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Straw fermentation fuel ethanol production process key state variable soft measuring method based on fuzzy support vector machine

A fuzzy support vector and key state technology, applied in the interdisciplinary field of biotechnology and information science, can solve problems such as long sampling intervals, difficulty in satisfying real-time control and optimization, and data lag

Inactive Publication Date: 2016-10-26
JIANGSU UNIV
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AI Technical Summary

Problems solved by technology

However, in the actual fuel ethanol production process, these state variables are usually obtained by offline sampling and analysis. The sampling time interval is long, the data lags, and it is easy to infect bacteria. It is difficult to meet the needs of real-time control and optimization.

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  • Straw fermentation fuel ethanol production process key state variable soft measuring method based on fuzzy support vector machine
  • Straw fermentation fuel ethanol production process key state variable soft measuring method based on fuzzy support vector machine
  • Straw fermentation fuel ethanol production process key state variable soft measuring method based on fuzzy support vector machine

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Embodiment Construction

[0062] The invention consists of a hardware platform and measurement software, wherein the core of the hardware platform is composed of a fermentation tank, a steam generator, an air compressor, an air filter, and a water supply system, and is equipped with a measuring instrument, a computer system, and an intelligent controller for software calculation . The hardware connection is that the input end of the fermenter is connected with the steam generator, air filter and water supply system through pipelines, the air compressor is connected with the air filter and water supply system, and the soft measurement software runs on the intelligent controller to obtain The soft measurement result can be transmitted to the monitoring computer or an independent computer through the data channel. The detailed structure is as figure 1 shown. Fermentation system consisting of fermentation tank 1, steam generator 2, air compressor 3, air filter 4, and water supply system, the measuring in...

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Abstract

The invention discloses a straw fermentation fuel ethanol production process key state variable soft measuring method based on a fuzzy support vector machine. The method is characterized in that intelligent calculation is carried out based on a hardware platform, a measuring instrument and computer system software, real-time process data is obtained by the measuring instrument, and online real-time estimation is carried out. The method comprises the steps of: firstly, analyzing the technology mechanism of the straw fermentation fuel ethanol production process, selecting suitable auxiliary variables, establishing a training sample database according to historical batch fermentation data, then mapping the training samples to a high-dimensional core space, and calculating the fuzzy membership corresponding to each sample point in the core space; utilizing the fuzzy support vector machine to carry out training on the training samples after fuzzification, and establishing a soft measuring model; and finally, according to the newest input vectors of the batch fermentation to be predicted, predicting key state variables. According to the invention, the online real-time prediction of the key state variables in the straw fermentation fuel ethanol production process is realized, and the method has great significance on the parameter detection and optimization control of the straw fermentation fuel ethanol production process.

Description

technical field [0001] The invention belongs to the interdisciplinary field of biotechnology and information science, and mainly relates to the soft measurement of three key state variables that are difficult to be measured online and in real time by physical sensors in the process of fermenting fuel ethanol with physical sensors——cellulase activity, ethanol concentration, and total sugar concentration method. Background technique [0002] With the increasingly serious environmental pollution and the intensifying energy crisis, biomass energy has been praised by countries all over the world as a sunrise industry with huge economic potential due to its huge resources, convenient use, cleanliness and pollution-free characteristics. Biomass energy mainly includes fuel ethanol, biodiesel, biogas, and biohydrogen production. Among them, fuel ethanol is the largest biomass energy produced and used in the world, and it is the only one extracted from biomass that can be directly use...

Claims

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Application Information

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IPC IPC(8): G01D21/02G06K9/62
CPCG01D21/02G06F18/2411
Inventor 朱湘临嵇小辅王博何裕俊刘元清华天争凌婧
Owner JIANGSU UNIV
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