Intermittent sugarcane sugar boiling and crystallization process multi-objective optimization method

Abstract

The invention discloses an intermittent sugarcane sugar boiling and crystallization process multi-objective optimization method. The method comprises the following steps: 1) establishing a variable value of a first initial gene; 2) performing optimization to the first initial gene in step 1) by using a non-dominated sorting genetic algorithm to obtain a Pareto optimal solution set of final crystal size distribution parameters; 3) performing multi-objective decision making to the Pareto optimal solution set of the final crystal size distribution parameters in step 2) to obtain an optimal final crystal size distribution parameter; 4) establishing a variable value of a second initial gene; 5) performing optimization to the second initial gene in step 4) by using the non-dominated sorting genetic algorithm to obtain a Pareto optimal solution set of first crystal size distribution parameters; 6) ordering process variables corresponding to the Pareto optimal solution set of the first crystal size distribution parameters; 7) outputting results. By using the intermittent sugarcane sugar boiling and crystallization process multi-objective optimization method, better optimization results can be obtained so as to better guide the optimization control of a sugarcane sugar boiling and crystallization process.

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 ...

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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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