Alloy continuous production temperature control method and system based on data feedback

Abstract

The invention discloses an alloy continuous production temperature control method and system based on data feedback, and relates to the technical field of temperature control, and the method comprises the steps: obtaining the production process information and real-time temperature data of each process section in the alloy continuous production process, carrying out the section division of the production process based on the process information and the temperature data, forming a section library comprising a plurality of sections to be controlled; acquiring historical temperature operation data of each to-be-controlled section, analyzing temperature deviation characteristics and temperature change trend characteristics, and calculating the section heat influence transfer quantity of the previous section to the next section in combination with the temperature change trend and the production operation speed of the adjacent section; based on the temperature deviation characteristic and the section heat influence transfer quantity, determining the temperature regulation requirement of each section, and executing instant, limited or delayed temperature regulation operation on the section; and section heat influence transfer evaluation is dynamically updated through temperature feedback data, and accurate and closed-loop temperature control in the alloy continuous production process is achieved.

Description

Technical Field

[0001] This invention relates to the field of temperature control technology, specifically to a method and system for temperature control in continuous alloy production based on data feedback. Background Technology

[0002] The temperature control method and system for continuous alloy production aims to improve the accuracy and stability of temperature control in the production process. In continuous alloy production, temperature changes directly affect product quality and process consistency. Traditional manual or experience-based temperature control methods struggle to achieve high-precision, real-time temperature management, easily leading to problems such as temperature fluctuations, localized overheating or underheating, resulting in unstable product quality, increased energy consumption, and decreased equipment operating efficiency.

[0003] However, existing temperature control systems typically rely on fixed parameters or single historical data for adjustment, lacking the ability to analyze the temperature characteristics and dynamic changes of each section during continuous alloy production in real time. This makes it difficult to accurately assess the heat transfer between adjacent sections, resulting in delayed or excessive temperature regulation. Precise closed-loop control is impossible, and the system has poor adaptability to changes in material type, workpiece thickness, and production speed in different production sections, easily causing local overheating or underheating, affecting temperature uniformity and production process consistency. It also increases energy consumption and equipment load, reducing production efficiency and reliability. Therefore, a data feedback-based temperature control method and system for continuous alloy production is needed to solve the above-mentioned problems. Summary of the Invention

[0004] To address the aforementioned technical problems, this paper provides a data feedback-based method and system for temperature control in continuous alloy production. This solution overcomes the limitations of existing temperature control systems, which typically rely on fixed parameters or single historical data for adjustment. These systems lack real-time analysis capabilities to assess the temperature characteristics and dynamic changes in different sections during continuous alloy production, making it difficult to accurately assess the heat transfer between adjacent sections. This results in delayed or excessive temperature regulation, hindering precise closed-loop control. Furthermore, these systems exhibit poor adaptability to variations in material type, workpiece thickness, and production speed across different production sections, easily leading to localized overheating or underheating, affecting temperature uniformity and production process consistency. Simultaneously, they increase energy consumption and equipment load, reducing production efficiency and reliability.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for temperature control in continuous alloy production based on data feedback, comprising: Acquire production process information and corresponding real-time temperature data for each process section during the continuous production of the alloy. The production process information includes alloy material type, workpiece thickness, and production speed. Based on production process information and real-time temperature data, the continuous alloy production process is divided into sections to obtain a library of controllable sections containing multiple controllable sections. Historical temperature operation data of each controllable section in the controllable section library are obtained, and combined with real-time temperature data, the temperature change characteristics of each controllable section are analyzed to extract temperature deviation characteristics and temperature change trend characteristics. Based on the temperature change trend characteristics and production operation speed between adjacent controllable sections, the heat transfer amount of the previous controllable section to the next controllable section is obtained. Based on the temperature deviation characteristics and the heat transfer amount of the section, the adjustment demand is determined, and the section temperature adjustment demand table is obtained. Based on the temperature adjustment requirement table for each section, the corresponding initial temperature control parameters are obtained, and the temperature control devices for each section to be controlled are adjusted to obtain the adjusted temperature feedback data. Then, the heat transfer of the section is evaluated based on the temperature feedback data to determine whether each section to be controlled needs to continue to perform temperature adjustment operations, and temperature control is only performed on sections that meet the adjustment conditions.

[0006] In an optional embodiment, the step of dividing the continuous alloy production process into segments based on production process information and real-time temperature data to obtain a library of controllable segments containing multiple controllable segments specifically includes: Based on the real-time temperature data of each process section during the continuous alloy production process, the real-time temperature sequence of the continuous alloy production process is obtained, and noise filtering is performed to obtain a smooth temperature sequence. Based on the smoothed temperature sequence, the rate of change of temperature gradient at each time point is obtained, forming a temperature gradient change sequence. By setting a fixed-length moving window, the average value and standard deviation of the temperature gradient change sequence are calculated within each window. The positions where the gradient change exceeds the average value plus or minus a certain multiple of the standard deviation within the window are marked as candidate segment boundaries, thus obtaining a preliminary candidate segment boundary sequence. The time point corresponding to each boundary in the preliminary candidate segment boundary sequence is matched with its corresponding production speed. The physical position of the boundary in the production process is obtained based on the time interval between the boundaries and the corresponding speed. The boundary positions are then adjusted to obtain the corrected candidate segment boundary sequence. The minimum segment length is checked on the corrected candidate segment boundary sequence. Segments with lengths lower than a preset threshold are merged with adjacent segments to obtain the segment division result. For each segment in the segment division results, a record of the segment to be controlled is generated by combining the corresponding production process information; All records of the sections to be controlled are integrated in the order of production to form a library of sections to be controlled.

[0007] In an optional embodiment, the step of acquiring historical temperature operation data of each controllable segment in the controllable segment library, and combining it with real-time temperature data to analyze the temperature change characteristics of each controllable segment and extract temperature deviation characteristics and temperature change trend characteristics, specifically includes: Obtain the historical temperature operation data corresponding to each controllable section in the controllable section library, and perform time alignment processing according to the same time granularity as the real-time temperature data to form a historical temperature sequence of the section. Statistical processing is performed on the historical temperature sequence of the section to calculate the historical reference temperature of each section to be controlled at the corresponding time position, thus forming the historical reference temperature sequence of the section. Acquire real-time temperature data for each control section and extract the real-time temperature sequence of the corresponding section according to the section division results; Based on the real-time temperature sequence and the historical reference temperature sequence of the section, the temperature difference at each time point is obtained to form the temperature deviation sequence of the section. The temperature deviation sequence is then statistically analyzed to form the temperature deviation characteristics of the section. Time series analysis is performed on the real-time temperature sequence of the section to calculate the rate of temperature change between adjacent time points and form a temperature change rate sequence of the section. Based on the temperature change rate sequence of the section, the average value and direction of the temperature change rate of the section are obtained, forming the temperature change trend characteristics of the section. By combining the temperature deviation characteristics of the sections with the temperature change trend characteristics of the sections, the temperature change characteristic analysis results corresponding to each section to be controlled are formed.

[0008] In an optional embodiment, the step of obtaining the heat transfer amount from the previous controlled section to the next controlled section based on the temperature change trend characteristics and production operation speed between adjacent controlled sections specifically includes: Obtain the temperature change trend characteristics of each control segment in the control segment library, and form a segment pair combination for each pair of adjacent control segments to obtain a list of adjacent segment pairs. Based on the adjacent segment pair list, the segment temperature change rate sequence of the previous segment to be controlled and the next segment to be controlled are obtained respectively, and the corresponding time positions are aligned point by point. The difference of each pair of corresponding temperature change rates is calculated to obtain the temperature change comparison result sequence of each pair of adjacent segments. For each pair of adjacent controllable sections in the controllable section library, the time required for heat transfer from the previous controllable section to the next controllable section is obtained based on its production operation speed and section length, and is used as the section temperature transfer time. Based on the comparison of the direction of temperature change rate between the previous segment and the next segment, a preliminary value of the temperature change synchronization coefficient is obtained. The initial value of the temperature change synchronization coefficient is adjusted by the temperature transfer time of the sections, and the temperature change synchronization coefficient of each pair of sections is determined. Based on the temperature change comparison result sequence and synchronization coefficient, the heat transfer amount of the previous controllable section to the next controllable section is obtained, and preliminary transfer amount data of each pair of sections is formed. The initial heat transfer data is smoothed to eliminate the influence of instantaneous fluctuations on the heat transfer, resulting in a stable section heat transfer data. Based on the production process information of each control section, the corresponding section length and material heat capacity parameters are obtained to form a set of section physical parameters. Based on the length and heat capacity parameters of each section, the heat transfer amount of the stable section is weighted and adjusted to form a comprehensive transfer amount; The comprehensive transfer amount of each section is associated with the production process information of the corresponding section to generate a section heat impact mapping table; The section thermal impact mapping tables of all section pairs are integrated in the production order to form a complete section thermal impact transfer dataset; The formula for calculating the heat transfer amount in the aforementioned section is as follows: ; In the formula, For the heat transfer amount of the section, For the previous control section The total number of effective temperature change rate measurement points used for temperature change analysis. The first in the previous control section The rate of temperature change at each time point For the next control section and the first The rate of temperature change at each time point This is the temperature change synchronization coefficient between the previous control zone and the next control zone.

[0009] In an optional embodiment, the step of determining the adjustment demand based on temperature deviation characteristics and the heat transfer amount of the section to obtain a section temperature adjustment demand table specifically includes: Obtain the temperature deviation characteristics and heat transfer amount of each controllable section in the controllable section library to form a set of section regulation judgment parameters. Based on the temperature deviation characteristics, the current temperature deviation status of each control section is determined, and positive deviation status and negative deviation status are distinguished to obtain the section deviation status identifier. The heat impact transfer amount of each section to be controlled is compared with the preset heat impact threshold, and the section to be controlled that exceeds the preset threshold is identified, forming a set of high heat impact section identifiers. For the controllable sections that are not marked as high heat-affected sections, the corresponding temperature adjustment requirements are directly generated based on their temperature deviation status indicators, forming a set of instant adjustment sections. For the control section marked as a high heat-affected zone, the direction of the heat-affected zone's heat transfer and the temperature change trend of adjacent sections are combined to determine the direction of the external heat-affected zone's temperature deviation and form the external heat-affected zone judgment result. When the external thermal impact determination result of a section is consistent with the temperature deviation status of the current section, no temperature adjustment requirement is generated, and the corresponding section is marked as a delayed adjustment section. When the external thermal impact determination result of a section is inconsistent with the temperature deviation state of the current section, a restricted temperature regulation demand is generated, and the corresponding section to be controlled is marked as a restricted regulation section. At the same time, the corresponding regulation range constraint conditions are recorded to form a set of restricted regulation sections. The sets of immediate adjustment sections, limited adjustment sections, and delayed adjustment sections are summarized to form a section temperature adjustment requirement table that includes section adjustment trigger identifiers, adjustment direction identifiers, and adjustment type identifiers.

[0010] In an optional embodiment, the step of obtaining the corresponding initial temperature control parameters according to the segment temperature adjustment demand table, adjusting the temperature control device of each segment to be controlled, obtaining the adjusted temperature feedback data, evaluating the segment heat effect transfer based on the temperature feedback data, determining whether each segment to be controlled needs to continue temperature adjustment operation, and only performing temperature control on segments that meet the adjustment conditions, specifically includes: Obtain the temperature adjustment demand table for each section, and read the adjustment trigger identifier, adjustment direction identifier, and adjustment type identifier for each section to be controlled. Based on the adjustment direction identifier of each control section, the corresponding temperature adjustment direction parameter is determined, and combined with the preset section temperature adjustment reference value, the initial temperature adjustment amplitude of each control section is generated. For the instantaneous adjustment section, the initial temperature control parameters are directly generated based on the initial temperature adjustment range; For the restricted regulation section, based on the initial temperature regulation range and combined with the corresponding regulation range constraint conditions, the temperature regulation range is limited to generate restricted initial temperature control parameters. For the delay adjustment section, temperature control parameters are not generated temporarily, and the corresponding section delay status is recorded; The initial temperature control parameters of each instantaneous adjustment section and the limited adjustment section are sent to the temperature control device of the corresponding control section to execute the temperature adjustment operation. After the temperature adjustment operation is completed, the adjusted temperature feedback data of each control section is obtained to form a section temperature feedback sequence. Based on the segment temperature feedback sequence, the segment heat effect transfer between adjacent controlled segments is recalculated to obtain the updated segment heat effect transfer assessment results. The updated assessment results of heat transfer in the section are compared with the preset stability criteria to determine whether each section to be controlled still meets the temperature regulation conditions. For the control section that still meets the temperature regulation conditions, continue to execute the corresponding temperature regulation operation; for the control section that does not meet the temperature regulation conditions, stop the temperature regulation operation, and complete one closed loop of section temperature control.

[0011] Furthermore, a data feedback-based temperature control system for continuous alloy production is proposed to implement the temperature control method described above, characterized by comprising: The data acquisition module is used to acquire production process information and real-time temperature data of each controllable section during the continuous production of alloys, and to generate a section-temperature status dataset. The segment division module is used to divide the continuous alloy production process into segments based on the segment-temperature state dataset and production process information to form a library of segments to be controlled. The temperature characteristic analysis module is used to acquire historical temperature operation data of each controllable section in the controllable section library, and combine it with real-time temperature data to analyze the temperature deviation characteristics and temperature change trend characteristics of each controllable section, and generate a temperature change characteristic dataset of the section. The thermal impact calculation module is used to calculate the thermal impact transfer from the previous controlled section to the next controlled section based on the temperature change trend characteristics and production operation speed between adjacent controlled sections, and to generate a section thermal impact mapping dataset. The temperature regulation determination module is used to determine the temperature regulation requirements of each controllable section based on the section temperature deviation characteristics and the section heat influence transfer amount, and generate a section temperature regulation requirement table including regulation trigger identifier, regulation direction identifier and regulation type identifier. The temperature control execution module is used to generate corresponding initial temperature control parameters according to the section temperature adjustment demand table, and send them to the temperature control devices of each section to be controlled to perform temperature adjustment operations. At the same time, it acquires temperature feedback data and forms a section temperature feedback sequence to realize closed-loop temperature control.

[0012] In an optional embodiment, the segmentation module includes: A temperature sequence smoothing unit is used to perform noise filtering on the real-time temperature data of each process section to obtain a smooth temperature sequence. A gradient change calculation unit is used to calculate the rate of change of temperature gradient based on a smoothed temperature sequence and to form a temperature gradient change sequence. A candidate boundary identification unit is used to calculate the average and standard deviation of gradient changes through a moving window, mark the positions that exceed the threshold as candidate segment boundaries and correct them. The segment merging unit is used to check the minimum segment length of the corrected candidate segment boundary sequence and merge excessively short segments with adjacent segments to form the final segment division result.

[0013] In an optional embodiment, the temperature characteristic analysis module includes: A historical temperature acquisition unit is used to acquire historical temperature operation data corresponding to the section to be controlled and align it with real-time temperature data to form a historical temperature sequence of the section. A temperature deviation calculation unit is used to calculate temperature deviation characteristics based on the historical temperature sequence and the real-time temperature sequence of the segment. A temperature change trend calculation unit is used to analyze the temperature change rate of the real-time temperature sequence of a section and form temperature change trend characteristics. The feature combination unit is used to combine temperature deviation features with temperature change trend features to generate a segment temperature change feature dataset.

[0014] In an optional embodiment, the temperature regulation determination module includes: A judgment parameter generation unit is used to obtain the temperature deviation characteristics and heat influence transfer of each control section to form a set of section adjustment judgment parameters. The adjustment demand determination unit is used to identify immediate, restricted or delayed adjustment sections based on temperature deviation characteristics and section heat effect transmission amount, and generate a section temperature adjustment demand table. An adjustment trigger generation unit is used to associate the judgment result with the adjustment type, direction and amplitude constraints to form adjustment parameters that can be used by the temperature control execution module.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This solution proposes a data feedback-based method and system for continuous alloy production temperature control. By dynamically dividing and analyzing real-time and historical temperature data of production sections, it can accurately calculate the heat transfer between sections and combine temperature deviation characteristics to achieve immediate, restricted, or delayed temperature adjustment of each section, forming a closed-loop temperature control mechanism. This significantly improves the temperature control accuracy and stability of the continuous alloy production process, reduces the impact of temperature fluctuations on product quality and process consistency, ensures temperature uniformity in each section, achieves efficient regulation and reliable management of the production process, reduces energy consumption, improves equipment operating efficiency, and enhances the controllability and intelligence of the production process. Attached Figure Description

[0016] Figure 1 This is a flowchart of a data feedback-based temperature control method for continuous alloy production proposed in this invention. Figure 2 This is a flowchart illustrating the division of continuous alloy production sections in this invention. Figure 3 This is a flowchart of the section heat effect transfer calculation in this invention; Figure 4 This is a system framework diagram of a data feedback-based temperature control system for continuous alloy production proposed in this invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 - Figure 4 As shown in the figure, an alloy continuous production temperature control method based on data feedback in an embodiment of the present invention includes: Acquire production process information and corresponding real-time temperature data for each process section during the continuous production of alloys. The production process information includes alloy material type, workpiece thickness and production speed. Based on production process information and real-time temperature data, the continuous alloy production process is divided into sections to obtain a library of controllable sections containing multiple controllable sections. Historical temperature operation data of each controllable section in the controllable section library are obtained, and combined with real-time temperature data, the temperature change characteristics of each controllable section are analyzed to extract temperature deviation characteristics and temperature change trend characteristics. Based on the temperature change trend characteristics and production operation speed between adjacent controllable sections, the heat transfer amount of the previous controllable section to the next controllable section is obtained. Based on the temperature deviation characteristics and the heat transfer amount of the section, the adjustment demand is determined, and the section temperature adjustment demand table is obtained. Based on the temperature adjustment requirement table for each section, the corresponding initial temperature control parameters are obtained, and the temperature control devices for each section to be controlled are adjusted to obtain the adjusted temperature feedback data. Then, the heat transfer of the section is evaluated based on the temperature feedback data to determine whether each section to be controlled needs to continue to perform temperature adjustment operations, and temperature control is only performed on sections that meet the adjustment conditions.

[0019] Furthermore, based on production process information and real-time temperature data, the continuous alloy production process is divided into sections to obtain a library of controllable sections containing multiple controllable sections, specifically including: Based on the real-time temperature data of each process section during the continuous alloy production process, the real-time temperature sequence of the continuous alloy production process is obtained, and noise filtering is performed to obtain a smooth temperature sequence. Based on the smoothed temperature sequence, the rate of change of temperature gradient at each time point is obtained, forming a temperature gradient change sequence. By setting a fixed-length moving window, the average value and standard deviation of the temperature gradient change sequence are calculated within each window. The positions where the gradient change exceeds the average value plus or minus a certain multiple of the standard deviation within the window are marked as candidate segment boundaries, thus obtaining a preliminary candidate segment boundary sequence. Specifically, in the continuous alloy production process, the real-time temperature data collected from each process segment is first organized in continuous time sequence to form a complete segment real-time temperature sequence. Due to potential sensor noise, environmental interference, or equipment fluctuations during continuous acquisition, the original temperature sequence is smoothed to avoid noise affecting the accuracy of segment division. Methods such as moving average filtering or exponential smoothing can be used to weighted average the temperature value at each time point with its adjacent time points, resulting in a smoothed temperature sequence that makes the temperature change trend more continuous and stable. Based on this, the rate of change of the temperature gradient between adjacent time points is calculated, i.e., the ratio or difference between the temperature change at each time point and the temperature change at the previous time point. This method clarifies the speed and trend of temperature rise or fall within a short period, thus forming a temperature gradient change sequence. To further identify possible segment boundaries, a fixed-length moving window is used to perform local statistical analysis on the temperature gradient change sequence. Within each window, the average and standard deviation of the gradient change within the window are first calculated to describe the overall level and fluctuation amplitude of temperature change within the window. Then, positions within the window that exceed the average plus or minus a certain number of standard deviations are marked as candidate segment boundaries. This processing method effectively filters out time points with significant temperature changes, ensuring that boundary identification is not affected by short-term, small fluctuations, while also maintaining sensitivity to significant changes. The length of the moving window can be calculated based on the actual physical length of each controllable segment and the production line's operating speed. Specifically, firstly, based on historical production data or process design, the actual length of each controllable segment on the production line is determined. Then, combined with the segment's operating speed, the segment's duration in the time dimension is calculated. To ensure that the window fully reflects the segment's temperature change characteristics, the moving window's duration can be set to a certain proportion of the segment's duration, such as approximately one-fifth to one-half. This smooths out short-term noise while sensitively capturing locations with significant temperature changes. Subsequently, the window duration is converted into the corresponding number of temperature sampling points, i.e., the number of consecutive sampling points included in the window. This is empirically optimized based on historical temperature change data to ensure that when the temperature gradient change exceeds a threshold, it can be effectively marked as a candidate segment boundary, while avoiding excessive misjudgments due to short-term, small fluctuations.

[0020] The time point corresponding to each boundary in the preliminary candidate segment boundary sequence is matched with its corresponding production speed. The physical position of the boundary in the production process is obtained based on the time interval between the boundaries and the corresponding speed. The boundary positions are then adjusted to obtain the corrected candidate segment boundary sequence. The minimum segment length is checked on the corrected candidate segment boundary sequence. Segments with lengths lower than a preset threshold are merged with adjacent segments to obtain the segment division result. For each segment in the segment division results, a record of the segment to be controlled is generated by combining the corresponding production process information; All records of the sections to be controlled are integrated in the order of production to form a library of sections to be controlled.

[0021] Specifically, after obtaining the preliminary candidate segment boundary sequence, it is necessary to match the time point corresponding to each candidate boundary with its actual operating speed in the production process, so as to map the boundary in the time dimension to its physical location on the production line. First, the production speed data corresponding to each time point is obtained, and combined with the time interval of the candidate boundaries, the position of each boundary on the production line is calculated, so that the segment division not only reflects the temperature change characteristics, but also remains consistent with the actual workpiece position. Subsequently, these preliminary boundary positions are corrected, for example, by fine-tuning boundaries that are too close together, or by reasonably shifting the boundaries according to the segment length, so that the corrected boundaries can accurately reflect temperature changes and meet the requirements of production process continuity. After obtaining the corrected candidate segment boundary sequence, a minimum length check needs to be performed on each segment to avoid segments that are too short, which would lead to instability in subsequent temperature control operations. For segments whose length is lower than a preset threshold, they can be merged with adjacent segments to ensure that each segment has sufficient adjustment space in temperature control, while maintaining the continuity of the production process. After the segmentation is completed, each segment is associated with its corresponding production process information, such as alloy material type, workpiece thickness and production speed, to generate a complete record of the segments to be controlled. All segment records are then integrated in the production sequence to form the final library of segments to be controlled, providing a complete data foundation for subsequent temperature deviation analysis, heat effect calculation and temperature regulation.

[0022] For example, on a continuous production line, if a certain section is short and has a small temperature variation, and the minimum section length check reveals that the section length is less than the preset threshold, it can be merged with the adjacent sections to form a new section. By combining process information such as alloy type, workpiece thickness, and production speed, a record of the section to be controlled is generated. This ensures that the merged section has sufficient adjustment space and process continuity in subsequent temperature regulation and closed-loop control operations, facilitating the execution of subsequent temperature deviation analysis and thermal effect calculations.

[0023] Furthermore, historical temperature operation data for each controllable section in the controllable section database is obtained, and combined with real-time temperature data, the temperature change characteristics of each controllable section are analyzed to extract temperature deviation characteristics and temperature change trend characteristics, specifically including: Obtain the historical temperature operation data corresponding to each controllable section in the controllable section library, and perform time alignment processing according to the same time granularity as the real-time temperature data to form a historical temperature sequence of the section. Statistical processing is performed on the historical temperature sequence of the section to calculate the historical reference temperature of each section to be controlled at the corresponding time position, thus forming the historical reference temperature sequence of the section. Acquire real-time temperature data for each control section and extract the real-time temperature sequence of the corresponding section according to the section division results; Based on the real-time temperature sequence and the historical reference temperature sequence of the section, the temperature difference at each time point is obtained to form the temperature deviation sequence of the section. The temperature deviation sequence is then statistically analyzed to form the temperature deviation characteristics of the section. Time series analysis is performed on the real-time temperature sequence of the section to calculate the rate of temperature change between adjacent time points and form a temperature change rate sequence of the section. Based on the temperature change rate sequence of the section, the average value and direction of the temperature change rate of the section are obtained, forming the temperature change trend characteristics of the section. By combining the temperature deviation characteristics of the sections with the temperature change trend characteristics of the sections, the temperature change characteristic analysis results corresponding to each section to be controlled are formed.

[0024] Specifically, after the library of controllable sections is constructed, for each controllable section, the temperature operation data corresponding to the controllable section in the historical continuous production process is first obtained. In order to ensure that the historical temperature data can be effectively compared with the real-time temperature data in the current production process, the historical temperature operation data needs to be processed with a unified time granularity so that its sampling time interval is consistent with the real-time temperature data. Specifically, time alignment can be achieved by resampling, that is, using the sampling period of the current real-time temperature data as a unified time reference to resample the historical temperature data. For example, when the sampling interval for historical temperature data is 15 seconds and the sampling interval for real-time temperature data is 10 seconds, new temperature sampling points can be inserted between adjacent historical sampling points in chronological order, and their temperature values ​​can be estimated through the linear relationship between two adjacent historical temperature sampling points. When the sampling interval for historical temperature data is 5 seconds and the sampling interval for real-time temperature data is 10 seconds, the historical temperature value closest to that time point is selected at each unified time node, or the historical temperature values ​​within that time window are averaged. This ensures that the historical temperature data is consistent with the real-time temperature data in terms of the number of time nodes and time position, ultimately forming a segmented historical temperature sequence that corresponds one-to-one with the real-time temperature sequence, ensuring a one-to-one correspondence between the historical temperature sequence and the real-time temperature sequence in the time dimension. After obtaining the historical temperature sequence of a section, statistical processing is performed on this sequence. Temperature data from multiple historical production cycles at the same process stage or time position are summarized and analyzed to eliminate the influence of occasional fluctuations on the results. A historical reference temperature representing the temperature level of the controlled section under normal operating conditions is calculated, thus forming a historical reference temperature sequence for each corresponding time position. This historical reference temperature sequence reflects the typical temperature variation level of the section under the same production process conditions. For example, if the temperature at a certain time point in 10 historical production cycles is 1250℃, 1248℃, 1252℃, 1249℃, 1251℃, 1250℃, 1247℃, 1253℃, 1250℃, and 1249℃, the system can average these temperatures to obtain a historical reference temperature of 1250℃ for that time point.

[0025] Simultaneously, real-time temperature data of each controllable section during the current continuous alloy production process is acquired. Based on the aforementioned section division results, the real-time temperature sequence corresponding to each controllable section is extracted from the continuously collected real-time temperature data, ensuring that each controllable section corresponds to its independent real-time temperature change process. Subsequently, the real-time temperature sequence of each section is compared with the historical reference temperature sequence of the section at the same time position, and the difference between the real-time temperature and the historical reference temperature at each time point is calculated to form a section temperature deviation sequence. This temperature deviation sequence is further statistically analyzed to extract temperature deviation characteristics that reflect the overall deviation degree and stability of the current temperature state of the section. For example, when the real-time temperature of a controllable section is higher than the historical reference temperature at multiple consecutive time points, forming a continuous positive temperature deviation, it can be determined that the section has a persistently high temperature state. When the real-time temperature of the section frequently alternates between above and below the historical reference temperature, and the temperature difference shows significant fluctuations in a short period of time, this situation can be recorded as a state of large fluctuation in section temperature deviation, and the corresponding statistical results are included in the section temperature deviation characteristics. While performing temperature deviation analysis, time series analysis was conducted on the real-time temperature sequence of the section to obtain temperature changes between adjacent time points. Statistical processing of temperature changes at continuous time points was used to form a temperature change rate sequence for the section. Based on this, the overall level and main direction of change of this rate sequence were analyzed to obtain the temperature change trend characteristics of the section, reflecting whether the section temperature is in a state of increase, decrease, or relative stability. Finally, the temperature deviation characteristics and temperature change trend characteristics of the section were comprehensively correlated and uniformly characterized to form the temperature change characteristic analysis results for each control section. This result reflects both the degree of deviation of the current temperature of the section from the historical normal state and the dynamic trend of temperature change, providing a complete, reliable, and time-consistent characteristic basis for subsequent section heat impact transmission analysis and temperature regulation demand determination.

[0026] Furthermore, based on the temperature change trend characteristics and production operation speed between adjacent controlled sections, the heat transfer amount from the previous controlled section to the next controlled section is obtained, specifically including: Obtain the temperature change trend characteristics of each control segment in the control segment library, and form a segment pair combination for each pair of adjacent control segments to obtain a list of adjacent segment pairs. Based on the adjacent segment pair list, the segment temperature change rate sequence of the previous segment to be controlled and the next segment to be controlled are obtained respectively, and the corresponding time positions are aligned point by point. The difference of each pair of corresponding temperature change rates is calculated to obtain the temperature change comparison result sequence of each pair of adjacent segments. For each pair of adjacent controllable sections in the controllable section library, the time required for heat transfer from the previous controllable section to the next controllable section is obtained based on its production operation speed and section length, and is used as the section temperature transfer time. Based on the comparison of the direction of temperature change rate between the previous segment and the next segment, a preliminary value of the temperature change synchronization coefficient is obtained. The initial value of the temperature change synchronization coefficient is adjusted by the temperature transfer time of the sections, and the temperature change synchronization coefficient of each pair of sections is determined. Based on the temperature change comparison result sequence and synchronization coefficient, the heat transfer amount of the previous controllable section to the next controllable section is obtained, and preliminary transfer amount data of each pair of sections is formed. Specifically, after analyzing the temperature change characteristics of each controllable segment, the temperature change trend characteristics of each controllable segment are first read sequentially from the controllable segment library. Then, according to the sequence of segments on the production line, adjacent controllable segments are combined into segment pairs, each pair containing a preceding controllable segment and a directly adjacent following controllable segment, thus obtaining a list of adjacent segment pairs reflecting the production process sequence. Based on this, for each adjacent segment pair, the segment temperature change rate sequences of the preceding and following segments within the corresponding time range are obtained. These two sets of temperature change rate sequences are then aligned point-by-point according to their time positions, ensuring that each time point corresponds to a set of temperature change rate data from the preceding and following segments. Subsequently, the difference between each pair of aligned temperature change rate data is calculated to obtain a temperature change comparison result sequence reflecting the temperature change differences between two adjacent segments at the same time position. This sequence describes the possible influence of the temperature change of the preceding segment on the temperature change of the following segment.

[0027] After obtaining the temperature change comparison sequence, the system further characterizes the heat transfer process between sections in conjunction with production operation conditions. Specifically, the system first obtains the temperature change rate sequence of the previous and next sections at continuous time points, and determines the direction of temperature change at each time point. Within the same time range, the system counts the number of time points where the two sections exhibit the same heating or cooling trend at corresponding time points, and divides this number by the total number of time points within that time range to obtain a preliminary synchronization result reflecting the degree of consistency in the direction of temperature change. This preliminary synchronization result is a ratio value ranging from zero to one, used to describe the consistency of the temperature change trend of adjacent sections without considering the influence of heat transfer. For example, if there are 100 time points in a certain time range, and the temperature change direction of the two sections is consistent at 75 time points, then the preliminary synchronization result is 0.75. After obtaining the preliminary synchronization result, the system further considers the impact of the heat transfer delay between sections on the synchronization relationship. Since temperature changes in the previous segment do not directly affect the next segment at the same time point, the system determines the time required for heat to transfer from the previous segment to the next segment based on the production speed and the actual length of each segment on the production line. This time is then used as a time offset to correct the temperature change rate sequence of the next segment. Specifically, the system shifts the entire temperature change rate sequence of the next segment backward by this time offset, establishing a correspondence between the temperature change rate of the next segment at the current time point and the temperature change rate of the previous segment at the corresponding time point before this time point. When time points are missing after the shift, the system uses linear interpolation to fill in the missing time points, ensuring that the corrected temperature change rate sequence of the next segment has the same time points as the previous segment within the same time range. This physically reflects the time delay effect caused by heat transfer. For example, if the estimated heat transfer time is 30 seconds and the sampling interval is 10 seconds, the entire next segment sequence is shifted backward by 3 sampling points, and the missing time points are filled in using linear interpolation. After time correction, the system compares the temperature change direction of the previous segment and the corrected next segment at multiple time points, and determines the corrected synchronization result based on the proportion of time points with consistent directions. Subsequently, the system weights the corrected synchronization result by considering the distribution of time points with inconsistent change directions on the time axis. For example, it assigns higher weight to continuous consistent change segments and lower weight to scattered short-term consistent change segments, thus obtaining the final temperature change synchronization coefficient. This coefficient characterizes the degree to which the temperature change of the previous segment, after a reasonable heat transfer time, influences the temperature change of the next segment.Finally, based on the obtained temperature change comparison result sequence and the corresponding temperature change synchronization coefficient, the degree of thermal influence of the previous segment on the next segment is comprehensively calculated. The comparison results reflecting the temperature change differences are fused with the synchronization coefficient representing the consistency of the change trend to obtain the segment thermal influence transfer amount from the previous control segment to the next control segment. This result is recorded as the preliminary transfer amount data for each pair of adjacent segments, providing basic data support for subsequent segment thermal influence analysis and temperature regulation decisions.

[0028] The initial heat transfer data is smoothed to eliminate the influence of instantaneous fluctuations on the heat transfer, resulting in a stable section heat transfer data. Based on the production process information of each control section, the corresponding section length and material heat capacity parameters are obtained to form a set of section physical parameters. Based on the length and heat capacity parameters of each section, the heat transfer amount of the stable section is weighted and adjusted to form a comprehensive transfer amount; The comprehensive transfer amount of each section is associated with the production process information of the corresponding section to generate a section heat impact mapping table; The section thermal impact mapping tables of all section pairs are integrated in the production order to form a complete section thermal impact transfer dataset; Specifically, the system first smooths the initial transfer sequence of each pair of adjacent segments to eliminate the impact of sampling noise or instantaneous fluctuations caused by process variations on the transfer amount, resulting in a more stable segment heat-affected zone transfer amount. Taking moving average as an example, if the moving window length is set to 5 sampling points, the system averages the transfer amount values ​​of every 5 adjacent sampling points as the smoothed value at the center time point, thus obtaining a stable segment heat-affected zone transfer amount sequence. Subsequently, the system combines the production process information of each segment in the control segment library to obtain the corresponding segment length and material heat capacity parameters, forming a set of segment physical parameters. Based on information such as the segment's material type and workpiece thickness, the system selects heat capacity parameters that match the production process conditions to reflect the response differences of different materials and specifications of workpieces during heat transfer, and obtains the actual length of the segment on the production line to provide a physical basis for subsequent weighted transfer amount calculation. Based on segment length and heat capacity parameters, the system performs weighted adjustments on the stable heat transfer quantities of segments to form a comprehensive transfer quantity. For segments with longer lengths or higher material heat capacities, the impact of heat transfer on the next segment is more significant, thus their stable transfer quantities can be multiplied by a larger weighting coefficient. Conversely, for shorter segments or segments with lower heat capacities, their weights are reduced accordingly. For example, if a segment has a stable transfer quantity of 0.8, and its length and heat capacity are relatively large, its weighting coefficient is 1.2, then its comprehensive transfer quantity is 0.96. After weighted adjustment, the system associates the comprehensive transfer quantity of each segment pair with the corresponding segment's production process information to generate a segment heat influence mapping table. This mapping table contains information such as segment pair identifier, segment length, material type, heat capacity parameters, and comprehensive transfer quantity, used to describe the intensity of the heat influence transfer from the previous controlled segment to the next controlled segment under specific production process conditions. Finally, the system integrates the section heat effect mapping tables of all section pairs according to the production sequence to form a complete section heat effect transfer dataset. This dataset records the comprehensive transfer amount of all adjacent section pairs and their corresponding process information, providing basic data support for subsequent section heat effect analysis, temperature regulation strategy formulation and online prediction.

[0029] The formula for calculating the heat transfer amount in a section is as follows: ; In the formula, For the heat transfer amount of the section, For the previous control section The total number of effective temperature change rate measurement points used for temperature change analysis. The first in the previous control section The rate of temperature change at each time point For the next control section and the first The rate of temperature change at each time point This is the temperature change synchronization coefficient between the previous control zone and the next control zone.

[0030] Understandably, using multiple effective temperature change rate measurement points within the previous segment as the basis for analysis, and differentiating the temperature change rates of the previous and next segments at the same time point, can reflect the temperature response differences between the two segments under the same production cycle. When the overall temperature change rate of the previous segment is higher than that of the next segment, it indicates that the thermal state of the previous segment has a driving effect on the next segment, and its thermal influence shows a trend of downstream transmission; conversely, when the temperature change rate of the next segment is higher, it indicates that the thermal influence originates more from the next segment itself or other external factors. By averaging the temperature change rate differences of multiple measurement points within the previous segment, the impact of single-point abnormal fluctuations on the results can be weakened, allowing the calculation results to reflect the thermal influence characteristics at the overall segment level. Simultaneously, a temperature change synchronization coefficient is introduced to characterize the temporal consistency of temperature changes in adjacent segments. When the temperature change trends of the two segments are highly synchronized, this coefficient takes a larger value, thereby enhancing the corresponding thermal influence transmission; when the temperature changes of the two segments are asynchronous or have a significant phase difference, this coefficient takes a smaller value, making the calculation results closer to the actual thermal coupling strength. The resulting segmental heat transfer quantity not only characterizes the strength of heat transfer between adjacent segments, but also implicitly reflects the dominant direction of the heat influence, providing a physical basis for subsequent determination of the direction of external heat influence and temperature regulation decisions.

[0031] Furthermore, based on the temperature deviation characteristics and the heat transfer amount of the section, the adjustment demand is determined, resulting in a section temperature adjustment demand table, which specifically includes: Obtain the temperature deviation characteristics and heat transfer amount of each controllable section in the controllable section library to form a set of section regulation judgment parameters. Based on the temperature deviation characteristics, the current temperature deviation status of each control section is determined, and positive deviation status and negative deviation status are distinguished to obtain the section deviation status identifier. The heat impact transfer amount of each section to be controlled is compared with the preset heat impact threshold, and the section to be controlled that exceeds the preset threshold is identified, forming a set of high heat impact section identifiers. For the controllable sections that are not marked as high heat-affected sections, the corresponding temperature adjustment requirements are directly generated based on their temperature deviation status indicators, forming a set of instant adjustment sections. Specifically, after analyzing the temperature change characteristics and calculating the heat transfer amount of each controlled section, the system sequentially reads the temperature deviation characteristics and the heat transfer amount between each controlled section and its adjacent sections from the controlled section database. This information is then associated with the section number to form a set of section adjustment judgment parameters containing the temperature deviation characteristics and heat transfer amounts of each controlled section. Subsequently, based on the temperature deviation characteristics of each controlled section, the system determines its current temperature deviation state and distinguishes the state according to the positive or negative direction of the temperature deviation. When the temperature deviation is positive, it is determined to be a positive deviation state; when the temperature deviation is negative, it is determined to be a negative deviation state, thus obtaining the section deviation state identifier for each controlled section. Next, the system compares the heat impact transfer of each control segment with a preset heat impact threshold, identifies control segments whose heat impact transfer exceeds the threshold, and adds these control segments to a high heat impact segment identifier set for more cautious subsequent adjustment. For example, when the preset heat impact threshold is 0.6 and the heat impact transfer of a certain segment to the next segment is 0.75, the segment is identified as a high heat impact segment and recorded in the high heat impact segment identifier set. For control segments not marked as high heat impact segments, the system directly generates corresponding temperature adjustment requirements based on their segment deviation status identifier. When the segment deviation status identifier is positive, a cooling adjustment requirement is generated; when the segment deviation status identifier is negative, a heating adjustment requirement is generated, thus obtaining an instantaneous adjustment segment set, which is used for rapid response in subsequent temperature adjustment decisions.

[0032] For the control section marked as a high heat-affected zone, the direction of the heat-affected zone's heat transfer and the temperature change trend of adjacent sections are combined to determine the direction of the external heat-affected zone's temperature deviation and form the external heat-affected zone judgment result. When the external thermal impact determination result of a section is consistent with the temperature deviation status of the current section, no temperature adjustment requirement is generated, and the corresponding section is marked as a delayed adjustment section. When the external thermal impact determination result of a section is inconsistent with the temperature deviation state of the current section, a restricted temperature regulation demand is generated, and the corresponding section to be controlled is marked as a restricted regulation section. At the same time, the corresponding regulation range constraint conditions are recorded to form a set of restricted regulation sections. The sets of immediate adjustment sections, limited adjustment sections, and delayed adjustment sections are summarized to form a section temperature adjustment requirement table that includes section adjustment trigger identifiers, adjustment direction identifiers, and adjustment type identifiers.

[0033] Understandably, after identifying the high heat-affected zone, the system first obtains the direction of heat transfer between the current high heat-affected zone and its preceding and subsequent zones. For example, if the heat transfer from the previous zone to the current zone is positive and the temperature trend is upward, then the previous zone is considered to have an external heat influence with a heating direction. If the heat transfer from the next zone to the current zone is negative and the temperature trend is downward, then the next zone is considered to have an external heat influence with a cooling direction. Subsequently, the system calculates the contribution value of the external heat influence from the preceding and subsequent zones respectively. The contribution value is equal to the heat transfer amount of each adjacent zone multiplied by the sign of its external influence direction. The sign of the external influence direction is: +1 when the temperature trend of the adjacent zone is heating and the heat transfer amount to the current zone is positive; +1 when the temperature trend of the adjacent zone is cooling and the heat transfer amount to the current zone is negative; and -1 in other cases. The system accumulates the contribution values ​​from the preceding and subsequent segments. If the accumulated result is positive, the overall external thermal influence direction is determined to be the heating direction; if the accumulated result is negative, the overall external thermal influence direction is determined to be the cooling direction; if the accumulated result is zero, the overall external thermal influence direction is determined to be neutral or remain unchanged. For example, if the current segment is simultaneously affected by the heating influence of the previous segment and the cooling influence of the next segment, the system calculates the external thermal influence contribution values ​​of both separately and accumulates them. If the accumulated result is positive, the final determination is that the external thermal influence is in the heating direction; if the accumulated result is negative, the final determination is that the external thermal influence is in the cooling direction; if the accumulated result is zero, the final determination is that the direction is neutral or remains unchanged. Since the contribution values ​​of the previous segment and the next segment are both positive in this case, the cumulative result is always positive regardless of which side has a larger transfer amount, and the final judgment result is always the direction of heating. Only when the temperature change trend of a certain adjacent segment is inconsistent with the direction of its heat transfer amount, the contribution value of that adjacent segment is negative, which may lead to a negative cumulative result, thus causing the judgment result to change to the direction of cooling.

[0034] After obtaining the external thermal impact assessment result for a section, the system compares this result with the current temperature deviation status of the section to determine whether immediate temperature adjustment is necessary. When the external thermal impact assessment result matches the current temperature deviation status, it indicates that the external thermal impact is pushing the current section in the direction of the deviation, which may further exacerbate the deviation or delay recovery. Therefore, the system does not generate a temperature adjustment request and marks the corresponding section as a delayed adjustment section, waiting for the external thermal impact to subside or reverse before adjustment. For example, when the current section temperature deviation is positive and the external thermal impact assessment result also indicates a heating trend, the system marks this section as a delayed adjustment section and records relevant information.

[0035] When the external thermal influence determination result of a section is inconsistent with the current temperature deviation state of the section, it indicates that the external thermal influence is offsetting the deviation of the current section. At this time, the system will generate a restricted temperature adjustment demand and mark the corresponding section to be controlled as a restricted adjustment section. Simultaneously, the system determines the upper limit of the temperature adjustment range for this section based on the magnitude of the external thermal influence transfer, the degree of difference between the direction of the external influence and the current deviation direction, and production operation constraints. This upper limit is recorded together with the restricted adjustment sections to form a set of restricted adjustment sections. This upper limit of the temperature adjustment range is used to limit the maximum allowable heating or cooling rate of this section in subsequent adjustments, to avoid excessive superposition of adjustment actions with external thermal influences, leading to over-adjustment or oscillation. For example, when the current section temperature deviation is a positive deviation but the external thermal influence determination result is a cooling direction, and the external thermal influence transfer amount is 0.7, the system may limit the cooling adjustment range of this section to a maximum of -2℃ / s to avoid excessive superposition with the external thermal influence; conversely, if the external thermal influence transfer amount is small (e.g., 0.2), the upper limit of the cooling adjustment range for this section can be relaxed.

[0036] Finally, the system aggregates and integrates the sets of immediate adjustment sections, restricted adjustment sections, and delayed adjustment sections to form a section temperature adjustment demand table containing section adjustment trigger identifiers, adjustment direction identifiers, and adjustment type identifiers. In this table, the immediate adjustment section is recorded with the adjustment trigger identifier "Immediate Adjustment," and the adjustment direction identifier is determined as heating or cooling based on the temperature deviation status; the restricted adjustment section is recorded with the adjustment trigger identifier "Restricted Adjustment," along with adjustment range constraints; and the delayed adjustment section is recorded with the adjustment trigger identifier "Delayed Adjustment," so that the subsequent adjustment decision module can uniformly schedule them based on the overall thermal impact and production operation status.

[0037] Furthermore, based on the segment temperature adjustment demand table, the corresponding initial temperature control parameters are obtained, and the temperature control devices of each segment to be controlled are adjusted to obtain the adjusted temperature feedback data. Then, based on the temperature feedback data, the heat transfer of the segment is evaluated to determine whether each segment to be controlled needs to continue temperature adjustment. Temperature control is only performed on segments that meet the adjustment conditions, specifically including: Obtain the temperature adjustment demand table for each section, and read the adjustment trigger identifier, adjustment direction identifier, and adjustment type identifier for each section to be controlled. Based on the adjustment direction identifier of each control section, the corresponding temperature adjustment direction parameter is determined, and combined with the preset section temperature adjustment reference value, the initial temperature adjustment amplitude of each control section is generated. For the instantaneous adjustment section, the initial temperature control parameters are directly generated based on the initial temperature adjustment range; For the restricted regulation section, based on the initial temperature regulation range and combined with the corresponding regulation range constraint conditions, the temperature regulation range is limited to generate restricted initial temperature control parameters. For the delay adjustment section, temperature control parameters are not generated temporarily, and the corresponding section delay status is recorded; The initial temperature control parameters of each instantaneous adjustment section and the limited adjustment section are sent to the temperature control device of the corresponding control section to execute the temperature adjustment operation. After the temperature adjustment operation is completed, the adjusted temperature feedback data of each control section is obtained to form a section temperature feedback sequence. Based on the segment temperature feedback sequence, the segment heat effect transfer between adjacent controlled segments is recalculated to obtain the updated segment heat effect transfer assessment results. The updated assessment results of heat transfer in the section are compared with the preset stability criteria to determine whether each section to be controlled still meets the temperature regulation conditions. For the control section that still meets the temperature regulation conditions, continue to execute the corresponding temperature regulation operation; for the control section that does not meet the temperature regulation conditions, stop the temperature regulation operation, and complete one closed loop of section temperature control.

[0038] Specifically, after obtaining the segment temperature adjustment demand table, the system sequentially reads the adjustment trigger identifier, adjustment direction identifier, and adjustment type identifier corresponding to each controllable segment, and forms a segment adjustment information set for subsequent adjustment parameter generation. Then, the system determines the corresponding temperature adjustment direction parameter based on the adjustment direction identifier of each controllable segment. For example, when the adjustment direction identifier is heating, the temperature adjustment direction parameter is positive; when the adjustment direction identifier is cooling, the temperature adjustment direction parameter is negative. The system further quantifies the temperature adjustment direction parameter of each controllable segment by combining it with a preset segment temperature adjustment benchmark, generating the corresponding initial temperature adjustment range. Specifically, if the preset segment temperature adjustment benchmark is 2℃, and the adjustment direction identifier of a controllable segment is heating, then the initial temperature adjustment range of that segment is +2℃; if the adjustment direction identifier is cooling, then the initial temperature adjustment range is -2℃. In actual operation, the system can also weight and adjust the reference value according to the temperature deviation. For example, when the temperature deviation of a certain section reaches 0.5℃, the reference value is multiplied by 1.2 to obtain an initial adjustment range of 2.4℃, thereby improving the adjustment effect. After generating the initial temperature adjustment range, the system classifies different types of sections according to the section adjustment trigger identifier. For instant adjustment sections, the system directly uses its initial temperature adjustment range as the initial temperature control parameter and sends the parameter to the temperature control device of the corresponding section to be controlled according to the adjustment direction to execute the temperature adjustment operation. For restricted adjustment sections, the system limits the temperature adjustment range based on the initial temperature adjustment range and the corresponding adjustment range constraint conditions to avoid conflicts with external thermal influences or over-adjustment. For example, if the initial temperature adjustment range of a restricted adjustment section is -2℃, but its adjustment range constraint condition limits the current adjustment range to no more than -1℃, then the system adjusts the final temperature adjustment range of the section to -1℃ and generates the corresponding restricted initial temperature control parameter. For delayed adjustment sections, the system does not generate temperature control parameters and records the corresponding section delay state so that adjustment can be retried after changes in external thermal influence. After generating and limiting the initial temperature control parameters, the system sends the initial temperature control parameters for each immediate and limited adjustment section to the temperature control device of the corresponding controlled section, initiating the temperature adjustment operation. After the temperature adjustment operation is completed, the system collects the adjusted temperature feedback data for each controlled section and forms a section temperature feedback sequence for subsequent thermal influence assessment and closed-loop judgment.

[0039] At the end of each adjustment cycle, the system records the real-time temperature values ​​of each segment and generates a temperature feedback sequence based on the sampling frequency. For example, sampling 30 times within an adjustment cycle results in a segment temperature feedback sequence containing 30 temperature points. Based on the segment temperature feedback sequence, the system recalculates the segment heat transfer between adjacent controlled segments, obtaining an updated segment heat transfer assessment result. This calculation process is consistent with the aforementioned segment heat transfer generation process, primarily assessing the heat transfer intensity by comparing the temperature change trends and synchronization levels of adjacent segments after adjustment. Subsequently, the system compares the updated segment heat transfer assessment result with preset stability criteria to determine whether each controlled segment still meets the temperature adjustment conditions. Specifically, if the heat transfer of a segment remains below a preset threshold and the temperature deviation drops to an acceptable range for three consecutive adjustment cycles, the system determines that the segment has met the stability conditions and stops temperature adjustment; if the heat transfer of a segment is still greater than the threshold or the temperature deviation has not reached the target, the system determines that it still meets the temperature adjustment conditions and continues to execute the corresponding temperature adjustment operation. After making the above judgments, the system continues to execute the corresponding temperature regulation operation for the controllable sections that still meet the temperature regulation conditions, and acquires temperature feedback data again for iterative calculation after the next regulation cycle ends. For the controllable sections that do not meet the temperature regulation conditions, the system stops the temperature regulation operation and removes them from the current regulation cycle, completing one closed loop of section temperature control. The entire process forms a continuously iterative closed-loop control mechanism to ensure that the temperature deviation of each controllable section is within a controllable range, and to achieve a stable temperature control effect while considering the thermal effects between sections.

[0040] Furthermore, a data feedback-based temperature control system for continuous alloy production is proposed to implement the temperature control method described above, characterized by comprising: The data acquisition module is used to acquire production process information and real-time temperature data of each controllable section during the continuous production of alloys, and to generate a section-temperature status dataset. The segment division module is used to divide the continuous alloy production process into segments based on the segment-temperature state dataset and production process information, forming a library of segments to be controlled. The temperature characteristic analysis module is used to acquire historical temperature operation data of each controllable section in the controllable section library, and combine it with real-time temperature data to analyze the temperature deviation characteristics and temperature change trend characteristics of each controllable section, and generate a temperature change characteristic dataset of the section. The thermal impact calculation module is used to calculate the thermal impact transfer from the previous controlled section to the next controlled section based on the temperature change trend characteristics and production operation speed between adjacent controlled sections, and to generate a section thermal impact mapping dataset. The temperature regulation determination module is used to determine the temperature regulation requirements of each controllable section based on the temperature deviation characteristics and heat transfer amount of the section, and generate a section temperature regulation requirement table containing regulation trigger identifier, regulation direction identifier and regulation type identifier. The temperature control execution module generates corresponding initial temperature control parameters based on the section temperature adjustment demand table and sends them to the temperature control devices of each section to be controlled to perform temperature adjustment operations. At the same time, it acquires temperature feedback data and forms a section temperature feedback sequence to achieve closed-loop temperature control.

[0041] Furthermore, the segmentation module includes: The temperature sequence smoothing unit is used to perform noise filtering on the real-time temperature data of each process section to obtain a smooth temperature sequence. The gradient change calculation unit is used to calculate the rate of change of temperature gradient based on the smoothed temperature sequence and form a temperature gradient change sequence. The candidate boundary identification unit is used to calculate the average and standard deviation of gradient changes through a moving window, mark the positions that exceed the threshold as candidate segment boundaries and correct them. The segment merging unit is used to check the minimum segment length of the corrected candidate segment boundary sequence and merge excessively short segments with adjacent segments to form the final segment division result.

[0042] Furthermore, the temperature characteristic analysis module includes: The historical temperature acquisition unit is used to acquire the historical temperature operation data corresponding to the section to be controlled and align it with the real-time temperature data to form a historical temperature sequence of the section. Temperature deviation calculation unit: The temperature deviation calculation unit is used to calculate the temperature deviation characteristics based on the historical temperature sequence and the real-time temperature sequence of the segment. Temperature change trend calculation unit: The temperature change trend calculation unit is used to analyze the temperature change rate of the real-time temperature sequence of the section and form temperature change trend characteristics. The feature combination unit is used to combine temperature deviation features with temperature change trend features to generate a dataset of temperature change characteristics of a section.

[0043] Furthermore, the temperature regulation determination module includes: The judgment parameter generation unit is used to obtain the temperature deviation characteristics and heat influence transfer of each control section, and form a set of section regulation judgment parameters. The adjustment demand determination unit is used to identify immediate, restricted, or delayed adjustment sections based on temperature deviation characteristics and the heat effect transfer of the section, and to generate a section temperature adjustment demand table. The adjustment trigger generation unit is used to associate the judgment result with the adjustment type, direction and amplitude constraints to form adjustment parameters that can be used by the temperature control execution module.

[0044] In summary, the advantages of this invention are as follows: By dynamically dividing and analyzing the real-time and historical temperature data of each controllable section in the continuous alloy production process, it is possible to accurately extract temperature deviation characteristics and temperature change trend characteristics. Furthermore, by combining the temperature changes of adjacent sections, the heat transfer amount of each section can be calculated, enabling immediate, restricted, or delayed temperature adjustment of each section, forming a closed-loop temperature control mechanism. This significantly improves the accuracy and stability of temperature control in each section during production, reduces the impact of temperature fluctuations on product quality and process consistency, ensures temperature uniformity in each section, and achieves efficient, reliable, and controllable production. Simultaneously, it helps reduce energy consumption, improve equipment operating efficiency, and enhance the intelligence and automation level of the production process.

[0045] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for temperature control in continuous alloy production based on data feedback, characterized in that, include: Acquire production process information and corresponding real-time temperature data for each process section during the continuous production of the alloy. The production process information includes alloy material type, workpiece thickness, and production speed. Based on production process information and real-time temperature data, the continuous alloy production process is divided into sections to obtain a library of controllable sections containing multiple controllable sections. Historical temperature operation data of each controllable section in the controllable section library are obtained, and combined with real-time temperature data, the temperature change characteristics of each controllable section are analyzed to extract temperature deviation characteristics and temperature change trend characteristics. Based on the temperature change trend characteristics and production operation speed between adjacent controllable sections, the heat transfer amount of the previous controllable section to the next controllable section is obtained. Based on the temperature deviation characteristics and the heat transfer amount of the section, the adjustment demand is determined, and the section temperature adjustment demand table is obtained. Based on the temperature adjustment requirement table for each section, the corresponding initial temperature control parameters are obtained, and the temperature control devices for each section to be controlled are adjusted to obtain the adjusted temperature feedback data. Then, the heat transfer of the section is evaluated based on the temperature feedback data to determine whether each section to be controlled needs to continue to perform temperature adjustment operations, and temperature control is only performed on sections that meet the adjustment conditions.

2. The method for controlling the temperature of continuous alloy production based on data feedback according to claim 1, characterized in that, The process involves dividing the continuous alloy production process into segments based on production process information and real-time temperature data, and obtaining a library of controllable segments containing multiple controllable segments. Specifically, this includes: Based on the real-time temperature data of each process section during the continuous alloy production process, the real-time temperature sequence of the continuous alloy production process is obtained, and noise filtering is performed to obtain a smooth temperature sequence. Based on the smoothed temperature sequence, the rate of change of temperature gradient at each time point is obtained, forming a temperature gradient change sequence. By setting a fixed-length moving window, the average value and standard deviation of the temperature gradient change sequence are calculated within each window. The positions where the gradient change exceeds the average value plus or minus a certain multiple of the standard deviation within the window are marked as candidate segment boundaries, thus obtaining a preliminary candidate segment boundary sequence. The time point corresponding to each boundary in the preliminary candidate segment boundary sequence is matched with its corresponding production speed. The physical position of the boundary in the production process is obtained based on the time interval between the boundaries and the corresponding speed. The boundary positions are then adjusted to obtain the corrected candidate segment boundary sequence. The minimum segment length is checked on the corrected candidate segment boundary sequence. Segments with lengths lower than a preset threshold are merged with adjacent segments to obtain the segment division result. For each segment in the segment division results, a record of the segment to be controlled is generated by combining the corresponding production process information; All records of the sections to be controlled are integrated in the order of production to form a library of sections to be controlled.

3. The method for controlling the temperature of continuous alloy production based on data feedback according to claim 2, characterized in that, The process involves acquiring historical temperature data for each controllable section from the controllable section database, and combining this with real-time temperature data to analyze the temperature change characteristics of each controllable section, extracting temperature deviation features and temperature change trend features. Specifically, this includes: Obtain the historical temperature operation data corresponding to each controllable section in the controllable section library, and perform time alignment processing according to the same time granularity as the real-time temperature data to form a historical temperature sequence of the section. Statistical processing is performed on the historical temperature sequence of the section to calculate the historical reference temperature of each section to be controlled at the corresponding time position, thus forming the historical reference temperature sequence of the section. Acquire real-time temperature data for each control section and extract the real-time temperature sequence of the corresponding section according to the section division results; Based on the real-time temperature sequence and the historical reference temperature sequence of the section, the temperature difference at each time point is obtained to form the temperature deviation sequence of the section. The temperature deviation sequence is then statistically analyzed to form the temperature deviation characteristics of the section. Time series analysis is performed on the real-time temperature sequence of the section to calculate the rate of temperature change between adjacent time points and form a temperature change rate sequence of the section. Based on the temperature change rate sequence of the section, the average value and direction of the temperature change rate of the section are obtained, forming the temperature change trend characteristics of the section. By combining the temperature deviation characteristics of the sections with the temperature change trend characteristics of the sections, the temperature change characteristic analysis results corresponding to each section to be controlled are formed.

4. The method for controlling the temperature of continuous alloy production based on data feedback according to claim 3, characterized in that, The method for obtaining the heat transfer amount from one controlled section to the next, based on the temperature change trend characteristics and production operation speed between adjacent controlled sections, specifically includes: Obtain the temperature change trend characteristics of each control segment in the control segment library, and form a segment pair combination for each pair of adjacent control segments to obtain a list of adjacent segment pairs. Based on the adjacent segment pair list, the segment temperature change rate sequence of the previous segment to be controlled and the next segment to be controlled are obtained respectively, and the corresponding time positions are aligned point by point. The difference of each pair of corresponding temperature change rates is calculated to obtain the temperature change comparison result sequence of each pair of adjacent segments. For each pair of adjacent controllable sections in the controllable section library, the time required for heat transfer from the previous controllable section to the next controllable section is obtained based on its production operation speed and section length, and is used as the section temperature transfer time. Based on the comparison of the direction of temperature change rate between the previous segment and the next segment, a preliminary value of the temperature change synchronization coefficient is obtained. The initial value of the temperature change synchronization coefficient is adjusted by the temperature transfer time of the sections, and the temperature change synchronization coefficient of each pair of sections is determined. Based on the temperature change comparison result sequence and synchronization coefficient, the heat transfer amount of the previous controllable section to the next controllable section is obtained, and preliminary transfer amount data of each pair of sections is formed. The initial heat transfer data is smoothed to eliminate the influence of instantaneous fluctuations on the heat transfer, resulting in a stable section heat transfer data. Based on the production process information of each control section, the corresponding section length and material heat capacity parameters are obtained to form a set of section physical parameters. Based on the length and heat capacity parameters of each section, the heat transfer amount of the stable section is weighted and adjusted to form a comprehensive transfer amount; The comprehensive transfer amount of each section is associated with the production process information of the corresponding section to generate a section heat impact mapping table; The section thermal impact mapping tables of all section pairs are integrated in the production order to form a complete section thermal impact transfer dataset; The formula for calculating the heat transfer amount in the aforementioned section is as follows: ； In the formula, For the heat transfer amount of the section, For the previous control section The total number of effective temperature change rate measurement points used for temperature change analysis. The first in the previous control section The rate of temperature change at each time point For the next control section and the first The rate of temperature change at each time point This is the temperature change synchronization coefficient between the previous control zone and the next control zone.

5. The method for controlling the temperature of continuous alloy production based on data feedback according to claim 4, characterized in that, The determination of adjustment needs based on temperature deviation characteristics and the heat transfer amount of the section yields a section temperature adjustment demand table, which specifically includes: Obtain the temperature deviation characteristics and heat transfer amount of each controllable section in the controllable section library to form a set of section regulation judgment parameters. Based on the temperature deviation characteristics, the current temperature deviation status of each control section is determined, and positive deviation status and negative deviation status are distinguished to obtain the section deviation status identifier. The heat impact transfer amount of each section to be controlled is compared with the preset heat impact threshold, and the section to be controlled that exceeds the preset threshold is identified, forming a set of high heat impact section identifiers. For the controllable sections that are not marked as high heat-affected sections, the corresponding temperature adjustment requirements are directly generated based on their temperature deviation status indicators, forming a set of instant adjustment sections. For the control section marked as a high heat-affected zone, the direction of the heat-affected zone's heat transfer and the temperature change trend of adjacent sections are combined to determine the direction of the external heat-affected zone's temperature deviation and form the external heat-affected zone judgment result. When the external thermal impact determination result of a section is consistent with the temperature deviation status of the current section, no temperature adjustment requirement is generated, and the corresponding section is marked as a delayed adjustment section. When the external thermal impact determination result of a section is inconsistent with the temperature deviation state of the current section, a restricted temperature regulation demand is generated, and the corresponding section to be controlled is marked as a restricted regulation section. At the same time, the corresponding regulation range constraint conditions are recorded to form a set of restricted regulation sections. The sets of immediate adjustment sections, limited adjustment sections, and delayed adjustment sections are summarized to form a section temperature adjustment requirement table that includes section adjustment trigger identifiers, adjustment direction identifiers, and adjustment type identifiers.

6. The method for controlling the temperature of continuous alloy production based on data feedback according to claim 5, characterized in that, The process involves obtaining the corresponding initial temperature control parameters based on the temperature adjustment demand table for each section, adjusting the temperature control device for each section to be controlled, acquiring adjusted temperature feedback data, evaluating the heat transfer of the section based on the temperature feedback data, determining whether each section needs to continue temperature adjustment, and only performing temperature control on sections that meet the adjustment conditions. Specifically, this includes: Obtain the temperature adjustment demand table for each section, and read the adjustment trigger identifier, adjustment direction identifier, and adjustment type identifier for each section to be controlled. Based on the adjustment direction identifier of each control section, the corresponding temperature adjustment direction parameter is determined, and combined with the preset section temperature adjustment reference value, the initial temperature adjustment amplitude of each control section is generated. For the instantaneous adjustment section, the initial temperature control parameters are directly generated based on the initial temperature adjustment range; For the restricted regulation section, based on the initial temperature regulation range and combined with the corresponding regulation range constraint conditions, the temperature regulation range is limited to generate restricted initial temperature control parameters. For the delay adjustment section, temperature control parameters are not generated temporarily, and the corresponding section delay status is recorded; The initial temperature control parameters of each instantaneous adjustment section and the limited adjustment section are sent to the temperature control device of the corresponding control section to execute the temperature adjustment operation. After the temperature adjustment operation is completed, the adjusted temperature feedback data of each control section is obtained to form a section temperature feedback sequence. Based on the segment temperature feedback sequence, the segment heat effect transfer between adjacent controlled segments is recalculated to obtain the updated segment heat effect transfer assessment results. The updated assessment results of heat transfer in the section are compared with the preset stability criteria to determine whether each section to be controlled still meets the temperature regulation conditions. For the control section that still meets the temperature regulation conditions, continue to execute the corresponding temperature regulation operation; for the control section that does not meet the temperature regulation conditions, stop the temperature regulation operation, and complete one closed loop of section temperature control.

7. A temperature control system for continuous alloy production based on data feedback, used to implement the temperature control method as described in any one of claims 1-6, characterized in that, include: The data acquisition module is used to acquire production process information and real-time temperature data of each controllable section during the continuous production of alloys, and to generate a section-temperature status dataset. The segment division module is used to divide the continuous alloy production process into segments based on the segment-temperature state dataset and production process information to form a library of segments to be controlled. The temperature characteristic analysis module is used to acquire historical temperature operation data of each controllable section in the controllable section library, and combine it with real-time temperature data to analyze the temperature deviation characteristics and temperature change trend characteristics of each controllable section, and generate a temperature change characteristic dataset of the section. The thermal impact calculation module is used to calculate the thermal impact transfer from the previous controlled section to the next controlled section based on the temperature change trend characteristics and production operation speed between adjacent controlled sections, and to generate a section thermal impact mapping dataset. The temperature regulation determination module is used to determine the temperature regulation requirements of each controllable section based on the section temperature deviation characteristics and the section heat influence transfer amount, and generate a section temperature regulation requirement table including regulation trigger identifier, regulation direction identifier and regulation type identifier. The temperature control execution module is used to generate corresponding initial temperature control parameters according to the section temperature adjustment demand table, and send them to the temperature control devices of each section to be controlled to perform temperature adjustment operations. At the same time, it acquires temperature feedback data and forms a section temperature feedback sequence to realize closed-loop temperature control.

8. A temperature control system for continuous alloy production based on data feedback according to claim 7, characterized in that, The segmentation module includes: A temperature sequence smoothing unit is used to perform noise filtering on the real-time temperature data of each process section to obtain a smooth temperature sequence. A gradient change calculation unit is used to calculate the rate of change of temperature gradient based on a smoothed temperature sequence and to form a temperature gradient change sequence. A candidate boundary identification unit is used to calculate the average and standard deviation of gradient changes through a moving window, mark the positions that exceed the threshold as candidate segment boundaries and correct them. The segment merging unit is used to check the minimum segment length of the corrected candidate segment boundary sequence and merge excessively short segments with adjacent segments to form the final segment division result.

9. A temperature control system for continuous alloy production based on data feedback according to claim 7, characterized in that, The temperature characteristic analysis module includes: A historical temperature acquisition unit is used to acquire historical temperature operation data corresponding to the section to be controlled and align it with real-time temperature data to form a historical temperature sequence of the section. A temperature deviation calculation unit is used to calculate temperature deviation characteristics based on the historical temperature sequence and the real-time temperature sequence of the segment. A temperature change trend calculation unit is used to analyze the temperature change rate of the real-time temperature sequence of a section and form temperature change trend characteristics. The feature combination unit is used to combine temperature deviation features with temperature change trend features to generate a segment temperature change feature dataset.

10. A temperature control system for continuous alloy production based on data feedback according to claim 7, characterized in that, The temperature regulation determination module includes: A judgment parameter generation unit is used to obtain the temperature deviation characteristics and heat influence transfer of each control section to form a set of section adjustment judgment parameters. The adjustment demand determination unit is used to identify immediate, restricted or delayed adjustment sections based on temperature deviation characteristics and section heat effect transmission amount, and generate a section temperature adjustment demand table. An adjustment trigger generation unit is used to associate the judgment result with the adjustment type, direction and amplitude constraints to form adjustment parameters that can be used by the temperature control execution module.

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