Temperature control method and system for aluminum profile extrusion production

Abstract

The invention discloses a temperature control method and system for aluminum profile extrusion production, and relates to the technical field related to production temperature control, and the method comprises the steps: obtaining a real-time temperature value through the dynamic monitoring of a distributed temperature detector; whether the real-time temperature difference value meets a preset temperature difference threshold value or not is judged; if yes, real-time temperature monitoring is conducted on the cross section of the target aluminum profile; evaluating and analyzing the real-time temperature distribution diagram; when the real-time temperature distribution index does not meet the preset index threshold value, a first early warning instruction is sent out; and reading a temperature control plan based on the first early warning instruction, and carrying out extrusion production temperature regulation and control on the target aluminum profile. The technical problems that in the prior art, the temperature gradient of a complex section cannot be captured through single-point temperature measurement, the hysteresis quality of dynamic temperature regulation is remarkable, and consequently the temperature regulation precision, the size precision and the surface quality of aluminum profile extrusion forming are poor are solved, and the technical effect of improving the production temperature regulation precision, the product precision and the surface quality is achieved.

Description

Technical Field

[0001] This application relates to the technical field of production temperature control, and specifically relates to a temperature control method and system for aluminum profile extrusion production. Background Art

[0002] Aluminum profile extrusion forming refers to plastically deforming an aluminum alloy blank into a specific cross-sectional shape through high temperature and high pressure, and is widely used in fields such as construction, transportation, aerospace, etc. During the extrusion production process, temperature is a core parameter affecting material fluidity, die life, and finished product quality. Excessive temperature may lead to coarsening of the material structure and a decline in mechanical properties; while insufficient temperature will increase the extrusion force, causing die wear or surface defects of the profile. Traditional temperature control for aluminum profile extrusion mostly relies on single-point temperature measurement (such as a single-point temperature sensor at the die inlet or outlet) combined with empirical thresholds for adjustment. However, due to the complexity of the die structure, uneven material flow, and differences in cooling rates during the extrusion of aluminum profiles, there are often significant temperature gradients in different regions of the cross-section (such as the middle of the straight edge and the arc end). This uneven temperature distribution easily leads to problems such as the accumulation of residual stress inside the profile, dimensional accuracy deviation, and even cracking. Moreover, the existing methods lack a dynamic monitoring and feedback mechanism, making it difficult to capture transient temperature fluctuations in real time, resulting in a lag in regulation. Especially when dealing with the production of high-precision or complex cross-section profiles, there are obvious limitations, thus affecting product accuracy and quality.

[0003] Therefore, in the current related technologies, there are technical problems that single-point temperature measurement cannot capture the temperature gradient of complex cross-sections, and the lag in temperature dynamic regulation is significant, resulting in poor temperature regulation accuracy, dimensional accuracy, and surface quality of aluminum profile extrusion forming. Summary of the Invention

[0004] This application provides a temperature control method and system for aluminum profile extrusion production, solving the technical problems in the existing technology that single-point temperature measurement cannot capture the temperature gradient of complex cross-sections, and the lag in temperature dynamic regulation is significant, resulting in poor temperature regulation accuracy, dimensional accuracy, and surface quality of aluminum profile extrusion forming, and achieving the technical effect of improving the accuracy of production temperature regulation, product accuracy, and surface quality.

[0005] The present application provides a temperature control method for aluminum profile extrusion production. The method includes: dynamically monitoring to obtain real-time temperature values through a distributed temperature detector, where the distributed temperature detector is arranged at the outlet position of a target extrusion die of a target aluminum profile; determining whether a real-time temperature difference conforms to a predetermined temperature difference threshold, where the real-time temperature difference refers to the difference between the real-time middle temperature of the straight edge and the real-time arc end temperature in the real-time temperature values; if it conforms, activating an infrared thermometer to perform real-time temperature monitoring on the cross-section of the target aluminum profile and forming a real-time temperature distribution map; introducing a temperature distribution evaluation mechanism to evaluate and analyze the real-time temperature distribution map to obtain a real-time temperature distribution index; when the real-time temperature distribution index does not meet a predetermined index threshold, issuing a first warning instruction; based on the first warning instruction, reading a temperature control plan and regulating the extrusion production temperature of the target aluminum profile according to the temperature control plan.

[0006] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: if it does not conform, issuing a second warning instruction and regulating the extrusion production temperature of the target aluminum profile by retrieving the temperature control plan based on the second warning instruction.

[0007] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: extracting an extrusion speed control plan from the temperature control plan; based on the material characteristics of the target aluminum profile, the die design of the target extrusion die, and the equipment capabilities of the target extrusion equipment, establishing an extrusion speed control constraint; setting an extrusion speed threshold based on the extrusion speed control constraint; randomly extracting any extrusion speed from the extrusion speed threshold according to the extrusion speed control plan; analyzing the extrusion production simulation record at the any extrusion speed to obtain a first arbitrary simulation temperature distribution index; aiming at maximizing the first arbitrary simulation temperature distribution index, obtaining an optimal extrusion speed; regulating the extrusion production temperature of the target aluminum profile based on the optimal extrusion speed.

[0008] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: randomly sampling the real-time temperature distribution map according to the temperature distribution evaluation mechanism to obtain a set of sampling nodes; extracting a first node from the set of sampling nodes, and the first node corresponds to a first coordinate and a first temperature value; obtaining a first neighborhood of the first node based on the first coordinate and verifying the first temperature value with the first neighborhood temperature value of the first neighborhood to obtain a first verification temperature value; reading a predetermined cross-section temperature and combining the first verification temperature value to obtain the real-time temperature distribution index.

[0009] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: rasterize the real-time temperature distribution map to obtain a raster set, and match the first raster corresponding to the first node in the raster set in combination with the first coordinate; form a first adjacent raster set of the first raster, and denote the first adjacent raster set as the first neighborhood of the first node.

[0010] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: perform sampling aggregation processing on the temperature values in the first adjacent rasters to obtain a first fusion temperature value, where the first adjacent rasters refer to any raster in the first adjacent raster set; take the mean value of the first fusion temperature values as the first neighborhood temperature value.

[0011] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: extract a second node from the sampling node set, and obtain a second verification temperature value of the second node; determine a mean temperature gradient according to the temperature deviation obtained by comparing the first verification temperature value with the second verification temperature value; compare the first verification temperature value and the second verification temperature value with the predetermined cross-sectional temperature in sequence to obtain a first temperature deviation and a second temperature deviation respectively; determine a mean temperature deviation according to the first temperature deviation and the second temperature deviation; obtain the real-time temperature distribution index based on the temperature standard deviation calculated from the first verification temperature value and the second verification temperature value, in combination with the mean temperature gradient and the mean temperature deviation.

[0012] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: extract the production temperature control plan in the temperature control plan, where the production temperature control plan stores a die temperature threshold, an aluminum rod temperature threshold, and a container temperature threshold; construct an optimization space based on the die temperature threshold, the aluminum rod temperature threshold, and the container temperature threshold; perform global simulation optimization in the optimization space to obtain an optimal production temperature plan, and perform extrusion production temperature regulation on the target aluminum profile according to the optimal production temperature plan.

[0013] In a possible implementation manner, the temperature control method for aluminum profile extrusion production further performs the following processing: randomly obtain any production temperature plan in the optimization space; analyze the extrusion production simulation record under the any production temperature plan to obtain a second arbitrary simulation temperature distribution index; take the maximum of the second arbitrary simulation temperature distribution index as the target to obtain the optimal production temperature plan.

[0014] The present application also provides a temperature control system for aluminum profile extrusion production, including: a real-time temperature value monitoring module for dynamically monitoring the real-time temperature value through a distributed temperature detector, wherein the distributed temperature detector is arranged at the outlet position of the target extrusion die of the target aluminum profile; a temperature difference judgment module for judging whether the real-time temperature difference conforms to a predetermined temperature difference threshold, wherein the real-time temperature difference refers to the difference between the real-time middle temperature of the straight edge and the real-time temperature of the arc end in the real-time temperature value; a real-time temperature distribution map generation module for, if it conforms, activating an infrared thermometer to perform real-time temperature monitoring on the cross-section of the target aluminum profile and forming a real-time temperature distribution map; a real-time temperature distribution index obtaining module for introducing a temperature distribution evaluation mechanism to evaluate and analyze the real-time temperature distribution map to obtain a real-time temperature distribution index; a first warning instruction issuing module for issuing a first warning instruction when the real-time temperature distribution index does not meet the predetermined index threshold; and an extrusion production temperature regulation module for reading a temperature control plan based on the first warning instruction and regulating the extrusion production temperature of the target aluminum profile according to the temperature control plan.

[0015] It is intended to solve the technical problems in the prior art that single-point temperature measurement cannot capture the temperature gradient of complex cross-sections and the temperature dynamic regulation has significant hysteresis, resulting in poor temperature regulation accuracy, dimensional accuracy and surface quality of aluminum profile extrusion forming, and achieve the technical effect of improving the production temperature regulation accuracy, product accuracy and surface quality through the temperature control method and system for aluminum profile extrusion production proposed in the present application, dynamically monitoring the real-time temperature value through a distributed temperature detector; judging whether the real-time temperature difference conforms to a predetermined temperature difference threshold; if it conforms, performing real-time temperature monitoring on the cross-section of the target aluminum profile; evaluating and analyzing the real-time temperature distribution map; issuing a first warning instruction when the real-time temperature distribution index does not meet the predetermined index threshold; and reading a temperature control plan based on the first warning instruction and regulating the extrusion production temperature of the target aluminum profile. Brief Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the operations in the front or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the need, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0017] Figure 1 It is a schematic flowchart of the temperature control method for aluminum profile extrusion production provided by the embodiment of the present application.

[0018] Figure 2Schematic structural diagram of the temperature control system for aluminum profile extrusion production provided by the embodiments of the present application.

[0019] Explanation of reference numerals in the drawings: real-time temperature value monitoring module 10, temperature difference judgment module 20, real-time temperature distribution map generation module 30, real-time temperature distribution index acquisition module 40, first warning instruction issuing module 50, extrusion production temperature regulation module 60. Detailed implementation manners

[0020] The above description is only an overview of the technical solution of the present application. In order to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0022] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first / second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0023] The embodiments of the present application provide a temperature control method for aluminum profile extrusion production, as Figure 1 shown, the method includes: Step S100, dynamically monitor the real-time temperature value through a distributed temperature sensor, wherein the distributed temperature sensor is arranged at the outlet position of the target extrusion die of the target aluminum profile.

[0024] Preferably, a distributed temperature detector is used to dynamically monitor and obtain real-time temperature values. That is, through multi-point distribution, temperature data at different positions (such as straight edges and arc ends) are collected in real time, and local temperature differences caused by material flow differences and uneven mold heat dissipation are accurately identified. Among them, distributed temperature measurement usually refers to using multiple sensors distributed at different positions to obtain comprehensive temperature data, which may include multiple thermocouples or infrared sensors. Specifically, the distributed temperature detector is arranged at the outlet position of the target extrusion mold of the target aluminum profile, that is, arranged in different areas at the mold outlet, covering the key points of the entire profile cross-section. Among them, the mold outlet position refers to the area where the aluminum profile is extruded from the mold cavity and preliminarily shaped after extrusion. This is a key transition section where the aluminum material breaks away from the mold constraint and begins to cool, and its temperature distribution directly affects the dimensional stability, surface quality, and internal tissue uniformity of the profile. The distributed temperature detector (such as a multi-point thermocouple, fiber optic temperature measurement array, or micro infrared sensor) is embedded or fixed at specific positions at the mold outlet end in a grid or partitioned form, covering the key areas of the profile cross-section (such as the middle of the straight edge, arc end, connection transition area, etc.), ensuring synchronous temperature monitoring of each area of the complex cross-section. For example, due to the large curvature and high material flow resistance at the arc end, heat accumulation is likely to occur, while the temperature at the middle of the straight edge may drop suddenly due to rapid cooling.

[0025] Step S200, determine whether the real-time temperature difference meets a predetermined temperature difference threshold. Among them, the real-time temperature difference refers to the difference between the real-time temperature at the middle of the straight edge and the real-time temperature at the arc end in the real-time temperature values.

[0026] Preferably, the real-time temperature difference refers to the instantaneous difference between the temperature at the middle of the straight edge and the temperature at the arc end synchronously collected by the distributed temperature detector at the mold outlet position. Among them, the middle of the straight edge is the central area of the straight line segment in the aluminum profile cross-section. Usually, due to uniform material flow and stable heat dissipation conditions, the temperature change is relatively gentle. The arc end refers to the curved or rounded area in the profile cross-section. Due to the large material flow resistance and easy heat accumulation, the temperature may be significantly higher than that in the straight edge area. The predetermined temperature difference threshold refers to the maximum allowable temperature difference range preset according to the material characteristics of the aluminum profile (such as alloy grade), mold design parameters (such as cross-section complexity), and process requirements (such as cooling rate), which is used to determine the rationality of the temperature distribution. Then, it is judged whether the real-time temperature difference meets the predetermined temperature difference threshold. If the temperature difference is within a reasonable range, the temperature distribution is considered uniform and no intervention is required. If the temperature difference exceeds the standard, problems such as profile deformation and residual stress may be triggered, and the warning and regulation process will be triggered.

[0027] Step S300, if it meets the requirement, activate the infrared thermometer to perform real-time temperature monitoring on the cross-section of the target aluminum profile and form a real-time temperature distribution map.

[0028] Preferably, when the distributed temperature detector detects that the real-time temperature difference between the middle of the straight edge and the arc end meets the preset threshold (i.e., the temperature difference is within the allowable range), it indicates that the local temperature distribution is initially controllable. Then, the temperature uniformity of the entire cross-section is further verified. Specifically, according to the temperature difference judgment result, a non-contact global temperature scan of the entire cross-section of the extruded aluminum profile (including the straight edge, arc end, transition zone, etc.) is performed by an infrared thermometer (such as a thermal imager or an infrared scanner), to make up for the limitation that the distributed temperature detector only monitors local key points. Among them, the infrared thermometer dynamically adjusts the temperature measurement parameters according to the material of the aluminum profile (emissivity) and the surface state (oxide layer, roughness) to ensure data accuracy; then the real-time temperature monitored by the infrared thermometer and the real-time temperature monitored by the distributed temperature detector are fused to generate a high-resolution real-time temperature distribution map, visually showing the spatial differences in the temperature field, eliminating the errors of a single technology (such as infrared being interfered by the surface oxide layer), providing a data basis for subsequent temperature distribution index calculation and control strategies, and promoting the development of aluminum profile extrusion production towards intelligence and refinement.

[0029] Step S400: Introduce a temperature distribution evaluation mechanism to evaluate and analyze the real-time temperature distribution map to obtain a real-time temperature distribution index.

[0030] Preferably, the temperature distribution evaluation mechanism quantifies and analyzes the real-time temperature distribution map generated by the infrared thermometer, converts the complex temperature field data into quantifiable evaluation indicators (i.e., temperature distribution index), and is used to quickly judge the temperature uniformity and determine the area that needs to be intervened preferentially. Specifically, data preprocessing is performed on the temperature data in the real-time temperature distribution map, including noise filtering to eliminate abnormal data points caused by surface oxidation, environmental radiation, or equipment noise in infrared temperature measurement; data normalization, standardizing the temperature values according to the material of the profile (such as the solidus temperature of aluminum alloy) or the process target (such as the target cooling rate) to facilitate cross-batch and cross-model comparison; then through the temperature distribution evaluation mechanism, the real-time temperature distribution map is evaluated and analyzed from multiple dimensions, which may include global uniformity, calculating the standard deviation (σ) or range (the difference between the highest temperature and the lowest temperature) of the cross-section temperature; local hot spots / cold spots, identifying areas that exceed the allowable deviation threshold; gradient directionality, analyzing whether the temperature change trend meets the expectation (such as decreasing uniformly from the die outlet to the edge); symmetry (for symmetric cross-sections), comparing the temperature distribution differences between the left / right or upper / lower half regions; and then based on a machine learning model, using historical production data (temperature distribution map and corresponding profile quality) to train an index prediction model, and then output a real-time temperature distribution index (such as 0 - 1, the higher the value, the worse the temperature distribution), reflecting the temperature uniformity, gradient directionality, and local anomalies of the current aluminum profile cross-section, thereby significantly improving the quality control ability and efficiency of aluminum profile extrusion production.

[0031] Step S500: When the real-time temperature distribution index does not meet the predetermined index threshold, issue a first warning instruction.

[0032] Preferably, the predetermined index threshold refers to the allowable range preset according to process requirements, profile types (such as building profiles, automotive profiles), and quality control standards. If the real-time temperature distribution index does not meet the predetermined index threshold, the first warning instruction is automatically triggered. Specifically, the first warning instruction usually includes the warning level, such as mild, moderate, severe; abnormal area positioning, combined with the temperature distribution map, marking the high-temperature area, low-temperature area, or gradient abnormal area (such as overheating at the arc end, overcooling in the middle of the straight edge); the reason for the abnormality, such as too fast extrusion speed, insufficient cooling water flow, uneven die heating; possible adjustment measures, such as reducing the extrusion speed, adjusting the angle of the cooling air nozzle, starting die heating compensation; it can detect temperature abnormalities in advance before obvious quality problems (such as warping, cracking) occur in the profile, and can trace back process parameters (such as extrusion cylinder temperature, cooling intensity) through warning information, optimize production conditions, and avoid the production of a large number of unqualified products due to temperature out of control.

[0033] Step S600: Based on the first warning instruction, read the temperature control plan, and regulate the extrusion production temperature of the target aluminum profile according to the temperature control plan.

[0034] Preferably, read the temperature control plan according to the first warning instruction. Among them, the temperature control plan is a set of multiple response measures and temperature regulation strategies preset for various possible temperature abnormal situations. It may include adjusting the working state of the heating / cooling device, such as increasing or decreasing the heating power, adjusting the flow rate of the cooling water, etc.; it may also include changing the extrusion speed to adjust the heat generation and heat dissipation rate of the aluminum profile during extrusion; it may also include adjusting the die temperature or the temperature of the billet container, etc.; then regulate the extrusion production temperature of the target aluminum profile according to the regulation strategy in the temperature control plan to ensure that the temperature distribution of the aluminum profile during extrusion is uniform and stable, and there is no lag in temperature control, thereby improving product accuracy and surface quality.

[0035] Furthermore, step S200 further includes step S210. If it does not meet the requirements, issue a second warning instruction, and based on the second warning instruction, retrieve the temperature control plan to regulate the extrusion production temperature of the target aluminum profile.

[0036] Preferably, if the real-time temperature difference does not meet the predetermined temperature difference threshold (i.e., the temperature difference is too large or too small), a second warning instruction is automatically issued, indicating that the temperature distribution during the aluminum profile extrusion process has exceeded the acceptable range, and immediate measures need to be taken for intervention. Then, the temperature control plan is retrieved to regulate the extrusion production temperature of the target aluminum profile, that is, the temperature conditions during the extrusion production process are quickly adjusted, which may include adjusting the set values of the heating or cooling systems, changing the extrusion speed to affect heat generation and dissipation, or adjusting the temperatures of key components such as the die and the billet container to restore or optimize the temperature distribution of the aluminum profile and ensure product accuracy and quality.

[0037] Further, step S210 further includes step S211 of extracting the extrusion speed control plan from the temperature control plan; step S212 of forming an extrusion speed control constraint based on the material properties of the target aluminum profile, the die design of the target extrusion die, and the equipment capabilities of the target extrusion equipment; step S213 of setting an extrusion speed threshold based on the extrusion speed control constraint; step S214 of randomly extracting any extrusion speed from the extrusion speed threshold according to the extrusion speed control plan; step S215 of analyzing the extrusion production simulation record at the any extrusion speed to obtain the first arbitrary simulation temperature distribution index; step S216 of obtaining the optimal extrusion speed with the maximum first arbitrary simulation temperature distribution index as the target; and step S217 of regulating the extrusion production temperature of the target aluminum profile based on the optimal extrusion speed.

[0038] Preferably, extracting the extrusion speed control plan for the target aluminum profile from the temperature control plan may include, under different temperature distribution conditions, the recommended extrusion speed range. Combining the material properties of the target aluminum profile (such as melting point, thermal conductivity, coefficient of thermal expansion, etc.), the die design of the target extrusion die (such as die size, shape, runner design, etc.), and the equipment capabilities of the target extrusion equipment (such as maximum extrusion force, extrusion speed range, etc.), an extrusion speed control constraint is formed to ensure the safety and efficiency of the extrusion process while optimizing the temperature distribution; setting an extrusion speed threshold (extrusion speed range) according to the extrusion speed control constraint can not only meet the production requirements but also ensure uniform temperature distribution of the aluminum profile during extrusion.

[0039] Preferably, a squeezing speed is randomly selected from the set squeezing speeds according to the squeezing speed control scheme for simulation analysis, that is, through the squeezing production simulation software, the squeezing process of the aluminum profile at these squeezing speeds is simulated, and the temperature distribution data during the simulation is recorded; then, using the temperature distribution evaluation mechanism, the temperature distribution data recorded in the simulation is evaluated and analyzed to calculate the simulation temperature distribution index at each squeezing speed, and then the first arbitrary simulation temperature distribution index is obtained, which reflects the uniformity and rationality of the temperature distribution of the aluminum profile at this squeezing speed; then, with the goal of maximizing the first arbitrary simulation temperature distribution index, the optimal squeezing speed is selected from all the simulated squeezing speeds, which can optimize the temperature distribution of the aluminum profile to the greatest extent while ensuring the production efficiency. Finally, according to the determined optimal squeezing speed, actual temperature control is carried out on the squeezing production of the target aluminum profile, which may include adjusting the working state of the heating / cooling system to ensure that at the optimal squeezing speed, the temperature distribution of the aluminum profile meets the production requirements, thereby improving the product precision and quality.

[0040] Further, step S400 further includes step S410 of randomly sampling the temperature of the real-time temperature distribution map according to the temperature distribution evaluation mechanism to obtain a set of sampling nodes; step S420 of extracting the first node from the set of sampling nodes, and the first node corresponding to the first coordinate and the first temperature value; step S430 of obtaining the first neighborhood of the first node based on the first coordinate, and using the first neighborhood temperature value of the first neighborhood to verify the first temperature value to obtain the first verification temperature value; step S440 of reading the predetermined cross-sectional temperature and combining the first verification temperature value to obtain the real-time temperature distribution index.

[0041] Preferably, a plurality of temperature sampling points are randomly selected from the real-time temperature distribution map by using the temperature distribution evaluation mechanism to form a set of sampling nodes, and then a starting point (i.e., the first node) is randomly extracted from the set of sampling points. Among them, the first node has a coordinate (the first coordinate) and a temperature value (the first temperature value). Then, with the coordinate of the first node as the center, a neighborhood range (the first neighborhood) is defined, and the temperature value (the first neighborhood temperature value) within this neighborhood is used to verify the temperature value (the first temperature value) of the first node. For example, calculate the average value, median value, etc. of the first neighborhood temperature and use it as the first verification temperature value. Finally, read the predetermined cross-sectional temperature, where the predetermined cross-sectional temperature is a reference temperature value used for comparison or combination with the first verification temperature value, that is, combine the first verification temperature value and the predetermined cross-sectional temperature to quantify certain characteristics (such as uniformity, deviation degree, etc.) of the real-time temperature distribution map to obtain the real-time temperature distribution index, which may represent the degree of uniformity of the temperature distribution, the presence or absence of temperature abnormal areas, or the deviation degree of the temperature distribution from the expected or ideal distribution, etc.

[0042] Further, step S400 further includes step S450 of rasterizing the real-time temperature distribution map to obtain a raster set, and matching the first raster corresponding to the first node in the raster set in combination with the first coordinate; step S460 of forming a first adjacent raster set of the first raster and denoting the first adjacent raster set as the first neighborhood of the first node.

[0043] Preferably, rasterizing the real-time temperature distribution map means dividing the continuous real-time temperature distribution map into multiple small, discrete rasters (or called pixels, cells, etc.), and each raster has a specific position (coordinate) and a corresponding temperature value, that is, converting the real-time temperature distribution map into a raster set, where each raster contains position information and temperature information, and then matching the first raster corresponding to the first node from the raster set according to the first coordinate. Specifically, by comparing the coordinates of the first node and the coordinates of each raster in the raster set, the matching first raster is found; then all the rasters adjacent to the first raster in space are formed into a first adjacent raster set. Among them, these adjacent rasters may be the rasters above, below, left, and right (in the two-dimensional case) or around (in the three-dimensional case) the first raster, and then the first adjacent raster set is denoted as the first neighborhood of the first node.

[0044] Further, step S430 further includes step S431 of sampling and aggregating the temperature values in the first adjacent raster to obtain a first fusion temperature value, where the first adjacent raster refers to any raster in the first adjacent raster set; step S432 of taking the mean value of the first fusion temperature value as the first neighborhood temperature value.

[0045] Preferably, sampling and aggregating the temperature values in the first adjacent raster means performing data aggregation processing on the temperature values in the adjacent rasters to eliminate noise, smooth outliers, and extract more representative temperature information. For example, calculating the average value of multiple temperature values, and then assigning different weights according to the distance between the raster and the target raster, the closer the distance, the higher the weight, and then performing weighted calculation to obtain the first fusion temperature value, representing the comprehensive temperature characteristics of the target raster and its neighborhood. Among them, the first adjacent raster refers to any raster in the first adjacent raster set; similarly, calculating the fusion temperature values of all the rasters in the first adjacent raster set, and finally calculating the average value of multiple fusion temperature values as the first neighborhood temperature value to further smooth the data and improve the continuity of the temperature distribution. By fusing the temperature value and the neighborhood temperature value, the local temperature trend can be more accurately reflected.

[0046] Further, step S430 further includes step S433 of extracting a second node from the sampling node set and obtaining a second calibrated temperature value of the second node; step S434 of determining an average temperature gradient according to the temperature deviation obtained by comparing the first calibrated temperature value with the second calibrated temperature value; step S435 of comparing the first calibrated temperature value and the second calibrated temperature value with the predetermined cross-sectional temperature in sequence to obtain a first temperature deviation and a second temperature deviation respectively; step S436 of determining an average temperature deviation according to the first temperature deviation and the second temperature deviation; step S437 of obtaining the real-time temperature distribution index based on the temperature standard deviation calculated from the first calibrated temperature value and the second calibrated temperature value, and in combination with the average temperature gradient and the average temperature deviation.

[0047] Preferably, a node is randomly extracted from the sampling node set as the second node, and the corresponding second calibrated temperature value of the second node is obtained. Then, the first calibrated temperature value is compared with the second calibrated temperature value, and their temperature deviation is calculated. The rate of change of temperature with spatial position is approximately estimated according to the temperature deviation, and then the average temperature gradient is determined. Then, the first calibrated temperature value is compared with the predetermined cross-sectional temperature to obtain a first temperature deviation, and the second calibrated temperature value is compared with the predetermined cross-sectional temperature to obtain a second temperature deviation. The average temperature deviation is calculated according to the first temperature deviation and the second temperature deviation (and possibly other temperature deviations if there are multiple pairs of calibrated temperature values), which reflects the degree of deviation of the overall temperature distribution from the predetermined cross-sectional temperature. Then, based on the first calibrated temperature value and the second calibrated temperature value (and possibly more data points), the standard deviation of the temperature is calculated, which reflects the dispersion degree of the temperature distribution. Finally, the real-time temperature distribution index is calculated by combining the average temperature gradient, the average temperature deviation and the temperature standard deviation to evaluate the current temperature distribution situation.

[0048] Further, step S600 further includes step S610 of extracting the production temperature control scheme in the temperature control plan, where the production temperature control scheme stores a die temperature threshold, an aluminum bar temperature threshold and a container temperature threshold; step S620 of constructing an optimization space based on the die temperature threshold, the aluminum bar temperature threshold and the container temperature threshold; step S630 of performing global simulation optimization in the optimization space to obtain an optimal production temperature scheme, and regulating the extrusion production temperature of the target aluminum profile according to the optimal production temperature scheme.

[0049] Preferably, a production temperature control plan is extracted from the temperature control plan, which usually includes multiple temperature thresholds and is used to guide the temperature control in the aluminum profile extrusion production process. Among them, the production temperature control plan stores the die temperature threshold, the billet temperature threshold, and the extrusion cylinder temperature threshold. Specifically, the die is a tool used to form aluminum profiles during the extrusion process. The temperature of the die has an important impact on the extrusion process and the quality of the final product. The die temperature threshold defines the temperature range that the die should maintain during operation, which is usually determined according to the material of the aluminum profile, the extrusion speed, the die material, and other process parameters; the billet is the raw material for the extrusion process. Before extrusion, the billet needs to be heated to a certain temperature to improve its plasticity and reduce the force required for extrusion. The billet temperature threshold defines the temperature range that the billet should reach before extrusion, which depends on the alloy type of the aluminum profile, the capacity of the extruder, and the required product characteristics; the extrusion cylinder is a component that houses the heated billet and pushes it into the die. The temperature of the extrusion cylinder also affects the extrusion process and product quality. The extrusion cylinder temperature threshold defines the temperature range that the extrusion cylinder should maintain during operation, which is usually to ensure that the billet can flow smoothly during extrusion and avoid quality problems caused by overheating or overcooling.

[0050] Preferably, based on the die temperature threshold, the billet temperature threshold, and the extrusion cylinder temperature threshold, a multi-dimensional optimization space is constructed, that is, each dimension represents a temperature variable (die temperature, billet temperature, extrusion cylinder temperature, etc.), and the value range is determined by the corresponding temperature threshold; then in the constructed optimization space, global simulation optimization is used, that is, through computer simulation, different temperature combinations are evaluated, and then the optimal temperature plan is found. Specifically, the temperature combination covers all possible value ranges of the die temperature, the billet temperature, and the extrusion cylinder temperature. The simulation process also considers various production conditions, material characteristics, and process requirements, simulating factors such as temperature changes, material flow, and stress distribution during the extrusion process. By comparing the simulation results under different temperature combinations, such as production efficiency, energy consumption, product quality (such as dimensional accuracy, surface quality, internal defects, etc.) and other indicators, the advantages and disadvantages of each plan are evaluated, and the temperature combination that performs best in these indicators is selected as the optimal production temperature plan. Finally, according to the optimal production temperature plan, the temperature of the extrusion production process of the target aluminum profile is regulated, such as adjusting the temperature setting of the heating equipment, monitoring the actual temperature of each component during the production process, and making adjustments as needed to ensure that they are within the range of the optimal temperature plan, thereby ensuring that the aluminum profile extrusion production process is carried out under the optimal temperature conditions, and thus improving the accuracy and quality of the product.

[0051] Further, step S630 further includes step S631, randomly obtaining any production temperature scheme in the optimization space; step S632, analyzing the extrusion production simulation record under the any production temperature scheme to obtain a second arbitrary simulation temperature distribution index; step S633, taking the maximum of the second arbitrary simulation temperature distribution index as the target to obtain the optimal production temperature scheme.

[0052] Preferably, randomly obtaining any production temperature scheme from the optimization space includes a set of specific temperature values for simulating the temperature conditions during the extrusion production process. Then, use simulation software to simulate the extrusion production of any production temperature scheme, record key information such as temperature distribution, material flow, and stress state during the simulation process. By analyzing these simulation records, a second arbitrary simulation temperature distribution index is obtained, which is a comprehensive index for evaluating the uniformity and stability of the temperature distribution during the extrusion production process under the current temperature scheme. Similarly, randomly obtain different production temperature schemes in the optimization space and conduct simulation analysis of the extrusion production. Calculate the corresponding temperature distribution index for each scheme, and then take the maximum of the second arbitrary simulation temperature distribution index as the target. Compare the temperature distribution indexes under different schemes and select the scheme with the largest index value as the current optimal production temperature scheme to ensure the accuracy and quality of the aluminum profile products.

[0053] In the above, reference is made to Figure 1 The temperature control method for aluminum profile extrusion production according to the embodiment of the present invention is described in detail. Next, the temperature control system for aluminum profile extrusion production according to the embodiment of the present invention will be described with reference to Figure 2 Describe the temperature control system for aluminum profile extrusion production according to the embodiment of the present invention.

[0054] The temperature control system for aluminum profile extrusion production according to the embodiment of the present invention is used to solve the technical problems in the prior art that single-point temperature measurement cannot capture the temperature gradient of complex cross-sections and the temperature dynamic regulation has a significant lag, resulting in poor temperature regulation accuracy, dimensional accuracy, and surface quality of aluminum profile extrusion forming, and achieves the technical effect of improving the production temperature regulation accuracy, product accuracy, and surface quality. As Figure 2 shown, the temperature control system for aluminum profile extrusion production includes: a real-time temperature value monitoring module 10, a temperature difference judgment module 20, a real-time temperature distribution map generation module 30, a real-time temperature distribution index obtaining module 40, a first warning instruction issuing module 50, and an extrusion production temperature regulation module 60.

[0055] The real-time temperature value monitoring module 10 is used to dynamically monitor the real-time temperature value through a distributed temperature detector. Among them, the distributed temperature detector is arranged at the outlet position of the target extrusion die of the target aluminum profile; the temperature difference judgment module 20 is used to judge whether the real-time temperature difference meets a predetermined temperature difference threshold. Among them, the real-time temperature difference refers to the difference between the real-time middle temperature of the straight edge and the real-time temperature of the arc end in the real-time temperature value; the real-time temperature distribution map generation module 30 is used to, if it meets the condition, activate an infrared thermometer to perform real-time temperature monitoring on the cross-section of the target aluminum profile and form a real-time temperature distribution map; the real-time temperature distribution index obtaining module 40 is used to introduce a temperature distribution evaluation mechanism to evaluate and analyze the real-time temperature distribution map to obtain a real-time temperature distribution index; the first warning instruction issuing module 50 is used to issue a first warning instruction when the real-time temperature distribution index does not meet the predetermined index threshold; the extrusion production temperature regulation module 60 is used to read a temperature control plan based on the first warning instruction and regulate the extrusion production temperature of the target aluminum profile according to the temperature control plan.

[0056] Next, the specific configuration of the temperature difference judgment module 20 will be described in detail. The temperature difference judgment module 20 further includes: if it does not meet the condition, issue a second warning instruction, and based on the second warning instruction, retrieve the temperature control plan to regulate the extrusion production temperature of the target aluminum profile.

[0057] Next, the specific configuration of the temperature difference judgment module 20 will be further described in detail. The temperature difference judgment module 20 further includes: extract the extrusion speed control plan in the temperature control plan; based on the material properties of the target aluminum profile, the die design of the target extrusion die, and the equipment capabilities of the target extrusion equipment, establish an extrusion speed control constraint; set an extrusion speed threshold based on the extrusion speed control constraint; randomly extract any extrusion speed from the extrusion speed threshold according to the extrusion speed control plan; analyze the extrusion production simulation record at the any extrusion speed to obtain a first arbitrary simulation temperature distribution index; aim at maximizing the first arbitrary simulation temperature distribution index to obtain an optimal extrusion speed; regulate the extrusion production temperature of the target aluminum profile based on the optimal extrusion speed.

[0058] Next, the specific configuration of the real-time temperature distribution index obtaining module 40 will be described in detail. The real-time temperature distribution index obtaining module 40 further includes: randomly sampling the real-time temperature distribution map according to the temperature distribution evaluation mechanism to obtain a sampling node set; extracting a first node from the sampling node set, and the first node corresponds to a first coordinate and a first temperature value; obtaining a first neighborhood of the first node based on the first coordinate, and verifying the first temperature value with the first neighborhood temperature value of the first neighborhood to obtain a first verified temperature value; reading the predetermined cross-sectional temperature, and combining the first verified temperature value to obtain the real-time temperature distribution index.

[0059] Next, the specific configuration of the real-time temperature distribution index obtaining module 40 will be further described in detail. The real-time temperature distribution index obtaining module 40 further includes: rasterizing the real-time temperature distribution map to obtain a raster set, and matching the first raster corresponding to the first node in the raster set in combination with the first coordinate; forming a first adjacent raster set of the first raster, and denoting the first adjacent raster set as the first neighborhood of the first node.

[0060] Next, the specific configuration of the real-time temperature distribution index obtaining module 40 will be further described in detail. The real-time temperature distribution index obtaining module 40 further includes: performing sampling aggregation processing on the temperature values in the first adjacent raster, where the first adjacent raster refers to any raster in the first adjacent raster set, to obtain a first fusion temperature value; taking the mean value of the first fusion temperature value as the first neighborhood temperature value.

[0061] Next, the specific configuration of the real-time temperature distribution index obtaining module 40 will be further described in detail. The real-time temperature distribution index obtaining module 40 further includes: extracting a second node from the sampling node set, and obtaining a second verified temperature value of the second node; determining a mean temperature gradient according to the temperature deviation obtained by comparing the first verified temperature value with the second verified temperature value; comparing the first verified temperature value and the second verified temperature value with the predetermined cross-sectional temperature in sequence to obtain a first temperature deviation and a second temperature deviation respectively; determining a mean temperature deviation according to the first temperature deviation and the second temperature deviation; obtaining the real-time temperature distribution index based on the temperature standard deviation calculated from the first verified temperature value and the second verified temperature value, in combination with the mean temperature gradient and the mean temperature deviation.

[0062] Next, the specific configuration of the extrusion production temperature control module 60 will be described in detail. The extrusion production temperature control module 60 further includes: extracting the production temperature control plan in the temperature control plan, where the production temperature control plan stores the die temperature threshold, the aluminum bar temperature threshold, and the extrusion cylinder temperature threshold; constructing an optimization space based on the die temperature threshold, the aluminum bar temperature threshold, and the extrusion cylinder temperature threshold; performing global simulation optimization in the optimization space to obtain the optimal production temperature plan, and controlling the extrusion production temperature of the target aluminum profile according to the optimal production temperature plan.

[0063] Next, the specific configuration of the extrusion production temperature control module 60 will be further described in detail. The extrusion production temperature control module 60 further includes: randomly obtaining any production temperature plan in the optimization space; analyzing the extrusion production simulation record under the any production temperature plan to obtain the second arbitrary simulation temperature distribution index; taking the maximum of the second arbitrary simulation temperature distribution index as the target to obtain the optimal production temperature plan.

[0064] The temperature control system for aluminum profile extrusion production provided by the embodiments of the present invention can execute the temperature control method for aluminum profile extrusion production provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0065] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or server. The included individual units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0066] The above specific implementation manners do not constitute a limitation to the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A temperature control method for aluminum profile extrusion production, characterized in that: include: The real-time temperature value is obtained by dynamic monitoring with a distributed temperature detector, wherein the distributed temperature detector is arranged at the exit position of the target extrusion die of the target aluminum profile; Determine whether the real-time temperature difference meets a predetermined temperature difference threshold, wherein the real-time temperature difference refers to the difference between the real-time straight edge middle temperature and the real-time arc end temperature in the real-time temperature value; If it meets the requirements, the infrared thermometer is activated to monitor the temperature of the cross section of the target aluminum profile in real time and form a real-time temperature distribution diagram; Introducing a temperature distribution evaluation mechanism to evaluate and analyze the real-time temperature distribution graph to obtain a real-time temperature distribution index; When the real-time temperature distribution index does not meet a predetermined index threshold, issuing a first warning instruction; A temperature control plan is read based on the first early warning instruction, and the extrusion production temperature of the target aluminum profile is regulated according to the temperature control plan.

2. The temperature control method for aluminum profile extrusion production according to claim 1, characterized in that: After determining whether the real-time temperature difference meets the predetermined temperature difference threshold, if it does not meet the predetermined temperature difference threshold, a second warning instruction is issued, and based on the second warning instruction, the temperature control plan is called to control the extrusion production temperature of the target aluminum profile.

3. The temperature control method for aluminum profile extrusion production according to claim 2, characterized in that: Based on the second early warning instruction, the temperature control plan is called to control the extrusion production temperature of the target aluminum profile, including: Extracting the extrusion speed control scheme from the temperature control plan; Based on the material properties of the target aluminum profile, the die design of the target extrusion die and the equipment capacity of the target extrusion equipment, an extrusion speed control constraint is established; setting an extrusion speed threshold based on the extrusion speed control constraint; Randomly extract any extrusion speed in the extrusion speed threshold according to the extrusion speed control scheme; Analyzing the extrusion production simulation record at the arbitrary extrusion speed to obtain a first arbitrary simulation temperature distribution index; Taking the maximum of the first arbitrary simulation temperature distribution index as the goal, obtaining the optimal extrusion speed; The extrusion production temperature of the target aluminum profile is regulated based on the optimal extrusion speed.

4. The temperature control method for aluminum profile extrusion production according to claim 1, characterized in that: A temperature distribution evaluation mechanism is introduced to evaluate and analyze the real-time temperature distribution map to obtain a real-time temperature distribution index, including: Performing random temperature sampling on the real-time temperature distribution graph according to the temperature distribution evaluation mechanism to obtain a sampling node set; Extracting a first node from the sampling node set, where the first node corresponds to a first coordinate and a first temperature value; Acquire a first neighborhood of the first node based on the first coordinate, and verify the first temperature value with a first neighborhood temperature value of the first neighborhood to obtain a first verified temperature value; The predetermined cross-sectional temperature is read and combined with the first verification temperature value to obtain the real-time temperature distribution index.

5. The temperature control method for aluminum profile extrusion production according to claim 4, characterized in that: include: rasterizing the real-time temperature distribution graph to obtain a grid set, and matching a first grid corresponding to the first node in the grid set in combination with the first coordinate; A first adjacent grid set of the first grid is assembled, and the first adjacent grid set is recorded as the first neighborhood of the first node.

6. The temperature control method for aluminum profile extrusion production according to claim 5, characterized in that: Acquiring a first neighborhood of the first node based on the first coordinates includes: Performing sampling and aggregation processing on the temperature values ​​in the first adjacent grid to obtain a first fused temperature value, wherein the first adjacent grid refers to any grid in the first adjacent grid set; The average of the first fusion temperature values ​​is taken as the first neighborhood temperature value.

7. The temperature control method for aluminum profile extrusion production according to claim 4, characterized in that: Verifying the first temperature value with a first neighborhood temperature value of the first neighborhood to obtain a first verified temperature value includes: Extracting a second node from the sampling node set, and acquiring a second verification temperature value of the second node; Determine a temperature gradient mean value according to a temperature deviation obtained by comparing the first verification temperature value with the second verification temperature value; Comparing the first verification temperature value and the second verification temperature value with the predetermined cross-sectional temperature in sequence, to obtain a first temperature deviation and a second temperature deviation respectively; Determine a temperature deviation mean value according to the first temperature deviation and the second temperature deviation; The real-time temperature distribution index is obtained by calculating the temperature standard deviation based on the first verification temperature value and the second verification temperature value and combining the temperature gradient mean and the temperature deviation mean.

8. The temperature control method for aluminum profile extrusion production according to claim 1, characterized in that: Reading a temperature control plan based on the first early warning instruction, and regulating the extrusion production temperature of the target aluminum profile according to the temperature control plan, including: Extracting a production temperature control scheme from the temperature control plan, wherein the production temperature control scheme stores a mold temperature threshold, an aluminum rod temperature threshold, and an extrusion barrel temperature threshold; Constructing an optimization space based on the mold temperature threshold, the aluminum rod temperature threshold, and the extrusion barrel temperature threshold; A global simulation optimization is performed in the optimization space to obtain an optimal production temperature solution, and the extrusion production temperature of the target aluminum profile is regulated according to the optimal production temperature solution.

9. The temperature control method for aluminum profile extrusion production according to claim 8, characterized in that: Performing global simulation optimization in the optimization space to obtain the optimal production temperature solution includes: Randomly obtain any production temperature solution in the optimization space; Analyze the extrusion production simulation record under the arbitrary production temperature scheme to obtain a second arbitrary simulation temperature distribution index; The optimal production temperature solution is obtained by taking the maximum of the second arbitrary simulation temperature distribution index as the goal.

10. Temperature control system for aluminum profile extrusion production, characterized in that: The system is used to implement the temperature control method for aluminum profile extrusion production according to any one of claims 1 to 9, and the system comprises: A real-time temperature value monitoring module, used for dynamically monitoring and obtaining a real-time temperature value through a distributed temperature detector, wherein the distributed temperature detector is arranged at an exit position of a target extrusion die of a target aluminum profile; A temperature difference judgment module, used to judge whether the real-time temperature difference meets a predetermined temperature difference threshold, wherein the real-time temperature difference refers to the difference between the real-time straight edge middle temperature and the real-time arc end temperature in the real-time temperature value; A real-time temperature distribution diagram generating module is used to activate an infrared thermometer to perform real-time temperature monitoring on the cross section of the target aluminum profile if the conditions are met, and to generate a real-time temperature distribution diagram; A real-time temperature distribution index obtaining module is used to introduce a temperature distribution evaluation mechanism to evaluate and analyze the real-time temperature distribution diagram to obtain a real-time temperature distribution index; A first warning instruction issuing module, configured to issue a first warning instruction when the real-time temperature distribution index does not meet a predetermined index threshold; The extrusion production temperature control module is used to read the temperature control plan based on the first early warning instruction, and control the extrusion production temperature of the target aluminum profile according to the temperature control plan.

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