Automatic control system of alkali shrinkage machine

Abstract

The invention relates to the field of mechanical engineering, and discloses an automatic control system of an alkali shrinkage machine, which comprises an alkali liquor concentration analysis module, a product state analysis module, a parameter optimization module, a product washing module and a fulling milling control module. Constructing a material identification module of the alkali shrinkage machine, identifying the material type of the to-be-processed product corresponding to the alkali shrinkage machine, and adjusting the alkali liquor concentration of the alkali shrinkage machine; determining initial process parameters of the alkali shrinkage machine, constructing a process monitoring module of the alkali shrinkage machine, collecting real-time process data of the alkali shrinkage machine, and analyzing the product state of the to-be-processed product; identifying abnormal factors of the alkali shrinkage machine, adjusting the initial process parameters, analyzing the adjusted product state of the to-be-treated product, and outputting an alkali treatment product of the alkali shrinkage machine; determining a washing exchange substance of the alkali treatment product, analyzing the alkali liquor content of the alkali treatment product, calculating the substance exchange amount of the washing exchange substance, washing the alkali treatment product, calculating fulling reaction parameters of the washed product, and performing fulling treatment on the washed product to obtain a target product. The intelligent control effect of the alkali shrinkage machine can be improved.

Description

Technical Field

[0001] The invention relates to the field of mechanical engineering, and in particular to an automatic control system of an alkali shrink machine. Background Art

[0002] Alkali shrinkage machine is an important equipment commonly used in chemical, pharmaceutical and other industries. Its main function is to carry out alkali treatment and condensation reaction on materials. The operation of alkali shrinkage machine may involve high temperature, high pressure and corrosive chemicals. Automatic control can reduce the direct contact between operators and dangerous environment and improve the safety of the workplace.

[0003] At present, the control method of alkali shrink machine mainly relies on manual operation and simple electrical control. This control method requires the operator to have high skills and experience, and is easily affected by human factors, resulting in low control accuracy and slow response speed, thus leading to low production efficiency. Summary of the invention

[0004] The invention provides an automatic control system for an alkali shrinking machine, the main purpose of which is to improve the intelligent control effect of the alkali shrinking machine.

[0005] To achieve the above-mentioned purpose, the present invention provides an automatic control system for an alkali shrinking machine, comprising: an alkali solution concentration analysis module, a product state analysis module, a parameter optimization module, a product washing module and a shrinking control module;

[0006] The alkali solution concentration analysis module is used to construct a material identification module for an alkali shrinking machine, and based on the material identification module, identifies the material type of the product to be processed corresponding to the alkali shrinking machine, determines the alkali solution concentration requirement of the alkali shrinking machine according to the material type, and adjusts the alkali solution concentration of the alkali shrinking machine using a preset concentration control algorithm based on the alkali solution concentration requirement;

[0007] The product status analysis module is used to obtain the historical working data of the alkali shrinking machine, determine the initial process parameters of the alkali shrinking machine according to the historical working data, configure the sensor network of the alkali shrinking machine, build the process monitoring module of the alkali shrinking machine based on the sensor network, collect the real-time process data of the alkali shrinking machine based on the process monitoring module, and analyze the product status of the product to be processed based on the real-time process data and the trained product alkali treatment analysis model;

[0008] The parameter optimization module is used to identify the abnormal factors of the alkali shrinkage machine when the product state does not meet the preset product standard state, adjust the initial process parameters according to the abnormal factors to obtain the adjusted process parameters, analyze the adjusted product state of the product to be processed according to the adjusted process parameters, and output the alkali-treated product of the alkali shrinkage machine when the adjusted product state meets the product standard state;

[0009] The product washing module is used to determine the washing exchange material of the alkali-treated product, analyze the alkali solution content of the alkali-treated product, calculate the material exchange amount of the washing exchange material according to the alkali solution content, and wash the alkali-treated product according to the material exchange amount to obtain a washed product;

[0010] The shrinkage control module is used to analyze the shrinkage demand of the alkali shrinkage machine, configure the shrinkage liquid of the washed product based on the shrinkage demand, calculate the shrinkage reaction parameters of the washed product, and perform shrinkage treatment on the washed product based on the shrinkage reaction parameters and the shrinkage liquid to obtain the target product.

[0011] The embodiment of the present invention can automatically identify the material type by constructing a material identification module for the alkali shrinking machine, reduce manual intervention, improve the automation level of the production line, and realize intelligent production; optionally, the embodiment of the present invention can optimize the processing effect of the material by adjusting the alkali concentration of the alkali shrinking machine based on the alkali concentration requirement using a preset concentration control algorithm, reduce processing defects caused by improper concentration, and reduce the defective rate; the embodiment of the present invention can quickly identify process deviations by collecting real-time process data of the alkali shrinking machine based on the process monitoring module, and take timely measures to prevent accidents; the embodiment of the present invention can detect the product status when it does not meet the expected When the product is in the standard state, the abnormal factors of the alkali shrinking machine can be identified and adjusted to ensure that the quality of the final product meets the preset standard and reduce the production of unqualified products. The embodiment of the present invention calculates the material exchange amount of the water washing exchange material according to the alkali solution content, and can accurately calculate the required material exchange amount to ensure that the water washing process effectively removes the alkali solution and avoids excessive or insufficient treatment. Finally, the embodiment of the present invention performs a shrinking treatment on the washed product based on the shrinking reaction parameters and the shrinking liquid to obtain the target product, which can reduce errors in the processing process, reduce the defective rate, and improve production efficiency. Therefore, the intelligent control effect of the alkali shrinking machine is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A functional module diagram of an automatic control system of an alkali shrinking machine provided by one embodiment of the present invention;

[0013] Figure 2 A schematic flow chart of an automatic control method for an alkali shrinking machine provided in one embodiment of the present invention;

[0014] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] In addition, the step sequence in the following method embodiments is only an example and not a strict limitation.

[0017] In fact, the server-side device deployed by the automatic control system of the alkali shrinking machine may be composed of one or more devices. The automatic control system of the above-mentioned alkali shrinking machine can be implemented as: business instance, virtual machine, hardware device. For example, the automatic control system of the alkali shrinking machine can be implemented as a business instance deployed on one or more devices in the cloud node. In simple terms, the automatic control system of the alkali shrinking machine can be understood as a kind of software deployed on the cloud node, which is used to provide the automatic control service of the alkali shrinking machine to each user end. Alternatively, the automatic control system of the alkali shrinking machine can also be implemented as a virtual machine deployed on one or more devices in the cloud node. Application software for managing each user end is installed in the virtual machine. Alternatively, the automatic control system of the alkali shrinking machine can also be implemented as a server-side composed of many hardware devices of the same or different types, and one or more hardware devices are set to provide the automatic control service of the alkali shrinking machine to each user end.

[0018] In terms of implementation, the automatic control system of the alkali shrinking machine and the user end are adapted to each other. That is, the automatic control system of the alkali shrinking machine is an application installed on the cloud service platform, and the user end is a client that establishes a communication connection with the application; or the automatic control system of the alkali shrinking machine is implemented as a website, and the user end is implemented as a web page; or the automatic control system of the alkali shrinking machine is implemented as a cloud service platform, and the user end is implemented as a small program in an instant messaging application.

[0019] Reference Figure 1 1 is a functional module diagram of an automatic control system of an alkali shrink machine provided in one embodiment of the present invention.

[0020] The automatic control system 100 of the alkali shrinking machine of the present invention can be arranged in a cloud server. In terms of implementation, it can be used as one or more service devices, or it can be installed as an application in the cloud (for example, a server, a server cluster, etc. of the automatic control of the alkali shrinking machine), or it can also be developed as a website. According to the functions implemented, the automatic control system 100 of the alkali shrinking machine includes an alkali solution concentration analysis module 101, a product state analysis module 102, a parameter optimization module 103, a product washing module 104 and a shrinking control module 105.

[0021] In the embodiment of the present invention, in the tracking of the automatic control based on the alkali shrinking machine, each of the above modules can be realized independently, and called with other modules. The call here can be understood as that a certain module can connect multiple modules of another type, and provide corresponding services for the multiple modules connected thereto, in the automatic control system of the alkali shrinking machine provided by the embodiment of the present invention, without modifying the program code, the scope of application of the automatic control framework of the alkali shrinking machine can be adjusted by increasing the module and directly calling the form, and cluster-type horizontal expansion is realized, so as to reach the purpose of the automatic control system of the alkali shrinking machine that is quickly and flexibly expanded. In practical applications, the above modules can be arranged in the same device or different devices, or can be arranged in a virtual device, such as a service instance in a cloud server.

[0022] In the following, in conjunction with specific embodiments, each component of the automatic control system of the alkali shrink machine and the specific work flow are described respectively.

[0023] The alkali solution concentration analysis module 101 is used to construct a material identification module for an alkali shrinking machine. Based on the material identification module, the material type of the product to be processed by the alkali shrinking machine is identified. According to the material type, the alkali solution concentration requirement of the alkali shrinking machine is determined. Based on the alkali solution concentration requirement, the alkali solution concentration of the alkali shrinking machine is adjusted using a preset concentration control algorithm.

[0024] The embodiment of the present invention can automatically identify the material type by constructing a material identification module of the alkali shrink machine, reduce manual intervention, improve the automation level of the production line, and realize intelligent production. The material identification module refers to a hardware and software complex integrated in the alkali shrink machine system, and its main function is to identify and confirm the type of the product to be processed.

[0025] As an embodiment of the present invention, the material identification module for constructing the alkali shrinkage machine includes:

[0026] Constructing an identification module framework of the alkali shrink machine and determining a material database of the identification module framework;

[0027] A data acquisition unit is configured for the identification module framework, and based on the data acquisition unit, material data of the product to be processed corresponding to the alkali shrinking machine is collected;

[0028] defining a data matching algorithm for the recognition module framework, and matching the material data with the material database according to the data matching algorithm to obtain a material matching degree;

[0029] Determining a material type analysis unit of the recognition module framework according to the material matching degree;

[0030] The material type analysis unit, the data acquisition unit and the data matching algorithm are integrated into the identification module framework to obtain the material identification module of the alkali shrink machine.

[0031] Among them, the identification module framework refers to an architecture for alkali shrink machine material identification, which includes all necessary components and interfaces to realize the function of material identification. The material database refers to a database specifically used to store and manage the characteristics of materials to be processed. The data acquisition unit refers to the part of the alkali shrink machine material identification module responsible for collecting information related to the materials to be processed. The material data refers to a series of characteristic information obtained from the materials to be processed by the data acquisition unit, which is used to characterize the properties of the material, so as to facilitate the material identification module to identify and analyze. The data matching algorithm refers to an algorithm used to compare the input material data with the data in the known material database to identify and determine the material type. The material matching degree refers to the similarity or consistency between the input material data calculated by the data matching algorithm and a certain material standard data in the known material database when identifying the material. The material type analysis unit refers to a key component in the material identification module, whose function is to analyze and determine the type of the input material.

[0032] Optionally, the data matching algorithm defining the recognition module framework may be defined by a machine learning algorithm.

[0033] The embodiment of the present invention can quickly and accurately identify the material type of the product to be processed by the alkali shrinking machine based on the material identification module, so that the alkali shrinking machine can immediately adjust to the appropriate processing parameters, shorten the preparation time, and improve the processing efficiency. The material type refers to the various types of materials used for the product to be processed during the alkali shrinking machine processing.

[0034] The embodiment of the present invention can ensure that each material can achieve the best processing effect by determining the alkali concentration requirement of the alkali shrinking machine according to the material type and accurately controlling the alkali concentration. The alkali concentration requirement refers to the concentration range of the alkali solution (usually sodium hydroxide or potassium hydroxide solution) that needs to be maintained in order to achieve a specific material processing effect (such as shrinkage, softening, degreasing, bleaching, etc.) during the alkali shrinking machine processing.

[0035] Optionally, as an embodiment of the present invention, the alkali solution concentration requirement of the alkali shrinkage machine determined according to the material type can be determined by chemical kinetic simulation.

[0036] The embodiment of the present invention can optimize the processing effect of the material by adjusting the alkali concentration of the alkali shrink machine using a preset concentration control algorithm based on the alkali concentration requirement, reduce processing defects caused by improper concentration, and reduce the defective rate. Among them, the preset concentration control algorithm adjustment refers to a set of pre-designed programs or instruction sets for automatically adjusting the alkali concentration in the alkali shrink machine. The alkali concentration refers to the concentration of the active ingredient (usually sodium hydroxide NaOH or potassium hydroxide KOH) in the alkali solution, usually expressed as mass percentage (mass fraction) or molar concentration.

[0037] As an embodiment of the present invention, the alkali concentration of the alkali shrink machine is adjusted based on the alkali concentration requirement by using a preset concentration control algorithm, including:

[0038] Collecting the real-time alkali solution concentration of the alkali shrink machine, and calculating the concentration error between the alkali solution concentration requirement and the real-time alkali solution concentration;

[0039] Determining algorithm parameters of the concentration control algorithm, wherein the algorithm parameters include: a proportional gain coefficient, an integral gain coefficient, and a differential gain coefficient;

[0040] According to the concentration error and the algorithm parameters, the concentration control signal of the alkali shrink machine is calculated using the following formula:

[0041]

[0042] Among them, h(t) represents the concentration control signal at time t, t represents the collection time corresponding to the real-time alkali solution concentration, B represents the proportional gain coefficient, W(t) represents the concentration error at time t, F represents the integral gain coefficient, △t represents the collection time interval, W(c) represents the concentration error at time c, and V represents the differential gain coefficient.

[0043] W(t-1) represents the concentration error at time t-1;

[0044] The alkali concentration of the alkali shrink machine is adjusted according to the concentration control signal.

[0045] Wherein, the real-time alkali solution concentration refers to the actual concentration value of the alkali solution measured and obtained in real time during the processing process by the sensor or detection equipment installed in the alkali shrink machine system. The concentration error refers to the deviation between the actually measured alkali solution concentration and the target alkali solution concentration. The algorithm parameters refer to various configurable variables used to adjust and control the algorithm behavior in the concentration control algorithm. The proportional gain coefficient refers to the gain of the proportional part of the controller in the control system. The integral gain coefficient refers to the gain of the integral part of the controller in the control system. The differential gain coefficient refers to the gain of the differential part of the controller in the control system. The concentration control signal refers to the command signal generated by the controller in the concentration control system for adjusting the process to maintain or change the alkali solution concentration.

[0046] The product status analysis module 102 is used to obtain the historical working data of the alkali shrinkage machine, determine the initial process parameters of the alkali shrinkage machine based on the historical working data, configure the sensor network of the alkali shrinkage machine, and build a process monitoring module of the alkali shrinkage machine based on the sensor network. Based on the process monitoring module, real-time process data of the alkali shrinkage machine is collected, and based on the real-time process data, the product status of the product to be processed is analyzed using a trained product alkali treatment analysis model.

[0047] The embodiment of the present invention can establish the relationship between product quality and process parameters by acquiring the historical working data of the alkali shrinking machine, so as to better control product quality in real-time production. The historical working data refers to a series of data records accumulated during the past operation of the alkali shrinking machine.

[0048] The embodiment of the present invention can help set the best initial parameters to stabilize and ensure product quality by determining the initial process parameters of the alkali shrink machine according to the historical working data. The initial process parameters refer to a set of process parameters set when the alkali shrink machine is first started or a new production batch is started, such as temperature, pressure, flow rate, etc.

[0049] As an embodiment of the present invention, determining the initial process parameters of the alkali shrink machine according to the historical working data includes:

[0050] Preprocessing the historical working data to obtain preprocessed data;

[0051] Identify key process parameters of the preprocessed data, and analyze the influence relationship between the key process parameters and the quality of the corresponding product of the alkali shrink machine;

[0052] The correlation coefficient between the key process parameters was calculated using the following formula:

[0053]

[0054] Where μ represents the correlation coefficient between key process parameters, n represents the number of groups of preprocessed data, and α i represents one of the key process parameters α, β corresponding to the i-th group of preprocessing data i represents another key process parameter β corresponding to the i-th group of pre-processing data;

[0055] Analyzing the interdependence between the key process parameters according to the correlation coefficient;

[0056] According to the interdependence and the influence relationship, the initial process parameters of the alkali shrink machine are determined.

[0057] Wherein, the pre-processed data refers to a data set after a series of data pre-processing steps (data cleaning, data conversion, etc.). The key process parameters refer to process variables that have a significant impact on product quality, efficiency and safety. The influence relationship refers to the causal relationship or correlation between the key process parameters and the corresponding product quality of the alkali shrink machine. The correlation coefficient refers to a statistic used to measure the strength and direction of the linear relationship between two variables. The interdependence relationship refers to the correlation between two or more variables, which indicates that the change of one variable may affect the change of another variable.

Claims

1. An automatic control system for an alkali shrink machine, characterized in that: The automatic control of the alkali shrinking machine of the system includes: an alkali solution concentration analysis module, a product status analysis module, a parameter optimization module, a product washing module and a shrinking control module; The alkali solution concentration analysis module is used to construct a material identification module for an alkali shrinking machine, and based on the material identification module, identifies the material type of the product to be processed corresponding to the alkali shrinking machine, determines the alkali solution concentration requirement of the alkali shrinking machine according to the material type, and adjusts the alkali solution concentration of the alkali shrinking machine using a preset concentration control algorithm based on the alkali solution concentration requirement; The product status analysis module is used to obtain the historical working data of the alkali shrinking machine, determine the initial process parameters of the alkali shrinking machine according to the historical working data, configure the sensor network of the alkali shrinking machine, build the process monitoring module of the alkali shrinking machine based on the sensor network, collect the real-time process data of the alkali shrinking machine based on the process monitoring module, and analyze the product status of the product to be processed based on the real-time process data and the trained product alkali treatment analysis model; The parameter optimization module is used to identify the abnormal factors of the alkali shrinkage machine when the product state does not meet the preset product standard state, adjust the initial process parameters according to the abnormal factors to obtain the adjusted process parameters, analyze the adjusted product state of the product to be processed according to the adjusted process parameters, and output the alkali-treated product of the alkali shrinkage machine when the adjusted product state meets the product standard state; The product washing module is used to determine the washing exchange material of the alkali-treated product, analyze the alkali solution content of the alkali-treated product, calculate the material exchange amount of the washing exchange material according to the alkali solution content, and wash the alkali-treated product according to the material exchange amount to obtain a washed product; The shrinkage control module is used to analyze the shrinkage demand of the alkali shrinkage machine, configure the shrinkage liquid of the washed product based on the shrinkage demand, calculate the shrinkage reaction parameters of the washed product, and perform shrinkage treatment on the washed product based on the shrinkage reaction parameters and the shrinkage liquid to obtain the target product.

2. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: The calculating the proportion of the raw materials includes: The material identification module for constructing the alkali shrinkage machine includes: Constructing an identification module framework of the alkali shrink machine and determining a material database of the identification module framework; A data acquisition unit is configured for the identification module framework, and based on the data acquisition unit, material data of the product to be processed corresponding to the alkali shrinking machine is collected; defining a data matching algorithm for the recognition module framework, and matching the material data with the material database according to the data matching algorithm to obtain a material matching degree; Determining a material type analysis unit of the recognition module framework according to the material matching degree; The material type analysis unit, the data acquisition unit and the data matching algorithm are integrated into the identification module framework to obtain the material identification module of the alkali shrink machine.

3. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: The method of adjusting the alkali concentration of the alkali shrink machine by using a preset concentration control algorithm based on the alkali concentration requirement includes: Collecting the real-time alkali solution concentration of the alkali shrink machine, and calculating the concentration error between the alkali solution concentration requirement and the real-time alkali solution concentration; Determining algorithm parameters of the concentration control algorithm, wherein the algorithm parameters include: a proportional gain coefficient, an integral gain coefficient, and a differential gain coefficient; Calculating a concentration control signal of the alkali shrink machine according to the concentration error and the algorithm parameters; The alkali concentration of the alkali shrink machine is adjusted according to the concentration control signal.

4. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: Determining the initial process parameters of the alkali shrink machine according to the historical working data includes: Preprocessing the historical working data to obtain preprocessed data; Identify the key process parameters of the preprocessing data, and analyze the influence relationship between the key process parameters and the quality of the corresponding product of the alkali shrink machine; Calculating correlation coefficients between the key process parameters; Analyzing the interdependence between the key process parameters according to the correlation coefficient; According to the interdependence and the influence relationship, the initial process parameters of the alkali shrink machine are determined.

5. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: The process monitoring module of the alkali shrink machine is constructed based on the sensor network, including: Clarify the monitoring frequency and alarm threshold of the alkali shrinking machine, and construct a data processing unit of the alkali shrinking machine; Determining a transmission mechanism of the sensor network and the data processing unit according to the monitoring frequency; Defining a data processing algorithm of the data processing unit, and determining real-time presentation data of the data processing unit based on the data processing algorithm; Determining a safety early warning mechanism of the alkali shrink machine according to the real-time presentation data and the alarm threshold; A data storage repository and a system log of the alkali shrinking machine are constructed, and a process monitoring module of the alkali shrinking machine is integrated according to the data storage repository, the system log, the transmission mechanism, the data processing unit and the safety early warning mechanism.

6. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: The method of analyzing the product status of the product to be treated based on the real-time process data and using the trained product alkali treatment analysis model comprises: Standardizing the real-time process data to obtain standardized data; Extracting data features of the standardized data; Analyzing model parameters of the product alkali treatment analysis model; Based on the data features and the model parameters, the product status of the product to be processed is calculated.

7. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: The step of adjusting the initial process parameters according to the abnormal factors to obtain the adjusted process parameters includes: Analyze the influence of the abnormal factor on the product status corresponding to the abnormal factor; According to the degree of influence, determining the adjustment target and adjustment sequence of the initial process parameters; Defining a parameter optimization algorithm for the initial process parameters, and determining an adjustment range of the initial process parameters according to the parameter optimization algorithm; The initial process parameters are adjusted according to the adjustment range, the adjustment target and the adjustment sequence to obtain adjusted process parameters.

8. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: The method of calculating the material exchange amount of the water-wash exchange material according to the alkali solution content comprises: Analyzing the diffusion coefficient of the water wash exchange material and the wash solution concentration; According to the alkali content, analyzing the alkali contamination degree and alkali diffusion distance of the alkali-treated product corresponding to the water-wash exchange material; The material exchange amount of the water washing exchange material is calculated according to the diffusion coefficient, the degree of contamination of the alkali solution, the diffusion distance of the alkali solution and the concentration of the washing solution.

9. The automatic control system of the alkali shrink machine according to claim 1, characterized in that: The method of configuring the shrinkage liquid of the washed product based on the shrinkage requirement includes: Determine the milling agent, auxiliary agent and softener for the washing product according to the milling requirement; Calculating the mass ratio of the milling agent, the milling agent and the softening agent; Based on the mass ratio, the milling agent, the milling agent and the softener are mixed to obtain a mixed solvent; Analyzing the pH value of the mixed solvent, and adjusting the mixed solvent according to the pH value and a preset pH value threshold to obtain an adjusted solvent; According to the concentration requirement corresponding to the milling requirement, the adjusted solvent is diluted to obtain the milling liquid.

10. An automatic control method for an alkali shrink machine, characterized in that: The method comprises: Constructing a material identification module for an alkali shrinking machine, identifying the material type of the product to be processed by the alkali shrinking machine based on the material identification module, determining the alkali concentration requirement of the alkali shrinking machine according to the material type, and adjusting the alkali concentration of the alkali shrinking machine using a preset concentration control algorithm based on the alkali concentration requirement; Acquire historical working data of the alkali shrinking machine, determine initial process parameters of the alkali shrinking machine according to the historical working data, configure a sensor network of the alkali shrinking machine, build a process monitoring module of the alkali shrinking machine based on the sensor network, collect real-time process data of the alkali shrinking machine based on the process monitoring module, and analyze the product status of the product to be processed based on the real-time process data and using a trained product alkali treatment analysis model; When the product state does not meet the preset product standard state, identifying the abnormal factors of the alkali shrinkage machine, adjusting the initial process parameters according to the abnormal factors to obtain the adjusted process parameters, analyzing the adjusted product state of the product to be processed according to the adjusted process parameters, and outputting the alkali-treated product of the alkali shrinkage machine when the adjusted product state meets the product standard state; Determining the water-washing exchange material of the alkali-treated product, analyzing the alkali solution content of the alkali-treated product, calculating the material exchange amount of the water-washing exchange material according to the alkali solution content, and washing the alkali-treated product according to the material exchange amount to obtain a water-washed product; The shrinkage requirements of the alkali shrinking machine are analyzed, and based on the shrinkage requirements, the shrinkage liquid of the washed product is configured, and the shrinkage reaction parameters of the washed product are calculated. Based on the shrinkage reaction parameters and the shrinkage liquid, the washed product is subjected to a shrinkage treatment to obtain a target product.

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