Polymerization drying control method and related equipment

By model training and real-time parameter processing of the drying tower parameter set of the material drying device, the automatic control of the drying system is achieved, and the complexity and inefficiency caused by manual control in the prior art is solved, and the drying efficiency and control are improved Accuracy.

CN119436801APending Publication Date: 2025-02-14RES INST OF YIBIN UNIV OF ELECTRONIC SCI & TECH

Patent Information

Application Number
CN202411788520.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-06
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

The existing material drying devices are basically in a purely manual control state, resulting in an increase in the complexity of the drying process, serious coupling of drying variables, extremely difficult to control, and low drying efficiency.

Method used

Provide a polymerization drying control method, train the initial time series model by obtaining the drying tower parameter set, obtaining the target drying model, combining real-time running parameters and attribute parameters to obtain the target running parameters, and performing the drying system based on these parameters Automated control.

Benefits of technology

Through automated control, the coupling effect of drying variables is reduced, the control difficulty is reduced, the drying efficiency is improved, and the drying process is simplified.

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Abstract

The invention discloses a polymerization drying control method and related equipment, and the method comprises the steps that a drying tower parameter set of a polymerization drying system is obtained, and the drying tower parameter set comprises operation parameters with labels; training the initial time sequence model by using the drying tower parameter set to obtain a target drying model; acquiring real-time operation parameters of the aggregation drying system and attribute parameters of the to-be-dried object; the attribute parameters and the real-time operation parameters are input into a target drying model to be processed, and target operation parameters are obtained; and controlling the aggregation drying system based on the target operation parameters so as to perform aggregation drying on the to-be-dried object. The problems that an existing material drying device is basically in a pure manual control state, the complexity of the drying process is increased due to manual control, drying variable coupling is serious, the control difficulty is high, and the drying efficiency is low are solved.
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Description

Background Art

[0002] In order to improve the quality and stability of materials, protect materials from microbial invasion, and extend the service life, it is necessary to remove moisture from the materials to dry them. In the prior art, material drying devices are often used to perform drying processes on materials. However, the material drying devices in the entire industry are currently basically under pure manual control, and manual control will increase the complexity of the drying process, and the coupling of drying variables is serious, resulting in great control difficulty and low drying efficiency. Summary of the invention

[0003] In order to overcome the problem that the existing material drying device is basically in a purely manual control state, and manual control will increase the complexity of the drying process, serious coupling of drying variables, great control difficulty, and low drying efficiency, the present application provides a polymerization drying control method and related equipment. The related equipment includes a polymerization drying control system, a polymerization drying control system, a computing device, and a computer-readable storage medium.

[0004] In the first aspect, in order to solve the above technical problems, the present application provides a polymerization drying control method, comprising:

[0005] Obtain a drying tower parameter set of a polymerization drying system, wherein the drying tower parameter set includes labeled operating parameters;

[0006] The initial time series model is trained using the drying tower parameter set to obtain the target drying model;

[0007] Obtaining real-time operating parameters of the polymerization drying system and property parameters of the object to be dried;

[0008] The attribute parameters and the real-time operation parameters are input into the target drying model for processing to obtain the target operation parameters;

[0009] The polymerization drying system is controlled based on the target operating parameters to perform polymerization drying on the object to be dried.

[0010] In a second aspect, the present application also provides a polymerization drying control device, including a drying tower and a controller, wherein the drying tower is used to perform polymerization drying on an object to be dried, and the controller is used to execute a polymerization drying control method.

[0011] In a third aspect, the present application also provides a polymerization drying control system, comprising:

[0012] A first acquisition module is used to acquire a drying tower parameter set of a polymerization drying system, wherein the drying tower parameter set includes labeled operating parameters;

[0013] A training module, used to train the initial time series model using the drying tower parameter set to obtain a target drying model;

[0014] The second acquisition module is used to acquire the real-time operating parameters of the polymerization drying system and the property parameters of the object to be dried;

[0015] A processing module, used for inputting the attribute parameters and the real-time operation parameters into the target drying model for processing to obtain the target operation parameters;

[0016] The control module is used to control the polymerization drying system based on the target operating parameters to perform polymerization drying on the object to be dried.

[0017] In a fourth aspect, the present application further provides a computing device, including a memory, a processor, and a program stored in the memory and running on the processor, and when the processor executes the program, the steps of a polymerization drying control method as described above are implemented.

[0018] In a fifth aspect, the present application further provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a terminal device, the terminal device executes the steps of a polymerization drying control method.

[0019] The beneficial effects of the present application are as follows: the initial time series model is trained using the drying tower parameter set of the polymerization drying system to obtain a target drying model. The real-time operating parameters of the polymerization drying system and the attribute parameters of the object to be dried are obtained, input into the target drying model for processing, the target operating parameters are obtained, and the polymerization drying system is controlled based on the target operating parameters to perform polymerization drying on the object to be dried. In this way, the operating parameters of the polymerization drying system are automatically adjusted using the trained target drying model to achieve dynamic regulation of various drying variables of the polymerization drying system, reduce coupling effects, and make control less difficult. At the same time, this automated control method reduces the complexity of the drying process and improves the drying efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic flow chart of a polymerization drying control method shown as an exemplary embodiment of the present application;

[0021] Figure 2 This is a schematic flow chart of a polymerization drying control method provided in an exemplary embodiment of the present application;

[0022] Figure 3 This is a schematic structural diagram of a polymerization drying control system shown as an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0023] The following examples are provided to further explain and supplement the present application and do not constitute any limitation to the present application.

[0024] A polymerization drying control method and related equipment according to an embodiment of the present application are described below in conjunction with the accompanying drawings. The related equipment includes a polymerization drying control system, a polymerization drying control system, a computing device, and a computer-readable storage medium.

[0025] A polymerization drying control method according to an embodiment of the present application is applied to a terminal device. In the present application scheme, the terminal device or server is used as the execution subject to illustrate the present application scheme. The terminal device or server is used to execute the steps of a polymerization drying control method.

[0026] See also Figure 1 , Figure 1 A polymerization drying control method is shown as an exemplary embodiment of the present application, such as Figure 1 As shown, the present application provides a polymerization drying control method, comprising:

[0027] Step S11, obtaining a drying tower parameter set of the polymerization drying system, the drying tower parameter set including labeled operating parameters;

[0028] Step S12, training the initial time series model using the drying tower parameter set to obtain a target drying model;

[0029] Step S13, obtaining real-time operating parameters of the polymerization drying system and property parameters of the object to be dried;

[0030] Step S14, inputting the attribute parameters and the real-time operation parameters into the target drying model for processing to obtain the target operation parameters;

[0031] Step S15, controlling the polymerization drying system based on the target operating parameters to perform polymerization drying on the object to be dried.

[0032] A polymerization drying control method of the present embodiment uses the drying tower parameter set of the polymerization drying system to train the initial time series model to obtain a target drying model. The real-time operating parameters of the polymerization drying system and the attribute parameters of the object to be dried are obtained, input into the target drying model for processing, and the target operating parameters are obtained. The polymerization drying system is controlled based on the target operating parameters to perform polymerization drying on the object to be dried. In this way, the operating parameters of the polymerization drying system are automatically adjusted using the trained target drying model to achieve dynamic regulation of various drying variables of the polymerization drying system, reduce coupling effects, and make control less difficult. At the same time, this automated control method reduces the complexity of the drying process and improves the drying efficiency of the system.

[0033] Among them, the real-time operation parameters include real-time bed temperature, real-time airflow pipe hot air temperature, real-time airflow pipe hot air temperature and real-time steam pressure. The attribute parameters include the type of drying object, the weight of the drying object, the bed temperature setting value, and the airflow pipe bottom setting temperature (the bed temperature setting value and the airflow pipe bottom setting temperature corresponding to different objects to be dried are different to avoid damaging the physical properties of the objects to be dried).

[0034] In this embodiment, the working principle of the polymerization drying system is: mainly using high temperature and high-speed airflow to quickly dry the wet raw material to be dried (such as polyvinyl chloride PVC) to meet the processing requirements. The specific process is as follows:

[0035] Heating and conveying of hot air: First, the hot air is heated by the heater and then sent to the drying tower through the fan. The wet raw materials enter the drying tower after pre-treatment such as crushing and mixing.

[0036] Drying process: In the drying tower, high-temperature, high-speed air fully contacts the raw materials and quickly removes the moisture in the raw materials. At the same time, according to different needs, an appropriate amount of air carrier, such as starch, calcium carbonate, etc., can be added to help absorb moisture and improve drying efficiency.

[0037] Treatment after drying: The dried PVC raw materials will be discharged from the drying tower together with the carrier gas and enter the next process.

[0038] The process characteristics of the polymerization drying system are reflected in:

[0039] High efficiency and fast speed: high temperature and high speed airflow are used for drying, which has high heat and mass transfer efficiency and fast drying speed, thus improving production efficiency.

[0040] Simple operation: The equipment has a simple structure and is easy to operate, which can reduce labor costs and maintenance costs1.

[0041] Wide applicability: It is suitable for raw materials in various forms, such as granular, powdery, etc., and has a wide range of humidity requirements for raw materials, which can meet different production needs.

[0042] Energy saving and environmental protection: Through reasonable design and control, low energy consumption and low emissions can be achieved, which meets the requirements of energy saving and environmental protection in modern industry.

[0043] The application scenario of the polymerization drying system is mainly in the plastic processing industry, especially when processing plastic raw materials such as polyvinyl chloride (PVC). This drying method can effectively improve production efficiency and product quality, reduce energy consumption and pollution emissions, and is an important direction for the green development of the plastic processing industry.

[0044] Strong adjustability: process parameters such as temperature and speed can be adjusted according to actual needs to adapt to different drying requirements.

[0045] Optionally, a drying tower parameter set of a polymerization drying system is obtained, including:

[0046] Obtaining original drying tower parameters of the polymerization drying system in a historical period, the original drying tower parameters including original property parameters and original operation parameters;

[0047] Preprocessing the original drying tower parameters to obtain historical drying tower parameters, which include drying object attribute parameters and historical operation parameters;

[0048] Using the dry object attribute parameters as labels of the corresponding historical operating parameters to obtain the labeled operating parameters;

[0049] Arrange multiple labeled operating parameters in chronological order to form a drying tower parameter set.

[0050] In this embodiment, the original drying tower parameters of the polymerization drying system in the historical time period are obtained, and the original drying tower parameters are preprocessed to reduce useless data in the original drying tower parameters, so as to obtain historical drying tower parameters with fewer interference parameters. The drying object attribute parameters are used as labels of the corresponding historical operating parameters to obtain labeled operating parameters, and multiple labeled operating parameters are arranged in chronological order to form a drying tower parameter set, which can improve the accuracy of the training set, thereby improving the model accuracy of the target drying model obtained by subsequent model training, and further improving the accuracy of the subsequent use of the target drying model to dynamically control the operating parameters of the polymerization drying system.

[0051] The preprocessing in this embodiment includes data cleaning and screening.

[0052] Optionally, the initial time series model is trained using the drying tower parameter set to obtain a target drying model, including:

[0053] The drying tower parameter set is input into the initial time series model for processing to obtain the predicted operating parameters;

[0054] Obtaining error loss based on the predicted operating parameters and the corresponding true target operating parameters;

[0055] The initial time series model is optimized based on the error loss to obtain the target drying model.

[0056] In this embodiment, the drying tower parameter set is input into the initial time series model for processing to obtain the predicted operating parameters. Based on the error loss obtained from the predicted operating parameters and the corresponding true target operating parameters, the difference between the predicted value and the true value can be understood, so that it can be understood whether the model accuracy of the initial time series model meets the requirements. The initial time series model is optimized based on the error loss so that the model accuracy of the optimized target drying model can meet the requirements, so that the accuracy of the subsequent dynamic regulation of the operating parameters of the polymerization drying system using the target drying model can meet the requirements.

[0057] Optionally, the initial time series model is optimized based on the error loss to obtain a target drying model, including:

[0058] When the error loss meets the preset requirements, the initial time series model is used as the target drying model;

[0059] When the error loss does not meet the preset requirements, the network parameters of the initial time series model are adjusted to obtain an optimized time series model;

[0060] The optimized time series model is trained using the drying tower parameter set. When the corresponding error loss meets the preset requirements, the optimized time series model corresponding to the error loss meeting the preset requirements is used as the target drying model.

[0061] In this embodiment, when the error loss meets the preset requirements, it means that the model accuracy of the corresponding initial time series model can meet the requirements, and the initial time series model at this time can be used as the target drying model. When the error loss does not meet the preset requirements, it means that the model accuracy of the corresponding initial time series model does not meet the requirements. At this time, it is necessary to optimize the initial time series model by adjusting the network parameters of the initial time series model, so that the error loss corresponding to the optimized time series model obtained by optimization meets the preset requirements, that is, the model accuracy of the optimized time series model obtained by optimization meets the requirements, and the optimized time series model at this time is used as the target drying model. In this way, the model accuracy of the target drying model obtained meets the requirements, so that the accuracy of the subsequent use of the target drying model to dynamically control the operating parameters of the polymerization drying system can meet the requirements.

[0062] The preset requirement is that the multiple error losses corresponding to the drying tower parameter set are all less than or equal to the preset value. The network parameters of the initial time series model include hidden layer weights and output layer weights.

[0063] Optionally, the attribute parameters and the real-time operation parameters are input into the target drying model for processing to obtain the target operation parameters, including:

[0064] In the target drying model, the target time step corresponding to the real-time operating parameters is determined;

[0065] The real-time operation parameters are input into the target time step, and the real-time operation parameters are processed using the hidden layer and output layer corresponding to the target time step to obtain the target operation parameters.

[0066] In this embodiment, the real-time operation parameter includes the real-time time of the object to be dried in the polymerization drying system. Based on the real-time time in the real-time operation parameter, the corresponding target time step in the target drying model can be found, and the real-time operation parameter is input into the target time step, and the real-time operation parameter is processed using the hidden layer and output layer corresponding to the target time step to obtain the target operation parameter, so that the model can directly obtain the current desired target operation parameter based on the real-time operation parameter, so as to control the polymerization drying system based on the target operation parameter, realize dynamic drying of the object to be dried, and improve the flexibility of drying.

[0067] In this embodiment, the hidden layer and output layer corresponding to the target time step include the hidden layer and output layer of the target time step itself, and the hidden layer and output layer of the time step after the target time step.

[0068] Optionally, controlling the polymerization drying system to perform polymerization drying on the object to be dried according to the target operating parameters includes:

[0069] Determine the optimized control parameters based on the real-time operating parameters and the target operating parameters;

[0070] The polymerization drying system is controlled according to the optimized control parameters to perform polymerization drying treatment on the object to be dried.

[0071] In this embodiment, the optimized control parameters are determined based on the real-time operating parameters and the target operating parameters, and the polymerization drying system is controlled according to the optimized control parameters to perform polymerization drying treatment on the object to be dried, so that the polymerization drying system can dynamically dry the object to be dried, thereby enabling targeted drying and improving the drying efficiency of the system.

[0072] In this embodiment, the target operating parameters include target bed temperature, target airflow pipe bottom temperature, target airflow pipe hot air temperature and target steam pressure. The optimized control parameters include target hot air temperature and target air temperature regulating valve opening, and the target hot air temperature is used to adjust the bed temperature, the airflow pipe bottom temperature and the airflow pipe hot air temperature. The target air temperature regulating valve opening is adjusted based on the real-time bed temperature, the real-time airflow pipe bottom temperature, the real-time airflow pipe hot air temperature and the real-time steam pressure to control the drying temperature and system temperature and improve the stability and safety of the drying system. When the polymerization drying system is controlled according to the optimized control parameters, the real-time bed temperature must always be less than or equal to the bed temperature setting value, the real-time airflow pipe bottom temperature must always be less than or equal to the airflow pipe bottom setting temperature, the real-time steam pressure must be within a pressure range, and the pressure disturbance corresponding to the real-time steam pressure per unit time is only greater than a maximum value, or less than a minimum value, the air temperature regulating valve opening is adjusted, which can not only avoid system overpressure damage, but also avoid the large temperature fluctuation at the bottom of the drying tower caused by the pressure real-time regulating valve, further improving the drying efficiency and safety.

[0073] In an exemplary embodiment, the target bed temperature is 55°C and the real-time bed temperature is 50°C. The heat required to increase the bed temperature from 50°C to 55°C is calculated, and then the hot air temperature corresponding to the heat injected within 1 minute (adjustment time) is calculated to be a°C (generally, the wind speed is fixed, so the heat corresponding to the same hot air temperature per unit time is fixed, so it is only necessary to adjust the hot air temperature). The corresponding optimization control parameter is a°C for the target hot air temperature, and a 1-minute adjustment time is maintained. After 1 minute, the target hot air temperature is dynamically adjusted according to the system heat loss, so that the heat brought by the hot air is balanced with the loss. This achieves accurate drying control of the polymerization drying system at each time step (control link), so as to increase the probability that each batch of objects to be dried can meet the drying standards after drying, and reduce the situation of unqualified drying.

[0074] See also Figure 2 , Figure 2 This is a schematic diagram of a process flow of a polymerization drying control method provided in an exemplary embodiment of the present application, such as Figure 2As shown, first, the attribute parameters of the object to be dried are set, that is, the category of the object to be dried (such as polyvinyl chloride) and the weight of the object to be dried (system feed amount), as well as the bed temperature setting value of the tower bed area of ​​the drying tower and the bottom setting temperature of the airflow pipe of the airflow pipe for outflowing hot air. Secondly, the object to be dried is fed into the tower bed area of ​​the drying tower according to the weight of the object to be dried and the category of the object to be dried, and the hot air of the initial temperature of the system is injected into the tower bed area of ​​the drying tower, and the bed temperature of the tower bed area, the bottom temperature of the airflow pipe of the airflow pipe, the hot air temperature of the airflow pipe and the steam pressure (the real-time steam pressure is directly observed by the steam pressure observer) are detected in real time, and the real-time bed temperature, the real-time bottom temperature of the airflow pipe, the real-time hot air temperature of the airflow pipe and the real-time steam pressure are obtained, and the real-time operating parameters are obtained. At the same time, the hot air injected into the drying tower dries the object to be dried in the tower bed area, passes through the airflow pipe and flows out from the air temperature regulating valve. In addition, the drying tower is also equipped with a matching hand operator, which allows the staff to control the control parameters of the polymerization drying system at any time to achieve the desired drying tower operating parameters and to promptly respond to abnormal problems caused by control failure or internal damage to the drying tower. Figure 2 The SP in it represents the set temperature value, and the PV represents the measured temperature value.

[0075] Then, the measured real-time operating parameters are input into the target drying model for processing to obtain target operating parameters, including target bed temperature, target airflow tube bottom temperature, target airflow tube hot air temperature and target steam pressure, and based on the target operating parameters, optimized control parameters are obtained, including target hot air temperature and target air temperature regulating valve opening, and the hot air temperature is adjusted based on the target hot air temperature, and the air temperature regulating valve is adjusted based on the target air temperature regulating valve opening, so that the bed temperature in the tower bed area reaches the target bed temperature, the airflow tube bottom temperature of the airflow tube reaches the target airflow tube bottom temperature, the airflow tube hot air temperature of the airflow tube reaches the target airflow tube hot air temperature, and the steam pressure of the airflow tube reaches the target steam pressure, so as to control the drying temperature, system temperature and system pressure, realize safe and stable polymerization drying of the object to be dried, and improve the stability and safety of the drying system.

[0076] In this embodiment, when the object to be dried is PVC, since the decomposition temperature of PVC is about 190 degrees, the drying temperature is usually about 60-70 degrees, and PVC is a heat-sensitive raw material, the drying time should not be too long, generally about two hours. In addition, the glass transition temperature and thermal degradation temperature of the PVC resin itself are relatively low, and the temperature of the material layer should not exceed 70 degrees during drying. The focus of drying PVC should be on temperature distribution. During the drying period, attention should be paid to making the temperature distribution of the internal space of the drying tower uniform, and controlling the retention of particles to achieve polymerization drying without dead ends in the drying tower. Therefore, the collection interval of the real-time operating parameters can be set to 5 minutes, 10 minutes, etc. Therefore, the control interval for controlling the polymerization drying system based on the target operating parameters corresponds to 5 minutes, 10 minutes, etc.

[0077] The present application provides a polymerization drying control device, characterized in that it comprises a drying tower and a controller, wherein the drying tower is used to perform polymerization drying on an object to be dried, and the controller is used to execute a polymerization drying control method as claimed in any one of claims 1 to 6.

[0078] See also Figure 3 , Figure 3 A polymerization drying control system is shown as an exemplary embodiment of the present application, such as Figure 3 As shown, the present application provides a polymerization drying control system 300, comprising:

[0079] A first acquisition module 301 is used to acquire a drying tower parameter set of a polymerization drying system, wherein the drying tower parameter set includes a labeled operation parameter 302;

[0080] A training module 303 is used to train the initial time series model using the drying tower parameter set to obtain a target drying model;

[0081] The second acquisition module 304 is used to acquire the real-time operating parameters of the polymerization drying system and the property parameters of the object to be dried;

[0082] Processing module 305, for inputting the attribute parameters and the real-time operation parameters into the target drying model for processing to obtain the target operation parameters;

[0083] The control module is used to control the polymerization drying system based on the target operating parameters to perform polymerization drying on the object to be dried.

[0084] A polymerization drying control system of the present embodiment uses the drying tower parameter set of the polymerization drying system obtained by the first acquisition module 301 to train the initial time series model in the training module 303 to obtain the target drying model. The real-time operating parameters of the polymerization drying system and the attribute parameters of the object to be dried are obtained by the second acquisition module 304, and are input into the target drying model for processing to obtain the target operating parameters, and the polymerization drying system is controlled based on the target operating parameters by the processing module 305 to perform polymerization drying on the object to be dried. In this way, the operating parameters of the polymerization drying system are automatically adjusted using the trained target drying model to achieve dynamic regulation of various drying variables of the polymerization drying system, reduce coupling effects, and make control less difficult. At the same time, this automated control method reduces the complexity of the drying process and improves the drying efficiency of the system.

[0085] Optionally, the first acquisition module is specifically used to:

[0086] Obtaining original drying tower parameters of the polymerization drying system in a historical period, the original drying tower parameters including original property parameters and original operation parameters;

[0087] Preprocessing the original drying tower parameters to obtain historical drying tower parameters, which include drying object attribute parameters and historical operation parameters;

[0088] Using the dry object attribute parameters as labels of the corresponding historical operating parameters to obtain the labeled operating parameters;

[0089] Arrange multiple labeled operating parameters in chronological order to form a drying tower parameter set.

[0090] Optionally, the training module is specifically used to:

[0091] The drying tower parameter set is input into the initial time series model for processing to obtain the predicted operating parameters;

[0092] Obtaining error loss based on the predicted operating parameters and the corresponding true target operating parameters;

[0093] The initial time series model is optimized based on the error loss to obtain the target drying model.

[0094] Optionally, the training module is specifically used to:

[0095] When the error loss meets the preset requirements, the initial time series model is used as the target drying model;

[0096] When the error loss does not meet the preset requirements, the network parameters of the initial time series model are adjusted to obtain an optimized time series model;

[0097] The optimized time series model is trained using the drying tower parameter set. When the corresponding error loss meets the preset requirements, the optimized time series model corresponding to the error loss meeting the preset requirements is used as the target drying model.

[0098] Optionally, the processing module is specifically configured to:

[0099] In the target drying model, the target time step corresponding to the real-time operating parameters is determined;

[0100] The real-time operation parameters are input into the target time step, and the real-time operation parameters are processed using the hidden layer and output layer corresponding to the target time step to obtain the target operation parameters.

[0101] Optionally, the control module is specifically configured to:

[0102] Determine the optimized control parameters based on the real-time operating parameters and the target operating parameters;

[0103] The polymerization drying system is controlled according to the optimized control parameters to perform polymerization drying treatment on the object to be dried.

[0104] It should be noted that the polymerization drying control system provided in the above embodiment and the polymerization drying control method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment, and will not be repeated here. In practical applications, the polymerization drying control system provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0105] A computing device according to an embodiment of the present application includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, some or all steps of the above-mentioned polymerization drying control method are implemented.

[0106] Among them, the computing device can be a computer, and correspondingly, its program is computer software. The above-mentioned parameters and steps in a computing device of the present application can refer to the parameters and steps in the embodiment of the polymerization drying control method above, and will not be repeated here.

[0107] In an embodiment of the present application, a computer-readable storage medium is provided, in which instructions are stored. When the instructions are executed, the steps of the above-mentioned polymerization drying control method are executed.

[0108] The computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0109] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the embodiment of the present disclosure. The aforementioned computer-readable storage medium may be a non-transitory computer-readable storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes, or a transient computer-readable storage medium.

[0110] The flowchart and block diagram in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0111] Those skilled in the art know that the present application can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, generally referred to as "module" or "system" herein. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code. Computer-readable storage media can be, for example, but not limited to - electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above.

[0112] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0113] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A polymerization drying control method, characterized in that: include: Obtaining a drying tower parameter set of a polymerization drying system, wherein the drying tower parameter set includes labeled operating parameters; Using the drying tower parameter set to train the initial time series model to obtain a target drying model; Acquiring real-time operating parameters of the polymerization drying system and property parameters of the object to be dried; Inputting the attribute parameters and the real-time operation parameters into the target drying model for processing to obtain target operation parameters; The polymerization drying system is controlled based on the target operating parameters to perform polymerization drying on the object to be dried.

2. The method according to claim 1, characterized in that The step of obtaining a drying tower parameter set of the polymerization drying system comprises: Acquire original drying tower parameters of the polymerization drying system in a historical period, wherein the original drying tower parameters include original property parameters and original operation parameters; Preprocessing the original drying tower parameters to obtain historical drying tower parameters, wherein the historical drying tower parameters include drying object attribute parameters and historical operation parameters; Using the drying object attribute parameters as labels of corresponding historical operating parameters to obtain labeled operating parameters; Arrange the plurality of labeled operating parameters in chronological order to form a drying tower parameter set.

3. The method according to claim 1, characterized in that The initial time series model is trained using the drying tower parameter set to obtain a target drying model, including: Inputting the drying tower parameter set into the initial time series model for processing to obtain predicted operating parameters; Obtaining an error loss based on the predicted operating parameters and the corresponding true target operating parameters; The initial time series model is optimized based on the error loss to obtain a target drying model.

4. The method according to claim 3, characterized in that The step of optimizing the initial time series model based on the error loss to obtain a target drying model includes: When the error loss meets the preset requirement, taking the initial time series model as the target drying model; When the error loss does not meet the preset requirements, adjusting the network parameters of the initial time series model to obtain an optimized time series model; The optimized time series model is trained using the drying tower parameter set, and when the corresponding error loss meets the preset requirements, the optimized time series model corresponding to the error loss meeting the preset requirements is used as the target drying model.

5. The method according to claim 1, characterized in that The step of inputting the attribute parameters and the real-time operation parameters into the target drying model for processing to obtain the target operation parameters comprises: In the target drying model, determining a target time step corresponding to the real-time operating parameter; The real-time operation parameters are input into the target time step, and the real-time operation parameters are processed using the hidden layer and the output layer corresponding to the target time step to obtain the target operation parameters.

6. The method according to any one of claims 1 to 5, characterized in that: The step of controlling the polymerization drying system to perform polymerization drying on the object to be dried according to the target operating parameters includes: Determining an optimized control parameter based on the real-time operating parameter and the target operating parameter; The polymerization drying system is controlled according to the optimized control parameters to perform polymerization drying treatment on the object to be dried.

7. A polymerization drying control device, characterized in that: It comprises a drying tower and a controller, wherein the drying tower is used to perform polymerization drying on the object to be dried, and the controller is used to execute a polymerization drying control method as claimed in any one of claims 1 to 6.

8. A polymerization drying control system, characterized in that: include: A first acquisition module is used to acquire a drying tower parameter set of a polymerization drying system, wherein the drying tower parameter set includes labeled operation parameters; A training module, used to train the initial time series model using the drying tower parameter set to obtain a target drying model; A second acquisition module is used to acquire real-time operating parameters of the polymerization drying system and property parameters of the object to be dried; A processing module, used for inputting the attribute parameters and the real-time operation parameters into the target drying model for processing to obtain target operation parameters; A control module is used to control the polymerization drying system based on the target operating parameters to perform polymerization drying on the object to be dried.

9. A computing device comprising a memory, a processor, and a program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the steps of a polymerization drying control method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a terminal device, the terminal device executes the steps of a polymerization drying control method according to any one of claims 1 to 6.

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