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Molecular distillation process parameter optimizing method based on GA-BP (Genetic Algorithm-Back Propagation) algorithm

A process parameter optimization, GA-BP technology, applied in molecular distillation, distillation adjustment/control, etc., can solve the problems of low purity and yield of distillate, inaccurate molecular distillation process parameters, etc.

Inactive Publication Date: 2012-08-08
CHANGCHUN UNIV OF TECH
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Problems solved by technology

[0004] In order to solve the problems of inaccurate molecular distillation process parameters determined by traditional methods and low purity and yield of distillates, the present invention provides a molecular distillation process parameter optimization method based on GA-BP algorithm

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  • Molecular distillation process parameter optimizing method based on GA-BP (Genetic Algorithm-Back Propagation) algorithm
  • Molecular distillation process parameter optimizing method based on GA-BP (Genetic Algorithm-Back Propagation) algorithm

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Embodiment Construction

[0035] The technical solutions of the present invention will be further described in detail below in conjunction with examples.

[0036] The present invention takes the production experiment of extracting the essential oil of Schisandra chinensis by molecular distillation as an example. The dry fruit Schisandra chinensis is used as the raw material in the experiment. First, through supercritical CO 2 The extraction device extracts the crude oil of Schisandra chinensis, and then uses the crude oil of Schisandra chinensis as raw material to carry out molecular distillation through the DCH-300 automatic control three-stage wiped-film molecular distillation device of Changchun University of Technology to extract the essential oil of Schisandra chinensis.

[0037] The learning of the artificial neural network is the process of inductive learning of the data. By repeatedly learning the data samples, the weights and thresholds of the interconnection between each neuron are continuousl...

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Abstract

The invention discloses a molecular distillation process parameter optimizing method based on a GA-BP (Genetic Algorithm-Back Propagation) algorithm, which relates to the field of molecular distillation optimization. The method comprises the following steps of: optimizing the weight value and threshold value of a BP neural network by using a GA algorithm; forecasting the purity and yield of a distillate through three process control parameters, i.e., the evaporating surface temperature, the vacuum degree in an evaporator and feeding speed in a molecular distillation process by using the BP neural network; and realizing a process of acquiring optimized process control parameter input value by using the expected purity and yield in molecular distrilling process by using GA algorithm. Due tothe adoption of the method, the purity and yield of the distillate can be comprehended immediately, accurate forecasting can be performed, adjusting measures can be adopted immediately, key factors influencing the product quality of the distillate are controlled reasonably, the purity and yield of the product are kept in a specified range, the production efficiency of an enterprise is effectivelyincreased, energy is saved, and the production cost of the enterprise is lowered.

Description

technical field [0001] The invention relates to the field of molecular distillation process condition optimization, in particular to a molecular distillation process parameter optimization method based on GA (Genetic Algorithm, genetic algorithm) and BP (Back Propagation, error backpropagation) network. Background technique [0002] At present, manufacturers such as pharmaceutical factories and health care products are all very concerned about the extraction technology of essential oils. Taking the extraction of Schisandra essential oil as an example, the soaking method and steam distillation method are mainly used in pharmaceutical factories. Although these two methods are relatively low in cost, their composition It is a mixture, the essential oil is not high, the purity is very low, and the extraction time is long, and the soaking time is as long as several hours to more than ten hours or even longer; in recent years, supercritical extraction and molecular distillation hav...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B01D3/42B01D3/12
Inventor 李慧张德江尤文胡彩霞
Owner CHANGCHUN UNIV OF TECH
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