High-performance signal shockproof connector and performance detection method thereof

Abstract

The invention discloses a high-performance signal anti-vibration connector and a performance detection method thereof, and the method comprises the steps: loading vibration parameters of vibration environment simulation for a to-be-detected anti-vibration connector through a six-axis vibration simulation platform, inputting signal excitation for simulating a real working condition to the anti-vibration connector, a micro sensor is embedded in a key position of a shockproof module of the shockproof connector, and micro dynamic response is monitored in real time; synchronously acquiring electric signal data output by the shockproof connector and pressure data and stress data detected by the micro sensor, and identifying key factors and performance indexes which influence the performance of the connector through a data association model; performing evaluation according to preset performance indexes to complete detection; environment simulation, signal testing, microscopic monitoring and intelligent analysis are organically combined, an efficient and reliable performance detection means is provided for specific structural design and application requirements of the shockproof connector, and the application reliability of the shockproof connector in a high-vibration environment of a new energy automobile is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of connectors, and in particular to a high-performance signal shockproof connector and a performance detection method thereof. Background Art

[0002] With the rapid development of the new energy vehicle industry, the electrification and intelligence of vehicles are constantly improving. During the driving process of new energy vehicles, due to factors such as motor drive and road conditions, a high-frequency vibration environment will be generated. This high-frequency vibration poses a severe challenge to the electronic equipment and signal transmission system in the car. In particular, the performance of connectors used for signal transmission directly affects the safety and reliability of the entire vehicle. Therefore, the development of high-performance signal shockproof connectors suitable for high-frequency vibration environments has become an urgent problem to be solved in the industry.

[0003] At present, traditional connector performance testing methods mainly focus on conventional electrical performance tests and simple mechanical vibration tests. These methods usually only target the macro performance indicators of connectors, such as contact resistance, insulation resistance, and withstand voltage performance, and lack in-depth analysis of microstructural responses. At the same time, existing vibration tests often cannot fully simulate the complex vibration environment in the actual operation of new energy vehicles, and cannot accurately evaluate the performance of connectors under high-frequency vibration. In addition, traditional detection methods lack intelligent analysis methods, and cannot effectively identify and quantify the key factors that affect connector performance. These defects make it impossible for existing detection methods to comprehensively and accurately evaluate the performance of high-performance signal shockproof connectors, and it is difficult to detect potential problems in a timely manner, affecting the application reliability of shockproof connectors in high-vibration environments.

[0004] In view of this, it is necessary to improve the connector performance detection method in the prior art to solve the technical problem of inaccurate performance detection. Summary of the invention

[0005] The purpose of the present invention is to provide a high-performance signal shockproof connector and a performance detection method thereof to solve the above technical problems.

[0006] To achieve this object, the present invention adopts the following technical solutions: A performance detection method for a high-performance signal shockproof connector, comprising: The vibration parameters of the vibration environment simulation are loaded on the shockproof connector to be tested through a six-axis vibration simulation platform; wherein the shockproof connector includes a micro-elastic support structure and a micro-damping layer; Inputting a signal stimulus simulating a real working condition into the anti-vibration connector, wherein the signal stimulus includes a complex modulation signal and a high-speed digital signal; A micro sensor is embedded in a key position of the anti-vibration module of the anti-vibration connector to monitor the microscopic dynamic response in real time. The micro sensor includes a strain gauge and a piezoelectric element. The piezoelectric element is installed in the micro elastic support structure to detect its pressure change, and the strain gauge is installed in the micro damping layer to detect its stress change. Synchronously collect the electrical signal data output by the shockproof connector, as well as the pressure data and stress data detected by the micro sensor, and input the collected data into an intelligent analysis system, identify the key factors affecting the connector performance through the data association model pre-established by the intelligent analysis system, and assign a corresponding performance index to each key factor; According to the preset performance indicators, the performance index of the shockproof connector is evaluated to generate a performance test report including microstructure response characteristics, signal transmission quality and overall shockproof effect.

[0007] Optionally, the six-axis vibration simulation platform is used to load vibration parameters of the vibration environment simulation for the shockproof connector to be tested, specifically including: Setting initial parameters of the six-axis vibration simulation platform, wherein the initial parameters include a vibration frequency range, an acceleration range, and a displacement range; According to the structural characteristics and size of the shockproof connector to be tested, a fixture is selected to fix the shockproof connector on a six-axis vibration simulation platform; A vibration loading scheme is formulated, the vibration loading scheme comprising a plurality of vibration stages, each vibration stage being provided with operating parameters of a sweep range of vibration frequency, a gradual increase in acceleration, a vibration direction and a duration.

[0008] Optionally, after formulating the vibration loading scheme, the step further includes: According to the vibration loading scheme, the six-axis vibration simulation platform is controlled to perform vibration loading on the shockproof connector to be tested, and vibration signals with different frequencies, accelerations and directions are applied in multiple vibrations to gradually increase the vibration intensity; During the vibration loading process, the operating status and output parameters of the six-axis vibration simulation platform are monitored in real time; at the same time, the actual operating parameters and time series data of the vibration loading are recorded; After the loading of the vibration loading scheme is completed, the physical state of the shockproof connector to be tested is checked.

[0009] Optionally, the specific process of inputting a signal excitation simulating a real working condition to the anti-vibration connector is: Select and configure a signal excitation source, which can generate a variety of complex modulation signals and high-speed digital signals, including quadrature amplitude modulation and phase shift keying signals, and high-speed digital signals including differential signals and single-ended signals, with a signal frequency range from 1 kHz to 10 GHz; Setting signal parameters of the signal excitation source, wherein the signal parameters include signal type, frequency, amplitude and modulation mode; Connecting the signal excitation source to the signal input terminal of the shockproof connector to be tested via a shielded coaxial cable; The signal excitation source is calibrated, and an oscilloscope and spectrum analyzer are used to verify whether the waveform, frequency, and amplitude of the generated complex modulation signal and high-speed digital signal meet the preset test standards.

[0010] Optionally, the signal excitation source is calibrated, and an oscilloscope and a spectrum analyzer are used to verify whether the waveform, frequency and amplitude of the generated complex modulation signal and high-speed digital signal meet the preset test standards, and then the method further includes: Start the signal excitation source, input the complex modulation signal and the high-speed digital signal to the shockproof connector to be tested, and simulate the signal transmission condition under the actual working condition; During the signal excitation input process, the operating status of the signal excitation source is monitored in real time, and the parameter change values ​​of the signal excitation are recorded; During the signal excitation process, the signal parameters of the signal excitation source are adjusted to simulate the signal transmission requirements under different working conditions. The adjustment process includes the dynamic change of the signal frequency and the switching of the modulation mode.

[0011] Optionally, the synchronously collecting the electrical signal data output by the shockproof connector and the pressure data and stress data detected by the micro sensor, and inputting the collected data into an intelligent analysis system, specifically includes: Configure a data acquisition system to simultaneously collect the electrical signal data output by the shockproof connector, the pressure data and stress data detected by the micro sensor; The analog signals of electrical signals, pressure signals and stress signals are converted into digital signals through analog-to-digital converters, and a time synchronization mechanism is used to process the timing consistency of each type of data; Use high-speed data transmission interface to transmit digitized electrical signal data, pressure data and stress data to intelligent analysis system in real time; During the data collection process, the data recorder is used to back up and store the collected electrical signal data, pressure data, and stress data; The collected data is preprocessed, and the preprocessing includes denoising, filtering and standardization.

[0012] Optionally, the key factors affecting the connector performance are identified through the data association model pre-established by the intelligent analysis system, and a corresponding performance index is assigned to each key factor, specifically including: Using the pre-established data association model, the real-time collected electrical signal data, pressure data and stress data are comprehensively analyzed to identify the key factors affecting the performance of the shockproof connector, including the stress distribution of the micro-elastic support structure, the pressure change of the nano-damping layer and the noise interference in the signal transmission; According to the weight and influence of each key factor in the model, a corresponding performance index is assigned, and the performance index uses a standardized score to quantify the contribution of each factor to the overall performance of the connector; The identified key factors and their performance indexes are stored in the database in the form of structured data and displayed through the visual interface of the intelligent analysis system.

[0013] Optionally, the process of pre-establishing the data association model is: In the intelligent analysis system, the historical test data and experimental data collected in advance are used to pre-establish the correlation model between the electrical signal data and the pressure and stress data using the machine learning algorithm of multivariate regression analysis. The correlation model is used to describe the mutual relationship and influence mechanism between different data. Train and validate pre-established data association models, and use cross-validation or holdout methods to evaluate the prediction accuracy and generalization ability of the association models; Based on the model training and verification results, optimize the model parameters and structure, adjust the algorithm configuration; and store the optimized data association model in the intelligent analysis system.

[0014] Optionally, the evaluating the performance index of the shockproof connector according to a preset performance index specifically includes: Setting preset performance indicators, wherein the performance indicators include vibration reduction efficiency and signal integrity parameters, wherein the vibration reduction efficiency indicators include vibration energy attenuation rate and peak acceleration reduction rate; and the signal integrity parameters include transmission bit error rate, signal reflection loss and signal eye opening; According to the preset performance indicators, a weight coefficient of each performance indicator is set, and the weight coefficient is allocated according to the actual application requirements and the importance of the key performance factors; Extract the performance index generated in the intelligent analysis system, use the weighted scoring method to compare each performance index with the preset performance indicators, and calculate the comprehensive performance score, where the comprehensive performance score = (vibration reduction efficiency index × vibration reduction efficiency weight) + (signal integrity index × signal integrity weight); According to the comprehensive performance score, it is determined whether the overall performance of the shockproof connector meets the preset standard, and the determination standard includes multiple levels of pass / fail, excellent / good / average / poor.

[0015] The present invention also provides a high-performance signal shockproof connector, which is tested by using the performance testing method of the high-performance signal shockproof connector as described above. The high-performance signal shockproof connector specifically includes: A connector body, used to realize physical connection and transmission of signals, the connector body having a plurality of signal contacts and electrical connection paths; A micro-elastic support structure is arranged in the internal support area of ​​the connector body and distributed along the longitudinal direction of the connector, and the micro-elastic support structure is made of a high-elastic material; A micro-damping layer is provided at the connection interface of the connector body and covers the key part of the signal transmission path, and the micro-damping layer is made of a high-damping material; During detection, the micro-elastic support structure is embedded with a piezoelectric element for detecting the pressure changes generated during the vibration process; the micro-damping layer is embedded with a strain gauge for real-time monitoring of stress changes.

[0016] Compared with the prior art, the present invention has the following beneficial effects: first, a simulated vibration environment is applied to the shockproof connector to be tested through a six-axis vibration simulation platform, fully simulating the high-frequency vibration environment in practical applications such as new energy vehicles; a signal excitation simulating the real working condition is input to the shockproof connector to evaluate the signal transmission capability of the connector under the vibration environment; micro sensors are embedded in key positions of the shockproof module, which are respectively installed on the micro damping layer and the micro elastic support structure, and their stress and pressure changes are monitored in real time to obtain micro dynamic response data; the electrical signal data output by the connector and the detection data of the micro sensor are synchronously collected and input into the intelligent analysis system, and the key factors affecting the performance of the connector are identified through a pre-established data association model, and a corresponding performance index is assigned to each key factor; the performance index is evaluated according to the preset performance indicators, and a performance test report including micro structural response characteristics, signal transmission quality and overall shockproof effect is generated, and the performance of the connector is fully evaluated; the method organically combines environmental simulation, signal testing, micro monitoring and intelligent analysis, and provides an efficient and reliable performance testing method for the specific structural design and application requirements of the shockproof connector, which helps to improve the application reliability of the shockproof connector in the high vibration environment of new energy vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0019] Figure 1 This is one of the flow charts of the performance detection method of the high-performance signal shockproof connector of the first embodiment of the present invention; Figure 2 This is a second flow chart of the performance detection method of the high-performance signal shockproof connector of the first embodiment. DETAILED DESCRIPTION

[0020] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In the description of the present invention, it should be understood that the terms "upper", "lower", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. It should be noted that when a component is considered to be "connected" to another component, it may be directly connected to the other component or there may be a centrally arranged component at the same time.

[0022] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0023] Embodiment 1: Combination Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a performance detection method for a high-performance signal shockproof connector, comprising: S1, loading vibration parameters of vibration environment simulation on the shockproof connector to be tested through a six-axis vibration simulation platform; wherein the shockproof connector includes a micro-elastic support structure and a micro-damping layer; It should be noted that the vibration parameters of the vibration environment simulation are applied to the high-performance signal shockproof connector to be tested using a six-axis vibration simulation platform, aiming to simulate the complex vibration conditions that the connector may encounter in actual applications. Specifically, the vibration parameters include three aspects: vibration frequency, acceleration, and displacement. The vibration frequency range usually covers from low frequency (such as 10Hz) to high frequency (such as 2000 Hz) to simulate the vibration characteristics under different working conditions; the acceleration range is set from a lower 0.5 g to a higher 15 g to evaluate the connector's tolerance to vibrations of different intensities; the displacement range is adjusted according to the actual application requirements to ensure that the displacement changes of the connector in the working environment can be fully covered.

[0024] S2, inputting a signal stimulus simulating a real working condition to the anti-vibration connector, the signal stimulus including a complex modulation signal and a high-speed digital signal; The purpose is to input signal excitations that simulate real working conditions into the shockproof connector to evaluate its transmission performance and anti-interference ability in a complex signal environment. Signal excitations include complex modulation signals and high-speed digital signals, such as complex modulation methods such as quadrature amplitude modulation (QAM) and phase shift keying (PSK), as well as high-speed digital signals such as differential signals and single-ended signals. By configuring a high-performance signal excitation source, setting the frequency, amplitude and modulation method of the signal, ensure that the signal excitation can cover various signal types and transmission conditions that the connector may encounter in actual applications. At the same time, high-precision signal transmission paths and shielding measures are adopted to reduce the impact of external electromagnetic interference on signal transmission. By continuously inputting signal excitations that simulate real working conditions, the performance of the shockproof connector in high-frequency and high-speed signal transmission can be fully evaluated to ensure its reliability and stability in actual applications.

[0025] S3, embedding micro sensors at key positions of the anti-vibration module of the anti-vibration connector to monitor the microscopic dynamic response in real time. The micro sensors include strain gauges and piezoelectric elements. The piezoelectric elements are installed in the micro-elastic support structure to detect its pressure changes, and the strain gauges are installed in the micro-damping layer to detect its stress changes; By embedding micro sensors at key locations of shockproof connectors, real-time monitoring of the connector's microscopic dynamic response in a vibration environment can be achieved. Specifically, the micro sensors include strain gauges and piezoelectric elements, which are installed in the micro-damping layer and the micro-elastic support structure, respectively. The piezoelectric element is embedded in the micro-elastic support structure to detect the pressure changes generated during the vibration process, and can reflect the pressure response characteristics of the connector under different vibration intensities in real time; the strain gauge is installed in the micro-damping layer to monitor stress changes and capture the stress distribution and changes of the connector under vibration.

[0026] S4, synchronously collects the electrical signal data output by the shockproof connector, as well as the pressure data and stress data detected by the micro sensor, and inputs the collected data into the intelligent analysis system. Through the data association model pre-established by the intelligent analysis system, the key factors affecting the performance of the connector are identified, and the corresponding performance index is assigned to each key factor; It should be noted that the electrical signal data output by the anti-vibration connector and the pressure data and stress data detected by the micro sensor are collected synchronously, and these data are input into the intelligent analysis system for further processing. The specific operations include: Synchronous data acquisition: A high-sampling rate data acquisition system is used to simultaneously capture the electrical signal data output by the connector (such as transmission bit error rate, signal integrity parameters, etc.), as well as the pressure data and stress data embedded in the micro-sensors, to ensure the timing consistency and synchronization of various types of data.

[0027] Data transmission and storage: The collected digital data is transmitted to the intelligent analysis system in real time through a high-speed data interface (such as USB 3.0, Ethernet or PCIe), and backed up and stored to ensure data integrity and traceability.

[0028] Intelligent analysis system processing: In the intelligent analysis system, pre-established data association models are used to analyze and identify key factors that affect connector performance. These models are trained based on machine learning algorithms (such as neural networks, support vector machines, etc.), which can extract valuable information from large amounts of data and assign corresponding performance indexes to each key factor.

[0029] By implementing step S4, the electrical signals and mechanical response data of the shockproof connector in a vibration environment can be comprehensively and accurately collected and analyzed, and the main factors affecting its performance can be identified.

[0030] S5, evaluates the performance index of the shockproof connector according to the preset performance indicators, and generates a performance test report including the microstructure response characteristics, signal transmission quality and overall shockproof effect.

[0031] 1. Performance index setting: pre-define key performance indicators such as vibration reduction efficiency and signal integrity, and assign corresponding weight coefficients to each indicator to ensure that the evaluation results can fully reflect the comprehensive performance of the connector.

[0032] 2. Performance index calculation: Based on the key factors identified in step S4 and the corresponding performance index, a weighted scoring method is used to calculate the comprehensive performance score to quantify the performance of the shockproof connector in various indicators.

[0033] 3. Performance evaluation and judgment: Based on the comprehensive performance score, determine whether the connector meets the preset performance standards, and grade it according to the score (such as pass / fail, excellent / good / average / poor, etc.).

[0034] 4. Report generation and analysis: Summarize the evaluation results and generate a detailed performance test report, which includes the specific values ​​of each key performance indicator, the score and its impact on the overall performance. At the same time, provide targeted optimization suggestions to guide subsequent design improvements and product optimization.

[0035] 5. Data storage and feedback: The generated test reports are stored in the database, and access rights are provided through the user interface of the intelligent analysis system to support technicians to query the test results and analyze historical data.

[0036] The working principle of the present invention is as follows: first, a simulated vibration environment is applied to the shockproof connector to be tested through a six-axis vibration simulation platform to fully simulate the high-frequency vibration environment in practical applications such as new energy vehicles; a signal excitation simulating a real working condition is input to the shockproof connector to evaluate the signal transmission capability of the connector under a vibration environment; micro sensors are embedded in key positions of the shockproof module, which are respectively installed on a micro damping layer and a micro elastic support structure to monitor their stress and pressure changes in real time and obtain micro dynamic response data; the electrical signal data output by the connector and the detection data of the micro sensor are synchronously collected and input into an intelligent analysis system, and the key factors affecting the performance of the connector are identified through a pre-established data association model, and a corresponding performance index is assigned to each key factor; the performance index is evaluated according to preset performance indicators, and a performance test report including microstructural response characteristics, signal transmission quality and overall shockproof effect is generated, and the performance of the connector is fully evaluated; the method organically combines environmental simulation, signal testing, micro monitoring and intelligent analysis, and provides an efficient and reliable performance testing method for the specific structural design and application requirements of the shockproof connector, which helps to improve the application reliability of the shockproof connector in the high vibration environment of new energy vehicles.

[0037] In this embodiment, it is specifically explained that step S1 specifically includes: S11, setting initial parameters of the six-axis vibration simulation platform, the initial parameters including a vibration frequency range, an acceleration range, and a displacement range, so that the platform can cover vibration conditions that the shockproof connector to be tested may encounter in actual applications.

[0038] Set the initial parameters of the six-axis vibration simulation platform, including the vibration frequency range, acceleration range, and displacement range. Specifically, the vibration frequency range should cover all frequency bands that the connector may encounter in actual applications, such as from 10 Hz to 2000 Hz, to simulate the vibration characteristics under different working conditions; the acceleration range is set to 0.5 g to 15 g to evaluate the connector's tolerance to mild to extreme vibration intensities; the displacement range is adjusted according to the size of the connector and actual needs, such as ±5mm, to ensure that the displacement changes of the connector in the working environment can be fully simulated.

[0039] S12. According to the structural characteristics and dimensions of the shockproof connector to be tested, select a fixture and fix the shockproof connector on the six-axis vibration simulation platform; ensure that the installation position and posture are consistent with the actual use.

[0040] First, select the appropriate fixture type according to the shape, weight and size of the connector to ensure that the connector is stable in the fixture without introducing additional stress; then, accurately position the connector in the fixture to avoid uneven vibration or stress concentration caused by installation errors; finally, use appropriate fasteners (such as bolts or fixture fixing nuts) to firmly fix the connector to ensure that the connector will not move or loosen during vibration loading. Ensure that the shockproof connector is firmly and reliably installed on the vibration simulation platform to ensure the accuracy of vibration loading and the validity of test results.

[0041] S13, formulating a vibration loading scheme, the vibration loading scheme including a plurality of vibration stages, each vibration stage being provided with operating parameters of a vibration frequency scanning range, a gradual increase in acceleration, a vibration direction and a duration; Develop a vibration loading plan, which specifically includes multiple vibration stages, and set the vibration frequency scanning range, gradual increase in acceleration, vibration direction and duration for each stage. First, divide the entire vibration loading process into several stages, such as the initial, intermediate and high-intensity stages, to gradually increase the vibration intensity; second, set a different frequency scanning range for each stage, such as 10-500 Hz for the initial stage, 500-1500 Hz for the intermediate stage, and 1500-2000 Hz for the high-intensity stage to cover the full vibration frequency band; then, gradually increase the acceleration from 0.5 g to 15 g to simulate vibration environments of different intensities; in addition, set different vibration directions (such as X, Y, Z axis directions and their combinations) to simulate multi-directional vibrations in actual applications; finally, set a specific duration for each vibration stage, such as 5 seconds for each frequency point, to ensure that the vibration resistance of the connector is fully evaluated. By formulating a vibration loading plan in detail, the vibration test process is ensured to be systematic and orderly, and the performance of the shockproof connector under different vibration conditions can be fully evaluated.

[0042] S14, according to the vibration loading scheme, controlling the six-axis vibration simulation platform to perform vibration loading on the shockproof connector to be tested, applying vibration signals of different frequencies, accelerations and directions in multiple vibrations, and gradually increasing the vibration intensity; According to the established vibration loading scheme, the six-axis vibration simulation platform is controlled to perform vibration loading on the shockproof connector to be tested. The specific operation includes generating vibration signals of different frequencies, accelerations and directions according to the vibration loading scheme, applying multi-directional vibrations through the multi-axis control function of the six-axis vibration simulation platform to simulate the complex actual vibration environment; at the same time, the vibration intensity is gradually increased to ensure that the parameters of each vibration stage are accurately executed; in addition, the operating status of the vibration platform is monitored in real time, and parameters are adjusted when necessary to ensure that the vibration loading process complies with the predetermined scheme.

[0043] S15, during the vibration loading process, real-time monitoring of the operating status and output parameters of the six-axis vibration simulation platform; at the same time, recording the actual operating parameters and time series data of the vibration loading; During the vibration loading process, the operating status and output parameters of the six-axis vibration simulation platform are monitored in real time, and the actual operating parameters and time series data of the vibration loading are recorded. Specifically, it includes real-time monitoring of the vibration platform's vibration frequency, acceleration, and displacement changes in each axis direction to ensure that the platform operates normally according to the loading plan; using a high-sampling rate data acquisition system to accurately record the actual output parameters of each vibration axis and generate detailed time series data; in addition, setting up anomaly detection and alarm mechanisms to promptly discover and handle abnormal situations during operation to ensure the safety of the test process and the integrity of the data.

[0044] S16, after completing the loading of the vibration loading scheme, check the physical state of the shockproof connector to be tested to ensure that there are no abnormal conditions such as loose installation and structural damage during the test process to ensure the reliability of the test results.

[0045] In this embodiment, it is specifically described that step S2 specifically includes: S21, select and configure the signal excitation source. The signal excitation source can generate a variety of complex modulation signals and high-speed digital signals. The complex modulation signals include orthogonal amplitude modulation and phase shift keying signals. The high-speed digital signals include differential signals and single-ended signals. The signal frequency range covers from 1 kHz to 10 GHz.

[0046] S22, set the signal parameters of the signal excitation source, the signal parameters include signal type, frequency, amplitude and modulation mode; specifically set the signal frequency from 10 MHz to 5 GHz, the signal amplitude range from -10 dBm to +10 dBm, and the modulation mode is dynamically adjusted according to the actual application requirements of the connector to be tested.

[0047] S23, connect the signal excitation source to the signal input terminal of the shockproof connector to be tested through a shielded coaxial cable to ensure the integrity of signal transmission and reduce the influence of external electromagnetic interference on the signal.

[0048] S24, calibrate the signal excitation source, and use an oscilloscope and a spectrum analyzer to verify whether the waveform, frequency, and amplitude of the generated complex modulation signal and high-speed digital signal meet the preset test standards.

[0049] S25, start the signal excitation source, input complex modulation signals and high-speed digital signals to the shockproof connector to be tested, and simulate the signal transmission conditions under actual working conditions; the continuous input time is set according to the test requirements, for example, continuous input for 1 hour, to evaluate the performance of the connector under long-term operation.

[0050] S26, during the signal excitation input process, real-time monitoring of the operating status of the signal excitation source and recording parameter change values ​​of the signal excitation; specifically, using a data recorder to save key parameter data during the signal excitation process.

[0051] S27, during the signal excitation process, adjust the signal parameters of the signal excitation source to simulate the signal transmission requirements under different working conditions. The adjustment process includes the dynamic change of the signal frequency and the switching of the modulation mode. Ensure that the performance of the shockproof connector to be tested in a variety of complex signal environments is fully evaluated.

[0052] In this embodiment, it is specifically described that step S4 specifically includes: S41, configure the data acquisition system to synchronously collect the electrical signal data output by the shockproof connector, the pressure data and stress data detected by the micro sensor; the electrical signal data acquisition rate shall not be less than 10 kS / s, the pressure data acquisition rate shall not be less than 1 kS / s, and the stress data acquisition rate shall not be less than 1 kS / s.

[0053] S42, converting the analog signals of the electrical signal, the pressure signal and the stress signal into digital signals through an analog-to-digital converter, and using a time synchronization mechanism to perform time consistency processing on each type of data.

[0054] S43, uses a high-speed data transmission interface (such as USB 3.0, Ethernet or PCIe) to transmit the digitized electrical signal data, pressure data and stress data to the intelligent analysis system in real time; S44, during the data collection process, the collected electrical signal data, pressure data and stress data are backed up and stored using a data recorder to ensure the integrity and traceability of the data for subsequent analysis and verification.

[0055] S45, preprocess the collected data, including denoising, filtering and standardization, to ensure the quality and consistency of the data and provide a reliable data basis for subsequent intelligent analysis.

[0056] S46, using the pre-established data association model, conducts a comprehensive analysis of the real-time collected electrical signal data, pressure data and stress data to identify the key factors affecting the performance of the shockproof connector, including the stress distribution of the micro-elastic support structure, the pressure change of the nano-damping layer and the noise interference in the signal transmission.

[0057] S47, according to the weight and influence of each key factor in the model, a corresponding performance index is assigned. The performance index uses a standardized score to quantify the contribution of each factor to the overall performance of the connector.

[0058] S48 stores the identified key factors and their performance indices in the form of structured data in the database and displays them through the visual interface of the intelligent analysis system; supporting technicians to intuitively evaluate and compare the performance of shockproof connectors.

[0059] In this embodiment, it should be noted that the process of pre-establishing the data association model is as follows: S401, in the intelligent analysis system, using the pre-collected historical test data and experimental data, a correlation model between the electrical signal data and the pressure and stress data is pre-established using a machine learning algorithm of multivariate regression analysis. The correlation model is used to describe the relationship and influence mechanism between different data.

[0060] S402, training and validating the pre-established data association model, and using cross-validation or hold-out method to evaluate the prediction accuracy and generalization ability of the association model.

[0061] S403, optimizing model parameters and structure and adjusting algorithm configuration according to model training and verification results; and storing the optimized data association model in the intelligent analysis system.

[0062] Adjust the algorithm configuration (such as learning rate, regularization parameters) to improve the prediction accuracy and robustness of the model, and ensure that the model can accurately reflect the complex relationship between various types of data; store the optimized data association model in the intelligent analysis system as the basis for real-time analysis and performance evaluation, and ensure that the model can be efficiently called and applied in the actual detection process.

[0063] In this embodiment, it is specifically described that step S5 specifically includes: S51, set the preset performance indicators, which include vibration reduction efficiency and signal integrity parameters. The vibration reduction efficiency indicators include vibration energy attenuation rate (for example, ≥90%) and peak acceleration reduction rate (for example, ≥85%); signal integrity parameters include transmission bit error rate (BER, ≤10^-12), signal reflection loss (S11, ≤-20 dB) and signal eye opening (EyeOpening, ≥50%).

[0064] Set preset performance indicators, mainly including vibration reduction efficiency and signal integrity parameters. Among them, the vibration reduction efficiency indicators specifically include the vibration energy attenuation rate and the peak acceleration reduction rate, which are used to evaluate the ability of the shockproof connector to reduce vibration energy and peak acceleration in a vibration environment; the signal integrity parameters cover the transmission bit error rate, signal reflection loss and signal eye diagram opening, which are used to measure the performance of the connector in maintaining signal quality and reducing signal distortion during high-frequency signal transmission. By clarifying these performance indicators, step S41 ensures that the performance evaluation can fully cover the performance of the shockproof connector in two key aspects: mechanical vibration reduction and signal transmission, and provide clear evaluation criteria for subsequent performance evaluation.

[0065] S52, according to the preset performance indicators, set the weight coefficient of each performance indicator, and the weight coefficient is allocated according to the actual application requirements and the importance of the key performance factors; for example, the vibration reduction efficiency accounts for 40% and the signal integrity accounts for 60%.

[0066] According to the preset performance indicators, set the weight coefficient of each performance indicator. Specifically, the vibration reduction efficiency and signal integrity parameters are weighted according to the actual application requirements and the importance of key performance factors. For example, in some applications, signal integrity may be more important than vibration reduction efficiency, so a higher weight coefficient is assigned. The process of setting the weight coefficient needs to be combined with the actual application scenario and product performance requirements. Through expert evaluation or data analysis methods, ensure that the weight of each performance indicator reflects its relative importance in the overall performance. By reasonably allocating weight coefficients, ensure that the comprehensive performance score can accurately reflect the comprehensive performance of the shockproof connector on different performance indicators.

[0067] S53, extract the performance index generated in the intelligent analysis system, use the weighted scoring method to compare each performance index with the preset performance indicators, and calculate the comprehensive performance score, which is (vibration reduction efficiency index × vibration reduction efficiency weight) + (signal integrity index × signal integrity weight).

[0068] The generated performance index is extracted from the intelligent analysis system, and the weighted scoring method is used to compare each performance index with the preset performance indicators to calculate the comprehensive performance score. The specific operation includes multiplying the vibration reduction efficiency index by its corresponding vibration reduction efficiency weight, multiplying the signal integrity index by its corresponding signal integrity weight, and then adding the two to obtain the comprehensive performance score. The formula is: Comprehensive performance score = (vibration reduction efficiency index × vibration reduction efficiency weight) + (signal integrity index × signal integrity weight). This process quantifies the performance of each performance indicator and combines its weight to ensure that the comprehensive performance score can fully reflect the overall performance of the shockproof connector in terms of vibration reduction and signal transmission, providing a quantitative basis for subsequent performance judgment.

[0069] S54, based on the comprehensive performance score, determines whether the overall performance of the shockproof connector meets the preset standard. The judgment criteria include multiple levels of pass / fail, excellent / good / fair / poor. The setting of the judgment criteria must be based on the product application needs and performance requirements to ensure that the evaluation results can accurately reflect the actual performance of the connector.

[0070] S55 generates a performance test report including microstructure response characteristics, signal transmission quality and overall shockproof effect.

[0071] Embodiment 2: The present invention further provides a high-performance signal shockproof connector, which is tested by using the performance testing method of the high-performance signal shockproof connector in the first embodiment. The high-performance signal shockproof connector specifically includes: The connector body is used to realize the physical connection and transmission of signals. The connector body has multiple signal contacts and electrical connection paths.

[0072] The micro-elastic support structure is arranged in the internal support area of ​​the connector body and distributed along the longitudinal direction of the connector. The micro-elastic support structure is made of highly elastic material; it can effectively absorb and alleviate external vibration energy and prevent vibration from being transmitted to the signal contacts.

[0073] The micro-damping layer is arranged at the connection interface of the connector body and covers the key parts of the signal transmission path. The micro-damping layer is made of high-damping material. It can further suppress vibration and reduce stress transfer to ensure the stability of signal transmission.

[0074] During the test, the micro-elastic support structure is embedded with a piezoelectric element to detect the pressure changes generated during the vibration process; the micro-damping layer is embedded with a strain gauge to monitor the stress changes in real time. This structural design enables the high-performance signal shockproof connector to maintain excellent signal transmission performance and mechanical stability in a high-vibration environment, and is suitable for high-vibration application scenarios such as new energy vehicles.

[0075] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A performance detection method for a high-performance signal shockproof connector, characterized in that: include: The vibration parameters of the vibration environment simulation are loaded on the shockproof connector to be tested through a six-axis vibration simulation platform; wherein the shockproof connector includes a micro-elastic support structure and a micro-damping layer; Inputting a signal stimulus simulating a real working condition into the anti-vibration connector, wherein the signal stimulus includes a complex modulation signal and a high-speed digital signal; A micro sensor is embedded in a key position of the anti-vibration module of the anti-vibration connector to monitor the microscopic dynamic response in real time. The micro sensor includes a strain gauge and a piezoelectric element. The piezoelectric element is installed in the micro elastic support structure to detect its pressure change, and the strain gauge is installed in the micro damping layer to detect its stress change. Synchronously collect the electrical signal data output by the shockproof connector, as well as the pressure data and stress data detected by the micro sensor, and input the collected data into an intelligent analysis system, identify the key factors affecting the connector performance through the data association model pre-established by the intelligent analysis system, and assign a corresponding performance index to each key factor; According to the preset performance indicators, the performance index of the shockproof connector is evaluated to generate a performance test report including microstructure response characteristics, signal transmission quality and overall shockproof effect.

2. The performance detection method of the high-performance signal shockproof connector according to claim 1 is characterized in that: The six-axis vibration simulation platform is used to load vibration parameters of the vibration environment simulation for the shockproof connector to be tested, specifically including: Setting initial parameters of the six-axis vibration simulation platform, wherein the initial parameters include a vibration frequency range, an acceleration range, and a displacement range; According to the structural characteristics and size of the shockproof connector to be tested, a fixture is selected to fix the shockproof connector on a six-axis vibration simulation platform; A vibration loading scheme is formulated, the vibration loading scheme comprising a plurality of vibration stages, each vibration stage being provided with operating parameters of a sweep range of vibration frequency, a gradual increase in acceleration, a vibration direction and a duration.

3. The performance detection method of the high-performance signal shockproof connector according to claim 2 is characterized in that: The formulation of the vibration loading scheme also includes: According to the vibration loading scheme, the six-axis vibration simulation platform is controlled to perform vibration loading on the shockproof connector to be tested, and vibration signals with different frequencies, accelerations and directions are applied in multiple vibrations to gradually increase the vibration intensity; During the vibration loading process, the operating status and output parameters of the six-axis vibration simulation platform are monitored in real time; at the same time, the actual operating parameters and time series data of the vibration loading are recorded; After the loading of the vibration loading scheme is completed, the physical state of the shockproof connector to be tested is checked.

4. The performance detection method of the high-performance signal shockproof connector according to claim 1, characterized in that: The specific process of inputting a signal excitation simulating a real working condition to the anti-vibration connector is as follows: Select and configure a signal excitation source, which can generate a variety of complex modulation signals and high-speed digital signals, including quadrature amplitude modulation and phase shift keying signals, and high-speed digital signals including differential signals and single-ended signals, with a signal frequency range from 1 kHz to 10 GHz; Setting signal parameters of the signal excitation source, wherein the signal parameters include signal type, frequency, amplitude and modulation mode; Connecting the signal excitation source to the signal input terminal of the shockproof connector to be tested via a shielded coaxial cable; The signal excitation source is calibrated, and an oscilloscope and spectrum analyzer are used to verify whether the waveform, frequency, and amplitude of the generated complex modulation signal and high-speed digital signal meet the preset test standards.

5. The performance detection method of the high-performance signal shockproof connector according to claim 4, characterized in that: The signal excitation source is calibrated, and an oscilloscope and a spectrum analyzer are used to verify whether the waveform, frequency and amplitude of the generated complex modulation signal and high-speed digital signal meet the preset test standards, and then the following are included: Start the signal excitation source, input the complex modulation signal and the high-speed digital signal to the shockproof connector to be tested, and simulate the signal transmission condition under the actual working condition; During the signal excitation input process, the operating status of the signal excitation source is monitored in real time, and the parameter change values ​​of the signal excitation are recorded; During the signal excitation process, the signal parameters of the signal excitation source are adjusted to simulate the signal transmission requirements under different working conditions. The adjustment process includes the dynamic change of the signal frequency and the switching of the modulation mode.

6. The performance detection method of the high-performance signal shockproof connector according to claim 1, characterized in that: The synchronously collecting the electrical signal data output by the shockproof connector and the pressure data and stress data detected by the micro sensor, and inputting the collected data into the intelligent analysis system, specifically includes: Configure a data acquisition system to simultaneously collect the electrical signal data output by the shockproof connector, the pressure data and stress data detected by the micro sensor; The analog signals of electrical signals, pressure signals and stress signals are converted into digital signals through analog-to-digital converters, and a time synchronization mechanism is used to process the timing consistency of each type of data; Use high-speed data transmission interface to transmit digitized electrical signal data, pressure data and stress data to intelligent analysis system in real time; During the data collection process, the data recorder is used to back up and store the collected electrical signal data, pressure data, and stress data; The collected data is preprocessed, and the preprocessing includes denoising, filtering and standardization.

7. The performance detection method of the high-performance signal shockproof connector according to claim 6, characterized in that: Through the data association model pre-established by the intelligent analysis system, the key factors affecting the performance of the connector are identified, and the corresponding performance index is assigned to each key factor, including: Using the pre-established data association model, the real-time collected electrical signal data, pressure data and stress data are comprehensively analyzed to identify the key factors affecting the performance of the shockproof connector, including the stress distribution of the micro-elastic support structure, the pressure change of the nano-damping layer and the noise interference in the signal transmission; According to the weight and influence of each key factor in the model, a corresponding performance index is assigned, and the performance index uses a standardized score to quantify the contribution of each factor to the overall performance of the connector; The identified key factors and their performance indexes are stored in the database in the form of structured data and displayed through the visual interface of the intelligent analysis system.

8. The performance detection method of the high-performance signal shockproof connector according to claim 7, characterized in that: The process of pre-establishing the data association model is as follows: In the intelligent analysis system, the historical test data and experimental data collected in advance are used to pre-establish the correlation model between the electrical signal data and the pressure and stress data using the machine learning algorithm of multivariate regression analysis. The correlation model is used to describe the mutual relationship and influence mechanism between different data. Train and validate pre-established data association models, and use cross-validation or holdout methods to evaluate the prediction accuracy and generalization ability of the association models; Based on the model training and verification results, optimize the model parameters and structure, adjust the algorithm configuration; and store the optimized data association model in the intelligent analysis system.

9. The performance detection method of the high-performance signal shockproof connector according to claim 1, characterized in that: The step of evaluating the performance index of the shockproof connector according to the preset performance index specifically includes: Setting preset performance indicators, wherein the performance indicators include vibration reduction efficiency and signal integrity parameters, wherein the vibration reduction efficiency indicators include vibration energy attenuation rate and peak acceleration reduction rate; and the signal integrity parameters include transmission bit error rate, signal reflection loss and signal eye opening; According to the preset performance indicators, a weight coefficient of each performance indicator is set, and the weight coefficient is allocated according to the actual application requirements and the importance of the key performance factors; Extract the performance index generated in the intelligent analysis system, use the weighted scoring method to compare each performance index with the preset performance indicators, and calculate the comprehensive performance score, where the comprehensive performance score = (vibration reduction efficiency index × vibration reduction efficiency weight) + (signal integrity index × signal integrity weight); According to the comprehensive performance score, it is determined whether the overall performance of the shockproof connector meets the preset standard, and the determination standard includes multiple levels of pass / fail, excellent / good / average / poor.

10. A high performance signal shockproof connector, characterized in that: The detection is implemented by using the performance detection method of the high-performance signal shockproof connector according to any one of claims 1 to 9, wherein the high-performance signal shockproof connector specifically comprises: A connector body, used to realize physical connection and transmission of signals, the connector body having a plurality of signal contacts and electrical connection paths; A micro-elastic support structure is arranged in the internal support area of ​​the connector body and distributed along the longitudinal direction of the connector, and the micro-elastic support structure is made of a high-elastic material; A micro-damping layer is provided at the connection interface of the connector body and covers the key part of the signal transmission path, and the micro-damping layer is made of a high-damping material; During detection, the micro-elastic support structure is embedded with a piezoelectric element for detecting the pressure changes generated during the vibration process; the micro-damping layer is embedded with a strain gauge for real-time monitoring of stress changes.

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