Connector terminal quality detection method and device combined with auxiliary induction

Abstract

The invention discloses a connector terminal quality detection method and device combined with auxiliary induction, and relates to the technical field of intelligent detection, and the method comprises the steps: carrying out the external feature precision detection of a to-be-detected terminal set, and generating a terminal quality detection first result; based on the terminal model, scene mining is carried out in combination with the terminal use scene factors, H terminal detection scenes are constructed, application performance detection is carried out, a second terminal quality detection result is obtained, and a connector terminal quality detection report is generated in combination with the first terminal quality detection result. According to the terminal detection method and device, the technical problems that in the prior art, a traditional detection method only pays attention to basic physical parameters of a terminal, specific use scenes are ignored, and the comprehensiveness and precision of a detection result are low are solved; the comprehensive quality detection of the connector terminal from outside to inside and from static state to dynamic state is realized, and the comprehensiveness and precision of the quality detection of the connector terminal are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent detection technology, and in particular to a connector terminal quality detection method and device combined with auxiliary induction. Background Art

[0002] As a key component of electrical connection, the quality of connector terminals directly affects the stability and safety of the entire electrical system. Quality inspection can promptly detect problems such as breakage, looseness, and oxidation of terminals, thereby preventing equipment short circuits, insulation damage, voltage instability and other failures caused by these problems, and improving equipment safety. However, traditional detection methods often only focus on the basic physical parameters of terminals, while ignoring their performance in specific usage scenarios, and the comprehensiveness and accuracy of the test results are low. This solution sets terminal usage scenario factors (such as usage environment, application equipment model, application voltage and current, etc.) and constructs multiple detection scenarios to make the test results closer to actual usage. Summary of the invention

[0003] The present application provides a connector terminal quality detection method and device combined with auxiliary induction, which is used to solve the technical problem that the traditional detection method in the prior art only focuses on the basic physical parameters of the terminal, ignores its performance in specific usage scenarios, and the comprehensiveness and accuracy of the detection results are low.

[0004] In a first aspect of the present application, a connector terminal quality detection method combined with auxiliary induction is provided, the method comprising: obtaining a terminal set to be detected, wherein the terminal set to be detected comprises a plurality of connector terminals, wherein the plurality of connector terminals have the same terminal model and terminal production process; performing external feature accuracy detection on the terminal set to be detected according to an auxiliary induction module, and generating a first terminal quality detection result; setting a terminal usage scenario factor, wherein the terminal usage scenario factor comprises a terminal usage environment, a terminal application device model, and a terminal application voltage and current; based on the terminal model, terminal usage scenario mining is performed in combination with the terminal usage scenario factor, and H terminal detection scenarios are constructed, wherein H is a positive integer greater than 1; based on the H terminal detection scenarios, application performance detection is performed on the plurality of connector terminals, and a second terminal quality detection result is obtained; based on a terminal quality detection report template, the first terminal quality detection result and the second terminal quality detection result are sorted to generate a connector terminal quality detection report.

[0005] In a second aspect of the present application, a connector terminal quality detection device combined with auxiliary induction is provided, the device comprising: a terminal set acquisition module to be detected, the terminal set acquisition module to be detected is used to obtain a terminal set to be detected, wherein the terminal set to be detected includes multiple connector terminals, wherein the multiple connector terminals have the same terminal model and terminal production process; an external feature accuracy detection module, the external feature accuracy detection module is used to perform external feature accuracy detection on the terminal set to be detected according to the auxiliary induction module, and generate a first terminal quality detection result; a terminal usage scenario factor setting module, the terminal usage scenario factor setting module is used to set a terminal usage scenario factor, wherein the terminal usage scenario factor includes a terminal usage environment factor. environment, terminal application equipment model and terminal application voltage and current; a terminal usage scenario mining module, the terminal usage scenario mining module is used to perform terminal usage scenario mining based on the terminal model and in combination with the terminal usage scenario factor, and construct H terminal detection scenarios, where H is a positive integer greater than 1; an application performance detection module, the application performance detection module is used to perform application performance detection on the multiple connector terminals based on the H terminal detection scenarios, and obtain a second terminal quality detection result; a terminal quality inspection report generation module, the terminal quality inspection report generation module is used to organize the first terminal quality detection result and the second terminal quality detection result based on the terminal quality detection report template, and generate a connector terminal quality detection report.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: The connector terminal quality detection method and device combined with auxiliary induction provided in the present application relate to the field of intelligent detection technology. The first terminal quality detection result is generated by performing external feature accuracy detection on the terminal set to be detected. Based on the terminal model, scenario mining is performed in combination with the terminal usage scenario factor to construct H terminal detection scenarios to perform application performance detection, obtain the second terminal quality detection result, sort out the first terminal quality detection result and the second terminal quality detection result, and generate a connector terminal quality detection report. The technical problem that the traditional detection method in the prior art only focuses on the basic physical parameters of the terminal, ignores its performance in the specific usage scenario, and the comprehensiveness and accuracy of the detection result are low. By combining the auxiliary sensing technology and the usage scenario simulation, the comprehensive quality detection of the connector terminal from the outside to the inside and from the static to the dynamic is realized, which can effectively improve the technical effect of product quality and customer satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic flow chart of a connector terminal quality detection method combined with auxiliary induction provided in an embodiment of the present application; Figure 2 A schematic diagram of a process for constructing H terminal detection scenarios in a connector terminal quality detection method combined with auxiliary induction provided in an embodiment of the present application; Figure 3 A schematic structural diagram of a connector terminal quality detection device combined with auxiliary induction provided in an embodiment of the present application.

[0009] Explanation of the reference numerals: module for acquiring terminal sets to be detected 11, module for detecting external feature accuracy 12, module for setting terminal usage scenario factors 13, module for mining terminal usage scenarios 14, module for detecting application performance 15, module for generating terminal quality inspection reports 16. DETAILED DESCRIPTION

[0010] The present application provides a connector terminal quality detection method and device combined with auxiliary induction, which is used to solve the technical problem that the traditional detection method in the prior art only focuses on the basic physical parameters of the terminal, ignores its performance in specific usage scenarios, and the comprehensiveness and accuracy of the detection results are low.

[0011] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0012] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, 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.

[0013] Embodiment 1 like Figure 1 As shown, the present application provides a connector terminal quality detection method combined with auxiliary induction, the method comprising: P10: Obtain a terminal set to be detected, wherein the terminal set to be detected includes a plurality of connector terminals, wherein the plurality of connector terminals have the same terminal model and terminal production process.

[0014] Specifically, in the initial stage of connector terminal quality inspection, it is necessary to first obtain the terminal set to be inspected. The core of this step is to ensure the consistency of the selected terminal samples so that the results of subsequent inspections are comparable and accurate. First of all, the terminal set to be inspected refers to a batch of terminals selected from the production line or inventory for quality inspection. In order to ensure the validity of the test results, these terminals must have the same terminal model and terminal production process. Among them, the terminal model refers to the specific specifications and type number of each terminal. Terminals of the same model are designed to have the same size, shape and electrical characteristics to ensure that there will be no deviation in the results due to different models during the inspection process. The terminal production process refers to the manufacturing process and technical specifications of the terminals. The same production process means that these terminals undergo the same processing steps, use the same materials and equipment during the production process, so as to maintain consistency in physical properties and quality.

[0015] Exemplarily, the specific terminal extraction step may be to randomly or according to a specified ratio extract terminal samples from the production batch to ensure that the samples are representative. And confirm the consistency of the extracted terminal model and production process to avoid mixing terminals of different models or different processes. Then, the selected terminal samples are recorded in detail, including information such as terminal model, production batch, and production date. This information will serve as an important basis for subsequent test data analysis. Finally, each terminal to be tested is numbered and marked to ensure that the test results of each terminal can be accurately tracked during the test process.

[0016] P20: According to the auxiliary sensing module, external feature accuracy detection is performed on the terminal set to be detected to generate a first terminal quality detection result.

[0017] Furthermore, step P20 of the embodiment of the present application further includes: P21: According to the auxiliary sensing module, the external feature accuracy of the multiple connector terminals is detected to obtain multiple terminal external feature accuracy coefficients; P22: According to the multiple terminal external feature accuracy coefficients, the centralized value is calculated to obtain the terminal external feature accuracy centralized value; P23: The inverse of the standard deviation of the multiple terminal external feature accuracy coefficients is calculated to generate the terminal external feature accuracy stability coefficient; P24: The multiple terminal external feature accuracy coefficients, the terminal external feature accuracy centralized value and the terminal external feature accuracy stability coefficient are added to the first result of the terminal quality detection.

[0018] It should be understood that in the process of connector terminal quality inspection, external feature accuracy inspection is a crucial link. This step aims to accurately measure the external features of the terminal by using an auxiliary sensing module to ensure that the size and shape of the terminal meet the design specifications.

[0019] First, use the auxiliary sensing module to perform external feature accuracy detection on each terminal in the terminal set to be detected. The auxiliary sensing module usually includes high-resolution camera equipment and precision measurement sensors to capture the tiny details of the terminal. These detection devices measure the size, shape and surface features of each terminal and generate multiple terminal external feature accuracy coefficients. These accuracy coefficients are numerical values ​​that reflect the accuracy of various external features of the terminal.

[0020] Next, a centralized value is calculated based on the obtained multiple terminal external feature accuracy coefficients. The centralized value calculation method can be an average value, a median, or other appropriate statistical methods to obtain a centralized value of the external feature accuracy of a group of terminals. This centralized value can reflect the overall level of the external feature accuracy of the entire terminal set to be tested.

[0021] In order to further evaluate the quality stability of the terminal, it is necessary to calculate the standard deviation of multiple terminal external feature accuracy coefficients. Standard deviation is an important indicator to measure the degree of dispersion of a set of data. In this step, the terminal external feature accuracy stability coefficient is generated by calculating the reciprocal of the standard deviation of these coefficients. This stability coefficient can help evaluate the consistency and stability of the terminal external features. The smaller the standard deviation, the larger the stability coefficient, indicating that the terminal external feature accuracy is more stable.

[0022] Finally, the multiple terminal external feature accuracy coefficients, terminal external feature accuracy concentration values ​​and terminal external feature accuracy stability coefficients obtained above are added to the first result of terminal quality inspection. This result includes detailed external feature accuracy inspection data, which provides an important basis for subsequent quality evaluation and improvement.

[0023] Furthermore, step P21 of the embodiment of the present application further includes: P21-1: According to the auxiliary sensing module, the external characteristic parameters of the multiple connector terminals are collected to obtain the first terminal external characteristic dimension information and the first terminal external characteristic surface parameters; P21-2: According to the terminal production process, the predetermined terminal external characteristic dimension information is extracted; P21-3: Based on the predetermined terminal external characteristic dimension information, the first terminal external characteristic dimension information is evaluated for dimensional accuracy to obtain the first terminal dimensional accuracy evaluation coefficient; P21-4: According to the first terminal external characteristic surface parameters, the surface accuracy evaluation coefficient is evaluated to obtain the first terminal surface accuracy evaluation coefficient; P21-5: According to the external characteristic accuracy detection weight, the first terminal dimensional accuracy evaluation coefficient and the first terminal surface accuracy evaluation coefficient are weightedly calculated to obtain the first terminal external characteristic accuracy coefficient, and the first terminal external characteristic accuracy coefficient is added to the multiple terminal external characteristic accuracy coefficients.

[0024] Optionally, the specific process of obtaining the external feature accuracy coefficients of multiple terminals through external feature accuracy detection may be, first, collecting the external feature parameters of multiple connector terminals through the auxiliary sensing module. These parameters include the first terminal external feature size information and the first terminal external feature surface parameters. The size information involves the geometric dimensions of the terminal such as length, width, height, etc., while the surface parameters involve the surface roughness, smoothness and other characteristics of the terminal.

[0025] Furthermore, according to the production process of the terminal, the predetermined terminal external characteristic dimension information is extracted. These predetermined dimension information are ideal dimension parameters predefined according to the design specifications and production standards, which serve as a comparison benchmark for the actual detection dimensions. Based on the predetermined terminal external characteristic dimension information, the dimensional accuracy of the collected first terminal external characteristic dimension information is evaluated. By calculating the deviation between the actual dimension and the predetermined dimension, the first terminal dimension accuracy evaluation coefficient is obtained. This evaluation coefficient quantifies the accuracy of the terminal dimension. The smaller the deviation, the higher the accuracy evaluation coefficient.

[0026] Furthermore, the surface accuracy is evaluated based on the collected surface parameters of the first terminal. The surface accuracy evaluation coefficient of the first terminal can be obtained by analyzing the uniformity and flatness of the surface parameters. This evaluation coefficient reflects the accuracy of the terminal surface quality. The more the parameters meet the design requirements, the higher the accuracy evaluation coefficient.

[0027] Finally, according to the weight standard of external feature accuracy detection, the first terminal size accuracy evaluation coefficient and the first terminal surface accuracy evaluation coefficient are weightedly calculated to obtain the first terminal external feature accuracy coefficient. The weighted calculation takes into account the different effects of size and surface features on terminal quality to ensure the accuracy of the comprehensive evaluation. Finally, the calculated first terminal external feature accuracy coefficient is added to multiple terminal external feature accuracy coefficient sets.

[0028] P30: Set the terminal usage scenario factor, where the terminal usage scenario factor includes the terminal usage environment, the terminal application equipment model, and the terminal application voltage and current.

[0029] Specifically, in the process of connector terminal quality inspection, in order to ensure the reliability and applicability of the terminals in actual applications, it is necessary to set terminal usage scenario factors. These factors cover the terminal usage environment, application equipment model, and application voltage and current.

[0030] The terminal use environment includes the physical environmental conditions in which the terminal is located in actual application. These conditions may include temperature, humidity, vibration, corrosive media, etc. In order to accurately evaluate the environmental adaptability of the terminal, it is necessary to list in detail the environmental factors that may affect the performance of the terminal. For example, a high temperature environment may cause thermal expansion of the terminal material, while a high humidity environment may cause corrosion of the terminal. Environmental simulation experimental equipment (such as high and low temperature test chambers, salt spray test chambers, etc.) can be used to reproduce the use conditions of the terminal in different environments and record the performance changes of the terminal in these environments.

[0031] The terminal application equipment model refers to the specific equipment model where the terminal will be installed and used. Different equipment may have different requirements for terminals, such as mechanical connection method, electrical interface type, etc. Understanding the terminal application equipment model can help identify and prevent potential compatibility issues. Technical specifications and user manuals of various equipment can be collected and analyzed to ensure the compatibility and performance of the terminals in these equipment.

[0032] The terminal application voltage and current refer to the electrical parameters that the terminal needs to withstand during operation. These parameters include the operating voltage range and the operating current intensity. Different application scenarios may have different requirements for the electrical performance of the terminal. For example, high voltage and high current applications have higher requirements for the insulation and conductivity of the terminal. The electrical performance of the terminal can be tested by electrical testing equipment (such as a withstand voltage tester, a current tester, etc.) to ensure that the terminal can work stably within the designed voltage and current range.

[0033] In the process of setting the terminal usage scenario factor, it is first necessary to analyze in detail the possible usage environment of the terminal, including factors such as temperature, humidity, vibration and corrosion. Next, determine the specific equipment model where the terminal will be installed and used to ensure that the terminal is compatible with the equipment and can work properly. Finally, clarify the electrical parameters of the terminal in actual application, including the operating voltage and current range, and ensure that the electrical performance of the terminal meets the requirements through corresponding electrical tests. By setting the terminal usage scenario factor, the performance of the terminal in actual application can be fully understood and evaluated, providing an important basis for subsequent performance testing and quality control.

[0034] P40: Based on the terminal model and in combination with the terminal usage scenario factor, terminal usage scenario mining is performed to construct H terminal detection scenarios, where H is a positive integer greater than 1.

[0035] Further, such as Figure 2 As shown, step P40 of the embodiment of the present application also includes: P41: searching for terminals of the same model according to the terminal model to obtain a plurality of sample connector terminals; P42: collecting usage scenario parameters according to the plurality of sample connector terminals based on the terminal usage scenario factor to obtain a plurality of historical terminal usage scenario information; P43: Perform constraint interval analysis based on the multiple historical terminal usage scenario information to determine multiple terminal usage scenario constraints; P44: Based on the terminal usage scenario factors, set usage scenario parameters according to the multiple terminal usage scenario constraints to obtain a terminal test scenario set; P45: Perform comparison optimization based on the terminal test scenario set to generate the H terminal detection scenarios.

[0036] It should be understood that in order to comprehensively evaluate the performance and reliability of connector terminals, it is necessary to conduct in-depth usage scenario mining based on terminal models and usage scenario factors, and build multiple detection scenarios. First, search for terminals of the same model based on the terminal model to obtain multiple sample connector terminals. These sample terminals have the same model and production process to ensure consistency and comparability in subsequent analysis.

[0037] Furthermore, based on the terminal usage scenario factors, the usage scenario parameters of the obtained multiple sample connector terminals are collected. By collecting parameter data of these terminals in actual use (such as working environment, equipment model, voltage and current, etc.), multiple historical terminal usage scenario information is obtained. And based on the collected multiple historical terminal usage scenario information, constraint interval analysis is performed to determine multiple terminal usage scenario constraints. These constraints define the working range and performance limitations of the terminal under different usage conditions, which helps to identify potential problems of the terminal in various scenarios.

[0038] Furthermore, based on the terminal usage scenario factors and the determined multiple terminal usage scenario constraints, the usage scenario parameters are set. By combining actual application requirements and historical data, a comprehensive terminal test scenario set is constructed to ensure that all possible usage conditions and environments are covered. Finally, based on the constructed terminal test scenario set, the comparison degree is optimized to generate H terminal detection scenarios (H is a positive integer greater than 1). This step optimizes the comparison degree to ensure that the generated detection scenarios can effectively evaluate the performance and reliability of the terminals, providing a comprehensive and scientific basis for subsequent quality inspections.

[0039] Furthermore, step P45 of the embodiment of the present application also includes: P45-1: Perform pairwise comparisons according to the terminal test scene set to obtain multiple scene comparison degrees; P45-2: Determine whether the multiple scene comparison degrees are less than the preset scene comparison degrees; P45-3: If the scene comparison degree of any one of the multiple scene comparison degrees is less than the preset scene comparison degree, generate an identified terminal test scene; P45-4: Based on the preset scene comparison degree, enhance the scene comparison degree of the identified terminal test scene to obtain an optimized terminal test scene, and add the optimized terminal test scene to the H terminal detection scenes.

[0040] Specifically, after constructing the terminal test scenario set, it is necessary to further optimize the comparison degree of these scenarios to ensure that the generated detection scenarios can accurately reflect the performance and reliability of the terminal. First, perform pairwise comparisons based on the constructed terminal test scenario set. By comparing the similarities and differences between each two test scenarios, multiple scenario comparison degrees are obtained. These comparison degrees are numerical values ​​that reflect the degree of similarity between each test scenario. The higher the comparison degree, the more similar the two scenarios are.

[0041] Next, determine whether the obtained multiple scene comparison degrees are less than the preset scene comparison degree. The preset scene comparison degree is a predefined threshold used to determine whether two test scenes are too similar to provide sufficient information diversity. If any scene comparison degree among the multiple scene comparison degrees is less than the preset scene comparison degree, an identification terminal test scene is generated. The identification terminal test scene represents a test scene that needs to be further optimized to improve its uniqueness and information richness.

[0042] Finally, based on the preset scene comparison degree, the scene comparison degree of the identified terminal test scene is enhanced. By adjusting the parameters and conditions of the test scene, its difference from other scenes is increased, thereby obtaining an optimized terminal test scene. These optimized test scenes have higher information diversity and detection value, and are added to the H terminal detection scenes to ensure that the final generated detection scene set can comprehensively evaluate the performance of the terminal.

[0043] P50: Based on the H terminal detection scenarios, perform application performance detection on the multiple connector terminals to obtain a second terminal quality detection result.

[0044] Furthermore, step P50 of the embodiment of the present application also includes: P51: Based on the terminal external feature accuracy constraint, combined with the first terminal quality detection result, the plurality of connector terminals are screened for qualified external features to obtain a plurality of terminals with qualified external features; P52: Complexity evaluation is performed according to the H terminal detection scenarios to obtain H scenario complexity coefficients; P53: Proportion calculation is performed according to the H scenario complexity coefficients to obtain H scenario complexity incentive coefficients; P54: Based on the H scenario complexity incentive coefficients, the plurality of qualified external feature terminals are allocated according to the H terminal detection scenarios to obtain H scenario terminal detection groups; P55: Based on the H terminal detection scenarios, application performance detection is performed on the H scenario terminal detection groups to obtain H scenario terminal application performance coefficients; P56: Based on the H scenario complexity incentive coefficients, weighted calculation is performed on the H scenario terminal application performance coefficients to generate a comprehensive scenario terminal application performance coefficient; P57: The comprehensive scenario terminal application performance coefficient and the H scenario terminal application performance coefficients are added to the second terminal quality detection result.

[0045] Optionally, after completing the construction of H terminal detection scenarios, it is necessary to perform application performance detection on multiple connector terminals to obtain a second result of the terminal quality detection.

[0046] First, based on the terminal external feature accuracy constraint and combined with the first result of the terminal quality inspection, the plurality of connector terminals are screened for qualified external features, and the terminals that do not meet the requirements in terms of external features are eliminated to obtain a plurality of qualified terminals in terms of external features. This process ensures that the terminals entering the performance inspection stage meet the quality standards in appearance. Then, according to the H terminal inspection scenarios, a complexity evaluation is performed, and the various factors contained in the scenarios (such as the diversity of environmental conditions, the differences in equipment requirements, etc.) are considered. Through quantitative analysis, a complexity coefficient is assigned to each scenario, and H scenario complexity coefficients are obtained. The scenario complexity coefficient reflects the complexity of each inspection scenario, taking into account multiple factors such as environment, load, and working conditions.

[0047] Furthermore, according to the H scene complexity coefficients, a proportion calculation is performed, that is, the proportion of each scene complexity coefficient to the total value of the scene complexity coefficient is calculated to obtain H scene complexity incentive coefficients. These incentive coefficients are used to weigh the detection contribution of each scene to ensure that complex scenes have a higher weight in the final result.

[0048] Furthermore, based on H scenario complexity excitation coefficients, multiple terminals with qualified external features are assigned to H terminal detection scenarios to form H scenario terminal detection groups. In this way, each detection group contains terminal samples detected in a specific scenario. And for each scenario terminal detection group, application performance testing is performed in its corresponding detection scenario. By simulating the actual working environment, the performance of the terminal in a specific scenario is evaluated, and the application performance coefficients of the H scenario terminals are obtained.

[0049] Finally, the H scenario complexity incentive coefficients are used to perform weighted calculations on the H scenario terminal application performance coefficients to generate a comprehensive scenario terminal application performance coefficient. This coefficient comprehensively considers the performance of the terminal in different scenarios and the complexity of the scenario, and is a comprehensive evaluation of the overall application performance of the terminal. This comprehensive coefficient and the H scenario terminal application performance coefficients are added to the second result of the terminal quality inspection to provide comprehensive data support for subsequent quality analysis and improvement.

[0050] Furthermore, step P55 of the embodiment of the present application also includes: P55-1: According to the H terminal detection scenarios and the H scenario terminal detection groups, extract the hth terminal detection scenario and the hth scenario terminal detection group, wherein h is a positive integer, 1≤h≤H; P55-2: According to the hth terminal detection scenario, perform application performance tests on each qualified terminal with external features in the hth scenario terminal detection group to obtain a plurality of terminal application performance detection data; P55-3: Based on the plurality of terminal application performance detection data and according to a terminal application performance evaluation model, obtain a plurality of terminal application performance evaluation coefficients; P55-4: Calculate the mean of the plurality of terminal application performance evaluation coefficients to obtain the hth scenario terminal application performance coefficient, and add the hth scenario terminal application performance coefficient to the H scenario terminal application performance coefficients.

[0051] In a possible embodiment of the present application, the specific process of obtaining the application performance coefficients of H scenario terminals through application performance detection may be, first, according to the H terminal detection scenarios and the corresponding H scenario terminal detection groups, extract the h-th terminal detection scenario and its corresponding h-th scenario terminal detection group one by one. Here, h is a positive integer, and its value range is from 1 to H, representing each specific detection scenario to be processed.

[0052] Next, for the hth terminal detection scenario, the application performance tests are performed on each qualified terminal with external features in the terminal detection group of the hth scenario. These tests are designed to simulate the working state of the terminal in an actual working environment to evaluate its application performance. By testing the performance of each terminal in a specific detection scenario, multiple terminal application performance detection data are obtained. These data include the electrical performance and mechanical performance of the terminal under different environments and load conditions. It reflects the performance of the terminal in different aspects, such as electrical performance, mechanical performance, environmental adaptability, etc.

[0053] Then, based on the obtained multiple terminal application performance test data, the terminal application performance evaluation model is used for data processing and analysis. This evaluation model is a pre-established algorithm or system that can quantitatively evaluate the terminal application performance. By inputting the test data, the model can output multiple terminal application performance evaluation coefficients, which are quantitative descriptions of the terminal performance, and help to more intuitively understand the performance of the terminal.

[0054] Finally, the average of multiple terminal application performance evaluation coefficients is calculated to obtain the terminal application performance coefficient of the hth scenario. This coefficient represents the average application performance level of all tested terminals in this detection scenario. By adding this coefficient to the terminal application performance coefficients of H scenarios, the evaluation of the terminal application performance in this scenario is completed, and data support is provided for the subsequent comprehensive performance evaluation.

[0055] P60: Based on the terminal quality inspection report template, the first terminal quality inspection result and the second terminal quality inspection result are sorted to generate a connector terminal quality inspection report.

[0056] Specifically, after completing the external feature accuracy test and application performance test of the terminal, it is necessary to systematically organize these test results and generate the final connector terminal quality test report. First, collect and organize the first result of the terminal quality test and the second result of the terminal quality test. The first result mainly includes the external feature accuracy test data, such as dimensional accuracy, surface accuracy, etc. The second result includes application performance test data, such as electrical performance and mechanical performance in different usage scenarios.

[0057] Next, based on the pre-designed terminal quality inspection report template, the first result and the second result are orderly integrated into the report. The report template predefines the structure and content format of the report to ensure that the report content is comprehensive and logically clear. The report includes a cover and overview, test methods and standards, external feature accuracy test results, application performance test results, comprehensive analysis and conclusions, and appendices. By using data integration and processing software, report generation tools, and charts and visualization tools, the report content is comprehensive, the structure is clear, and the data is accurate. The connector terminal quality inspection report not only provides an important basis for internal quality control and improvement of the enterprise, but also provides a reliable reference for external customers to understand product quality.

[0058] In summary, the embodiments of the present application have at least the following technical effects: The present application generates a first terminal quality inspection result by performing external feature accuracy inspection on a terminal set to be inspected, performs scenario mining based on the terminal model and in combination with the terminal usage scenario factor, constructs H terminal inspection scenarios, performs application performance inspection, obtains a second terminal quality inspection result, organizes the first terminal quality inspection result and the second terminal quality inspection result, and generates a connector terminal quality inspection report.

[0059] By combining auxiliary sensing technology and usage scenario simulation, comprehensive quality inspection of connector terminals from the outside to the inside and from static to dynamic is achieved, effectively improving the comprehensiveness and accuracy of connector terminal quality inspection.

[0060] Embodiment 2 Based on the same inventive concept as the connector terminal quality detection method combined with auxiliary induction in the aforementioned embodiment, Figure 3 As shown, the present application provides a connector terminal quality detection device combined with auxiliary induction, and the device and method embodiments in the present application are based on the same inventive concept. Among them, the device includes: The terminal set to be detected acquisition module 11 is used to obtain the terminal set to be detected, wherein the terminal set to be detected includes a plurality of connector terminals, wherein the plurality of connector terminals have the same terminal model and terminal production process.

[0061] The external feature accuracy detection module 12 is used to perform external feature accuracy detection on the terminal set to be detected according to the auxiliary sensing module, and generate a first terminal quality detection result.

[0062] The terminal usage scenario factor setting module 13 is used to set the terminal usage scenario factor, wherein the terminal usage scenario factor includes the terminal usage environment, the terminal application equipment model and the terminal application voltage and current.

[0063] The terminal usage scenario mining module 14 is used to perform terminal usage scenario mining based on the terminal model and the terminal usage scenario factor to construct H terminal detection scenarios, where H is a positive integer greater than 1.

[0064] The application performance detection module 15 is used to perform application performance detection on the multiple connector terminals based on the H terminal detection scenarios to obtain a second terminal quality detection result.

[0065] The terminal quality inspection report generating module 16 is used to organize the first terminal quality inspection result and the second terminal quality inspection result based on the terminal quality inspection report template to generate a connector terminal quality inspection report.

[0066] Furthermore, the external feature accuracy detection module 12 is further configured to perform the following steps: According to the auxiliary sensing module, the external feature accuracy of the multiple connector terminals is detected to obtain multiple terminal external feature accuracy coefficients; the central value is calculated based on the multiple terminal external feature accuracy coefficients to obtain the terminal external feature accuracy central value; the inverse of the standard deviation of the multiple terminal external feature accuracy coefficients is calculated to generate the terminal external feature accuracy stability coefficient; the multiple terminal external feature accuracy coefficients, the terminal external feature accuracy central value and the terminal external feature accuracy stability coefficient are added to the first result of the terminal quality detection.

[0067] Furthermore, the external feature accuracy detection module 12 is further configured to perform the following steps: According to the auxiliary sensing module, the external characteristic parameters of the multiple connector terminals are collected to obtain the first terminal external characteristic size information and the first terminal external characteristic surface parameters; according to the terminal production process, the predetermined terminal external characteristic size information is extracted; based on the predetermined terminal external characteristic size information, the first terminal external characteristic size information is evaluated for size accuracy to obtain the first terminal size accuracy evaluation coefficient; according to the first terminal external characteristic surface parameters, the surface accuracy is evaluated to obtain the first terminal surface accuracy evaluation coefficient; according to the external characteristic accuracy detection weight, the first terminal size accuracy evaluation coefficient and the first terminal surface accuracy evaluation coefficient are weightedly calculated to obtain the first terminal external characteristic accuracy coefficient, and the first terminal external characteristic accuracy coefficient is added to the multiple terminal external characteristic accuracy coefficients.

[0068] Furthermore, the terminal usage scenario mining module 14 is also used to perform the following steps: According to the terminal model, terminals of the same model are searched to obtain multiple sample connector terminals; based on the terminal usage scenario factor, usage scenario parameters are collected according to the multiple sample connector terminals to obtain multiple historical terminal usage scenario information; based on the multiple historical terminal usage scenario information, constraint interval analysis is performed to determine multiple terminal usage scenario constraints; based on the terminal usage scenario factor, usage scenario parameters are set according to the multiple terminal usage scenario constraints to obtain a terminal test scenario set; comparison degree optimization is performed according to the terminal test scenario set to generate the H terminal detection scenarios.

[0069] Furthermore, the terminal usage scenario mining module 14 is also used to perform the following steps: Perform pairwise comparisons according to the terminal test scenario set to obtain multiple scenario comparison degrees; Determine whether the comparison degrees of the multiple scenes are less than the preset scene comparison degree; if the comparison degree of any one of the multiple scenes is less than the preset scene comparison degree, generate an identification terminal test scene; based on the preset scene comparison degree, enhance the scene comparison degree of the identification terminal test scene to obtain an optimized terminal test scene, and add the optimized terminal test scene to the H terminal detection scenes.

[0070] Furthermore, the application performance detection module 15 is also used to perform the following steps: Based on the terminal external feature accuracy constraint, the plurality of connector terminals are screened for qualified external features in combination with the first terminal quality detection result to obtain a plurality of terminals with qualified external features; complexity evaluation is performed according to the H terminal detection scenarios to obtain H scenario complexity coefficients; proportion calculation is performed according to the H scenario complexity coefficients to obtain H scenario complexity excitation coefficients; based on the H scenario complexity excitation coefficients, the plurality of qualified external feature terminals are allocated according to the H terminal detection scenarios to obtain H scenario terminal detection groups; based on the H terminal detection scenarios, application performance detection is performed on the H scenario terminal detection groups to obtain H scenario terminal application performance coefficients; weighted calculation is performed on the H scenario terminal application performance coefficients based on the H scenario complexity excitation coefficients to generate a comprehensive scenario terminal application performance coefficient; the comprehensive scenario terminal application performance coefficient and the H scenario terminal application performance coefficients are added to the second terminal quality detection result.

[0071] Furthermore, the application performance detection module 15 is also used to perform the following steps: According to the H terminal detection scenarios and the H scenario terminal detection groups, extract the hth terminal detection scenario and the hth scenario terminal detection group, wherein h is a positive integer, 1≤h≤H; according to the hth terminal detection scenario, perform application performance tests on each qualified terminal with external features in the hth scenario terminal detection group to obtain a plurality of terminal application performance detection data; based on the plurality of terminal application performance detection data, obtain a plurality of terminal application performance evaluation coefficients according to a terminal application performance evaluation model; calculate the mean of the plurality of terminal application performance evaluation coefficients to obtain the hth scenario terminal application performance coefficient, and add the hth scenario terminal application performance coefficient to the H scenario terminal application performance coefficients.

[0072] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do 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.

[0073] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0074] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A connector terminal quality detection method combined with auxiliary induction, characterized in that: The method comprises: Obtaining a terminal set to be detected, wherein the terminal set to be detected includes a plurality of connector terminals, wherein the plurality of connector terminals have the same terminal model and terminal production process; According to the auxiliary sensing module, the external feature accuracy detection is performed on the terminal set to be detected to generate a first terminal quality detection result; Setting a terminal usage scenario factor, wherein the terminal usage scenario factor includes the terminal usage environment, the terminal application equipment model, and the terminal application voltage and current; Based on the terminal model, terminal usage scenario mining is performed in combination with the terminal usage scenario factor to construct H terminal detection scenarios, where H is a positive integer greater than 1; Based on the H terminal detection scenarios, performing application performance detection on the plurality of connector terminals to obtain a second terminal quality detection result; Based on the terminal quality inspection report template, the first terminal quality inspection result and the second terminal quality inspection result are sorted to generate a connector terminal quality inspection report.

2. The method according to claim 1, characterized in that According to the auxiliary sensing module, the external feature accuracy detection is performed on the terminal set to be detected to generate a first terminal quality detection result, including: According to the auxiliary sensing module, external feature accuracy detection is performed on the plurality of connector terminals to obtain a plurality of terminal external feature accuracy coefficients; Performing concentrated value calculation according to the plurality of terminal external feature accuracy coefficients to obtain a terminal external feature accuracy concentrated value; Calculating the inverse of the standard deviation of the plurality of terminal external feature accuracy coefficients to generate a terminal external feature accuracy stability coefficient; The plurality of terminal external feature accuracy coefficients, the terminal external feature accuracy concentration value and the terminal external feature accuracy stability coefficient are added to the first terminal quality detection result.

3. The method according to claim 2, characterized in that According to the auxiliary sensing module, the plurality of connector terminals are subjected to external feature accuracy detection to obtain a plurality of terminal external feature accuracy coefficients, including: According to the auxiliary sensing module, collecting the external characteristic parameters of the plurality of connector terminals to obtain the first terminal external characteristic size information and the first terminal external characteristic surface parameters; Extracting predetermined terminal external characteristic dimension information according to the terminal production process; Performing a dimensional accuracy evaluation on the first terminal external characteristic dimension information based on the predetermined terminal external characteristic dimension information to obtain a first terminal dimensional accuracy evaluation coefficient; Performing surface accuracy evaluation according to the first terminal external characteristic surface parameters to obtain a first terminal surface accuracy evaluation coefficient; The first terminal size accuracy evaluation coefficient and the first terminal surface accuracy evaluation coefficient are weightedly calculated according to the external feature accuracy detection weight to obtain the first terminal external feature accuracy coefficient, and the first terminal external feature accuracy coefficient is added to the multiple terminal external feature accuracy coefficients.

4. The method according to claim 1, characterized in that Based on the terminal model and in combination with the terminal usage scenario factor, terminal usage scenario mining is performed to construct H terminal detection scenarios, including: Searching for terminals of the same model according to the terminal model to obtain a plurality of sample connector terminals; Based on the terminal usage scenario factor, collecting usage scenario parameters according to the multiple sample connector terminals to obtain multiple historical terminal usage scenario information; Perform constraint interval analysis based on the plurality of historical terminal usage scenario information to determine a plurality of terminal usage scenario constraints; Based on the terminal usage scenario factor, setting usage scenario parameters according to the plurality of terminal usage scenario constraints to obtain a terminal test scenario set; Comparison degree optimization is performed according to the terminal test scenario set to generate the H terminal detection scenarios.

5. The method according to claim 4, characterized in that Performing comparison optimization according to the terminal test scenario set to generate the H terminal detection scenarios includes: Perform pairwise comparisons according to the terminal test scenario set to obtain multiple scenario comparison degrees; Determining whether the comparison degrees of the multiple scenes are less than a preset scene comparison degree; If any one of the plurality of scene comparison degrees is less than the preset scene comparison degree, generating a marking terminal test scene; Based on the preset scene comparison degree, the scene comparison degree of the identified terminal test scene is enhanced to obtain an optimized terminal test scene, and the optimized terminal test scene is added to the H terminal detection scenes.

6. The method according to claim 1, characterized in that Based on the H terminal detection scenarios, application performance detection is performed on the plurality of connector terminals to obtain a second terminal quality detection result, including: Based on the terminal external feature accuracy constraint, and in combination with the first terminal quality detection result, the plurality of connector terminals are screened for qualified external features to obtain a plurality of terminals with qualified external features; Performing complexity evaluation according to the H terminal detection scenarios to obtain H scenario complexity coefficients; Performing a proportion calculation according to the H scene complexity coefficients to obtain H scene complexity incentive coefficients; Based on the H scene complexity excitation coefficients, the plurality of external feature qualified terminals are allocated according to the H terminal detection scenes to obtain H scene terminal detection groups; Based on the H terminal detection scenarios, performing application performance detection on the H scenario terminal detection groups to obtain H scenario terminal application performance coefficients; Performing weighted calculation on the H scenario terminal application performance coefficients based on the H scenario complexity excitation coefficients to generate a comprehensive scenario terminal application performance coefficient; The comprehensive scenario terminal application performance coefficient and the H scenario terminal application performance coefficients are added to the second terminal quality detection result.

7. The method according to claim 6, characterized in that Based on the H terminal detection scenarios, application performance detection is performed on the H scenario terminal detection groups to obtain application performance coefficients of the H scenario terminals, including: Extracting the h-th terminal detection scene and the h-th scene terminal detection group according to the H terminal detection scenes and the H scene terminal detection groups, wherein h is a positive integer, 1≤h≤H; According to the hth terminal detection scenario, performing application performance tests on each terminal with qualified external features in the terminal detection group of the hth scenario to obtain a plurality of terminal application performance detection data; Based on the plurality of terminal application performance detection data, and according to a terminal application performance evaluation model, a plurality of terminal application performance evaluation coefficients are obtained; An average of the plurality of terminal application performance evaluation coefficients is calculated to obtain an h-th scenario terminal application performance coefficient, and the h-th scenario terminal application performance coefficient is added to the H scenario terminal application performance coefficients.

8. A connector terminal quality detection device combined with auxiliary induction, characterized in that: The device comprises: A terminal set acquisition module to be detected, the terminal set acquisition module to be detected is used to obtain a terminal set to be detected, wherein the terminal set to be detected includes a plurality of connector terminals, wherein the plurality of connector terminals have the same terminal model and terminal production process; An external feature accuracy detection module, the external feature accuracy detection module is used to perform external feature accuracy detection on the terminal set to be detected according to the auxiliary sensing module, and generate a first terminal quality detection result; A terminal usage scenario factor setting module, wherein the terminal usage scenario factor setting module is used to set a terminal usage scenario factor, wherein the terminal usage scenario factor includes a terminal usage environment, a terminal application device model, and a terminal application voltage and current; A terminal usage scenario mining module, the terminal usage scenario mining module is used to perform terminal usage scenario mining based on the terminal model and the terminal usage scenario factor, and construct H terminal detection scenarios, where H is a positive integer greater than 1; An application performance detection module, the application performance detection module being used to perform application performance detection on the plurality of connector terminals based on the H terminal detection scenarios to obtain a second terminal quality detection result; A terminal quality inspection report generation module is used to organize the first terminal quality inspection result and the second terminal quality inspection result based on the terminal quality inspection report template to generate a connector terminal quality inspection report.

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