A Method and System for Controlling the Drawing of Copper Billets Based on Temperature Monitoring

Abstract

This invention relates to the field of automated copper billet casting technology, and particularly to a method and system for controlling the drawing of copper billets based on temperature monitoring. The method includes: real-time acquisition of temperature data sequences from heat exchange monitoring points in each cooling mold; elimination of measurement drift caused by high-temperature moisture environment based on dynamic baseline calibration; generation of a primary abnormal signal for any cooling mold when the temperature at a single point exceeds a preset safety threshold and the duration reaches a first critical time threshold; statistical analysis of the production number and quantity of the abnormal cooling molds based on the distribution of the primary abnormal signals during the drawing process; generation of a secondary linkage control signal based on the production number if the number of primary abnormal signals in a single cooling mold is multiple or exceeds a preset proportion; and sending an emergency stop control signal to the traction machine in response to the secondary linkage control signal. This invention effectively solves the risk of copper billet quality defects and equipment damage caused by temperature runaway.

Description

Technical Field

[0001] This invention relates to the field of automated copper billet casting technology, and in particular to a method and system for controlling the drawing of copper billets based on temperature monitoring. Background Technology

[0002] In the continuous drawing process of copper billets, forced water cooling is used to achieve staged solidification of the billet, and the coordinated temperature control directly determines the crystallization quality of the billet and the safety of the equipment. For production systems with a multi-flow parallel structure, real-time status monitoring and linkage of the cooling dies for each flow are particularly critical.

[0003] Currently, the industry commonly uses sparse thermocouple nodes in the cooling zone, typically monitoring only the inlet or outlet, relying on single-point temperature exceeding a threshold to trigger manual alarms, while the traction machine operates independently according to a fixed program. However, this existing technology has systemic flaws: First, single-point temperature measurement cannot simultaneously capture local temperature anomalies in various multi-flow molds, especially in the second cooling jacket where heat exchange is intense, leading to cooling imbalances that amplify into batch-wide segregation defects. Furthermore, there is no mechanism to determine the duration of over-temperature; transient peak temperatures that are too short are filtered out by noise filtering algorithms, actually causing micro-cracks on the surface of the cast billet. The original thermocouple signals are unverified, and water pressure fluctuations and electromagnetic interference cause false alarms, forcing frequent and unexplained production line shutdowns. Excessive response delays cause hot-temperature cast billets to continuously pass through the cooling mold, leading to copper molten metal sticking to the mold or cooling water vaporization, resulting in cascading equipment damage. These problems collectively contribute to the risk of cast billet quality defects and cascading equipment damage caused by temperature runaway in the multi-flow mold system, necessitating a real-time protection mechanism covering the entire cooling mold.

[0004] The information disclosed in this background section is intended only to enhance the understanding of the general background of this disclosure and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] This invention provides a method and system for controlling the drawing of copper billets based on temperature monitoring, which can effectively solve the problems in the background art.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A method for controlling the drawing of copper billets based on temperature monitoring, the method comprising:

[0008] Real-time acquisition of temperature data sequences from heat exchange monitoring points in each cooling mold; elimination of measurement drift caused by high-temperature water vapor environment based on dynamic baseline calibration.

[0009] Based on the temperature data sequence, when a single point temperature of any cooling mold exceeds a preset safety threshold and the duration reaches a first critical time threshold, a corresponding first-level abnormal signal of the cooling mold is generated.

[0010] Based on the distribution of the first-level abnormal signals during the drawing process, the production number and quantity of the abnormal cooling molds are counted.

[0011] If the number of first-level abnormal signals in a single cooling mold is multiple or the proportion exceeds a preset ratio, a second-level linkage control signal is generated based on the production number.

[0012] In response to the secondary linkage control signal, an emergency stop control signal is sent to the traction machine to interrupt the pulling process.

[0013] Furthermore, the dynamic baseline calibration includes:

[0014] According to the material of the cooling mold, the corresponding thermal expansion parameters are called to obtain the displacement of the heat exchange monitoring point caused by thermal deformation in real time, and the temperature acquisition reference position is corrected.

[0015] When abnormal fluctuations in cooling water flow are detected, the temperature data sequence comparison of adjacent cooling molds is initiated. If the temperature change value of the current cooling mold exceeds the allowable deviation range of the average value of the adjacent cooling molds, it is determined to be water vapor interference.

[0016] The temperature data sequence that is disturbed is compensated by interpolation using the temperature gradient value of the cooling mold upstream of the drawing direction;

[0017] The dynamic baseline calibration is performed during the interval between copper billet drawing cycles to avoid interfering with the real-time control process.

[0018] Further, generating the first-level abnormal signal includes:

[0019] When the temperature at a single point exceeds the preset safety threshold, a spatial weighting coefficient is assigned according to the spatial position of the corresponding heat exchange monitoring point in the cooling mold, and the weighted temperature value is used as the actual judgment value.

[0020] During the process of the actual judgment value lasting until the first critical time threshold is reached, the continuously collected temperature anomaly values ​​are aggregated by time series attenuation weighting to generate aggregated anomaly degree.

[0021] When the aggregation anomaly exceeds the threshold value of the temperature anomaly, and at the same time the temperature anomaly value continuously increases, the first-level anomaly signal is generated.

[0022] Furthermore, the control actions executed in response to the first-level abnormal signal include:

[0023] When the first-level abnormal signal is triggered for the first time, the traction machine is controlled to perform a step-by-step deceleration, and the deceleration gradient is positively correlated with the aggregation anomaly degree.

[0024] If the trigger is repeated within two consecutive pulling cycles, the percentage of the deceleration gradient to the original speed is increased.

[0025] The local cooling water pressure of the cooling mold where the anomaly occurs is simultaneously increased, and the increase in local cooling water pressure is dynamically matched with the deceleration gradient;

[0026] For heat exchange monitoring points where the spatial weight coefficient is greater than the upper limit of the weight, additional directional spray intensity is applied;

[0027] Freeze the current pull-out force setting, and unlock it only when the aggregation anomaly falls back to the safe range.

[0028] Further, a secondary linkage control signal is generated based on the production number, including:

[0029] When at least two of the first-level abnormal signals exist simultaneously in a single cooling mold, it is determined to be a complex abnormal mode;

[0030] When the number of first-level abnormal signals exceeds the upper limit of the proportion of the total number of heat exchange monitoring points of the cooling mold, it is determined to be a cluster abnormal mode.

[0031] Obtain the production number of the cooling mold that triggered the complex anomaly mode and the cluster anomaly mode, and associate the spatial location coordinates of the production line corresponding to the production number;

[0032] Generate the secondary linkage control signal carrying the production number, the abnormal mode type, and the spatial location coordinates.

[0033] Furthermore, the linkage control based on the secondary linkage control signal includes:

[0034] A high-pressure backwashing operation is performed on the cooling mold corresponding to the production number to forcibly activate local water circuit cleaning;

[0035] According to the spatial coordinates, close the cooling water circulation valve of the adjacent cooling mold to concentrate water pressure to the abnormal cooling mold;

[0036] If the complex abnormal mode is detected, the traction machine is controlled to reduce its speed in stages to a safe speed.

[0037] If the cluster is in an abnormal mode, the traction machine's three-level braking procedure will be triggered to execute an emergency stop;

[0038] When the secondary linkage control signal is activated, the corresponding operation of the primary abnormal signal is suspended.

[0039] Furthermore, when the emergency stop control signal is executed, the drawing speed is first reduced to a linear deceleration rate to a safe level; when the temperature gradient exceeds the calculated value of polymerization anomaly, an emergency stop is triggered and the production position of the copper billet is locked.

[0040] Furthermore, the cooling mold includes a first cooling jacket and a second cooling jacket, wherein the heat exchange monitoring points include temperature monitoring positions of the first cooling jacket and the second cooling jacket.

[0041] A temperature-monitored copper billet drawing control system, the system comprising:

[0042] The acquisition and compensation module collects temperature data sequences from heat exchange monitoring points in each cooling mold in real time, and eliminates measurement drift caused by high-temperature water vapor environment based on dynamic baseline calibration.

[0043] The anomaly detection module, based on the temperature data sequence, generates a first-level anomaly signal for any cooling mold when a single point temperature exceeds a preset safety threshold and the duration reaches the first critical time threshold.

[0044] The signal statistics module, based on the distribution of first-level abnormal signals during the drawing process, counts the production number and quantity of the abnormal cooling dies.

[0045] If the number of primary abnormal signals in a single cooling mold is multiple or the proportion exceeds the preset ratio, the linkage control module generates a secondary linkage control signal based on the production number.

[0046] The emergency braking module, in response to the secondary linkage control signal, sends an emergency stop control signal to the tractor to interrupt the pulling process.

[0047] Furthermore, the acquisition compensation module includes:

[0048] The temperature reference unit calls the corresponding thermal expansion parameters according to the material of the cooling mold, obtains the displacement of the heat exchange monitoring point caused by thermal deformation in real time, and corrects the temperature acquisition reference position.

[0049] The comparison and judgment unit detects abnormal fluctuations in cooling water flow and initiates a comparison of temperature data sequences of adjacent cooling molds. If the current temperature change value of the cooling mold exceeds the allowable deviation range of the average value of the adjacent cooling molds, it is determined to be water vapor interference.

[0050] The interpolation compensation unit uses the temperature gradient value of the cooling mold upstream of the drawing direction to interpolate and compensate for the disturbed temperature data sequence.

[0051] The technical solution of this invention can achieve the following technical effects:

[0052] This invention eliminates interference through dynamic calibration and achieves precise positioning of cooling mold anomalies and coordinated control of traction machine staged braking based on production number binding, effectively ensuring the production quality of copper casting billets and improving safety protection efficiency.

[0053] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a flowchart illustrating a method for controlling the drawing of copper billets based on temperature monitoring.

[0056] Figure 2 A schematic diagram of the dynamic baseline calibration process;

[0057] Figure 3 A flowchart illustrating the process of generating a Level 1 anomaly signal;

[0058] Figure 4 A flowchart illustrating the process of generating a two-level linkage control signal. Detailed Implementation

[0059] 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.

[0060] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0061] Example 1;

[0062] like Figure 1 As shown, this application provides a method for controlling the drawing of copper billets based on temperature monitoring. The method includes:

[0063] Real-time acquisition of temperature data sequences from heat exchange monitoring points in each cooling mold; elimination of measurement drift caused by high-temperature water vapor environment based on dynamic baseline calibration.

[0064] Based on the temperature data sequence, when a single point temperature of any cooling mold exceeds a preset safety threshold and the duration reaches the first critical time threshold, a first-level abnormal signal of the corresponding cooling mold is generated.

[0065] Based on the distribution of the first-level abnormal signals during the drawing process, the production number and quantity of the abnormal cooling dies are counted.

[0066] If the number of first-level abnormal signals in a single cooling mold is multiple or the proportion exceeds the preset ratio, a second-level linkage control signal is generated based on the production number.

[0067] In response to the secondary linkage control signal, an emergency stop control signal is sent to the traction machine to interrupt the pulling process.

[0068] Specifically, firstly, real-time temperature data acquisition is achieved by setting multiple heat exchange monitoring points in each cooling mold. These monitoring points preferably use high-precision digital temperature sensors that can continuously capture the current ambient temperature and generate corresponding temperature data sequences. These sensors are connected to a central control system and transmit data via wired or wireless networks. Real-time performance is achieved through efficient data processing algorithms to ensure timely feedback and rapid response. Secondly, to eliminate measurement drift under high-temperature conditions, dynamic baseline calibration is implemented at each monitoring point. Dynamic baseline calibration technology includes periodically calibrating the equipment to maintain its measurement accuracy and automatically adjusting the algorithm during data processing to correct any potential drift, ensuring the accuracy of the temperature data. During the temperature data monitoring phase, when any monitoring point in the cooling mold detects a temperature exceeding a preset safety threshold and the duration reaches a first critical time threshold, a first-level anomaly is immediately generated for the corresponding cooling mold. Normal signals and Level 1 abnormal signals indicate a potential risk of overheating at the detection point, and these signals are recorded for subsequent analysis. Based on the Level 1 abnormal signals, the production numbers and number of abnormal cooling molds are counted. When multiple Level 1 abnormal signals are detected in a single cooling mold, or when the proportion of abnormal signals exceeds a preset threshold, a Level 2 linkage control signal is generated based on the production number of the cooling mold. This signal can be understood as an early warning of an emergency stop. The corresponding Level 2 signal is determined through logical judgment or machine learning algorithms. The evaluation of these signals can refer to historical data and mold configuration parameters, thereby improving detection efficiency. Finally, in the response phase, when the Level 2 linkage control signal is triggered, an emergency stop control signal is sent to the traction machine to immediately interrupt the pulling process. This automated control mechanism agilely protects equipment and production safety. It can be implemented using application-based control methods or software control interfaces, and can quickly execute an emergency stop through a communication protocol connected to the traction machine, achieving efficient and safe management.

[0069] The technical solution of this invention effectively solves the risk of quality defects and equipment damage in copper billets caused by temperature runaway.

[0070] Furthermore, such as Figure 2 As shown, dynamic baseline calibration includes:

[0071] The corresponding thermal expansion parameters are called according to the material of the cooling mold, and the displacement of the heat exchange monitoring point caused by thermal deformation is obtained in real time, and the temperature acquisition reference position is corrected.

[0072] When abnormal fluctuations in cooling water flow are detected, a comparison of temperature data sequences of adjacent cooling molds is initiated. If the temperature change of the current cooling mold exceeds the allowable deviation range of the average value of adjacent cooling molds, it is determined to be water vapor interference.

[0073] The temperature gradient value of the upstream cooling die in the drawing direction is used to interpolate and compensate for the disturbed temperature data sequence.

[0074] The dynamic baseline calibration is performed during the interval between copper billet drawing cycles to avoid interfering with the real-time control process.

[0075] As a preferred embodiment of the above, firstly, a crucial step in dynamic baseline calibration is to call upon the thermal expansion parameters of the cooling mold based on its specific material. This is based on understanding the physical properties of the material under temperature changes. By pre-recording the thermal expansion coefficient of the material, the displacement caused by thermal deformation can be calculated in real time. For example, if a mold made of a specific alloy material is used, the displacement change can be calculated by monitoring the effect of the corresponding temperature. This calibration allows the data acquisition reference position of the temperature sensor to be adjusted in real time, ensuring data accuracy. Next, when abnormal fluctuations in cooling water flow are detected, the temperature data sequences between adjacent cooling molds are compared. By comparing the deviation of the current cooling mold temperature from the average value of its adjacent molds, it is possible to identify whether there are abnormal temperature abrupt changes caused by water vapor interference. If the deviation exceeds the allowable range, it is marked as... Moisture interference is mitigated to ensure the reliability of temperature monitoring. Upon identification of moisture interference, the affected temperature data sequence is not used directly. Instead, it is compensated by interpolation using the temperature gradient value of the cooling die upstream of the drawing direction. This compensation step utilizes the correlation between upstream and downstream temperature gradients to replace the interfering data, ensuring the continuity and data completeness of the entire monitoring chain. For example, if the upstream die temperature shows a stable and gradual decrease, the temperature data of the downstream die affected by the interference can be compensated for using the temperature gradient to obtain more accurate data, ensuring the accuracy of subsequent decision-making. It is particularly important to emphasize that dynamic baseline calibration is performed during the intervals of the copper billet drawing cycle to avoid any impact on real-time control during the drawing process. This independent execution during these intervals ensures the high efficiency of the production line while reducing the direct interference of measurement calibration on the operation process.

[0076] Furthermore, such as Figure 3 As shown, a first-level abnormal signal is generated, including:

[0077] When the temperature at a single point exceeds the preset safety threshold, a spatial weighting coefficient is assigned according to the spatial position of the corresponding heat exchange monitoring point in the cooling mold, and the weighted temperature value is used as the actual judgment value.

[0078] During the process of the actual judgment value reaching the first critical time threshold, the continuously collected temperature anomaly values ​​are aggregated by time series attenuation weighting to generate aggregated anomaly degree.

[0079] When the aggregation anomaly exceeds the threshold value of the temperature anomaly, and at the same time the temperature anomaly value is continuously increasing, a level one anomaly signal is generated.

[0080] As a preferred embodiment of the above, firstly, when the temperature at a single point exceeds a preset safety threshold, a spatial weighting coefficient is assigned based on the spatial location of the heat exchange monitoring point within the cooling mold. This coefficient reflects the actual impact of different monitoring points on the overall temperature of the mold, meaning that temperature changes at different locations have different implications for the mold's state. A preferred approach is to assign a higher weight to the monitoring point located at the center of the mold, as the temperature in this area often better represents the overall temperature control status of the mold. Through weight allocation, a weighted temperature value is calculated, which is used as the actual criterion for judging temperature anomalies. Next, as the actual judgment value reaches the first critical time threshold, the continuously collected temperature anomaly values ​​are subjected to time-series attenuation weighted aggregation. This attenuation weighting mechanism aims to consider the importance of time factors to anomalies, such as longer time intervals. While new anomalies may not have the same impact as newly discovered ones, the preferred aggregation method is to assign weights to anomaly records based on a time decay function, giving new anomalies a greater weight. The aggregated anomaly degree generated through this step can describe the comprehensiveness of the anomaly and is a more reliable anomaly indicator than simply exceeding a single temperature threshold. When the aggregated anomaly degree exceeds a preset temperature anomaly threshold and simultaneously meets the continuous increasing trend of the temperature anomaly value, a Level 1 anomaly signal is generated. These judgment conditions ensure that the signal issuance does not depend on a single factor but is based on multiple anomaly indicators, reducing the possibility of misjudgment. For example, if the aggregated anomaly degree of a cooling mold significantly exceeds the threshold value for five consecutive minutes and the temperature continues to increase, a Level 1 anomaly signal is immediately generated to prompt operators and related systems to conduct further monitoring and intervention.

[0081] Furthermore, the control actions executed in response to a Level 1 abnormal signal include:

[0082] When the first-level anomaly signal is triggered for the first time, the traction machine is controlled to perform a step-by-step deceleration, and the deceleration gradient is positively correlated with the aggregation anomaly degree.

[0083] If the trigger is repeated within two consecutive pull cycles, the percentage of the deceleration gradient to the original speed will be increased.

[0084] The local cooling water pressure of the cooling mold where the anomaly occurred is increased synchronously, and the increase in local cooling water pressure is dynamically matched with the deceleration gradient;

[0085] For heat exchange monitoring points with a spatial weighting coefficient greater than the upper limit of the weighting, additional directional spraying intensity is applied;

[0086] Freeze the current pull-out force setting, and unlock it only after the aggregation anomaly falls back to the safe range.

[0087] As a preferred embodiment of the above, firstly, when the first-level abnormal signal is triggered for the first time, the traction machine is controlled to perform a stepped speed reduction. The speed reduction gradient is dynamically adjusted according to the degree of aggregation abnormality. Specifically, the higher the degree of aggregation abnormality, the greater the speed reduction gradient. By reducing the speed, the tensile force on the billet is reduced while the temperature rise rate is decreased, preventing further abnormalities. If the first-level abnormal signal is triggered repeatedly within two consecutive drawing cycles, the speed reduction gradient is further increased to ensure more effective control of the drawing process. At this time, the speed reduction gradient can be adjusted to a higher percentage of the initial speed. Continuously triggered abnormal signals indicate a serious problem with temperature control, requiring stronger intervention measures to ensure production and equipment safety. Secondly, the local cooling water pressure of the cooling mold where the abnormality occurs is simultaneously increased, with the water pressure increase proportional to the speed reduction gradient. Dynamic matching enhances cooling by adjusting cooling water pressure, directly targeting localized abnormal areas. Simultaneously, for heat exchange monitoring points with spatial weight coefficients exceeding the upper limit, the intensity of directional spraying is increased. A high spatial weight coefficient indicates a significant impact of the monitoring point on the overall mold temperature, thus requiring enhanced cooling. For example, for the central monitoring point, a high-pressure spray device can be added to provide stronger directional cooling, rapidly reducing local temperature and preventing the spread of localized high temperatures. Furthermore, the current pull-out force setting is frozen to ensure that the pull-out force remains unchanged until the polymerization anomaly returns to a safe range. Locking the pull-out force setting prevents further risks caused by force changes during abnormal periods. Once the polymerization anomaly returns to a safe range, the lock is released, and normal pull-out operation resumes.

[0088] Furthermore, such as Figure 4 As shown, a two-level linkage control signal is generated based on the production number, including:

[0089] When at least two Level 1 abnormal signals exist simultaneously in a single cooling mold, it is determined to be a complex abnormal mode.

[0090] When the number of Level 1 abnormal signals exceeds the upper limit of the total number of heat exchange monitoring points of the cooling mold, it is determined to be a cluster abnormal mode.

[0091] Obtain the production number of the cooling mold that triggered the complex exception mode and the cluster exception mode, and associate the spatial coordinates of the production line corresponding to the production number;

[0092] Generate a two-level linkage control signal carrying the production number, abnormal mode type, and spatial location coordinates.

[0093] As a preferred embodiment of the above, firstly, when at least two Level 1 abnormal signals exist simultaneously within a single cooling mold, it is determined to be a complex abnormality mode. This determination process involves monitoring the data stream of each heat exchange monitoring point. Once two or more monitoring points of a cooling mold simultaneously trigger Level 1 abnormal signals, the mold is marked as a complex abnormality. This mode identification helps to quickly detect and respond to major abnormal situations, improving the sensitivity and accuracy of detection. Secondly, when the number of Level 1 abnormal signals within a cooling mold exceeds a preset upper limit for the total number of its heat exchange monitoring points, it is determined to be a cluster abnormality mode. Typically, each cooling mold has several distributed temperature monitoring points. The preset upper limit is reached when monitoring points exceeding this ratio simultaneously trigger Level 1 abnormal signals. This indicates a potential systemic problem with the cooling mold, which is then identified as a cluster anomaly mode, effectively identifying a large-scale anomaly. After identifying the anomaly mode, the production number of the cooling mold that triggered the multiple anomaly modes and the cluster anomaly mode is obtained, and the spatial coordinates of the corresponding production line are associated with this number. Through the production line management system, each cooling mold's production number is mapped to a specific spatial location. Next, a secondary linkage control signal carrying the production number, anomaly mode type, and spatial coordinates is generated. This information is embedded in the signal and sent to the control center or relevant equipment to ensure immediate response and processing. For example, after detecting multiple anomalies, a secondary linkage control signal containing the above information is generated and sent to the traction machine and cooling system controller for emergency adjustments.

[0094] Furthermore, the linkage control based on the secondary linkage control signal includes:

[0095] Perform a high-pressure backwashing operation on the cooling mold corresponding to the production number to forcibly activate local water circuit cleaning;

[0096] Based on the spatial coordinates, close the cooling water circulation valves of adjacent cooling molds to concentrate water pressure on the abnormal cooling mold;

[0097] If the abnormal mode is multiple, control the traction machine to reduce its speed in stages to a safe speed;

[0098] If the cluster is in an abnormal mode, the traction machine's three-level braking procedure will be triggered to execute an emergency stop.

[0099] When the secondary linkage control signal is activated, the corresponding operation of the primary abnormal signal is suspended.

[0100] As a preferred embodiment of the above, firstly, after the secondary linkage control signal locates the abnormal cooling mold, a high-pressure backflushing operation is performed on the cooling mold corresponding to that production number. This operation involves activating the built-in high-pressure water pump to forcibly clean the water circuit of the cooling mold, removing any possible blockages or deposited impurities. This helps restore cooling efficiency. The forced backflushing can be set to a predetermined duration, such as three minutes, to ensure thorough cleaning. Next, based on the spatial coordinates of the secondary linkage control signal, the cooling water circulation valves of adjacent cooling molds are closed. The purpose of this is to concentrate water pressure on the abnormal cooling mold, providing it with enhanced cooling support. This is achieved through remote control or automatic control system integration, ensuring that the abnormal mold receives the necessary water pressure boost without affecting the operation of other molds. Furthermore, if the secondary linkage control signal indicates an abnormality type of complex... In case of anomaly, the traction machine is controlled to perform a graded deceleration operation. The deceleration process gradually adjusts from high to low to a safe speed to alleviate the stress on the mold and billet during the drawing process. This graded deceleration can be implemented by the deceleration curve designed by the system, and the specific speed is set based on historical anomaly data. If the anomaly mode is identified as a cluster anomaly, the traction machine will be triggered to perform a three-level braking procedure to achieve an emergency stop. The three-level braking procedure includes three stages: pre-deceleration, buffer braking, and termination stop. While ensuring equipment safety, it quickly interrupts the drawing process and prevents the risk from spreading further. Finally, when the secondary linkage control signal is activated, all original operations related to the primary anomaly signal are suspended. This measure ensures that the system concentrates resources and attention on the most serious anomaly at present, avoids mutual interference, and allows the primary anomaly signal processing path to be re-evaluated after the high-priority anomaly is handled.

[0101] Furthermore, when the emergency stop control signal is executed, the drawing speed is first reduced to a linear deceleration rate to a safe level; when the temperature gradient exceeds the calculated value of the polymerization anomaly, an emergency stop is triggered and the production position of the copper billet is locked.

[0102] As a preferred embodiment of the above, when the emergency stop control signal is triggered, a linear deceleration process is first performed to reduce the drawing speed to a safe rate. The safe rate refers to the rate threshold set by the operating system, which is usually the lowest speed within the stable and safe range of the copper billet. The linear deceleration process is controlled by the traction machine, which is achieved by reducing the output power of the traction motor and adjusting the mechanical drawing rate. The preferred deceleration mode is a gradual reduction in speed, generally divided into multiple stages, with a constant reduction rate in each stage, such as a certain percentage per second until the safe rate is reached. Through linear deceleration, mechanical impact or billet deformation caused by emergency stop can be effectively avoided, ensuring production continuity. While deceleration begins, anomalies are monitored in real time. The temperature gradient of the cooling mold is continuously monitored, and the current polymerization anomaly level is calculated. When the temperature gradient exceeds the calculated polymerization anomaly level during deceleration, an emergency stop command is issued to halt the drawing operation. The temperature gradient is a key monitoring parameter for temperature changes inside the cooling mold; its exceeding the calculated polymerization anomaly level indicates that the system has entered a severe abnormal state. Therefore, the emergency stop action must be swift and decisive. Control commands are used to completely stop the traction machine and simultaneously lock the current position of the copper billet to prevent further movement or deformation. To lock the production position of the copper billet, a position tracking module on the drawing equipment records the billet's current position coordinates on the production line in real time and calls an automatic positioning and locking device to forcibly fix the billet. This design reduces the displacement of the billet due to inertia during emergency stops, ensuring that operators can accurately locate the abnormal section and perform subsequent repair work. During the entire emergency stop signal execution process, other low-level anomaly handling signals are suspended to concentrate control resources on handling the most severe anomaly. Once the temperature gradient returns to the normal range, the lock is released and production resumes.

[0103] Furthermore, the cooling mold includes a first cooling jacket and a second cooling jacket, wherein the heat exchange monitoring points include temperature monitoring positions of the first cooling jacket and the second cooling jacket.

[0104] As a preferred embodiment of the above, the cooling mold design includes a first cooling water jacket and a second cooling water jacket. Its structure and layout ensure effective cooling of the cast billet during the drawing process. Each cooling water jacket is equipped with heat exchange monitoring points to monitor the cooling effect and temperature changes in real time. Firstly, the first cooling water jacket is mainly located in the core area of ​​the cooling mold, providing cooling water flow through a sealed water circulation system. Temperature monitoring points are preferably located at key positions in the first cooling water jacket, such as the inlet, intermediate flow area, and outlet. High-precision digital temperature sensors are used, connected to the central control system for real-time data transmission. The data collected from these monitoring points not only allows for real-time monitoring of the temperature changes of the cooling water in the first cooling water jacket but also enables the evaluation of the cooling effect and efficiency of the water flow. Secondly, the second cooling water jacket is located in the outer layer of the first cooling water jacket, providing secondary cooling functionality. The system employs a double-layer water cooling effect. Temperature monitoring points are also installed in the second cooling jacket, such as on its inner and outer walls and in the inflow and outflow water channels. The temperature data collected from these points helps determine the cooling effect of the first cooling jacket and provides more comprehensive temperature distribution information. By integrating and analyzing the data from each monitoring point, the cooling process can be controlled more accurately, ensuring that the billet temperature remains within a safe range. In actual operation, when an abnormal temperature is detected in a cooling mold, the specific source and area of ​​the anomaly can be determined by analyzing the data from each monitoring point in both the first and second cooling jackets. For example, if the temperature at the inlet of the first cooling jacket rises sharply while the outlet temperature is normal, it may be due to insufficient cooling caused by a water flow problem. Conversely, if the temperatures on both the inner and outer walls of the second cooling jacket are very high, it may indicate insufficient overall cooling, requiring adjustment of the cooling system or an increase in water pressure.

[0105] Example 2;

[0106] Based on the same inventive concept as the temperature monitoring-based copper billet drawing control method in the foregoing embodiments, the present invention also provides a temperature monitoring-based copper billet drawing control system, the system comprising:

[0107] The acquisition and compensation module collects temperature data sequences from heat exchange monitoring points in each cooling mold in real time, and eliminates measurement drift caused by high-temperature water vapor environment based on dynamic baseline calibration.

[0108] The anomaly detection module, based on the temperature data sequence, generates a first-level anomaly signal for any cooling mold when a single point temperature exceeds a preset safety threshold and the duration reaches the first critical time threshold.

[0109] The signal statistics module, based on the distribution of first-level abnormal signals during the drawing process, counts the production number and quantity of the abnormal cooling dies.

[0110] If the number of primary abnormal signals in a single cooling mold is multiple or the proportion exceeds the preset ratio, the linkage control module generates a secondary linkage control signal based on the production number.

[0111] The emergency braking module, in response to the secondary linkage control signal, sends an emergency stop control signal to the tractor to interrupt the pulling process.

[0112] The adjustment system described above in this invention can effectively realize the copper billet drawing control method based on temperature monitoring, and the technical effects it can achieve are as described in the above embodiments, and will not be repeated here.

[0113] Furthermore, the data acquisition and compensation module includes:

[0114] The temperature reference unit calls the corresponding thermal expansion parameters according to the material of the cooling mold, obtains the displacement of the heat exchange monitoring point caused by thermal deformation in real time, and corrects the temperature acquisition reference position.

[0115] The comparison and judgment unit detects abnormal fluctuations in cooling water flow and initiates a comparison of temperature data sequences of adjacent cooling molds. If the current temperature change value of the cooling mold exceeds the allowable deviation range of the average value of the adjacent cooling molds, it is determined to be water vapor interference.

[0116] The interpolation compensation unit uses the temperature gradient value of the cooling mold upstream of the drawing direction to interpolate and compensate for the disturbed temperature data sequence.

[0117] Similarly, the above-mentioned optimization schemes for the system can also achieve the optimization effects corresponding to the methods in Embodiment 1, which will not be repeated here.

[0118] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of the application as defined herein, and are to be considered as covering any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Thus, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A method for controlling the drawing of copper billets based on temperature monitoring, characterized in that, The method includes: Real-time acquisition of temperature data sequences from heat exchange monitoring points in each cooling mold; elimination of measurement drift caused by high-temperature water vapor environment based on dynamic baseline calibration. Based on the temperature data sequence, when a single point temperature of any cooling mold exceeds a preset safety threshold and the duration reaches a first critical time threshold, a corresponding first-level abnormal signal of the cooling mold is generated. Based on the distribution of the first-level abnormal signals during the drawing process, the production number of the abnormal cooling mold and the number of the first-level abnormal signals are counted. If the number of first-level abnormal signals in a single cooling mold is multiple or the proportion exceeds a preset ratio, a second-level linkage control signal is generated based on the production number. In response to the secondary linkage control signal, an emergency stop control signal is sent to the traction machine to interrupt the pulling process; The dynamic baseline calibration includes: According to the material of the cooling mold, the corresponding thermal expansion parameters are called to obtain the displacement of the heat exchange monitoring point caused by thermal deformation in real time, and the temperature acquisition reference position is corrected. When abnormal fluctuations in cooling water flow are detected, the temperature data sequence comparison of adjacent cooling molds is initiated. If the current temperature change value of the cooling mold exceeds the allowable deviation range of the average temperature of the adjacent cooling molds, it is determined to be water vapor interference. The temperature data sequence that is disturbed is compensated by interpolation using the temperature gradient value of the cooling mold upstream of the drawing direction; The dynamic baseline calibration is performed during the interval between copper billet drawing cycles to avoid interfering with the real-time control process; Generating the first-level abnormal signal includes: When the temperature at a single point exceeds the preset safety threshold, a spatial weighting coefficient is assigned according to the spatial position of the corresponding heat exchange monitoring point in the cooling mold, and the weighted temperature value is used as the actual judgment value. During the process of the actual judgment value lasting until the first critical time threshold is reached, the continuously collected temperature anomaly values ​​are aggregated by time series attenuation weighting to generate aggregated anomaly degree. When the aggregation anomaly exceeds the threshold value of the temperature anomaly, and at the same time the temperature anomaly value continuously increases, the first-level anomaly signal is generated.

2. The method for controlling the drawing of copper billets based on temperature monitoring according to claim 1, characterized in that, The control actions executed in response to the first-level abnormal signal include: When the first-level abnormal signal is triggered for the first time, the traction machine is controlled to perform a step-by-step deceleration, and the deceleration gradient is positively correlated with the aggregation anomaly degree. If the trigger is repeated within two consecutive pulling cycles, the percentage of the deceleration gradient to the original speed is increased. The local cooling water pressure of the cooling mold where the anomaly occurs is simultaneously increased, and the increase in local cooling water pressure is dynamically matched with the deceleration gradient; For heat exchange monitoring points where the spatial weight coefficient is greater than the upper limit of the weight, additional directional spray intensity is applied; Freeze the current pull-out force setting, and unlock it only when the aggregation anomaly falls back to the safe range.

3. The method for controlling the drawing of copper billets based on temperature monitoring according to claim 1, characterized in that, Based on the production number, a secondary linkage control signal is generated, including: When at least two of the first-level abnormal signals exist simultaneously in a single cooling mold, it is determined to be a complex abnormal mode; When the number of first-level abnormal signals exceeds the upper limit of the proportion of the total number of heat exchange monitoring points of the cooling mold, it is determined to be a cluster abnormal mode. Obtain the production number of the cooling mold that triggered the complex anomaly mode and the cluster anomaly mode, and associate the spatial location coordinates of the production line corresponding to the production number; Generate the secondary linkage control signal carrying the production number, the abnormal mode type, and the spatial location coordinates.

4. The method for controlling the drawing of copper billets based on temperature monitoring according to claim 3, characterized in that, The linkage control based on the aforementioned secondary linkage control signal includes: A high-pressure backwashing operation is performed on the cooling mold corresponding to the production number to forcibly activate local water circuit cleaning; According to the spatial coordinates, close the cooling water circulation valve of the adjacent cooling mold to concentrate water pressure to the abnormal cooling mold; If the complex abnormal mode is detected, the traction machine is controlled to reduce its speed in stages to a safe speed. If the cluster is in an abnormal mode, the traction machine's three-level braking procedure will be triggered to execute an emergency stop; When the secondary linkage control signal is activated, the corresponding operation of the primary abnormal signal is suspended.

5. The method for controlling the drawing of copper billets based on temperature monitoring according to claim 1, characterized in that, When the emergency stop control signal is executed, the drawing speed is first reduced to a linear deceleration rate to a safe level; when the temperature gradient exceeds the calculated value of polymerization anomaly, an emergency stop is triggered and the production position of the copper billet is locked.

6. The method for controlling the drawing of copper billets based on temperature monitoring according to claim 1, characterized in that, The cooling mold includes a first cooling jacket and a second cooling jacket, wherein the heat exchange monitoring points include temperature monitoring positions of the first cooling jacket and the second cooling jacket.

7. A copper billet drawing control system based on temperature monitoring, characterized in that, The copper billet drawing control method based on temperature monitoring as described in claim 1, wherein the system comprises: The acquisition and compensation module collects temperature data sequences from heat exchange monitoring points in each cooling mold in real time, and eliminates measurement drift caused by high-temperature water vapor environment based on dynamic baseline calibration. The anomaly detection module, based on the temperature data sequence, generates a first-level anomaly signal for any cooling mold when a single point temperature exceeds a preset safety threshold and the duration reaches the first critical time threshold. The signal statistics module, based on the distribution of the first-level abnormal signals during the drawing process, counts the production number of the abnormal cooling mold and the number of the first-level abnormal signals. If the number of primary abnormal signals in a single cooling mold is multiple or the proportion exceeds the preset ratio, the linkage control module generates a secondary linkage control signal based on the production number. The emergency braking module, in response to the secondary linkage control signal, sends an emergency stop control signal to the tractor to interrupt the pulling process; The acquisition and compensation module includes: The temperature reference unit calls the corresponding thermal expansion parameters according to the material of the cooling mold, obtains the displacement of the heat exchange monitoring point caused by thermal deformation in real time, and corrects the temperature acquisition reference position. The comparison and judgment unit detects abnormal fluctuations in cooling water flow and initiates a comparison of temperature data sequences of adjacent cooling molds. If the current temperature change value of the cooling mold exceeds the allowable deviation range of the average temperature of the adjacent cooling molds, it is determined to be water vapor interference. The interpolation compensation unit uses the temperature gradient value of the cooling mold upstream of the drawing direction to interpolate and compensate for the disturbed temperature data sequence.

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