CN119413079A - Connector terminal quality detection method and device combined with auxiliary induction - Google Patents
Connector terminal quality detection method and device combined with auxiliary induction Download PDFInfo
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Abstract
The invention discloses a connector terminal quality detection method and device combining auxiliary induction, and relates to the technical field of intelligent detection; based on the terminal model, scene mining is carried out by combining the terminal using field Jing Yinzi, H terminal detection scenes are constructed, application performance detection is carried out, a terminal quality detection second result is obtained, and a connector terminal quality detection report is generated by combining the terminal quality detection first result. The invention solves the technical problems that the traditional detection method only pays attention to basic physical parameters of the terminal in the prior art, omits specific use scenes and has lower comprehensiveness and accuracy of detection results, and realizes comprehensive quality detection from outside to inside and from static state to dynamic state of the connector terminal by combining an auxiliary induction technology and using scene simulation, thereby effectively improving the technical effects of comprehensiveness and accuracy of the quality detection of the connector terminal.
Description
Technical Field
The invention relates to the technical field of intelligent detection, in particular to a connector terminal quality detection method and device combining auxiliary induction.
Background
The quality of the connector terminals, which are the key components of the electrical connection, directly affects the stability and safety of the overall electrical system. The quality detection can timely find problems of breakage, looseness, oxidization and the like of the terminal, so that faults of equipment short circuit, insulation damage, unstable voltage and the like caused by the problems are prevented, and the safety of the equipment is improved. However, the traditional detection method only focuses on basic physical parameters of the terminal, but omits the performance of the terminal in a specific use scene, and the comprehensiveness and the accuracy of the detection result are low. According to the scheme, the terminal use field Jing Yinzi (such as a use environment, an application equipment model, application voltage and current and the like) is arranged, and a plurality of detection scenes are constructed, so that the detection result is closer to the actual use condition.
Disclosure of Invention
The application provides a connector terminal quality detection method and device combining auxiliary induction, which are used for solving the technical problems that the traditional detection method only pays attention to basic physical parameters of terminals in the prior art, ignores the performance of the terminals in specific use scenes and has lower comprehensiveness and accuracy of detection results.
The first aspect of the application provides a connector terminal quality detection method combining auxiliary induction, which comprises the steps of obtaining a terminal set to be detected, wherein the terminal set to be detected comprises a plurality of connector terminals, the connector terminals have the same terminal model and the same terminal production process, carrying out external characteristic precision detection on the terminal set to be detected according to an auxiliary induction module to generate a first terminal quality detection result, setting a terminal use field Jing Yinzi, wherein the terminal use field factor comprises a terminal use environment, a terminal application equipment model and a terminal application voltage current, carrying out terminal use field excavation according to the terminal model and the terminal use field Jing Yinzi to construct H terminal detection scenes, wherein H is a positive integer greater than 1, carrying out application performance detection on the connector terminals according to the H terminal detection scenes to obtain a second terminal quality detection result, and finishing the first terminal quality detection result and the second terminal quality detection result based on a terminal quality detection report template to generate a connector terminal quality detection report.
The second aspect of the application provides a connector terminal quality detection device combining auxiliary induction, which comprises a terminal set acquisition module to be detected, a terminal use scene factor setting module, a terminal use scene mining module and a terminal use scene mining module, wherein the terminal set to be detected is used for acquiring a terminal set to be detected, the terminal set to be detected comprises a plurality of connector terminals, the connector terminals have the same terminal model and terminal production process, the external feature precision detection module is used for carrying out external feature precision detection on the terminal set to be detected according to the auxiliary induction module to generate a terminal quality detection first result, the terminal use scene factor setting module is used for setting a terminal use scene Jing Yinzi, the terminal use scene factor comprises a terminal use environment, a terminal application equipment model and a terminal application voltage current, the terminal use scene mining module is used for carrying out terminal use scene mining in combination with the terminal use scene Jing Yinzi based on the terminal model, H number of the terminal use scene is larger than an integer, the terminal use scene is used for carrying out positive detection on the terminal quality detection, the terminal quality detection first result is generated based on the auxiliary induction module, the terminal use scene factor setting module is used for setting a terminal use scene setting, the terminal use scene is used for carrying out terminal use scene mining, the terminal quality detection on the terminal quality detection is used for reporting terminal quality detection first result, the terminal quality detection module is used for generating a terminal quality detection result based on the terminal quality detection report, the terminal quality detection module is used for reporting the terminal quality detection result, and the terminal quality detection module is used for generating a terminal quality detection module.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
The application provides a connector terminal quality detection method and device combining auxiliary induction, which relate to the technical field of intelligent detection, and are characterized in that external feature precision detection is carried out on a terminal subset to be detected, a first terminal quality detection result is generated, scene excavation is carried out on a terminal based on a terminal model and a terminal use field Jing Yinzi, H terminal detection scenes are constructed to carry out application performance detection, a second terminal quality detection result is obtained, the first terminal quality detection result and the second terminal quality detection result are arranged, and a connector terminal quality detection report is generated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly explain the drawings needed in the description of the embodiments, which are merely examples of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for detecting quality of a connector terminal by combining auxiliary sensing according to an embodiment of the present application;
Fig. 2 is a schematic flow chart of constructing H terminal detection scenarios in the connector terminal quality detection method combined with auxiliary sensing according to the embodiment of the present application;
Fig. 3 is a schematic structural diagram of a connector terminal quality detecting device combining auxiliary sensing according to an embodiment of the present application.
Reference numerals illustrate a terminal set acquisition module 11 to be detected, an external feature precision detection module 12, a terminal use scene factor setting module 13, a terminal use scene mining module 14, an application performance detection module 15 and a terminal quality inspection report generation module 16.
Detailed Description
The application provides a connector terminal quality detection method and device combining auxiliary induction, which are used for solving the technical problems that the traditional detection method only pays attention to basic physical parameters of terminals in the prior art, ignores the performance of the terminals in specific use scenes and has lower comprehensiveness and accuracy of detection results.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, the terms "first," "second," and the like in the description of the present application and the above drawings are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
As shown in fig. 1, the present application provides a connector terminal quality detection method incorporating auxiliary sensing, the method comprising:
And P10, obtaining a terminal set to be detected, wherein the terminal set to be detected comprises a plurality of connector terminals, and the connector terminals have the same terminal model and terminal production process.
Specifically, in the initial stage of connector terminal quality detection, a terminal set to be detected needs to be acquired first. The core of this step is to ensure consistency of the selected terminal samples so that the results of subsequent tests are comparable and accurate. First, the subset of terminals to be inspected refers to a collection of terminals selected from a production line or inventory that are ready for quality inspection. In order to ensure the validity of the detection result, these terminals must be provided with the same terminal model and terminal production process. Wherein, the terminal model refers to the specific specification and the type number of each terminal. Terminals of the same model are designed to have the same size, shape and electrical characteristics, so that the result deviation caused by different models in the detection process is avoided. The terminal production process refers to the manufacturing flow and technical specification of the terminal. The same production process means that the terminals undergo the same processing steps during production, using the same materials and equipment, so as to be consistent in physical properties and quality.
For example, a specific terminal extraction step may be to extract terminal samples randomly or in a prescribed proportion from a production lot, ensuring that the samples are representative. And confirm the consistency of the terminal model and production process extracted, avoid intermixing the terminal of different models or different processes. And further, the selected terminal sample is recorded in detail, and the terminal sample comprises information such as terminal model, production batch, production date and the like. This information will serve as an important basis for the analysis of the subsequent test data. And finally numbering and marking each terminal to be detected, so as to ensure that the detection result of each terminal can be accurately tracked in the detection process.
And P20, detecting the external feature precision of the terminal set to be detected according to the auxiliary sensing module, and generating a first terminal quality detection result.
Further, step P20 of the embodiment of the present application further includes:
the method comprises the steps of P21, detecting external feature precision of a plurality of connector terminals according to the auxiliary sensing module to obtain a plurality of external feature precision coefficients of the terminals, P22, calculating a centralized value according to the external feature precision coefficients of the terminals to obtain a terminal external feature precision set value, P23, calculating the reciprocal of standard deviation of the external feature precision coefficients of the terminals to generate a terminal external feature precision stability coefficient, and P24, adding the external feature precision coefficients of the terminals, the terminal external feature precision set value and the terminal external feature precision stability coefficient to a terminal quality detection first result.
It should be appreciated that external feature accuracy detection is a critical element in the quality detection of connector terminals. This step aims at ensuring that the dimensions and shape of the terminal meet the design specifications by using an auxiliary sensing module to accurately measure the external characteristics of the terminal.
First, each terminal in the terminal set to be detected is subjected to external feature precision detection by using the auxiliary sensing module. The auxiliary sensing module typically includes a high resolution image capture device and a precision measurement sensor capable of capturing minute details of the terminal. These detection devices measure the size, shape and surface characteristics of each terminal, generating a plurality of out-of-terminal characteristic precision coefficients. These precision coefficients are numerical values reflecting the precision of the external features of the terminal.
Next, a centralized value calculation is performed based on the obtained plurality of out-of-terminal feature precision coefficients. The concentration value calculation method may be an average value, a median value, or other suitable statistical method to obtain an external feature precision concentration value for a set of terminals. This collective value can reflect the overall level of extrinsic feature accuracy for the entire subset of terminals to be detected.
In order to further evaluate the quality stability of the terminal, it is necessary to calculate standard deviations of a plurality of out-of-terminal characteristic precision coefficients. The standard deviation is an important indicator for measuring the dispersion degree of a group of data. In this step, the off-terminal feature accuracy stabilization coefficients are generated by calculating the inverse of the standard deviation of these coefficients. This stability factor can help evaluate the consistency and stability of the external features of the terminal, with a smaller standard deviation, a larger stability factor, indicating a more stable precision of the external features of the terminal.
Finally, the plurality of out-of-terminal feature precision coefficients, out-of-terminal feature precision set values, and out-of-terminal feature precision stability coefficients obtained as described above are added to the terminal quality detection first result. The result comprises detailed external feature precision detection data, and provides important basis for subsequent quality evaluation and improvement.
Further, step P21 of the embodiment of the present application further includes:
The method comprises the steps of collecting external characteristic parameters of a plurality of connector terminals according to an auxiliary sensing module to obtain first terminal external characteristic size information and first terminal external characteristic surface parameters, extracting preset terminal external characteristic size information according to a terminal production process, carrying out size precision evaluation on the first terminal external characteristic size information based on the preset terminal external characteristic size information to obtain a first terminal size precision evaluation coefficient, carrying out surface precision evaluation according to the first terminal external characteristic surface parameters to obtain a first terminal surface precision evaluation coefficient, and carrying out weighted calculation on the first terminal size precision evaluation coefficient and the first terminal surface precision evaluation coefficient according to external characteristic precision detection weights to obtain a first terminal external characteristic precision coefficient, and adding the first terminal external characteristic precision coefficient to the plurality of terminal external characteristic precision coefficients, wherein P21-1 is used for collecting the external characteristic size information and the first terminal external characteristic surface parameters of the plurality of connector terminals according to the auxiliary sensing module.
Optionally, the specific process of obtaining the external feature precision coefficients of the plurality of terminals through external feature precision detection may be that, first, external feature parameters of the plurality of connector terminals are collected through an auxiliary sensing module. These parameters include first terminal external feature size information and first terminal external feature surface parameters. Dimensional information relates to the geometric dimensions of the terminal, such as length, width, height, etc., while surface parameters relate to the characteristics of the terminal, such as surface roughness, finish, etc.
Further, predetermined terminal external feature size information is extracted according to a production process of the terminal. These pieces of predetermined size information are ideal size parameters defined in advance according to design specifications and production standards, as a reference for comparison of actual detected sizes. And carrying out size precision evaluation on the acquired first terminal external characteristic size information based on the predetermined terminal external characteristic size information. The first terminal dimensional accuracy evaluation coefficient is obtained by calculating the deviation between the actual size and the predetermined size. This evaluation coefficient quantifies the accuracy of the terminal dimensions, with smaller deviations and higher accuracy evaluation coefficients.
Further, surface accuracy evaluation is performed according to the collected first terminal external characteristic surface parameters. The first terminal surface accuracy evaluation coefficient can be obtained by analyzing the uniformity and flatness of the surface parameters. The evaluation coefficient reflects the precision of the terminal surface quality, and the higher the parameter meets the design requirement, the higher the precision evaluation coefficient.
And finally, carrying out weighted calculation on the first terminal size precision evaluation coefficient and the first terminal surface precision evaluation coefficient according to the weight standard of the external feature precision detection to obtain the first terminal external feature precision coefficient. The weighting calculation considers different influences of the size and the surface characteristics on the terminal quality, and the accuracy of comprehensive evaluation is ensured. And finally, adding the calculated first external terminal characteristic precision coefficient to a plurality of external terminal characteristic precision coefficient sets.
And P30, setting a terminal use field Jing Yinzi, wherein the terminal use field factors comprise a terminal use environment, a terminal application equipment model and a terminal application voltage current.
Specifically, in the connector terminal quality detection process, in order to ensure the reliability and applicability of the terminal in practical application, a terminal use scene factor needs to be set. These factors cover the terminal usage environment, the application device model, and the application voltage current.
The terminal use environment comprises physical environment conditions of the terminal in practical application. Such conditions may include temperature, humidity, vibration, corrosive media, and the like. In order to accurately evaluate the environmental suitability of the terminal, it is necessary to detail environmental factors that may affect the performance of the terminal. For example, high temperature environments may cause thermal expansion of the terminal material, while high humidity environments may cause corrosion of the terminal. The use conditions of the terminal in different environments can be reproduced through environment simulation experiment equipment (such as a high-low temperature test box, a salt spray test box and the like), and the performance change of the terminal in the environments is recorded.
The terminal application device model refers to a specific device model to which the terminal is to be mounted and used. The requirements of the terminals may vary from device to device, such as the manner of mechanical connection, the type of electrical interface, etc. Knowing the application device model of the terminal can help identify and prevent potential suitability problems. Technical specifications and instruction manuals for various devices can be collected and analyzed to ensure compatibility and performance of the terminals in these devices.
The terminal application voltage and current refers to the electrical parameters that the terminal needs to withstand during operation. These parameters include operating voltage range and operating current strength. Different application scenarios may place different demands on the electrical performance of the terminal, e.g. high voltage high current applications require higher insulation and conductivity properties of the terminal. The terminal can be tested for electrical performance by electrical testing equipment (such as a withstand voltage tester, a current tester and the like), so that the terminal can work stably within the designed voltage and current range.
In the process of setting the terminal use scene factor, the possible use environment of the terminal including temperature, humidity, vibration, corrosion and other factors needs to be analyzed in detail. Next, the specific device model to which the terminal is to be mounted and used is determined, ensuring that the terminal is compatible with the device and works properly. And finally, determining the electrical parameters of the terminal in practical application, including the working voltage and the current range, and ensuring that the electrical performance of the terminal meets the requirements through corresponding electrical tests. Through setting up terminal use field Jing Yinzi, can understand and evaluate the performance of terminal in practical application comprehensively, provide important foundation for subsequent performance detection and quality control.
And P40, carrying out terminal use scene mining by combining the terminal use field Jing Yinzi based on the terminal model, and constructing H terminal detection scenes, wherein H is a positive integer greater than 1.
Further, as shown in fig. 2, step P40 of the embodiment of the present application further includes:
P41, carrying out the terminal retrieval of the same type according to the terminal model to obtain a plurality of sample connector terminals, P42, based on the terminal usage field Jing Yinzi, carrying out the usage scene parameter acquisition according to the plurality of sample connector terminals to obtain a plurality of historical terminal usage scene information;
The method comprises the steps of P43, analyzing constraint intervals according to the historical terminal use scene information to determine terminal use scene constraints, P44, setting use scene parameters according to the terminal use scene constraints based on the terminal use scene Jing Yinzi to obtain a terminal test scene set, and P45, optimizing comparison degree according to the terminal test scene set to generate the H terminal detection scenes.
It should be appreciated that in order to fully evaluate the performance and reliability of the connector terminals, it is necessary to conduct deep usage scenario mining based on the terminal model and usage scenario factors and construct a plurality of detection scenarios. First, the same-type terminals are searched according to the terminal type, and a plurality of sample connector terminals are obtained. These sample terminals are of the same model and production process, ensuring consistency and comparability in subsequent analysis.
Further, acquisition of usage scenario parameters is performed for the acquired plurality of sample connector terminals based on the terminal usage field Jing Yinzi. By collecting parameter data (such as working environment, equipment model, voltage and current, etc.) of the terminals in actual use, a plurality of historical terminal use scene information is obtained. And performing constraint interval analysis according to the collected historical terminal usage scenario information to determine a plurality of terminal usage scenario constraints. These constraints define the operating range and performance limitations of the terminal under different conditions of use, helping to identify potential problems with the terminal in various scenarios.
Further, a usage scenario parameter setting is performed based on the terminal usage scenario factor and the determined plurality of terminal usage scenario constraints. By combining actual application requirements and historical data, a comprehensive terminal test scene set is constructed, and all possible use conditions and environments are ensured to be covered. Finally, according to the constructed terminal test scene set, comparison optimization is carried out, and H terminal detection scenes (H is a positive integer greater than 1) are generated. The step ensures that the generated detection scene can effectively evaluate the performance and reliability of the terminal by optimizing the comparison degree, and provides comprehensive and scientific basis for subsequent quality detection.
Further, step P45 of the embodiment of the present application further includes:
The method comprises the steps of carrying out pairwise comparison according to a terminal test scene set to obtain a plurality of scene comparison degrees, judging whether the plurality of scene comparison degrees are smaller than a preset scene comparison degree or not by P45-1, generating an identification terminal test scene if any one of the plurality of scene comparison degrees is smaller than the preset scene comparison degree by P45-3, carrying out scene comparison degree enhancement on the identification terminal test scene based on the preset scene comparison degree to obtain an optimized terminal test scene, and adding the optimized terminal test scene to the H terminal test scenes.
Specifically, after the terminal test scene set is constructed, the comparison degree of the scenes needs to be further optimized so as to ensure that the generated detection scene can accurately reflect the performance and reliability of the terminal. First, pairwise comparison is performed according to the constructed terminal test scene set. And comparing the similarity and the difference between every two test scenes to obtain a plurality of scene comparison degrees. These alignments are numerical values reflecting the degree of similarity between the respective test scenes, with higher alignments indicating that the two scenes are more similar.
Next, it is determined whether the obtained plurality of scene alignments is less than a preset scene alignment. The preset scene alignment is a predefined threshold for determining whether the two test scenes are too similar to provide sufficient information diversity. If any one of the scene comparison degrees is smaller than the preset scene comparison degree, generating an identification terminal test scene. The identification terminal test scenario represents a test scenario that needs to be further optimized to improve its uniqueness and information richness.
And finally, based on the preset scene comparison degree, performing scene comparison degree enhancement on the test scene of the identification terminal. And the difference between the test scene and other scenes is increased by adjusting the parameters and conditions of the test scene, so that the optimized terminal test scene is obtained. The optimized test scenes have higher information diversity and detection value, and the optimized test scenes are added into the H terminal detection scenes, so that the finally generated detection scene set can be used for comprehensively evaluating the performance of the terminal.
And P50, performing application performance detection on the plurality of connector terminals based on the H terminal detection scenes to obtain a terminal quality detection second result.
Further, step P50 of the embodiment of the present application further includes:
The method comprises the steps of P51, performing external feature qualification screening on a plurality of connector terminals based on terminal external feature precision constraint and combining the first terminal quality detection result to obtain a plurality of external feature qualified terminals, P52, performing complexity evaluation according to H terminal detection scenes to obtain H scene complexity coefficients, P53, performing duty ratio calculation according to the H scene complexity coefficients to obtain H scene complexity excitation coefficients, P54, distributing the plurality of external feature qualified terminals according to the H terminal detection scenes based on the H scene complexity excitation coefficients to obtain H scene terminal detection groups, P55, performing application performance detection on the H scene terminal detection groups based on the H terminal detection scenes to obtain H scene terminal application performance coefficients, P56, performing weighted calculation on the H scene terminal application performance coefficients based on the H scene complexity excitation coefficients to generate a comprehensive scene terminal application performance coefficient, and P57, adding the comprehensive scene terminal application performance coefficient and the H scene terminal application performance coefficient to the second terminal quality detection result.
Optionally, after the construction of the H terminal detection scenario is completed, performance detection needs to be applied to the plurality of connector terminals next to obtain a second result of terminal quality detection.
Firstly, based on the precision constraint of the external features of the terminals, the first result of the quality detection of the terminals is combined, the external features of the terminals of the connectors are subjected to qualified screening, and terminals which do not meet the requirements on the external features are removed, so that a plurality of external feature qualified terminals are obtained. This process ensures that the terminals entering the performance testing stage are in appearance with quality standards. And further, according to the H terminal detection scenes, complexity evaluation is performed, various factors (such as diversity of environmental conditions, variability of equipment requirements and the like) contained in the scenes are considered, and a complexity coefficient is allocated to each scene through quantitative analysis, so that H scene complexity coefficients are obtained. The scene complexity coefficient reflects the complexity of each detection scene, and various factors such as environment, load, working condition and the like are considered.
Further, according to the H scene complexity coefficients, duty ratio calculation is performed, that is, the proportion of each scene complexity coefficient to the total value of the scene complexity coefficients is calculated, so that the H scene complexity excitation coefficients are obtained. These excitation coefficients are used to trade off the detection contributions of the individual scenes, ensuring that complex scenes are weighted higher in the final result.
Further, based on the H scene complexity excitation coefficients, a plurality of terminals with qualified external features are distributed into the H terminal detection scenes to form H scene terminal detection groups. Thus, each test set contains terminal samples that are tested under a particular scenario. And for each scene terminal detection group, performing application performance detection under the corresponding detection scene. And (3) evaluating the performance of the terminal in a specific scene by simulating an actual working environment to obtain H scene terminal application performance coefficients.
And finally, weighting and calculating the application performance coefficients of the H scene terminals by utilizing the H scene complexity excitation coefficients to generate the application performance coefficients of the comprehensive scene terminals. The coefficient comprehensively considers the performance of the terminal under different scenes and the complexity of the scenes, and is a comprehensive evaluation of the overall application performance of the terminal. The comprehensive coefficient and the H scene terminal application performance coefficients are added to the second result of terminal quality detection, so that comprehensive data support is provided for subsequent quality analysis and improvement.
Further, step P55 of the embodiment of the present application further includes:
Extracting an H terminal detection scene and an H scene terminal detection group according to the H terminal detection scenes and the H scene terminal detection groups, wherein H is a positive integer, H is more than or equal to 1 and less than or equal to H, P55-2 performing application performance test on all external characteristic qualified terminals in the H scene terminal detection group according to the H terminal detection scenes to obtain a plurality of terminal application performance detection data, P55-3 obtaining a plurality of terminal application performance evaluation coefficients according to a terminal application performance evaluation model based on the plurality of terminal application performance detection data, and P55-4 calculating the average value of the plurality of terminal application performance evaluation coefficients to obtain an H scene terminal application performance coefficient and adding the H scene terminal application performance coefficient to the H scene terminal application performance coefficient.
In one possible embodiment of the present application, the specific process of obtaining the application performance coefficient of the H scene terminal through application performance detection may be that, first, according to the H terminal detection scenes and the H scene terminal detection groups corresponding thereto, the H terminal detection scenes and the H scene terminal detection groups corresponding thereto are extracted one by one. Here, H is a positive integer ranging from 1 to H, representing each specific detection scenario to be processed.
Next, for the h-th terminal detection scenario, an application performance test is performed on each external feature qualified terminal in the h-th scenario terminal detection group. These tests are intended to simulate the operation of the terminal in an actual operating environment to evaluate its application performance. By testing the performance of each terminal in a particular test scenario, a plurality of terminal application performance test data is obtained. These data include electrical, mechanical, etc. properties of the terminal under different environmental and load conditions. Reflecting the performance of the terminal in different aspects, such as electrical performance, mechanical performance, environmental adaptability, etc.
Then, based on the obtained plurality of terminal application performance detection data, data processing and analysis are performed using a terminal application performance evaluation model. The evaluation model is a pre-established algorithm or system capable of quantitatively evaluating the performance of the terminal application. By inputting the detection data, the model can output a plurality of terminal application performance evaluation coefficients, which are quantitative descriptions of the performance of the terminal, which are helpful for more intuitively understanding the performance of the terminal.
And finally, calculating the average value of the application performance evaluation coefficients of the terminals to obtain the application performance coefficient of the terminal in the h scene. This coefficient represents the average application performance level of all the terminals tested in the test scenario. By adding the coefficient to the H scene terminal application performance coefficients, the evaluation of the terminal application performance under the scene is completed, and data support is provided for the subsequent comprehensive performance evaluation.
And P60, sorting the first terminal quality detection result and the second terminal quality detection result based on a terminal quality detection report template, and generating a connector terminal quality detection report.
Specifically, after the external feature precision detection and the application performance detection of the terminal are completed, the detection results need to be systematically arranged, and a final connector terminal quality detection report is generated. First, a terminal quality detection first result and a terminal quality detection second result are collected and collated. The first result mainly includes external feature accuracy detection data such as dimensional accuracy, surface accuracy, and the like. The second result then comprises application performance test data such as electrical performance, mechanical performance, etc. in different usage scenarios.
Next, the first result and the second result are orderly integrated into the report based on a pre-designed terminal quality detection report template. The report template predefines the structure and the content format of the report, so that the report content is comprehensive and clear. The report comprises cover and summary, detection methods and standards, external feature accuracy detection results, application performance detection results, comprehensive analysis and conclusion, annex and the like. By using data integration and processing software, report generation tools, charts and visualization tools, comprehensive report content, clear structure and accurate data are ensured. The connector terminal quality detection report not only provides important basis for quality control and improvement in enterprises, but also provides reliable reference for external clients to know the product quality.
In summary, the embodiment of the application has at least the following technical effects:
According to the application, external feature precision detection is carried out on the terminal subset to be detected, a first terminal quality detection result is generated, scene mining is carried out on the basis of the terminal model and the combined terminal use field Jing Yinzi, H terminal detection scenes are constructed, application performance detection is carried out, a second terminal quality detection result is obtained, the first terminal quality detection result and the second terminal quality detection result are arranged, and a connector terminal quality detection report is generated.
The comprehensive quality detection of the connector terminal from outside to inside and from static state to dynamic state is realized by combining the auxiliary induction technology and using scene simulation, and the technical effects of improving the comprehensive performance and the accuracy of the quality detection of the connector terminal are effectively achieved.
Example two
Based on the same inventive concept as the connector terminal quality detection method in the foregoing embodiment, as shown in fig. 3, the present application provides a connector terminal quality detection device in which auxiliary sensing is combined, and the device and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein the device comprises:
The terminal set to be detected acquisition module 11 is configured to acquire a terminal set to be detected, where the terminal set to be detected includes a plurality of connector terminals, and the plurality of connector terminals have the same terminal model and terminal production process.
And the external feature precision detection module 12 is used for detecting the external feature precision of the terminal set to be detected according to the auxiliary sensing module, and generating a first terminal quality detection result.
The terminal use scene factor setting module 13, the terminal use scene factor setting module 13 is used for setting a terminal use field Jing Yinzi, wherein the terminal use scene factor comprises a terminal use environment, a terminal application equipment model and a terminal application voltage current.
The terminal use scene mining module 14, the terminal use scene mining module 14 is configured to perform terminal use scene mining in combination with the terminal use scene Jing Yinzi based on the terminal model, and construct H terminal detection scenes, where H is a positive integer greater than 1.
And the application performance detection module 15 is configured to perform application performance detection on the plurality of connector terminals based on the H terminal detection scenarios, so as to obtain a terminal quality detection second result.
And a terminal quality inspection report generating module 16, where the terminal quality inspection report generating module 16 is configured to sort the terminal quality inspection first result and the terminal quality inspection second result based on a terminal quality inspection report template, and generate a connector terminal quality inspection report.
Further, the external feature precision detection module 12 is further configured to perform the following steps:
The method comprises the steps of carrying out external feature precision detection on a plurality of connector terminals according to an auxiliary sensing module to obtain a plurality of terminal external feature precision coefficients, carrying out centralized value calculation according to the plurality of terminal external feature precision coefficients to obtain a terminal external feature precision centralized value, calculating the reciprocal of standard deviation of the plurality of terminal external feature precision coefficients to generate a terminal external feature precision stabilizing coefficient, and adding the plurality of terminal external feature precision coefficients, the terminal external feature precision centralized value and the terminal external feature precision stabilizing coefficient to a terminal quality detection first result.
Further, the external feature precision detection module 12 is further configured to perform the following steps:
The method comprises the steps of collecting external characteristic parameters of a plurality of connector terminals according to an auxiliary sensing module to obtain first terminal external characteristic size information and first terminal external characteristic surface parameters, extracting preset terminal external characteristic size information according to a terminal production process, carrying out size precision evaluation on the first terminal external characteristic size information based on the preset terminal external characteristic size information to obtain a first terminal size precision evaluation coefficient, carrying out surface precision evaluation according to the first terminal external characteristic surface parameters to obtain a first terminal surface precision evaluation coefficient, carrying out weighted calculation on the first terminal size precision evaluation coefficient and the first terminal surface precision evaluation coefficient according to an external characteristic precision detection weight to obtain a first terminal external characteristic precision coefficient, and adding the first terminal external characteristic precision coefficient to the plurality of terminal external characteristic precision coefficients.
Further, the terminal usage scene mining module 14 is further configured to perform the following steps:
the method comprises the steps of carrying out terminal retrieval of the same type according to the terminal model to obtain a plurality of sample connector terminals, carrying out usage scene parameter acquisition according to the plurality of sample connector terminals based on the terminal usage field Jing Yinzi to obtain a plurality of historical terminal usage scene information, carrying out constraint interval analysis according to the plurality of historical terminal usage scene information to determine a plurality of terminal usage scene constraints, carrying out usage scene parameter setting according to the plurality of terminal usage scene constraints based on the terminal usage field Jing Yinzi to obtain a terminal test scene set, carrying out comparison degree optimization according to the terminal test scene set to generate the H terminal detection scenes.
Further, the terminal usage scene mining module 14 is further configured to perform the following steps:
Performing pairwise comparison according to the terminal test scene set to obtain a plurality of scene comparison degrees;
The method comprises the steps of judging whether the scene comparison degree is smaller than a preset scene comparison degree, generating an identification terminal test scene if any one of the scene comparison degrees is smaller than the preset scene comparison degree, carrying out scene comparison degree enhancement on the identification terminal test scene based on the preset scene comparison degree to obtain an optimized terminal test scene, and adding the optimized terminal test scene to the H terminal detection scenes.
Further, the application performance detection module 15 is further configured to perform the following steps:
The method comprises the steps of carrying out external feature qualification screening on a plurality of connector terminals based on terminal external feature precision constraint and combining with a first terminal quality detection result to obtain a plurality of external feature qualified terminals, carrying out complexity evaluation according to H terminal detection scenes to obtain H scene complexity coefficients, carrying out duty ratio calculation according to the H scene complexity coefficients to obtain H scene complexity excitation coefficients, distributing the plurality of external feature qualified terminals according to the H terminal detection scenes based on the H scene complexity excitation coefficients to obtain H scene terminal detection groups, carrying out application performance detection on the H scene terminal detection groups based on the H terminal detection scenes to obtain H scene terminal application performance coefficients, carrying out weighted calculation on the H scene terminal application performance coefficients based on the H scene complexity excitation coefficients to generate a comprehensive scene terminal application performance coefficient, and adding the comprehensive scene terminal application performance coefficient and the H scene terminal application performance coefficients to the terminal quality detection second result.
Further, the application performance detection module 15 is further configured to perform the following steps:
Extracting an H terminal detection scene and an H scene terminal detection group according to the H terminal detection scenes and the H scene terminal detection groups, wherein H is a positive integer, H is more than or equal to 1 and less than or equal to H, performing application performance test on all external characteristic qualified terminals in the H scene terminal detection group according to the H terminal detection scenes to obtain a plurality of terminal application performance detection data, obtaining a plurality of terminal application performance evaluation coefficients according to a terminal application performance evaluation model based on the plurality of terminal application performance detection data, calculating the average value of the plurality of terminal application performance evaluation coefficients to obtain an H scene terminal application performance coefficient, and adding the H scene terminal application performance coefficient to the H scene terminal application performance coefficient.
It should be noted that the 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 foregoing description has been directed to specific embodiments of this specification. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.
The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. A connector terminal quality detection method incorporating auxiliary sensing, the method comprising:
Obtaining a terminal set to be detected, wherein the terminal set to be detected comprises a plurality of connector terminals, and the connector terminals have the same terminal model and terminal production process;
According to the auxiliary sensing module, external feature precision detection is carried out on the terminal set to be detected, and a first terminal quality detection result is generated;
Setting a terminal use field Jing Yinzi, wherein the terminal use field factors include a terminal use environment, a terminal application device model, and a terminal application voltage current;
Based on the terminal model, carrying out terminal use scene mining in combination with the terminal use field Jing Yinzi to construct H terminal detection scenes, wherein H is a positive integer greater than 1;
performing application performance detection on the plurality of connector terminals based on the H terminal detection scenes to obtain a terminal quality detection second result;
And sorting the first terminal quality detection result and the second terminal quality detection result based on a terminal quality detection report template, and generating a connector terminal quality detection report.
2. The method of claim 1, wherein performing external feature accuracy detection on the set of terminals to be detected according to an auxiliary sensing module, generating a terminal quality detection first result, comprises:
According to the auxiliary sensing module, external feature precision detection is carried out on the plurality of connector terminals, and a plurality of terminal external feature precision coefficients are obtained;
carrying out centralized value calculation according to the plurality of external terminal characteristic precision coefficients to obtain an external terminal characteristic precision centralized value;
calculating the reciprocal of the standard deviation of the external characteristic precision coefficients of the plurality of terminals to generate an external characteristic precision stability coefficient of the terminals;
And adding the plurality of off-terminal feature precision coefficients, the off-terminal feature precision set value, and the off-terminal feature precision stability coefficient to the terminal quality detection first result.
3. The method of claim 2, wherein performing external feature accuracy detection on the plurality of connector terminals based on the auxiliary sensing module to obtain a plurality of terminal external feature accuracy coefficients, comprises:
Acquiring external characteristic parameters of the connector terminals according to the auxiliary sensing module to obtain external characteristic size information of the first terminal and external characteristic surface parameters of the first terminal;
Extracting the information of the external characteristic size of the preset terminal according to the terminal production process;
Performing size precision evaluation on the first terminal external feature size information based on the predetermined terminal external feature size information to obtain a first terminal size precision evaluation coefficient;
carrying out surface precision evaluation according to the external characteristic surface parameters of the first terminal to obtain a first terminal surface precision evaluation coefficient;
And carrying out weighted calculation on the first terminal size precision evaluation coefficient and the first terminal surface precision evaluation coefficient according to the external characteristic precision detection weight to obtain a first terminal external characteristic precision coefficient, and adding the first terminal external characteristic precision coefficient to the plurality of terminal external characteristic precision coefficients.
4. The method of claim 1, wherein constructing H terminal detection scenarios based on the terminal model in conjunction with the terminal usage scenarios mining of the terminal usage scenarios Jing Yinzi comprises:
performing the same type terminal retrieval according to the terminal model to obtain a plurality of sample connector terminals;
based on the terminal usage field Jing Yinzi, collecting usage scene parameters according to the plurality of sample connector terminals to obtain a plurality of historical terminal usage scene information;
performing constraint interval analysis according to the historical terminal usage scene information to determine a plurality of terminal usage scene constraints;
Based on the terminal usage field Jing Yinzi, performing usage scene parameter setting according to the plurality of terminal usage scene constraints to obtain a terminal test scene set;
And performing comparison optimization according to the terminal test scene set to generate the H terminal detection scenes.
5. The method of claim 4, wherein generating the H terminal detection scenarios based on the set of terminal test scenarios for comparison optimization comprises:
Performing pairwise comparison according to the terminal test scene set to obtain a plurality of scene comparison degrees;
judging whether the scene comparison degrees are smaller than a preset scene comparison degree or not;
If any one of the scene comparison degrees is smaller than the preset scene comparison degree, generating an identification terminal test scene;
And based on the preset scene comparison degree, performing scene comparison degree enhancement on the identification terminal test scene to obtain an optimized terminal test scene, and adding the optimized terminal test scene to the H terminal detection scenes.
6. The method of claim 1, wherein applying performance testing to the plurality of connector terminals based on the H terminal test scenarios to obtain terminal quality testing second results comprises:
Based on the external feature precision constraint of the terminal, carrying out external feature qualified screening on the plurality of connector terminals by combining the first terminal quality detection result to obtain a plurality of external feature qualified terminals;
performing complexity evaluation according to the H terminal detection scenes to obtain H scene complexity coefficients;
performing duty ratio calculation according to the H scene complexity coefficients to obtain H scene complexity excitation coefficients;
Based on the H scene complexity excitation coefficients, distributing the plurality of external feature qualified terminals according to the H terminal detection scenes to obtain H scene terminal detection groups;
based on the H terminal detection scenes, performing application performance detection on the H scene terminal detection groups to obtain H scene terminal application performance coefficients;
Weighting and calculating the H scene terminal application performance coefficients based on the H scene complexity excitation coefficients to generate a comprehensive scene terminal application performance coefficient;
And adding the comprehensive scene terminal application performance coefficient and the H scene terminal application performance coefficients to the terminal quality detection second result.
7. The method of claim 6, wherein performing application performance detection on the H scene terminal detection groups based on the H terminal detection scenes to obtain H scene terminal application performance coefficients, comprising:
Extracting an H terminal detection scene and an H scene terminal detection group according to the H terminal detection scenes and the H scene terminal detection groups, wherein H is a positive integer, and H is more than or equal to 1 and less than or equal to H;
According to the h terminal detection scene, performing application performance test on all external characteristic qualified terminals in the h scene terminal detection group to obtain a plurality of terminal application performance detection data;
Obtaining a plurality of terminal application performance evaluation coefficients according to a terminal application performance evaluation model based on the plurality of terminal application performance detection data;
and calculating the average value of the terminal application performance evaluation coefficients to obtain an H scene terminal application performance coefficient, and adding the H scene terminal application performance coefficient to the H scene terminal application performance coefficients.
8. Connector terminal quality detection device incorporating auxiliary sensing, characterized in that the device comprises:
The terminal set to be detected is used for obtaining a terminal set to be detected, wherein the terminal set to be detected comprises a plurality of connector terminals, and the connector terminals have the same terminal model and terminal production process;
The external feature precision detection module is used for detecting the external feature precision of the terminal set to be detected according to the auxiliary sensing module, and generating a first terminal quality detection result;
the terminal use scene factor setting module is used for setting a terminal use scene Jing Yinzi, wherein the terminal use scene factor comprises a terminal use environment, a terminal application equipment model and a terminal application voltage current;
The terminal use scene mining module is used for mining the terminal use scene by combining the terminal use scene Jing Yinzi based on the terminal model, and constructing H terminal detection scenes, wherein H is a positive integer greater than 1;
the application performance detection module is used for detecting the application performance of the plurality of connector terminals based on the H terminal detection scenes to obtain a terminal quality detection second result;
and the terminal quality inspection report generation module is used for sorting the first terminal quality inspection result and the second terminal quality inspection result based on a terminal quality inspection report template to generate a connector terminal quality inspection report.
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