Carbon dioxide separation and purification method and system based on multistage ammonia refrigeration coupling

Abstract

The invention provides a carbon dioxide separation and purification method and system based on multistage ammonia refrigeration coupling, and relates to the technical field of separation.The method comprises the steps that to-be-treated gas containing carbon dioxide is introduced into a gas pretreatment device to be pretreated, and component content data of the available gas containing the carbon dioxide is collected; constructing a multi-stage ammonia refrigeration coupling channel, and arranging a monitoring sensor group on the multi-stage ammonia refrigeration coupling channel; creating a carbon dioxide separation and purification intelligent agent based on the multi-stage ammonia refrigeration coupling channel, carrying out separation, purification and analysis on the component content data, and determining target gas separation and purification parameters; based on the target gas separation and purification parameters, the multi-stage ammonia refrigeration coupling channel is controlled to execute carbon dioxide separation and purification, and the carbon dioxide separation and purification process is monitored, optimized and regulated through the monitoring sensor group. The technical problem that in the prior art, the carbon dioxide separation and purification effect is poor can be solved, and the technical effect of improving the carbon dioxide separation and purification effect is achieved.

Description

Technical Field

[0001] This application relates to the field of separation technology, and in particular to a method and system for carbon dioxide separation and purification based on multi-stage ammonia refrigeration coupling. Background Technology

[0002] As the application of carbon dioxide capture and separation purification technology in cryogenic refrigeration, chemical processes and energy conversion continues to expand, higher requirements are being placed on the dynamic stability, energy efficiency and parameter response speed of the separation and purification process.

[0003] Currently, existing carbon dioxide separation and purification systems generally adopt fixed-parameter refrigeration condition adjustment strategies and single error correction modes. These systems are difficult to achieve real-time adaptive control of the separation and purification effect under the complex thermodynamic coupling conditions of multi-stage ammonia refrigeration coupling channels. Furthermore, their deviation analysis capabilities are limited, making it impossible to maintain high-purity output when operating conditions fluctuate.

[0004] In summary, existing technologies suffer from problems such as lagging regulation, decreased efficiency, and increased purity fluctuations during carbon dioxide separation and purification due to the lack of a PID initialization mechanism that can be dynamically updated according to the refrigeration cascade state, the lack of a multi-maintenance correction analysis framework for gas separation deviations, and the lack of optimization and control capabilities based on coupled channels. These issues further affect the stable operation of the process system and the consistency control of energy consumption and product gas purity. Summary of the Invention

[0005] The purpose of this application is to provide a carbon dioxide separation and purification method and system based on multi-stage ammonia refrigeration coupling, in order to solve the problems in the prior art that lead to lag in control, decreased efficiency and increased purity fluctuations in the carbon dioxide separation and purification process due to the lack of a PID initialization mechanism that can be dynamically updated with the refrigeration cascade state, the lack of a multi-level corrective analysis framework for gas separation deviation, and the lack of optimization and control capabilities based on the coupling channel. These problems further affect the stable operation of the process system and the consistency control of energy consumption and product gas purity.

[0006] In view of the above problems, this application provides a carbon dioxide separation and purification method and system based on multi-stage ammonia refrigeration coupling.

[0007] Firstly, this application provides a carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling, implemented through a multi-stage ammonia refrigeration coupling carbon dioxide separation and purification system. The method includes: introducing a carbon dioxide-containing gas to be treated into a gas pretreatment device for pretreatment to obtain usable carbon dioxide-containing gas, and collecting component content data of the usable carbon dioxide-containing gas; constructing a multi-stage ammonia refrigeration coupling channel, which consists of multiple ammonia refrigeration cycle units at different temperature levels, gas-liquid separation units, and purification units, wherein each stage of the ammonia refrigeration cycle unit is sequentially connected by pipes, and a monitoring sensor group is deployed on the multi-stage ammonia refrigeration coupling channel; creating a carbon dioxide separation and purification intelligent agent based on the multi-stage ammonia refrigeration coupling channel, activating the carbon dioxide separation and purification intelligent agent to separate, purify, and analyze the component content data to determine target gas separation and purification parameters; controlling the multi-stage ammonia refrigeration coupling channel to perform carbon dioxide separation and purification based on the target gas separation and purification parameters, and monitoring, optimizing, and controlling the carbon dioxide separation and purification process through the monitoring sensor group.

[0008] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: the gas pretreatment device includes a filter, a dryer, and a pressure regulating valve, wherein the filter, dryer, and pressure regulating valve are connected in sequence; a gas to be treated containing carbon dioxide is introduced into the gas pretreatment device, and the gas to be treated containing carbon dioxide is filtered through the filter to obtain a primary carbon dioxide-containing gas; the primary carbon dioxide-containing gas is adsorbed and dried using the dryer to obtain a secondary carbon dioxide-containing gas; and the secondary carbon dioxide-containing gas is adjusted to a preset pressure threshold based on the pressure regulating valve to obtain usable carbon dioxide-containing gas.

[0009] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: performing historical data mining based on the multi-stage ammonia refrigeration coupling channel to obtain an ammonia refrigeration carbon dioxide separation and purification dataset, wherein the ammonia refrigeration carbon dioxide separation and purification dataset includes historical carbon dioxide component content data, gas separation and purification parameters, and corresponding separation and purification effect data; obtaining carbon dioxide separation and purification targets, performing index extraction and fitting on the carbon dioxide separation and purification targets, and constructing a gas separation and purification effect evaluation function; using the gas separation and purification effect evaluation function to evaluate and optimize the effect of the ammonia refrigeration carbon dioxide separation and purification dataset to obtain a usable gas separation and purification dataset; and performing separation and purification coupling training based on the usable gas separation and purification dataset to create a carbon dioxide separation and purification agent.

[0010] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: extracting evaluation indicators for the carbon dioxide separation and purification target to obtain a set of gas separation and purification effect evaluation indicators; performing effect correlation analysis on each indicator in the set of gas separation and purification effect evaluation indicators using the ammonia refrigeration carbon dioxide separation and purification dataset to obtain a set of correlation coefficients for separation and purification effect indicators; assigning indicator weights based on the set of correlation coefficients for separation and purification effect indicators to determine a set of weight coefficients for separation and purification effect indicators; and performing multivariate weighted fitting on the set of gas separation and purification effect evaluation indicators according to the set of weight coefficients for separation and purification effect indicators to construct a gas separation and purification effect evaluation function.

[0011] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: designing a generative adversarial network (GAN), which includes a generator and a discriminator; using the GAN to augment the available gas separation and purification dataset to obtain an augmented gas separation and purification dataset; identifying the component content and purification parameters of the augmented gas separation and purification dataset to obtain a gas separation and purification sample set; and using a deep neural network to couple and train the gas separation and purification sample set to create a carbon dioxide separation and purification agent.

[0012] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: obtaining carbon dioxide component content data and corresponding optimal gas separation and purification parameters based on the available gas separation and purification dataset; using the discriminator to perform discrimination training on the carbon dioxide component content data and corresponding optimal gas separation and purification parameters to generate a gas discriminator; constructing a data augmentation generation strategy, training the generator according to the data augmentation generation strategy to obtain a gas generator; performing iterative alternating training on the gas discriminator and the gas discriminator to determine the separation and purification generator, and using the separation and purification generator to augment and expand the available gas separation and purification dataset to obtain an expanded gas separation and purification dataset.

[0013] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: monitoring the carbon dioxide separation and purification process through the monitoring sensor group to obtain carbon dioxide separation and purification status data; constructing a gas graded regulation response mechanism based on the multi-stage ammonia refrigeration coupling channel; and optimizing closed-loop regulation of the carbon dioxide separation and purification status data based on the gas graded regulation response mechanism.

[0014] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: predicting the separation and purification effect of the carbon dioxide separation and purification state data to obtain gas separation and purification prediction effect parameters; triggering the gas graded regulation response mechanism to compare the expected gas separation and purification prediction effect parameters to determine gas separation and purification effect deviation parameters; performing optimization and correction analysis based on the gas separation and purification effect deviation parameters to obtain gas separation and purification correction amount, and performing optimization closed-loop regulation through the gas separation and purification correction amount.

[0015] Preferably, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling further includes: initializing a PID separation and purification controller according to the multi-stage ammonia refrigeration coupling channel; optimizing and correcting the gas separation and purification effect deviation parameters based on the PID separation and purification controller, and outputting the gas separation and purification correction amount.

[0016] Secondly, this application also provides a carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling, used to perform the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling as described in the first aspect, comprising: a component content data acquisition module, used to introduce the gas to be treated containing carbon dioxide into a gas pretreatment device for pretreatment to obtain usable carbon dioxide-containing gas, and to acquire component content data of the usable carbon dioxide-containing gas; a monitoring sensor group deployment module, used to construct a multi-stage ammonia refrigeration coupling channel, the multi-stage ammonia refrigeration coupling channel being composed of multiple ammonia refrigeration cycle units, gas-liquid separation units, and purification units at different temperature levels, wherein the ammonia refrigeration cycle units at each stage are connected sequentially by pipes, and a monitoring sensor group is deployed on the multi-stage ammonia refrigeration coupling channel; a separation and purification parameter determination module, used to create a carbon dioxide separation and purification intelligent agent based on the multi-stage ammonia refrigeration coupling channel, activate the carbon dioxide separation and purification intelligent agent to perform separation and purification analysis on the component content data, and determine the target gas separation and purification parameters; and a monitoring optimization and control module, used to control the multi-stage ammonia refrigeration coupling channel to perform carbon dioxide separation and purification based on the target gas separation and purification parameters, and to monitor, optimize, and control the carbon dioxide separation and purification process through the monitoring sensor group.

[0017] The technical solution provided in this application has at least the following technical effects or advantages: by achieving the technical goals of adaptive separation and purification parameter control, real-time identification and correction of deviations, and dynamic steady-state maintenance of the separation and purification process for multi-stage ammonia refrigeration coupling channels, it achieves the technical effects of improving separation efficiency, reducing refrigeration energy consumption, maintaining high purity output, and ensuring long-term stable operation under complex working conditions.

[0018] The above description is merely an overview of the technical solution of this application. To enable a clearer understanding of the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 This is a schematic diagram of the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling in this application.

[0021] Figure 2 This is a schematic diagram of the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling in this application.

[0022] Figure labeling: 1. Component content data acquisition module; 2. Monitoring sensor group layout module; 3. Separation and purification parameter determination module; 4. Monitoring, optimization and control module. Detailed Implementation

[0023] This application provides a carbon dioxide separation and purification method and system based on multi-stage ammonia refrigeration coupling. It solves the problems in existing technologies, such as the lack of a dynamically updated PID initialization mechanism that adapts to the refrigeration cascade state, the lack of a multi-stage corrective analysis framework for gas separation deviations, and the lack of optimization and control capabilities based on the coupling channels. These problems lead to lag in control, decreased efficiency, and increased purity fluctuations during carbon dioxide separation and purification, further affecting the stable operation of the process system and the consistency control of energy consumption and product gas purity. The method achieves the technical goals of adaptive separation and purification parameter control for multi-stage ammonia refrigeration coupling channels, real-time deviation identification and correction, and dynamic steady-state maintenance of the separation and purification process. This results in improved separation efficiency, reduced refrigeration energy consumption, maintained high-purity output, and long-term stable operation under complex conditions.

[0024] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0025] Example 1, please refer to the appendix. Figure 1 This application provides a carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling, which is applied to a carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling, and specifically includes the following steps: S1: The gas to be treated containing carbon dioxide is introduced into a gas pretreatment device for pretreatment to obtain usable carbon dioxide-containing gas, and the composition content data of the usable carbon dioxide-containing gas is collected.

[0026] Furthermore, this application also includes: the gas pretreatment device includes a filter, a dryer, and a pressure regulating valve, wherein the filter, dryer, and pressure regulating valve are connected in sequence; a gas to be treated containing carbon dioxide is introduced into the gas pretreatment device, and the gas to be treated containing carbon dioxide is filtered through the filter to obtain a primary carbon dioxide-containing gas; the primary carbon dioxide-containing gas is adsorbed and dried using the dryer to obtain a secondary carbon dioxide-containing gas; the secondary carbon dioxide-containing gas is adjusted to a preset pressure threshold based on the pressure regulating valve to obtain usable carbon dioxide-containing gas.

[0027] Specifically, the gas to be treated is the gas for which carbon dioxide separation and purification is required. The gas containing carbon dioxide is introduced into a gas pretreatment unit for pretreatment to ensure that it meets suitable conditions for processing before entering the subsequent separation and purification system. The gas pretreatment unit includes a filter, a dryer, and a pressure regulating valve, which are connected sequentially. The filter removes solid particles from the gas, the dryer removes moisture, and the pressure regulating valve adjusts the gas pressure to ensure stable gas flow and pressure, facilitating subsequent processing.

[0028] The gas to be treated, containing carbon dioxide, is introduced into a gas pretreatment unit. The gas is filtered through a filter to remove solid impurities, yielding a primary carbon dioxide-containing gas. This ensures the gas is free of particulate matter that could potentially affect subsequent processing. The primary carbon dioxide-containing gas is then subjected to adsorption drying using a dryer. Adsorption or other drying techniques are used to remove moisture from the gas, resulting in a secondary carbon dioxide-containing gas.

[0029] The pressure of the secondary carbon dioxide-containing gas is adjusted according to a preset pressure threshold using a pressure regulating valve. This ensures the secondary carbon dioxide-containing gas is suitable for subsequent processing or separation, yielding usable carbon dioxide-containing gas. The compositional content data of the usable carbon dioxide-containing gas is collected for subsequent processing and analysis.

[0030] S2: Construct a multi-stage ammonia refrigeration coupling channel, which consists of multiple ammonia refrigeration cycle units, gas-liquid separation units, and purification units at different temperature levels. The ammonia refrigeration cycle units at each level are connected sequentially by pipes, and a monitoring sensor group is deployed on the multi-stage ammonia refrigeration coupling channel.

[0031] Specifically, a multi-stage ammonia refrigeration coupling channel is constructed. This channel consists of multiple ammonia refrigeration cycle units at different temperature levels, a gas-liquid separation unit, and a purification unit, used to achieve the separation and purification of carbon dioxide. The different temperature levels of the ammonia refrigeration cycle units provide multi-stage heat exchange and cooling, the gas-liquid separation unit separates the liquid and gaseous components of the gas, and the purification unit further purifies the carbon dioxide in the gas.

[0032] The various ammonia refrigeration cycle units are connected sequentially via pipelines. This connection ensures the continuity and efficiency of the cooling process. A well-designed pipeline layout ensures sufficient heat exchange between the ammonia refrigeration units at different temperature levels, thereby improving separation and purification efficiency.

[0033] A monitoring sensor array was deployed along the multi-stage ammonia refrigeration coupling channel. To ensure precise control and optimization of the carbon dioxide separation and purification process, the monitoring sensor array was placed at various key nodes within the multi-stage ammonia refrigeration coupling channel. The sensors collect real-time data on temperature, pressure, and gas composition, providing essential information support for subsequent intelligent optimization and control.

[0034] S3: Create a carbon dioxide separation and purification intelligent agent based on the multi-stage ammonia refrigeration coupling channel, activate the carbon dioxide separation and purification intelligent agent to separate, purify and analyze the component content data, and determine the target gas separation and purification parameters.

[0035] Furthermore, this application also includes: performing historical data mining based on the multi-stage ammonia refrigeration coupling channel to obtain an ammonia refrigeration carbon dioxide separation and purification dataset, wherein the ammonia refrigeration carbon dioxide separation and purification dataset includes historical carbon dioxide component content data, gas separation and purification parameters, and corresponding separation and purification effect data; obtaining carbon dioxide separation and purification targets, performing index extraction and fitting on the carbon dioxide separation and purification targets, and constructing a gas separation and purification effect evaluation function; using the gas separation and purification effect evaluation function to evaluate and optimize the effect of the ammonia refrigeration carbon dioxide separation and purification dataset to obtain a usable gas separation and purification dataset; and performing separation and purification coupling training based on the usable gas separation and purification dataset to create a carbon dioxide separation and purification agent.

[0036] Furthermore, this application also includes: extracting evaluation indicators for the carbon dioxide separation and purification target to obtain a set of gas separation and purification effect evaluation indicators; performing effect correlation analysis on each indicator in the set of gas separation and purification effect evaluation indicators using the ammonia refrigeration carbon dioxide separation and purification dataset to obtain a set of correlation coefficients for separation and purification effect indicators; assigning indicator weights based on the set of correlation coefficients for separation and purification effect indicators to determine a set of weight coefficients for separation and purification effect indicators; and performing multivariate weighted fitting on the set of gas separation and purification effect evaluation indicators according to the set of weight coefficients for separation and purification effect indicators to construct a gas separation and purification effect evaluation function.

[0037] Furthermore, this application also includes: designing a generative adversarial network, wherein the generative adversarial network includes a generator and a discriminator; using the generative adversarial network to enhance and expand the available gas separation and purification dataset to obtain a gas separation and purification expanded dataset; identifying the component content and purification parameter samples of the gas separation and purification expanded dataset to obtain a gas separation and purification sample set; and using a deep neural network to couple and train and optimize the gas separation and purification sample set to create a carbon dioxide separation and purification agent.

[0038] Furthermore, this application also includes: obtaining carbon dioxide content data and corresponding optimal gas separation and purification parameters based on the available gas separation and purification dataset; using the discriminator to perform discrimination training on the carbon dioxide content data and corresponding optimal gas separation and purification parameters to generate a gas discriminator; constructing a data augmentation generation strategy, training the generator according to the data augmentation generation strategy to obtain a gas generator; performing iterative alternating training on the gas discriminator and the gas discriminator to determine the separation and purification generator, and using the separation and purification generator to augment and expand the available gas separation and purification dataset to obtain an expanded gas separation and purification dataset.

[0039] Specifically, historical data mining is conducted based on a multi-stage ammonia refrigeration coupling channel. This involves systematically collecting and organizing various data generated during the long-term operation of the multi-stage ammonia refrigeration coupling channel to reveal the implicit patterns in carbon dioxide separation and purification behavior under ammonia refrigeration conditions, thus obtaining an ammonia refrigeration carbon dioxide separation and purification dataset. This dataset includes historical carbon dioxide composition data, gas separation and purification parameters, and corresponding separation and purification effect data. Historical carbon dioxide composition data characterizes the changes in gas components under different operating conditions; gas separation and purification parameters reflect the operating settings under different temperature, pressure, and flow rates; and separation and purification effect data records performance indicators such as carbon dioxide purification efficiency or yield under different parameter conditions, providing a basis for subsequent modeling.

[0040] The carbon dioxide separation and purification targets are identified, characterizing desired performance requirements such as purification efficiency, energy consumption level, or separation rate. Evaluation indicators are extracted from these targets, resulting in a set of measurable performance indicators to assess gas separation and purification effectiveness, providing clear evaluation dimensions for subsequent analysis.

[0041] The ammonia-cooled carbon dioxide separation and purification dataset was used to conduct a correlation analysis on the performance of each indicator in the gas separation and purification effect evaluation index set. The correlation analysis involves statistically processing historical operating data to identify the degree of correlation between different indicators, so as to quantify the direction and intensity of the influence of different performance indicators in the separation and purification process and obtain a set of correlation coefficients for the separation and purification effect indicators.

[0042] By allocating index weights based on the correlation coefficient set of separation and purification effect indicators, the relative importance of each gas separation and purification effect evaluation indicator in the overall evaluation is defined, and the weight coefficient set of separation and purification effect indicators is determined. This allows different gas separation and purification effect evaluation indicators to play a role that matches their true contribution in the evaluation process, thereby improving the scientificity and rationality of the evaluation system.

[0043] The gas separation and purification effect evaluation index set is subjected to multivariate weighted fitting based on the weight coefficient set of separation and purification effect indexes. Multivariate weighted fitting refers to establishing a function structure that can map the input index set to the comprehensive evaluation result based on the weight of each index, and constructing a gas separation and purification effect evaluation function.

[0044] The gas separation and purification effect evaluation function is used to evaluate and optimize the effect of the ammonia refrigeration carbon dioxide separation and purification dataset. It can distinguish between effective and ineffective samples in historical data, screen out data that are representative or have good effect on the target indicators, and obtain a usable gas separation and purification dataset, which is suitable for subsequent model training and performance optimization.

[0045] Furthermore, a Generative Adversarial Network (GAN) is designed. A GAN consists of a generator and a discriminator. A GAN is a data generation framework composed of two competing sub-models. The generator generates new data samples based on initial noise or sample distribution, while the discriminator distinguishes between generated and real samples. Through continuous adversarial training, the generator can gradually generate data that more closely resembles the real distribution, thus providing a high-fidelity source of simulated samples for data augmentation.

[0046] Based on the available gas separation and purification dataset, carbon dioxide content data and corresponding optimal gas separation and purification parameters are obtained. This means that by extracting and processing the component detection records, separation equipment operating parameter records, and purification effect evaluation records of the mixed gas samples included in the dataset, carbon dioxide content data reflecting the proportion of carbon dioxide in the mixed gas to be separated is obtained. Furthermore, based on the comparison results of existing purification experiments, the optimal gas separation and purification parameters for optimizing subsequent gas separation and purification effects are determined. The carbon dioxide content data refers to the quantitative content index obtained through gas chromatography, spectral absorption, or online sensing monitoring. The optimal gas separation and purification parameters refer to the temperature, pressure, adsorption medium switching time, or flow control parameters that maximize the separation and purification effect under given operating conditions.

[0047] A discriminator is trained on carbon dioxide content data and corresponding optimal gas separation and purification parameters to generate a gas discriminator. This means that through supervised or semi-supervised training, the discriminator model can distinguish whether gas samples meet the separation and purification performance requirements under different purification operation conditions, thus obtaining a gas discriminator capable of effectively judging sample data. Here, the discriminator refers to the machine learning model structure used to perform feature judgment, qualification determination, or operating condition classification.

[0048] A data augmentation generation strategy is constructed, and the generator is trained according to this strategy to obtain a gas generator. This represents a data augmentation strategy designed to address the insufficient availability of existing data to support comprehensive learning of separation and purification features. This strategy includes random perturbation rules, feature dimension expansion rules, and target distribution approximation rules. The initial generation model is then optimized and trained multiple times using this strategy, enabling it to generate virtual gas separation and purification sample data with a reasonable feature distribution based on the input conditions. Here, the generator is the model structure capable of outputting simulated feature data, and the data augmentation generation strategy is a set of strategies used to improve data diversity and feature coverage.

[0049] The gas discriminator and the gas generator are iteratively trained alternately to determine the separation and purification generator. This involves using an adversarial or alternating optimization training framework to continuously improve the realism and usability of the generated samples, and to continuously improve the discriminator's ability to recognize sample features. Through multiple rounds of training, the final separation and purification generator is formed after the generation model reaches a stable state. The separation and purification generator is then used to augment the available gas separation and purification dataset, resulting in an augmented gas separation and purification dataset. This means applying the separation and purification generator to the original dataset to augment it, obtaining an augmented gas separation and purification dataset covering different operating conditions, concentration variations, and purification conditions. Here, the separation and purification generator refers to the final generation model with stable generation capabilities after alternating training, and the augmented dataset refers to an expanded training dataset with a large number of structured augmented samples added to the original samples.

[0050] The gas separation and purification extended dataset is labeled with component content and purification parameters to obtain a gas separation and purification sample set. Sample labeling is the process of structuring the extended samples, encoding or labeling the component content data, temperature and pressure parameters, separation and purification settings, and corresponding effects of each sample in a trainable format, thereby forming a gas separation and purification sample set, providing standardized data input for subsequent deep learning model training.

[0051] A carbon dioxide separation and purification intelligent agent was created by coupling training and optimization of a gas separation and purification sample set using a deep neural network. The deep neural network learns from the sample set through a multi-layer nonlinear mapping structure, capturing the complex coupling relationship between parameters of each refrigeration unit, gas-liquid phase changes, and purification effect. During training, parameter tuning, loss function convergence, and multiple rounds of iterative optimization enable the network model to predict the optimal separation and purification strategy based on the input gas composition and system parameters, thus forming a carbon dioxide separation and purification intelligent agent with intelligent decision-making capabilities.

[0052] Based on available gas separation and purification datasets, a carbon dioxide separation and purification agent is created through separation and purification coupling training. Separation and purification coupling training is a process of iteratively training a deep learning model using a high-quality sample set. By capturing the nonlinear coupling relationship between different temperature levels, different parameter combinations, and separation and purification effects, the model can output reasonable separation and purification control suggestions when new component contents or parameter conditions are input, thus forming a carbon dioxide separation and purification agent to guide the operation and adjustment of actual systems.

[0053] The activated carbon dioxide separation and purification agent analyzes the component content data for separation and purification. By analyzing the component content data, the carbon dioxide separation and purification agent can determine the most suitable target separation and purification parameters for the current gas, including temperature, pressure, and flow rate, thus ensuring the best effect of the separation and purification process.

[0054] S4: Based on the target gas separation and purification parameters, control the multi-stage ammonia refrigeration coupling channel to perform carbon dioxide separation and purification, and monitor, optimize and regulate the carbon dioxide separation and purification process through the monitoring sensor group.

[0055] Furthermore, this application also includes: monitoring the carbon dioxide separation and purification process through the monitoring sensor group to obtain carbon dioxide separation and purification status data; constructing a gas-level regulation response mechanism based on the multi-stage ammonia refrigeration coupling channel; and optimizing closed-loop regulation of the carbon dioxide separation and purification status data based on the gas-level regulation response mechanism.

[0056] Furthermore, this application also includes: predicting the separation and purification effect of the carbon dioxide separation and purification status data to obtain gas separation and purification prediction effect parameters; triggering the gas graded regulation response mechanism to compare the expected gas separation and purification prediction effect parameters to determine gas separation and purification effect deviation parameters; performing optimization and correction analysis based on the gas separation and purification effect deviation parameters to obtain gas separation and purification correction amount, and performing optimization closed-loop regulation through the gas separation and purification correction amount.

[0057] Furthermore, this application also includes: initializing a PID separation and purification controller according to the multi-stage ammonia refrigeration coupling channel; optimizing and correcting the gas separation and purification effect deviation parameters based on the PID separation and purification controller, and outputting the gas separation and purification correction amount.

[0058] Specifically, carbon dioxide separation and purification are performed using a multi-stage ammonia refrigeration coupling channel controlled by target gas separation and purification parameters. These parameters include temperature setpoints, pressure control ranges, flow rate adjustment thresholds, and operating status commands for each stage of the refrigeration unit. The multi-stage ammonia refrigeration coupling channel achieves the step-by-step condensation, separation, and purification of carbon dioxide in the gas through different levels of refrigeration conditions. By inputting the target gas separation and purification parameters into the control system of the multi-stage ammonia refrigeration coupling channel, the refrigeration units, separation units, and purification units within the channel can work collaboratively according to the set temperature, pressure, and flow rate parameters, thereby efficiently completing the separation and purification process of carbon dioxide.

[0059] The carbon dioxide separation and purification process is monitored using a sensor array to obtain carbon dioxide separation and purification status data. The sensor array is used to collect information such as temperature, pressure, flow rate, phase changes, and component concentration in real time, thus comprehensively reflecting the operating status of the carbon dioxide separation and purification process. By monitoring the process, carbon dioxide separation and purification status data can be obtained, which characterizes the current separation efficiency, purification level, and equipment operating stability, providing fundamental data support for subsequent control.

[0060] A gas-level control response mechanism is constructed based on a multi-stage ammonia refrigeration coupling channel. This mechanism is a multi-level control mode built upon the structural characteristics of the multi-stage ammonia refrigeration coupling channel, used to trigger corresponding control strategies under different operating deviations or load changes. The multi-stage ammonia refrigeration coupling channel is divided into several control units, corresponding to refrigeration sections at different temperature levels and corresponding gas-liquid separation sections, enabling control responses of varying intensities, such as local adjustment or global optimization, based on actual state deviations.

[0061] The separation and purification effect is predicted based on the carbon dioxide separation and purification status data, resulting in predicted parameters for gas separation and purification effect. Through modeling analysis, the separation and purification effect over a future period can be calculated using prediction algorithms, thus forming predicted parameters for gas separation and purification effect, which characterize the carbon dioxide separation efficiency and purification degree achievable under the current control strategy.

[0062] The gas-stage control response mechanism is triggered to compare the predicted gas separation and purification effect parameters with the expected parameters, thus determining the deviation parameters of the gas separation and purification effect. The gas-stage control response mechanism is used to apply different levels of control strategies to different degrees of deviation. By invoking the gas-stage control response mechanism, the predicted gas separation and purification effect parameters are compared with the preset target effect. If a difference exists, the gas separation and purification effect deviation parameter can be quantified, representing the degree of deviation between the actual operating trend of the system and the expected effect.

[0063] Based on the multi-stage ammonia refrigeration coupling channel, a PID separation and purification controller is initialized. The PID separation and purification controller is a control device used to comprehensively regulate key parameters such as temperature, pressure, and flow rate during the separation and purification process using proportional, integral, and derivative parameters. The initialization process involves setting the controller's initial proportional coefficient, integral time constant, and derivative time constant based on the structural characteristics, thermodynamic laws, and dynamic response characteristics of each stage of the ammonia refrigeration coupling channel. This ensures that the controller can adapt to the multi-stage coupling behavior of the system and achieve stable process control.

[0064] The gas separation and purification effect deviation parameter is optimized and corrected based on the PID separation and purification controller, outputting the gas separation and purification correction amount. The gas separation and purification effect deviation parameter refers to the deviation data formed by the difference between the predicted effect and the target effect, used to quantify the degree of deviation of the current operating state from the target separation and purification performance. The PID separation and purification controller performs three adjustments on the gas separation and purification effect deviation parameter: proportional response, integral accumulation, and derivative prediction. This decomposes the deviation according to the system's dynamic characteristics into instantaneous response, cumulative compensation, and trend prediction, thus forming the gas separation and purification correction amount, used for real-time adjustment of cooling intensity, pressure setpoint, flow distribution, or the operating parameters of the purification unit.

[0065] By optimizing the closed-loop control through gas separation and purification correction, the separation and purification process can be corrected in real time, thereby forming a closed-loop control structure that continuously converges towards the target operating state and improves the stability of separation and purification effects.

[0066] In summary, the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling provided in this application has the following technical effects: by achieving the technical goals of adaptive separation and purification parameter control, real-time deviation identification and correction, and dynamic steady-state maintenance of the separation and purification process for the multi-stage ammonia refrigeration coupling channel, it achieves the technical effects of improving separation efficiency, reducing refrigeration energy consumption, maintaining high purity output, and ensuring long-term stable operation under complex working conditions.

[0067] Example 2: Based on the same inventive concept as the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling in the previous examples, this application also provides a carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling. Please refer to the appendix. Figure 2 The system includes: a component content data acquisition module 1, used to introduce the gas to be treated containing carbon dioxide into a gas pretreatment device for pretreatment to obtain usable carbon dioxide-containing gas, and to acquire the component content data of the usable carbon dioxide-containing gas; a monitoring sensor group deployment module 2, used to construct a multi-stage ammonia refrigeration coupling channel, which consists of multiple ammonia refrigeration cycle units, gas-liquid separation units, and purification units at different temperature levels, wherein the ammonia refrigeration cycle units at each stage are connected sequentially by pipes, and a monitoring sensor group is deployed on the multi-stage ammonia refrigeration coupling channel; a separation and purification parameter determination module 3, used to create a carbon dioxide separation and purification intelligent agent based on the multi-stage ammonia refrigeration coupling channel, activate the carbon dioxide separation and purification intelligent agent to perform separation, purification, and analysis of the component content data, and determine the target gas separation and purification parameters; and a monitoring, optimization, and control module 4, used to control the multi-stage ammonia refrigeration coupling channel to perform carbon dioxide separation and purification based on the target gas separation and purification parameters, and to monitor, optimize, and control the carbon dioxide separation and purification process through the monitoring sensor group.

[0068] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used for: the gas pretreatment device includes a filter, a dryer, and a pressure regulating valve, wherein the filter, dryer, and pressure regulating valve are connected in sequence; introducing the gas to be treated containing carbon dioxide into the gas pretreatment device, filtering the introduced gas containing carbon dioxide through the filter to obtain a first-stage carbon dioxide-containing gas; using the dryer to adsorb and dry the first-stage carbon dioxide-containing gas to obtain a second-stage carbon dioxide-containing gas; and adjusting the second-stage carbon dioxide-containing gas according to a preset pressure threshold based on the pressure regulating valve to obtain usable carbon dioxide-containing gas.

[0069] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used for: performing historical data mining based on the multi-stage ammonia refrigeration coupling channels to obtain an ammonia refrigeration carbon dioxide separation and purification dataset, which includes historical carbon dioxide component content data, gas separation and purification parameters, and corresponding separation and purification effect data; obtaining carbon dioxide separation and purification targets, performing index extraction and fitting on the carbon dioxide separation and purification targets, and constructing a gas separation and purification effect evaluation function; using the gas separation and purification effect evaluation function to evaluate and optimize the effect of the ammonia refrigeration carbon dioxide separation and purification dataset to obtain a usable gas separation and purification dataset; and performing separation and purification coupling training based on the usable gas separation and purification dataset to create a carbon dioxide separation and purification agent.

[0070] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used for: extracting evaluation indicators for the carbon dioxide separation and purification target to obtain a set of gas separation and purification effect evaluation indicators; using the ammonia refrigeration carbon dioxide separation and purification dataset to perform effect correlation analysis on each indicator in the set of gas separation and purification effect evaluation indicators to obtain a set of correlation coefficients for separation and purification effect indicators; assigning indicator weights based on the set of correlation coefficients for separation and purification effect indicators to determine a set of weight coefficients for separation and purification effect indicators; and performing multivariate weighted fitting on the set of gas separation and purification effect evaluation indicators according to the set of weight coefficients for separation and purification effect indicators to construct a gas separation and purification effect evaluation function.

[0071] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used for: designing a generative adversarial network (GAN), which includes a generator and a discriminator; using the GAN to augment the available gas separation and purification dataset to obtain an augmented gas separation and purification dataset; identifying the component content and purification parameters of the augmented gas separation and purification dataset to obtain a gas separation and purification sample set; and using a deep neural network to couple and train the gas separation and purification sample set to create a carbon dioxide separation and purification agent.

[0072] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used for: obtaining carbon dioxide component content data and corresponding optimal gas separation and purification parameters based on the available gas separation and purification dataset; using the discriminator to perform discrimination training on the carbon dioxide component content data and corresponding optimal gas separation and purification parameters to generate a gas discriminator; constructing a data augmentation generation strategy, training the generator according to the data augmentation generation strategy to obtain a gas generator; performing iterative alternating training on the gas discriminator and the gas discriminator to determine the separation and purification generator, and using the separation and purification generator to augment and expand the available gas separation and purification dataset to obtain an expanded gas separation and purification dataset.

[0073] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used for: monitoring the carbon dioxide separation and purification process through the monitoring sensor group to obtain carbon dioxide separation and purification status data; constructing a gas graded regulation response mechanism based on the multi-stage ammonia refrigeration coupling channel; and optimizing closed-loop regulation of the carbon dioxide separation and purification status data based on the gas graded regulation response mechanism.

[0074] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used for: predicting the separation and purification effect of the carbon dioxide separation and purification state data to obtain gas separation and purification prediction effect parameters; triggering the gas graded regulation response mechanism to compare the expected gas separation and purification prediction effect parameters to determine the gas separation and purification effect deviation parameters; performing optimization and correction analysis based on the gas separation and purification effect deviation parameters to obtain the gas separation and purification correction amount, and performing optimization closed-loop regulation through the gas separation and purification correction amount.

[0075] Furthermore, the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling is also used to: initialize a PID separation and purification controller according to the multi-stage ammonia refrigeration coupling channel; optimize and correct the deviation parameters of the gas separation and purification effect based on the PID separation and purification controller, and output the gas separation and purification correction amount.

[0076] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The carbon dioxide separation and purification method and specific examples based on multi-stage ammonia refrigeration coupling in the foregoing embodiment 1 are also applicable to the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling in this embodiment. Through the foregoing detailed description of the carbon dioxide separation and purification method based on multi-stage ammonia refrigeration coupling, those skilled in the art can clearly understand the carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0077] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0078] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling, characterized in that, The method comprises: Introducing the carbon dioxide-containing gas to be treated into a gas pretreatment device for pretreatment to obtain a usable carbon dioxide-containing gas, and collecting component content data of the usable carbon dioxide-containing gas; A multi-stage ammonia refrigeration coupling channel is constructed, which is composed of a plurality of ammonia refrigeration cycle units of different temperature levels, a gas-liquid separation unit and a purification unit, wherein the ammonia refrigeration cycle units at different levels are connected in sequence through pipelines, and a monitoring sensor group is arranged on the multi-stage ammonia refrigeration coupling channel; A carbon dioxide separation and purification intelligent agent is created based on the multi-stage ammonia refrigeration coupling channel, the carbon dioxide separation and purification intelligent agent is activated to analyze the component content data, and target gas separation and purification parameters are determined; The multi-stage ammonia refrigeration coupling channel is controlled based on the target gas separation and purification parameters to perform carbon dioxide separation and purification, and the carbon dioxide separation and purification process is monitored and optimized by the monitoring sensor group.

2. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 1, characterized in that, The usable carbon dioxide-containing gas is obtained, comprising: The gas pretreatment device comprises a filter, a dryer and a pressure regulating valve, wherein the filter, the dryer and the pressure regulating valve are sequentially connected in order; The carbon dioxide-containing gas to be treated is introduced into the gas pretreatment device, the carbon dioxide-containing gas introduced into the gas pretreatment device is filtered by the filter to obtain a first-stage carbon dioxide-containing gas; The first-stage carbon dioxide-containing gas is adsorbed and dried by the dryer to obtain a second-stage carbon dioxide-containing gas; The second-stage carbon dioxide-containing gas is adjusted based on the preset pressure threshold of the pressure regulating valve to obtain the usable carbon dioxide-containing gas.

3. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 1, characterized in that, The carbon dioxide separation and purification intelligent agent is created based on the multi-stage ammonia refrigeration coupling channel, comprising: Based on the multi-stage ammonia refrigeration coupling channel, historical data mining is performed to obtain an ammonia refrigeration carbon dioxide separation and purification data set, which includes historical carbon dioxide component content data, gas separation and purification parameters and corresponding separation and purification effect data; The carbon dioxide separation and purification target is obtained, and index extraction fitting is performed on the carbon dioxide separation and purification target to construct a gas separation and purification effect evaluation function; The ammonia refrigeration carbon dioxide separation and purification data set is evaluated and optimized by using the gas separation and purification effect evaluation function to obtain a usable gas separation and purification data set; Based on the usable gas separation and purification data set, separation and purification coupling training is performed to create a carbon dioxide separation and purification intelligent agent.

4. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 3, characterized in that, The gas separation and purification effect evaluation function is constructed, comprising: Evaluation index extraction is performed on the carbon dioxide separation and purification target to obtain a gas separation and purification effect evaluation index set; Effect correlation analysis is performed on each index in the gas separation and purification effect evaluation index set by using the ammonia refrigeration carbon dioxide separation and purification data set to obtain a separation and purification effect index correlation coefficient set; Based on the separation and purification effect index correlation coefficient set, index weight distribution is performed to determine a separation and purification effect index weight coefficient set; According to the separation and purification effect index weight coefficient set, the gas separation and purification effect evaluation index set is subjected to multiple weighted fitting, and a gas separation and purification effect evaluation function is constructed.

5. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 3, characterized in that, Based on the available gas separation and purification data set, a separation and purification coupling training is performed to create a carbon dioxide separation and purification agent, including: A generative adversarial network is designed, which includes a generator and a discriminator; The available gas separation and purification data set is enhanced and expanded using the generative adversarial network to obtain a gas separation and purification expanded data set; The gas separation and purification expanded data set is subjected to component content and purification parameter sample identification to obtain a gas separation and purification sample set; A deep neural network is used to couple and optimize the training of the gas separation and purification sample set to create a carbon dioxide separation and purification agent.

6. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 5, characterized in that, The gas separation and purification expanded data set is obtained, including: According to the available gas separation and purification data set, carbon dioxide component content data and corresponding optimal gas separation and purification parameters are obtained; The discriminator is used to discriminate and train the carbon dioxide component content data and the corresponding optimal gas separation and purification parameters to generate a gas discriminator; A data enhancement generation strategy is constructed, and the generator is trained according to the data enhancement generation strategy to obtain a gas generator; The gas discriminator and the gas discriminator are iteratively trained alternately to determine a separation and purification generator, and the available gas separation and purification data set is enhanced and expanded by the separation and purification generator to obtain a gas separation and purification expanded data set.

7. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 1, characterized in that, The carbon dioxide separation and purification process is monitored and optimized by the monitoring sensor group, including: The carbon dioxide separation and purification process is monitored by the monitoring sensor group to obtain carbon dioxide separation and purification state data; According to the multi-stage ammonia refrigeration coupling channel, a gas grading control response mechanism is constructed; Based on the gas grading control response mechanism, the carbon dioxide separation and purification state data is optimized and closed-loop controlled.

8. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 7, characterized in that, Based on the gas grading control response mechanism, the carbon dioxide separation and purification state data is optimized and closed-loop controlled, including: The carbon dioxide separation and purification state data is subjected to separation and purification effect prediction to obtain gas separation and purification prediction effect parameters; The gas grading control response mechanism is triggered to compare the gas separation and purification prediction effect parameters to determine the gas separation and purification effect deviation parameters; Based on the gas separation and purification effect deviation parameters, an optimization correction analysis is performed to obtain a gas separation and purification correction amount, and the gas separation and purification correction amount is used for optimization closed-loop control.

9. The method for separating and purifying carbon dioxide based on multi-stage ammonia refrigeration coupling according to claim 8, characterized in that, The gas separation and purification correction amount is obtained, including: According to the multi-stage ammonia refrigeration coupling channel, a PID separation and purification controller is initialized; Based on the PID separation and purification controller, the gas separation and purification effect deviation parameters are optimized and corrected to output the gas separation and purification correction amount.

10. A carbon dioxide separation and purification system based on multi-stage ammonia refrigeration coupling, characterized in that, The steps of the method for implementing the multi-stage ammonia refrigeration coupling based carbon dioxide separation and purification method of any one of claims 1 to 9, including: The component content data acquisition module is configured to introduce the carbon dioxide-containing gas to be treated into a gas pretreatment device for pretreatment, to obtain a usable carbon dioxide-containing gas, and to acquire component content data of the usable carbon dioxide-containing gas. The monitoring sensor group arrangement module is configured to construct a multi-stage ammonia refrigeration coupling channel composed of ammonia refrigeration circulation units of different temperature levels, a gas-liquid separation unit, and a purification unit. The ammonia refrigeration circulation units of different levels are connected in sequence through pipelines, and a monitoring sensor group is arranged on the multi-stage ammonia refrigeration coupling channel. The separation and purification parameter determination module is configured to create a carbon dioxide separation and purification agent based on the multi-stage ammonia refrigeration coupling channel, activate the carbon dioxide separation and purification agent to analyze the component content data, and determine target gas separation and purification parameters. The monitoring and optimization control module is configured to control the multi-stage ammonia refrigeration coupling channel to perform carbon dioxide separation and purification based on the target gas separation and purification parameters, and monitor and optimize the control of the carbon dioxide separation and purification process through the monitoring sensor group.

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