Global management and control method and platform for fastener production

Abstract

The invention discloses a fastener production-oriented global management and control method and platform, and relates to the related field of industrial manufacturing, and the method comprises the steps: building a quality demand; constructing a fastener test scheme library, and configuring a target test scheme library; dividing the test schemes into a first type of test scheme set and a second type of test scheme set; performing nondestructive testing on the target fastener product to obtain a first type of detection data set, and performing analysis to obtain multiple nondestructive testing results; setting a sampling inspection proportion, and classifying and extracting the target fastener products to obtain a plurality of sampling inspection fastener sets; carrying out lossy detection on the plurality of casual inspection fastener sets; and generating a fastener production global analysis result based on the plurality of nondestructive detection results and the plurality of lossy detection results, and carrying out production management and control. The technical problems of high detection cost and low production efficiency existing in the conventional fastener production management and control are solved, and the technical effects of reducing the detection cost and improving the production efficiency on the premise of ensuring the product quality stability are achieved.

Description

Technical Field

[0001] The present application relates to fields related to industrial manufacturing, and in particular to a global control method and platform for fastener production. Background Art

[0002] As a key element for connecting and fixing various mechanical parts, the performance of fasteners directly affects the safety and reliability of the entire mechanical system. Therefore, in the field of fastener production, ensuring product quality is crucial. In the traditional fastener production quality control method, a comprehensive inspection method is usually adopted, that is, each fastener produced is inspected in detail to ensure that it meets the quality requirements. Although this method can ensure product quality, comprehensive inspection requires a lot of manpower, material resources and time, resulting in high inspection costs. Since the inspection process is cumbersome and time-consuming, comprehensive inspection will seriously affect production efficiency and extend the production cycle.

[0003] Among the current related technologies, the management and control of fastener production has technical problems such as high detection costs and low production efficiency. Summary of the invention

[0004] The present application provides a global control method and platform for fastener production, establishes quality requirements for target fastener products, including mechanical performance requirements, appearance requirements, and corrosion resistance requirements, etc., builds a fastener test solution library based on big data, and configures the target test solution library for the target fastener products in combination with the quality requirements. The target test solution library is divided into two categories: non-destructive testing solutions and destructive testing solutions, which are used for preliminary screening and in-depth testing respectively. The target fastener products are preliminarily screened through the non-destructive testing solution to obtain a variety of non-destructive testing results. The target fastener products are classified and extracted according to the sampling ratio and the non-destructive testing results to obtain a plurality of sampled fastener sets. Destructive testing is performed on the sampled fastener sets to obtain a plurality of destructive testing results. Global analysis results of fastener production are generated based on the non-destructive testing results and the destructive testing results. Production control of the target fastener products is performed according to the analysis results, and other technical means are used to achieve the technical effect of reducing testing costs and improving production efficiency under the premise of ensuring product quality stability.

[0005] This application provides a global control method for fastener production, including:

[0006] Establish quality requirements for target fastener products, wherein the quality requirements include mechanical performance requirements, appearance requirements, and corrosion resistance requirements; construct a fastener test solution library based on big data, and configure the target test solution library for the target fastener products in combination with the quality requirements; divide the target test solution library into a first test solution set and a second test solution set, wherein the first test solution set is a non-destructive testing solution for the target fastener products, and the second test solution set is a destructive testing solution for the target fastener products; perform non-destructive testing on the target fastener products according to the first test solution set to obtain a first test data set, and analyze the first test data set to obtain a variety of non-destructive testing results; set a sampling ratio, classify and extract the target fastener products according to the sampling ratio and the various non-destructive testing results, and obtain a plurality of sampling fastener sets; perform destructive testing on the plurality of sampling fastener sets according to the second test solution set to obtain a plurality of destructive testing results; generate a global analysis result of fastener production based on the various non-destructive testing results and the plurality of destructive testing results, and perform production control on the target fastener products based on the global analysis result of fastener production.

[0007] In a possible implementation, nondestructive testing is performed on the target fastener product according to the first test solution set, a first test data set is obtained, and the following processing is performed:

[0008] A size detection area and a surface detection area are set on a fastener production line; a standard fastener size and a standard fastener surface of a target fastener product are obtained according to the quality requirements, the size detection area is configured with the standard fastener size, and the surface detection area is configured with the standard fastener surface; the fasteners are passed through the configured size detection area and surface detection area in sequence, and a size detection result and a surface detection result of each fastener are obtained; a fastener number is set for each fastener, and the fastener number is associated with the corresponding size detection result and surface detection result for storage, so as to obtain a first type of detection data set.

[0009] In a possible implementation, the first type of detection data set is analyzed to obtain multiple nondestructive detection results, and the following processing is performed:

[0010] According to the quality requirements, multiple size deviation thresholds and multiple surface defect area thresholds are set; the size detection results and surface detection results in the first type of detection data set are extracted, and the size deviation value and surface defect area of ​​each fastener are calculated respectively; the fasteners are divided into multiple size grades according to the multiple size deviation thresholds, and the fasteners are divided into multiple surface grades according to the multiple surface defect area thresholds; the fasteners in the first type of detection data set are identified by multiple size grades and multiple surface grades, and multiple non-destructive testing results are obtained.

[0011] In a possible implementation, a sampling ratio is set, and the target fastener products are classified and sampled according to the sampling ratio and multiple nondestructive testing results to obtain multiple sampling fastener sets, and the following processing is performed:

[0012] A sampling ratio of target fastener products is set, and a total number of fasteners sampled is determined according to the sampling ratio; multiple sampling levels of multiple nondestructive testing results are obtained according to the size grades and surface grades corresponding to the multiple nondestructive testing results, and multiple sampling weights are set based on the multiple sampling levels, wherein the lower the sampling level, the greater the corresponding sampling weight; the multiple sampling weights are used as the sampling ratios of fasteners corresponding to the multiple nondestructive testing results, and combined with the total number of fasteners sampled, multiple sampling quantities are obtained; based on the multiple sampling quantities, the fasteners corresponding to the multiple nondestructive testing results are randomly sampled to obtain multiple sampled fastener sets.

[0013] In a possible implementation, destructive testing is performed on the plurality of sampled fastener sets according to the second type of test solution set, a plurality of destructive testing results are obtained, and the following processing is performed:

[0014] According to the second type of test scheme set, destructive test parameters of destructive testing are set, including tensile load parameters and salt spray test parameters; tensile tests are performed on fasteners in a plurality of sampled fastener sets to obtain mechanical property test results of each fastener; salt spray tests are performed on fasteners in a plurality of sampled fastener sets to obtain corrosion resistance test results of each fastener; and the mechanical property test results and corrosion resistance test results of each fastener in a plurality of sampled fastener sets are summarized to obtain multiple destructive testing results.

[0015] In a possible implementation, a global analysis result of fastener production is generated based on the multiple nondestructive testing results and the multiple destructive testing results, and the following processing is performed:

[0016] The multiple nondestructive testing results and the multiple destructive testing results are input into the correlation analysis model to establish a correlation relationship between the nondestructive testing results and the destructive testing results; based on the correlation relationship, the destructive testing results of multiple sampled fastener sets are used to predict the performance indicators of fasteners that have not undergone destructive testing, and obtain the predicted performance distribution of the target fastener product; the predicted performance distribution is compared with the quality requirements, the quality satisfaction rate of the target fastener product is evaluated, and a global analysis result of fastener production is generated.

[0017] In a possible implementation, the target fastener product is subjected to production control based on the global analysis result of fastener production, and the following processing is performed:

[0018] Abnormal risk points of target fastener products are established based on quality requirements; when the global analysis results of fastener production trigger the abnormal risk points, production control of the target fastener products is performed.

[0019] This application also provides a global management and control platform for fastener production, including:

[0020] A quality requirement establishment module, the quality requirement establishment module is used to establish the quality requirements of the target fastener product, wherein the quality requirements include mechanical performance requirements, appearance requirements, and corrosion resistance requirements; a target test solution library configuration module, the target test solution library configuration module is used to build a fastener test solution library based on big data, and configure the target test solution library of the target fastener product in combination with the quality requirements; a solution library division module, the solution library division module is used to divide the target test solution library into a first type of test solution set and a second type of test solution set, wherein the first type of test solution set is a non-destructive testing solution for the target fastener product, and the second type of test solution set is a destructive testing solution for the target fastener product; a non-destructive testing module, the non-destructive testing module is used to configure the target test solution library according to the first type A test scheme set performs non-destructive testing on the target fastener product to obtain a first type of test data set, and analyzes the first type of test data set to obtain multiple non-destructive testing results; a classification extraction module, the classification extraction module is used to set the sampling ratio, and classify and extract the target fastener product according to the sampling ratio and multiple non-destructive testing results to obtain multiple sampling fastener sets; a destructive testing module, the destructive testing module is used to perform destructive testing on the multiple sampling fastener sets according to the second type of test scheme set, and obtain multiple destructive testing results; a production control module, the production control module is used to generate a global analysis result of fastener production based on the multiple non-destructive testing results and multiple destructive testing results, and perform production control on the target fastener product based on the global analysis result of fastener production.

[0021] The global control method and platform for fastener production proposed in this application first establishes the quality requirements of the target fastener products, wherein the quality requirements include mechanical performance requirements, appearance requirements, and corrosion resistance requirements, then builds a fastener test solution library based on big data, configures the target test solution library of the target fastener products in combination with the quality requirements, and then divides the target test solution library into a first test solution set and a second test solution set, wherein the first test solution set is a non-destructive testing solution for the target fastener products, and the second test solution set is a destructive testing solution for the target fastener products, and then the target fastener products are tested according to the first test solution set. Non-destructive testing, obtain the first type of test data set, analyze the first type of test data set, obtain multiple non-destructive testing results, then set the sampling ratio, classify and extract the target fastener products according to the sampling ratio and multiple non-destructive testing results, and obtain multiple sampling fastener sets, and then perform destructive testing on the multiple sampling fastener sets according to the second type of test scheme set to obtain multiple destructive testing results, and finally generate a global analysis result of fastener production based on multiple non-destructive testing results and multiple destructive testing results, and control the production of the target fastener products based on the global analysis result of fastener production, thereby achieving the technical effect of reducing testing costs and improving production efficiency while ensuring product quality stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention are briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the platform according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0023] Figure 1 A schematic flow chart of a global control method for fastener production provided in an embodiment of the present application.

[0024] Figure 2 A schematic diagram of the structure of a global control platform for fastener production provided in an embodiment of the present application.

[0025] Explanation of the accompanying drawings: quality requirement establishment module 10, target test solution library configuration module 20, solution library division module 30, non-destructive testing module 40, classification extraction module 50, destructive testing module 60, production control module 70. DETAILED DESCRIPTION

[0026] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0027] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0028] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, platform, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0029] The present application embodiment provides a global control method for fastener production, such as Figure 1 As shown, the method includes:

[0030] Step S100, establish the quality requirements of the target fastener products, wherein the quality requirements include mechanical performance requirements, appearance requirements, and corrosion resistance requirements. Specifically, before the start of fastener production, clarify the quality requirements of the target fastener products, including mechanical performance requirements (the performance of the fasteners when subjected to external forces, such as tensile strength, yield strength, hardness, etc.), appearance requirements (the dimensional accuracy, shape, surface finish, color and other appearance characteristics of the fasteners) and corrosion resistance requirements (the ability of the fasteners to resist corrosion in specific environments, such as humid, corrosive gas environments, such as the corrosion resistance time under salt spray tests, etc.). Use these requirements as the basis for subsequent test plan design and production control.

[0031] Step S200, construct a fastener test solution library based on big data, and configure the target test solution library of the target fastener product in combination with the quality requirements. Specifically, using big data technology, collect and analyze the data and results of previous fastener tests to construct a fastener test solution library, which is a database containing a variety of fastener test solutions for selecting appropriate test solutions according to different quality requirements. According to the quality requirements established in step S100, the test solutions suitable for the target fastener product are screened out from the test solution library and configured into the target test solution library.

[0032] Step S300, divide the target test solution library into a first test solution set and a second test solution set, wherein the first test solution set is a non-destructive testing solution for the target fastener product, and the second test solution set is a destructive testing solution for the target fastener product. Specifically, the test solutions in the target test solution library are divided into two categories: a non-destructive testing solution set and a destructive testing solution set. Non-destructive testing refers to the detection of internal or surface defects, properties, etc. of the object under test by physical or chemical methods without destroying the object under test. Destructive testing refers to a testing method that destroys part or all of the object under test to obtain its performance or quality. That is, the non-destructive testing solution set is used for non-destructive testing of fasteners, such as dimensional measurement, surface testing, etc. The destructive testing solution set requires destructive testing of fasteners, such as tensile testing, salt spray testing, etc.

[0033] Step S400, performing nondestructive testing on the target fastener product according to the first type of test solution set, obtaining a first type of test data set, and analyzing the first type of test data set to obtain multiple nondestructive testing results. Specifically, performing nondestructive testing on the target fastener product according to the first type of test solution set (nondestructive testing solution set), collecting test data, and forming a first type of test data set. Analyzing the first type of test data set to obtain multiple nondestructive testing results.

[0034] In a possible implementation, the target fastener product is subjected to nondestructive testing according to the first type of test solution set to obtain the first type of test data set, and step S400 further includes step S410, setting a size detection area and a surface detection area on the fastener production line. Specifically, in the production process of the fastener, two special detection areas are set at appropriate locations: a size detection area and a surface detection area. The size detection area is configured with equipment that can accurately measure the size of the fastener, such as a laser rangefinder. The surface detection area is configured with equipment that can detect surface defects of the fastener, such as a visual inspection system, a magnetic particle flaw detector or an ultrasonic flaw detector. Step S420, according to the quality requirements, the standard fastener size and standard fastener surface of the target fastener product are obtained, the size detection area is configured with the standard fastener size, and the surface detection area is configured with the standard fastener surface. Specifically, according to the quality requirements established in step S100, the standard size and surface requirements (such as smoothness, crack-free, rust-free, etc.) of the target fastener product are obtained. These standard values ​​are input into the equipment in the size inspection area and the surface inspection area as the basis for inspection, and the inspection equipment is calibrated to ensure the accuracy and reliability of the measurement.

[0035] Step S430, make the fasteners pass through the configured size detection area and surface detection area in turn, and obtain the size detection results and surface detection results of each fastener. Specifically, on the production line, the fasteners to be detected are sent to the size detection area and the surface detection area in turn. In the size detection area, the fasteners obtain their size data through the measuring equipment. In the surface detection area, the fasteners obtain their surface quality data through the detection equipment. These data are recorded to obtain the size detection results and surface detection results. Step S440, set a fastener number for each fastener, associate and store it with the corresponding size detection results and surface detection results, and obtain the first type of detection data set. Specifically, a unique number is set for each fastener that has been inspected to identify it. This number is associated with the corresponding size detection result and surface detection result and stored to form a complete detection data set. This data set is used for subsequent data analysis and production control. This implementation method sets up a special inspection area on the production line and uses high-precision inspection equipment for measurement and inspection, which can accurately obtain the size and surface quality data of the fasteners. By setting a number for each fastener and storing the inspection results in association, the quality status of each fastener can be easily tracked and analyzed. Once a quality problem is found, it can be quickly located and appropriate measures can be taken to correct it, thereby ensuring that the fasteners produced are qualified, achieving the technical effect of ensuring that the fasteners can meet the predetermined quality requirements during the production process.

[0036] In a possible implementation, the first type of detection data set is analyzed to obtain a variety of non-destructive testing results, and step S400 further includes step S450, setting multiple size deviation thresholds and multiple surface defect area thresholds according to the quality requirements. Specifically, in the quality requirements established in step S100, the requirements for mechanical properties, appearance and corrosion resistance of the target fastener products have been clarified. According to these requirements, especially the dimensional accuracy and surface quality in the appearance requirements, multiple size deviation thresholds and multiple surface defect area thresholds are set, and these thresholds are used to divide the size and surface quality of the fastener into different levels for subsequent analysis and control. Among them, the size deviation threshold refers to the allowable deviation range between the actual size of the fastener and the standard size. The surface defect area threshold refers to the maximum area allowed for surface defects (such as scratches, rust, cracks, etc.) of the fastener. Step S460, extract the size detection results and surface detection results in the first type of detection data set, and calculate the size deviation value and surface defect area of ​​each fastener respectively. Specifically, the size detection result and surface detection result (including the type, location, size, etc. of the defect) of each fastener are extracted from the first type of detection data set obtained in step S440. The size deviation value of each fastener is calculated according to the standard size. The surface defect area of ​​each fastener is calculated according to the output result of the surface detection device.

[0037] Step S470, divide the fasteners into multiple size grades according to multiple size deviation thresholds, and divide the fasteners into multiple surface grades according to multiple surface defect area thresholds. Specifically, compare the size deviation value of each fastener with the set size deviation threshold, and divide the fasteners into different size grades according to the comparison result. Similarly, compare the surface defect area of ​​each fastener with the set surface defect area threshold, and divide the fasteners into different surface grades. Step S480, identify the fasteners in the first category of detection data sets by multiple size grades and multiple surface grades, and obtain multiple non-destructive testing results. Specifically, identify each fastener according to the size grade and surface grade divided in step 470. This identification contains comprehensive information about the size and surface quality of the fastener, and is a non-destructive testing result. These non-destructive testing results are stored in association with the fastener numbers for subsequent analysis and control. This implementation method can classify fasteners into different grades by setting dimensional deviation thresholds and surface defect area thresholds, making it easier to identify potential quality problems, providing strong data support for subsequent destructive testing, quality control and process improvements. By timely discovering and correcting quality problems, it achieves the technical effect of ensuring that the fasteners produced meet quality standards and improving the overall quality level of the product.

[0038] Step S500, set the sampling ratio, classify and extract the target fastener products according to the sampling ratio and multiple non-destructive testing results, and obtain multiple sampling fastener sets. Specifically, the target fastener products are classified and extracted according to the non-destructive testing results and the preset sampling ratio (the ratio of some products to be inspected in all products). The extracted fasteners form multiple sampling fastener sets for subsequent destructive testing.

[0039] In a possible implementation, a sampling ratio is set, and the target fastener product is classified and sampled according to the sampling ratio and multiple non-destructive testing results to obtain multiple sampling fastener sets. Step S500 further includes step S510, setting the sampling ratio of the target fastener product, and determining the total number of fastener sampling inspections according to the sampling ratio. Specifically, according to factors such as production batches, historical quality data, customer requirements, etc., an overall sampling ratio is determined, that is, the proportion of the number of fasteners planned to be sampled in the entire production batch or the current batch. According to this total sampling ratio and the total production volume (or current batch volume) of the target fastener product, the total number of fasteners to be sampled is calculated. Step S520, according to the size grades and surface grades corresponding to the multiple non-destructive testing results, multiple sampling grades of the multiple non-destructive testing results are obtained, and multiple sampling weights are set based on the multiple sampling grades, wherein the lower the sampling grade, the greater the corresponding sampling weight. Specifically, according to the obtained multiple non-destructive testing results (including size grades and surface grades), the fasteners are divided into different sampling grades. The classification of sampling inspection levels is based on the strictness of quality requirements. For example, fasteners with large dimensional deviations or serious surface defects are classified as lower sampling inspection levels. A sampling inspection weight is set for each sampling inspection level, wherein the lower the sampling inspection level (i.e., the higher the quality risk), the larger the corresponding sampling inspection weight, i.e., these fasteners will be selected more frequently in the sampling inspection. Step S530, multiple sampling inspection weights are used as the sampling inspection ratios of fasteners corresponding to multiple non-destructive testing results, combined with the total number of fastener sampling inspections, to obtain multiple sampling inspection numbers. Specifically, the sampling inspection weight of each sampling inspection level is converted into a sampling inspection ratio, and the total weight is obtained by adding the weights of each sampling inspection level, and then the weight of each sampling inspection level is divided by the total weight to obtain its sampling inspection ratio. According to the sampling inspection ratio and the total number of fastener sampling inspections, the number of fasteners to be sampled in each sampling inspection level is calculated. For example, if the sampling inspection ratio of a certain sampling inspection level is 30%, and the total number of fastener sampling inspections is 100, then 30 fasteners should be sampled for this level. Step S540, based on multiple sampling numbers, randomly sample the fasteners corresponding to the multiple non-destructive testing results to obtain multiple sampling fastener sets. Specifically, according to the multiple sampling numbers obtained in step 530, random sampling is performed on the fasteners of each sampling level. The sampling can be carried out in a variety of ways, such as using a random number generator, drawing lots, etc., to ensure that fasteners of each sampling level have a chance to be selected, and the selected number meets the sampling number determined in step 530. Finally, multiple sampling fastener sets are obtained, each set containing a certain number of fasteners from different sampling levels. This implementation method ensures that under a limited number of sampling inspections, those fasteners with higher quality risks are preferentially inspected by setting the total sampling ratio and sampling weight, thereby achieving the technical effect of maximizing the discovery of potential quality problems under limited inspection resources.

[0040] Step S600, performing destructive testing on the plurality of sampled fastener sets according to the second type of test scheme set, and obtaining a plurality of destructive testing results. Specifically, performing destructive testing on the plurality of sampled fastener sets according to the second type of test scheme set (destructive testing scheme set), collecting testing data, and forming destructive testing results.

[0041] In a possible implementation, destructive testing is performed on the plurality of sampled fastener sets according to the second test scheme set to obtain a plurality of destructive testing results. Step S600 further includes step S610, setting destructive testing parameters for destructive testing according to the second test scheme set, including tensile load parameters and salt spray test parameters. Specifically, the second test scheme set includes destructive testing schemes for target fastener products, which are intended to evaluate the mechanical properties and corrosion resistance of fasteners through destructive or corrosive testing. A specific destructive testing scheme is selected from the second test scheme set, and the test parameters required for the tensile test and the salt spray test are determined according to the selected scheme. Among them, the tensile load parameter is the maximum tensile force or stress value that the fastener can withstand in the tensile test, which is used to evaluate its mechanical strength. The salt spray test parameter is the condition of simulating the marine environment or the corrosive environment in the salt spray test, including the salt spray concentration, the spray rate, the test temperature and the time, etc., which are used to evaluate the corrosion resistance of the fastener. Step S620, a tensile test is performed on the fasteners in the plurality of sampled fastener sets to obtain the mechanical property test results of each fastener. Specifically, a tensile test machine is used to perform a tensile test on each fastener in the sampled fastener set. The tensile test is a destructive test that measures the breaking point or yield point of the fastener by applying a gradually increasing tensile force, thereby evaluating its mechanical properties. The breaking point or yield point of each fastener and the related mechanical property data are recorded, and the data are collated and analyzed to obtain the mechanical property test results of each fastener, including tensile strength, yield strength, etc.

[0042] Step S630, salt spray test is performed on the fasteners in the multiple sampled fastener sets to obtain the corrosion resistance test results of each fastener. Specifically, a salt spray test chamber is used to perform a salt spray test on each fastener in the sampled fastener set, and the corrosion resistance of the fastener is evaluated by exposing the fastener to a salt spray environment. After the test, the corrosion condition of each fastener is checked and recorded, and the corrosion data is sorted and analyzed to obtain the corrosion resistance test results of each fastener, including corrosion rate, corrosion depth, etc. Step S640, summarize the mechanical property test results and corrosion resistance test results of each fastener in the multiple sampled fastener sets to obtain multiple destructive test results. Specifically, the mechanical property and corrosion resistance test results of fasteners from different sampled fastener sets are merged and sorted. The sorted results are merged into a comprehensive data set, i.e., multiple destructive test results. This implementation ensures the accuracy and comparability of test results by setting specific destructive test parameters (such as tensile load parameters and salt spray test parameters). Tensile tests and salt spray tests are used to evaluate the mechanical strength and corrosion resistance of fasteners, respectively. By summarizing and analyzing the test results of multiple sampled fastener sets, a comprehensive conclusion about the quality status of the entire production batch can be drawn, thereby providing strong data support for production control, and achieving the technical effect of helping to promptly discover and solve problems in production and improve product quality and production efficiency.

[0043] Step S700, based on the multiple nondestructive testing results and the multiple destructive testing results, a global analysis result of fastener production is generated, and the production of the target fastener product is controlled based on the global analysis result of fastener production. Specifically, the nondestructive testing results and the destructive testing results are comprehensively analyzed to generate a global analysis result of fastener production. According to the global analysis result, the production of the target fastener product is controlled, such as adjusting the production process, optimizing the test plan, etc., to ensure product quality and production efficiency. The embodiment of the present application adopts the method of establishing quality requirements for target fastener products, including mechanical performance requirements, appearance requirements, and corrosion resistance requirements, etc., constructing a fastener test solution library based on big data, and configuring the target test solution library for the target fastener products in combination with the quality requirements, dividing the target test solution library into two categories: non-destructive testing solutions and destructive testing solutions, which are used for preliminary screening and in-depth testing respectively, performing preliminary screening on the target fastener products through the non-destructive testing solutions, obtaining a variety of non-destructive testing results, classifying and extracting the target fastener products according to the sampling ratio and the non-destructive testing results, obtaining a plurality of sampled fastener sets, performing destructive testing on the sampled fastener sets, obtaining a plurality of destructive testing results, generating global analysis results of fastener production based on the non-destructive testing results and the destructive testing results, and performing production control on the target fastener products according to the analysis results, etc., achieving the technical effect of reducing testing costs and improving production efficiency under the premise of ensuring product quality stability.

[0044] In a possible implementation, a global analysis result of fastener production is generated based on the multiple nondestructive testing results and the multiple destructive testing results. Step S700 further includes step S710, inputting the multiple nondestructive testing results and the multiple destructive testing results into the association analysis model to establish an association relationship between the nondestructive testing results and the destructive testing results. Specifically, data cleaning is performed on the nondestructive testing results and the destructive testing results to remove abnormal values ​​or invalid data to ensure the quality of the input data. Key features are extracted from the nondestructive testing results and the destructive testing results, and these features can represent the key performance indicators of the fastener products. The association analysis model is trained using a machine learning algorithm, with the input being the features of the nondestructive testing results and the output being the corresponding features of the destructive testing results. Through continuous iterative training, the model can learn the association relationship between the nondestructive testing results and the destructive testing results. Step S720, based on the association relationship, the destructive testing results of multiple sampled fastener sets are used to predict the performance indicators of the fasteners that have not been destructively tested, and obtain the predicted performance distribution of the target fastener products. Specifically, the trained association analysis model is used to predict the destructive inspection results of fasteners that have not undergone destructive inspection based on the nondestructive inspection results. According to the prediction results, the performance index distribution of the target fastener product, such as strength, hardness, corrosion resistance, etc., is calculated. Step S730, the predicted performance distribution is compared with the quality requirements, the quality satisfaction rate of the target fastener product is evaluated, and the global analysis results of fastener production are generated. Specifically, the predicted performance distribution is compared with the quality requirements to determine whether each performance index meets the requirements. The proportion of the number of fasteners that meet the quality requirements to the total number is calculated to obtain the quality satisfaction rate. According to the quality satisfaction rate and other relevant information, the global analysis results of fastener production are generated, including the distribution of quality problems, possible causes and improvement suggestions. This implementation method uses the association analysis model to establish the association relationship between the nondestructive inspection results and the destructive inspection results, realizes the accurate prediction of uninspected fasteners, reduces the number of destructive inspections, reduces costs and improves inspection efficiency, and achieves the technical effect of realizing global control of fastener production and improving production efficiency and product quality.

[0045] In a possible implementation, the target fastener product is subjected to production control based on the global analysis result of the fastener production, and step S700 further includes step S740, establishing abnormal risk points of the target fastener product based on the quality requirements. Specifically, the quality requirements established in step S100 are refined, and the specific requirements of each quality indicator are clarified, such as the tensile strength and yield strength of mechanical properties, the surface defect rate of appearance, the salt spray test time of corrosion resistance, etc. According to the refined quality requirements, combined with the actual experience and historical data of fastener production, the abnormal risk points that may lead to substandard quality are identified, including raw material quality problems, improper production process parameters, equipment failures, etc. The identified abnormal risk points are evaluated to determine the quality problems and severity they may cause, and they are graded according to the evaluation results, and the identified and graded abnormal risk points are included in the monitoring system, and monitoring indicators and thresholds are set to monitor and warn in real time during the production process. Step S750, when the abnormal risk point is triggered by the global analysis result of the fastener production, the target fastener product is subjected to production control. Specifically, the generated global analysis results of fastener production are monitored in real time, and attention is paid to the changing trends and abnormal situations of various quality indicators. When one or more quality indicators in the global analysis results reach or exceed the set abnormal risk point threshold, it is determined to trigger an abnormal risk point. According to the type of abnormal risk point triggered, formulate corresponding production control measures, including adjusting production process parameters, changing raw material suppliers, shutting down and repairing equipment, etc. Implement the formulated production control measures and continuously monitor their effects to ensure that quality indicators are improved and prevent similar problems from happening again. This implementation method establishes abnormal risk points and a monitoring system. When the global analysis results trigger abnormal risk points, it can quickly locate the problem and formulate corresponding production control measures to achieve precise control, improve product quality and production efficiency, and reduce quality costs.

[0046] In the above, refer to Figure 1 The global control method for fastener production according to an embodiment of the present invention is described in detail. Figure 2 A global management and control platform for fastener production according to an embodiment of the present invention is described.

[0047] The global control platform for fastener production according to the embodiment of the present invention is used to solve the technical problems of high detection cost and low production efficiency in the existing control for fastener production, so as to achieve the technical effect of reducing detection cost and improving production efficiency under the premise of ensuring product quality stability. The global control platform for fastener production includes: a quality requirement establishment module 10, a target test solution library configuration module 20, a solution library division module 30, a non-destructive testing module 40, a classification extraction module 50, a destructive testing module 60, and a production control module 70.

[0048] The quality requirement establishment module 10 is used to establish the quality requirements of the target fastener products, wherein the quality requirements include mechanical performance requirements, appearance requirements, and corrosion resistance requirements; the target test solution library configuration module 20 is used to build a fastener test solution library based on big data, and configure the target test solution library of the target fastener products in combination with the quality requirements; the solution library division module 30 is used to divide the target test solution library into a first type of test solution set and a second type of test solution set, wherein the first type of test solution set is a non-destructive testing solution for the target fastener products, and the second type of test solution set is a destructive testing solution for the target fastener products; the non-destructive testing module 40 is used to test the target fastener products according to the first type of test solution set. The target fastener product is subjected to nondestructive testing to obtain a first type of test data set, and the first type of test data set is analyzed to obtain a plurality of nondestructive testing results; the classification extraction module 50 is used to set the sampling ratio, and the target fastener product is classified and extracted according to the sampling ratio and the plurality of nondestructive testing results to obtain a plurality of sampled fastener sets; the destructive testing module 60 is used to perform destructive testing on the plurality of sampled fastener sets according to the second type of test scheme set to obtain a plurality of destructive testing results; the production control module 70 is used to generate a global analysis result of fastener production based on the plurality of nondestructive testing results and the plurality of destructive testing results, and to perform production control on the target fastener product based on the global analysis result of fastener production.

[0049] The specific configuration of the nondestructive testing module 40 will be described in detail below. As described above, the target fastener product is subjected to nondestructive testing according to the first type of test scheme set to obtain a first type of test data set. The nondestructive testing module 40 may further include: a test area setting unit for setting a size test area and a surface test area on the fastener production line; a test area configuration unit for obtaining a standard fastener size and a standard fastener surface of the target fastener product according to the quality requirements, configuring the size test area with the standard fastener size, and configuring the surface test area with the standard fastener surface; a fastener detection unit for allowing the fastener to pass through the configured size test area and surface test area in sequence, and obtaining a size test result and a surface test result of each fastener; a first type of test data set acquisition unit for setting a fastener number for each fastener, and storing the fastener number in association with the corresponding size test result and surface test result, and obtaining a first type of test data set.

[0050] Among them, the first type of detection data set is analyzed to obtain multiple non-destructive testing results. The non-destructive testing module 40 may further include: a threshold setting unit is used to set multiple size deviation thresholds and multiple surface defect area thresholds according to the quality requirements; a calculation unit is used to extract the size detection results and surface detection results in the first type of detection data set, and calculate the size deviation value and surface defect area of ​​each fastener respectively; a grade classification unit is used to classify the fasteners into multiple size grades according to multiple size deviation thresholds, and classify the fasteners into multiple surface grades according to multiple surface defect area thresholds; a multiple non-destructive testing result acquisition unit is used to identify the fasteners in the first type of detection data set through multiple size grades and multiple surface grades to obtain multiple non-destructive testing results.

[0051] The specific configuration of the classification extraction module 50 will be described in detail below. As described above, the sampling ratio is set, and the target fastener products are classified and extracted according to the sampling ratio and multiple non-destructive testing results to obtain multiple sampling fastener sets. The classification extraction module 50 may further include: a fastener total number determination unit is used to set the sampling ratio of the target fastener products, and determine the total number of fastener sampling according to the sampling ratio; multiple sampling weight setting units are used to obtain multiple sampling levels of multiple non-destructive testing results according to the size grades and surface grades corresponding to the multiple non-destructive testing results, and set multiple sampling weights based on the multiple sampling levels, wherein the lower the sampling level, the greater the corresponding sampling weight; multiple sampling number acquisition units are used to use the multiple sampling weights as the sampling ratios of the fasteners corresponding to the multiple non-destructive testing results, combined with the total number of fastener sampling, to obtain multiple sampling numbers; random sampling units are used to perform random sampling on the fasteners corresponding to the multiple non-destructive testing results based on the multiple sampling numbers, and obtain multiple sampling fastener sets.

[0052] The specific configuration of the destructive detection module 60 will be described in detail below. As described above, destructive detection is performed on the multiple sampled fastener sets according to the second type of test scheme set to obtain multiple destructive detection results. The destructive detection module 60 may further include: a destructive test parameter setting unit for setting destructive test parameters for destructive detection according to the second type of test scheme set, including tensile load parameters and salt spray test parameters; a tensile test unit for performing tensile tests on the fasteners in the multiple sampled fastener sets to obtain the mechanical property test results of each fastener; a salt spray test unit for performing salt spray tests on the fasteners in the multiple sampled fastener sets to obtain the corrosion resistance test results of each fastener; and multiple destructive test result acquisition units for summarizing the mechanical property test results and corrosion resistance test results of each fastener in the multiple sampled fastener sets to obtain multiple destructive test results.

[0053] The specific configuration of the production control module 70 will be described in detail below. As described above, based on the multiple non-destructive testing results and multiple destructive testing results, the global analysis results of fastener production are generated. The production control module 70 may further include: a correlation analysis unit for inputting the multiple non-destructive testing results and multiple destructive testing results into a correlation analysis model to establish a correlation relationship between the non-destructive testing results and the destructive testing results; a performance index prediction unit for predicting the performance index of fasteners that have not been destructively tested based on the correlation relationship and using the destructive testing results of multiple sampled fastener sets to obtain the predicted performance distribution of the target fastener product; a quality satisfaction rate evaluation unit for comparing the predicted performance distribution with the quality requirements, evaluating the quality satisfaction rate of the target fastener product, and generating a global analysis result of fastener production.

[0054] Among them, the production control of the target fastener product is carried out based on the global analysis result of the fastener production, and the production control module 70 may further include: an abnormal risk point establishment unit is used to establish abnormal risk points of the target fastener product based on quality requirements; and a production control unit is used to carry out production control of the target fastener product when the global analysis result of the fastener production triggers the abnormal risk point.

[0055] The global control platform for fastener production provided by the embodiment of the present invention can execute the global control method for fastener production provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0056] Although the present application makes various references to certain modules in the platform according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0057] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A global control method for fastener production, characterized in that: The method comprises: Establishing quality requirements for target fastener products, wherein the quality requirements include mechanical performance requirements, appearance requirements, and corrosion resistance requirements; Building a fastener test solution library based on big data, and configuring a target test solution library for target fastener products in combination with the quality requirements; Dividing the target test solution library into a first test solution set and a second test solution set, wherein the first test solution set is a non-destructive testing solution for the target fastener product, and the second test solution set is a destructive testing solution for the target fastener product; Performing nondestructive testing on the target fastener product according to the first test solution set to obtain a first test data set, and analyzing the first test data set to obtain a plurality of nondestructive testing results; Setting a sampling ratio, and classifying and sampling the target fastener products according to the sampling ratio and multiple nondestructive testing results to obtain multiple sampling fastener sets; Performing destructive testing on the plurality of sampled fastener sets according to the second type of test scheme set to obtain a plurality of destructive testing results; A global analysis result of fastener production is generated based on the multiple nondestructive testing results and the multiple destructive testing results, and production control of the target fastener product is performed based on the global analysis result of fastener production.

2. The global control method for fastener production according to claim 1, characterized in that: Performing nondestructive testing on the target fastener product according to the first test solution set to obtain a first test data set, including: Set up size inspection area and surface inspection area on the fastener production line; Acquire a standard fastener size and a standard fastener surface of a target fastener product according to the quality requirement, configure the size detection area according to the standard fastener size, and configure the surface detection area according to the standard fastener surface; Allow the fasteners to pass through the configured size inspection area and surface inspection area in sequence, and obtain the size inspection result and surface inspection result of each fastener; A fastener number is set for each fastener, and the fastener number is associated with the corresponding size detection result and surface detection result for storage to obtain a first type of detection data set.

3. The global control method for fastener production according to claim 2, characterized in that: The first type of test data set is analyzed to obtain a variety of non-destructive testing results, including: According to the quality requirements, multiple size deviation thresholds and multiple surface defect area thresholds are set; Extracting the size inspection results and the surface inspection results in the first type of inspection data set, and respectively calculating the size deviation value and the surface defect area of ​​each fastener; Classifying the fasteners into a plurality of size classes according to a plurality of size deviation thresholds, and classifying the fasteners into a plurality of surface classes according to a plurality of surface defect area thresholds; The fasteners in the first type of inspection data set are identified by multiple size grades and multiple surface grades to obtain multiple non-destructive inspection results.

4. The global control method for fastener production according to claim 1, characterized in that: The sampling ratio is set, and the target fastener products are classified and sampled according to the sampling ratio and the multiple non-destructive testing results to obtain multiple sampling fastener sets, including: Set the sampling ratio of the target fastener products, and determine the total number of fasteners to be sampled according to the sampling ratio; According to the size grades and surface grades corresponding to the multiple nondestructive testing results, multiple sampling grades of the multiple nondestructive testing results are obtained, and multiple sampling weights are set based on the multiple sampling grades, wherein the lower the sampling grade, the greater the corresponding sampling weight; The multiple sampling weights are used as the sampling ratios of the fasteners corresponding to the multiple non-destructive testing results, and combined with the total number of fastener sampling inspections, multiple sampling quantities are obtained; Based on multiple sampling quantities, fasteners corresponding to multiple nondestructive testing results are randomly sampled to obtain multiple sampled fastener sets.

5. The global control method for fastener production according to claim 1, characterized in that: Performing destructive testing on the plurality of sampled fastener sets according to the second type of test scheme set to obtain a plurality of destructive testing results, including: According to the second test scheme set, setting the destructive test parameters of the destructive testing, including tensile load parameters and salt spray test parameters; Conducting tensile tests on fasteners in a set of multiple sampled fasteners to obtain mechanical property test results for each fastener; Conduct salt spray tests on fasteners in a set of multiple sampled fasteners to obtain corrosion resistance test results for each fastener; The mechanical property test results and corrosion resistance test results of each fastener in multiple sampled fastener sets are summarized to obtain multiple destructive test results.

6. The global control method for fastener production according to claim 1, characterized in that: Generate fastener production global analysis results based on the multiple nondestructive testing results and the multiple destructive testing results, including: Inputting the plurality of nondestructive testing results and the plurality of destructive testing results into a correlation analysis model to establish a correlation relationship between the nondestructive testing results and the destructive testing results; Based on the association, using the destructive test results of multiple sampled fastener sets, predicting the performance indicators of fasteners that have not been destructively tested, and obtaining the predicted performance distribution of the target fastener product; The predicted performance distribution is compared with the quality requirements, the quality satisfaction rate of the target fastener product is evaluated, and a global analysis result of fastener production is generated.

7. The global control method for fastener production according to claim 1, characterized in that: The target fastener product is controlled and managed based on the global analysis result of fastener production, including: Establish abnormal risk points of target fastener products based on quality requirements; When the global analysis result of fastener production triggers the abnormal risk point, production control is performed on the target fastener product.

8. A global control platform for fastener production, characterized by: The platform is used to implement the global control method for fastener production according to any one of claims 1 to 7, and the platform includes: A quality requirement establishment module, wherein the quality requirement establishment module is used to establish quality requirements of target fastener products, wherein the quality requirements include mechanical performance requirements, appearance requirements, and corrosion resistance requirements; A target test solution library configuration module, wherein the target test solution library configuration module is used to construct a fastener test solution library based on big data, and configure the target test solution library of the target fastener product in combination with the quality requirements; A solution library division module, the solution library division module is used to divide the target test solution library into a first type of test solution set and a second type of test solution set, wherein the first type of test solution set is a non-destructive testing solution for the target fastener product, and the second type of test solution set is a destructive testing solution for the target fastener product; A nondestructive testing module, the nondestructive testing module is used to perform nondestructive testing on the target fastener product according to the first type of test scheme set, obtain a first type of test data set, and analyze the first type of test data set to obtain multiple nondestructive testing results; A classification extraction module, the classification extraction module is used to set a sampling ratio, and classify and extract the target fastener products according to the sampling ratio and multiple non-destructive testing results to obtain multiple sampling fastener sets; A destructive testing module, the destructive testing module is used to perform destructive testing on the plurality of sampled fastener sets according to the second type of test scheme set, and obtain a plurality of destructive testing results; A production control module, the production control module is used to generate a global analysis result of fastener production based on the multiple non-destructive testing results and the multiple destructive testing results, and to perform production control on the target fastener product based on the global analysis result of fastener production.

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