Production quality monitoring system based on aluminum alloy production

Abstract

The invention relates to the technical field of aluminum alloy production quality monitoring, and particularly discloses a production quality monitoring system based on aluminum alloy production. Comprising a region division module, an aluminum alloy data acquisition module, an aluminum alloy data preprocessing module, an aluminum alloy data analysis module, an aluminum alloy production quality analysis module, an aluminum alloy data comprehensive analysis module, an aluminum alloy production quality evaluation module and a user interface module. According to the method, aluminum alloy data are collected in real time and preprocessed, the aluminum alloy tensile strength conformity coefficient, the aluminum alloy yield strength conformity coefficient and the aluminum alloy surface integrity coefficient are obtained through analysis, and then the aluminum alloy production quality evaluation index is obtained through analysis; the aluminum alloy production quality is analyzed, the aluminum alloy production efficiency and the product quality can be improved, the production cost and the labor cost can also be reduced, and remarkable economic benefits and social benefits are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of aluminum alloy production quality monitoring, and in particular to a production quality monitoring system based on aluminum alloy production. Background Art

[0002] As a high-performance material, aluminum alloy plays a vital role in many industrial fields, including aerospace, automobile manufacturing, rail transportation, construction, electronic equipment, etc. The excellent properties of aluminum alloy, such as light weight, high strength, good corrosion resistance and processability, make it an ideal choice to replace traditional materials. However, the realization of these properties is highly dependent on strict quality control.

[0003] In the traditional aluminum alloy production quality monitoring system, the quality control of aluminum alloy products mainly relies on the combination of manual inspection and basic automated inspection equipment. The staff directly observes with the naked eye to carefully check whether there are obvious defects such as cracks, pores, slag inclusions or scratches on the surface of the aluminum alloy to evaluate its apparent quality. At the same time, they use precision measuring tools such as vernier calipers and micrometers to accurately measure the dimensions of aluminum alloy components to ensure that they meet the design specifications. In terms of hardness testing, portable hardness testers, such as Brinell hardness testers or Rockwell hardness testers, are used to test in specific areas to check whether the hardness of the material meets the standard. In addition, in order to ensure that the chemical composition of the aluminum alloy meets the standard, a spectrometer is used to monitor and analyze the chemical composition of the material in detail.

[0004] However, there are still some shortcomings in its actual use. For example, the existing monitoring systems often rely on manual operation, which is easily affected by subjective judgment and human errors, and it is difficult to meet the needs of modern manufacturing for high precision, high efficiency and continuous production; simple automated testing equipment can often only monitor some parameters and cannot fully reflect product quality, resulting in potential quality problems not being corrected in a timely manner; in addition, although these traditional monitoring methods can provide basic information about the appearance, size, hardness and chemical composition of aluminum alloys, they do not directly cover real-time monitoring of the mechanical properties of aluminum alloys (such as tensile strength and yield strength). Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a production quality monitoring system based on aluminum alloy production to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a production quality monitoring system based on aluminum alloy production, comprising a regional division module, an aluminum alloy data acquisition module, an aluminum alloy data preprocessing module, an aluminum alloy data analysis module, an aluminum alloy production quality analysis module, an aluminum alloy data comprehensive analysis module, an aluminum alloy production quality assessment module and a user interface module.

[0007] Area division module: used to determine a batch of aluminum alloy finished products as the target area, divide it into monitoring sub-areas according to the division method of a single aluminum alloy, and number them as 1, 2, ..., n in sequence; i∈(1, 2, ..., n);

[0008] Aluminum alloy data acquisition module: including aluminum alloy tensile strength information acquisition unit, aluminum alloy yield strength information acquisition unit and aluminum alloy surface information acquisition unit. Each acquisition unit is used to collect aluminum alloy comprehensive parameters of each monitoring sub-area and transmit the collected comprehensive parameters to the aluminum alloy data preprocessing module;

[0009] Aluminum alloy data preprocessing module: used for preprocessing the aluminum alloy comprehensive parameters collected by the aluminum alloy data collection module, and transmitting the preprocessed data to the aluminum alloy data analysis module;

[0010] Aluminum alloy data analysis module: including aluminum alloy tensile strength analysis unit, aluminum alloy yield strength analysis unit and aluminum alloy surface analysis unit, imports the data transmitted by the aluminum alloy data preprocessing module into the corresponding analysis unit mathematical model, calculates the aluminum alloy tensile strength compliance coefficient, aluminum alloy yield strength compliance coefficient and aluminum alloy surface integrity coefficient of each monitoring sub-area, and transmits the calculation results to the aluminum alloy production quality analysis module;

[0011] Aluminum alloy production quality analysis module: used to compare the data transmitted by the aluminum alloy data analysis module with the preset value to determine whether there is an abnormality, and make production adjustments to the abnormal area;

[0012] Aluminum alloy data comprehensive analysis module: Based on the data obtained after comparison and judgment by the aluminum alloy production quality analysis module, a mathematical model is established to calculate the aluminum alloy production quality evaluation index of the target area, and the index is transmitted to the aluminum alloy production quality evaluation module;

[0013] Aluminum alloy production quality assessment module: used to compare and analyze the aluminum alloy production quality assessment index calculated by the aluminum alloy data comprehensive analysis module with a preset production quality assessment index threshold, obtain a judgment result, and transmit the judgment result to the user interface module;

[0014] User interface module: used to receive aluminum alloy production quality analysis reports and early warning information, intuitively display them through the user interface, and provide production suggestions and safety warnings to managers and production personnel.

[0015] Preferably, the aluminum alloy tensile strength information acquisition unit is used to collect the aluminum alloy tensile strength parameters of each monitoring sub-area, including the aluminum alloy length, the aluminum alloy length after stretching, the aluminum alloy maximum tensile force, the aluminum alloy cross-sectional area and the preset standard tensile strength; the aluminum alloy yield strength information acquisition unit is used to collect the aluminum alloy yield strength parameters of each monitoring sub-area, including the measured aluminum alloy yield strength at temperature T, the preset standard aluminum alloy yield strength, the aluminum alloy temperature and the ambient temperature; the aluminum alloy surface information acquisition unit is used to collect the aluminum alloy surface parameters of each monitoring sub-area, including the aluminum alloy surface defect area, aluminum alloy area, aluminum alloy surface defect length, aluminum alloy surface defect depth and the number of aluminum alloy surface defects.

[0016] Preferably, the aluminum alloy data preprocessing module preprocesses the collected data by performing noise reduction, outlier detection and outlier processing on the data through existing filtering technology, and cleans the data to standardize all numerical variables.

[0017] Preferably, the calculation steps of the aluminum alloy tensile strength compliance coefficient of each monitoring sub-area are as follows:

[0018] Step S01: Calculate the elongation of the aluminum alloy. The calculation model is as follows:

[0019]

[0020] Among them, Aer i Expressed as the aluminum alloy elongation of the ith monitoring sub-area, La i It is expressed as the length of aluminum alloy in the ith monitoring sub-area, Ld i It is represented as the length of the aluminum alloy after stretching in the i-th monitoring sub-area;

[0021] Step S02: Measure the tensile strength of the aluminum alloy. Place the aluminum alloy material on a tensile testing machine and apply tensile force until the material breaks, thereby measuring the maximum tensile force Pt of the aluminum alloy material. At the same time, record the cross-sectional area Ca of the aluminum alloy material and use the formula Ts i =Pt i / Ca i The tensile strength of aluminum alloy in the i-th monitoring sub-area is calculated;

[0022] Step S03: Calculate the aluminum alloy tensile strength compliance coefficient, and the calculation model is as follows:

[0023]

[0024] Among them, SCC iIt is expressed as the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area, Aer i Expressed as the aluminum alloy elongation of the ith monitoring sub-area, Pt i It is expressed as the maximum tensile stress of aluminum alloy in the ith monitoring sub-area, Ca i It is represented as the cross-sectional area of ​​aluminum alloy in the ith monitoring sub-area, and Ts0 is represented as the preset standard tensile strength.

[0025] Preferably, the calculation steps of the aluminum alloy yield strength compliance coefficient of each monitoring sub-area are as follows:

[0026] Step S01: Establish a mathematical model for the change of the measured aluminum alloy yield strength under the influence of temperature as follows:

[0027]

[0028] Among them, YS(T i ) i It is represented by the measured aluminum alloy yield strength of the ith monitoring sub-area at temperature T, Ys0 is represented by the preset standard aluminum alloy yield strength, T i It is represented as the aluminum alloy temperature of the i-th monitoring sub-area, and T0 is represented as the ambient temperature;

[0029] Step S02: Calculate the aluminum alloy yield strength compliance coefficient, the calculation model is as follows:

[0030]

[0031] Among them, YSC i It is expressed as the aluminum alloy yield strength compliance coefficient of the ith monitoring sub-area, YS(T i ) i It is represented by the measured aluminum alloy yield strength of the ith monitoring sub-area at temperature T, and Ys0 is represented by the preset standard aluminum alloy yield strength.

[0032] Preferably, the calculation model of the aluminum alloy surface integrity coefficient of each monitoring sub-area is as follows:

[0033]

[0034] Among them, ACC i Expressed as the aluminum alloy surface integrity coefficient of the ith monitoring sub-area, Sa ij It is expressed as the aluminum alloy surface defect area of ​​the jth defect in the ith monitoring sub-area, Aa i It is represented by the aluminum alloy area of ​​the ith monitoring sub-area, Al ij It is expressed as the aluminum alloy surface defect length of the jth defect in the ith monitoring sub-area, Ad ijIt is represented as the aluminum alloy surface defect depth of the jth defect in the ith monitoring sub-area, and m is represented as the number of aluminum alloy surface defects, where j∈(1, 2, …, m).

[0035] Preferably, the aluminum alloy production quality analysis module compares the data transmitted by the aluminum alloy data analysis module with the preset value in the following specific manner:

[0036] Extract the aluminum alloy tensile strength compliance coefficient SCC of each monitoring sub-area in the target area i , and the fluctuation coefficient formula of aluminum alloy tensile strength variation in each monitoring sub-area within the target area is obtained: Among them, SCC 预 It is represented by the preset aluminum alloy tensile strength compliance coefficient threshold. If the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area is less than the preset aluminum alloy tensile strength compliance coefficient threshold, it is judged that the aluminum alloy tensile strength is abnormal, and the abnormal result is sent to the management personnel and production personnel, and an early warning signal is issued. Otherwise, it indicates that the aluminum alloy tensile strength is normal.

[0037] Extract the aluminum alloy yield strength compliance coefficient YSC of each monitoring sub-area in the target area i , and the fluctuation coefficient formula of aluminum alloy yield strength variation in each monitoring sub-area within the target area is obtained:

[0038] Among them, YSC 预 It is represented by the preset aluminum alloy yield strength compliance coefficient threshold. If the aluminum alloy yield strength compliance coefficient of the i-th monitoring sub-area is less than the preset aluminum alloy yield strength compliance coefficient threshold, it is judged that the aluminum alloy yield strength is abnormal, and the abnormal result is sent to the management personnel and production personnel, and an early warning signal is issued. Otherwise, it indicates that the aluminum alloy yield strength is normal.

[0039] Extract the aluminum alloy surface integrity coefficient ACC of each monitoring sub-area in the target area i , and the formula for the fluctuation coefficient of the aluminum alloy surface change in each monitoring sub-area within the target area is obtained:

[0040] Among them, ACC 预 It is represented by a preset aluminum alloy surface integrity coefficient threshold. If the aluminum alloy surface integrity coefficient of the ith monitoring sub-area is less than the preset aluminum alloy surface integrity coefficient threshold, it is judged that there is an abnormality in the aluminum alloy surface quality, and the abnormal result is sent to management personnel and production personnel, and an early warning signal is issued; otherwise, it indicates that there is no abnormality in the aluminum alloy surface quality.

[0041] Preferably, the target area aluminum alloy production quality assessment index calculation model is as follows:

[0042]

[0043] Among them, CSEI is the aluminum alloy production quality evaluation index of the target area, SCC i It is expressed as the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area, YSC i Expressed as the aluminum alloy yield strength compliance coefficient of the i-th monitoring sub-area, ACC i It is expressed as the aluminum alloy surface integrity coefficient of the ith monitoring sub-area, and k1, k2 and k3 represent constants.

[0044] Preferably, the specific method of comparative analysis of the aluminum alloy production quality assessment module is:

[0045] Obtain the aluminum alloy production quality assessment index of the target area and compare it with the preset production quality assessment index threshold. If the aluminum alloy production quality assessment index is less than the preset production quality assessment index threshold, it indicates that there is an abnormality in the aluminum alloy production quality in the target area. The abnormal area number should be sent to the corresponding management personnel for review, and an abnormal data analysis report should be generated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the aluminum alloy production quality in the target area.

[0046] Technical effects and advantages of the present invention:

[0047] 1. The present invention collects and preprocesses aluminum alloy data in real time, analyzes and obtains the aluminum alloy tensile strength compliance coefficient, aluminum alloy yield strength compliance coefficient and aluminum alloy surface integrity coefficient, and then analyzes and obtains the aluminum alloy production quality evaluation index. By introducing data analysis technology, the aluminum alloy production quality is analyzed, which can not only improve the efficiency and product quality of aluminum alloy production, but also reduce production costs and labor costs, and has significant economic and social benefits;

[0048] 2. The present invention can collect key data of aluminum alloy production quality in real time, overcoming the drawbacks of traditional offline detection methods that are time-consuming and unable to reflect production quality fluctuations in real time. Through online monitoring, the system can immediately detect abnormal conditions in the production process, ensuring that quality problems are responded to and handled quickly;

[0049] 3. The present invention integrates advanced automation technology and intelligent algorithms, and can automatically complete the entire process of data collection, processing, analysis and evaluation without a lot of manual intervention; this not only reduces labor costs, but also improves detection efficiency and accuracy, and adapts to the modern manufacturing industry's demand for high precision, high efficiency and continuous production. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0051] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention.

[0052] Figure 2 It is a schematic diagram of the structure of the acquisition unit of the aluminum alloy data acquisition module of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.

[0054] See also Figure 1-2 As shown, the present invention provides a production quality monitoring system based on aluminum alloy production, including a region division module, an aluminum alloy data acquisition module, an aluminum alloy data preprocessing module, an aluminum alloy data analysis module, an aluminum alloy production quality analysis module, an aluminum alloy data comprehensive analysis module, an aluminum alloy production quality assessment module and a user interface module.

[0055] The output end of the area division module is connected to the input end of the aluminum alloy data acquisition module by telecommunication, the output end of the aluminum alloy data acquisition module is connected to the input end of the aluminum alloy data preprocessing module by telecommunication, the output end of the aluminum alloy data preprocessing module is connected to the input end of the aluminum alloy data analysis module by telecommunication, the output end of the aluminum alloy data analysis module is connected to the input end of the aluminum alloy production quality analysis module by telecommunication, the output end of the aluminum alloy production quality analysis module is respectively connected to the input end of the aluminum alloy data comprehensive analysis module and the input end of the user interface module by telecommunication, the output end of the aluminum alloy data comprehensive analysis module is respectively connected to the input end of the aluminum alloy production quality assessment module and the input end of the user interface module by telecommunication, and the output end of the aluminum alloy production quality assessment module is connected to the input end of the user interface module by telecommunication.

[0056] The area division module is used to determine a batch of aluminum alloy finished products as the target area, divide it into various monitoring sub-areas according to the division method of a single aluminum alloy, and number them as 1, 2, ..., n in sequence; i∈(1, 2, ..., n);

[0057] In the present embodiment, it should be specifically explained that the raw materials used to produce the batch of aluminum alloy finished products are the same, and the production equipment and production environment used in the production process are also the same.

[0058] The aluminum alloy data acquisition module includes an aluminum alloy tensile strength information acquisition unit, an aluminum alloy yield strength information acquisition unit and an aluminum alloy surface information acquisition unit, each acquisition unit is used to collect aluminum alloy comprehensive parameters of each monitoring sub-area, and transmit the collected comprehensive parameters to the aluminum alloy data preprocessing module;

[0059] In this embodiment, it should be specifically explained that the aluminum alloy tensile strength information acquisition unit is used to collect the aluminum alloy tensile strength parameters of each monitoring sub-area, including the aluminum alloy length, the aluminum alloy stretched length, the aluminum alloy maximum tensile force, the aluminum alloy cross-sectional area and the preset standard tensile strength;

[0060] The aluminum alloy yield strength information collection unit is used to collect the aluminum alloy yield strength parameters of each monitoring sub-area, including the measured aluminum alloy yield strength at temperature T, the preset standard aluminum alloy yield strength, the aluminum alloy temperature and the ambient temperature;

[0061] The aluminum alloy surface information collection unit is used to collect aluminum alloy surface parameters of each monitoring sub-area, including aluminum alloy surface defect area, aluminum alloy area, aluminum alloy surface defect length, aluminum alloy surface defect depth and aluminum alloy surface defect quantity.

[0062] The aluminum alloy data preprocessing module is used to preprocess the aluminum alloy comprehensive parameters collected by the aluminum alloy data collection module and transmit the preprocessed data to the aluminum alloy data analysis module;

[0063] In this embodiment, it should be specifically explained that the aluminum alloy data preprocessing module preprocesses the collected data by performing noise reduction, outlier detection and outlier processing on the data through existing filtering technology, and cleans the data to standardize all numerical variables.

[0064] The aluminum alloy data analysis module includes an aluminum alloy tensile strength analysis unit, an aluminum alloy yield strength analysis unit and an aluminum alloy surface analysis unit, which imports the data transmitted by the aluminum alloy data preprocessing module into the corresponding analysis unit mathematical model, calculates the aluminum alloy tensile strength compliance coefficient, aluminum alloy yield strength compliance coefficient and aluminum alloy surface integrity coefficient of each monitoring sub-area, and transmits the calculation results to the aluminum alloy production quality analysis module;

[0065] In this embodiment, it should be specifically explained that the calculation steps of the aluminum alloy tensile strength compliance coefficient of each monitoring sub-area are as follows:

[0066] Step S01: Calculate the elongation of the aluminum alloy. The calculation model is as follows:

[0067]

[0068] Among them, Aer i Expressed as the aluminum alloy elongation of the ith monitoring sub-area, La i It is expressed as the length of aluminum alloy in the ith monitoring sub-area, Ld i It is represented as the length of the aluminum alloy after stretching in the i-th monitoring sub-area;

[0069] Step S02: Measure the tensile strength of the aluminum alloy. Place the aluminum alloy material on a tensile testing machine and apply tensile force until the material breaks, thereby measuring the maximum tensile force Pt of the aluminum alloy material. At the same time, record the cross-sectional area Ca of the aluminum alloy material and use the formula Ts i =Pt i / Ca i The tensile strength of aluminum alloy in the i-th monitoring sub-area is calculated;

[0070] Step S03: Calculate the aluminum alloy tensile strength compliance coefficient, and the calculation model is as follows:

[0071]

[0072] Among them, SCC i It is expressed as the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area, Aer i Expressed as the aluminum alloy elongation of the ith monitoring sub-area, Pt i It is expressed as the maximum tensile stress of aluminum alloy in the ith monitoring sub-area, Ca i It is represented as the cross-sectional area of ​​aluminum alloy in the ith monitoring sub-area, and Ts0 is represented as the preset standard tensile strength.

[0073] In this embodiment, it should be specifically explained that the calculation steps of the aluminum alloy yield strength compliance coefficient of each monitoring sub-area are as follows:

[0074] Step S01: Establish a mathematical model for the change of the measured aluminum alloy yield strength under the influence of temperature as follows:

[0075]

[0076] Among them, YS(T i ) i It is represented by the measured aluminum alloy yield strength of the ith monitoring sub-area at temperature T, Ys0 is represented by the preset standard aluminum alloy yield strength, T i It is represented as the aluminum alloy temperature of the i-th monitoring sub-area, and T0 is represented as the ambient temperature;

[0077] Step S02: Calculate the aluminum alloy yield strength compliance coefficient, the calculation model is as follows:

[0078]

[0079] Among them, YSCi represents the aluminum alloy yield strength compliance coefficient of the i-th monitoring sub-area, YS(T i ) i It is represented by the measured aluminum alloy yield strength of the ith monitoring sub-area at temperature T, and Ys0 is represented by the preset standard aluminum alloy yield strength.

[0080] In this embodiment, it should be specifically explained that the calculation model of the aluminum alloy surface integrity coefficient of each monitoring sub-area is as follows:

[0081]

[0082] Among them, ACC i Expressed as the aluminum alloy surface integrity coefficient of the ith monitoring sub-area, Sa ij It is expressed as the aluminum alloy surface defect area of ​​the jth defect in the ith monitoring sub-area, Aa i It is represented by the aluminum alloy area of ​​the ith monitoring sub-area, Al ij It is expressed as the aluminum alloy surface defect length of the jth defect in the ith monitoring sub-area, Ad ij It is represented as the aluminum alloy surface defect depth of the jth defect in the ith monitoring sub-area, and m is represented as the number of aluminum alloy surface defects, where j∈(1, 2, …, m).

[0083] The aluminum alloy production quality analysis module is used to compare the data transmitted by the aluminum alloy data analysis module with the preset value to determine whether an abnormality occurs, and to adjust the production of the abnormal area;

[0084] In this embodiment, it should be specifically explained that the specific manner in which the aluminum alloy production quality analysis module compares the data transmitted by the aluminum alloy data analysis module with the preset value is:

[0085] Extract the aluminum alloy tensile strength compliance coefficient SCC of each monitoring sub-area in the target area i , and the fluctuation coefficient formula of aluminum alloy tensile strength variation in each monitoring sub-area within the target area is obtained:

[0086] Among them, SCC 预 It is represented by the preset aluminum alloy tensile strength compliance coefficient threshold. If the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area is less than the preset aluminum alloy tensile strength compliance coefficient threshold, it is judged that the aluminum alloy tensile strength is abnormal, and the abnormal result is sent to the management personnel and production personnel, and an early warning signal is issued. Otherwise, it indicates that the aluminum alloy tensile strength is normal.

[0087] Extract the aluminum alloy yield strength compliance coefficient YSC of each monitoring sub-area in the target area i , and the fluctuation coefficient formula of aluminum alloy yield strength variation in each monitoring sub-area within the target area is obtained:

[0088] Among them, YSC 预 It is represented by the preset aluminum alloy yield strength compliance coefficient threshold. If the aluminum alloy yield strength compliance coefficient of the i-th monitoring sub-area is less than the preset aluminum alloy yield strength compliance coefficient threshold, it is judged that the aluminum alloy yield strength is abnormal, and the abnormal result is sent to the management personnel and production personnel, and an early warning signal is issued. Otherwise, it indicates that the aluminum alloy yield strength is normal.

[0089] Extract the aluminum alloy surface integrity coefficient ACC of each monitoring sub-area in the target area i , and the formula for the fluctuation coefficient of the aluminum alloy surface change in each monitoring sub-area within the target area is obtained:

[0090] Among them, ACC 预 It is represented by a preset aluminum alloy surface integrity coefficient threshold. If the aluminum alloy surface integrity coefficient of the ith monitoring sub-area is less than the preset aluminum alloy surface integrity coefficient threshold, it is judged that there is an abnormality in the aluminum alloy surface quality, and the abnormal result is sent to management personnel and production personnel, and an early warning signal is issued; otherwise, it indicates that there is no abnormality in the aluminum alloy surface quality.

[0091] The aluminum alloy data comprehensive analysis module establishes a mathematical model to calculate the aluminum alloy production quality evaluation index of the target area based on the data obtained after comparison and judgment by the aluminum alloy production quality analysis module, and transmits it to the aluminum alloy production quality evaluation module;

[0092] In this embodiment, it should be specifically stated that the calculation model of the aluminum alloy production quality assessment index in the target area is as follows:

[0093]

[0094] Among them, CSEI is the aluminum alloy production quality evaluation index of the target area, SCC i It is expressed as the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area, YSC i Expressed as the aluminum alloy yield strength compliance coefficient of the i-th monitoring sub-area, ACC i It is expressed as the aluminum alloy surface integrity coefficient of the ith monitoring sub-area, and k1, k2 and k3 represent constants.

[0095] The aluminum alloy production quality assessment module is used to compare and analyze the aluminum alloy production quality assessment index calculated by the aluminum alloy data comprehensive analysis module with a preset production quality assessment index threshold, obtain a judgment result, and transmit the judgment result to the user interface module;

[0096] In this embodiment, it should be specifically explained that the specific method of comparative analysis of the aluminum alloy production quality assessment module is:

[0097] Obtain the aluminum alloy production quality assessment index of the target area and compare it with the preset production quality assessment index threshold. If the aluminum alloy production quality assessment index is less than the preset production quality assessment index threshold, it indicates that there is an abnormality in the aluminum alloy production quality in the target area. The abnormal area number should be sent to the corresponding management personnel for review, and an abnormal data analysis report should be generated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the aluminum alloy production quality in the target area.

[0098] The user interface module is used to receive aluminum alloy production quality analysis reports and early warning information, intuitively display them through the user interface, and provide production suggestions and safety warnings to management personnel and production personnel.

[0099] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0100] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A production quality monitoring system based on aluminum alloy production, characterized in that: include: Area division module: used to determine a batch of aluminum alloy finished products as the target area, divide it into monitoring sub-areas according to the division method of a single aluminum alloy, and number them as 1, 2, ..., n in sequence; i∈(1, 2, ..., n); Aluminum alloy data acquisition module: including aluminum alloy tensile strength information acquisition unit, aluminum alloy yield strength information acquisition unit and aluminum alloy surface information acquisition unit. Each acquisition unit is used to collect aluminum alloy comprehensive parameters of each monitoring sub-area and transmit the collected comprehensive parameters to the aluminum alloy data preprocessing module; Aluminum alloy data preprocessing module: used for preprocessing the aluminum alloy comprehensive parameters collected by the aluminum alloy data collection module, and transmitting the preprocessed data to the aluminum alloy data analysis module; Aluminum alloy data analysis module: including aluminum alloy tensile strength analysis unit, aluminum alloy yield strength analysis unit and aluminum alloy surface analysis unit, imports the data transmitted by the aluminum alloy data preprocessing module into the corresponding analysis unit mathematical model, calculates the aluminum alloy tensile strength compliance coefficient, aluminum alloy yield strength compliance coefficient and aluminum alloy surface integrity coefficient of each monitoring sub-area, and transmits the calculation results to the aluminum alloy production quality analysis module; Aluminum alloy production quality analysis module: used to compare the data transmitted by the aluminum alloy data analysis module with the preset value to determine whether there is an abnormality, and make production adjustments to the abnormal area; Aluminum alloy data comprehensive analysis module: Based on the data obtained after comparison and judgment by the aluminum alloy production quality analysis module, a mathematical model is established to calculate the aluminum alloy production quality evaluation index of the target area and transmit it to the aluminum alloy production quality evaluation module; Aluminum alloy production quality assessment module: used to compare and analyze the aluminum alloy production quality assessment index calculated by the aluminum alloy data comprehensive analysis module with a preset production quality assessment index threshold, obtain a judgment result, and transmit the judgment result to the user interface module; User interface module: used to receive aluminum alloy production quality analysis reports and early warning information, intuitively display them through the user interface, and provide production suggestions and safety warnings to managers and production personnel.

2. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The production raw materials of the batch of aluminum alloy finished products are the same, and the production equipment and production environment used in the production process are also the same.

3. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The aluminum alloy tensile strength information acquisition unit is used to collect the aluminum alloy tensile strength parameters of each monitoring sub-area, including the aluminum alloy length, the aluminum alloy length after stretching, the aluminum alloy maximum tensile force, the aluminum alloy cross-sectional area and the preset standard tensile strength; the aluminum alloy yield strength information acquisition unit is used to collect the aluminum alloy yield strength parameters of each monitoring sub-area, including the measured aluminum alloy yield strength at temperature T, the preset standard aluminum alloy yield strength, the aluminum alloy temperature and the ambient temperature; the aluminum alloy surface information acquisition unit is used to collect the aluminum alloy surface parameters of each monitoring sub-area, including the aluminum alloy surface defect area, aluminum alloy area, aluminum alloy surface defect length, aluminum alloy surface defect depth and aluminum alloy surface defect number.

4. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The aluminum alloy data preprocessing module preprocesses the collected data by performing noise reduction, outlier detection and outlier processing on the data through existing filtering technology, and cleans the data to standardize all numerical variables.

5. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The calculation steps of the aluminum alloy tensile strength compliance coefficient of each monitoring sub-area are as follows: Step S01: Calculate the elongation of the aluminum alloy. The calculation model is as follows: Among them, Aer i Expressed as the aluminum alloy elongation of the ith monitoring sub-area, La i It is expressed as the length of aluminum alloy in the ith monitoring sub-area, Ld i It is represented as the length of the aluminum alloy after stretching in the i-th monitoring sub-area; Step S02: Measure the tensile strength of the aluminum alloy. Place the aluminum alloy material on a tensile testing machine and apply tensile force until the material breaks, thereby measuring the maximum tensile force Pt of the aluminum alloy material. At the same time, record the cross-sectional area Ca of the aluminum alloy material and use the formula Ts i =Pt i / Ca i The tensile strength of aluminum alloy in the i-th monitoring sub-area is calculated; Step S03: Calculate the aluminum alloy tensile strength compliance coefficient, and the calculation model is as follows: Among them, SCC i It is expressed as the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area, Aer i Expressed as the aluminum alloy elongation of the ith monitoring sub-area, Pt i It is expressed as the maximum tensile stress of aluminum alloy in the ith monitoring sub-area, Ca i It is represented as the cross-sectional area of ​​aluminum alloy in the ith monitoring sub-area, and Ts0 is represented as the preset standard tensile strength.

6. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The calculation steps of the aluminum alloy yield strength compliance coefficient of each monitoring sub-area are as follows: Step S01: Establish a mathematical model for the change of the measured aluminum alloy yield strength under the influence of temperature as follows: Among them, YS(T i ) i It is represented by the measured aluminum alloy yield strength of the ith monitoring sub-area at temperature T, Ys0 is represented by the preset standard aluminum alloy yield strength, T i It is represented as the aluminum alloy temperature of the i-th monitoring sub-area, and T0 is represented as the ambient temperature; Step S02: Calculate the aluminum alloy yield strength compliance coefficient, the calculation model is as follows: Among them, YSC i It is expressed as the aluminum alloy yield strength compliance coefficient of the ith monitoring sub-area, YS(T i ) i It is represented by the measured aluminum alloy yield strength of the ith monitoring sub-area at temperature T, and Ys0 is represented by the preset standard aluminum alloy yield strength.

7. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The calculation model of the aluminum alloy surface integrity coefficient of each monitoring sub-area is as follows: Among them, ACC i Expressed as the aluminum alloy surface integrity coefficient of the ith monitoring sub-area, Sa ij It is expressed as the aluminum alloy surface defect area of ​​the jth defect in the ith monitoring sub-area, Aa i It is represented by the aluminum alloy area of ​​the ith monitoring sub-area, Al ij It is expressed as the aluminum alloy surface defect length of the jth defect in the ith monitoring sub-area, Ad ij It is represented as the aluminum alloy surface defect depth of the jth defect in the ith monitoring sub-area, and m is represented as the number of aluminum alloy surface defects, where j∈(1, 2, …, m).

8. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The specific method in which the aluminum alloy production quality analysis module compares the data transmitted by the aluminum alloy data analysis module with the preset value is: Extract the aluminum alloy tensile strength compliance coefficient SCC of each monitoring sub-area in the target area i , and the fluctuation coefficient formula of aluminum alloy tensile strength variation in each monitoring sub-area within the target area is obtained: Among them, SCC 预 It is represented by the preset aluminum alloy tensile strength compliance coefficient threshold. If the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area is less than the preset aluminum alloy tensile strength compliance coefficient threshold, it is judged that the aluminum alloy tensile strength is abnormal, and the abnormal result is sent to the management personnel and production personnel, and an early warning signal is issued. Otherwise, it indicates that the aluminum alloy tensile strength is normal. Extract the aluminum alloy yield strength compliance coefficient YSC of each monitoring sub-area in the target area i , and the fluctuation coefficient formula of aluminum alloy yield strength variation in each monitoring sub-area within the target area is obtained: Among them, YSC 预 It is represented by the preset aluminum alloy yield strength compliance coefficient threshold. If the aluminum alloy yield strength compliance coefficient of the i-th monitoring sub-area is less than the preset aluminum alloy yield strength compliance coefficient threshold, it is judged that the aluminum alloy yield strength is abnormal, and the abnormal result is sent to the management personnel and production personnel, and an early warning signal is issued. Otherwise, it indicates that the aluminum alloy yield strength is normal. Extract the aluminum alloy surface integrity coefficient ACC of each monitoring sub-area in the target area i , and the formula for the fluctuation coefficient of the aluminum alloy surface change in each monitoring sub-area within the target area is obtained: Among them, ACC 预 It is represented by a preset aluminum alloy surface integrity coefficient threshold. If the aluminum alloy surface integrity coefficient of the ith monitoring sub-area is less than the preset aluminum alloy surface integrity coefficient threshold, it is judged that there is an abnormality in the aluminum alloy surface quality, and the abnormal result is sent to management personnel and production personnel, and an early warning signal is issued; otherwise, it indicates that there is no abnormality in the aluminum alloy surface quality.

9. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The calculation model of the aluminum alloy production quality assessment index in the target area is as follows: Among them, CSEI is the aluminum alloy production quality evaluation index of the target area, SCC i It is expressed as the aluminum alloy tensile strength compliance coefficient of the i-th monitoring sub-area, YSC i Expressed as the aluminum alloy yield strength compliance coefficient of the i-th monitoring sub-area, ACC i It is expressed as the aluminum alloy surface integrity coefficient of the ith monitoring sub-area, and k1, k2 and k3 represent constants.

10. A production quality monitoring system based on aluminum alloy production according to claim 1, characterized in that: The specific method of comparative analysis of the aluminum alloy production quality assessment module is as follows: Obtain the aluminum alloy production quality assessment index of the target area and compare it with the preset production quality assessment index threshold. If the aluminum alloy production quality assessment index is less than the preset production quality assessment index threshold, it indicates that there is an abnormality in the aluminum alloy production quality in the target area. The abnormal area number should be sent to the corresponding management personnel for review, and an abnormal data analysis report should be generated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the aluminum alloy production quality in the target area.

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