A crystallizer water cooling control system

Abstract

The application discloses a crystallizer water cooling control system and relates to the technical field of crystallizer control, which solves the technical problem that the self characteristics of the crystallizer cannot be analyzed when the crystallizer is water cooled, and the use efficiency of the crystallizer is reduced, specifically, a cooling efficiency analysis unit is used to analyze the cooling efficiency of the crystallizer, record the operation period of the crystallizer, acquire the water cooling time of the crystallizer in the operation period, collect continuous cooling data and cooling effect data, and analyze and deduce whether the cooling efficiency is qualified according to the data; a water cooling control efficiency evaluation unit is used to evaluate the water cooling control efficiency of the crystallizer; a forming control element evaluation unit is used to evaluate the aluminum liquid forming control element in combination with the control strategy of the crystallizer; and an aluminum liquid forming detection unit is used to detect the aluminum liquid subjected to the water cooling control of the crystallizer.

Description

Technical Field

[0001] This invention relates to the field of crystallizer control technology, specifically to a crystallizer water-cooling control system. Background Technology

[0002] A crystallizer is a device used in industrial production to achieve solution crystallization and transform substances from a liquid or gaseous state into solid crystals. It is widely used in metallurgy, chemical industry, pharmaceutical industry and other fields. In the aluminum coil production process, molten aluminum flows into the forming tank through the molten aluminum guide tank. After the molten aluminum on the top of the forming tank cools and solidifies, the hydraulic lifting mechanism drives the forming tank to slowly move down until the forming tank is filled with molten aluminum. This can achieve the gradual cooling of molten aluminum from bottom to top, which improves the casting efficiency of aluminum blocks.

[0003] However, in the existing technology, when the crystallizer is water-cooled, its own characteristics cannot be analyzed, which reduces the efficiency of the crystallizer. At the same time, it is impossible to use aluminum liquid forming as the data acquisition direction for the evaluation of control elements, and it is impossible to detect the control strategy of the crystallizer. Furthermore, when the control strategy is qualified, it is impossible to detect and analyze the execution of the control strategy.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above by providing a crystallizer water cooling control system.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A water-cooling control system for a crystallizer includes a control center, which is connected to:

[0008] The cooling efficiency analysis unit analyzes the cooling efficiency of the crystallizer, records the crystallizer's operating period, obtains the water cooling time of the crystallizer during the operating period, collects continuous cooling data and cooling effect data, and infers whether the cooling efficiency is qualified based on data analysis.

[0009] The water cooling control efficiency evaluation unit evaluates the efficiency of the water cooling control of the crystallizer. During the closed-loop control stage of the crystallizer for aluminum liquid, when the real-time temperature of aluminum liquid fluctuates with the conditional temperature, it collects closed-loop adjustment information and closed-loop impact information, and infers whether the water cooling control efficiency is qualified based on the information comparison.

[0010] The forming control element evaluation unit evaluates the aluminum liquid forming control elements in conjunction with the crystallizer control strategy, collects the control span influence parameters and the defect risk influence parameters, and makes evaluation and adjustments based on parameter comparison;

[0011] The aluminum liquid forming detection unit performs forming detection on the aluminum liquid controlled by the water cooling of the crystallizer, collects abnormal data on the outer surface and the inner surface, and performs detection and adjustment of control strategies based on data analysis.

[0012] In a preferred embodiment of the present invention, the continuous cooling data and the cooling effect data are respectively the speed deviation value of the aluminum liquid temperature drop rate during the first circulation cycle of the cooling medium and the aluminum liquid temperature drop rate during non-first circulation cycles, and the temperature ratio deviation corresponding to repeated circulation at different contact positions of the aluminum liquid in the cooling medium circulation path.

[0013] In a preferred embodiment of the present invention, if the continuous cooling data exceeds the speed deviation threshold, or the cooling effect data exceeds the temperature proportion deviation threshold, a cooling abnormality signal is generated and sent to the control center; if the continuous cooling data does not exceed the speed deviation threshold, and the cooling effect data does not exceed the temperature proportion deviation threshold, a cooling normal signal is generated and sent to the control center.

[0014] In a preferred embodiment of the present invention, the closed-loop adjustment information and the closed-loop influence information are respectively the buffer time between the moment when the numerical fluctuation trend is generated and the moment when the water cooling control trend is adjusted under the closed-loop control cycle of the crystallizer, and the percentage of time during which the real-time temperature of the aluminum liquid deviates from the conditional temperature within the buffer time.

[0015] In a preferred embodiment of the present invention, if the closed-loop adjustment information exceeds the buffer duration threshold, or the closed-loop impact information exceeds the duration percentage threshold, a control environment risk signal is generated and sent to the control center; if the closed-loop adjustment information does not exceed the buffer duration threshold, and the closed-loop impact information does not exceed the duration percentage threshold, a control environment safety signal is generated and sent to the control center.

[0016] In a preferred embodiment of the present invention, the operation process of the molding control element evaluation unit is as follows:

[0017] Based on the current processing requirements of aluminum coils, the processing is divided into two types: high plasticity requirement and high strength requirement. The cooling rate of the crystallizer control strategy is further divided into high-speed cooling and low-speed cooling based on the processing requirement type. The temperature range for high-speed and low-speed cooling corresponding to the current crystallizer is collected, and temperature range analysis is performed based on the different aluminum coil types adapted to the crystallizer. When processing different types of aluminum coils with their corresponding cooling rate types, the minimum interval between the required temperature control span of the molten aluminum and the critical value of the temperature range interval for the corresponding non-corresponding cooling rate type is collected and marked as the control span influence parameter. The frequency of defects generated after the molten aluminum is formed when the temperature gradient under the current crystallizer control strategy is used for cooling control is obtained and marked as the defect risk influence parameter.

[0018] In a preferred embodiment of the present invention, if the control span influence parameter does not exceed the minimum interval threshold, or the shape defect risk influence parameter exceeds the shape defect frequency threshold, a temperature control risk signal is generated and sent to the control center; if the control span influence parameter exceeds the minimum interval threshold, and the shape defect risk influence parameter does not exceed the shape defect frequency threshold, a temperature control safety signal is generated and sent to the control center.

[0019] In a preferred embodiment of the present invention, the external surface abnormality data and the internal surface abnormality data are respectively the increase span of the number of defects occurring at different locations on the external surface during the aluminum liquid forming process in the crystallizer operation stage, and the increase span of the shrinkage area of ​​shrinkage cavities appearing on the internal surface during the aluminum liquid forming process in the crystallizer operation stage.

[0020] In a preferred embodiment of the present invention, if the abnormal data on the outer surface exceeds the threshold for the increase in quantity, or the abnormal data on the inner surface exceeds the threshold for the increase in area, a control strategy adjustment signal is generated and sent to the control center; if the abnormal data on the outer surface does not exceed the threshold for the increase in quantity, and the abnormal data on the inner surface does not exceed the threshold for the increase in area, a control strategy normal signal is generated and sent to the control center.

[0021] Compared with the prior art, the beneficial effects of the present invention are:

[0022] 1. In this invention, the cooling efficiency of the crystallizer is analyzed. The analysis of cooling efficiency is used to infer whether the current type of crystallizer is suitable for the current aluminum coil production. This is to prevent the aluminum liquid forming efficiency from being abnormal during the aluminum coil processing due to the inability of the cooling efficiency to be suitable, which would lead to an increase in the defect rate of aluminum coil products. At the same time, the cooling efficiency analysis can also detect the operating efficiency of the crystallizer in real time, so as to carry out timely operation and maintenance of the crystallizer and avoid hardware wear caused by abnormal operation.

[0023] The efficiency of water cooling control for the crystallizer is evaluated. By evaluating the water cooling control efficiency, it can be inferred whether the water cooling control efficiency for the aluminum liquid under the qualified performance of the crystallizer meets the actual requirements. This ensures that the water cooling control efficiency of the crystallizer is adapted to the current aluminum liquid forming, avoiding mismatch in water cooling control that would lead to a decline in the quality of aluminum liquid forming. The water cooling control efficiency can also be used to infer whether the current aluminum liquid can meet the different temperature requirements, thereby improving the satisfaction of the forming environment conditions for the aluminum liquid.

[0024] 2. In this invention, the control elements of aluminum liquid forming are evaluated in conjunction with the control strategy of the crystallizer. The evaluation of the control elements is used to infer whether the current control strategy of the crystallizer meets the requirements of aluminum liquid forming, so as to adjust and improve the water cooling control efficiency in a timely manner, and avoid defects or flaws in aluminum liquid forming, thereby affecting the production and processing of aluminum coils.

[0025] Formation detection is performed on the aluminum liquid under water cooling control in the crystallizer. The formation of aluminum liquid is inferred from the formation detection. If abnormalities still occur when the water cooling control strategy of the crystallizer is satisfied, it is inferred that there is a deviation in the execution of the control strategy. This allows for targeted adjustment of the control strategy. Repeated iteration can improve the forming quality of aluminum liquid, increase the processing efficiency of aluminum coils, and enable timely and targeted adjustment of the control strategy, thereby enhancing the quality of use of the crystallizer. Attached Figure Description

[0026] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0027] Figure 1 This is a schematic diagram illustrating the principle of the water-cooling control characteristics of the present invention.

[0028] Figure 2 This is a schematic diagram illustrating the principle of aluminum liquid forming direction in this invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0031] Example 1

[0032] Precise control is required for the cooling and forming of molten aluminum in aluminum coil production. Please refer to [link / reference]. Figures 1-2 As shown, a crystallizer water cooling control system includes a control center, which is connected to a cooling efficiency analysis unit, a water cooling control efficiency evaluation unit, a forming control element evaluation unit, and an aluminum liquid forming detection unit.

[0033] The cooling efficiency analysis unit is used to analyze the cooling efficiency of the crystallizer. By analyzing the cooling efficiency, it can be inferred whether the current type of crystallizer is suitable for the current aluminum coil production. If the cooling efficiency is not suitable, it will cause abnormal aluminum liquid forming efficiency during aluminum coil processing, resulting in an increase in the defect rate of aluminum coil products. At the same time, the cooling efficiency analysis can also detect the operating efficiency of the crystallizer in real time, so as to perform timely operation and maintenance of the crystallizer and avoid hardware wear caused by abnormal operation.

[0034] Record the operation period of the crystallizer, obtain the time when the crystallizer is water-cooled during the operation period, that is, the operation time when the cooling medium circulates to reduce the temperature. When the crystallizer circulates the cooling medium during the water-cooling time, collect the speed deviation value between the aluminum liquid temperature drop rate during the first cycle of the cooling medium and the aluminum liquid temperature drop rate during non-first cycle execution. At the same time, obtain the temperature reduction percentage deviation corresponding to the repeated circulation at different contact positions of the aluminum liquid in the cooling medium circulation path. It should be explained that the temperature percentage deviation represents the ratio of the current temperature reduction of the aluminum liquid to the original temperature.

[0035] The deviations between the rate of temperature drop of the molten aluminum during the first circulation cycle and the rate of temperature drop during subsequent circulation cycles, as well as the deviations in the proportion of temperature reduction at different contact points of the molten aluminum within the cooling medium circulation path, are respectively labeled as continuous cooling data and cooling effect data. These are then compared with the rate deviation threshold and the temperature proportion deviation threshold, respectively.

[0036] If the rate of temperature drop of the molten aluminum during the first circulation cycle of the cooling medium deviates from the rate of temperature drop during subsequent circulation cycles by more than a rate deviation threshold, or if the percentage of temperature reduction achieved by repeated circulations at different contact points of the molten aluminum within the cooling medium circulation path deviates from the percentage of temperature reduction by more than a temperature percentage deviation threshold, it is inferred that the cooling efficiency of the crystallizer is abnormal during the current operating period. A cooling anomaly signal is then generated and sent to the control center. Upon receiving the cooling anomaly signal, the control center shortens the cooling medium circulation path of the crystallizer and adjusts the circulation cycle to improve the cooling efficiency of a single circulation cycle.

[0037] If the speed deviation between the aluminum liquid temperature drop rate during the first circulation cycle and the aluminum liquid temperature drop rate during subsequent circulation cycles does not exceed the speed deviation threshold, and the temperature ratio deviation of the aluminum liquid at different contact positions within the cooling medium circulation path does not exceed the temperature ratio deviation threshold, then it is inferred that the cooling efficiency of the crystallizer during the current operating period is normal, and a normal cooling signal is generated and sent to the control center.

[0038] After completing the cooling efficiency test of the crystallizer, the water cooling control efficiency evaluation unit evaluates the efficiency of the water cooling control of the crystallizer. The water cooling control efficiency evaluation infers whether the water cooling control efficiency of the aluminum liquid under the qualified performance of the crystallizer meets the actual requirements, thereby ensuring that the water cooling control efficiency of the crystallizer is suitable for the current aluminum liquid forming, avoiding the occurrence of water cooling control mismatch, which will cause the aluminum liquid forming quality to decline. The water cooling control efficiency can infer whether the current aluminum liquid can meet the different temperature requirements, thereby improving the satisfaction of the forming environment conditions of the aluminum liquid.

[0039] During the closed-loop control phase of the aluminum melt in the crystallizer, when the real-time temperature of the aluminum melt fluctuates relative to the conditional temperature, the buffer duration at the moment when the fluctuation trend occurs and the water cooling control trend adjusts under the closed-loop control cycle of the crystallizer is obtained. Simultaneously, the percentage of time within the buffer duration where the real-time temperature of the aluminum melt deviates from the conditional temperature is obtained. The buffer duration at the moment when the fluctuation trend occurs and the water cooling control trend adjusts under the closed-loop control cycle, and the percentage of time within the buffer duration where the real-time temperature of the aluminum melt deviates from the conditional temperature are respectively marked as closed-loop adjustment information and closed-loop influence information, and are compared with buffer duration thresholds and duration percentage thresholds, respectively.

[0040] If the buffer time between the moment when the numerical fluctuation trend is generated and the moment when the water cooling control trend is adjusted in the closed-loop control cycle of the crystallizer exceeds the buffer time threshold, or if the proportion of time during which the real-time temperature of the molten aluminum deviates from the conditional temperature exceeds the time proportion threshold, it is inferred that there is a risk of molten aluminum conditional environment control in the closed-loop control stage of the crystallizer. A control environment risk signal is generated and sent to the control center. After receiving the control environment risk signal, the control center adjusts the water cooling control strategy of the closed-loop control of the crystallizer. That is, it monitors the environmental parameters of the molten aluminum in real time and adjusts the water cooling control in real time according to the fluctuation trend when the environmental parameters fluctuate, so as to reduce the impact of the real-time environmental temperature of the molten aluminum.

[0041] If the buffer time between the moment when the numerical fluctuation trend is generated and the moment when the water cooling control trend is adjusted under the closed-loop control cycle of the crystallizer does not exceed the buffer time threshold, and the proportion of time during which the real-time temperature of the aluminum liquid deviates from the condition temperature does not exceed the proportion threshold, then it is inferred that the control risk of the aluminum liquid condition environment in the closed-loop control stage of the crystallizer is normal, and a control environment safety signal is generated and sent to the control center.

[0042] Example 2

[0043] The previous embodiment tested the water cooling control characteristics of the crystallizer, and after the test was qualified, this embodiment, based on the previous embodiment, collects and analyzes data on aluminum liquid forming to infer the water cooling control efficiency of the crystallizer.

[0044] The forming control element evaluation unit evaluates the aluminum liquid forming control elements in conjunction with the crystallizer's control strategy. By evaluating the control elements, it infers whether the current crystallizer's control strategy meets the requirements of aluminum liquid forming, so as to adjust and improve the water cooling control efficiency in a timely manner and avoid defects or flaws in aluminum liquid forming, thereby affecting the production and processing of aluminum coils.

[0045] Based on the current processing requirements of aluminum coils, they are divided into two types: high plasticity requirements and high strength requirements. The cooling rate of the crystallizer control strategy is divided into high-speed cooling and low-speed cooling according to the processing requirements. The temperature range of the current crystallizer corresponding to high-speed cooling and low-speed cooling is collected, and the temperature range is analyzed according to the different types of aluminum coils adapted to the crystallizer.

[0046] When processing different types of aluminum coils with corresponding cooling rate types, the lowest interval between the required temperature control span of the molten aluminum and the critical value of the temperature range interval of the non-corresponding cooling rate type is collected. It should be explained that if the cooling rate type is high-speed cooling, then the non-corresponding cooling rate type is low-speed cooling. At the same time, the high-speed cooling type and the corresponding cooling rate type range are connected. If the required temperature control span of the molten aluminum is in the high-speed cooling type but close to the low-speed cooling type during actual cooling control, the smaller the temperature interval value under the influence of the environment, the more uncertain the factors will cause the temperature control span to enter the temperature range of low-speed cooling. Therefore, the control strategy of the crystallizer or the type of crystallizer is not suitable.

[0047] The frequency of defects generated after aluminum liquid forming is obtained when the temperature gradient under the current crystallizer control strategy is used for cold control. Defects are represented as cracks or porosity.

[0048] The minimum interval between the required temperature control span of the molten aluminum and the critical value of the temperature range interval that is not of the corresponding cooling rate type, and the frequency of defects generated after the molten aluminum is formed when the temperature gradient under the current crystallizer control strategy is used for cooling control, are respectively marked as the control span influence parameter and the defect risk influence parameter, and are compared with the minimum interval threshold and the defect frequency threshold respectively:

[0049] If the minimum interval between the required temperature control span of the molten aluminum and the critical value of the temperature range interval that is not of the corresponding cooling rate type does not exceed the minimum interval threshold, or if the frequency of defects generated after the molten aluminum is formed exceeds the defect frequency threshold when the temperature gradient under the current crystallizer control strategy is used for cooling control, it is inferred that the crystallizer used for the current type of molten aluminum forming has a temperature control risk. A temperature control risk signal is generated and sent to the control center. After receiving the signal, the control center changes the type of crystallizer used for the current type of molten aluminum to adjust the temperature span range that distinguishes the cooling rate type, so as to avoid temperature control deviation in the current type of molten aluminum forming, which can easily cause forming defects.

[0050] If the minimum interval between the required temperature control span of the molten aluminum and the critical value of the temperature range interval that is not of the corresponding cooling rate type exceeds the minimum interval threshold, and the frequency of defects generated after the molten aluminum is formed does not exceed the defect frequency threshold when the temperature gradient under the current crystallizer control strategy is used for cooling control, then it is inferred that the crystallizer used for the current type of molten aluminum forming does not have a forming temperature control risk, and a temperature control safety signal is generated and sent to the control center.

[0051] After confirming the compatibility of the control strategy with the crystallizer, the aluminum liquid forming detection unit performs forming detection on the aluminum liquid under the water cooling control of the crystallizer. The forming detection is used to infer whether the aluminum liquid forming is abnormal. If an abnormality still occurs when the water cooling control strategy of the crystallizer is satisfied, it is inferred that there is a deviation in the execution of the control strategy, so that the execution of the control strategy can be adjusted in a targeted manner. This process can be repeated to improve the forming quality of aluminum liquid, increase the processing efficiency of aluminum coils, and enable timely and targeted adjustment of the execution of the control strategy, thereby enhancing the quality of use of the crystallizer.

[0052] The data collection included the increase in the number of defects occurring at different locations on the outer surface during the aluminum molten forming process in the crystallizer operation phase, and the increase in the area of ​​shrinkage cavities appearing on the inner surface during the same process. These increases were then labeled as outer surface anomaly data and inner surface anomaly data, respectively, and compared with thresholds for the increase in the number of defects and the increase in the area of ​​shrinkage cavities.

[0053] If the number of defects occurring at different locations on the outer surface during the aluminum molten forming process in the crystallizer operation phase increases by more than the threshold for the increase in number, or if the area of ​​shrinkage cavities at the locations on the inner surface during the aluminum molten forming process in the crystallizer operation phase increases by more than the threshold for the area increase in area, it is inferred that an abnormality has occurred in the aluminum molten forming process. A control strategy adjustment signal is generated and sent to the control center. After receiving the control strategy adjustment signal, the control center adjusts the current control strategy according to its execution to perform quality inspection on subsequent aluminum molten forming processes. When the number of defects decreases to the set error range, the control strategy execution process of the current aluminum coil type and the corresponding crystallizer is matched.

[0054] If the increase in the number of defects at different locations on the outer surface during the aluminum liquid forming process in the crystallizer operation phase does not exceed the threshold for the increase in the number of defects, and the increase in the area of ​​shrinkage cavities at the locations on the inner surface during the aluminum liquid forming process in the crystallizer operation phase does not exceed the threshold for the increase in the area of ​​shrinkage cavities, then it is inferred that the aluminum liquid forming is normal, and a normal control strategy signal is generated and sent to the control center.

[0055] In use, this invention includes: a cooling efficiency analysis unit that analyzes the cooling efficiency of the crystallizer, records the crystallizer's operating period, obtains the water-cooling time during the operating period, collects continuous cooling data and cooling effect data, and infers whether the cooling efficiency is qualified based on data analysis; a water-cooling control efficiency evaluation unit that evaluates the efficiency of the crystallizer's water-cooling control, and during the closed-loop control phase of the crystallizer over the aluminum liquid, when the real-time temperature of the aluminum liquid fluctuates with the conditional temperature, collects closed-loop adjustment information and closed-loop influence information, and infers whether the water-cooling control efficiency is qualified based on information comparison; a forming control element evaluation unit that evaluates the aluminum liquid forming control elements in conjunction with the crystallizer's control strategy, collects control span influence parameters and defect risk influence parameters, and makes evaluation adjustments based on parameter comparison; and an aluminum liquid forming detection unit that performs forming detection on the aluminum liquid under the water-cooling control of the crystallizer, collects external surface abnormality data and internal surface abnormality data, and makes detection adjustments to the control strategy execution based on data analysis.

[0056] Thresholds, preset values, preset ranges, etc. are set for result comparison and analysis to determine whether they are good or bad. The value of these thresholds is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influences.

[0057] Furthermore, the settings for weighting ratios, influence factors, etc., are based on the magnitude of each parameter's influence on the results. The specific values ​​are allocated to ultimately reflect the impact on the results. The settings for input and storage are also determined by a combination of large-scale model analysis of sample data and human experience. Appropriate adjustments can also be made based on seasonal or rational influence conditions.

[0058] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A crystallizer water cooling control system, characterized by, The control center is connected with: The cooling efficiency analysis unit analyzes the cooling efficiency of the crystallizer, records the operation period of the crystallizer, obtains the water cooling time of the crystallizer in the operation period, collects continuous cooling data and cooling effect data, and analyzes the data to determine whether the cooling efficiency is qualified; the continuous cooling data and the cooling effect data are respectively the speed deviation value of the temperature drop speed of the aluminum liquid when the cooling medium is executed for the first time and the temperature drop speed of the aluminum liquid when the cooling medium is executed for the second time, and the temperature proportion deviation of the aluminum liquid at different contact positions in the cooling medium circulation path. If the continuous cooling data exceeds the speed deviation threshold value, or the cooling effect data exceeds the temperature proportion deviation threshold value, a cooling abnormal signal is generated and sent to the control center; if the continuous cooling data does not exceed the speed deviation threshold value, and the cooling effect data does not exceed the temperature proportion deviation threshold value, a cooling normal signal is generated and sent to the control center. The water cooling control efficiency evaluation unit evaluates the water cooling control efficiency of the crystallizer. When the real-time temperature of the aluminum liquid and the condition temperature fluctuate, the closed-loop adjustment information and the closed-loop influence information are collected, and the water cooling control efficiency is evaluated according to the information comparison; the closed-loop adjustment information and the closed-loop influence information are respectively the buffer length when the numerical fluctuation trend occurs and the water cooling control trend adjustment time, and the length proportion of the aluminum liquid real-time temperature and the condition temperature deviation in the buffer length. If the closed-loop adjustment information exceeds the buffer length threshold value, or the closed-loop influence information exceeds the length proportion threshold value, a control environment risk signal is generated and sent to the control center; if the closed-loop adjustment information does not exceed the buffer length threshold value, and the closed-loop influence information does not exceed the length proportion threshold value, a control environment safety signal is generated and sent to the control center. The forming control element evaluation unit evaluates the aluminum liquid forming control element according to the control strategy of the crystallizer, collects the control span influence parameter and the shape defect risk influence parameter, and adjusts according to the parameter comparison; The aluminum liquid forming detection unit detects the aluminum liquid forming of the crystallizer water cooling control, collects the outer surface abnormal data and the inner surface abnormal data, and adjusts the control strategy according to the data analysis.

2. The crystallizer water cooling control system of claim 1, wherein, The operation process of the forming control element evaluation unit is as follows: According to the processing requirements of the current aluminum coil processing type, it is divided into two types of high plasticity demand and high strength demand, and the cooling speed of the crystallizer control strategy is divided into high speed cooling and low speed cooling according to the processing demand type; the temperature range interval corresponding to the high speed cooling and low speed cooling of the current crystallizer is collected, and the temperature range interval analysis is carried out according to the different aluminum coil types adapted by the crystallizer; when the aluminum liquid forming control span and the temperature range interval critical value corresponding to the non-cooling speed type are collected, the lowest interval value is marked as the control span influence parameter, and the shape defect risk influence parameter is marked as the shape defect risk influence parameter.

3. The water cooling control system of a crystallizer according to claim 2, wherein If the control span influence parameter does not exceed the minimum interval threshold value, or the shape defect risk influence parameter exceeds the shape defect frequency threshold value, a temperature control risk signal is generated and sent to the control center; if the control span influence parameter exceeds the minimum interval threshold value, and the shape defect risk influence parameter does not exceed the shape defect frequency threshold value, a temperature control safety signal is generated and sent to the control center.

4. The water cooling control system of a crystallizer according to claim 1, wherein The outer surface abnormal data and the inner surface abnormal data are respectively a position quantity rising span of defects generated at different positions on the outer surface in the aluminum liquid forming process in the crystallizer running stage, and a shrinkage hole area increasing span of shrinkage hole positions appearing on the inner surface in the aluminum liquid forming process in the crystallizer running stage.

5. The mold water cooling control system according to claim 4, wherein If the outer surface abnormal data exceeds the position quantity rising span threshold value, or the inner surface abnormal data exceeds the area increasing span threshold value, a control strategy adjustment signal is generated and sent to the control center; if the outer surface abnormal data does not exceed the position quantity rising span threshold value, and the inner surface abnormal data does not exceed the area increasing span threshold value, a control strategy normal signal is generated and sent to the control center.

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