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Penicillin fermentation process soft measurement modeling method for optimizing a gradient lifting regression tree based on a fruit fly algorithm

A technology of penicillin fermentation and Drosophila algorithm, applied in computational model, calculation, biological model, etc., can solve problems such as multi-time, loss, and poor quality control.

Pending Publication Date: 2019-06-07
JIANGNAN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

Compared with the online real-time measurement method, the offline measurement of penicillin concentration generally consumes more time, which is very unfavorable for the quality control of penicillin fermentation process

Method used

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  • Penicillin fermentation process soft measurement modeling method for optimizing a gradient lifting regression tree based on a fruit fly algorithm
  • Penicillin fermentation process soft measurement modeling method for optimizing a gradient lifting regression tree based on a fruit fly algorithm
  • Penicillin fermentation process soft measurement modeling method for optimizing a gradient lifting regression tree based on a fruit fly algorithm

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Embodiment

[0077] Adopt a kind of soft-sensing modeling method of penicillin fermentation process based on gradient lifting regression tree proposed by the present invention, take 12000 groups of penicillin fermentation process data altogether of 15 production batches, each batch all represents a complete fermentation process, wherein 9 batches as the training dataset for soft sensor modeling A i is a 1×5-dimensional row vector, a set of input quantities for soft sensor modeling samples, is A i The output of the corresponding soft sensor modeling samples, i=1, 2,...,7200; 6 batches are used as the test data set for soft sensor modeling {(B 1 ,y 1 ),(B 2 ,y 2 ),…,(B 4800 ,y 4800 )}, B i is a 1×5-dimensional row vector, a set of input quantities for soft sensor modeling samples, y i is B i Corresponding output of soft sensor modeling samples, i=1, 2, . . . , 4800. The specific implementation is as follows:

[0078] Initialize each parameter, set the population size P=50, the ...

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Abstract

The invention provides a penicillin fermentation process soft measurement modeling method for optimizing a gradient lifting regression tree based on a fruit fly algorithm, and belongs to the field ofindustrial fermentation production process soft measurement modeling and application. According to the method, key parameters of a gradient lifting regression tree are optimized through a fruit fly optimization algorithm; the soft measurement modeling of the penicillin fermentation process is realized; the penicillin product concentration needing to be measured offline is subjected to online softmeasurement through the auxiliary variable which can be measured in real time in the penicillin fermentation process, the model output value is calibrated in combination with the offset compensation technology, and a method is provided for online real-time measurement of the product concentration in the penicillin fermentation process. The soft measurement modeling method can improve the prediction precision of the product concentration in the penicillin fermentation process, and can be effectively used for guiding penicillin production.

Description

technical field [0001] The invention belongs to the field of soft-sensing modeling and application of industrial fermentation production process, in particular to a soft-sensing modeling method of biochemical product concentration in fermentation process based on gradient lifting regression tree. Background technique [0002] Penicillin is an important product in the field of industrial fermentation and has a very wide range of applications. The fermentation process of penicillin has the characteristics of high nonlinearity, poor repeatability and slow time variation. In the actual production process, penicillin concentration 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 off-line measurement of penicillin concentrat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/00
Inventor 潘丰黄继炜
Owner JIANGNAN UNIV
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