A system and method for processing aluminum alloy profiles

Abstract

This invention discloses an aluminum alloy profile processing system and method, relating to the field of aluminum alloy profile processing technology. The system includes the following components: an environmental monitoring module, a parameter adjustment module, a tool adaptive module, and a collaborative control module. By integrating the environmental monitoring module and the parameter adjustment module, this invention can monitor key factors such as temperature, humidity, and air pressure in the processing environment in real time, and automatically adjust processing parameters such as cutting speed and feed rate accordingly. This real-time environmental perception and parameter optimization mechanism effectively reduces processing errors caused by environmental changes and significantly improves the processing quality of aluminum alloy profiles. At the same time, the tool adaptive module makes fine adjustments based on the hardness and shape differences of the profile, further enhancing processing stability and ensuring product consistency and reliability.

Description

Technical Field

[0001] This invention relates to the field of aluminum alloy profile processing technology, specifically to an aluminum alloy profile processing system and method. Background Technology

[0002] Aluminum alloy profiles are widely used in aerospace, automobile manufacturing, building decoration, electronic equipment and other fields due to their lightweight, high strength, corrosion resistance and good processing performance. However, during the processing of aluminum alloy profiles, changes in the processing environment and the physical properties of the profiles themselves have a significant impact on the processing quality.

[0003] First, changes in the processing environment, such as fluctuations in temperature, humidity, and air pressure, directly affect the cutting force, cutting temperature, and tool wear during the processing, thus impacting machining accuracy and surface quality. Increased temperature softens the material, reducing cutting resistance, but also increases tool thermal wear, affecting machining accuracy. Changes in humidity may affect the lubrication effect of the cutting fluid, thereby affecting cutting efficiency and tool life. Second, the hardness, shape, and size differences of aluminum alloy profiles also have a significant impact on the processing. Aluminum alloy profiles with different hardness require different cutting parameters and tool selections to ensure processing quality and efficiency. At the same time, the differences in the shape and size of the profiles also require the processing system to have a high degree of flexibility and adaptability to meet diverse processing needs.

[0004] Existing aluminum alloy profile processing systems are often unable to adapt to these complex and ever-changing processing conditions in real time. Traditional processing methods often rely on empirical parameter settings and fixed tool selection, and cannot be adjusted in real time according to changes in the processing environment and the physical properties of the profile. This results in unstable processing quality, low efficiency, and difficulty in meeting the requirements of high-precision and high-efficiency processing.

[0005] Therefore, there is an urgent need for an aluminum alloy profile processing system and method that can adapt to complex and changing processing conditions in real time, so as to improve processing quality and efficiency and meet the wide application needs of aluminum alloy profiles in various fields. The aluminum alloy profile adaptive collaborative processing system and method of the present invention is proposed to solve this problem. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of existing technologies and provide an aluminum alloy profile processing system and method. This system integrates an environmental monitoring module, a parameter adjustment module, a tool self-adaptation module, and a collaborative control module to achieve real-time monitoring of the processing environment and intelligent adjustment of processing parameters. Simultaneously, the tool self-adaptation module can comprehensively adjust the tool angle, cutting edge shape, and cutting parameters based on environmental changes and the hardness, shape, and processing requirements of the aluminum alloy profile, thereby achieving efficient adaptation to complex and variable processing conditions. This adaptive collaborative processing system and method not only improves processing quality and efficiency but also reduces processing costs, providing a completely new solution for aluminum alloy profile processing.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: On the one hand, an aluminum alloy profile processing system, the system comprising the following components: an environmental monitoring module, a parameter adjustment module, a tool adaptive module, and a collaborative control module;

[0008] The environmental monitoring module is used to monitor processing environmental factors in real time, including temperature, humidity and air pressure, to provide data support for subsequent parameter adjustments and tool self-adaptation;

[0009] The parameter adjustment module automatically adjusts the machining parameters, including cutting speed and feed rate, based on data collected by the environmental monitoring module, to ensure stable machining quality.

[0010] The tool adaptive module includes a tool angle adjustment mechanism, a cutting edge shape adjustment mechanism, and a cutting parameter optimization module. The tool angle adjustment mechanism is driven by electricity, hydraulics, or pneumatics. Based on environmental changes and the hardness and shape of the aluminum alloy profile, it adjusts the tool's cutting angle, feed angle, and principal rake angle parameters in real time. The specific adjustment process is achieved through an algorithm. ,in, This indicates the adjusted tool angle. This indicates the original tool angle. This is the angle adjustment coefficient. The comprehensive environmental change index calculated by the environmental monitoring module. The hardness coefficient of the aluminum alloy profile is used. When the comprehensive index of environmental changes increases, it indicates a significant change in the processing environment. At this point, the tool angle is adjusted according to the hardness coefficient of the profile to ensure the tool maintains its cutting performance under different environments and profile hardness conditions. The cutting edge shape adjustment mechanism adjusts the tool's cutting edge shape by changing the tool's grinding parameters and cutting edge radius. This mechanism can automatically select a suitable cutting edge shape based on different processing requirements and the characteristics of the aluminum alloy profile. The adjustment process is based on an algorithm: ,in This indicates the adjusted cutting edge radius. This indicates the original cutting edge radius. This is the cutting edge adjustment coefficient. This is a comprehensive index of environmental change. The shape complexity coefficient of the aluminum alloy profile is used to adjust the cutting edge shape based on the shape complexity coefficient when the comprehensive index of environmental changes changes and the profile shape becomes more complex, thereby improving cutting performance and machining quality. The cutting parameter optimization module establishes a cutting parameter optimization model, which automatically optimizes the cutting parameters of the tool, including cutting speed, feed rate, and depth of cut, based on environmental changes, the hardness, shape, and machining requirements of the aluminum alloy profile. The optimization process uses an algorithm. ,in This indicates the adjusted feed rate. This indicates the original feed rate. This is the feed rate adjustment coefficient. This is a comprehensive index of environmental change. This represents the hardness coefficient of the aluminum alloy profile. The shape complexity coefficient of aluminum alloy profiles is determined by comprehensively considering environmental changes, profile hardness, and shape complexity, and optimizing cutting parameters to make the machining process more efficient and stable.

[0011] The collaborative control module is responsible for coordinating the work of each module, enabling them to work together to adapt to complex and ever-changing processing conditions.

[0012] Furthermore, the environmental monitoring module is used to monitor processing environmental factors in real time, including temperature sensors, humidity sensors, and air pressure sensors, using formulas. Calculate the comprehensive environmental change index, among which This represents a comprehensive index of environmental change. Indicates the temperature value. Indicates humidity value. Indicates air pressure value. , , These are the weighting coefficients.

[0013] Furthermore, the environmental monitoring module establishes a dynamic adjustment mechanism for the data acquisition frequency, automatically adjusting the data acquisition frequency according to the rate of change of the processing environment and processing requirements.

[0014] Furthermore, the parameter adjustment module automatically adjusts the processing parameters based on the data collected by the environmental monitoring module, using a formula. Adjust the cutting speed, among which This indicates the adjusted cutting speed. This indicates the original cutting speed. To adjust the coefficient, It is a comprehensive index of environmental change.

[0015] Furthermore, the collaborative control module establishes an efficient communication mechanism between the environmental monitoring module, parameter adjustment module, and tool adaptive module, and uses bus communication and network communication to enable real-time exchange of data and information between the modules.

[0016] Furthermore, the collaborative control module monitors the operating status of the aluminum alloy profile adaptive collaborative machining system in real time, including the working status of each module, changes in machining parameters, and tool wear.

[0017] Furthermore, the collaborative control module establishes a fault diagnosis model, which can promptly and accurately diagnose the cause of the fault when a system fault occurs, and take corresponding fault-solving measures.

[0018] Furthermore, the collaborative control module uses the formula The coordination weights of each module are dynamically adjusted, among which... Indicates the first The coordination weights of each module, This is the weighting adjustment factor. For the first The comprehensive index of environmental change corresponding to each module.

[0019] On the other hand, a method for processing aluminum alloy profiles includes the following specific steps:

[0020] Environmental monitoring: The environmental monitoring module monitors processing environmental factors in real time, including temperature, humidity and air pressure, to provide data support for subsequent processing parameter adjustments and tool adaptive adjustments;

[0021] Automatic parameter adjustment: Based on the data collected by the environmental monitoring module, the machining parameters, including cutting speed, feed rate and depth of cut, are automatically adjusted by the parameter adjustment module to adapt to changes in the machining environment and ensure the stability and quality of the machining process.

[0022] Tool Adaptive Adjustment: Based on changes in the machining environment and the hardness, shape, and machining requirements of the aluminum alloy profile, the tool adaptive module comprehensively adjusts the tool angle, cutting edge shape, and cutting parameters. This module can intelligently sense changes in the machining environment and automatically adjust tool parameters to adapt to different machining conditions, thereby improving machining efficiency and quality.

[0023] Intelligent collaborative control: The intelligent collaborative control module coordinates the work of each module, enabling environmental monitoring, parameter adjustment and tool adaptive adjustment to be carried out in real time and accurately.

[0024] Compared with existing technologies, this aluminum alloy profile processing system and method have the following advantages:

[0025] I. This invention integrates an environmental monitoring module and a parameter adjustment module, enabling real-time monitoring of key factors in the processing environment such as temperature, humidity, and air pressure. Based on this, it automatically adjusts processing parameters such as cutting speed and feed rate. This real-time environmental perception and parameter optimization mechanism effectively reduces processing errors caused by environmental changes and significantly improves the processing quality of aluminum alloy profiles. At the same time, the tool adaptive module makes fine adjustments based on the hardness and shape differences of the profiles, further enhancing processing stability and ensuring product consistency and reliability.

[0026] Second, this invention optimizes the cutting process by intelligently adjusting the tool angle, cutting edge shape, and cutting parameters through the tool adaptive module, thereby reducing tool wear and energy consumption, extending tool life, reducing tool replacement frequency and production costs. In addition, the efficient coordination of the collaborative control module enables the entire machining system to respond quickly to environmental changes, reducing time wastage caused by machining interruptions or rework, and significantly improving production efficiency.

[0027] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0029] Figure 1 A schematic diagram of the system structure of an aluminum alloy profile processing system and method;

[0030] Figure 2 This is a flowchart of an aluminum alloy profile processing system and method. Detailed Implementation

[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0032] Example 1

[0033] This embodiment describes in detail the application of an aluminum alloy profile processing system and method in the processing of automotive aluminum alloy parts. During the processing, changes in environmental factors and the differences in the characteristics of the aluminum alloy profile itself can have a significant impact on the processing quality. In order to ensure the processing accuracy and quality stability of automotive aluminum alloy parts, the adaptive collaborative processing system and method for aluminum alloy profiles of this invention are adopted.

[0034] The environmental monitoring module includes temperature, humidity, and air pressure sensors that monitor environmental factors in the automotive parts processing workshop in real time. In summer, as temperatures rise, the temperature sensor detects a significant increase in the processing environment temperature. Simultaneously, the humidity and air pressure sensors continuously monitor changes in humidity and air pressure within the workshop. These sensors are carefully positioned in key locations to ensure comprehensive and accurate monitoring of all aspects of the processing environment. Based on the collected data, the environmental monitoring module uses formulas... Calculate the comprehensive environmental change index, among which This represents a comprehensive index of environmental change. Indicates the temperature value. Indicates humidity value. Indicates air pressure value. , , These are weighting coefficients. For example, in the high-temperature environment of summer, the weight of temperature may be relatively high, while in the humid season, the weight of humidity may increase. By continuously adjusting these weighting coefficients, the impact of environmental changes on processing can be reflected more accurately.

[0035] When the environmental monitoring module detects an increase in temperature, leading to a rise in the overall environmental change index, the parameter adjustment module immediately takes action. Based on a pre-established machining parameter database and parameter adjustment algorithm, the parameter adjustment module automatically reduces the cutting speed, for example, through a formula. Adjust the cutting speed, among which This indicates the adjusted cutting speed. This indicates the original cutting speed. To adjust the coefficient, As a comprehensive index of environmental change, reducing the cutting speed can reduce the thermal impact and prevent aluminum alloy parts from deforming or other quality problems due to overheating during processing. At the same time, the parameter adjustment module will also adjust other processing parameters, such as feed rate and depth of cut, according to environmental changes. For example, in a high-humidity environment, it may be necessary to appropriately reduce the feed rate to prevent corrosion on the aluminum alloy surface. The parameter adjustment module will dynamically adjust the processing parameters according to different environmental factors and processing requirements to ensure the stability of processing quality.

[0036] For automotive parts like engine blocks, which have complex shapes and require high machining precision, the tool adaptive module plays a crucial role. The tool angle adjustment mechanism adjusts according to environmental changes and the hardness and shape of the aluminum alloy profile. Because the shape complexity coefficient (D) of the engine block is relatively large, and the Environmental Change Index (ECI) increases under high-temperature conditions, according to the formula... ,in, This indicates the adjusted tool angle. This indicates the original tool angle. This is the angle adjustment coefficient. The comprehensive environmental change index calculated by the environmental monitoring module. For aluminum alloy profiles, the hardness coefficient is used. In high-temperature environments, appropriately increasing the tool angle can reduce the heat impact and improve cutting efficiency. Simultaneously, the tool angle adjustment mechanism can automatically adjust the cutting angle according to different machining parts and requirements to ensure machining quality and efficiency. The cutting edge shape adjustment mechanism also adjusts according to environmental changes and profile shape. For complex-shaped parts like engine blocks, the cutting edge shape adjustment mechanism uses a formula... ,in This indicates the adjusted cutting edge radius. This indicates the original cutting edge radius. This is the cutting edge adjustment coefficient. This is a comprehensive index of environmental change. This refers to the shape complexity coefficient of the aluminum alloy profile. Furthermore, the cutting edge shape adjustment mechanism can automatically select appropriate cutting edge shapes, such as circular arc edges or straight edges, based on different aluminum alloy profile materials and processing requirements to improve cutting performance and machining quality. The cutting parameter optimization module optimizes cutting parameters based on environmental changes, profile hardness, and shape complexity. For example, according to the formula... ,in This indicates the adjusted feed rate. This indicates the original feed rate. This is the feed rate adjustment coefficient. This is a comprehensive index of environmental change. This represents the hardness coefficient of the aluminum alloy profile. The shape complexity coefficient of aluminum alloy profiles can be optimized by adjusting cutting parameters to ensure good processing quality and efficiency under different processing conditions. The cutting parameter optimization module can also adjust the cutting parameters in real time according to the actual processing situation to adapt to various changes in the processing process.

[0037] The collaborative control module is responsible for coordinating the work of the environmental monitoring module, parameter adjustment module, and tool adaptive module. During the machining of automotive aluminum alloy parts, the collaborative control module ensures that the modules can exchange data and information in real time to achieve efficient collaborative work.

[0038] For example, when the environmental monitoring module detects an increase in temperature, the collaborative control module immediately notifies the parameter adjustment module and the tool adaptation module to synchronously adjust the machining parameters and tool status. Simultaneously, the collaborative control module monitors the entire machining system's operational status in real time, including the working status of each module, changes in machining parameters, and tool wear. By establishing a real-time monitoring mechanism, the collaborative control module can promptly identify problems and take corresponding measures to ensure the stability and reliability of the machining process. If a system malfunction occurs, the collaborative control module can promptly and accurately diagnose the cause of the malfunction and take corresponding troubleshooting measures. For instance, when a tool becomes worn or damaged, the collaborative control module notifies the tool adaptation module to replace or adjust the tool to ensure the continuity and stability of the machining process. Furthermore, the collaborative control module can communicate with equipment maintenance personnel to promptly arrange equipment repair and maintenance work, ensuring the normal operation of the machining equipment.

[0039] In summary, by adopting the adaptive collaborative machining system and method for aluminum alloy profiles of the present invention, the machining process of automotive aluminum alloy parts can effectively adapt to changes in the machining environment, thereby improving machining quality and efficiency.

[0040] Example 2

[0041] This embodiment describes in detail the application of an aluminum alloy profile processing system and method in the processing of aerospace aluminum alloy profiles. The aerospace manufacturing environment is complex and variable, and the processing process must cope with the influence of various environmental factors while meeting high processing requirements. The aluminum alloy profile adaptive collaborative processing system and method of this invention provides an effective solution for the processing of aerospace aluminum alloy profiles.

[0042] The environmental monitoring module includes temperature, humidity, and barometric pressure sensors to monitor the environment of the aerospace manufacturing workshop in real time. While aerospace manufacturing typically takes place in strictly controlled environments, it can still be affected by factors such as external weather changes. For example, when external air pressure fluctuates due to weather conditions, the barometric pressure sensor can quickly detect the change. Based on the collected data, the environmental monitoring module uses formulas... Calculate the comprehensive environmental change index, among which This represents a comprehensive index of environmental change. Indicates the temperature value. Indicates humidity value. Indicates air pressure value. , , The weighting coefficients are determined based on the special requirements of aerospace manufacturing. In the aerospace field, the pressure may be more sensitive to changes in air pressure, so the weighting coefficient for air pressure is relatively high.

[0043] When the environmental monitoring module detects a change in air pressure, causing an adjustment in the comprehensive environmental change index, the parameter adjustment module responds immediately. Based on a pre-established parameter database and adjustment algorithm suitable for aerospace machining, it automatically adjusts the machining parameters. For example, it appropriately adjusts the depth of cut to ensure machining stability under changing air pressure conditions. The parameter adjustment module also fine-tunes parameters such as cutting speed and feed rate based on changes in other environmental factors, such as minor fluctuations in temperature and humidity, to ensure that the machining parameters always adapt to constantly changing environmental conditions.

[0044] For aerospace-grade aluminum alloy profiles, which typically exhibit high hardness and complex shapes, the tool adaptive module makes precise adjustments based on these characteristics and environmental changes. The tool angle adjustment mechanism operates according to a formula. ,in, This indicates the adjusted tool angle. This indicates the original tool angle. This is the angle adjustment coefficient. The comprehensive environmental change index calculated by the environmental monitoring module. Given the hardness coefficient of the aluminum alloy profile, under varying air pressure and high profile hardness, the cutting tool angle is adjusted to ensure efficient and stable cutting. For example, when air pressure decreases, the cutting tool angle is appropriately increased to reduce cutting force and prevent tool damage. The cutting edge shape adjustment mechanism is based on the formula... ,in This indicates the adjusted cutting edge radius. This indicates the original cutting edge radius. This is the cutting edge adjustment coefficient. This is a comprehensive index of environmental change. This refers to the shape complexity coefficient of aluminum alloy profiles. For complex-shaped components such as aircraft wings, the cutting edge shape is adjusted according to environmental changes and shape complexity to improve cutting accuracy and surface quality. The cutting parameter optimization module uses the following formula: ,in This indicates the adjusted feed rate. This indicates the original feed rate. This is the feed rate adjustment coefficient. This is a comprehensive index of environmental change. This represents the hardness coefficient of the aluminum alloy profile. The shape complexity coefficient of aluminum alloy profiles is used to optimize cutting parameters so that the machining process can achieve the best results under different environmental conditions and profile characteristics.

[0045] The collaborative control module plays a crucial role in the machining of aerospace aluminum alloy profiles. It is responsible for coordinating the work of the environmental monitoring module, parameter adjustment module, and tool adaptive module to ensure efficient collaboration among the modules.

[0046] When the environmental monitoring module detects environmental changes, the collaborative control module immediately notifies other modules to make corresponding adjustments. For example, when the air pressure changes, the collaborative control module quickly transmits the information to the parameter adjustment module and the tool adaptation module, enabling them to synchronously adjust the machining parameters and tool status. The collaborative control module monitors the operating status of the entire machining system in real time, including the working status of each module, changes in machining parameters, and tool wear. In the aerospace field, the reliability requirements of the system are extremely high. Therefore, the collaborative control module must be able to detect any potential problems in a timely manner and take corresponding measures. If a system failure occurs, the collaborative control module can quickly diagnose the cause of the failure and take emergency measures to ensure the safety and continuity of the machining process. For example, when the tool is severely worn or damaged, the collaborative control module immediately notifies the tool adaptation module to replace or adjust the tool and coordinates other modules to adjust the machining parameters accordingly to avoid significant impact on machining quality and progress.

[0047] In summary, by adopting the adaptive collaborative machining system and method for aluminum alloy profiles of the present invention, the machining accuracy is significantly improved, the machining quality is more stable and reliable, and the production efficiency is enhanced in the machining of aerospace aluminum alloy profiles, thereby improving the reliability and safety of the system.

[0048] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. An aluminum alloy profile machining system characterized by, The system comprises the following components: an environment monitoring module, a parameter adjustment module, a tool self-adaptive module, and a collaborative control module. The environment monitoring module is used to monitor the processing environment factors in real time, including temperature, humidity, and air pressure, to provide data support for subsequent parameter adjustment and tool self-adaptation. The parameter adjustment module adjusts the cutting speed according to the data collected by the environment monitoring module through a formula , wherein represents the adjusted cutting speed, represents the original cutting speed, is an adjustment coefficient, is an environment change comprehensive index, and the environment change comprehensive index is calculated through a formula , wherein represents the environment change comprehensive index, represents a temperature value, represents a humidity value, represents a barometric pressure value, , , is a weight coefficient. The tool self-adaptive module includes a tool angle adjustment mechanism, a blade shape adjustment mechanism, and a cutting parameter optimization module. The tool angle adjustment mechanism adopts an electric, hydraulic or pneumatic driving mode, adjusts the cutting angle, feed angle and main offset angle parameters of the tool in real time according to environmental changes and the hardness and shape factors of the aluminum alloy profile, and the specific adjustment process is realized through an algorithm: , wherein, represents the adjusted tool angle, represents the original tool angle, is an angle adjustment coefficient, is an environmental change comprehensive index calculated by the environmental monitoring module, is a hardness coefficient of the aluminum alloy profile. When the environmental change comprehensive index increases, it indicates that the processing environment has changed greatly. At this time, the tool angle is adjusted according to the hardness coefficient of the profile, so that the tool can maintain its cutting performance under different environments and profile hardness. The blade shape adjustment mechanism adjusts the blade shape of the tool by changing the grinding parameters and blade radius of the tool. This mechanism can automatically select the appropriate blade shape according to different processing requirements and the characteristics of the aluminum alloy profile. The adjustment process is based on an algorithm: , wherein represents the adjusted blade radius, represents the original blade radius, is a blade adjustment coefficient, is an environmental change comprehensive index, is a shape complexity coefficient of the aluminum alloy profile. When the environmental change comprehensive index changes and the profile shape is relatively complex, the blade shape is adjusted according to the shape complexity coefficient, thereby improving the cutting performance and processing quality. The cutting parameter optimization module establishes a cutting parameter optimization model, automatically optimizes the cutting parameters of the tool, including cutting speed, feed speed and cutting depth, according to environmental changes, hardness, shape and processing requirements of the aluminum alloy profile. The optimization process uses an algorithm: , wherein represents the adjusted feed speed, represents the original feed speed, is a feed speed adjustment coefficient, is an environmental change comprehensive index, is a hardness coefficient of the aluminum alloy profile, is a shape complexity coefficient of the aluminum alloy profile. By comprehensively considering environmental changes, profile hardness and shape complexity, the cutting parameters are optimized to make the processing process more efficient and stable. The collaborative control module is responsible for coordinating the work of each module, enabling each module to work together to adapt to complex and changing processing conditions.

2. An aluminum alloy profile processing system according to claim 1, characterized in that, The environment monitoring module establishes a dynamic adjustment mechanism for data collection frequency, automatically adjusting the data collection frequency according to the processing environment change speed and processing requirements.

3. An aluminum alloy profile processing system according to claim 1, wherein The collaborative control module establishes an efficient communication mechanism between the environment monitoring module, the parameter adjustment module, and the tool self-adaptive module, using bus communication and network communication methods to enable real-time data and information exchange between modules.

4. An aluminum alloy profile processing system according to claim 1, characterized in that, The collaborative control module monitors the running state of the aluminum alloy profile adaptive collaborative processing system in real time, including the working state of each module, the change of processing parameters, and the wear of the tool.

5. An aluminum alloy profile processing system as defined in claim 1, wherein The collaborative control module establishes a fault diagnosis model to accurately diagnose the fault cause and take corresponding fault elimination measures when the system fails.

6. An aluminum alloy profile processing system as defined in claim 1, wherein The coordination control module dynamically adjusts the coordination weights of the modules by the formula , wherein represents the coordination weight of the i-th module, is a weight adjustment coefficient, is the comprehensive index of the environmental change corresponding to the i-th module, and is the number of modules.​ 7. A method for processing of aluminium alloy profiles, implemented on the basis of the system according to any one of claims 1-6, characterized in that, The specific steps of the method include: Environment monitoring: using the environment monitoring module to monitor the processing environment factors in real time, including temperature, humidity, and air pressure, to provide data support for subsequent processing parameter adjustment and tool self-adaptive adjustment; Automatic parameter adjustment: based on the data collected by the environment monitoring module, automatically adjusting the processing parameters, including cutting speed, feed rate, and cutting depth, through the parameter adjustment module to adapt to the changes in the processing environment and ensure the stability of the processing process and the processing quality; Tool self-adaptive adjustment: based on the changes in the processing environment and the hardness, shape, and processing requirements of the aluminum alloy profile, comprehensively adjusting the tool angle, edge shape, and cutting parameters through the tool self-adaptive module, which can intelligently perceive the changes in the processing environment and automatically adjust the tool parameters to adapt to different processing conditions, improving processing efficiency and processing quality; Intelligent collaborative control: through the intelligent collaborative control module, coordinating the work of each module to enable real-time and accurate collaborative adjustment of the environment monitoring, parameter adjustment, and tool self-adaptive adjustment.

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