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Method of soft predicting state variables of biofermentation process based on supporting vector machine

A technology of support vector machine and biological fermentation, applied in the interdisciplinary field of biotechnology and information science

Inactive Publication Date: 2005-10-26
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this paper only studies the online soft-sensing problem, and does not involve the wide-range soft forecasting of variables.

Method used

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  • Method of soft predicting state variables of biofermentation process based on supporting vector machine
  • Method of soft predicting state variables of biofermentation process based on supporting vector machine
  • Method of soft predicting state variables of biofermentation process based on supporting vector machine

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Embodiment Construction

[0015] The following implementation example combined with penicillin production forecast and figure 1 The shown implementation flowchart describes in detail the embodiment of the present invention:

[0016] 1. Establishment of dynamic training database

[0017] (1) Generation of input and output vector pairs

[0018] Such as figure 1 , 2 As shown, the off-line sampling and analysis values ​​of the main process variables of a penicillin fermenter batch in an antibiotic factory are penicillin production (P), carbon source consumption (S) and precursor consumption (PAA), which are cumulative and has been dimensionless, t refers to the fermentation time, and the sampling period of the tank batch is T S for 4 hours. figure 2 There are two data windows in , the solid line box is the input data window, and the window width is T D (T D is 40 hours), the dotted box is the output data window (same as the forecast window), and the window width is T P (T P also 40 hours). The i...

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Abstract

A method of soft predicting state variables in biolfermentation process relates to cross domain of biology and informatics technology. This invention uses the merits of regressive technology, provides a method of forecasting the state variable in fermentation process. It establishes a data-base by historic foregone data and the recently known data. We consult to this database, and then work out the most excellent regressive function, at last basing on the forecasting new data, we can complete the forecast. Additionally, before each exercise, we must update the database to obtain the most new data base, when each integrated circle finish, we must update the exercise database off-line, re-get the static exercise database. This invention achieve a high precision and broad range forecast to state variable in the process of fermentation, has a significance to enhancing control level in production.

Description

technical field [0001] The invention relates to a method for forecasting a biological fermentation process, in particular to a method for soft forecasting state variables of a biological fermentation process based on a support vector machine, which belongs to the interdisciplinary field of biotechnology and information science. Background technique [0002] Biological fermentation is an important industrial production process, which provides medicines (antibiotics, genetic engineering recombinant drugs, vaccines, vitamins, etc.), various amino acids (nucleic acids) and other products (alcoholic beverages, soy sauce vinegar, biological health care products). Its typical characteristics are complex internal mechanism, poor repeatability, large production fluctuations, and highly nonlinear and time-varying characteristics. The state variables of biological fermentation, such as product concentration and substrate consumption rate, reflect the state of the process. Online measu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12P1/00
Inventor 袁景淇李运锋
Owner SHANGHAI JIAO TONG UNIV
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