Aluminum profile production control method, system and equipment

Abstract

The present application is applicable to the field of aluminum profile production technology, and in particular to aluminum profile production control methods, systems and equipment. The method includes: obtaining production parameters in the aluminum profile production process to provide data support for aluminum profile production control. According to the production parameters in the aluminum profile production process, a characteristic vector of the production parameters is generated and the characteristic vector is normalized, and multiple production parameters are uniformly converted into a comparable form to facilitate subsequent analysis and evaluation. The normalized characteristic vector is weighted according to a preset weight distribution value to obtain a production status evaluation value used to reflect the production quality of the aluminum profile, accurately reflecting the relative importance of each parameter to the production quality of the aluminum profile, and increasing the accuracy of aluminum profile production control. According to the production status evaluation value, the process parameters of the aluminum profile production equipment are adjusted, and the parameters are intelligently adjusted according to different situations to reduce the waste of production resources, improve product quality, and reduce production costs.

Description

Technical Field

[0001] The present application belongs to the technical field of aluminum profile production, and in particular, relates to an aluminum profile production control method, system and equipment. Background Art

[0002] Aluminum profile production refers to the process of processing aluminum materials into aluminum profile products with specific shapes and sizes through a series of processes and operations. Aluminum profiles are widely used in construction, transportation, electronics, machinery manufacturing and other fields, with the advantages of light weight, high strength and corrosion resistance.

[0003] In the existing technology, the management and control of the aluminum profile production process still relies heavily on manual monitoring and decision-making. The processing and analysis of production data often requires a lot of manpower and time. The degree of intelligent management and control in the aluminum profile production process is limited, resulting in waste of production resources, unstable product quality, and increased production costs. Summary of the invention

[0004] The embodiments of the present application provide a method, system and equipment for controlling the production of aluminum profiles, which can solve the problem that the degree of intelligent control in the production process of aluminum profiles is limited, resulting in waste of production resources, unstable product quality and increased production costs.

[0005] In a first aspect, an embodiment of the present application provides an aluminum profile production control method, comprising:

[0006] Obtain production parameters during the aluminum profile production process;

[0007] According to the production parameters in the aluminum profile production process, generating a characteristic vector of the production parameter and normalizing the characteristic vector;

[0008] The normalized feature vector is weighted according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile;

[0009] According to the production status evaluation value, the process parameters of the aluminum profile production equipment are adjusted.

[0010] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0011] The aluminum profile production control method provided in the embodiment of the present application provides data support for aluminum profile production control by obtaining production parameters in the aluminum profile production process. According to the production parameters in the aluminum profile production process, a characteristic vector of the production parameters is generated and the characteristic vector is normalized, and multiple production parameters are uniformly converted into a comparable form to facilitate subsequent analysis and evaluation. The normalized characteristic vector is weighted according to a preset weight distribution value to obtain a production status evaluation value used to reflect the production quality of the aluminum profile, accurately reflecting the relative importance of each parameter to the production quality of the aluminum profile, and increasing the accuracy of aluminum profile production control. According to the production status evaluation value, the process parameters of the aluminum profile production equipment are adjusted, and the parameters are intelligently adjusted according to different situations to optimize the production process, reduce the waste of production resources, improve product quality, and reduce production costs.

[0012] In a possible implementation manner of the first aspect, generating a feature vector of the production parameter according to the production parameter in the aluminum profile production process and normalizing the feature vector includes:

[0013] According to the production parameters in the aluminum profile production process, vector elements of the generated vector are obtained;

[0014] Generate a feature vector of the production parameter according to the vector elements of the generated vector and normalize the feature vector;

[0015] And / or, obtaining the vector elements of the generated vector according to the production parameters in the aluminum profile production process includes:

[0016] Determine the number of types of the production parameters according to the production parameters in the aluminum profile production process;

[0017] At least one vector element of a generated vector is obtained according to the production parameter and the number of types of the production parameter.

[0018] In a possible implementation of the first aspect, weighting the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile includes:

[0019] Performing weighted calculation on the normalized feature vector according to a preset weight distribution value to obtain a weighted feature vector intermediate value;

[0020] Subtracting the intermediate value of the feature vector from a preset threshold value to obtain a first absolute distance reflecting the degree of deviation between the intermediate value of the feature vector and the preset threshold value;

[0021] The first absolute distance is compared with a preset second absolute distance, and when a difference between the first absolute distance and the preset second absolute distance belongs to a preset absolute distance range, the preset second absolute distance is used as a production status evaluation value for reflecting the production quality of the aluminum profile;

[0022] And / or, performing weighted calculation on the normalized feature vector according to a preset weight distribution value to obtain a weighted feature vector intermediate value includes:

[0023] Identify the current production steps in the aluminum profile production process;

[0024] According to the current production step in the aluminum profile production process, determining a preset weight distribution value corresponding to the production step;

[0025] Obtaining a weighted intermediate value of the feature vector according to a preset weight distribution value corresponding to the production step;

[0026] And / or, determining a preset weight distribution value corresponding to the production step according to the current production step in the aluminum profile production process includes:

[0027] According to the production steps in the aluminum profile production process, determining a preset initial weight distribution value of each of the production parameters;

[0028] Acquire duration information of each of the production parameters, and obtain a weight distribution coefficient of each of the production parameters based on the duration information of each of the production parameters;

[0029] According to the initial weight distribution value and the weight distribution coefficient of each production parameter, a preset weight distribution value of each production parameter of the production step is determined.

[0030] In a possible implementation of the first aspect, weighting the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile includes:

[0031] When the difference between the first absolute distance and the preset second absolute distance does not belong to the preset absolute distance value range, the first absolute distance is used as a production status evaluation value for reflecting the production quality of the aluminum profile.

[0032] In a possible implementation of the first aspect, adjusting the process parameters of the aluminum profile production equipment according to the production status evaluation value includes:

[0033] Determining the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters according to the production status evaluation value;

[0034] According to the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter, the process parameters of the aluminum profile production equipment are adjusted.

[0035] In a possible implementation of the first aspect, determining, according to the production status evaluation value, the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter includes:

[0036] Comparing the production status evaluation value with the length value of the value range interval of the preset absolute distance;

[0037] According to the result of comparing the production status evaluation value with the length value of the value range interval of the preset absolute distance, the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter is determined.

[0038] In a possible implementation manner of the first aspect, comparing the production status assessment value with a length value of the value range interval of a preset absolute distance includes:

[0039] Subtracting the extreme values ​​of the value range interval of the preset absolute distance to obtain the length value of the value range interval of the preset absolute distance;

[0040] The length value of the value range interval of the preset absolute distance is compared with the production status evaluation value.

[0041] In a possible implementation of the first aspect, adjusting the process parameters of the aluminum profile production equipment according to the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter includes:

[0042] Determining the adjustment amount of the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected value of the production parameters;

[0043] According to the process parameter adjustment amount of the aluminum profile production equipment, controlling the aluminum profile production equipment to adjust the process parameters in the aluminum profile production process;

[0044] And / or, determining the adjustment amount of the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected value of the production parameters, comprises:

[0045] Determining a difference value of the characteristic vector of the production parameter according to the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter;

[0046] Obtaining a parameter adjustment amount of the production parameter according to a difference value of the characteristic vector of the production parameter;

[0047] According to the parameter adjustment amount of the production parameter, the process parameter adjustment amount of the aluminum profile production equipment is determined.

[0048] In a second aspect, an embodiment of the present application provides an aluminum profile production control system, including:

[0049] An acquisition unit, used for acquiring production parameters in the production process of aluminum profiles;

[0050] A generating unit, used for generating a characteristic vector of the production parameter according to the production parameter in the aluminum profile production process and normalizing the characteristic vector;

[0051] An evaluation unit, used to weight the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile;

[0052] The adjustment unit is used to adjust the process parameters of the aluminum profile production equipment according to the production status evaluation value.

[0053] In a third aspect, an embodiment of the present application provides an aluminum profile production control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements a method as described in any one of the first aspects above when executing the computer program.

[0054] In a fourth aspect, an embodiment of the present application provides a computer program product, which, when executed on a terminal device, enables the terminal device to execute any of the methods described in the first aspect.

[0055] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0057] Figure 1 It is a flow chart of an aluminum profile production control method provided in one embodiment of the present application;

[0058] Figure 2This is a flow chart of step S200 in the aluminum profile production control method provided in one embodiment of the present application;

[0059] Figure 3 It is a flow chart of step S210 of the aluminum profile production control method provided in one embodiment of the present application;

[0060] Figure 4 It is a flow chart of step S300 of the aluminum profile production control method provided in one embodiment of the present application;

[0061] Figure 5 It is a flow chart of step S310 of the aluminum profile production control method provided in one embodiment of the present application;

[0062] Figure 6 It is a flow chart of step S312 of the aluminum profile production control method provided in one embodiment of the present application;

[0063] Figure 7 It is a flow chart of step S400 of the aluminum profile production control method provided in one embodiment of the present application;

[0064] Figure 8 It is a flowchart of step S410 of the aluminum profile production control method provided in one embodiment of the present application;

[0065] Fig. 9 It is a flowchart of step S411 of the aluminum profile production control method provided in one embodiment of the present application;

[0066] Fig.10 It is a flow chart of step S420 of the aluminum profile production control method provided in one embodiment of the present application;

[0067] Fig.11 It is a flow chart of step S421 of the aluminum profile production control method provided in one embodiment of the present application;

[0068] Fig.12 It is a structural schematic diagram of an aluminum profile production control system provided in one embodiment of the present application;

[0069] Fig.13 It is a structural schematic diagram of an aluminum profile production control equipment provided in one embodiment of the present application. DETAILED DESCRIPTION

[0070] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0071] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0072] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0073] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0074] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0075] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0076] In the existing technology, the management and control of the aluminum profile production process still relies heavily on manual monitoring and decision-making. The processing and analysis of production data often requires a lot of manpower and time. The degree of intelligent management and control in the aluminum profile production process is limited, resulting in waste of production resources, unstable product quality, and increased production costs.

[0077] To solve the above problems, the embodiments of the present application provide a method, system and equipment for aluminum profile production control. In the method, data support is provided for aluminum profile production control by obtaining production parameters in the aluminum profile production process. According to the production parameters in the aluminum profile production process, a characteristic vector of the production parameters is generated and the characteristic vector is normalized, and multiple production parameters are uniformly converted into a comparable form to facilitate subsequent analysis and evaluation. The normalized characteristic vector is weighted according to a preset weight distribution value to obtain a production status evaluation value used to reflect the production quality of the aluminum profile, accurately reflecting the relative importance of each parameter to the production quality of the aluminum profile, and increasing the accuracy of aluminum profile production control. According to the production status evaluation value, the process parameters of the aluminum profile production equipment are adjusted, and the parameters are intelligently adjusted according to different situations to optimize the production process, reduce the waste of production resources, improve product quality, and reduce production costs.

[0078] The aluminum profile production control method provided in the embodiment of the present application can be applied to a terminal device. In this case, the terminal device is the executor of the aluminum profile production control method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the terminal device.

[0079] For example, the terminal device can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a smart large screen, a smart TV and other terminal devices, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, etc.

[0080] In order to better understand the aluminum profile production control method provided in the embodiment of the present application, the specific implementation process of the aluminum profile production control method provided in the embodiment of the present application is exemplarily introduced below.

[0081] Figure 1 A schematic flow chart of an aluminum profile production control method provided in an embodiment of the present application is shown, and the aluminum profile production control method includes:

[0082] S100, obtaining production parameters during the production process of aluminum profiles.

[0083] It is understandable that the production parameters in the aluminum profile production process can be obtained through sensors and monitoring equipment. The aluminum profile production process refers to the entire production process from raw materials to final products, including extrusion, heating, cooling, cutting and other links. "Production parameters" refer to various key parameters that need to be monitored and controlled during the production process, such as temperature, pressure, speed, metal composition, etc. By obtaining these production parameters, the state and changes of aluminum profiles in different links can be understood in order to carry out quality control and process adjustment. The acquisition of these production parameters is to achieve the monitoring, optimization and control of the production process, which is conducive to improving the quality and performance of aluminum profiles and reducing resource waste.

[0084] S200, generating a characteristic vector of the production parameters according to the production parameters in the aluminum profile production process and normalizing the characteristic vector.

[0085] It can be understood that generating a feature vector of the production parameters and normalizing the feature vector based on the production parameters in the aluminum profile production process is a data processing method. A feature vector is a vector containing multiple eigenvalues, each of which represents the value or state of a production parameter. For example, a feature vector may include the values ​​of multiple parameters such as temperature, pressure, and speed. Then, this feature vector is normalized. Normalization is a process of mapping data to a specific range or standardization.

[0086] In one possible implementation, see Figure 2 S200 generates a characteristic vector of the production parameters according to the production parameters in the aluminum profile production process and normalizes the characteristic vector, including:

[0087] S210, obtaining vector elements of a generated vector according to production parameters in the aluminum profile production process.

[0088] It can be understood that according to the production parameters in the aluminum profile production process, obtaining the vector elements of the generated vector means obtaining the elements in the feature vector by processing and converting the production parameters. In the aluminum profile production process, the production parameters can be multiple different variables, such as temperature, pressure, speed, etc. These production parameters can represent the state and characteristics of the aluminum profile in different links. The vector elements of the generated vector are to convert these production parameters into the elements in the feature vector. The preset algorithm can be used to process and convert the production parameters according to actual needs and analysis purposes. For example, continuous variables such as temperature, pressure, speed, etc. can be converted into numerical vector elements, or they can be converted into discrete categorical elements. In addition, higher-level features such as mean, variance, frequency, etc. can be extracted from the production parameters through specific algorithms or models.

[0089] Optionally, see Figure 3 , S210, according to the production parameters in the aluminum profile production process, the vector elements of the generated vector are obtained, including:

[0090] S211, determining the number of types of production parameters according to the production parameters in the aluminum profile production process.

[0091] It can be understood that the production parameters in the aluminum profile production process refer to various variables that need to be controlled and monitored in the entire production process consisting of a series of steps from raw material preparation, heating, extrusion molding to cooling, cutting and packaging, such as temperature, pressure, speed, time, metal composition, etc. These parameters directly affect the quality and performance of aluminum profiles. Determining the number of types of production parameters is to identify all production parameters that need to be monitored and controlled, and determine the types of these parameters (for example, temperature is one type, pressure is another type), and the number of these types is the number of types. After completing the identification and classification of parameters, the number of types of production parameters can be determined. The algorithm can be preset to count the number of specific parameters contained in each type of parameter, so as to obtain the number of parameter types that need to be monitored and controlled during the production process. This process is crucial to optimizing the production process, improving product quality and production efficiency. Only by accurately understanding and controlling these production parameters can the production process of aluminum profiles be ensured to be stable and efficient, and the aluminum profiles produced meet the design and use requirements.

[0092] S212: Obtain at least one vector element of a generated vector according to the production parameter and the number of types of the production parameter.

[0093] It can be understood that in the aluminum profile production process, based on the production parameters that have been determined and the number of their types, at least one element of a feature vector can be constructed. Vector elements are the basic components of a vector. In mathematics and physics, a vector consists of a series of numerical values ​​arranged in a certain order, and each numerical value is called a vector element. A vector can have different dimensions, and the number of dimensions depends on the number of elements it contains. For example, a three-dimensional vector consists of three elements and can be expressed as v = (x, y, z), where x, y, and z are the elements of the vector. In data analysis applications, vector elements represent features or attributes in a data set. For example, when processing data from a certain production process, a vector may represent a specific set of production parameters such as temperature, pressure, and speed. The concept of vector elements is very important when processing and analyzing multidimensional data. They provide a way to organize data into an operational and analyzable form. By calculating and manipulating vector elements, various mathematical and statistical analyses can be performed, such as calculating the distance between vectors, performing classification and regression analysis, etc. This helps to determine the relationship between variables in the production process, optimize production parameters, and improve product quality.

[0094] S220, generating a characteristic vector of the production parameter according to the vector elements of the generated vector and normalizing the characteristic vector.

[0095] It can be understood that by generating eigenvectors and performing normalization, multiple production parameters in the aluminum profile production process can be integrated into a unified feature representation, which is convenient for subsequent data analysis, model building and production status evaluation. After obtaining the vector elements based on the production parameters, the next step is to combine these vector elements to form a eigenvector. A eigenvector is a vector containing all the key production parameters, which provides a comprehensive numerical description of the production process. For example, if the most critical parameters in the production process are temperature, pressure and speed, then the values ​​of these three parameters will form a eigenvector, such as μ = (temperature, pressure, speed). Normalization refers to scaling the elements of the eigenvector to a uniform numerical range, usually between 0 and 1 or between -1 and 1. The purpose of this step is to eliminate the possible scale differences between different parameters so that these parameters are comparable in value. Eigenvectors and normalization provide a data basis for the continuous improvement of the production process. By continuously tracking and analyzing eigenvectors, opportunities for improvement can be identified and the production process can be optimized.

[0096] S300, weighting the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile.

[0097] It can be understood that a comprehensive evaluation value reflecting the production quality of aluminum profiles can be generated by weighting the normalized eigenvectors and combining them with the preset weight distribution values. The production status evaluation value is the result of the weighting process. It is a numerical value used to reflect the production quality of aluminum profiles. By calculating the sum of the weighted eigenvector elements or other statistics, a comprehensive evaluation value, namely the production status evaluation value, is obtained. This evaluation value can reflect the production status in the aluminum profile production process, so as to adjust the production strategy in time and ensure and improve product quality.

[0098] In one possible implementation, see Figure 4 , S300, weighting the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile, including:

[0099] S310, performing weighted calculation on the normalized feature vector according to a preset weight distribution value to obtain a weighted feature vector intermediate value.

[0100] It can be understood that by performing weighted calculation on the normalized feature vector according to the preset weight distribution value, the preset weight value can be used to assign different importance to each element of the feature vector. These weight values ​​can be adjusted according to specific needs and goals to highlight certain features or reduce the impact of other features. Through weighted calculation, the weighted feature vector median value can be obtained, and the result obtained by weighted calculation can be regarded as the "feature vector median value". This value is the representative value of the feature vector after weight adjustment, reflecting the comprehensive situation of the weighted feature vector.

[0101] Optionally, see Figure 5 , S310, performing weighted calculation on the normalized feature vector according to a preset weight distribution value to obtain a weighted feature vector intermediate value, including:

[0102] S311, Identify the current production step in the aluminum profile production process.

[0103] It is understandable that due to the dynamic nature of the aluminum profile production process, the importance of each parameter in each different production step is different. Therefore, in order to accurately determine the importance of each production parameter, it is necessary to distinguish different production parameters. The current production step in the aluminum profile production process can be identified based on the data characteristics of the production parameters or machine algorithms.

[0104] S312, determining a preset weight distribution value corresponding to the production step according to the current production step in the aluminum profile production process.

[0105] It can be understood that according to the different importance of each parameter in each different production step, a different weight value can be assigned to the importance of each production parameter to represent the importance of each parameter in the current production step.

[0106] For example, see Figure 6 , S312, determining a preset weight distribution value corresponding to the production step according to the current production step in the aluminum profile production process, including:

[0107] S3121, determining an initial weight distribution value of each preset production parameter according to the production steps in the aluminum profile production process.

[0108] It can be understood that, based on historical experience data, etc., a preliminary assessment of the relative importance of each parameter in different production steps of the aluminum profile production process can be given. The results of subjective methods or objective methods (such as design experiments or data analysis, etc.) can be used to manually preset the initial weight distribution value of each production parameter, so as to assign an initial weight value to each production parameter according to the determined parameter importance. The initial weight distribution can be based on methods such as data acquisition and related data analysis, and can also be set according to actual needs. Assuming there are n production parameters, an n-dimensional vector w=[w1,w2,...,w n ] to represent the weight value of each parameter. i Represents the weight value of the i-th parameter. Based on historical experience data or expert judgment, an initial weight value can be assigned to each parameter. For example, if there are 3 production parameters, it can be expressed as w=[w1,w2,w3], where w1 represents the weight value of the first parameter, w2 represents the weight value of the second parameter, and w3 represents the weight value of the third parameter. In mathematical methods, different techniques can be used to determine the initial weight assignment value, such as Analytic Hierarchy Process (AHP) or Principal Component Analysis (PCA). These weight values ​​should reflect the relative importance of each parameter in the entire production process.

[0109] S3122, obtaining the duration information of each production parameter, and based on the duration information of each production parameter, obtaining the weight distribution coefficient of each production parameter.

[0110] It can be understood that for each production parameter (temperature, speed, pressure, etc.) that has been identified, its duration in the actual production process can be recorded. Sensors or data acquisition equipment can be used to monitor the state of each parameter and record its duration. The weight distribution coefficient is the parameter weight distribution adjustment value of the real-time dynamic process. The duration of each production parameter can be normalized. This can be achieved by dividing the duration of each parameter by the total duration, and taking the ratio of the duration information of the production parameter in the process to the duration of all production parameters as the weight distribution coefficient of the production parameter. For example, for a production process containing two parameters A and B, the duration of parameter A is t1=x, and the duration of parameter B is t2=y, then the total duration T=t1+t2, and the corresponding weight distribution coefficient of parameter A is α=t1 / T=x / (x+y), and the corresponding weight distribution coefficient of parameter B is β=t2 / T=y / (x+y). According to the normalized duration information, the weight distribution coefficient of each production parameter is calculated. The normalized duration can be used as the weight distribution coefficient, or further weighted calculation can be performed to obtain the relative importance adjustment coefficient of the parameter.

[0111] S3123, determining a preset weight distribution value for each production parameter of the production step according to the initial weight distribution value and the weight distribution coefficient of each production parameter.

[0112] It can be understood that the initial weight distribution value of each production parameter and the weight distribution coefficient can be multiplied or further adjusted to represent the impact of dynamic factors in the aluminum profile production process on each parameter, and determine the preset weight distribution value of each production parameter of the production step. Weight distribution provides a quantifiable and standardized method, and can eliminate the impact of dynamic factors based on the weight coefficient, assign reasonable weight distribution to different production steps, and ensure that key steps are properly valued and controlled. This helps to optimize resource allocation, improve production efficiency, reduce waste and reduce production costs.

[0113] S313, obtaining a weighted intermediate value of the feature vector according to the preset weight distribution value corresponding to the production step.

[0114] It can be understood that the weighted distribution value of the determined production parameters can be obtained by a preset algorithm to obtain the weighted feature vector intermediate value. Assuming that there are n production parameters, an n-dimensional vector w=[w1,w2,...,w n ] to represent the weight value of each parameter. Then, for each production parameter, there is a feature vector x=[x1,x2,...,x n ], where x irepresents the eigenvalue of the i-th parameter. Next, calculate the weighted intermediate value Y of the eigenvector. The weighted average method can be used to multiply the eigenvalue of each parameter by the corresponding weight value and sum the results. That is, calculate y=w*x, where * represents the dot product operation of the vector. In this way, the obtained intermediate value y can represent the intermediate value of the weighted eigenvector, reflecting the influence of the preset weight distribution value on the eigenvector.

[0115] S320: Subtract the intermediate value of the feature vector from a preset threshold value to obtain a first absolute distance used to reflect the degree of deviation between the intermediate value of the feature vector and the preset threshold value.

[0116] It can be understood that the middle value of the feature vector is compared with the preset threshold value. By calculating the difference between them, a numerical value can be obtained, which reflects the degree of deviation between the middle value of the feature vector and the preset threshold value. This numerical value is called the first absolute distance. By calculating the first absolute distance, the degree of difference between the feature vector and the preset threshold value can be understood.

[0117] S330, compare the first absolute distance with the preset second absolute distance, and when the difference between the first absolute distance and the preset second absolute distance belongs to the value range of the preset absolute distance, use the preset second absolute distance as a production status evaluation value for reflecting the production quality of the aluminum profile.

[0118] It can be understood that the second absolute distance refers to another distance value used in the production quality assessment of aluminum profiles. Similar to the first absolute distance, the second absolute distance is also a value obtained by calculating the feature vector. It is associated with a preset standard or threshold and is used to evaluate the production status of the aluminum profile. The second absolute distance is an expected value set according to the production quality requirements or standards of the aluminum profile. It can be a fixed value or a range of values. By calculating the difference between the feature vector and the preset second absolute distance, and judging whether the difference is within the preset value range, it can be evaluated whether the production quality of the aluminum profile meets the requirements. By comparing the first absolute distance and the second absolute distance, the production quality status evaluation value of the aluminum profile can be obtained. If the difference between the first absolute distance and the second absolute distance is within the preset value range, the production quality of the aluminum profile can be evaluated as good. On the contrary, if the difference exceeds the preset value range, there may be a production quality problem. Such an evaluation method can help monitor and improve the production quality of aluminum profiles.

[0119] In a possible implementation, S300, weighting the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile, further includes:

[0120] S340: When the difference between the first absolute distance and the preset second absolute distance does not belong to the preset absolute distance value range, the first absolute distance is used as a production status evaluation value for reflecting the production quality of the aluminum profile.

[0121] It can be understood that when the first absolute distance is used as a production status evaluation value reflecting the production quality of aluminum profiles, it indicates the degree of deviation between the production quality of aluminum profiles and the preset standard or threshold. A smaller first absolute distance value generally indicates that the production quality of aluminum profiles is better and closer to the preset standard or threshold. A larger first absolute distance value may mean that there is a large deviation or problem in the production quality of aluminum profiles. By using the first absolute distance as a production status evaluation value, the production quality status of aluminum profiles can be understood in a timely manner, the quality of aluminum profiles can be effectively monitored, and timely measures can be taken to improve the production status. By continuously optimizing the production process, it is possible to ensure that the quality of aluminum profiles meets the expected standards, thereby improving the quality.

[0122] S400, adjusting the process parameters of the aluminum profile production equipment according to the production status evaluation value.

[0123] It can be understood that adjusting the process parameters of the aluminum profile production equipment according to the production status evaluation value means adjusting the process parameters of the production equipment according to the production status evaluation results of the aluminum profile. The process parameters of the production equipment refer to the various parameters of the production equipment that are controlled and adjusted during the production process of the aluminum profile to ensure that the quality and performance of the product meet the expected standards. These parameters may include temperature, pressure, speed, etc. According to the production status evaluation value, the production quality status of the aluminum profile can be understood. If the evaluation value indicates that there is a deviation or problem in the quality of the aluminum profile, the process parameters of the production equipment can be adjusted according to the evaluation results. By adjusting the process parameters, the production process can be optimized to improve the production quality of the aluminum profile. For example, the temperature or pressure can be adjusted to control the hardness or strength of the aluminum profile, and the speed can be adjusted to control the dimensional accuracy of the aluminum profile. Such adjustments can help respond to the quality status of the aluminum profile in real time during the production process to improve the consistency and compliance of the product. By continuously adjusting and optimizing the process parameters, the production efficiency and quality of the aluminum profile can be improved to meet customer needs and enhance competitiveness.

[0124] In one possible implementation, see Figure 7 , S400, adjust the process parameters of the aluminum profile production equipment according to the production status evaluation value, including:

[0125] S410, determining the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters according to the production status evaluation value.

[0126] It can be understood that the production quality status of aluminum profiles can be understood based on the production status evaluation value. The actual production parameters in the aluminum profile production process can be compared with the expected production parameter values, and the difference between them can be calculated. By calculating the difference between the production parameters and the expected production parameter values, the degree of deviation between the actual production parameters and the expected parameters can be understood. This difference can evaluate the parameter control in the aluminum profile production process and find potential problems or room for improvement.

[0127] Optionally, see Figure 8 , S410, determining the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters according to the production status evaluation value, including:

[0128] S411, comparing the production status evaluation value with the length value of the preset absolute distance range.

[0129] It can be understood that by comparing the production status evaluation value with the length value of the preset absolute distance range, the degree of difference between the evaluation value and the expected range can be understood. If the evaluation value is close to or equal to the length value of the range, it means that the production quality of the aluminum profile is basically consistent with the expected standard or threshold. If the evaluation value is significantly different from the length value of the range, it may mean that the production quality of the aluminum profile is significantly different from the expected standard.

[0130] For example, see Fig. 9 , S411, comparing the production status evaluation value with the length value of the preset absolute distance range, including:

[0131] S4111, subtract the extreme values ​​of the preset range of absolute distance to obtain the length value of the preset range of absolute distance.

[0132] It can be understood that the extreme values ​​of the preset absolute distance range interval can be subtracted to obtain the length value of the preset absolute distance range interval. The difference between the upper limit value and the lower limit value of the preset absolute distance range interval is calculated to determine the length value of the range interval. The preset absolute distance range interval is a numerical range set according to the expected production quality requirements or standards, which is used to determine whether the production quality of the aluminum profile meets the requirements. By calculating the difference between the extreme values ​​of the range interval, the length of this range can be understood, that is, the length value of the preset absolute distance range interval.

[0133] S4112, comparing the length value of the preset absolute distance range with the production status evaluation value.

[0134] It can be understood that the quotient of the production status evaluation value can be compared with the length value of the value range interval of the preset absolute distance. By comparing the quotient of the production status evaluation value and the length value of the value range interval, the degree of difference between the evaluation value and the preset range can be understood. If the quotient is close to or equal to 1, it means that the production quality of the aluminum profile is basically consistent with the expected standard or threshold. Such a comparison can determine whether the production quality status of the aluminum profile meets the expected requirements. By comparing the quotient of the production status evaluation value and the length value of the value range interval, the degree of deviation between the production quality of the aluminum profile and the expected standard can be understood. According to the degree of deviation, appropriate measures can be taken to adjust the production process to improve the quality of the aluminum profile.

[0135] S412, determining the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters according to the result of comparing the production status evaluation value with the length value of the preset absolute distance range.

[0136] It can be understood that the difference between the production parameters and the expected values ​​of the production parameters in the aluminum profile production process can be determined based on the result of comparing the production status evaluation value with the length value of the preset absolute distance range. The difference between the production parameters and the expected values ​​of the production parameters represents the degree of deviation between the actual production parameters and the expected values. For example, assuming that the production parameter is temperature, the length value of the preset absolute distance range is A. If the production status evaluation value is B, then the quotient can be calculated as B / A*100%. This means that the deviation of the actual temperature from the expected value is B / A times, the difference is, and the difference is larger B / A*100%. According to the size of the difference, corresponding measures can be taken to adjust the production process to reduce the difference between the production parameters and the expected values, thereby improving the quality of the aluminum profile. For example, in the above example, the temperature control can be adjusted to be close to the expected value, thereby reducing the difference.

[0137] S420, adjusting the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters.

[0138] It can be understood that the process parameters of the aluminum profile production equipment are adjusted based on the difference between the production parameters and the expected values ​​of the production parameters in the aluminum profile production process. By analyzing the difference between the production parameters and the expected values, it can be determined which process parameters need to be adjusted to improve the production quality of the aluminum profile. According to the analysis results of the difference, the process parameters of the production equipment can be adjusted accordingly. For example, if the difference is large, it means that there is a large deviation between the actual production parameters and the expected values, and it may be necessary to adjust parameters such as temperature, pressure or speed to improve the production quality of the aluminum profile. By adjusting the process parameters, the production process of the aluminum profile can be optimized so that the actual production parameters are closer to the expected values, thereby improving the quality and consistency of the aluminum profile.

[0139] Optionally, see Fig.10 S420, adjusting the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters, including:

[0140] S421, determining the adjustment amount of the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters.

[0141] It can be understood that by comparing the difference between the actual production parameters and the expected values, the degree of deviation between the actual production parameters and the expected parameters can be understood. This difference can help determine the amount of process parameters that need to be adjusted. According to the analysis results of the difference, the amount of process parameters that need to be adjusted can be determined. If the difference is large, it means that there is a large deviation between the actual production parameters and the expected values, and a larger adjustment may be required to make the actual parameters close to the expected values. If the difference is small, only fine-tuning may be required. By adjusting the amount of process parameters, the production process of aluminum profiles can be optimized, so that the actual production parameters are closer to the expected values, thereby improving the quality and consistency of aluminum profiles.

[0142] For example, see Fig.11 , S421, determining the adjustment amount of the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters, including:

[0143] S4211, determining the difference value of the characteristic vector of the production parameter according to the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter.

[0144] It can be understood that the difference between the production parameters and the expected values ​​of the production parameters in the aluminum profile production process can be compared with the characteristic vector of the expected production parameter value, and the difference between the characteristic vector of the expected production parameter value and the characteristic vector of the actual production parameter can be obtained, that is, the difference between each production parameter and its expected value can be obtained, that is, the difference value of the characteristic vector element. This difference value can be used to understand which parameters deviate from expectations in the production process and the degree of deviation.

[0145] S4212, obtaining the parameter adjustment amount of the production parameter according to the difference value of the characteristic vector of the production parameter.

[0146] It can be understood that the parameter adjustment amount of the production parameter refers to the degree of adjustment of the production parameter in order to make the actual parameter value in the production process close to or reach the preset expected parameter value. Production parameters may include temperature, pressure, speed, time, etc., which are essential to ensure product quality and production efficiency. The result of the difference value of the characteristic vector element can be used as the parameter adjustment amount. The determination of the parameter adjustment amount is usually based on the evaluation of the current production status, including the difference analysis between the actual parameter value and the expected parameter value. This difference analysis helps to identify which parameters need to be adjusted, as well as the direction (increase or decrease) and amplitude of the adjustment. For example, if the actual temperature in the production process is lower than the expected temperature, the parameter adjustment amount will indicate how much the temperature needs to be increased to reach the expected value. Conversely, if the actual temperature is higher than the expected temperature, the adjustment amount will indicate how much the temperature needs to be reduced. The purpose of determining the parameter adjustment amount is to optimize the production process, ensure that the product quality meets the standard, and improve production efficiency and resource utilization. By accurately adjusting the production parameters, it is possible to reduce resource waste in the production process, improve product consistency and reliability, and ultimately achieve the purpose of improving production performance.

[0147] S4213, determining the process parameter adjustment amount of the aluminum profile production equipment according to the parameter adjustment amount of the production parameter.

[0148] It can be understood that the process parameter adjustment amount of the aluminum profile production equipment is to determine what specific adjustments need to be made to the production equipment based on these parameter adjustments. This includes adjusting the temperature setting, pressure level, operating speed, etc. of the equipment to ensure that the production process meets the quality requirements. This process involves converting the theoretical adjustment amount into the actual parameters that the equipment needs to be adjusted for operation. For example, if the analysis shows that the production temperature needs to be increased by 5°C to achieve the desired production quality, the process parameter adjustment amount of the production equipment can be to adjust the temperature setting of the equipment by 5°C or increase the operating time of the equipment by a specific value to increase the production temperature by 5°C. This can be achieved in the form of a preset mapping table relationship or a conversion algorithm to ensure the accurate execution of the adjustment amount so that the production process can be optimized according to the analysis results, which helps to improve product quality, and also helps to improve production efficiency and resource utilization, and ultimately achieve higher production performance.

[0149] S422, according to the process parameter adjustment amount of the aluminum profile production equipment, controlling the aluminum profile production equipment to adjust the process parameters in the aluminum profile production process.

[0150] It can be understood that the process parameter adjustment of the aluminum profile production equipment obtained based on the monitoring and evaluation of the production process can be converted into specific operating instructions. According to the set adjustment instructions, the production equipment can be operated to adjust the process parameters. This step may require direct intervention by the operator, or be completed through automatic control or remote control. After the adjustment is completed, the production process can continue to be monitored to ensure that the adjustment has achieved the desired effect. It may include checking indicators such as product quality, production efficiency and resource utilization. Through this process, it can be ensured that the production process of aluminum profiles can flexibly adapt to changes in production conditions, and adjust process parameters in time to ensure product quality and production efficiency, reduce waste of production resources, improve product quality, and reduce production costs.

[0151] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0152] Corresponding to the aluminum profile production control method described in the above embodiment, the embodiment of the present application also provides an aluminum profile production control system, and each unit of the system can implement each step of the aluminum profile production control method. Fig.12 A structural block diagram of an aluminum profile production control system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0153] Reference Fig.12 , the aluminum profile production control system includes:

[0154] An acquisition unit, used for acquiring production parameters in the production process of aluminum profiles;

[0155] A generating unit, used for generating a characteristic vector of the production parameter according to the production parameter in the aluminum profile production process and normalizing the characteristic vector;

[0156] An evaluation unit, used to weight the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile;

[0157] The adjustment unit is used to adjust the process parameters of the aluminum profile production equipment according to the production status evaluation value.

[0158] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0159] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit module can exist physically separately, or two or more unit modules can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0160] The present application also provides an aluminum profile production control device, Fig.13 This is a schematic diagram of the structure of the aluminum profile production control equipment provided in one embodiment of the present application. Fig.13 As shown, the aluminum profile production control device 6 of this embodiment includes: at least one processor 60 ( Fig.13 Only one is shown), at least one memory 61 ( Fig.13 Only one is shown in the figure) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the aluminum profile production control device 6 implements the steps in any of the above-mentioned aluminum profile production control method embodiments, or the aluminum profile production control device 6 implements the functions of each unit in the above-mentioned device embodiments.

[0161] Exemplarily, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the aluminum profile production control device 6.

[0162] The aluminum profile production control device 6 can be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The aluminum profile production control device can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Fig.13It is only an example of the aluminum profile production control device 6 and does not constitute a limitation on the aluminum profile production control device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0163] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0164] In some embodiments, the memory 61 may be an internal storage unit of the aluminum profile production control device 6, such as a hard disk or memory of the aluminum profile production control device 6. In other embodiments, the memory 61 may also be an external storage device of the aluminum profile production control device 6, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the aluminum profile production control device 6. Further, the memory 61 may also include both the internal storage unit of the aluminum profile production control device 6 and an external storage device. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0165] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0166] An embodiment of the present application provides a computer program product. When the computer program product is run on an aluminum profile production control device, the aluminum profile production control device implements the steps in any of the above-mentioned method embodiments.

[0167] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the terminal device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electric carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0168] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0169] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0170] In the embodiments provided in the present application, it should be understood that the disclosed aluminum profile production control system / aluminum profile production control equipment and method can be implemented in other ways. For example, the aluminum profile production control system / aluminum profile production control equipment embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0171] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0172] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for controlling the production of aluminum profiles, characterized in that: include: Obtain production parameters during the aluminum profile production process; According to the production parameters in the aluminum profile production process, generating a characteristic vector of the production parameter and normalizing the characteristic vector; The normalized feature vector is weighted according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile; According to the production status evaluation value, adjusting the process parameters of the aluminum profile production equipment; The step of generating a characteristic vector of the production parameter according to the production parameter in the aluminum profile production process and normalizing the characteristic vector includes: According to the production parameters in the aluminum profile production process, vector elements of the generated vector are obtained; Generate a feature vector of the production parameter according to the vector elements of the generated vector and normalize the feature vector; The step of obtaining the vector elements of the generated vector according to the production parameters in the aluminum profile production process includes: Determine the number of types of the production parameters according to the production parameters in the aluminum profile production process; Obtaining at least one vector element of a generated vector according to the production parameter and the number of types of the production parameter; The normalized feature vector is weighted according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile, including: Performing weighted calculation on the normalized feature vector according to a preset weight distribution value to obtain a weighted feature vector intermediate value; Subtracting the intermediate value of the feature vector from a preset threshold value to obtain a first absolute distance reflecting the degree of deviation between the intermediate value of the feature vector and the preset threshold value; The first absolute distance is compared with a preset second absolute distance, and when a difference between the first absolute distance and the preset second absolute distance belongs to a preset absolute distance range, the preset second absolute distance is used as a production status evaluation value for reflecting the production quality of the aluminum profile; The step of performing weighted calculation on the normalized feature vector according to a preset weight distribution value to obtain a weighted feature vector intermediate value includes: Identify the current production steps in the aluminum profile production process; According to the current production step in the aluminum profile production process, determining a preset weight distribution value corresponding to the production step; Obtaining a weighted intermediate value of the feature vector according to a preset weight distribution value corresponding to the production step; Determining the preset weight distribution value corresponding to the production step according to the current production step in the aluminum profile production process includes: According to the production steps in the aluminum profile production process, determining a preset initial weight distribution value of each of the production parameters; Acquire duration information of each of the production parameters, and obtain a weight distribution coefficient of each of the production parameters based on the duration information of each of the production parameters; Determining a preset weight distribution value for each of the production parameters of the production step according to the initial weight distribution value and the weight distribution coefficient of each of the production parameters; The step of weighting the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile also includes: In the case where the difference between the first absolute distance and the preset second absolute distance does not belong to the preset absolute distance value range, the first absolute distance is used as a production status evaluation value for reflecting the production quality of the aluminum profile; The step of adjusting the process parameters of the aluminum profile production equipment according to the production status evaluation value includes: Determining the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters according to the production status evaluation value; According to the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter, adjusting the process parameters of the aluminum profile production equipment; Determining the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter according to the production status evaluation value includes: Comparing the production status evaluation value with the length value of the value range interval of the preset absolute distance; Determine the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter according to the result of comparing the production status evaluation value with the length value of the value range of the preset absolute distance; The comparing the production status evaluation value with the length value of the value range interval of the preset absolute distance includes: Subtracting the extreme values ​​of the value range interval of the preset absolute distance to obtain the length value of the value range interval of the preset absolute distance; Compare the length value of the value range of the preset absolute distance with the production status assessment value; The adjusting the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected values ​​of the production parameters includes: Determining the adjustment amount of the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected value of the production parameters; According to the process parameter adjustment amount of the aluminum profile production equipment, controlling the aluminum profile production equipment to adjust the process parameters in the aluminum profile production process; The step of determining the adjustment amount of the process parameters of the aluminum profile production equipment according to the difference between the production parameters in the aluminum profile production process and the expected value of the production parameters includes: Determining a difference value of the characteristic vector of the production parameter according to the difference between the production parameter in the aluminum profile production process and the expected value of the production parameter; Obtaining a parameter adjustment amount of the production parameter according to a difference value of the characteristic vector of the production parameter; According to the parameter adjustment amount of the production parameter, the process parameter adjustment amount of the aluminum profile production equipment is determined.

2. An aluminum profile production control system, characterized in that: For implementing the method described in claim 1, the aluminum profile production control system comprises: An acquisition unit, used for acquiring production parameters in the production process of aluminum profiles; A generating unit, used for generating a characteristic vector of the production parameter according to the production parameter in the aluminum profile production process and normalizing the characteristic vector; An evaluation unit, used to weight the normalized feature vector according to a preset weight distribution value to obtain a production status evaluation value for reflecting the production quality of the aluminum profile; The adjustment unit is used to adjust the process parameters of the aluminum profile production equipment according to the production status evaluation value.

3. An aluminum profile production control device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to claim 1 is implemented.

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