Multi-objective optimization method for intermittent sugarcane boiling and crystallization process

Abstract

The invention discloses a multi-objective optimization method for intermittent sugarcane boiling and crystallization process, comprising the following steps: 1) constructing the variable value of the first initial gene; Carry out optimization to obtain the Pareto optimization solution set of the final crystal size distribution parameter; 3) carry out multi-objective decision-making to the Pareto optimization solution set of the final crystal size distribution parameter in step 2), and obtain the optimal final crystal size distribution parameter; 4) Construct the variable value of the second initial gene; 5) use the non-dominated sorting genetic algorithm to optimize the second initial gene in step 4), and obtain the Pareto optimization solution set of the first crystal size distribution parameter; 6) optimize the first crystal size Sorting the process variables corresponding to the Pareto optimization solution set of the distribution parameters; 7) outputting the result. The invention can obtain better optimization results to better guide the optimal control of the crystallization process of sugar cane boiling.

Description

technical field [0001] The invention relates to the technical field of sugar cane sugar production, in particular to a multi-objective optimization method for intermittent sugar cane boiled sugar crystallization process. Background technique [0002] The purpose of optimizing the crystallization process of intermittent sugarcane boiling is to obtain ideal crystal size distribution parameters, which are important indicators for evaluating product quality and affect the effectiveness of downstream operations. The crystal size distribution parameters mainly include the average crystal size and the coefficient of variation of crystal size. [0003] As the most important link in the sugarcane sugar production process, the intermittent sugarcane boiled sugar crystallization process is mainly realized by optimizing the massecuite temperature curve in the early stage. Another relatively ideal optimization method starts from the supersaturation of the sugar solution. The higher the ...

AI Technical Summary

Problems solved by technology

People generally hope to obtain the largest average crystal size and the smallest crystal size variation coefficient in the shortest time, and the process variables that affect these two parameters mainly include massecuite temperature, sugar liquid supersaturation, sugar liquid purity, crystal volume and Massecuite volume. In addition, the characteristics of the seeded crystals (mainly the number, size and quality of the seeded crystals) also have a great influence on these two parameters, and these process variables interact with the characteristics of the seeded crystals to affect the average crystal size and crystal size. The influence of the size variation coefficient is complex

[0005] Therefore, it is necessary to study the intermittent sugarcane boiling and crystallization process variables and the relationship between the characteristics of seeded crystals and product quality and the traditional multi-objective optimization algorithm is difficult to integrate them into the optimization process at the same time. A multi-objective optimization method for sugarcane boiled sugar crystallization process, which is of great significance for decision makers to implement better operation strategies to obtain ideal sucrose crystals

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