Automatic control method for continuous casting secondary cooling water all-steel wide flow range regulating valve

Abstract

The invention relates to the technical field of automatic control, in particular to an automatic control method for a continuous casting secondary cooling water all-steel wide flow range regulating valve. The method comprises the following steps: acquiring traffic demand data; when it is determined that the flow demand data is larger than preset first flow interval threshold data, large-drift-diameter regulating valve control operation is carried out according to preset large-drift-diameter flow data; when it is determined that the flow demand data is larger than or equal to preset second flow interval threshold data, double-drift-diameter regulating valve control operation is conducted according to preset large-drift-diameter flow data and preset small-drift-diameter flow data; and when it is determined that the flow demand data is smaller than preset second flow interval threshold data, small-drift-diameter regulating valve control operation is carried out according to preset small-drift-diameter flow data. The requirements of different steel types for secondary cooling water flow are met, and the situation that flow fluctuation is caused by the fact that the flow exceeds the characteristics of a valve when the flow is low, and the quality of a casting blank is affected is avoided.

Description

Technical Field

[0001] The invention relates to the field of automatic control technology, and in particular to an automatic control method for a full-steel wide flow range regulating valve for secondary cooling water of continuous casting. Background Art

[0002] In the modern steel production process, continuous casting is a key technology that produces various specifications of ingots by continuously casting high-temperature molten steel. The quality and efficiency of the continuous casting process directly affect the quality and production cost of steel products. Therefore, the optimization and control of the continuous casting process has always been an important research direction in the field of steel production.

[0003] In the continuous casting process, the secondary cooling water system is a key part for controlling the cooling rate of the ingot. The flow rate and temperature of the secondary cooling water directly affect the quality and surface characteristics of the ingot. Due to the different process requirements of different steel grades, the set flow rate of each circuit of the continuous casting machine is different for different steel grades. At the beginning of the casting machine design, a large flow regulating valve was generally used to meet the large water volume. In some steel grades, only a small flow rate is required. At this time, the valve core setting of the regulating valve often does not reach the optimal working range of 30%-70% of the regulating valve, and it is easy to cause flow fluctuations, thereby affecting the quality of the slab. Summary of the invention

[0004] In order to solve the above technical problems, the present invention proposes an automatic control method for a wide flow range regulating valve for all steel grades of secondary cooling water in continuous casting, so as to solve at least one of the above technical problems.

[0005] The present application provides an automatic control method for a continuous casting secondary cooling water all-steel wide flow range regulating valve, the method comprising:

[0006] S1. Obtaining traffic demand data;

[0007] S2, judging whether the flow demand data is greater than or equal to the preset first flow interval threshold data, and when it is determined that the flow demand data is greater than the preset first flow interval threshold data, performing a large-diameter regulating valve control operation according to the preset large-diameter flow data;

[0008] S3, if it is determined that the flow demand data is less than the preset first flow interval threshold data, then it is determined whether the flow demand data is greater than or equal to the preset second flow interval threshold data;

[0009] S4, when it is determined that the flow demand data is greater than or equal to the preset second flow interval threshold data, the dual-diameter regulating valve control operation is performed according to the preset large-diameter flow data and the preset small-diameter flow data;

[0010] S5. When it is determined that the flow demand data is less than the preset second flow interval threshold data, the small-diameter regulating valve control operation is performed according to the preset small-diameter flow data.

[0011] In the present invention, by judging different flow demand data and selecting different valve control strategies, the method can achieve accurate control of the secondary cooling water of continuous casting, ensuring that the flow of cooling water in the steel production process is always kept within the optimal range. By avoiding flow fluctuations caused by the regulating valve exceeding the optimal working range at low flow, the method can improve the quality of the casting and reduce defects and scrap rates. By dynamically selecting an appropriate valve control strategy according to the flow demand, the method can optimize the use of the regulating valve, extend the equipment life and improve production efficiency.

[0012] Optionally, S1 includes:

[0013] Obtain steel grade parameter data and valve characteristic parameter data;

[0014] The flow demand is calculated based on the steel grade parameter data and the valve characteristic parameter data to obtain the flow demand data.

[0015] The present invention can accurately predict the flow demand and ensure the accuracy of flow control by obtaining steel grade parameter data and valve characteristic parameter data and performing comprehensive calculations. By acquiring and calculating flow demand data in real time, the flow control strategy can be dynamically adjusted according to production changes to ensure the flexibility and adaptability of the production process.

[0016] Optionally, S2 includes:

[0017] Determine whether the flow demand data is greater than or equal to a preset first flow interval threshold data;

[0018] When it is determined that the flow demand data is greater than the preset first flow interval threshold data, a large-diameter regulating valve signal is generated according to the preset large-diameter flow data to perform a large-diameter regulating valve control operation;

[0019] The preset first flow interval threshold data is generated in the following manner:

[0020] Obtain historical steel grade flow data based on steel grade parameter data;

[0021] Extract characteristics based on historical steel grade flow data to obtain historical steel grade flow characteristic data;

[0022] Parameter mapping is performed based on historical steel grade flow characteristic data and steel grade parameter data to obtain steel grade flow parameter mapping data;

[0023] A regression model is constructed based on the steel grade flow parameter mapping data to obtain a steel grade flow parameter identification model;

[0024] The steel grade flow parameter identification model is used to identify the steel grade parameter data and the valve characteristic parameter data to obtain the first flow interval threshold data.

[0025] The present invention ensures the accuracy of flow control and improves the stability of the production process through accurate threshold judgment and control signal generation. Through automated data analysis and model building, manual intervention is reduced and the automation level of the system is improved. Rapid response to changes in flow demand ensures the continuity and efficiency of the production process. Accurate flow control reduces resource waste and improves production efficiency and economic benefits. Stable flow control improves the quality of the ingot and reduces defects and scrap rates. The model and threshold are continuously optimized using historical data and real-time data to ensure continuous improvement of system performance.

[0026] Optionally, S4 includes:

[0027] A large-diameter valve flow model is constructed according to preset large-diameter flow data and valve characteristic parameter data to obtain a large-diameter valve flow model;

[0028] A small-diameter valve flow model is constructed according to preset small-diameter flow data and valve characteristic parameter data to obtain a small-diameter valve flow model;

[0029] Flow distribution calculation is performed according to flow demand data, large-diameter valve flow model and small-diameter valve flow model to obtain valve flow distribution data for dual-diameter regulating valve control operation;

[0030] In the present invention, by constructing and applying the flow model of large-diameter and small-diameter valves, accurate control of flow demand can be achieved, and the stability of the production process can be improved. The process of flow distribution and valve control is highly automated, reducing manual intervention and improving the automation level of the system. Through real-time data and model calculation, changes in flow demand can be quickly responded to ensure the continuity and efficiency of the production process. Accurate flow control reduces resource waste and improves production efficiency and economic benefits. Stable flow control improves the quality of the ingot and reduces defects and scrap rates. The model and control strategy are continuously optimized using historical data and real-time data to ensure continuous improvement of system performance.

[0031] Optionally, the large-diameter valve flow model construction includes:

[0032] Obtain historical large-diameter flow data based on preset large-diameter flow data and valve characteristic parameter data;

[0033] Flow characteristic extraction and opening characteristic extraction are performed based on historical large-diameter flow data to obtain large-diameter flow characteristic data and large-diameter opening characteristic data;

[0034] A large-diameter valve flow regression model is constructed based on the large-diameter flow characteristic data and the large-diameter opening characteristic data to obtain a large-diameter valve flow model.

[0035] The present invention uses historical data and preset parameters to build a model, ensuring that the model has a strong data foundation and prediction capabilities. The constructed flow model can accurately predict flow demand and improve the accuracy and stability of flow control. Through automated data extraction and model building, the efficiency and response speed of flow control decisions are improved. Accurate flow prediction and control can reduce resource waste and improve production efficiency and economic benefits. Through stable flow control, the quality of the ingot is improved, and defects and scrap rates are reduced. Using continuously updated data and models, the flow control strategy can be continuously optimized to ensure the continuous improvement of system performance.

[0036] Optionally, the small-diameter valve flow model construction includes:

[0037] Acquire historical small-diameter flow data according to preset small-diameter flow data and valve characteristic parameter data;

[0038] Flow characteristic extraction and opening characteristic extraction are performed based on historical small-diameter flow data to obtain small-diameter flow characteristic data and small-diameter opening characteristic data;

[0039] A small-diameter valve flow regression model is constructed based on the small-diameter flow characteristic data and the small-diameter opening characteristic data to obtain a small-diameter valve flow model.

[0040] The present invention uses historical data and preset parameters to build a model, ensuring that the model has a strong data foundation and prediction ability. The constructed small-diameter flow model can accurately predict flow demand and improve the accuracy and stability of flow control. Through automated data extraction and model building, the efficiency and response speed of flow control decisions are improved. Accurate flow prediction and control can reduce resource waste, improve production efficiency and economic benefits. Through stable flow control, the quality of the ingot is improved, and defects and scrap rates are reduced.

[0041] Optionally, the step of generating the preset second flow interval threshold data includes:

[0042] Perform weighted calculation based on valve characteristic parameter data and first flow interval threshold data to obtain second flow interval threshold data; or,

[0043] Perform characteristic curve fitting according to the small-diameter valve characteristic parameter data in the valve characteristic parameter data to obtain the small-diameter valve characteristic curve data;

[0044] Extract curve features according to the characteristic curve data of the small-diameter valve to obtain the characteristic data of the small-diameter valve;

[0045] A weighted calculation is performed based on the characteristic feature data of the small-diameter valve and the first flow interval threshold data to obtain the second flow interval threshold data.

[0046] In the present invention, by using weighted calculation and characteristic curve fitting and other methods, the second flow interval threshold data can be accurately generated to ensure the accuracy of flow control. Both method one and method two comprehensively consider the influence of valve characteristic parameters and the first flow interval threshold data, and improve the scientificity and rationality of the threshold data. The historical data and characteristic parameter data are used for calculation and fitting to ensure that the generated threshold data has a strong data basis and prediction ability. Rapid generation and verification of threshold data can improve the efficiency and response speed of flow control decisions. Accurate flow control can reduce resource waste, improve production efficiency and economic benefits. Stable flow control improves the quality of the ingot and reduces defects and scrap rates.

[0047] Optionally, the present application further provides an automatic control system for a continuous casting secondary cooling water all steel grade wide flow range regulating valve, which is used to execute the automatic control method for the continuous casting secondary cooling water all steel grade wide flow range regulating valve as described above, and the automatic control system for the continuous casting secondary cooling water all steel grade wide flow range regulating valve comprises:

[0048] A flow demand data collection module, used to obtain flow demand data;

[0049] A large-diameter regulating valve control operation module is used to determine whether the flow demand data is greater than or equal to the preset first flow interval threshold data, and when it is determined that the flow demand data is greater than the preset first flow interval threshold data, the large-diameter regulating valve control operation is performed according to the preset large-diameter flow data;

[0050] A flow interval threshold judgment module is used to determine whether the flow demand data is greater than or equal to a preset second flow interval threshold data if the flow demand data is less than a preset first flow interval threshold data;

[0051] A dual-diameter regulating valve control operation module is used to determine that when the flow demand data is greater than or equal to the preset second flow interval threshold data, perform a dual-diameter regulating valve control operation according to the preset large-diameter flow data and the preset small-diameter flow data;

[0052] The small-diameter regulating valve control operation module is used to determine that when the flow demand data is less than the preset second flow interval threshold data, the small-diameter regulating valve control operation is performed according to the preset small-diameter flow data.

[0053] Optionally, the present application further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the method as described in any one of the above items.

[0054] Optionally, the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the method as described in any of the above items when running.

[0055] The purpose of the present invention is to improve the accuracy of flow control by graded judgment, and ensure that the most appropriate control strategy can be adopted under different flow requirements. According to different flow intervals, large-diameter regulating valves, small-diameter regulating valves and dual-diameter regulating valves are used for flow control to ensure the accuracy of flow control. Real-time data processing can respond to changes in flow demand in a timely manner and avoid the impact of flow fluctuations on system operation. By constructing a large-diameter valve flow model and a small-diameter valve flow model, valve control is performed based on the model to ensure the scientificity and stability of the control strategy. The model-driven control strategy can accurately predict flow demand, reduce valve control errors, and improve the stability of the system. The preset first and second flow interval threshold data are generated through steps such as historical data analysis, feature extraction and model construction to ensure the scientificity and reliability of threshold data. The multi-level threshold generation method improves the accuracy of threshold data and ensures the stability and reliability of the flow control strategy. Flow distribution calculation is performed according to the large-diameter and small-diameter valve flow models to obtain the best valve flow distribution data to ensure efficient use of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting implementations made with reference to the following drawings:

[0057] Figure 1 A flowchart showing a method for automatically controlling a continuous casting secondary cooling water all-steel wide flow range regulating valve according to an embodiment of the present invention is provided;

[0058] Figure 2 A flowchart showing a method for generating first flow interval threshold data according to an embodiment of the present invention is provided;

[0059] Figure 3 A flowchart showing a method for controlling a dual-path regulating valve according to an embodiment of the present invention is provided;

[0060] Figure 4 A flowchart showing a method for constructing a flow model of a large-diameter valve according to an embodiment of the present invention is provided;

[0061] Figure 5A flowchart showing a method for constructing a flow model of a small-diameter valve according to an embodiment of the present invention is provided;

[0062] 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

[0063] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0064] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0065] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0066] See also Figures 1 to 5 The present application provides an automatic control method for a continuous casting secondary cooling water all-steel wide flow range regulating valve, the method comprising:

[0067] S1. Obtaining traffic demand data;

[0068] Specifically, flow sensors and data acquisition modules are used to monitor the current flow demand data in real time. The collected data include instantaneous flow, cumulative flow, valve opening, steel grade parameters, etc.

[0069] S2, judging whether the flow demand data is greater than or equal to the preset first flow interval threshold data, and when it is determined that the flow demand data is greater than the preset first flow interval threshold data, performing a large-diameter regulating valve control operation according to the preset large-diameter flow data;

[0070] Specifically, load the preset first flow interval threshold data from the database. These threshold data are preset based on historical data and steel grade parameters. Determine whether the current flow demand data is greater than or equal to the first flow interval threshold. Use a simple conditional judgment algorithm. if current_flow>=first_threshold:control_valve(large_orifice_valve,current_flow).

[0071] If the judgment condition is true, a large-diameter regulating valve control signal is generated. The control signal is calculated according to the current flow demand data and the preset large-diameter flow data: def control_valve(valve,flow):valve_opening=calculate_opening(flow,valve_characteristics); send_control_signal(valve,valve_opening).

[0072] S3, if it is determined that the flow demand data is less than the preset first flow interval threshold data, then it is determined whether the flow demand data is greater than or equal to the preset second flow interval threshold data;

[0073] Specifically, the preset second flow interval threshold data is loaded from the database. It is determined whether the current flow demand data is less than the first threshold and greater than or equal to the second threshold. The conditional judgment algorithm is used: if current_flow<first_threshold and current_flow> =second_threshold:control_valve(both_valves,current_flow).

[0074] S4, when it is determined that the flow demand data is greater than or equal to the preset second flow interval threshold data, the dual-diameter regulating valve control operation is performed according to the preset large-diameter flow data and the preset small-diameter flow data;

[0075] Specifically, load the flow models of large-diameter and small-diameter valves, including their respective flow characteristic data. According to the current flow demand data, use the flow distribution algorithm to calculate the opening of large-diameter and small-diameter valves: def calculate_distribution(flow, large_valve_model, small_valve_model): large_flow = large_valve_model.predict(flow); small_flow = small_valve_model.predict(flow); return large_flow, small_flow. Generate control signals for large-diameter and small-diameter valves, and perform dual-diameter regulating valve control operations.

[0076] S5. When it is determined that the flow demand data is less than the preset second flow interval threshold data, the small-diameter regulating valve control operation is performed according to the preset small-diameter flow data.

[0077] Specifically, a small-diameter valve flow model including flow characteristic data is loaded, and the small-diameter valve flow model is used to calculate the small-diameter valve opening under the current flow demand, and a control signal of the small-diameter valve is generated to perform a small-diameter regulating valve control operation.

[0078] In the present invention, by judging different flow demand data and selecting different valve control strategies, the method can achieve accurate control of the secondary cooling water of continuous casting, ensuring that the flow of cooling water in the steel production process is always kept within the optimal range. By avoiding flow fluctuations caused by the regulating valve exceeding the optimal working range at low flow, the method can improve the quality of the casting and reduce defects and scrap rates. By dynamically selecting an appropriate valve control strategy according to the flow demand, the method can optimize the use of the regulating valve, extend the equipment life and improve production efficiency.

[0079] Optionally, S1 includes:

[0080] Obtain steel grade parameter data and valve characteristic parameter data;

[0081] Specifically, the basic parameter data of the steel type is loaded from the database, including the steel type, chemical composition, physical properties, etc. The characteristic parameter data of the valve is loaded from the database, including the valve type, diameter size, flow characteristic curve, etc.

[0082] The flow demand is calculated based on the steel grade parameter data and the valve characteristic parameter data to obtain the flow demand data.

[0083] Specifically, key features such as chemical composition, physical properties, etc. are extracted from the steel grade parameter data. Key features such as valve opening, flow coefficient, etc. are extracted from the valve characteristic parameter data. The extracted steel grade parameter characteristic data and valve characteristic parameter characteristic data are integrated to form a comprehensive characteristic data set. Based on the comprehensive characteristic data set, the flow demand data is calculated using a regression model or a machine learning algorithm. G=αA+βB, G is the flow demand data, α is the regression parameter data corresponding to the steel grade parameter data, A is the steel grade parameter data, β is the regression parameter data corresponding to the valve characteristic parameter data, and B is the valve characteristic parameter data.

[0084] The present invention can accurately predict the flow demand and ensure the accuracy of flow control by obtaining steel grade parameter data and valve characteristic parameter data and performing comprehensive calculations. By acquiring and calculating flow demand data in real time, the flow control strategy can be dynamically adjusted according to production changes to ensure the flexibility and adaptability of the production process.

[0085] Optionally, S2 includes:

[0086] Determine whether the flow demand data is greater than or equal to a preset first flow interval threshold data;

[0087] Specifically, the preset first flow interval threshold data is loaded from the database, and the flow demand data is compared to see whether it is greater than or equal to the first flow interval threshold.

[0088] When it is determined that the flow demand data is greater than the preset first flow interval threshold data, a large-diameter regulating valve signal is generated according to the preset large-diameter flow data to perform a large-diameter regulating valve control operation;

[0089] Specifically, it is determined whether to enter the large-diameter regulating valve control operation according to the judgment result. When it is determined to enter the large-diameter regulating valve control operation, a regulating valve control signal is generated according to the flow demand data and the large-diameter flow data.

[0090] The preset first flow interval threshold data is generated in the following manner:

[0091] S21. Obtain historical steel grade flow data according to steel grade parameter data;

[0092] Specifically, the steel grade parameter data is loaded from the database, and the relevant historical steel grade flow data is retrieved from the historical database according to the steel grade parameter data.

[0093] S22, extracting characteristics according to historical steel grade flow data to obtain historical steel grade flow characteristic data;

[0094] Specifically, key characteristics such as mean, maximum, minimum, standard deviation, etc. are extracted from historical steel grade flow data.

[0095] S23, performing parameter mapping according to historical steel grade flow characteristic data and steel grade parameter data to obtain steel grade flow parameter mapping data;

[0096] Specifically, parameter mapping is performed based on historical steel grade flow characteristic data and steel grade parameter data to obtain steel grade flow parameter mapping data.

[0097] S24, constructing a regression model according to the steel grade flow parameter mapping data to obtain a steel grade flow parameter identification model;

[0098] Specifically, according to the mapping data, a regression model is used to build a model to obtain a steel grade flow parameter identification model.

[0099] S25. Using a steel grade flow parameter identification model, identify the steel grade parameter data and the valve characteristic parameter data to obtain first flow interval threshold data.

[0100] Specifically, the constructed regression model is used to identify the steel type parameter data and the valve characteristic parameter data to obtain the first flow interval threshold data.

[0101] The present invention ensures the accuracy of flow control and improves the stability of the production process through accurate threshold judgment and control signal generation. Through automated data analysis and model building, manual intervention is reduced and the automation level of the system is improved. Rapid response to changes in flow demand ensures the continuity and efficiency of the production process. Accurate flow control reduces resource waste and improves production efficiency and economic benefits. Stable flow control improves the quality of the ingot and reduces defects and scrap rates. The model and threshold are continuously optimized using historical data and real-time data to ensure continuous improvement of system performance.

[0102] Optionally, S4 includes:

[0103] S41, constructing a large-diameter valve flow model according to preset large-diameter flow data and valve characteristic parameter data to obtain a large-diameter valve flow model;

[0104] Specifically, preset large-diameter flow data and valve characteristic parameter data are loaded from the database. Key characteristics, such as flow coefficient, opening, etc., are extracted from the large-diameter flow data. The large-diameter valve flow model is constructed using the extracted characteristic data.

[0105] S42, constructing a small-diameter valve flow model according to preset small-diameter flow data and valve characteristic parameter data to obtain a small-diameter valve flow model;

[0106] Specifically, preset small-diameter flow data and valve characteristic parameter data are loaded from the database. Key characteristics such as flow coefficient, opening, etc. are extracted from the small-diameter flow data. The small-diameter valve flow model is constructed using the extracted characteristic data.

[0107] S43, performing flow distribution calculation according to flow demand data, large-diameter valve flow model, and small-diameter valve flow model to obtain valve flow distribution data for dual-diameter regulating valve control operation;

[0108] Specifically, flow demand data, large-diameter and small-diameter valve flow models are loaded. The large-diameter and small-diameter valve flow models are used to perform flow distribution calculations according to the flow demand data. According to the flow distribution data, control signals of the large-diameter and small-diameter regulating valves are generated.

[0109] Using historical data and valve characteristic parameters, flow models for large and small diameter valves are constructed. These models describe the flow that the valve can provide under different opening conditions. Real-time acquisition of current flow demand data, which is calculated by sensors and computer systems. Based on the flow demand data, large and small diameter valve flow models are used for calculation to determine the best opening combination of the two valves to meet the total flow demand.

[0110] Through historical data analysis and model construction, the flow characteristic curves of the following two valves are obtained: Large diameter valve flow model: Q L =α L O L +b L , Q L is the flow data of large-diameter valve, α L is the weight data of large-diameter valves, O L is the characteristic data of the large-diameter valve opening, b L It is the flow correction item for large diameter valves.

[0111] Large diameter valve flow model: Q S =α S O S +b S , Q S is the flow data of small-diameter valve, α S is the weight data of small-diameter valves, Q S is the characteristic data of the opening degree of the small-diameter valve, b S It is the flow correction item for small diameter valves.

[0112] According to the flow demand data and valve flow model, determine the opening combination of large-diameter and small-diameter valves to meet the total flow demand. The goal is to find the real-time flow demand data Q D =Q L +QS . Initial conditions: Set Q L and Q S The initial value of Q can usually start from 0. Optimization process: Use an optimization algorithm (such as gradient descent) to adjust Q L and Q S , so that Q L +Q S As close to Q as possible D .

[0113] Large diameter valve model parameters: α L =1.5, b L = 0. Small diameter valve model parameters: α S =0.5, b S = 0. Current flow demand: Q D =100L / min, Q L =0,Q S = 0. Assume that optimization is performed by gradually increasing the opening: increasing Q L To 50: Q L =1.5×50+0=75L / min. At this time, Q S =100-75=25L / min. Increase Q S To 50%: QS = 0.5 × 50 + 0 = 25L / min. At this time, Q L +Q S =75+25=100L / min. Therefore, the best opening combination is: large diameter valve opening Q L =50%. Small diameter valve opening Q S =50%.

[0114] In the present invention, by constructing and applying the flow model of large-diameter and small-diameter valves, accurate control of flow demand can be achieved, and the stability of the production process can be improved. The process of flow distribution and valve control is highly automated, reducing manual intervention and improving the automation level of the system. Through real-time data and model calculation, changes in flow demand can be quickly responded to ensure the continuity and efficiency of the production process. Accurate flow control reduces resource waste and improves production efficiency and economic benefits. Stable flow control improves the quality of the ingot and reduces defects and scrap rates. The model and control strategy are continuously optimized using historical data and real-time data to ensure continuous improvement of system performance.

[0115] Optionally, the large-diameter valve flow model construction includes:

[0116] S411, acquiring historical large-diameter flow data according to preset large-diameter flow data and valve characteristic parameter data;

[0117] Specifically, the preset large-diameter flow rate data and valve characteristic parameter data are loaded from the database. According to the preset large-diameter flow rate data and valve characteristic parameter, relevant historical flow rate data are retrieved from the historical database.

[0118] S412, extracting flow characteristics and opening characteristics according to historical large-diameter flow data, and obtaining large-diameter flow characteristic data and large-diameter opening characteristic data;

[0119] Specifically, key flow characteristics are extracted from historical large-diameter flow data, such as average value, maximum value, minimum value, standard deviation, etc. Feature data related to valve opening, such as opening value, opening change rate, etc., are extracted from historical data.

[0120] S413, constructing a large-diameter valve flow regression model based on the large-diameter flow characteristic data and the large-diameter opening characteristic data to obtain a large-diameter valve flow model.

[0121] Specifically, the flow characteristic data and the opening characteristic data are integrated into a comprehensive characteristic data set. The extracted characteristic data are used to build a large-diameter valve flow regression model. The model is trained using historical data, and the model parameters are adjusted to minimize the prediction error. The trained regression model is verified using a test data set to evaluate the accuracy and robustness of the model.

[0122] The present invention uses historical data and preset parameters to build a model, ensuring that the model has a strong data foundation and prediction capabilities. The constructed flow model can accurately predict flow demand and improve the accuracy and stability of flow control. Through automated data extraction and model building, the efficiency and response speed of flow control decisions are improved. Accurate flow prediction and control can reduce resource waste and improve production efficiency and economic benefits. Through stable flow control, the quality of the ingot is improved, and defects and scrap rates are reduced. Using continuously updated data and models, the flow control strategy can be continuously optimized to ensure the continuous improvement of system performance.

[0123] Optionally, the small-diameter valve flow model construction includes:

[0124] S421, acquiring historical small-diameter flow data according to preset small-diameter flow data and valve characteristic parameter data;

[0125] Specifically, the preset small-diameter flow rate data and valve characteristic parameter data are loaded from the database. According to the preset small-diameter flow rate data and valve characteristic parameter, the relevant historical flow rate data are retrieved from the historical database.

[0126] S422, extracting flow characteristics and opening characteristics according to historical small-diameter flow data to obtain small-diameter flow characteristic data and small-diameter opening characteristic data;

[0127] Specifically, key flow characteristics are extracted from historical small-diameter flow data, such as average value, maximum value, minimum value, standard deviation, etc. Feature data related to valve opening are extracted from historical data, such as opening value, opening change rate, etc. Flow feature data and opening feature data are integrated into a comprehensive feature data set.

[0128] S423, constructing a small-diameter valve flow regression model based on the small-diameter flow characteristic data and the small-diameter opening characteristic data to obtain a small-diameter valve flow model.

[0129] Specifically, the extracted feature data is used to build a small-diameter valve flow regression model. The model is trained using historical data, and the model parameters are adjusted to minimize the prediction error. The trained regression model is validated using a test data set to evaluate the accuracy and robustness of the model.

[0130] The present invention uses historical data and preset parameters to build a model, ensuring that the model has a strong data foundation and prediction ability. The constructed small-diameter flow model can accurately predict flow demand and improve the accuracy and stability of flow control. Through automated data extraction and model building, the efficiency and response speed of flow control decisions are improved. Accurate flow prediction and control can reduce resource waste, improve production efficiency and economic benefits. Through stable flow control, the quality of the ingot is improved, and defects and scrap rates are reduced.

[0131] Optionally, the step of generating the preset second flow interval threshold data includes:

[0132] Perform weighted calculation based on valve characteristic parameter data and first flow interval threshold data to obtain second flow interval threshold data; or,

[0133] Specifically, load valve characteristic parameter data from a database. Load first flow interval threshold data from a database. Perform weighted calculation based on valve characteristic parameter data and first flow interval threshold data. def calculate_second_threshold(valve_characteristics,first_threshold):weights=valve_characteristics['weights'];second_threshold=sum(w*ft for w,ft in zip(weights,first_threshold));return second_threshold.

[0134] Perform characteristic curve fitting according to the small-diameter valve characteristic parameter data in the valve characteristic parameter data to obtain the small-diameter valve characteristic curve data;

[0135] Specifically, the characteristic parameter data of the small-diameter valve is loaded from the database, and the characteristic curve fitting is performed according to the characteristic parameter data of the small-diameter valve.

[0136] Extract curve features according to the characteristic curve data of the small-diameter valve to obtain the characteristic data of the small-diameter valve;

[0137] Specifically, the fitted characteristic curve model is used for prediction to obtain the characteristic curve data of the small-diameter valve.

[0138] A weighted calculation is performed based on the characteristic feature data of the small-diameter valve and the first flow interval threshold data to obtain the second flow interval threshold data.

[0139] Specifically, the first flow interval threshold data is loaded from the database (if it has been loaded before, this step can be skipped). A weighted calculation is performed based on the small-diameter valve characteristic feature data and the first flow interval threshold data to obtain the second flow interval threshold data.

[0140] In the present invention, by using weighted calculation and characteristic curve fitting and other methods, the second flow interval threshold data can be accurately generated to ensure the accuracy of flow control. Both method one and method two comprehensively consider the influence of valve characteristic parameters and the first flow interval threshold data, and improve the scientificity and rationality of the threshold data. The historical data and characteristic parameter data are used for calculation and fitting to ensure that the generated threshold data has a strong data basis and prediction ability. Rapid generation and verification of threshold data can improve the efficiency and response speed of flow control decisions. Accurate flow control can reduce resource waste, improve production efficiency and economic benefits. Stable flow control improves the quality of the ingot and reduces defects and scrap rates.

[0141] Optionally, the present application further provides an automatic control system for a continuous casting secondary cooling water all steel grade wide flow range regulating valve, which is used to execute the automatic control method for the continuous casting secondary cooling water all steel grade wide flow range regulating valve as described above, and the automatic control system for the continuous casting secondary cooling water all steel grade wide flow range regulating valve comprises:

[0142] A flow demand data collection module, used to obtain flow demand data;

[0143] A large-diameter regulating valve control operation module is used to determine whether the flow demand data is greater than or equal to the preset first flow interval threshold data, and when it is determined that the flow demand data is greater than the preset first flow interval threshold data, the large-diameter regulating valve control operation is performed according to the preset large-diameter flow data;

[0144] A flow interval threshold judgment module is used to determine whether the flow demand data is greater than or equal to a preset second flow interval threshold data if the flow demand data is less than a preset first flow interval threshold data;

[0145] A dual-diameter regulating valve control operation module is used to determine that when the flow demand data is greater than or equal to the preset second flow interval threshold data, perform a dual-diameter regulating valve control operation according to the preset large-diameter flow data and the preset small-diameter flow data;

[0146] The small-diameter regulating valve control operation module is used to determine that when the flow demand data is less than the preset second flow interval threshold data, the small-diameter regulating valve control operation is performed according to the preset small-diameter flow data.

[0147] Optionally, the present application further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the method as described in any one of the above items.

[0148] Optionally, the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the method as described in any of the above items when running.

[0149] The purpose of the present invention is to improve the accuracy of flow control by graded judgment, and ensure that the most appropriate control strategy can be adopted under different flow requirements. According to different flow intervals, large-diameter regulating valves, small-diameter regulating valves and dual-diameter regulating valves are used for flow control to ensure the accuracy of flow control. Real-time data processing can respond to changes in flow demand in a timely manner and avoid the impact of flow fluctuations on system operation. By constructing a large-diameter valve flow model and a small-diameter valve flow model, valve control is performed based on the model to ensure the scientificity and stability of the control strategy. The model-driven control strategy can accurately predict flow demand, reduce valve control errors, and improve the stability of the system. The preset first and second flow interval threshold data are generated through steps such as historical data analysis, feature extraction and model construction to ensure the scientificity and reliability of threshold data. The multi-level threshold generation method improves the accuracy of threshold data and ensures the stability and reliability of the flow control strategy. Flow distribution calculation is performed according to the large-diameter and small-diameter valve flow models to obtain the best valve flow distribution data to ensure efficient use of resources.

[0150] Therefore, from any point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the attached application documents rather than the above description, and it is intended that all changes falling within the meaning and scope of equivalent elements of the application documents are included in the present invention.

[0151] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be 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 the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An automatic control method for a wide flow range regulating valve for all steel grades of secondary cooling water in continuous casting, characterized in that: The method comprises: S1. Obtaining traffic demand data; S2, judging whether the flow demand data is greater than or equal to the preset first flow interval threshold data, and when it is determined that the flow demand data is greater than the preset first flow interval threshold data, performing a large-diameter regulating valve control operation according to the preset large-diameter flow data; S3, if it is determined that the flow demand data is less than the preset first flow interval threshold data, then it is determined whether the flow demand data is greater than or equal to the preset second flow interval threshold data; S4, when it is determined that the flow demand data is greater than or equal to the preset second flow interval threshold data, the dual-diameter regulating valve control operation is performed according to the preset large-diameter flow data and the preset small-diameter flow data; S5. When it is determined that the flow demand data is less than the preset second flow interval threshold data, the small-diameter regulating valve control operation is performed according to the preset small-diameter flow data.

2. The method according to claim 1, characterized in that S1 includes: Obtain steel grade parameter data and valve characteristic parameter data; The flow demand is calculated based on the steel grade parameter data and the valve characteristic parameter data to obtain the flow demand data.

3. The method according to claim 2, characterized in that S2 include: Determine whether the flow demand data is greater than or equal to a preset first flow interval threshold data; When it is determined that the flow demand data is greater than the preset first flow interval threshold data, a large-diameter regulating valve signal is generated according to the preset large-diameter flow data to perform a large-diameter regulating valve control operation; The preset first flow interval threshold data is generated in the following manner: Obtain historical steel grade flow data based on steel grade parameter data; Extract characteristics based on historical steel grade flow data to obtain historical steel grade flow characteristic data; Parameter mapping is performed based on historical steel grade flow characteristic data and steel grade parameter data to obtain steel grade flow parameter mapping data; A regression model is constructed based on the steel grade flow parameter mapping data to obtain a steel grade flow parameter identification model; The steel grade flow parameter identification model is used to identify the steel grade parameter data and the valve characteristic parameter data to obtain the first flow interval threshold data.

4. The method according to claim 2, characterized in that: S4 includes: A large-diameter valve flow model is constructed according to preset large-diameter flow data and valve characteristic parameter data to obtain a large-diameter valve flow model; A small-diameter valve flow model is constructed according to preset small-diameter flow data and valve characteristic parameter data to obtain a small-diameter valve flow model; Flow distribution calculation is performed based on flow demand data, large-diameter valve flow model and small-diameter valve flow model to obtain valve flow distribution data for dual-diameter regulating valve control operations.

5. The method according to claim 4, characterized in that The construction of the flow model for large-diameter valves includes: Obtain historical large-diameter flow data based on preset large-diameter flow data and valve characteristic parameter data; Flow characteristic extraction and opening characteristic extraction are performed based on historical large-diameter flow data to obtain large-diameter flow characteristic data and large-diameter opening characteristic data; A large-diameter valve flow regression model is constructed based on the large-diameter flow characteristic data and the large-diameter opening characteristic data to obtain a large-diameter valve flow model.

6. The method according to claim 4, characterized in that The construction of small-diameter valve flow model includes: Acquire historical small-diameter flow data according to preset small-diameter flow data and valve characteristic parameter data; Flow characteristic extraction and opening characteristic extraction are performed based on historical small-diameter flow data to obtain small-diameter flow characteristic data and small-diameter opening characteristic data; A small-diameter valve flow regression model is constructed based on the small-diameter flow characteristic data and the small-diameter opening characteristic data to obtain a small-diameter valve flow model.

7. The method according to claim 1, characterized in that The step of generating the preset second flow interval threshold data includes: Perform weighted calculation based on valve characteristic parameter data and first flow interval threshold data to obtain second flow interval threshold data; or, Perform characteristic curve fitting according to the small-diameter valve characteristic parameter data in the valve characteristic parameter data to obtain the small-diameter valve characteristic curve data; Extract curve features according to the characteristic curve data of the small-diameter valve to obtain the characteristic data of the small-diameter valve; A weighted calculation is performed based on the characteristic feature data of the small-diameter valve and the first flow interval threshold data to obtain the second flow interval threshold data.

8. An automatic control system for a continuous casting secondary cooling water all-steel wide flow range regulating valve, characterized in that: Used to execute the automatic control method for the continuous casting secondary cooling water all steel grades wide flow range regulating valve as claimed in claim 1, the automatic control system for the continuous casting secondary cooling water all steel grades wide flow range regulating valve comprises: A flow demand data collection module, used to obtain flow demand data; A large-diameter regulating valve control operation module is used to determine whether the flow demand data is greater than or equal to the preset first flow interval threshold data, and when it is determined that the flow demand data is greater than the preset first flow interval threshold data, the large-diameter regulating valve control operation is performed according to the preset large-diameter flow data; A flow interval threshold judgment module is used to determine whether the flow demand data is greater than or equal to a preset second flow interval threshold data if the flow demand data is less than a preset first flow interval threshold data; A dual-diameter regulating valve control operation module is used to determine that when the flow demand data is greater than or equal to the preset second flow interval threshold data, perform a dual-diameter regulating valve control operation according to the preset large-diameter flow data and the preset small-diameter flow data; The small-diameter regulating valve control operation module is used to determine that when the flow demand data is less than the preset second flow interval threshold data, the small-diameter regulating valve control operation is performed according to the preset small-diameter flow data.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 7 when executed.

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