Aluminum alloy die casting process temperature closed loop control system

Abstract

The present application relates to the technical field of automation control, in particular to a temperature closed-loop control system for aluminum alloy die casting process, which comprises a thermal disturbance identification module, a thermal beat reconstruction module, an adjustment window mapping module, an execution channel binding module and a thermal synchronization correction module. In the present application, the beat characteristics of multi-region thermal action sequence are extracted and mapped to realize the positioning and time anchoring of the source of thermal disturbance in the die casting cycle. The action reconstruction based on continuous cycle exhibits the rhythm difference of heating and cooling behavior, strengthens the identification ability of the thermal response difference between regions, makes the thermal isolation relationship between concurrent adjustment channels clearer, improves the coordination of thermal regulation input, reduces the regulation mismatch and false triggering through real-time correction of thermal synchronization deviation, realizes the rhythm consistency and response refinement of the temperature regulation process, effectively suppresses the thermal disturbance diffusion between regions, enhances the stability of die casting temperature control and the controllability of the forming process, and ensures the die casting quality and operation efficiency.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, and in particular to a closed-loop temperature control system for the aluminum alloy die-casting process. Background Technology

[0002] The field of automation control technology involves collecting system state parameters through sensors, analyzing and processing the collected data using control algorithms, and adjusting the system in real time through actuators to achieve precise control and optimized operation in the production process. This technology encompasses several core aspects, including industrial process control, mechatronics systems, intelligent manufacturing equipment, and closed-loop feedback control systems, and is widely used in manufacturing, transportation, energy, and other fields. Its key lies in achieving a coordinated balance between system stability, response speed, and control precision. Specifically, the traditional closed-loop temperature control system for aluminum alloy die casting refers to a control system that, in aluminum alloy die casting production, collects mold temperature or molten metal temperature data through temperature sensors to ensure casting quality and process stability. This temperature signal is then compared with a set target temperature, and heating or cooling devices are adjusted based on the temperature difference calculation to maintain the temperature within the target range. Traditional methods use temperature measuring elements such as thermocouples to obtain the real-time temperature of the mold or cavity, perform data calculation and logical judgment through a PLC controller or microcontroller, and then use electric heaters, water cooling systems, or air cooling equipment as actuators to adjust the mold temperature. The control strategy often uses proportional-integral-derivative (PID) control algorithms to respond to temperature changes and achieve closed-loop regulation in the die casting process.

[0003] Existing closed-loop temperature control for aluminum alloy die casting relies on direct acquisition of mold or molten metal temperature and error-based adjustment response. During cyclic operation, the thermal adjustment action lacks rhythmic correlation identification of the thermal state in different mold areas. The control process cannot identify the phase shift of heating or cooling actions under the die casting cycle, causing long-term masking of thermal response differences in local areas during continuous cycles. This results in a lag between adjustment commands and actual heat load changes, a lack of identification mechanism for the coupling degree of concurrent adjustment behaviors, and the easy misjudgment of cross-influence of heat conduction as normal fluctuations. This leads to the accumulation and amplification of thermal disturbances in different areas, affecting the stability and coordination of temperature control, increasing the risk of casting defects, and limiting the system's fine-grained control capabilities. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the existing technology and propose a closed-loop temperature control system for the aluminum alloy die casting process.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a closed-loop temperature control system for aluminum alloy die casting process includes:

[0006] The thermal disturbance identification module acquires the heating and cooling execution signal sequence of the die-casting mold area in a continuous cycle, performs phase offset detection, extracts the trigger time and area coordinates where the offset exceeds the thermal response synchronization tolerance, marks them as the initial anchor point of thermal adjustment, and obtains the thermal disturbance mark set of the die-casting mold.

[0007] The thermal beat reconstruction module collects the heater on / off state sequence and cooling valve on / off state sequence of the corresponding region based on the mold area number and period index information in the thermal disturbance mark set of the die casting mold, and outputs the mold thermal action beat reconstruction map.

[0008] The adjustment window mapping module reconstructs the thermal action sequence in the mold thermal action rhythm reconstruction map, maps the heating and cooling time intervals within each cycle, determines the locked thermal adjustment period, and generates a thermal adjustment time window mapping path map.

[0009] The execution channel binding module obtains the heating on / off status of the first and second cycles of the adjustment segment in the thermal adjustment time window mapping path diagram, identifies the magnitude of status change, and if the change of the continuous adjustment segment exceeds the multi-region thermal isolation discrimination threshold, the associated region index is extracted and an aluminum alloy die casting concurrent adjustment channel task control table is generated.

[0010] As a further embodiment of the present invention, the die-casting mold thermal disturbance mark set includes thermal disturbance frequency distribution points, execution action start timestamps, and thermal disturbance and position intersection nodes; the mold thermal action beat reconstruction map includes a cycle sequence index chain, disordered thermal action adjustment marks, and beat alignment labels; the thermal adjustment time window mapping path map includes thermal adjustment lock period identifiers, mapping window sequences, and cycle step indexes; and the aluminum alloy die-casting concurrent adjustment channel task control table includes concurrent adjustment channel input lock area indexes, adjustment segment state change amplitude records, and multi-region thermal isolation discrimination labels.

[0011] As a further aspect of the present invention, the thermal disturbance identification module includes:

[0012] The action start extraction submodule acquires the heater on / off signal and cooling valve opening / closing signal of the die casting mold area during the continuous die casting cycle. It sorts the thermal execution signals of each group of areas according to the die casting cycle benchmark, groups the thermal execution signal set according to the mold area number, and performs position mapping according to the sorted thermal execution signal sequence and the die casting cycle benchmark to generate the area thermal action start time sequence.

[0013] The phase offset detection submodule performs time interval calculations sequentially on the thermal action trigger times of adjacent cycles based on the thermal action start time sequence of the region, compares the time interval sequence with the thermal response synchronization tolerance threshold point by point, and marks the time points that exceed the thermal response synchronization tolerance threshold to generate a set of thermal disturbance candidate nodes.

[0014] The disturbance node verification submodule determines whether the offset of the thermal action trigger time in three consecutive cycles exceeds the thermal response synchronization tolerance threshold based on the thermal disturbance candidate node set. It extracts the execution action start timestamps corresponding to the consecutive offset segments that meet the conditions, and locates the thermal disturbance and position intersection nodes by combining the mold area number and die casting cycle index, and generates a die casting mold thermal disturbance mark set.

[0015] As a further aspect of the present invention, the thermal clock reconstructing module includes:

[0016] The disturbance cycle acquisition submodule obtains the mold area number and cycle index parameter of the die casting mold thermal disturbance mark set, extracts the heater on / off state and cooling valve on / off state of the corresponding area in multiple consecutive die casting cycles according to each group of area numbers, arranges the extracted thermal execution states in cycle order, and generates a set of regional thermal action state sequences by changing the thermal execution state structure grouped by region in continuous cycles.

[0017] The beat alignment submodule calculates the thermal action triggering time interval during consecutive cycles in the region based on the regional thermal action state sequence set, determines whether the time interval between adjacent cycles meets the beat spacing consistency benchmark value, rearranges the beat order of the original thermal action sequence, and reconstructs the cycle index relationship of all regional thermal action data after adjustment to obtain the reconstructed beat sequence matrix.

[0018] The sliding beat construction submodule, based on the intersection of the region and period index in the reconstructed beat sequence matrix, maps the distribution of the region's thermal action on the period axis using the thermal execution state sequence, establishes a traceable record path structure for the thermal action using the period distribution sequence, summarizes the sliding index path information of the region, establishes the connection relationship between nodes and the source identification of the region's thermal action, and generates a mold thermal action beat reconstruction map.

[0019] As a further aspect of the present invention, the adjustment window mapping module includes:

[0020] The hot window positioning submodule reconstructs the hot action sequence in the hot action rhythm map of the mold, extracts the sliding step index value of the regional node on the period axis, segments the period index sequence of each region according to the window step size, identifies the period segment to which the hot action belongs by the period index value, and outputs the period index distribution table in the window.

[0021] The thermal frequency concentration judgment submodule counts the number of thermal disturbance cycles within the window according to the period index distribution table within the window, extracts the distribution of thermal disturbance frequency within the period index interval, calculates and obtains the period segment concentration index, determines whether it exceeds the concentration threshold and performs concentrated period segment judgment, and obtains the concentrated thermal disturbance period segment identifier sequence.

[0022] The locking path construction submodule filters the corresponding periodic index intervals based on the concentrated thermal disturbance periodic segment identifier sequence, extracts the periodic path node sequence in the mold thermal action beat reconstruction map, reads the concentrated periodic segment path mapping information, and generates a thermal adjustment time window mapping path map.

[0023] As a further aspect of the present invention, the periodic segment concentration index refers to the concentration of thermal disturbance within each periodic segment obtained by statistical analysis of the frequency of thermal disturbance cycles within a given periodic index interval.

[0024] The periodic path node sequence refers to the set of nodes of the periodic path extracted from the periodic index interval corresponding to the periodic segment.

[0025] As a further aspect of the present invention, the execution channel binding module includes:

[0026] The state amplitude extraction submodule obtains the heating on / off states of the first and second cycles of the adjustment segment in the thermal regulation time window mapping path diagram, and extracts the thermal execution state pairs between consecutive adjustment segments in the same region using the formula:

[0027] ;

[0028] Calculate the characteristic value of the state change amplitude of the adjustment section, and convert it into a logic level change quantity to generate a sequence of state change amplitudes of the adjustment section;

[0029] Where P represents the characteristic value of the magnitude of the change in the state of the control segment, and M represents the number of consecutive control segments participating in the calculation of the characteristic value of the magnitude of the change in the state of the control segment within the same region. This represents the logic level value obtained by uniformly converting the heating on / off state of the i-th adjustment segment in the first cycle within the same region. β represents the logic level value obtained by uniform conversion of the heating on / off state of the i-th regulating segment in the second cycle within the same region, and β represents the dimensionless weighted coefficient of the logic level difference between the first and second cycles of the regulating segment within the same region.

[0030] The thermal isolation discrimination submodule determines whether the change amplitude of each group is greater than the multi-region thermal isolation discrimination threshold according to the sequence of change amplitudes of the adjustment segment state. The adjustment segment with the change amplitude greater than the multi-region thermal isolation discrimination threshold is marked as a valid thermal isolation segment. The index positions that meet the conditions are counted to obtain the index set of valid thermal isolation adjustment segments.

[0031] The channel node binding submodule, based on the thermally isolated effective adjustment segment index set, uses the starting index of each group of adjustment segments that meet the conditions as the input node index number, and associates it with the sliding path ID to which the current adjustment segment belongs, to perform adjustment concurrent channel mapping and synchronously mark it as the locked adjustment input area, and establishes an aluminum alloy die-casting concurrent adjustment channel task control table.

[0032] As a further aspect of the present invention, the system also includes a thermal synchronization correction module:

[0033] The thermal synchronization correction module extracts the real-time thermal action difference sequence of the input locking area of ​​the concurrent adjustment channel based on the aluminum alloy die casting concurrent adjustment channel task control table. If it exceeds the thermal synchronization tolerance threshold, it triggers the adjustment state pause command, restarts the initial thermal anchoring path, and generates a fine control list for the closed loop of aluminum alloy die casting temperature.

[0034] The aluminum alloy die-casting temperature closed-loop fine control list includes adjustment status update records, initial thermal anchoring path index, and thermal synchronization tolerance judgment label.

[0035] As a further aspect of the present invention, the thermal synchronization correction module includes:

[0036] The action difference monitoring submodule obtains the locking zone index in the task control table of the concurrent adjustment channel of the aluminum alloy die casting, extracts the first cycle thermal execution state of the current concurrent adjustment channel input locking zone and the first cycle thermal execution state of the corresponding initial binding cycle, calculates the logical difference between the two sets of thermal execution states in the order of the cycle axis, and obtains the locking zone thermal action difference sequence.

[0037] The synchronization loss judgment submodule determines whether there are period pairs that exceed the set thermal synchronization tolerance threshold based on the thermal action difference sequence of the locked area, extracts the adjustment segment index that is greater than the thermal synchronization tolerance threshold in the difference sequence, and marks the state as loss of synchronization. For each group of loss of synchronization adjustment segments, the path number and backtracking target are recorded, and a loss of synchronization path identifier list is generated.

[0038] The status backtracking correction submodule sets the status of the associated adjustment path to pause based on the out-of-step path identifier list, backtracks to the original bound adjustment segment, resets the target path to the initial thermal anchoring path, updates the path status information record table within the period according to the periodic index, marks the status field change flag, and establishes a list structure table for the closed-loop fine control of aluminum alloy die casting temperature.

[0039] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0040] In this invention, by extracting and mapping the rhythmic features of multi-regional thermal action sequences, the source of thermal disturbance within the die-casting cycle is accurately located and time-anchored. Based on continuous cycle action reconstruction, the true rhythm of heating and cooling behavior is revealed, thereby enhancing the ability to identify differences in thermal response in different regions. By mapping time windows, the adjustment stage is locked and the path is organized, making the thermal isolation relationship between concurrent adjustment channels clearer and improving the coordination of thermal adjustment input. By real-time correction of thermal synchronization deviation, adjustment mismatch and false triggering are reduced, achieving rhythmic consistency and refined response in the temperature adjustment process. This effectively suppresses the diffusion of thermal disturbance between regions, enhances the stability of die-casting temperature control and the controllability of the molding process, and ensures the consistency of die-casting quality and operational efficiency. Attached Figure Description

[0041] Figure 1 This is a system flowchart of the present invention;

[0042] Figure 2 This is a flowchart of the thermal disturbance identification module in this invention;

[0043] Figure 3 This is a flowchart of the thermal beat reconstruction module in this invention;

[0044] Figure 4 This is a flowchart of the adjustment window mapping module in this invention;

[0045] Figure 5 This is a flowchart of the channel binding module in this invention;

[0046] Figure 6 This is a flowchart of the thermal synchronization correction module in this invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0048] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0049] Please seeFigure 1 A closed-loop temperature control system for aluminum alloy die casting process includes:

[0050] The thermal disturbance identification module acquires the heating and cooling execution signal sequence of each area of ​​the die casting mold in a continuous die casting cycle, detects the phase offset of the heating or cooling action relative to the die casting cycle reference, and when it exceeds the thermal response synchronization tolerance threshold, extracts the start timestamp of the execution action and the mold position coordinates, and marks them as the initial anchor point of thermal adjustment to obtain the thermal disturbance mark set of the die casting mold.

[0051] The thermal cycle reconstruction module collects the mold area number and cycle index information based on the thermal disturbance mark of the die casting mold, collects the heater on / off state sequence and cooling valve opening / closing state sequence of the corresponding area in multiple consecutive die casting cycles, and outputs the mold thermal action cycle reconstruction map.

[0052] The adjustment window mapping module reconstructs the thermal action sequence in the mold thermal action rhythm map, maps and locates the time interval of heating and cooling actions within the die casting cycle within the window, determines the thermal adjustment lock period, and generates a thermal adjustment time window mapping path diagram.

[0053] The execution channel binding module obtains the thermal regulation time window mapping path diagram. By calculating the change amplitude of the heating on / off state of the regulation section, if the amplitude is greater than the multi-region thermal isolation discrimination threshold, it is bound as the input locking area of ​​the current concurrent regulation channel, and the aluminum alloy die casting concurrent regulation channel task control table is generated.

[0054] The thermal synchronization correction module is based on the task control table of the concurrent adjustment channel for aluminum alloy die casting. It identifies the real-time thermal action difference sequence in the input locking area of ​​the concurrent adjustment channel. If it exceeds the set thermal synchronization tolerance threshold, it triggers the adjustment status pause command, reactivates the initial thermal anchoring path, and generates a fine control list for the closed loop of aluminum alloy die casting temperature.

[0055] The die-casting mold thermal disturbance marker set includes thermal disturbance frequency distribution points, execution action start timestamps, and thermal disturbance and position intersection nodes. The mold thermal action beat reconstruction map includes cycle number index chain, disordered thermal action adjustment markers, and beat alignment labels. The thermal adjustment time window mapping path map includes thermal adjustment lock period identifiers, mapping window sequences, and cycle step indexes. The aluminum alloy die-casting concurrent adjustment channel task control table includes concurrent adjustment channel input lock area index, adjustment segment status change amplitude records, and multi-region thermal isolation discrimination labels. The aluminum alloy die-casting temperature closed-loop fine control list includes adjustment status update records, initial thermal anchoring path indexes, and thermal synchronization tolerance judgment labels.

[0056] Please see Figure 2 The thermal disturbance identification module includes:

[0057] The action start extraction submodule acquires the heater on / off signal and cooling valve opening / closing signal of the die casting mold area during the continuous die casting cycle. It sorts the thermal execution signals of each group of areas according to the die casting cycle benchmark, groups the thermal execution signal set according to the mold area number, and performs position mapping according to the sorted thermal execution signal sequence and the die casting cycle benchmark to generate the area thermal action start time sequence.

[0058] The heater on / off signal and cooling valve open / close signal are acquired from the sensor array in the die-casting mold area during continuous die-casting cycles. For example, for mold area A, in the first die-casting cycle (cycle 1), the heater receives a power-on command at 10.0 seconds and a power-off command at 30.0 seconds, and the cooling valve receives an open command at 20.0 seconds and a close command at 40.0 seconds; while in the second die-casting cycle (cycle 2), the heater power-on command is issued at 10.2 seconds, the power-off command is issued at 30.1 seconds, the cooling valve open command is issued at 20.3 seconds, and the close command is issued at 40.2 seconds. Next, the thermal execution signals of each mold area are rigorously sequenced according to a preset die-casting cycle benchmark. This die-casting cycle benchmark is set to 60.0 seconds, representing the theoretical ideal duration of each die-casting cycle. For the thermal execution signals of area A in cycle 1, they are arranged in chronological order to obtain a precise event sequence: 10.0 seconds (heater powered on), 20.0 seconds (cooling valve opened), 30.0 seconds (heater powered off), and 40.0 seconds (cooling valve closed). The sequenced thermal execution signal set is then grouped according to the unique number of the mold area. For example, all the sequenced thermal execution signals of area A are uniformly grouped into the data group of area A, while all the signals of area B are grouped into the data group of area B, ensuring a clear division of data sources. Next, based on the sorted thermal execution signal sequence and the established die-casting cycle benchmark, a precise position mapping is performed. The 10.0-second occurrence of the heater energization event in region A within cycle 1 is precisely mapped to the 10.0-second position within that die-casting cycle. Similarly, the 20.0-second occurrence of the cooling valve opening event is mapped to the 20.0-second position within the cycle, and so on. Finally, a region thermal action start time sequence containing the precise start times of thermal actions in each region is generated, laying a precise time foundation for subsequent thermal disturbance analysis.

[0059] The phase shift detection submodule performs time interval calculations sequentially on the trigger times of adjacent thermal actions based on the regional thermal action start time sequence. It compares the time interval sequence with the thermal response synchronization tolerance threshold point by point and marks the time points that exceed the thermal response synchronization tolerance threshold, generating a set of thermal disturbance candidate nodes.

[0060] Based on the regional thermal action start time sequence, for the heater energization action of mold region A, the trigger time of cycle 1 is extracted as 10.0 seconds, the trigger time of cycle 2 is 10.2 seconds, and the trigger time of cycle 3 is 10.5 seconds. The time interval between the heater energization time of cycle 2 and the heater energization time of cycle 1 is calculated to be 10.2 - 10.0 = 0.2 seconds; further, the time interval between the heater energization time of cycle 3 and the heater energization time of cycle 2 is calculated to be 10.5 - 10.2 = 0.3 seconds. Subsequently, the calculated time interval sequence is precisely compared point-by-point with the preset thermal response synchronization tolerance threshold. This thermal response synchronization tolerance threshold is set to 0.25 seconds. This threshold is determined by long-term, continuous monitoring of the die-casting mold in a stable operating state, recording the actual fluctuation range of its thermal action trigger time interval, and selecting the upper limit of its 95% confidence interval based on statistical principles. Through rigorous experimental verification, the 0.25-second setting can effectively distinguish between normal thermal fluctuations and potential thermal anomalies during die casting, thereby ensuring the accuracy of detection. When the time interval is 0.2 seconds, it is compared with the threshold of 0.25 seconds. If 0.2 seconds is less than 0.25 seconds, no marking operation is performed. When the time interval is 0.3 seconds, it is compared with the threshold of 0.25 seconds. If 0.3 seconds is greater than 0.25 seconds, then a clear mark is made at this time point. By marking the time points that exceed the thermal response synchronization tolerance threshold, a set of candidate thermal disturbance nodes is finally generated, providing a basis for subsequent disturbance confirmation.

[0061] The disturbance node verification submodule determines whether the offset of the thermal action trigger time exceeds the thermal response synchronization tolerance threshold within three consecutive cycles based on the thermal disturbance candidate node set. It extracts the execution action start timestamp corresponding to the consecutive offset segments that meet the conditions, and locates the thermal disturbance and position intersection node by combining the mold area number and die casting cycle index, and generates a die casting mold thermal disturbance mark set.

[0062] Based on the thermal disturbance candidate node set, when analyzing the heater on / off action of mold region A, the thermal disturbance candidate node set indicates that the offset of the thermal action trigger time in adjacent cycle pairs of cycles 2 to 3, 3 to 4, and 4 to 5 has exceeded the previously set thermal response synchronization tolerance threshold. Based on this, it is determined whether there is a situation where the offset of the thermal action trigger time continuously exceeds the thermal response synchronization tolerance threshold within three consecutive die-casting cycles. Through logical judgment, it is confirmed that cycles 2 to 3, 3 to 4, and 4 to 5 constitute the condition that the offset exceeds the limit for three consecutive cycles. Once the continuous offset condition is confirmed, the execution start timestamps corresponding to the continuous offset segments that meet this condition are precisely extracted; for example, the heater energization start timestamps for cycles 2, 3, and 4 are extracted. The extracted timestamp values ​​are as follows: heater energization start time for cycle 2 is 10.2 seconds, heater energization start time for cycle 3 is 10.5 seconds, and heater energization start time for cycle 4 is 10.8 seconds. Subsequently, combined with the unique number of the mold area and the corresponding die-casting cycle index, the intersection nodes of thermal disturbances and their time and spatial locations are accurately located. Specifically, the continuous offset of the heater energization action in mold area A during cycles 2, 3, and 4 is clearly marked as thermal disturbance. This process ultimately generates a thermal disturbance mark set for the die-casting mold, providing key data support for subsequent thermal management decisions.

[0063] Please see Figure 3 The hot beat reconstruction module includes:

[0064] The disturbance cycle acquisition submodule obtains the mold area number and cycle index parameter of the die casting mold thermal disturbance mark set. Based on each group of area numbers, it extracts the heater on / off state and cooling valve on / off state of the corresponding area in multiple consecutive die casting cycles. The extracted thermal execution states are arranged in cycle order. The changes of the thermal execution state structure grouped by region in continuous cycles are used to generate a set of regional thermal action state sequences.

[0065] The mold region number and cycle index parameters of the marked areas are accurately obtained from the thermal disturbance mark set of the die-casting mold. The mark set clearly indicates that mold region A has continuous thermal disturbance during cycle 2 to cycle 4, while mold region B also has thermal disturbance during cycle 5 to cycle 7. Based on the obtained region number, the heater on / off state and cooling valve on / off state of the corresponding region in multiple consecutive die-casting cycles are extracted from historical data. For example, for mold region A, the heater on / off state and cooling valve on / off state from cycle 1 to cycle 5 are extracted in detail. The obtained data example is as follows: During cycle 1, the heater is ON and the cooling valve is OFF; during cycle 2, the heater is ON and the cooling valve is ON; during cycle 3, the heater is OFF and the cooling valve is ON; during cycle 4, the heater is OFF and the cooling valve is OFF; during cycle 5, the heater is ON and the cooling valve is OFF. Subsequently, the extracted thermal execution states are arranged according to the order of their occurrence in the die-casting cycle to ensure the continuity and accuracy of the timeline. By grouping the thermal execution state structure according to the mold area and observing its dynamic changes in continuous cycles, for example, the evolution of the thermal execution state of area A from cycle 1 to cycle 5 can reveal the inherent laws and potential anomalies of thermal action in that area. Finally, this process generates a complete set of regional thermal action state sequences that record the thermal action states of each area and their sequential changes, providing basic data support for subsequent cycle reconstruction and thermal management optimization. This sequence set not only includes the on / off information of the heater but also covers the opening and closing status of the cooling valve, thus comprehensively reflecting the thermal management behavior of the mold area.

[0066] The beat alignment submodule calculates the thermal action triggering time interval during consecutive cycles in a region based on the regional thermal action state sequence set, determines whether the time interval between adjacent cycles meets the beat spacing consistency benchmark value, rearranges the beat order of the original thermal action sequence, and reconstructs the cycle index relationship for all regional thermal action data after adjustment to obtain the reconstructed beat sequence matrix.

[0067] The benchmark value for consistent beat intervals is calculated using the following formula:

[0068] ;

[0069] in, This indicates the deviation value of the beat interval consistency. This indicates the number of period pairs involved in the calculation of adjacent period intervals. Indicates the first The real-time thermal action triggering time interval measured during each week period. This represents the reference time interval for the beat spacing selected within the same area. This represents the amount of time compensation introduced when correcting the benchmark time interval in the same area;

[0070] Based on the regional thermal action state sequence set, for the energization of the heater in region A, the trigger time for cycle 1 is 10 seconds, cycle 2 is 10.2 seconds, cycle 3 is 10.5 seconds, cycle 4 is 10.8 seconds, and cycle 5 is 11.1 seconds. Therefore, the interval between cycles 1 and 2 is calculated to be 0.2 seconds, the interval between cycles 2 and 3 is 0.3 seconds, the interval between cycles 3 and 4 is 0.3 seconds, and the interval between cycles 4 and 5 is 0.3 seconds. It is then determined whether the time interval between adjacent cycles meets the beat interval consistency benchmark value. The beat interval consistency benchmark value is calculated using the formula... Calculate, where, This indicates the deviation value of the beat interval consistency. This indicates the number of period pairs involved in the calculation of adjacent period intervals. Indicates the first The real-time thermal action triggering time interval measured during each week period. This represents the reference time interval for the beat spacing selected within the same area. This represents the time compensation amount introduced when correcting the reference time interval for the beat spacing in the same area. In this embodiment, for the aluminum alloy die-casting process, the ideal reference time interval for the beat spacing is... The time is set to 60 seconds, a value directly derived from the standard production cycle time of the die-casting machine, and is a dimensionless time compensation amount. The compensation amount was set to 0.2 seconds. This was determined through long-term monitoring of the thermal triggering time interval in the mold area of ​​the die-casting machine under stable operating conditions. The monitoring revealed a systematic deviation of approximately 0.2 seconds from the ideal cycle time within the normal fluctuation range. Therefore, this value was set as follows: To make reasonable corrections when calculating deviations, thereby It can more accurately reflect the actual process stability, and the number of cycles involved in the calculation is relatively large. A value of 4 corresponds to the real-time hot action triggering time interval. They are respectively Second, Second, Second, Second;

[0071] Substitute the parameters into the formula to calculate: ;

[0072] Assuming the threshold for the consistency benchmark value of beat interval is set to 0.005, due to the calculated... A value of 0.00355, which is less than 0.005, indicates that the timing consistency of the current hot action trigger interval is good and no rearrangement is needed. The advantage of the formula is that it introduces a time compensation amount. The reference time interval is corrected so that the deviation calculation can more accurately reflect the tolerance of the actual process to the cycle fluctuation, which improves the evaluation accuracy of the die casting cycle stability. The cycle order of the original thermal action sequence is rearranged, and the cycle index relationship of the thermal action data of all regions is reconstructed after adjustment to obtain the reconstructed cycle sequence matrix.

[0073] The sliding beat construction submodule, based on the intersection of the region and period index in the reconstructed beat sequence matrix, combines the thermal execution state sequence to map the distribution of the region's thermal action on the period axis through a sliding window. It also combines the period distribution sequence to establish a traceable record path structure for thermal action, summarizes the sliding index path information of the region, establishes the connection relationship between nodes and the source identification of the region's thermal action, and generates a mold thermal action beat reconstruction map.

[0074] Based on the reconstructed beat sequence matrix, the intersection points of the mold region and the cycle index are accurately identified. For example, the precise state and corresponding timestamps of all thermal actions in region A within cycles 1 to 5 are parsed from the matrix. Based on this, combined with the thermal execution state sequence, the sliding window distribution of the region's thermal actions on the cycle axis is mapped. Specifically, a fixed-length sliding window (e.g., a window step of 5 cycles) and a step interval (e.g., a step of 1 cycle) are set. All thermal action data of region A within cycles 1 to 5 are processed as an initial sliding window. Subsequently, the thermal action data within cycles 2 to 6 are considered as the second sliding window, and so on, achieving dynamic coverage of continuous thermal action data. Through this sliding window mechanism, combined with the cycle distribution sequence, a traceable recording path structure for thermal actions is established, meticulously recording the start time, duration, and associated cycle index and thermal execution state of each thermal action within each window. The sliding index path information of all mold regions is comprehensively summarized to form a comprehensive dataset. Based on this aggregated data, a refined analysis of the connections between nodes is conducted to identify the temporal correlations between different thermal action events (such as heater energization and cooling valve opening), and to clearly identify the sources of thermal actions in each region. Finally, by integrating the correlation information, a comprehensive mold thermal action cycle reconstruction map is generated. This map intuitively displays the temporal sequence, spatial distribution, and interaction relationships of thermal actions in each region of the mold, providing a crucial global view for subsequent adjustment window mapping.

[0075] Please see Figure 4 The window mapping adjustment module includes:

[0076] The hot window positioning submodule reconstructs the hot action sequence in the mold hot action rhythm map, extracts the sliding step index value of the region node on the period axis, segments the period index sequence of each region according to the window step size, identifies the period segment to which the hot action belongs by the period index value, and outputs the period index distribution table within the window.

[0077] Based on the thermal action sequence in the mold thermal action cycle reconstruction diagram, if the heater energizing action of mold region A starts at 10.0 seconds, 10.2 seconds, 10.5 seconds, 10.8 seconds, and 11.1 seconds in cycles 1, 2, 3, 4, and 5 respectively, the cycle index sequence of each region is segmented according to a preset window step size. In this embodiment, the window step size is set to 5 cycles, which means that cycles 1 to 5 will be divided into the first independent cycle segment, cycles 6 to 10 will be divided into the second cycle segment, and so on, ensuring that each cycle segment contains a fixed number of die-casting cycles. By using the cycle index value, the cycle segment to which each thermal action belongs is accurately identified. For example, all thermal actions that occur in region A within cycles 1 to 5 are clearly identified as thermal actions belonging to the first cycle segment. The identification process ensures that thermal actions can be assigned to a specific time window for subsequent analysis. This process generates a cycle index distribution table within the window, as shown in Table 1. This table intuitively shows the types of thermal actions associated with each mold area in different cycle index intervals and their precise start times, providing a structured data foundation for subsequent thermal frequency concentration judgment.

[0078] Table 1: Distribution of Periodic Indexes within a Window

[0079] Mold area Period index interval Associated thermal action type Thermal action start time (sec) Area A Period 1-5 Heater energized 10.0，10.2，10.5，10.8，11.1 Area A Period 1-5 Cooling valve open 20.0，20.3，20.6，20.9，21.2 Area B Period 1-5 Heater energized 15.0，15.1，15.3，15.6，15.9 Area B Period 1-5 Cooling valve open 25.0，25.2，25.5，25.7，26.0

[0080] As shown in Table 1, the period index distribution table within the window clearly displays the thermal action types associated with each mold area within different period index intervals and their precise start times. This table is an important data input for determining thermal frequency concentration.

[0081] The thermal frequency concentration judgment submodule counts the number of thermal disturbance cycles within the window based on the period index distribution table within the window, extracts the distribution of thermal disturbance frequency within the period index interval, calculates and obtains the period segment concentration index, determines whether it exceeds the concentration threshold and performs concentrated period segment judgment, and obtains the concentrated thermal disturbance period segment identifier sequence.

[0082] The periodicity concentration index refers to the concentration of thermal disturbance within each periodic segment obtained through statistical analysis of the frequency of thermal disturbance cycles within a given periodic index interval.

[0083] Based on the period index distribution table within the window, for a window with a period index interval of period 1 to period 5, if periods 2, 3, and 4 have already been identified as thermal disturbance periods, the number of thermal disturbance periods within that window is precisely counted as 3. Subsequently, the distribution of thermal disturbance frequency within the period index interval is extracted, i.e., the frequency of thermal disturbance occurrence within the window of period 1 to period 5 is calculated as 3 periods / 5 total periods = 0.6, or 60%. Based on this, a period segment concentration index is calculated. This period segment concentration index specifically refers to the quantified thermal disturbance concentration within each period segment within a given period index interval through statistical analysis of the thermal disturbance period frequency. In this embodiment, the calculated thermal disturbance frequency of 0.6 is directly used as the concentration index. Then, it is determined whether this concentration index exceeds a preset concentration threshold, and a concentrated period segment is determined accordingly. The concentration threshold was set at 0.5 (i.e., 50%). This threshold was determined through in-depth analysis of a large amount of historical die-casting production data. Studies have shown that when thermal disturbances occur in 50% or higher cycles, it indicates a serious thermal management problem in that cycle segment, requiring it to be listed as a key area for attention and intervention. Since the calculated thermal disturbance frequency of 0.6 is greater than the concentration threshold of 0.5, the cycle segment from cycle 1 to cycle 5 is determined to be a concentrated thermal disturbance cycle segment. This process generates a concentrated thermal disturbance cycle segment identification sequence. For example, marking cycles 1 to 5 as concentrated thermal disturbance cycle segments provides a clear target interval for subsequent locking path construction.

[0084] The locking path construction submodule filters the corresponding periodic index intervals based on the concentrated thermal disturbance periodic segment identifier sequence, extracts the periodic path node sequence in the mold thermal action beat reconstruction map, reads the concentrated periodic segment path mapping information, and generates a thermal adjustment time window mapping path map.

[0085] A periodic path node sequence refers to the set of nodes of a periodic path extracted from the periodic index interval corresponding to a periodic segment.

[0086] Based on the identification sequence of concentrated thermal disturbance cycle segments, for example, if this sequence explicitly indicates that cycles 1 to 5 of mold region A are identified as concentrated thermal disturbance cycle segments, the corresponding cycle index interval is precisely selected, that is, cycles 1 to 5 of mold region A are determined as the focus of attention. From the mold thermal action cycle reconstruction map, the corresponding cycle path node sequence within this cycle index interval is precisely extracted. The cycle path node sequence specifically refers to the set of nodes of the cycle path extracted from the cycle index interval corresponding to the cycle segment. The nodes contain detailed information about thermal actions and their temporal relationships. For example, all nodes of thermal actions such as heater on / off and cooling valve opening / closing in region A within cycles 1 to 5 and their connection relationships in the map are extracted. Next, the mapping information of the concentrated periodic segment path is read, that is, the precise mapping details between the node and the specific, detailed thermal execution actions (such as when the heater is powered on and when it is powered off, when the cooling valve is opened and when it is closed) are obtained, ensuring that each node can be traced back to its corresponding physical action. By integrating and associating the information, a thermal regulation time window mapping path diagram is generated. This diagram not only visualizes the concentrated thermal disturbance periodic segment, but also clearly depicts the path and interrelationship of the thermal actions within it, providing intuitive and accurate guidance for the subsequent regulation strategy formulation.

[0087] Please see Figure 5 The execution channel binding module includes:

[0088] The state amplitude extraction submodule obtains the heating on / off states of the first and second cycles of the adjustment segment in the thermal regulation time window mapping path diagram, and extracts the thermal execution state pairs between consecutive adjustment segments in the same region using the formula:

[0089] ;

[0090] Calculate the characteristic value of the state change amplitude of the adjustment section, and convert it into a logic level change quantity to generate a sequence of state change amplitudes of the adjustment section;

[0091] Where P represents the characteristic value of the magnitude of the change in the state of the control segment, and M represents the number of consecutive control segments participating in the calculation of the characteristic value of the magnitude of the change in the state of the control segment within the same region. This represents the logic level value obtained by uniformly converting the heating on / off state of the i-th adjustment segment in the first cycle within the same region. β represents the logic level value obtained by uniform conversion of the heating on / off state of the i-th regulating segment in the second cycle within the same region, and β represents the dimensionless weighted coefficient of the logic level difference between the first and second cycles of the regulating segment within the same region.

[0092] Obtain the thermal regulation time window mapping path. For a certain regulation segment in region A, its first cycle is cycle 2, and its second cycle is cycle 3. Extract the heater on / off state of cycle 2 as ON (logic level 1) and the heater on / off state of cycle 3 as OFF (logic level 0). Extract the thermal execution state pairs between consecutive regulation segments in the same region, using the formula... Calculate the characteristic value of the change in the state of the control segment, where, The characteristic value representing the magnitude of the change in the state of the control segment. This represents the number of consecutive control segments participating in the calculation of the characteristic value of the state change amplitude of the control segment within the same region. Representing the first in the same area The logic level value obtained by uniformly converting the heating on / off state of each adjustment segment in the first cycle is as follows. Representing the first in the same area The logic level value obtained by uniformly converting the heating on / off state of each adjustment segment in the second cycle is as follows. In this embodiment, the dimensionless weighted coefficient representing the logic level difference between the first and second cycles of the adjustment segment acting within the same region is used. The acquisition process involves reading the heater's on / off state as ON, quantizing it as a logic level 1. The acquisition process involves reading the heater's on / off state as OFF, quantizing it as a logic level of 0, and using a dimensionless weighted coefficient. The coefficient is set to 0.8. This coefficient was determined by observing typical patterns of thermal performance changes within the adjustment section during actual operation of the die-casting mold, combined with expert experience. The setting of 0.8 indicates that 80% of the expected state changes are weighted to highlight the magnitude of state changes exceeding conventional expectations. The number of continuous adjustment sections included in the calculation is also considered. Set to 2, assuming the first adjustment segment ( The first cycle state The value is 1, the second cycle state. The value is 0, the second adjustment segment ( The first cycle state The value is 0, indicating the second cycle state. =1;

[0093] Substitute the parameters into the formula to calculate: ;

[0094] The advantage of the formula lies in the introduction of weighting coefficients. This formula can effectively filter out expected or acceptable state changes, thereby highlighting the magnitude of unexpected or significant state changes, improving the sensitivity to abnormal hot execution behavior within the adjustment segment, and uniformly converting it into logic level changes to generate a sequence of state change magnitudes within the adjustment segment.

[0095] The thermal isolation discrimination submodule determines whether the change amplitude of each group is greater than the multi-region thermal isolation discrimination threshold based on the sequence of change amplitudes of the adjustment segment state. The adjustment segment with the change amplitude greater than the multi-region thermal isolation discrimination threshold is marked as a valid thermal isolation segment. The index positions that meet the conditions are counted to obtain the index set of valid thermal isolation adjustment segments.

[0096] Based on the sequence of state change amplitudes in the regulating section, each group of amplitudes in the sequence was evaluated item by item. The first calculated value in the sequence was P≈0.447. The multi-region thermal isolation discrimination threshold was set to 0.2. This threshold was determined through extensive experimental analysis and data modeling of the thermal coupling effect between multiple regions of the die-casting mold. The study found that when the state change amplitude is less than 0.2, the thermal influence between adjacent regions can be considered negligible; while when the state change amplitude is greater than or equal to 0.2, it indicates that the region is undergoing significant thermal regulation activity, and its thermal behavior shows a certain degree of independence, which can be clearly identified as an effective thermal isolation segment. Through rigorous experimental verification, the threshold of 0.2 can effectively and accurately identify regions with independent regulation characteristics in the thermal management process. Since the calculated value of 0.447 is significantly greater than the threshold of 0.2, this specific adjustment segment is explicitly marked as a thermally isolated effective segment. All index positions that meet the conditions are statistically analyzed and aggregated to obtain a set of thermally isolated effective adjustment segment indexes. This set provides a precise target list for subsequent channel node binding, ensuring that only regions with independent adjustment potential can be included in the concurrent adjustment channel.

[0097] The channel node binding submodule is based on the thermally isolated effective adjustment segment index set. It uses the starting index of each group of adjustment segments that meet the conditions as the input node index number, and associates it with the sliding path ID to which the current adjustment segment belongs. It performs adjustment concurrent channel mapping and synchronously marks it as the locked adjustment input area, and establishes an aluminum alloy die casting concurrent adjustment channel task control table.

[0098] Based on the effective thermal isolation adjustment segment index set, for example, this index set contains index positions 1, 3, and 5, indicating the confirmed effective thermal isolation adjustment segments, i.e., the input node index numbers are assigned as 1, 3, and 5. Simultaneously, an association is established between the input node index and the sliding path ID to which the current adjustment segment belongs. For example, index 1 is associated with sliding path ID_001, index 3 with sliding path ID_002, and index 5 with sliding path ID_003. A concurrent channel mapping operation is performed, mapping independent and effective adjustment segments (represented by their indices 1, 3, and 5) to different concurrent adjustment channels, such as concurrent adjustment channels C1, C2, and C3. During this mapping process, the input area corresponding to the channel is simultaneously marked as a locked adjustment input area, indicating that the area is ready for independent and parallel thermal regulation control. This process establishes a task control table for aluminum alloy die casting concurrent adjustment channels, which records the binding information, locked area, and corresponding sliding path ID of each concurrent channel, providing crucial control basis for achieving refined multi-area parallel thermal management.

[0099] Please see Figure 6 The thermal synchronization correction module includes:

[0100] The action difference monitoring submodule obtains the locking zone index from the task control table of the concurrent adjustment channel of aluminum alloy die casting, extracts the first cycle thermal execution state of the current concurrent adjustment channel input locking zone and the first cycle thermal execution state of the corresponding initial binding cycle, calculates the logical difference between the two sets of thermal execution states in the order of the cycle axis, and obtains the locking zone thermal action difference sequence.

[0101] From the aluminum alloy die-casting concurrent adjustment channel task control table, the locking zone index information is accurately obtained. The locking zone index clearly indicates that the heater on / off locking zone of mold area A covers cycles 2 to 4. The first cycle thermal execution state of the current concurrent adjustment channel input locking zone and the first cycle thermal execution state of the corresponding initial binding cycle are extracted. Specifically, the heater on / off state of the first cycle (cycle 2) within the locking zone is extracted, assumed to be ON, and converted to logic level 1. The heater on / off state of the first cycle of the initial binding cycle (cycle 1) corresponding to this locking zone is extracted, assumed to be ON, and converted to logic level 1. Based on this, the logical difference between these two sets of thermal execution states is accurately calculated along the cycle axis. The logical difference calculation uses the absolute difference of logic levels to quantify. For example, the logical difference between the current state of cycle 2 (ON, logic level 1) and the binding state of cycle 1 (ON, logic level 1) is |1-1|=0. Then, the logical difference between the current state of cycle 3 (OFF, logic level 0) and the binding state of cycle 2 (ON, logic level 1) is calculated as |0-1|=1. By calculating the differences in the states of all corresponding cycles within the locked zone, a detailed sequence of thermal action differences in the locked zone is generated. This sequence clearly reveals the degree of deviation between the thermal actions within the locked zone and the initial binding state, providing direct data input for subsequent synchronization failure judgment.

[0102] The synchronization loss judgment submodule determines whether there are period pairs that exceed the set thermal synchronization tolerance threshold based on the thermal action difference sequence of the locked area. It extracts the adjustment segment index that is greater than the thermal synchronization tolerance threshold from the difference sequence and marks the state as loss of synchronization. For each group of loss of synchronization adjustment segments, it records the path number and backtracking target and generates a list of loss of synchronization path identifiers.

[0103] Based on the thermal action difference sequence in the locked area, it is determined whether the difference values ​​exceed a preset thermal synchronization tolerance threshold. The thermal synchronization tolerance threshold is set at 0.5, which was determined through extensive statistical analysis of the synchronization errors generated during normal operation of aluminum alloy die-casting mold thermal management. In-depth research shows that when the logical difference of the thermal execution state exceeds 0.5, it indicates that the thermal management process has experienced significant synchronization loss, requiring immediate corrective intervention. Through rigorous experimental verification, this 0.5 threshold can effectively distinguish between normal thermal action fluctuations and actual synchronization loss. In the difference sequence 0, 1, 0, difference value 0 is first evaluated, which is less than the threshold of 0.5 and is determined to be synchronized; then difference value 1 is evaluated, which is significantly greater than the threshold of 0.5 and is determined to be out of sync; finally, difference value 0 is evaluated, which is less than the threshold of 0.5 and is determined to be synchronized. The second difference value 1 is identified as exceeding the threshold of 0.5, which clearly indicates the existence of a periodic correspondence exceeding the threshold. The index of the adjustment segment whose value is greater than the thermal synchronization tolerance threshold in the difference sequence is accurately extracted, that is, index position 2 is extracted. The adjustment segment corresponding to this index position is clearly marked as "out of step". For each group of adjustment segments marked as out of step, its associated sliding path number is recorded in detail, such as sliding path ID_001, and its corresponding backtracking target. The backtracking target refers to the original node or initial ideal state of the adjustment segment in the beat reconstruction map, such as the initial heater power-on state of cycle 2. This process generates a list of out-of-step path identifiers, which provides accurate guidance for subsequent state backtracking correction.

[0104] The status backtracking correction submodule sets the status of the associated adjustment path to pause based on the out-of-step path identifier list, backtracks to the original bound adjustment segment, resets the target path to the initial thermal anchoring path, updates the path status information record table within the period according to the periodic index, marks the status field change flag, and establishes a list structure table for the closed-loop fine control of aluminum alloy die casting temperature.

[0105] Based on the list of out-of-step paths, for example, if the list explicitly indicates that the adjustment path associated with sliding path ID_001 has an out-of-step condition at index position 2, its backtracking target is the initial heater energization state of cycle 2. Based on this information, the associated adjustment path state is precisely set to "pause," stopping its current adjustment action to avoid further deviation accumulation. A backtracking operation is performed, tracing the adjustment process back to the original adjustment segment position initially bound to the thermal adjustment time window mapping path diagram. This backtracking operation ensures that the correction action can restart from a known stable state, for example, tracing back to the heater energization start point of cycle 1, redefining the target path, and resetting it as the initial thermal anchoring path, which represents the optimal thermal action sequence of the mold area under ideal die-casting cycle time, for example, based on the stable expectation of the heater energization state of cycle 1. This resetting operation provides a clear and stable reference benchmark for adjustment. Based on the cycle index, the path state information record table within the cycle is fully updated. This update covers the new thermal action sequence and all correction situations, for example, correcting the heater energization state of cycle 2 to be consistent with cycle 1, and recording the corrected timestamp. This process ensures the real-time nature and accuracy of data recording. After updating the status information, a status field change flag is simultaneously marked, clearly indicating that the path status information has been modified. Finally, through refined control and update operations, a detailed control list structure table for the closed-loop temperature of aluminum alloy die casting is established. This table integrates the corrected thermal action status, path information, and change records, providing a comprehensive management framework for achieving precise closed-loop control of the die casting mold temperature.

[0106] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A closed-loop temperature control system for aluminum alloy die-casting process, characterized in that, The system includes: The thermal disturbance identification module acquires the heating and cooling execution signal sequence of the die-casting mold area in a continuous cycle, performs phase offset detection, extracts the trigger time and area coordinates where the offset exceeds the thermal response synchronization tolerance, marks them as the initial anchor point of thermal adjustment, and obtains the thermal disturbance mark set of the die-casting mold. The thermal beat reconstruction module collects the heater on / off state sequence and cooling valve on / off state sequence of the corresponding region based on the mold area number and period index information in the thermal disturbance mark set of the die casting mold, and outputs the mold thermal action beat reconstruction map. The adjustment window mapping module reconstructs the thermal action sequence in the mold thermal action rhythm reconstruction map, maps the heating and cooling time intervals within each cycle, determines the locked thermal adjustment period, and generates a thermal adjustment time window mapping path map. The execution channel binding module obtains the heating on / off status of the first and second cycles of the adjustment segment in the thermal adjustment time window mapping path diagram, identifies the magnitude of status change, and if the change of the continuous adjustment segment exceeds the multi-region thermal isolation discrimination threshold, the associated region index is extracted and an aluminum alloy die casting concurrent adjustment channel task control table is generated.

2. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 1, characterized in that, The die-casting mold thermal disturbance marker set includes thermal disturbance frequency distribution points, execution action start timestamps, and thermal disturbance and position intersection nodes. The mold thermal action beat reconstruction map includes a cycle sequence index chain, disordered thermal action adjustment markers, and beat alignment labels. The thermal adjustment time window mapping path map includes thermal adjustment lock period identifiers, mapping window sequences, and cycle step indexes. The aluminum alloy die-casting concurrent adjustment channel task control table includes concurrent adjustment channel input lock area indexes, adjustment segment state change amplitude records, and multi-region thermal isolation discrimination labels.

3. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 1, characterized in that, The thermal disturbance identification module includes: The action start extraction submodule acquires the heater on / off signal and cooling valve opening / closing signal of the die casting mold area during the continuous die casting cycle. It sorts the thermal execution signals of each group of areas according to the die casting cycle benchmark, groups the thermal execution signal set according to the mold area number, and performs position mapping according to the sorted thermal execution signal sequence and the die casting cycle benchmark to generate the area thermal action start time sequence. The phase offset detection submodule performs time interval calculations sequentially on the thermal action trigger times of adjacent cycles based on the thermal action start time sequence of the region, compares the time interval sequence with the thermal response synchronization tolerance threshold point by point, and marks the time points that exceed the thermal response synchronization tolerance threshold to generate a set of thermal disturbance candidate nodes. The disturbance node verification submodule determines whether the offset of the thermal action trigger time in three consecutive cycles exceeds the thermal response synchronization tolerance threshold based on the thermal disturbance candidate node set. It extracts the execution action start timestamps corresponding to the consecutive offset segments that meet the conditions, and locates the thermal disturbance and position intersection nodes by combining the mold area number and die casting cycle index, and generates a die casting mold thermal disturbance mark set.

4. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 3, characterized in that, The thermal beat reconstruction module includes: The disturbance cycle acquisition submodule obtains the mold area number and cycle index parameter of the die casting mold thermal disturbance mark set, extracts the heater on / off state and cooling valve on / off state of the corresponding area in multiple consecutive die casting cycles according to each group of area numbers, arranges the extracted thermal execution states in cycle order, and generates a set of regional thermal action state sequences by changing the thermal execution state structure grouped by region in continuous cycles. The beat alignment submodule calculates the thermal action triggering time interval during consecutive cycles in the region based on the regional thermal action state sequence set, determines whether the time interval between adjacent cycles meets the beat spacing consistency benchmark value, rearranges the beat order of the original thermal action sequence, and reconstructs the cycle index relationship of all regional thermal action data after adjustment to obtain the reconstructed beat sequence matrix. The sliding beat construction submodule, based on the intersection of the region and period index in the reconstructed beat sequence matrix, maps the distribution of the region's thermal action on the period axis using the thermal execution state sequence, establishes a traceable record path structure for the thermal action using the period distribution sequence, summarizes the sliding index path information of the region, establishes the connection relationship between nodes and the source identification of the region's thermal action, and generates a mold thermal action beat reconstruction map.

5. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 4, characterized in that, The adjustment window mapping module includes: The hot window positioning submodule reconstructs the hot action sequence in the hot action rhythm map of the mold, extracts the sliding step index value of the regional node on the period axis, segments the period index sequence of each region according to the window step size, identifies the period segment to which the hot action belongs by the period index value, and outputs the period index distribution table in the window. The thermal frequency concentration judgment submodule counts the number of thermal disturbance cycles within the window according to the period index distribution table within the window, extracts the distribution of thermal disturbance frequency within the period index interval, calculates and obtains the period segment concentration index, determines whether it exceeds the concentration threshold and performs concentrated period segment judgment, and obtains the concentrated thermal disturbance period segment identifier sequence. The locking path construction submodule filters the corresponding periodic index intervals based on the concentrated thermal disturbance periodic segment identifier sequence, extracts the periodic path node sequence in the mold thermal action beat reconstruction map, reads the concentrated periodic segment path mapping information, and generates a thermal adjustment time window mapping path map.

6. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 5, characterized in that, The periodicity concentration index refers to the concentration of thermal disturbance within each periodic segment obtained through statistical analysis of the frequency of thermal disturbance cycles within a given periodic index interval. The periodic path node sequence refers to the set of nodes of the periodic path extracted from the periodic index interval corresponding to the periodic segment.

7. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 5, characterized in that, The execution channel binding module includes: The state amplitude extraction submodule obtains the heating on / off states of the first and second cycles of the adjustment segment in the thermal regulation time window mapping path diagram, and extracts the thermal execution state pairs between consecutive adjustment segments in the same region using the formula: ； Calculate the characteristic value of the state change amplitude of the adjustment section, and convert it into a logic level change quantity to generate a sequence of state change amplitudes of the adjustment section; Where P represents the characteristic value of the magnitude of the change in the state of the control segment, and M represents the number of consecutive control segments participating in the calculation of the characteristic value of the magnitude of the change in the state of the control segment within the same region. This represents the logic level value obtained by uniformly converting the heating on / off state of the i-th adjustment segment in the first cycle within the same region. β represents the logic level value obtained by uniform conversion of the heating on / off state of the i-th regulating segment in the second cycle within the same region, and β represents the dimensionless weighted coefficient of the logic level difference between the first and second cycles of the regulating segment within the same region. The thermal isolation discrimination submodule determines whether the change amplitude of each group is greater than the multi-region thermal isolation discrimination threshold according to the sequence of change amplitudes of the adjustment segment state. The adjustment segment with the change amplitude greater than the multi-region thermal isolation discrimination threshold is marked as a valid thermal isolation segment. The index positions that meet the conditions are counted to obtain the index set of valid thermal isolation adjustment segments. The channel node binding submodule, based on the thermally isolated effective adjustment segment index set, uses the starting index of each group of adjustment segments that meet the conditions as the input node index number, and associates it with the sliding path ID to which the current adjustment segment belongs, to perform adjustment concurrent channel mapping and synchronously mark it as the locked adjustment input area, and establishes an aluminum alloy die-casting concurrent adjustment channel task control table.

8. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 1, characterized in that, The system also includes a thermal synchronization correction module: The thermal synchronization correction module extracts the real-time thermal action difference sequence of the input locking area of ​​the concurrent adjustment channel based on the aluminum alloy die casting concurrent adjustment channel task control table. If it exceeds the thermal synchronization tolerance threshold, it triggers the adjustment state pause command, restarts the initial thermal anchoring path, and generates a fine control list for the closed loop of aluminum alloy die casting temperature. The aluminum alloy die-casting temperature closed-loop fine control list includes adjustment status update records, initial thermal anchoring path index, and thermal synchronization tolerance judgment label.

9. The closed-loop temperature control system for the aluminum alloy die-casting process according to claim 8, characterized in that, The thermal synchronization correction module includes: The action difference monitoring submodule obtains the locking zone index in the task control table of the concurrent adjustment channel of the aluminum alloy die casting, extracts the first cycle thermal execution state of the current concurrent adjustment channel input locking zone and the first cycle thermal execution state of the corresponding initial binding cycle, calculates the logical difference between the two sets of thermal execution states in the order of the cycle axis, and obtains the locking zone thermal action difference sequence. The synchronization loss judgment submodule determines whether there are period pairs that exceed the set thermal synchronization tolerance threshold based on the thermal action difference sequence of the locked area, extracts the adjustment segment index that is greater than the thermal synchronization tolerance threshold in the difference sequence, and marks the state as loss of synchronization. For each group of loss of synchronization adjustment segments, the path number and backtracking target are recorded, and a loss of synchronization path identifier list is generated. The status backtracking correction submodule sets the status of the associated adjustment path to pause based on the out-of-step path identifier list, backtracks to the original bound adjustment segment, resets the target path to the initial thermal anchoring path, updates the path status information record table within the period according to the periodic index, marks the status field change flag, and establishes a list structure table for the closed-loop fine control of aluminum alloy die casting temperature.

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