Aluminum alloy profile machining system and method

Abstract

The invention discloses an aluminum alloy profile machining system and method, and relates to the technical field of aluminum alloy profile machining, the system comprises the following components: an environment monitoring module, a parameter adjusting module, a cutter self-adaption module and a cooperative control module; the environment monitoring module and the parameter adjusting module are integrated, key factors such as temperature, humidity and air pressure in the machining environment can be monitored in real time, machining parameters such as the cutting speed and the feeding amount are automatically adjusted according to the key factors, the real-time environment sensing and parameter optimizing mechanism effectively reduces machining errors caused by environment changes, and the machining precision is improved. The machining quality of the aluminum alloy profile is remarkably improved, meanwhile, the cutter self-adaption module conducts fine adjustment according to the hardness and shape difference of the profile, the machining stability is further improved, and the consistency and reliability of products are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of aluminum alloy profile processing, and in particular to an aluminum alloy profile processing system and method. Background Art

[0002] Aluminum alloy profiles have been widely used in aerospace, automobile manufacturing, architectural decoration, electronic equipment and other fields due to their light weight, 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, will directly affect the cutting force, cutting temperature and tool wear during the processing, and thus affect the processing accuracy and surface quality. Increased temperature will cause the material to soften and reduce cutting resistance, but will also increase the thermal wear of the tool and affect the processing accuracy. Changes in humidity may affect the lubrication effect of the cutting fluid, and thus affect the cutting efficiency and tool life. Secondly, the hardness, shape and size differences of aluminum alloy profiles will also have an important impact on the processing process. Aluminum alloy profiles of different hardness require different cutting parameters and tool selection 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 usually difficult to adapt to these complex and changeable 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 leads to unstable processing quality and low efficiency, and it is difficult to meet high-precision and high-efficiency processing requirements.

[0005] Therefore, there is an urgent need for an aluminum alloy profile processing system and method that can adapt to complex and changeable 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 are proposed to solve this problem. Summary of the invention

[0006] The purpose of the present invention is to make up for the shortcomings of the prior art and to provide an aluminum alloy profile processing system and method, which can realize real-time monitoring of the processing environment and intelligent adjustment of processing parameters by integrating an environmental monitoring module, a parameter adjustment module, a tool adaptive module and a collaborative control module. At the same time, the tool adaptive module can comprehensively adjust the tool angle, blade shape and cutting parameters according to environmental changes and the hardness, shape and processing requirements of the aluminum alloy profile, thereby achieving efficient adaptation to complex and changeable processing conditions. This adaptive collaborative processing system and method not only improves the processing quality and efficiency, but also reduces the processing cost, providing a new solution for the processing of aluminum alloy profiles.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: On the one hand, an aluminum alloy profile processing system includes the following components: an environmental monitoring module, a parameter adjustment module, a tool adaptation module and a collaborative control module;

[0008] The environmental 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 adaptation;

[0009] The parameter adjustment module automatically adjusts the processing parameters, including cutting speed and feed rate, according to the data collected by the environmental monitoring module to stabilize the processing quality:

[0010] The tool adaptive module includes a tool angle adjustment mechanism, a cutting edge shape adjustment mechanism and a cutting parameter optimization module, wherein the tool angle adjustment mechanism adopts an electric, hydraulic or pneumatic drive mode to adjust the tool's cutting angle, feed angle and main deflection angle parameters in real time according to environmental changes and the hardness and shape factors of the aluminum alloy profile. The specific adjustment process is through the algorithm: θ new =θ old +μ×ECI×S, where θ new Indicates the adjusted tool angle, θ old represents the original tool angle, μ is the angle adjustment coefficient, ECI is the comprehensive index of environmental changes calculated by the environmental monitoring module, S is the hardness coefficient of the aluminum alloy profile. When the comprehensive index of environmental changes increases, it indicates that the processing environment has changed significantly. 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 edge shape adjustment mechanism adjusts the tool edge shape by changing the tool grinding parameters and edge radius. The mechanism can automatically select the appropriate edge shape according to different processing requirements and the characteristics of aluminum alloy profiles. The adjustment process is based on the algorithm: R new =R old +ν×ECI×D, where R new Indicates the adjusted cutting edge radius, Rold represents the original cutting edge radius, ν is the cutting edge adjustment coefficient, ECI is the comprehensive index of environmental changes, and D is the shape complexity coefficient of the aluminum alloy profile. When the comprehensive index of environmental changes changes and the profile shape is more complex, the cutting edge shape is adjusted according to the shape complexity coefficient to improve the cutting performance and processing quality. The cutting parameter optimization module establishes a cutting parameter optimization model, and automatically optimizes the cutting parameters of the tool, including cutting speed, feed speed and cutting depth, according to environmental changes, the hardness, shape and processing requirements of the aluminum alloy profile. The optimization process adopts the algorithm: F new =F old ×ω×ECI×S+D), where F new Indicates the adjusted feed speed, F old represents the original feed speed, ω is the feed speed adjustment coefficient, ECI is the comprehensive index of environmental changes, S is the hardness coefficient of the aluminum alloy profile, and D is the 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 machining process more efficient and stable.

[0011] The collaborative control module is responsible for coordinating the work of each module so that each module can cooperate with each other and adapt to complex and changeable processing conditions.

[0012] Furthermore, the environmental monitoring module is used to monitor the processing environment factors in real time, including temperature sensors, humidity sensors, and air pressure sensors, and the formula ECI=αT+βH+γP is used to calculate the comprehensive index of environmental changes, where ECI represents the comprehensive index of environmental changes, T represents the temperature value, H represents the humidity value, P represents the air pressure value, and α, β, and γ are weight coefficients.

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

[0014] Furthermore, the parameter adjustment module automatically adjusts the processing parameters according to the data collected by the environmental monitoring module, and the formula V new =V old ×e -λ×ECI Adjust the cutting speed, where V new Indicates the adjusted cutting speed, V old represents the original cutting speed, λ is the adjustment coefficient, and ECI is the comprehensive index of environmental changes.

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

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

[0017] Furthermore, the collaborative control module establishes a fault diagnosis model, and when a system fault occurs, the fault cause is diagnosed promptly and accurately, and corresponding troubleshooting measures are taken.

[0018] Furthermore, the collaborative control module uses the formula Dynamically adjust the coordination weight of each module, where W i represents the coordination weight of the i-th module, κ is the weight adjustment coefficient, and ECI i is the comprehensive index of environmental change corresponding to the i-th module.

[0019] On the other hand, a method for processing an aluminum alloy profile comprises the following specific steps:

[0020] Environmental monitoring: Use the environmental 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 adjustments and tool adaptive adjustments;

[0021] Automatic parameter adjustment: According to the data collected by the environmental monitoring module, the parameter adjustment module automatically adjusts the processing parameters, including cutting speed, feed rate and cutting depth, to adapt to changes in the processing environment and ensure the stability and quality of the processing process;

[0022] Tool adaptive adjustment: According to the changes in the processing environment and the hardness, shape and processing requirements of the aluminum alloy profile, the tool angle, edge shape and cutting parameters are comprehensively adjusted through the tool adaptive module. The module can intelligently sense the changes in the processing environment and automatically adjust the tool parameters to adapt to different processing conditions, thereby improving processing efficiency and quality.

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

[0024] Compared with the prior art, the aluminum alloy profile processing system and method have the following beneficial effects:

[0025] 1. The present invention integrates an environmental monitoring module and a parameter adjustment module to monitor key factors such as temperature, humidity, and air pressure in the processing environment in real time, and automatically adjusts 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 profiles, further enhancing the stability of the processing and ensuring the consistency and reliability of the product.

[0026] 2. The present invention optimizes the cutting process, reduces tool wear and energy consumption, and extends tool life by intelligently adjusting tool angles, cutting edge shapes and cutting parameters through a tool adaptive module. In addition, the efficient coordination of the collaborative control module enables the entire machining system to respond quickly to environmental changes, reduces time wasted due to machining interruptions or rework, and significantly improves production efficiency.

[0027] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

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

[0030] Figure 2 The present invention is a flow chart of an aluminum alloy profile processing system and method. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Embodiment 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 differences in the characteristics of the aluminum alloy profiles themselves will have a significant impact on the processing quality. In order to ensure the processing accuracy and quality stability of automotive aluminum alloy parts, the aluminum alloy profile adaptive collaborative processing system and method of the present invention are adopted.

[0034] The temperature sensor, humidity sensor and air pressure sensor in the environmental monitoring module monitor the environmental factors of the automobile parts processing workshop in real time. In summer, as the temperature rises, the temperature sensor detects that the processing environment temperature has risen significantly. At the same time, the humidity sensor and air pressure sensor also continuously monitor the humidity and air pressure changes in the workshop. These sensors are carefully arranged in key positions to ensure that all aspects of the processing environment can be fully and accurately monitored. The environmental monitoring module calculates the comprehensive index of environmental changes based on the collected data using the formula ECI=αT+βH+γP, where ECI represents the comprehensive index of environmental changes, T represents the temperature value, H represents the humidity value, P represents the air pressure value, and α, β, and γ are weight coefficients. For example, in the high temperature environment in summer, the weight of temperature may be relatively high, while in humid seasons, the weight of humidity may increase. By continuously adjusting these weight coefficients, the impact of environmental changes on processing can be more accurately reflected.

[0035] When the environmental monitoring module detects that the temperature rises, resulting in an increase in the comprehensive index of environmental changes, the parameter adjustment module immediately takes action. According to the pre-established processing parameter database and parameter adjustment algorithm, the parameter adjustment module automatically reduces the cutting speed. For example, by formula V new =V old ×e -λ×ECI Adjust the cutting speed, where V new Indicates the adjusted cutting speed, V old represents the original cutting speed, λ is the adjustment coefficient, and ECI is the comprehensive index of environmental changes. Reducing the cutting speed can reduce the thermal impact and prevent aluminum alloy parts from being deformed or having other quality problems due to overheating during processing. At the same time, the parameter adjustment module will also adjust other processing parameters according to environmental changes, such as feed speed, cutting depth, etc. For example, in an environment with high humidity, it may be necessary to appropriately reduce the feed speed to prevent corrosion on the surface of the aluminum alloy. The parameter adjustment module will dynamically adjust the processing parameters according to different environmental factors and processing requirements to ensure the stability of the processing quality.

[0036] For automotive parts such as engine blocks that have complex shapes and high machining accuracy requirements, the tool adaptive module plays a key role. The tool angle adjustment mechanism is adjusted according to environmental changes and the hardness and shape of aluminum alloy profiles. Since the shape complexity coefficient (D) of the engine block is large and the environmental change comprehensive index (ECI) increases in high temperature environments, according to the formula θ new =θ old +μ×ECI×S, where θ new Indicates the adjusted tool angle, θ old represents the original tool angle, μ is the angle adjustment coefficient, ECI is the comprehensive index of environmental changes calculated by the environmental monitoring module, and S is the hardness coefficient of the aluminum alloy profile. In a high temperature environment, appropriately increasing the tool angle can reduce the thermal impact and improve the cutting efficiency. At the same time, the tool angle adjustment mechanism can also automatically adjust the cutting angle of the tool according to different processing parts and processing requirements to ensure the processing quality and efficiency. The blade shape adjustment mechanism is also adjusted according to environmental changes and profile shape. For complex parts such as engine cylinders, the blade shape adjustment mechanism is adjusted according to the formula R new =R old +ν×ECI×D, where R new Indicates the adjusted cutting edge radius, R old represents the original cutting edge radius, ν is the cutting edge adjustment coefficient, ECI is the comprehensive index of environmental changes, and D is the shape complexity coefficient of the aluminum alloy profile. In addition, the cutting edge shape adjustment mechanism can also automatically select the appropriate cutting edge shape, such as arc edge, straight edge, etc., according to different aluminum alloy profile materials and processing requirements to improve cutting performance and processing quality. The cutting parameter optimization module optimizes the cutting parameters according to environmental changes, profile hardness and shape complexity. For example, according to formula F new =F old ×ω×ECI×(S+D), where F new Indicates the adjusted feed speed, F old represents the original feed speed, ω is the feed speed adjustment coefficient, ECI is the comprehensive environmental change index, S is the hardness coefficient of the aluminum alloy profile, and D is the shape complexity coefficient of the aluminum alloy profile. By optimizing the cutting parameters, it can be ensured that good processing quality and efficiency can be maintained under different processing conditions. The cutting parameter optimization module can also adjust the cutting parameters in real time according to the actual processing conditions 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 adaptation module. During the processing 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 processing parameters and tool status. At the same time, the collaborative control module monitors the operating status of the entire processing system in real time, including the working status of each module, changes in processing parameters, tool wear, etc. By establishing a real-time monitoring mechanism, the collaborative control module can promptly discover problems and take corresponding measures to ensure the stability and reliability of the processing process. If the system fails, the collaborative control module can promptly and accurately diagnose the cause of the failure and take corresponding troubleshooting measures. For example, when the tool is 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 processing process. At the same time, the collaborative control module can also communicate with equipment maintenance personnel to arrange equipment repair and maintenance work in a timely manner to ensure the normal operation of the processing equipment.

[0039] In summary, by adopting the aluminum alloy profile adaptive collaborative processing system and method of the present invention, during the processing of automobile aluminum alloy parts, it is possible to effectively adapt to changes in the processing environment and improve processing quality and efficiency.

[0040] Embodiment 2

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

[0042] The temperature sensor, humidity sensor and air pressure sensor in the environmental monitoring module monitor the environment of the aerospace processing workshop in real time. Since aerospace manufacturing is usually carried out in a strictly controlled environment, it may still be affected by factors such as external weather changes. For example, when the external air pressure fluctuates due to weather changes, the air pressure sensor can quickly detect the changes. The environmental monitoring module calculates the comprehensive index of environmental changes based on the collected data using the formula ECI=αT+βH+γP, where ECI represents the comprehensive index of environmental changes, T represents the temperature value, H represents the humidity value, P represents the air pressure value, and α, β, and γ are weight coefficients determined according to the special requirements of aerospace processing. In the aerospace field, it may be more sensitive to changes in air pressure, so the weight coefficient of air pressure is relatively high.

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

[0044] For aluminum alloy profiles used in aerospace, which usually have the characteristics of high hardness and complex shapes, the tool adaptive module makes precise adjustments based on these characteristics and environmental changes. The tool angle adjustment mechanism is based on the formula θ new =θ old +μ×ECI×S, where θ new Indicates the adjusted tool angle, θ old represents the original tool angle, μ is the angle adjustment coefficient, ECI is the comprehensive index of environmental changes calculated by the environmental monitoring module, and S is the hardness coefficient of the aluminum alloy profile. When the air pressure changes and the profile hardness is high, the tool angle is adjusted to ensure the efficiency and stability of the cutting process. For example, when the air pressure decreases, the tool angle is appropriately increased to reduce the cutting force and prevent tool damage. The edge shape adjustment mechanism is based on the formula R new =R old +ν×ECI×D, where R new Indicates the adjusted cutting edge radius, R old represents the original cutting edge radius, ν is the cutting edge adjustment coefficient, ECI is the comprehensive index of environmental changes, and D is the shape complexity coefficient of the aluminum alloy profile. For parts with complex shapes 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 is based on the formula: F new =F old ×ω×ECI×(S+D), where F new Indicates the adjusted feed speed, F old represents the original feed speed, ω is the feed speed adjustment coefficient, ECI is the comprehensive index of environmental changes, S is the hardness coefficient of the aluminum alloy profile, and D is the shape complexity coefficient of the aluminum alloy profile. By optimizing the cutting parameters, the machining process can achieve the best effect under different environmental conditions and profile characteristics.

[0045] The collaborative control module plays a vital role in the processing of aerospace aluminum alloy profiles. It is responsible for coordinating the work of the environmental monitoring module, parameter adjustment module and tool adaptation module to ensure efficient collaboration between 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 passes the information to the parameter adjustment module and the tool adaptation module, so that they can synchronously adjust the processing parameters and tool status. The collaborative control module monitors the operating status of the entire processing system in real time, including the working status of each module, changes in processing parameters, tool wear, etc. 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 time and take corresponding measures. If the system fails, the collaborative control module can quickly diagnose the cause of the failure and take emergency measures to ensure the safety and continuity of the processing 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 processing parameters accordingly to avoid significant impact on processing quality and progress.

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

[0048] It will be apparent to those skilled in the art that the 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 the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An aluminum alloy profile processing system, characterized in that: The system includes the following components: environmental monitoring module, parameter adjustment module, tool adaptation module and collaborative control module; The environmental 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 adaptation; The parameter adjustment module automatically adjusts the processing parameters, including cutting speed and feed rate, according to the data collected by the environmental monitoring module to stabilize the processing quality: The tool adaptive module includes a tool angle adjustment mechanism, a cutting edge shape adjustment mechanism and a cutting parameter optimization module, wherein the tool angle adjustment mechanism adopts an electric, hydraulic or pneumatic drive mode to adjust the tool's cutting angle, feed angle and main deflection angle parameters in real time according to environmental changes and the hardness and shape factors of the aluminum alloy profile. The specific adjustment process is through the algorithm: θ new =θ old +μ×ECI×S, where θ new Indicates the adjusted tool angle, θ old represents the original tool angle, μ is the angle adjustment coefficient, ECI is the comprehensive index of environmental changes calculated by the environmental monitoring module, S is the hardness coefficient of the aluminum alloy profile. When the comprehensive index of environmental changes increases, it indicates that the processing environment has changed significantly. 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 edge shape adjustment mechanism adjusts the tool edge shape by changing the tool grinding parameters and edge radius. The mechanism can automatically select the appropriate edge shape according to different processing requirements and the characteristics of aluminum alloy profiles. The adjustment process is based on the algorithm: R new =R old +ν×ECI×D, where R new Indicates the adjusted cutting edge radius, R old represents the original cutting edge radius, ν is the cutting edge adjustment coefficient, ECI is the comprehensive index of environmental changes, and D is the shape complexity coefficient of the aluminum alloy profile. When the comprehensive index of environmental changes changes and the profile shape is more complex, the cutting edge shape is adjusted according to the shape complexity coefficient to improve the cutting performance and processing quality. The cutting parameter optimization module establishes a cutting parameter optimization model, and automatically optimizes the cutting parameters of the tool, including cutting speed, feed speed and cutting depth, according to environmental changes, the hardness, shape and processing requirements of the aluminum alloy profile. The optimization process adopts the algorithm: F new =F old ×ω×ECI×(S+D), where F new Indicates the adjusted feed speed, F old represents the original feed speed, ω is the feed speed adjustment coefficient, ECI is the comprehensive index of environmental changes, S is the hardness coefficient of the aluminum alloy profile, and D is the 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 machining process more efficient and stable. The collaborative control module is responsible for coordinating the work of each module so that each module can cooperate with each other and adapt to complex and changeable processing conditions.

2. The aluminum alloy profile processing system according to claim 1, characterized in that: The environmental monitoring module is used to monitor the processing environment factors in real time, including temperature sensors, humidity sensors, and air pressure sensors. The formula ECI=αT+βH+γP is used to calculate the comprehensive index of environmental changes, where ECI represents the comprehensive index of environmental changes, T represents the temperature value, H represents the humidity value, P represents the air pressure value, and α, β, and γ are weight coefficients.

3. The aluminum alloy profile processing system according to claim 1, characterized in that: The environment monitoring module establishes a dynamic adjustment mechanism for the data acquisition frequency, and automatically adjusts the data acquisition frequency according to the change speed of the processing environment and the processing requirements.

4. The aluminum alloy profile processing system according to claim 1, characterized in that: The parameter adjustment module automatically adjusts the processing parameters according to the data collected by the environmental monitoring module, and the formula V new =V old ×e -λ×ECI Adjust the cutting speed, where V new Indicates the adjusted cutting speed, V old represents the original cutting speed, λ is the adjustment coefficient, and ECI is the comprehensive index of environmental changes.

5. The aluminum alloy profile processing system according to claim 1, characterized in that: The collaborative control module establishes an efficient communication mechanism among the environment monitoring module, the parameter adjustment module and the tool self-adaptation module, and uses bus communication and network communication to enable real-time exchange of data and information among the modules.

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

7. The aluminum alloy profile processing system according to claim 1, characterized in that ,The collaborative control module establishes a fault diagnosis model. When a system fault occurs, the fault cause is ,diagnosed promptly and accurately and corresponding troubleshooting measures are ,taken.

8. The aluminum alloy profile processing system according to claim 6, characterized in that , the collaborative control module uses the formula Dynamically adjust the coordination weight of each module, where W i represents the coordination weight of the i-th module, κ is the weight adjustment coefficient, and ECI i is the comprehensive index of environmental change corresponding to the i-th module.

9. A method for processing aluminum alloy profiles according to any one of claims 1 to 8, characterized in that , the specific steps of the method include: Environmental monitoring: Use the environmental 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 adjustments and tool adaptive adjustments; Automatic parameter adjustment: According to the data collected by the environmental monitoring module, the parameter adjustment module automatically adjusts the processing parameters, including cutting speed, feed rate and cutting depth, to adapt to changes in the processing environment and ensure the stability and quality of the processing process; Tool adaptive adjustment: According to the changes in the processing environment and the hardness, shape and processing requirements of the aluminum alloy profile, the tool angle, edge shape and cutting parameters are comprehensively adjusted through the tool adaptive module. The module can intelligently sense the changes in the processing environment and automatically adjust the tool parameters to adapt to different processing conditions, thereby improving processing efficiency and quality. Intelligent collaborative control: The intelligent collaborative control module coordinates the work of each module, so that environmental monitoring, parameter adjustment and tool adaptive adjustment can be carried out in real time and accurately.

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