Process of elasticity thickness optimiztion for biologic ferment tank batch procedure

Abstract

The invention is an elastic control optimizing method for bio-fermentation batch course. On the condition of ensuring the top-bottom working segments and load stable, firstly determining an elastic control interval for the cylinder batch to be stopped, where the optimum time of stopping cylinder batch is; then making on-line calculation of an elastic control function of the cylinder batch in this interval, where the function quantitatively gives the benefit-making potential of the cylinder batch relative to average cylinder batch; and finally according to the function, implementing the object of the maximum economic benefits and applying the policy of elastically stopping cylinder to determine the optimum cylinder batch-stopping time. It stops low-benefit and -potential cylinder batch in advance, thus reducing economic losses; prolonging high-benefit and -potential cylinder batch, increasing economic benefits and finally on the condition of not increasing production cost, increasing the total economic benefits of a whole workshop.

Description

technical field [0001] The invention relates to an optimization method for biological fermentation, in particular to an elastic scheduling optimization method for a biological fermentation batch process, and belongs to the field of biological technology. Background technique [0002] The biological fermentation batch process is an important industrial production process, providing medicines (antibiotics, genetic engineering recombinant drugs, vaccines, vitamins, etc.), food and feed additives (various amino acids, nucleic acids, etc.) and other products related to the national economy and people's livelihood (alcoholic beverages, soy sauce and vinegar, biological health care products). The typical characteristics of biological fermentation production are complex mechanism, poor repeatability, and the fluctuation of production process is much higher than that of other chemical batch processes. Due to differences in seed quality, changes in raw material composition and ratio ...

AI Technical Summary

Problems solved by technology

The scheduling optimization method described in this paper can determine the next tank batch to be shut down in advance, but the tank stop time of the tank batch is limited to a given time in advance, and does not determine the time of the tank batch to be shut down according to the actual situation at that time. The best stop moment

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