

[0022] The first step is to collect the data of each key variable in the glutamic acid production process through the distributed control system and the real-time database system: U={u i (k)}, i=1,2,3. Among them, k is the number of samples, u i (k) is the key variable in the glutamic acid production process....

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Abstract

The invention discloses an online soft measuring method of glutamate product concentration based on a multi-input wiener model. The method comprises the following steps: firstly, selecting key variables affecting the product concentration change and capable of being measured on line as input variables and establishing a soft measuring model based on the multi-input wiener model by utilizing the product concentration values obtained by offline analysis as output variables; and reasonably selecting the parameters of the multi-input wiener model, establishing an effective nonlinear relationship between the input variables and the output variables, determining the model parameters through a gradient iteration identification method, and evaluating the product concentration which is difficult to measure through variables liable to measure on line in the glutamate production process. The method can be used for effectively improving the prediction precision of the product concentration in the glutamate production process, guiding the production and improving the product quality.

Description

Technical field: [0001] The invention belongs to the field of soft-sensing modeling and application of biochemical production process, in particular to a soft-sensing modeling and on-line detection method of glutamic acid production process product concentration based on multi-input Wiener model. Background technique: [0002] As an important product in the field of industrial fermentation, glutamic acid has a very wide range of applications. Glutamic acid fermentation process is a complex biochemical process with high nonlinearity, poor repeatability and slow time variation. In the actual production process, the concentration of glutamic acid is an important indicator in the fermentation process, but due to the limitations of sensor technology, the measurement of this indicator is very difficult, and the current common method is to obtain it through offline measurement in the laboratory. Compared with the online real-time measurement method, the offline measurement of the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00
Inventor 潘丰周林成李向丽
Owner 扬州市冠科科技有限公司
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