CN-121979128-A - Self-adaptive collaborative optimization method and system based on separation simulation control

CN121979128ACN 121979128 ACN121979128 ACN 121979128ACN-121979128-A

Abstract

The application provides a self-adaptive collaborative optimization method and a system based on separation simulation control, and relates to the technical field of separation. Based on the hydrodynamic parameter set, a gas-liquid separation simulation optimizing channel is constructed, wherein the gas-liquid separation simulation optimizing channel comprises a simulation branch and an optimizing branch. And introducing a separation constraint condition according to the type of the target separator, and performing simulation determination results. And synchronizing the result to an optimization branch to generate an optimization scheme. And executing an optimization scheme, monitoring in real time, generating a dynamic adjustment instruction, and realizing intelligent gas-liquid separation. The application can solve the problems that the prior art cannot respond to the dynamic change of the mixture in real time due to the lack of flexibility and adaptability, so that the separation efficiency is low, and the quality of products produced in industry is further influenced. According to the real-time characteristic of the mixture, the separation parameters are automatically adjusted to realize the optimal separation effect, so that the overall separation efficiency is improved.

Inventors

QIANG XINMING
ZHANG XUELONG
XIE SHUQIAO
LU YONGXIN
SUN YONGHONG
HUANG YUE
QIANG JIANJUN
CHEN YONGQIANG
SHANG HUAICHAO
LI JIANHUA

Assignees

南通医疗器械有限公司

Dates

Publication Date: 20260505
Application Date: 20251225

Claims (8)

1. The self-adaptive collaborative optimization method based on separation simulation control is characterized by comprising the following steps of: extracting separation requirement information based on a mixture to be separated, screening according to the separation requirement information, and determining the type of a target separator; constructing a gas-liquid separation simulation optimizing channel by extracting a hydrodynamic parameter set of the mixture to be separated, wherein the gas-liquid separation simulation optimizing channel comprises a gas-liquid separation simulation branch and a gas-liquid separation optimizing branch; According to the type of the target separator, introducing a separation constraint condition, and combining the hydrodynamic parameter set to perform separation simulation through the gas-liquid separation simulation branch to determine a gas-liquid separation simulation result; Synchronizing the gas-liquid separation simulation result to the gas-liquid separation optimizing branch to generate a gas-liquid separation optimizing scheme; and executing the gas-liquid separation optimization scheme to perform real-time monitoring, and generating a dynamic adjustment instruction to perform gas-liquid intelligent separation on the mixture to be separated.
2. The method according to claim 1, wherein extracting the set of hydrodynamic parameters of the mixture to be separated comprises: setting measurement environment data according to the separation requirement information; Determining measurement demand information based on a gas-liquid separation target; Based on the measurement environment data, measuring the mixture to be separated according to the measurement demand information in sequence, and recording a plurality of measurement data to generate flow data, pressure data, speed data, density data and viscosity data; Adding the flow data, the pressure data, the velocity data, the density data, the viscosity data to the set of hydrodynamic parameters.
3. The method of claim 1, wherein constructing a gas-liquid separation simulation optimization channel, the method comprising: performing feature extraction on the mixture to be separated based on the hydrodynamic parameter set of the mixture to be separated, and generating a plurality of feature information of the mixture to be separated; the gas-liquid separation history experiment file is called, and a separation boundary condition is set; based on the characteristic information and the separation requirement information, constructing a geometric model of the gas-liquid separator according to the separation boundary condition; Constructing the gas-liquid separation simulation branch by combining the hydrodynamic parameter set and the geometric model of the gas-liquid separator; setting an optimization variable based on the geometric model of the gas-liquid separator; optimizing according to the optimization variable and an optimization algorithm, and constructing the gas-liquid separation optimization branch; And constructing the gas-liquid separation simulation optimizing channel based on the gas-liquid separation simulation branch and the gas-liquid separation optimizing branch, wherein the output end of the gas-liquid separation simulation branch is in communication connection with the input end of the gas-liquid separation optimizing branch.
4. The method of claim 1, wherein the separation constraint, the method comprising: performing separator performance analysis based on the target separator type, determining a plurality of separation performance parameters including a separation flow parameter, a separation efficiency parameter, a separation pressure drop parameter, a separation structure parameter; traversing the separation flow parameters to carry out boundary determination, and formulating separation flow constraint; judging the content of gas or liquid according to the separation efficiency parameters, and formulating separation efficiency constraint; traversing the separation pressure drop parameters to extract the maximum value and making a separation pressure drop constraint; formulating a separation structure constraint according to the separation requirement information and the separation structure parameter; The separation constraint is determined based on the separation flow constraint, the separation efficiency constraint, the separation pressure drop constraint, and the separation structure constraint.
5. A method according to claim 3, wherein a separation constraint is introduced in accordance with the target separator type, separation simulation is performed through the gas-liquid separation simulation branch in combination with the hydrodynamic parameter set, and a gas-liquid separation simulation result is determined, the method comprising: Extracting the geometric model of the gas-liquid separator based on the target separator type; Performing simulated separation monitoring on the mixture to be separated by combining the fluid mechanics parameter set through the geometric model of the gas-liquid separator to generate a simulated separation monitoring result; evaluating the simulated separation monitoring result based on the separation constraint condition, and judging whether the simulated separation monitoring result meets the separation constraint condition according to the evaluation result; And if the simulated separation monitoring result does not meet the separation constraint condition, adjusting the geometric model and/or the hydrodynamic parameter set of the gas-liquid separator, repeating the simulated analysis until the simulated separation monitoring result meets the separation constraint condition, and outputting the gas-liquid separation simulation result.
6. The method of claim 1, wherein synchronizing the gas-liquid separation simulation result to the gas-liquid separation optimization branch generates a gas-liquid separation optimization scheme, the method comprising: Randomly generating N gas-liquid separation optimization schemes based on the gas-liquid separation simulation result, wherein N is an integer greater than or equal to 2; Introducing a fitness function, performing fitness evaluation on the N gas-liquid separation optimization schemes through the fitness function, and generating N fitness values, wherein the N fitness values have corresponding relations with the N gas-liquid separation optimization schemes; Performing tournament selection on the N gas-liquid separation optimization schemes based on the N fitness values to obtain M gas-liquid separation optimization schemes, wherein M is an integer smaller than N and equal to or greater than 1; randomly selecting a first gas-liquid separation optimization scheme and a second gas-liquid separation optimization scheme as parents based on the M gas-liquid separation optimization schemes to carry out cross combination, so as to generate a first offspring gas-liquid separation optimization scheme; Calculating whether the fitness value of the first sub gas-liquid separation optimization scheme is larger than a preset fitness threshold value, and updating the M gas-liquid separation optimization schemes based on the first sub gas-liquid separation optimization scheme; And sorting the M gas-liquid separation optimization schemes in a descending order according to the fitness value, and extracting and outputting the gas-liquid separation optimization schemes in the first order.
7. The method of claim 2, wherein performing the gas-liquid separation optimization scheme for real-time monitoring comprises: Executing the gas-liquid separation optimization scheme, performing weighted monitoring on the flow data, the pressure data, the speed data, the density data and the viscosity data of the mixture to be separated, and determining a plurality of weighted monitoring data; setting a plurality of parameter monitoring indexes, and evaluating the plurality of weighted monitoring data and the plurality of parameter monitoring indexes to generate a plurality of separation scores; Setting an abnormal trigger condition based on the plurality of separation scores, and generating the dynamic adjustment instruction when the flow data and/or the pressure data and/or the speed data and/or the density data and/or the viscosity data trigger the abnormal trigger condition.
8. An adaptive collaborative optimization system based on separation simulation control, characterized by the steps for implementing the method of any of claims 1 to 7, said system comprising: The information screening module is used for extracting separation requirement information based on the mixture to be separated, screening according to the separation requirement information and determining the type of the target separator; the optimizing channel construction module is used for constructing a gas-liquid separation simulation optimizing channel by extracting a hydrodynamic parameter set of the mixture to be separated, and the gas-liquid separation simulation optimizing channel comprises a gas-liquid separation simulation branch and a gas-liquid separation optimizing branch; The separation simulation module is used for introducing a separation constraint condition according to the type of the target separator, carrying out separation simulation through the gas-liquid separation simulation branch by combining the hydrodynamic parameter set, and determining a gas-liquid separation simulation result; The separation optimization scheme generation module is used for synchronizing the gas-liquid separation simulation result to the gas-liquid separation optimization branch to generate a gas-liquid separation optimization scheme; the intelligent separation module is used for executing the gas-liquid separation optimization scheme to conduct real-time monitoring, generating a dynamic adjustment instruction and conducting gas-liquid intelligent separation on the mixture to be separated.

Description

Self-adaptive collaborative optimization method and system based on separation simulation control Technical Field The application relates to the technical field of separation, in particular to a self-adaptive collaborative optimization method and system based on separation simulation control. Background In many industrial processes, gaseous or liquid impurities contained in the product or intermediate product can affect the quality of the final product. Through gas-liquid separation, the impurities can be effectively removed, and the purity and quality of the product are ensured. In some industrial processes, the mixture may contain more valuable gaseous or liquid components. By separation, these components can be recycled, thereby saving resources and reducing costs. Currently, existing gas-liquid separation techniques may have some limitations that do not provide an efficient separation solution for all types of mixtures. These techniques may rely on fixed operating parameters, be unable to accommodate changes in the fluid properties of the mixture, or lack real-time response to dynamic changes in the separation process. In summary, the prior art lacks flexibility and adaptability, and cannot respond to dynamic changes of the mixture in real time, so that the separation efficiency is low, and the quality of products produced in industry is further affected. Disclosure of Invention The application aims to provide a self-adaptive collaborative optimization method and a self-adaptive collaborative optimization system based on separation simulation control, which are used for solving the problem that the separation efficiency is low and the quality of products in industrial production is further affected because the prior art cannot respond to the dynamic change of a mixture in real time due to the lack of flexibility and adaptability. In view of the above problems, the application provides a self-adaptive collaborative optimization method and a system based on separation simulation control. The application provides a self-adaptive collaborative optimization method based on separation simulation control, which is realized by a self-adaptive collaborative optimization system based on separation simulation control, wherein the method comprises the steps of extracting separation requirement information based on a mixture to be separated, screening according to the separation requirement information, determining a target separator type, constructing a gas-liquid separation simulation optimization channel by extracting a hydrodynamic parameter set of the mixture to be separated, wherein the gas-liquid separation simulation optimization channel comprises a gas-liquid separation simulation branch and a gas-liquid separation optimization branch, introducing separation constraint conditions according to the target separator type, carrying out separation simulation through the gas-liquid separation simulation branch by combining the hydrodynamic parameter set, determining a gas-liquid separation simulation result, synchronizing the gas-liquid separation simulation result to the gas-liquid separation optimization branch, generating a gas-liquid separation optimization scheme, carrying out real-time monitoring on the gas-liquid separation optimization scheme, and generating a dynamic adjustment instruction to carry out gas-liquid intelligent separation on the mixture to be separated. The application further provides a self-adaptive collaborative optimization system based on separation simulation control, which is used for executing the self-adaptive collaborative optimization method based on separation simulation control according to the first aspect, wherein the system comprises an information screening module, a separation optimization scheme generating module, an optimization channel constructing module and an intelligent separation optimization module, wherein the information screening module is used for extracting separation requirement information based on a mixture to be separated and screening according to the separation requirement information, the optimization channel constructing module is used for constructing a gas-liquid separation simulation optimization channel by extracting a fluid mechanical parameter set of the mixture to be separated, the gas-liquid separation simulation optimization channel comprises a gas-liquid separation simulation branch and a gas-liquid separation optimization branch, the separation simulation module is used for introducing separation constraint conditions according to the target separator type, combining the fluid mechanical parameter set to perform separation simulation through the gas-liquid separation simulation branch to determine a gas-liquid separation simulation result, the separation optimization scheme generating module is used for synchronizing the gas-liquid separation simulation result to the gas-liquid separation optimization branch to generate a gas-liquid separat