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FSVM-based lysine fermentation process key state variable soft measuring method and system

A fuzzy support vector, lysine fermentation technology, applied in the intersection of biotechnology and information science, can solve problems such as inability to meet real-time control and optimization, long sampling time interval, data lag, etc., to improve timeliness, soft measurement results Precise, low-cost effects

Inactive Publication Date: 2010-06-23
JIANGSU UNIV
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Problems solved by technology

However, in actual production, these parameters are usually obtained by offline sampling analysis. The sampling time interval is long, the data lags and the accuracy is low, which cannot meet the needs of real-time control and optimization.

Method used

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  • FSVM-based lysine fermentation process key state variable soft measuring method and system
  • FSVM-based lysine fermentation process key state variable soft measuring method and system
  • FSVM-based lysine fermentation process key state variable soft measuring method and system

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Experimental program
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Embodiment Construction

[0032] The following implementation examples combined with the prediction of key state variables in the lysine fermentation process and figure 2 The shown implementation flowchart describes in detail the implementation example of the present invention:

[0033] The specification of mechanical stirring fermentation tank is nominal volume 50L, tank body Φ300×650cm, filling coefficient ≤70%; design pressure capacity is 0.3MPa, can withstand negative pressure of 0.1MPa, electric heating power of steam generator is 9KW, and steam production is 12Kg / h, the air filter adopts a high-efficiency air sterilization filter, and the 2-stage filtration efficiency is 99.99%.

[0034] Use the intelligent controller (single chip microcomputer) to realize the automatic control of the basic control loop, and filter and calculate the fermentation broth volume v, air flow q, CO 2 Release rate μ, dissolved oxygen DO and pH of fermentation broth.

[0035] Read the above-mentioned process data, an...

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Abstract

Disclosed are a FSVM-based lysine fermentation process key state variable soft measuring method and a system; the method depends on a hardware platform, a measurement instrument, a computer system and an intelligent controller for software computation, the software obtains real-time process data for soft measurement through the measurement instrument. The method firstly analyze the process mechanism of the lysine fermentation process, selects proper auxiliary variables to create a training sample database according to the historical batch fermentation data, subsequently projects the training samples to a high dimensional nuclear space to calculate the fuzzy degree of membership corresponding to each sample point in the nuclear space; the training samples after fuzzification are trained by FSVM to build a soft measurement module; finally, the predication of key state variables is realized according to the latest input vector of the batch fermentation under predication. The invention realizes the online real-time predication of key state variable of lysine fermentation process, and has great significance on realizing the optimized control and operation of the lysine fermentation process.

Description

technical field [0001] The invention belongs to the interdisciplinary field of biotechnology and information science, and mainly relates to a soft measurement method for three key state variables that are difficult to be measured online and in real time by physical sensors in the lysine fermentation process - mycelium concentration, total sugar concentration and product concentration and system construction methods. Background technique [0002] Biological fermentation is an important industrial production process, which provides medicines (antibiotics, genetic engineering heavy drugs, vaccines, vitamins, etc.), various amino acids (nucleic acids) and other products (alcoholic beverages, soy sauce vinegar, biological health products, etc.). Its typical characteristics are complex internal mechanism, poor repeatability, large production fluctuations, and highly nonlinear and time-varying characteristics; at the same time, many key parameters of the fermentation process (such...

Claims

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Application Information

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IPC IPC(8): C12Q1/06G01N33/00G06F19/00
Inventor 孙玉坤王博嵇小辅
Owner JIANGSU UNIV
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