A glove anti-vibration material dynamic characteristic testing system and method based on a flexible intelligent sensor

Abstract

This invention relates to the field of dynamic mechanical property testing technology for materials, and discloses a dynamic characteristic testing system and method for glove vibration-damping materials based on flexible intelligent sensors. The system includes a vibration excitation module, a sample clamping module, a biomimetic loading module, a flexible intelligent sensing module, a reference measurement module, and a data acquisition and processing module. The biomimetic loading module applies a pre-compression load and forms a contact boundary simulating a palm, fingers, or the web of the hand; the flexible intelligent sensing module collects the contact pressure distribution. The data acquisition and processing module calculates the effective contact area, pressure dispersion, and contact center drift. After meeting the steady-state test window, vibration testing is initiated. By combining input and output acceleration, load, or displacement signals, vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness, and loss factor are obtained to improve the repeatability and interpretability of vibration-damping material testing.

Description

Technical Field

[0001] This invention relates to the field of dynamic mechanical property testing technology for materials, and in particular to a dynamic characteristic testing system and method for glove vibration damping materials based on flexible intelligent sensors. It is applicable to the dynamic characteristic testing of vibration damping gloves, protective glove interlayer materials, palm vibration damping pads, finger vibration damping pads, thumb vibration damping pads, elastic damping materials, gel materials, foamed materials, and multi-layer fabric composite vibration damping materials.

[0002] The glove vibration damping material referred to in this specification refers to a single-layer material, multi-layer material, or composite structure that is applied to the palm, fingers, web of the thumb, or other vibration-exposed contact areas of the vibration damping glove to alter the state of vibration transmission, dynamic stiffness, or energy dissipation. Its form can be a sheet, pad, gel block, foam layer, rubber layer, textile composite layer, or a localized vibration damping structure already sewn into the entire glove.

[0003] The dynamic characteristics referred to in this specification refer to the frequency-dependent mechanical response of the material under test under the combined action of pre-compression load and vibration excitation, including but not limited to vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness, loss factor, contact stability index, and anomaly markers. All parameters are output under the premise of the same test contact state to avoid misinterpreting installation differences as material differences. Background Technology

[0004] Handheld power tools, pneumatic tools, impact tools, and vibratory tools transmit mechanical vibrations to the operator's hand during use. Prolonged exposure to these vibrations can lead to damage to blood vessels, nerves, and joints in the hand. Vibration-damping gloves typically incorporate a layer of damping material in the palm, fingers, or web area to reduce the transmission of vibrations from the tool handle to the hand. The performance of damping materials is determined not only by the material's viscoelasticity, pore structure, gel ratio, and composite layer structure, but also by grip pressure, contact area, localized compression, and contact position stability.

[0005] Current testing methods for the vibration damping performance of gloves typically rely on standard handles, vibration tables, accelerometers, grip force monitoring devices, and data acquisition equipment. These tests can obtain the overall vibration transmissibility of the glove or vibration damping material within a specific frequency band, making them suitable for product evaluation. However, in actual testing, vibration damping glove materials are not ideally uniformly compressed. The material thickness, stitching structure, gel block distribution, foam pores, and fabric layers may vary in the palm, web, finger base, and fingertip areas. Even when the tester applies the same total grip force, localized areas of suspension, localized overpressure, edge lifting, or micro-slippage during vibration may still occur between the material and the bionic palm or handle.

[0006] Changes in local contact conditions alter the local compression and equivalent stiffness of the material, thus affecting vibration transmissibility test results. Existing solutions using single-point force sensors or a small number of pressure sensors typically only reflect the overall gripping or pushing force, making it difficult to determine whether the pressure distribution within the contact surface is uniform, or to confirm whether the contact area drifts during vibration testing. Existing solutions using accelerometers can reflect the overall vibration response at both the input and output ends, but cannot explain the effects of local overpressure or local suspension on the material's dynamic properties.

[0007] Flexible pressure array sensors can conform to curved surfaces and acquire contact pressure distribution, and have been used in detection scenarios such as human-machine contact, foot pressure, seat pressure, and clothing pressure. However, simply stacking flexible pressure arrays in vibration-damping material testing fixtures may still introduce effects such as sensor thickness, stiffness, temperature drift, dynamic response bandwidth, and phase delay, and cannot naturally solve the problem of evaluating the dynamic characteristics of vibration-damping glove materials.

[0008] Therefore, a testing system is needed that enables flexible smart sensors to not only display pressure distribution, but also participate in pre-compression closed-loop control, steady-state test window determination, vibration test effectiveness screening, contact-corrected vibration evaluation, dynamic stiffness and loss factor calculation, and to compensate for the sensor's own influence through calibration. Summary of the Invention

[0009] Technical problems to be solved

[0010] The primary technical problem this invention aims to solve is that existing vibration transmissibility testing devices for anti-vibration gloves struggle to identify localized suspension, localized overpressure, and edge slippage, resulting in insufficient test repeatability. For the same glove or the same batch of materials, if the contact area and pressure center differ each time it is installed, the obtained vibration transmissibility curves may vary, making it difficult for testing personnel to determine whether the difference stems from material properties or the contact condition.

[0011] The second technical problem this invention aims to solve is that existing devices mostly use overall gripping force, thrust, and acceleration as detection criteria, which cannot correlate local contact states with the dynamic characteristics of vibration damping materials. The dynamic stiffness and loss factor of materials are closely related to the amount of compression. If the compression states in the middle and edges of the contact surface are different, the overall load alone cannot reflect the true working state of the local material.

[0012] The third technical problem that this invention aims to solve is that when flexible pressure arrays are directly used for vibration testing, the effects of thickness, stiffness, temperature drift, and phase delay may be introduced, and there is a lack of calibration compensation and effectiveness judgment rules applicable to the testing of vibration-damping materials.

[0013] The fourth technical problem that this invention aims to solve is that existing evaluation indicators tend to focus on the overall vibration transmissibility, making it difficult to simultaneously obtain the contact-corrected vibration transmissibility, equivalent dynamic stiffness, loss factor, and anomaly markers of vibration damping materials under pre-compression conditions.

[0014] Technical solution

[0015] To address the aforementioned technical problems, this invention provides a dynamic characteristic testing system for glove vibration damping materials based on flexible intelligent sensors. The system includes a vibration excitation module, a sample clamping module, a biomimetic loading module, a flexible intelligent sensing module, a reference measurement module, and a data acquisition and processing module. The system's main data flow is as follows: first, the contact pressure distribution is acquired during the pre-loading stage to form a steady-state test window; then, vibration excitation and synchronous data acquisition are performed within the steady-state window; finally, dynamic characteristic parameters are calculated by combining the pressure distribution, input and output vibration signals, and load or displacement signals.

[0016] The vibration excitation module is used to generate preset vibration excitations. Vibration excitations can be sinusoidal sweep excitations, one-third octave band center frequency excitations, random vibration excitations, impact excitations, or multi-frequency superposition excitations. For product evaluation, it can cover commonly used testing frequency bands for vibration-damping gloves; for material research and development evaluation, it can also add low-frequency compressive vibration, high-frequency local response, or pre- and post-fatigue comparative tests.

[0017] The sample clamping module is used to secure the vibration-damping material of the glove under test or the entire vibration-damping glove. The vibration-damping material of the glove under test can be a sheet material cut from the palm, fingers, or web area of ​​the glove, or it can be a localized vibration-damping area on the entire glove. The sample clamping module can be a flat clamp, a cylindrical handle clamp, a semi-cylindrical handle clamp, or an interchangeable contour clamp.

[0018] The biomimetic loading module is used to apply a pre-compression load to the vibration damping material of the glove under test. The contact surface of the biomimetic loading module can simulate the curved shape of the palm, fingertips, or web of the hand. The biomimetic loading module preferably includes a replaceable biomimetic contact body and a loading actuator. The material hardness, curvature, and contact area of ​​the replaceable biomimetic contact body are determined according to the glove test area. The loading actuator can be a servo electric actuator, a servo cylinder, a servo hydraulic cylinder, or a linear motor.

[0019] The flexible intelligent sensing module is used to collect contact pressure distribution. It comprises a flexible substrate, a sensing unit array, flexible conductive lines, and a protective layer. The sensing unit array can employ piezoresistive, capacitive, piezoelectric, triboelectric, piezoelectric / piezoresistive composite, or capacitive / piezoresistive composite structures. The flexible substrate can be made of polyimide film, thermoplastic polyurethane film, silicone rubber film, or fabric-reinforced elastic film.

[0020] The reference measurement module is used to acquire acceleration signals from the vibration input and output ends, as well as overall load or displacement signals. The reference measurement module preferably includes an input acceleration sensor, an output acceleration sensor, an overall force sensor, and a displacement sensor. The output acceleration sensor can be set at a single point or at multiple points according to the palm area, finger base area, and thumb area to correspond to the pressure zone weights.

[0021] The data acquisition and processing module is used to complete calibration, synchronous acquisition, contact state determination, vibration control, dynamic characteristic calculation, anomaly handling, and report output. The data acquisition and processing module includes a calibration compensation unit, a synchronous acquisition unit, a contact state determination unit, a frequency domain analysis unit, a contact correction unit, an anomaly handling unit, and a report generation unit.

[0022] Beneficial effects

[0023] Compared with the prior art, the present invention provides a voice recognition method and system for dormitory access control, which has the following beneficial effects:

[0024] 1. This invention acquires contact pressure distribution through a flexible intelligent sensing module, enabling testing personnel to identify local suspension, local overpressure, edge lifting, and test slippage, thereby improving test repeatability.

[0025] 2. The present invention sets a steady-state test window, and the vibration test is only started after the effective contact area, pressure dispersion and contact center drift meet the conditions, so as to avoid misjudgment caused by relying solely on the total gripping force or thrust.

[0026] 3. This invention performs synchronous analysis of contact pressure distribution with input and output acceleration, overall load and displacement signals, and can simultaneously output vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness and loss factor.

[0027] 4. This invention reduces the influence of the flexible intelligent sensing module itself on the test results through zero-point calibration, sensitivity calibration, phase delay compensation, fixture no-load response compensation, and reference material compensation.

[0028] 5. This invention is compatible with sheet-like vibration damping materials, partial vibration damping pads, and whole vibration damping gloves, and is suitable for new material testing, metrology, standardization, and certification evaluation scenarios in testing institutions. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the overall structure of the testing system of the present invention.

[0030] Figure 2 This is a schematic diagram showing the contact relationship between the flexible intelligent sensing module, the biomimetic loading module, and the vibration damping material to be tested in this invention.

[0031] Figure 3This is a schematic diagram of the key algorithm unit of the data acquisition and processing module of the present invention.

[0032] Figure 4 This is a schematic diagram of the steady-state test window determination and abnormal flow diversion process of the present invention.

[0033] Figure 5 This is a schematic diagram of the data security and device implementation architecture of the present invention. Detailed Implementation

[0034] (I) Main System Implementation: The Complete Link from Sample Installation to Parameter Output

[0035] In this embodiment, the testing system preferably binds the sample information, fixture type, biomimetic contact type, and sensor module calibration file. This is because the dynamic responses of the same material under different fixtures or contact bodies are not easily compared directly. By binding this information before the test begins, the system can trace the test boundaries corresponding to each curve in the report.

[0036] The system can also be configured with a pre-test self-check process. Self-check inputs include the vibration excitation module's no-load response, the sensor array zero-point diagram, the accelerometer noise level, the force sensor zero point, and the load driver position feedback. The self-check processing logic sequentially checks the range, noise, communication, synchronization clock, and safety limits; the self-check output allows testing, restricts testing, or prohibits testing. This process can detect obvious equipment anomalies before formal testing.

[0037] Reference Appendix Figure 1 This embodiment provides a system for detecting the dynamic properties of vibration-damping glove materials. The system's input can be a sheet-like vibration-damping material, an entire vibration-damping glove, or a composite layer cut from a local area of ​​the glove. The system's input data includes preset vibration excitation parameters, target pre-compression load, sample size, sample thickness, test area, ambient temperature and humidity, flexible sensor array calibration file, and reference measurement module calibration file. The system's output includes a contact pressure distribution map, steady-state test window determination results, vibration transmissibility curve, contact-corrected vibration transmissibility curve, equivalent dynamic stiffness curve, loss factor curve, anomaly markers, and a test report.

[0038] During the sample installation phase, the sample clamping module first selects a clamp based on the shape of the object to be tested. For sheet materials, a flat clamp is used to hold the periphery of the material, making the center of the material the effective pressure area; for a whole glove, a handle clamp or a contour clamp is used, placing the palm, fingers, or web area of ​​the glove between the biomimetic loading module and the vibration input end. The processing logic of the sample clamping module is to maintain the stability of the test area while avoiding excessive constraint of the effective test area by the clamping boundary. If the clamping position sensor detects that the clamping stroke exceeds the allowable range, the system prompts for reinstallation.

[0039] During the preloading phase, the biomimetic loading module moves towards the vibration damping material under test according to the target pre-compression load. The inputs to the loading actuator are the target load, target displacement, loading speed, and allowable deviation; the processing logic includes low-speed approach, contact recognition, closed-loop loading, and steady-state holding; the outputs are the actual load, compression displacement, and loading position. If the flexible intelligent sensing module shows that the contact area increases slowly while the overall load increases rapidly, the system determines that there may be local hard spots or material folds and suspends loading.

[0040] The flexible intelligent sensing module outputs the contact pressure distribution during the preloading phase. Its input is the electrical signal from the sensing unit array. The processing logic includes zero-point subtraction, sensitivity conversion, bad pixel interpolation, temperature compensation, and pressure threshold judgment. The output is the pressure value, corresponding area, region number, and timestamp for each valid sensing unit. If a sensing unit experiences prolonged saturation, open circuit, short circuit, or abnormal noise, the anomaly handling unit marks that sensing unit as unusable and performs suggestive interpolation based on data from adjacent units or requests a rearrangement of the sensing module.

[0041] The reference measurement module outputs input acceleration, output acceleration, overall load, and dynamic displacement during the vibration test phase. Its inputs are analog or digital signals from various sensors. The processing logic includes anti-aliasing filtering, synchronous sampling, range checking, and channel delay verification. The output is multi-channel data with a unified timestamp. If the input acceleration exceeds the set upper limit, the system stops excitation; if the output acceleration signal is abnormally high under no-load conditions, the system indicates loose clamps or abnormal resonance.

[0042] The data acquisition and processing module is integrated throughout the entire testing process. First, it calculates contact state indicators based on the output of the flexible intelligent sensing module. Once the indicators meet the steady-state test window, it sends a start command to the vibration excitation module. During the vibration test, it simultaneously acquires multi-source signals and performs frequency domain analysis and contact correction on the data. Finally, based on the anomaly handling results, it determines whether the data is valid, partially valid, invalid, requires retesting, or needs manual verification. The technical function of this module is to incorporate the local contact state into the dynamic evaluation of the material, so that the test results reflect not only the vibration response but also the corresponding contact conditions.

[0043] (II) Implementation of Key Algorithm Units: Steady-State Test Window

[0044] In vibration-damping glove material testing, simply controlling the total grip force or total thrust cannot guarantee consistent contact conditions. For example, two samples may have the same total load, but one sample's load may be concentrated in the center of the palm, while the other sample's load may be distributed across the palm and edges; the different local compression amounts result in different dynamic stiffness and vibration transmissibility. Therefore, this invention requires establishing a steady-state test window before vibration testing. The steady-state test window is not an abstract mathematical condition, but rather an engineering criterion used to confirm that the sample is in a repeatable contact state.

[0045] The contact state determination unit first needs to determine the effective contact area. In this technical scenario, some sensing units in a flexible array are in actual contact, while others are only in a noisy or slightly touched state. Including all sensing units in the contact area would exaggerate the contact area; considering only the total load would mask local areas of suspension. Therefore, a contact threshold is used to determine the effective set of sensing units and calculate the effective contact area.

[0046] ;

[0047] In the formula, Indicates the effective contact area; This represents the set of effective sensing units; Indicates the sensor unit number; This represents the effective area of ​​the corresponding sensing unit; This represents the pressure value of the corresponding sensing unit.

[0048] in, This indicates the contact threshold used to distinguish between real contact and noise contact.

[0049] Using this set of factors, the system can filter out the areas in the flexible array that are actually subjected to pressure, avoiding the miscounting of noise points or minor contact points into the effective contact area.

[0050] The technical effect of this formula is to transform "whether there is contact" from subjective observation into a quantifiable indicator, enabling the system to identify local suspension, edge lifting, or insufficient contact.

[0051] It is unfair to compare only the absolute value of the effective contact area for different sample sizes. Therefore, it is necessary to normalize the effective contact area and the nominal contact area to form the effective contact area ratio.

[0052] ;

[0053] In the formula, Indicates the proportion of effective contact area; Indicates the effective contact area; This indicates the nominal contact area or the preset test contact area.

[0054] This ratio is used to unify samples of different sizes to a dimensionless comparison scale, which facilitates the setting of a uniform lower limit for the steady-state window.

[0055] In the formula, the left side represents the effective contact area ratio; the numerator represents the confirmed contact area, and the denominator represents the nominal contact area. This ratio is used to establish a uniform comparison scale between samples of different sizes.

[0056] By using the effective contact area ratio, the system can unify samples of different sizes under comparable criteria, avoiding misjudgment caused by using the same absolute area threshold for small and large samples.

[0057] The next step is to evaluate whether the pressure distribution is too concentrated. The technical scenario is that the total load has reached the target value, but the pressure in a certain local area is too high, while the pressure in other areas is too low. In this case, the local compression and dynamic stiffness of the material will be biased, and the vibration transmissibility curve may be distorted. Therefore, it is necessary to calculate the mean pressure and the pressure dispersion.

[0058] ;

[0059] In the formula, This represents the area-weighted average pressure of the effective contact area; This represents the set of effective sensing units; Indicates the sensor unit number; This indicates the pressure value of the corresponding sensing unit; This represents the effective area of ​​the corresponding sensing unit.

[0060] Using an area-weighted approach can reduce the impact of sensor unit area differences on average pressure judgment, making the average pressure closer to the overall pressure level of the actual contact area.

[0061] ;

[0062] In the formula, Indicates pressure dispersion; Indicates the number of effective sensing units; This represents the set of effective sensing units; Indicates the sensor unit number; This represents the pressure value of the corresponding sensing unit.

[0063] in, This represents the area-weighted average pressure of the effective contact area.

[0064] This dispersion is used to evaluate whether local pressure is excessively concentrated; the greater the dispersion, the more obvious the local overpressure or underpressure.

[0065] The two formulas above are used to obtain the area-weighted average pressure and pressure dispersion of the effective contact area, respectively. The average pressure describes the overall pressure level, while the pressure dispersion describes the degree of local overpressure or underpressure.

[0066] The greater the pressure dispersion, the more pronounced the local overpressure. The system can set an upper limit for pressure dispersion based on material thickness, biomimetic contact shape, and testing procedures. When the pressure dispersion exceeds the upper limit, the data acquisition and processing module will not initiate vibration testing but will instead control the loading actuator to fine-tune its position or prompt the testing personnel to re-flatten the sample.

[0067] During vibration testing, uniform contact during preloading alone is insufficient. The material may experience microslippage due to vibration, or the contact center may shift due to edge wrinkling. Therefore, it is necessary to calculate the contact pressure center and the amount of contact center drift.

[0068] ;

[0069] In the formula, This represents the vector indicating the location of the center of contact pressure. This represents the set of effective sensing units; Indicates the sensor unit number; This indicates the pressure value of the corresponding sensing unit; This represents the effective area of ​​the corresponding sensing unit.

[0070] in, This represents the spatial position vector of the corresponding sensing unit.

[0071] This pressure center is used to characterize the location of the main stress area, providing a benchmark for subsequent slip identification and contact center drift calculation.

[0072] ;

[0073] In the formula, This indicates the amount of contact center drift at the current moment; Indicates the location of the center of contact pressure at the current moment; Indicates the location of the center of contact pressure at the reference time; Indicates the current sampling time; This represents the baseline time after the preload has stabilized.

[0074] This drift amount is used to determine whether the specimen slips, the edges lift, or the clamps loosen during vibration testing.

[0075] The two formulas above are used to determine the contact pressure center and the center drift during the test, respectively. The pressure center reflects the location of the main stress area, while the drift reflects whether the contact boundary moves during the test.

[0076] The technical effect of contact center drift measurement is to identify whether slippage or clamping loosening occurs during the test. If the drift exceeds a preset distance, even if the input and output acceleration signals themselves appear stable, the system will mark that time period or frequency band as invalid to avoid misinterpreting changes in contact position as changes in material properties.

[0077] The steady-state test window is determined by multiple criteria. The reason for using multiple criteria is that a single index cannot fully describe the contact state: the effective contact area can identify insufficient contact, the pressure dispersion can identify local overpressure, the contact center drift can identify slippage, and the overall load deviation can identify uncontrolled loading.

[0078] ;

[0079] In the formula, This indicates the result of the steady-state test window. Indicates the proportion of effective contact area; Indicates the lower limit of the effective contact area ratio; Indicates pressure dispersion; This indicates the upper limit of pressure dispersion.

[0080] in, Indicates the amount of contact center drift; Indicates the maximum allowable contact center drift; This represents the actual overall pre-compression load; Indicates the target pre-compression load; This indicates the allowable load deviation.

[0081] Only when all these conditions are met simultaneously will the system recognize that the sample is in a repeatable contact state and allow the formal vibration test to be started.

[0082] In the formula, the conditions for the window to be established are jointly limited by the area ratio, pressure dispersion, drift, and overall load deviation. Only when multiple conditions are met simultaneously is the system allowed to enter the formal vibration test.

[0083] The technical effect of the aforementioned window conditions is to elevate the test initiation condition from "reaching a total load" to "reaching a repeatable contact state." This process creates a closed-loop relationship between the flexible intelligent sensing module and the biomimetic loading module, which is a key technical feature that distinguishes this invention from simple pressure display devices.

[0084] (III) Implementation of Key Algorithm Units: Vibration Transmission and Contact Correction

[0085] Once the steady-state test window is established, the vibration excitation module outputs a preset excitation. The technical scenario involves a material under test that is already in a repeatable contact state, but the pressure in different areas may still exhibit reasonable differences, such as higher pressure in the palm area and lower pressure at the edges. If only a single output acceleration signal is used, the overall response is obtained; however, if the system is configured with multiple output acceleration sensors, the contact-corrected vibration transmissibility can be formed by combining regional pressure weights.

[0086] To analyze vibration transmission, the data acquisition and processing module first performs frequency domain conversion on the input and output acceleration signals. The purpose of frequency domain conversion is to decompose the time-domain vibration signal into different frequencies, enabling the system to determine the attenuation capability of the vibration damping material in different frequency bands.

[0087] ;

[0088] In the formula, Represents the frequency response function; Indicates frequency; This represents the output acceleration spectrum; This represents the input acceleration spectrum.

[0089] This frequency response function is used to describe the transmission relationship of vibration input to the vibration damping material at different frequencies.

[0090] In the formula, the left side represents the frequency response relationship between the input and output terminals; the numerator represents the acceleration spectrum at the output terminal, and the denominator represents the acceleration spectrum at the input terminal. This relationship is used to obtain the transmission characteristics of materials to vibrations of different frequencies.

[0091] A lower vibration transmissibility generally indicates a stronger ability of the material to attenuate vibrations at that frequency. However, this indicator is only comparable under stable and repeatable contact conditions. Therefore, this invention does not output the vibration transmissibility alone, but instead outputs the corresponding steady-state window determination result and contact pressure distribution map simultaneously.

[0092] ;

[0093] In the formula, Indicates vibration transmissibility; Represents the frequency response function; Indicates frequency.

[0094] This transmissivity is used to evaluate a material's ability to attenuate vibrations at a corresponding frequency; the lower the value, the more significant the attenuation effect is usually.

[0095] In the formula, the left side represents the vibration transmissibility, and the right side represents the amplitude of the frequency response. This parameter is used for product evaluation, but it must be output simultaneously with contact status information.

[0096] When the system is configured with multiple output acceleration sensors, and these sensors correspond to contact areas such as the palm area, finger base area, and tiger's mouth area, the pressure weight of each area can be determined based on the average pressure and contact area of ​​each area. The technical purpose of this weighting is to allow the main load-bearing areas to have a greater impact on the comprehensive evaluation results, while avoiding the excessive influence of small contact areas at the edges on the overall results.

[0097] ;

[0098] In the formula, This represents the pressure weight of the corresponding contact area; This represents the average pressure in the corresponding contact area; This represents the effective area of ​​the corresponding contact region; Indicates the total number of contact areas; Indicates the summation sequence number of the region.

[0099] in, This represents the average pressure in the summation region; Let represent the effective area of ​​the summing region.

[0100] This weighting ensures that the main carrying area has a more reasonable contribution ratio in the comprehensive evaluation, avoiding the excessive impact of small-area contact at the edge on the overall result.

[0101] ;

[0102] In the formula, Indicates the contact-corrected vibration transmissibility; Indicates frequency; Indicates the total number of contact areas; Indicates the contact area number; This represents the pressure weight of the corresponding contact area.

[0103] in, This represents the regional vibration transmission rate of the corresponding contact area.

[0104] This modified transmission rate is used to combine the regional pressure contribution with the regional vibration response to obtain a comprehensive transmission result that is closer to the actual grip contact state.

[0105] The two formulas above are used to obtain the regional pressure weight and the contact-corrected vibration transmissibility, respectively. The regional weight allows the main load-bearing area to have a corresponding impact on the comprehensive evaluation results, and the contact correction results can more closely approximate the material performance under actual grip conditions.

[0106] The technical effect of contact-corrected vibration transmissibility is that, under multi-point output measurement conditions, the regional pressure distribution and regional vibration response are combined to make the detection results closer to the comprehensive transmission characteristics of the vibration damping material under actual grip conditions; under single-point output measurement conditions, the system does not forcibly perform partition weighting, but ensures that the contact state corresponding to the transmissibility is traceable through steady-state windows and anomaly markers.

[0107] (iv) Implementation of key algorithm units: equivalent dynamic stiffness and loss factor

[0108] The engineering evaluation of vibration damping materials cannot solely rely on vibration transmissibility. For materials such as gels, foamed rubbers, and multilayer fabric composites, the dynamic stiffness and energy dissipation capacity under pre-compression are equally important. Dynamic stiffness reflects the material's ability to resist deformation under vibration loading, while the loss factor reflects the material's ability to convert mechanical energy into heat or internal energy loss.

[0109] The technical scenario is as follows: within a steady-state window, a flexible intelligent sensing module or a generalized force sensor can provide dynamic load information, while a reference measurement module can provide output displacement information. It is necessary to convert the local pressure distribution into an equivalent dynamic force, and then combine it with the displacement spectrum.

[0110] ;

[0111] In the formula, Represents the equivalent dynamic force spectrum; Indicates frequency; This represents the set of effective sensing units; Indicates the sensor unit number; This represents the dynamic pressure spectrum of the corresponding sensing unit.

[0112] in, This represents the effective area of ​​the corresponding sensing unit.

[0113] Through this equivalent dynamic force, the system can convert the distributed pressure response into an overall equivalent load for dynamic stiffness calculation.

[0114] ;

[0115] In the formula, Indicates the output displacement spectrum; This represents the output acceleration spectrum; Represents pi; Indicates frequency.

[0116] This conversion is used to obtain the frequency domain displacement based on the output acceleration when the displacement sensor does not directly output the target frequency band displacement.

[0117] ;

[0118] In the formula, Represents complex dynamic stiffness; Represents the equivalent dynamic force spectrum; Indicates the output displacement spectrum; Indicates frequency.

[0119] Complex dynamic stiffness encompasses both energy storage and energy dissipation responses, and can characterize the viscoelastic properties of vibration damping materials more fully than a single transferability.

[0120] ;

[0121] In the formula, Indicates the loss factor; Indicates taking the imaginary part; Indicates taking the real part; Represents complex dynamic stiffness; Indicates frequency.

[0122] The loss factor is used to characterize the energy dissipation capacity of a material; under the same contact conditions, this value can be used to compare the damping effect of different materials or the same material before and after aging.

[0123] The above formulas are used to calculate the equivalent dynamic force, output displacement spectrum, complex dynamic stiffness, and loss factor, respectively. The equivalent dynamic force is derived from the contact pressure distribution or the overall force sensor; the displacement spectrum is derived from the output acceleration conversion; the complex dynamic stiffness reflects the material's energy storage and dissipation response; and the loss factor reflects its energy dissipation capability.

[0124] When the dynamic response bandwidth of the flexible intelligent sensing module is insufficient in the target high-frequency band, the equivalent dynamic force can be determined by the dynamic load spectrum provided by the overall force sensor, while the flexible intelligent sensing module provides static or quasi-static pressure weights to determine the contact state and zonal contribution. This process avoids over-reliance on the high-frequency output of the flexible array while preserving the constraint effect of pressure distribution on the material state.

[0125] By using complex dynamic stiffness and loss factor, inspectors can not only determine whether vibration damping materials reduce vibration transmission, but also judge whether the changes are due to softening, hardening, or increased energy dissipation. These results have practical significance for material formulation design, structural layering optimization, and batch quality control.

[0126] (v) Implementation method of calibration compensation unit

[0127] When flexible intelligent sensing modules are used for contact state detection, the sensor's own errors must be considered. The inputs to the calibration and compensation unit include sensor zero-point data, pressure calibration curves, temperature sensor output, channel phase difference, fixture no-load response, and reference material test results. The processing logic includes zero-point subtraction, sensitivity curve interpolation, temperature drift correction, phase delay compensation, fixture response subtraction, and reference material consistency check. The outputs are compensated pressure, load, displacement, and acceleration data.

[0128] Zero-point calibration is used to handle the initial drift of the flexible array in the unloaded state. Sensitivity calibration is used to establish the mapping relationship between pressure values ​​and electrical signals. Temperature compensation is used to handle the offset caused by temperature changes in the resistance, capacitance, or piezoelectric output of the sensing material. Phase delay compensation is used to handle the time difference between different measurement channels during dynamic testing. Fixture no-load response compensation is used to eliminate the influence of the vibration table, fixture, and biomimetic loading module's own responses on the material testing results.

[0129] In one implementation, the system first runs an unloaded excitation without a sample, recording the responses of the fixture and the sensing module itself. Then, a reference elastic material of known hardness and thickness is placed for benchmark testing. If the benchmark test results exceed the allowable deviation, the system prompts for recalibration or replacement of the flexible intelligent sensing module. This process improves the consistency of the testing facility during long-term use.

[0130] (vi) Implementation of anomaly handling and false alarm suppression

[0131] Reference Appendix Figure 4 The anomaly handling unit is used to identify abnormal scenarios during preloading and vibration testing. Inputs to the anomaly handling unit include pressure distribution, contact state indicators, acceleration signals, overall load signals, displacement signals, fixture status signals, and excitation control signals. The processing logic includes threshold judgment, temporal continuity judgment, spatial neighborhood judgment, and multi-channel consistency judgment. Outputs include anomaly type, anomaly occurrence time, anomaly frequency band, data validity markers, and processing suggestions.

[0132] Typical scenarios for sensor unit saturation include localized hard seams, gel block protrusions, or material folds pressing against the sensor array. If a single sensor unit briefly exceeds its measurement range, but the pressure of surrounding units is normal, the system can mark it as a local anomaly and prompt for verification; if a continuous area becomes saturated, loading is paused and a reinstallation prompt is given.

[0133] A typical scenario for sensor unit breakage is poor contact in flexible conductive lines. If a sensor unit outputs a zero value for an extended period while adjacent units are continuously under pressure, the system identifies it as a breakage rather than a true suspension. If multiple units in a certain area simultaneously output below a threshold, it is identified as a local suspension. By using spatial neighborhood analysis, the probability of falsely reporting sensor faults as material contact anomalies can be reduced.

[0134] Typical scenarios for contact center drift include localized glove slippage, sample edge lifting, or clamp loosening during vibration. The system doesn't just look at instantaneous drift; it determines whether the drift continues for a preset time. This avoids false alarms caused by single noise spikes. If the drift is accompanied by sudden changes in output acceleration and overall load fluctuations, the system marks that period as invalid and recommends a retest.

[0135] Typical scenarios for excitation exceeding limits include vibration table output exceeding the set amplitude or fixture resonance causing abnormal amplification of the input acceleration. The system identifies excitation exceeding limits through closed-loop monitoring of the input acceleration, stops vibration when necessary, and saves anomaly logs to protect the sample, fixture, and sensor.

[0136] (vii) Data security and device implementation methods

[0137] Reference Appendix Figure 5 Data security and device implementation are not the primary sources of inventiveness in this invention, but they have practical value for metrology, certification, and verification scenarios in testing institutions. The system can use an edge controller, industrial computer, or embedded controller as the hardware carrier for the data acquisition and processing module. The edge controller is used to complete real-time acquisition, steady-state window determination, and abnormal shutdown, while the industrial computer is used to complete frequency domain analysis, report generation, and data archiving.

[0138] The data security unit's inputs include raw acquired data, calibration files, test configurations, operator identity, device status, and report version. Processing logic includes permission verification, read-only saving of raw data, calibration file version binding, report hash digest generation, exception log writing, and audit logging. Outputs are traceable data packets and test reports.

[0139] For testing organizations, dynamic characteristic test results may be used for certification evaluation or dispute review; therefore, it is not sufficient to simply save the final curve. The system preferably saves the original signal, contact pressure distribution, steady-state window determination results, anomaly markers, and report generation parameters simultaneously. If subsequent updates to calibration documents or changes to test procedures are discovered, the original data can be used for verification.

[0140] In the device implementation, the flexible intelligent sensing module and the reference measurement module are synchronized using a unified clock or hardware trigger. If networked data acquisition is used, the system records the timestamps of each acquisition node and performs clock drift correction. For high-frequency vibration testing, it is preferable to complete the critical control closed loop within a local edge controller to avoid network latency affecting shutdown protection and synchronization accuracy.

[0141] Example 1: Testing of Sheet-like Palm Vibration Damping Material

[0142] This embodiment is used to test sheet-like vibration-damping material cut from the palm area of ​​a vibration-damping glove. The test material is a multi-layered composite structure, including a fabric layer, a foamed damping layer, and a surface abrasion-resistant layer. The sample is mounted in a flat fixture, which only fixes the periphery of the sample, with the center of the sample serving as the effective testing area. The biomimetic loading module uses a palm contact body, the contact surface of which is an arc-shaped elastic surface with a hardness close to that of the soft tissue of the human palm.

[0143] Before the test begins, the system reads the sample's thickness, area, and target pre-compression load. After the flexible intelligent sensing module completes zero-point calibration, the biomimetic loading module applies pressure at a low speed. The data acquisition and processing module displays the pressure distribution in real time and calculates the effective contact area ratio, pressure dispersion, and contact center position. If there is localized high pressure in the center of the sample while edge contact is insufficient, the system prompts the system to re-flatten the sample or reduce the initial loading speed.

[0144] Once the steady-state test window is established, the vibration excitation module outputs a frequency sweep excitation. The reference measurement module synchronously acquires the input acceleration, output acceleration, overall load, and displacement signals. The data acquisition and processing module outputs the vibration transmissibility, equivalent dynamic stiffness, and loss factor. If the contact center suddenly shifts in a certain frequency band, the system marks that frequency band as a contact anomaly and it will not be used for the final pass / fail determination.

[0145] For sheet materials with uneven thickness, uneven cell size, or uneven distribution of local gel blocks, the system can first ensure that the contact state is repeatable before conducting dynamic testing, thus avoiding misjudgment caused by differences in material placement.

[0146] Example 2: Palm test of the whole shock-absorbing glove

[0147] This embodiment is used for testing the palm area of ​​the entire anti-vibration glove. The sample clamping module uses a handle clamp, and the entire anti-vibration glove is fitted onto the handle clamp, with the palm anti-vibration area facing the biomimetic loading module. The biomimetic loading module uses a combination of palm and forefinger contact body, which can cover the palm area, finger base area, and forefinger area of ​​the glove.

[0148] The flexible intelligent sensing module is divided into three zones: palm, base of fingers, and web of the hand. During the preloading phase, the system calculates the average pressure and effective contact area for each zone. If the pressure in the web of the hand remains low, the system indicates that the area is not making sufficient contact; if the pressure in the base of the fingers suddenly increases and is accompanied by a shift in the contact center, the system determines that there may be wrinkles in the glove.

[0149] During the vibration testing phase, if multiple output acceleration sensors are configured, the system calculates the contact-corrected vibration transmissibility based on the pressure weights of different areas. If only a single-point output acceleration sensor is configured, the system outputs the overall vibration transmissibility and includes the pressure status of each zone as an appendix to the report.

[0150] The technical effect of this embodiment is that it can avoid the differences in local anti-vibration structure of the entire glove being masked by the overall transmission rate, so that the test results not only reflect the overall effect of the glove, but also reflect the contact status of key areas such as the palm, the web of the thumb and the base of the fingers.

[0151] Example 3: Testing of finger vibration damping materials and narrow strip materials

[0152] This embodiment is used to test the fingertip area or finger damping pad of a vibration-damping glove. The sample clamping module uses a small-sized cylindrical or semi-cylindrical clamp to simulate a tool handle. The biomimetic loading module uses a fingertip contact body with a narrow curved contact surface. The flexible intelligent sensing module uses a strip array arranged along the fingertip contact direction.

[0153] The input to the strip array is local pressure signals along the length and width of the fingertip. The system's processing logic identifies the pressure distribution in the central and lateral edge regions of the fingertip, determines whether the sample is centered, whether there is edge warping, and whether lateral slippage occurs during vibration. The output results include strip pressure maps, edge contact ratios, center drift, and dynamic characteristic parameters of the narrow strip material.

[0154] The abnormal scenarios in this embodiment include: narrow strip material deviating from the center of the fingertip, material edges curling, micro-slippage between the material and the fixture, and local discontinuities in the strip sensor array. The system distinguishes between genuine contact anomalies and sensor malfunctions by judging spatial neighborhood and temporal continuity, thereby reducing false alarms.

[0155] Example 4: Comparison Tests Before and After Aging, Temperature and Humidity, and Fatigue

[0156] This embodiment adds an environmental conditioning module and a cyclic compression module to the main system. The environmental conditioning module is used to regulate the temperature and humidity of the test space, and the cyclic compression module is used to subject the sample to a predetermined number of compression fatigue treatments. The material under test can be tested before aging, after low-temperature treatment, after high-temperature and high-humidity treatment, and after cyclic compression.

[0157] The inputs for this embodiment include ambient temperature, relative humidity, processing time, number of compression cycles, and target pre-compression load. The processing logic first performs environmental conditioning or fatigue treatment, and then completes steady-state window determination and dynamic testing according to the main system flow. The output results include changes in vibration transmissibility, dynamic stiffness, and loss factor under different states.

[0158] To quantify performance retention, the system can calculate a relative attenuation index. The technical scenario involves materials that, after aging, may experience increased vibration transmissibility, increased dynamic stiffness, or decreased loss factor, requiring a unified index to compare performance changes before and after processing.

[0159] The technical effect of this indicator is to convert the vibration damping effect of materials under different treatment conditions into comparable percentage results, which makes it easier for testing agencies to evaluate the performance retention rate of materials before and after aging.

[0160] ;

[0161] In the formula, Indicates performance retention metrics; Indicates the vibration transmissibility after treatment or aging; This represents the vibration transmissibility in the initial state.

[0162] This indicator converts the change in vibration damping effect before and after treatment into a percentage, making it easy to evaluate the impact of temperature, humidity, aging, or fatigue treatment on the vibration damping performance of materials.

[0163] In the formula, the left side represents the performance retention index; the two transmissibility terms represent the vibration transmissibility after treatment and in the initial state, respectively. This index is used to compare performance changes before and after aging, temperature and humidity treatment, or fatigue treatment.

[0164] Example 5: False Alarm Suppression and Retest Strategy

[0165] This embodiment focuses on false alarm suppression. In actual testing, the system may encounter short-term noise spikes, single sensor unit defects, slight operator touches, transient impacts from the vibration table, or short-term clamp rebound. Immediately classifying these transient anomalies as test failures would reduce testing efficiency. Therefore, the anomaly handling unit employs a comprehensive judgment based on temporal continuity, spatial neighborhood, and multi-channel consistency.

[0166] In one implementation, the system sets an anomaly duration threshold. Data is only marked as invalid when the pressure dispersion, contact center drift, or load deviation continuously exceeds the threshold for several sampling windows. If the anomaly occurs at only one sampling point or for a very short time, the system first marks it as a suspicious segment, and then determines whether it needs to be discarded based on the acceleration and load signals.

[0167] In another implementation, the system incorporates a spatial neighborhood assessment. If one sensor unit outputs an abnormal signal while multiple adjacent sensor units are functioning normally, the system prioritizes classifying it as a sensor unit malfunction or noise. If multiple adjacent sensor units simultaneously experience a sudden pressure change, it is determined to be a genuine local contact change. This logic reduces the probability of falsely reporting sensor defects as localized material overpressure.

[0168] ;

[0169] In the formula, This represents the stability evaluation quantity; Indicates the weighting coefficient of the area ratio term; This represents the weighting coefficient for the pressure dispersion term; This represents the weighting coefficient of the drift term; This represents the weighting coefficient of the abnormal energy term.

[0170] in, Indicates the proportion of effective contact area; Indicates pressure dispersion; Indicates the amount of contact center drift; This indicates an abnormal energy term.

[0171] This evaluation metric serves as an auxiliary screening indicator for the anomaly handling unit, integrating short-term area fluctuations, local overpressure, center drift, and anomalous energy into a comparable stability trend.

[0172] In the formula, the stability evaluation quantity is composed of the contact area ratio, pressure dispersion, drift amount, and abnormal energy term. The weighting coefficients can be set according to the testing procedures and are used to help identify short-term noise, local slippage, and excitation anomalies.

[0173] For scenarios requiring automatic retesting, the system records the original anomaly fragment and returns to the preloading stage. If the steady-state window returns to normal after retesting, the system retains the initial anomaly and successful retest records when generating the report. If the retest still fails, the report outputs an invalid conclusion and suggests possible causes, such as sample wrinkles, uneven material thickness, damaged sensing module, or incompatible fixture.

[0174] This indicator need not be used as the sole criterion, but can serve as an auxiliary screening measure for the anomaly handling unit. Its technical effect is to integrate short-term area fluctuations and center drift into a stable trend, reducing false alarms caused by single-point noise.

[0175] Compared to existing glove palm vibration transmissibility testing devices, this invention does not simply add a flexible pressure sensor, but rather addresses the technical problem in the testing of anti-vibration glove materials that "local contact states are invisible, uncontrollable, and cannot be used for result correction under the same total grip force," forming a synergistic combination of technologies.

[0176] Specifically, the biomimetic loading module provides a contact boundary that closely resembles the grip of an actual hand; the flexible intelligent sensing module acquires the contact pressure distribution; the data acquisition and processing module establishes a steady-state test window based on the effective contact area, pressure dispersion, and contact center drift; the vibration excitation module and the reference measurement module perform vibration tests within the steady-state test window; and the dynamic characteristic calculation unit combines the pressure distribution, acceleration, load, and displacement signals to output the vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness, and loss factor.

[0177] There is a clear functional relationship among the above-mentioned technical features: the flexible pressure array is not used alone to display pressure, but to control preloading, screen valid test windows, identify slippage, and correct dynamic characteristic evaluation; the biomimetic loading module is not a regular indenter, but is used to form a contact boundary consistent with the glove's usage scenario; the reference measurement module is not used alone to measure vibration, but is used in conjunction with the contact pressure distribution for calculating the material's dynamic characteristics. Therefore, this invention can improve the repeatability, interpretability, and engineering applicability of vibration-damping glove material testing.

[0178] This invention can be used by testing institutions, glove manufacturers, vibration damping material R&D institutions, and certification and evaluation agencies. For testing institutions, this invention can save the sample installation state, contact pressure state, and vibration response results together, facilitating verification within the same batch and comparison across batches. For material R&D institutions, this invention can compare the dynamic stiffness and loss factor of different formulations, thicknesses, and laminated structures under the same pre-compression conditions. For manufacturing enterprises, this invention can serve as the equipment basis for incoming material inspection, in-process sampling, and finished product consistency evaluation.

[0179] The report generation unit preferentially outputs two types of results: one is a simplified result for product evaluation, including test conditions, steady-state window determination, vibration transmissibility, and conformity statement; the other is a complete result for R&D and dispute review, including raw data index, calibration document version, pressure distribution sequence, abnormal segments, contact correction parameters, dynamic stiffness, and loss factor. This hierarchical reporting approach balances certification efficiency and review adequacy.

[0180] Without departing from the inventive concept, the flexible intelligent sensing module can employ piezoresistive, capacitive, piezoelectric, triboelectric, fiber optic, or multi-type combined sensing structures; the biomimetic loading module can employ a palm contact body, fingertip contact body, forefinger contact body, or whole hand contact body. Different contact bodies can be replaced via a quick interface, and the system reads the contact body type and calibration file; the vibration excitation module can employ a single-axis vibration table, multi-axis vibration table, electric vibrator, pneumatic vibrator, or impact excitation device; the sample clamping module can be adapted to sheet materials, whole gloves, palm anti-vibration pads, finger anti-vibration pads, or forefinger anti-vibration pads; the data acquisition and processing module can employ an industrial computer, embedded controller, data acquisition card, edge computing terminal, or cloud verification platform. Real-time shutdown and synchronous acquisition are preferably completed locally, while report archiving and cross-batch analysis can be completed on the server side.

Claims

1. A dynamic property testing system for glove vibration damping materials based on flexible intelligent sensors, characterized in that, It includes a vibration excitation module, a sample clamping module, a biomimetic loading module, a flexible intelligent sensing module, a reference measurement module, and a data acquisition and processing module; The vibration excitation module is used to apply a preset vibration excitation to the vibration damping material of the glove under test. The sample clamping module is used to fix the vibration damping material of the glove under test or the entire vibration damping glove, so that the vibration damping material of the glove under test is located between the vibration input end and the bionic loading module. The biomimetic loading module is used to apply a pre-compression load to the vibration damping material of the glove under test and form a contact boundary that simulates the palm, fingers or the web of the hand. The flexible intelligent sensing module is set on the contact side of the biomimetic loading module, the contact side of the vibration damping material of the glove under test, or between the two, and is used to collect the contact pressure distribution of the vibration damping material of the glove under test during the pre-loading stage and the vibration loading stage. The reference measurement module is used to collect acceleration signals from the vibration input end and the vibration output end, and to collect the overall load signal or displacement signal acting on the vibration damping material of the glove under test. The data acquisition and processing module is connected to the vibration excitation module, the biomimetic loading module, the flexible intelligent sensing module, and the reference measurement module, and is configured to: calculate the effective contact area, pressure dispersion, and contact center drift based on the contact pressure distribution; control the vibration excitation module to perform vibration testing when the effective contact area, pressure dispersion, and contact center drift meet the preset steady-state test window; synchronously acquire the contact pressure distribution, input acceleration signal, output acceleration signal, and overall load signal or displacement signal during the vibration test; and calculate the dynamic characteristic parameters of the vibration-damping material of the glove under test based on the acquisition results. The dynamic characteristic parameters include at least vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness, and loss factor.

2. The dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The flexible intelligent sensing module includes a flexible substrate, a sensing unit array, flexible conductive lines, and a protective layer; the sensing unit array is a piezoresistive, capacitive, piezoelectric, triboelectric, or a combination thereof array. The surface hardness of the protective layer is lower than that of the rigid clamping surface in the sample clamping module, and the equivalent thickness of the flexible intelligent sensing module in the test direction is less than one-tenth of the free thickness of the vibration damping material of the glove under test.

3. The dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The biomimetic loading module includes a replaceable biomimetic contact body and a loading actuator. The replaceable biomimetic contact body includes at least one of a palm contact body, a fingertip contact body, a tiger's mouth contact body, or a combination of contact bodies. The loading actuator adjusts the pre-compression load, loading position, or loading posture according to the contact pressure distribution fed back by the flexible intelligent sensing module.

4. The dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The data acquisition and processing module includes a contact state determination unit, which is used to calculate the effective contact area ratio, pressure dispersion, and contact center drift. When the effective contact area ratio is not lower than a preset lower limit, the pressure dispersion is not higher than a preset upper limit, and the contact center drift does not exceed a preset distance, the vibration damping material of the glove under test is determined to have entered the steady-state test window.

5. The dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The data acquisition and processing module includes a calibration and compensation unit, which performs zero-point calibration, sensitivity calibration, temperature compensation, phase delay compensation, and fixture no-load response compensation. Based on the no-load test results when the anti-vibration material of the glove under test is not placed and the benchmark test results when the reference elastic material is placed, the outputs of the flexible intelligent sensing module and the reference measurement module are corrected.

6. The dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The reference measurement module includes an input acceleration sensor located at the vibration input end, an output acceleration sensor located at the vibration output end, a force sensor for measuring the overall pre-compression load, and a displacement sensor for measuring dynamic displacement; wherein, the output acceleration sensor is located at the mounting point of the bionic loading module, the replaceable bionic contact body, or rigidly connected to the replaceable bionic contact body.

7. The dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The data acquisition and processing module includes a frequency domain analysis unit, which is used to perform synchronous frequency domain analysis on the input acceleration signal, output acceleration signal, overall load signal, displacement signal and contact pressure distribution, and output vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness and loss factor according to different frequency bands.

8. The dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The contact-corrected vibration transmissibility is determined based on the pressure weight of different contact areas and the output vibration response corresponding to different contact areas. When the output vibration response is provided by only one output acceleration sensor, the data acquisition and processing module marks the vibration transmissibility as valid, eliminates anomalies, or prompts for retesting based on the effective contact area, pressure dispersion, and contact center drift.

9. A dynamic characteristic testing system for glove vibration damping materials based on a flexible intelligent sensor according to claim 1, characterized in that, The data acquisition and processing module includes an anomaly handling unit and a report generation unit. The anomaly handling unit is used to identify sensor unit saturation, sensor unit breakpoint, local overpressure, local suspension, contact center drift, fixture loosening, and excitation exceeding limits. The report generation unit is used to output a test report containing test frequency, pre-compression load, contact pressure distribution map, steady-state test window judgment result, anomaly marker, vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness, and loss factor.

10. A method for testing the dynamic properties of glove vibration-damping materials using the testing system described in any one of claims 1 to 9, characterized in that, Includes the following steps: Install the vibration damping material or the entire vibration damping glove under test; control the bionic loading module to apply a pre-compression load to the vibration damping material of the glove under test; The contact pressure distribution is collected by a flexible intelligent sensing module, and the effective contact area, pressure dispersion, and contact center drift are calculated based on the contact pressure distribution. When the effective contact area, pressure dispersion, and contact center drift meet the preset steady-state test window, the vibration excitation module is activated to perform vibration testing. The contact pressure distribution, input acceleration signal, output acceleration signal, and overall load signal or displacement signal are collected simultaneously. The vibration transmissibility, contact-corrected vibration transmissibility, equivalent dynamic stiffness, and loss factor are calculated based on the collected signals, and a test report is generated.

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