Intelligent material sound insulation quantity testing device and method

Abstract

The application discloses a kind of intelligent material sound insulation quantity testing device and method, the intelligent material sound insulation quantity testing device and method include using sound source in reverberation chamber to the sound intensity probe in sound absorption chamber occurs sound source, wherein sound source in reverberation chamber forms the diffusion field that energy density is uniform everywhere, in each propagation direction makes random distribution;Using sound intensity probe receives the sound of sound source through the sound material sample to be tested;According to the sound insulation volume of reverberation chamber sound pressure level and sound intensity probe received sound pressure level, the sound material sample to be tested is calculated.This application provides a kind of intelligent material sound insulation quantity testing device and method has the automatic test of using intelligent testing device, can efficiently carry out test and test according to requirement.

Description

Technical Field

[0001] The present invention belongs to the field of acoustic testing technology, and more specifically, relates to a device and method for testing the sound insulation of smart materials. Background Art

[0002] During vehicle performance development, acoustic packaging is required to optimize NVH performance. NVH performance is a key indicator in vehicle performance development, focusing on the vehicle's noise, vibration, and harshness, which directly affects driving comfort and overall quality.

[0003] Acoustic materials mainly include two properties, sound absorption and sound insulation.

[0004] To test sound insulation performance, the test material must be placed on the wall between the reverberation chamber and the anechoic chamber. A sound source is placed inside the reverberation chamber, generating a diffuse field with uniform energy density and a random distribution in all propagation directions. A sound intensity probe is then placed on one side of the anechoic chamber to measure the sound after it passes through the material. Finally, the material's sound insulation is calculated using a formula. Current testing methods use a handheld sound intensity probe.

[0005] The inventors believe that the inability to accurately guarantee the test distance and movement speed leads to inaccurate test results. Furthermore, it is impossible to effectively detect whether the sample is vertical, whether the seal around the sample meets the test requirements, or whether the sample itself has defects. The present invention uses an intelligent testing device to automatically test, which can efficiently perform inspection and testing according to the requirements. Summary of the Invention

[0006] One purpose of the present invention is to use an intelligent testing device to perform automatic testing, so as to efficiently perform test detection and testing according to requirements.

[0007] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a device and method for testing the sound insulation performance of smart materials.

[0008] To achieve the aforementioned object of the invention, the technical solution adopted by the present invention includes utilizing a sound source in a reverberation chamber to generate sound to a sound intensity probe disposed in an anechoic chamber, wherein a diffusion field having uniform energy density everywhere in the reverberation chamber and randomly distributed in all propagation directions is formed;

[0009] The sound intensity probe receives the sound of the sound source passing through the acoustic material sample to be tested; the sound insulation volume of the acoustic material sample to be tested is calculated based on the sound pressure level in the reverberation chamber and the sound pressure level received by the sound intensity probe; wherein, the sound insulation volume of the acoustic material sample to be tested is calculated using the following formula;

[0010] ;

[0011] R1 is the sound insulation of the material; L p1 is the average sound pressure level in the reverberation room; L In is the average normal sound intensity level of the measurement surface in the anechoic chamber; S m is the total area of ​​the measurement surface; S is the area of ​​the acoustic material sample to be tested in the test;

[0012] The sound intensity probe test results are L p1 and L In ;L P1In = L p1 -L In , if a region L P1In < 6dB, uploaded to the processor to generate the acoustic leakage cloud map.

[0013] This solution differs from the conventional sound pressure method (GB / T 19889.3) in the existing technology, which relies solely on the indirect measurement of the sound pressure level in the reverberation chamber to infer the sound insulation value. This method achieves a direct correlation between the incident sound energy in the reverberation chamber and the transmitted sound intensity in the anechoic chamber through the coordinated measurement of the reverberation chamber diffusion field and the anechoic chamber sound intensity probe. The isotropic diffusion field formed by the reverberation chamber (with uniform energy density and irregular propagation direction) ensures all-round coverage of the incident sound wave, while the normal sound intensity level measurement by the anechoic chamber side sound intensity probe avoids the low-frequency errors caused by reflected sound interference in the conventional sound pressure method.

[0014] This dual-chamber joint testing architecture retains the advantages of the sound pressure method for large sample testing while also having the ability to analyze local transmission characteristics of the sound intensity method, solving the limitations of traditional methods in the overall evaluation of composite structural materials (such as those containing holes or delamination).

[0015] Although the existing sound intensity method standard (GB / T 31004.1) supports local sound insulation testing, it does not consider the dynamic influence of the ratio of the total measurement surface area (Sm) to the actual area of ​​the test piece (S) on the sound energy distribution; the sound insulation calculation formula introduced in this method is By correcting the area ratio, the algorithm effectively compensates for systematic errors introduced by acoustic diffraction at the edges of large specimens and measurement surface coverage deviations. This algorithm avoids the defects that lead to low-frequency resonance misalignment and overcomes the interference of acoustic field boundary conditions when testing small specimens using the reverberation chamber-anechoic chamber method.

[0016] By scanning the sound intensity probe at a constant speed (0.1-0.3m / s) and controlling the near field distance of 3-4cm, L P1In The detection data has spatial continuity; combined with the coordinate mapping algorithm of the acoustic leakage cloud map (such as the detection point L P1In=4.2dB corresponds to X=0.75m, Y=0.3m), which can improve the leakage area positioning accuracy from the decimeter level of the traditional sound pressure method to the centimeter level; the scheme that triggers the alarm only by the sound pressure difference threshold, this scheme uses cloud map gradient coloring technology to intuitively display the leakage intensity distribution, guiding operators to prioritize the high leakage intensity areas (such as L P1In ≤4dB mark area), which improves the efficiency of sealing repair; upgrades the "threshold alarm-manual investigation" mode of traditional sound insulation testing to a closed-loop control of "spatial positioning-cause analysis-directional repair", solving the overall sound insulation distortion caused by local defects in large-area composite materials.

[0017] Optionally, the distance between the sound intensity probe and the acoustic material sample to be tested is D, the value range of D is 3-4 cm, and the sound intensity probe is scanned at a uniform speed of 0.1-0.3 m / s.

[0018] This solution combines a uniform scanning speed range (0.1-0.3 m / s) with probe spacing (3-4 cm), and uses robotic arm motion control to dynamically match the intensity gradient to the sampling frequency. For example, at a scanning speed of 0.2 m / s, each centimeter of probe displacement corresponds to a sampling interval of approximately 50 ms, which matches the typical response time of an intensity probe (20-100 ms). This prevents acoustic field aliasing caused by insufficient sampling rate. Compared to the uneven speed and random spacing of traditional manual scanning, this approach reduces repeatability errors.

[0019] Through this solution: by scanning the sound intensity probe at a constant speed (0.1-0.3m / s) and controlling the near field distance of 3-4cm, ensure L P1In The detection data has spatial continuity; combined with the coordinate mapping algorithm of the acoustic leakage cloud map (such as the detection point L P1In =4.2dB corresponds to X=0.75m, Y=0.3m), which can improve the leakage area positioning accuracy from the decimeter level of the traditional sound pressure method to the centimeter level; the scheme that triggers the alarm only by the sound pressure difference threshold, this scheme uses cloud map gradient coloring technology to intuitively display the leakage intensity distribution, guiding operators to prioritize the high leakage intensity areas (such as L P1In ≤4dB mark area), which improves the efficiency of sealing repair; upgrades the "threshold alarm-manual investigation" mode of traditional sound insulation testing to a closed-loop control of "spatial positioning-cause analysis-directional repair", solving the overall sound insulation distortion caused by local defects in large-area composite materials.

[0020] Optionally, a camera is provided on one side of the sound intensity probe, and a camera is provided on one side of the sound intensity probe, and the camera is used to at least identify the contour of the acoustic material sample to be tested; after obtaining the contour of the sample based on camera image recognition, a "double helix path" is selected: an outer helix and an inner helix; the path spacing is dynamically adjusted, and the scanning density is automatically optimized according to the change of the sound intensity gradient.

[0021] Optionally, select "Straight Path": transverse path and longitudinal path; the path spacing is dynamically adjusted and the scanning density is automatically optimized according to the change of the sound intensity gradient.

[0022] Optionally, it includes a robotic arm, a testing device and a processor arranged in an anechoic chamber; the testing device includes a camera, a rangefinder and a sound intensity probe, the camera will take pictures of the acoustic material to be tested, and transmit them to the processor to identify the acoustic material sample to be tested and its boundary position; the sound intensity probe measures the sound of the sound source passing through the acoustic material sample to be tested, and calculates the sound insulation volume of the acoustic material sample to be tested based on the sound pressure level in the reverberation chamber and the sound pressure level received by the sound intensity probe.

[0023] The sound insulation of the material is calculated using the following formula:

[0024] R1 is the sound insulation of the material; L p1 is the average sound pressure level in the reverberation room; L In is the average normal sound intensity level of the measurement surface in the anechoic chamber; S m is the total area of ​​the measuring surface; S is the area of ​​the acoustic material sample to be tested in the test.

[0025] Optionally, the robotic arm is provided with a testing device, the robotic arm is provided with a testing device, the camera is at least used to identify the acoustic material sample to be tested and its boundary position, the distance between the sound intensity probe and the acoustic material sample to be tested is D, the value range of D is 3-4 cm, and it moves at a uniform speed of 0.1-0.3 m / s.

[0026] Optionally, the robotic arm can move along the outer spiral, the inner spiral, the transverse path and the longitudinal path at an average speed of 0.1-0.3 m / s.

[0027] Compared with the prior art, the advantages of the present invention include:

[0028] (1) The present invention provides a device and method for testing the sound insulation of smart materials, which uses a double-layer composite sealing system to achieve double sealing of edge gaps. Experimental verification shows that the leakage rate is lower than that of the traditional single sealing method.

[0029] Spiral scanning of sound intensity probe and sound pressure level difference algorithm (L P1In ≥6dB criterion) to achieve precise positioning; the dynamic generation technology of acoustic leakage cloud map improves the repair efficiency and shortens the single detection cycle.

[0030] (2) The checkerboard scanning mode is combined with double-helix path planning to dynamically adjust the scanning interval (5-15cm), reducing the coverage blind area by 90% and avoiding the local missed detection problem in traditional testing.

[0031] (3) A collaborative detection system integrating a robotic arm, laser ranging, and machine vision can achieve millimeter-level control of the verticality of sample installation with a value of Δd ≤ 0.5 μm and automated detection at a speed of 0.2 m / s. A checkerboard scanning and double-helix path combination algorithm can eliminate boundary effects and reduce the test blind area through dynamic spacing adjustment of 5-15 cm. The horizontal / vertical cross-scanning mode guided by the sound intensity gradient (Example 2) increases the accuracy of material defect recognition to 98.6%.

[0032] (4) The full-process automation system realizes closed-loop control of installation detection-seal calibration-path planning-data processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0034] Figure 1 This is a flow chart of a smart material sound insulation method in the present invention;

[0035] Figure 2 Schematic cross-sectional view of a device for testing the sound insulation performance of smart materials in the present invention;

[0036] Figure 3 This is a path diagram of a smart material sound insulation test device in the present invention;

[0037] Figure 4 This is a path diagram of Example 2 of a smart material sound insulation testing device in the present invention.

[0038] Figure numerals: 1. Anechoic chamber; 2. Reverberation chamber; 3. Wall; 4. Test device; 5. Acoustic material sample to be tested; 6. Microphone.

[0039] In the drawings, the same components are denoted by the same reference numerals; the drawings are not drawn to scale. DETAILED DESCRIPTION

[0040] In view of the deficiencies in the prior art, the inventors of this case have proposed the technical solution of the present invention after long-term research and extensive practice. The following will further explain the technical solution, its implementation process and principles, etc. in conjunction with the drawings in the embodiments of this application and specific implementation cases.

[0041] It should be noted that the embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be understood as limiting the present invention. The embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, the present invention covers any substitution, modification, equivalent method and scheme made within the spirit, principle and scope of the present invention defined by the claims. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0042] In the description of this application, "first", "second", "third" and similar words do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, "a" or "an" and other similar words do not indicate a quantity limitation, but rather indicate the existence of at least one. "Include" or "comprising" and other similar words mean that the elements or objects appearing before "include" or "comprising" include the elements or objects listed after "include" or "comprising" and their equivalents, and do not exclude other elements or objects. "Connected" or "connected" and other similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0043] In the description of this application, the terms "center," "up," "down," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inside," "outside," and the like, indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings and are intended only to facilitate the description of this application and simplify the description. They are not intended to indicate or imply that the devices or components referred to must have a specific direction, be constructed, or operate in a specific direction. Therefore, they should not be construed as limitations on this application. Furthermore, when positional terms such as "both sides," "outside," "upper," and "lower" are used, they should be understood to be used solely to facilitate understanding and description, taking into account that the structure may be oriented in other directions.

[0044] In the description of this application, unless otherwise clearly specified and limited, the technical or scientific terms used should have the usual meanings understood by persons with ordinary skills in the field to which this application belongs. Terms such as "install", "connect", and "connect" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, a conflicting connection, or an integrated connection. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0045] The embodiments of the present invention are intended to introduce and illustrate the structural components of a smart material sound insulation testing device and method, as well as the coordination between the various components. Unless otherwise specified, the dimensions, materials, and manufacturing processes of the various components of the smart material sound insulation testing device and method in the embodiments of the present invention can be selected according to specific circumstances and are not specifically limited or described herein.

[0046] Furthermore, in order to provide the public with a better understanding of the present invention, some specific details are described in detail in the following detailed description of the present invention, but those skilled in the art can fully understand the present invention without the description of these details.

[0047] Example 1

[0048] See also Figure 1-3 As shown, a device and method for testing the sound insulation of smart materials include the following steps:

[0049] S101, selecting an acoustic material sample 5 to be tested;

[0050] S102, installing the acoustic material sample 5 to be tested in the test window between the reverberation chamber 2 and the anechoic chamber 1, wherein the size of the test window matches the size of the acoustic material sample 5 to be tested, and a double-layer sealing structure is used;

[0051] Primary sealing: Attach 3M waterproof tape along the edge of the acoustic material sample 5 to cover the gap;

[0052] Secondary sealing: Plastic clay (5mm thick) is pressed onto the outside of the tape to form an airtight layer to further reduce sound leakage.

[0053] S201, sample installation and testing: A robotic arm is set in the anechoic chamber 1 and is controlled to move parallel to the wall. The robotic arm is provided with a testing device 4, which includes a camera, a rangefinder, and a sound intensity probe;

[0054] Start the rangefinder and the camera. The camera automatically identifies the sample and its boundary position, uploads the data to the processor, and controls the robotic arm to move parallel to the wall. The robotic arm movement speed is V, and the value range of V is between 0.1-0.3m / s. In this embodiment, V is 0.2m / s. Real-time data is collected from 10 ranging points on the surface of the acoustic material sample 5 to be tested;

[0055] The distance between the test device 4 and the acoustic material sample 5 to be tested is D, and the value range of D is 3-4 cm; the maximum distance between the test device 4 and the acoustic material sample 5 to be tested is D max The minimum distance between the test device 4 and the acoustic material sample 5 to be tested is D min ;

[0056] Real-time computing If the maximum deviation value Δd ≤ 0.5 mm (such as the distance value is within the range of 304.5-305.5 mm), it is determined that the installation verticality of the acoustic material sample 5 to be tested is qualified; otherwise, an alarm is triggered and an adjustment prompt is given, and the process returns to step S102, and then the process is executed in sequence according to step S102 as the starting step.

[0057] S202, sealing test: start the sound intensity probe, and scan the sound intensity probe along the edge of the acoustic material sample 5 to be tested in a spiral path, and then stop at the center of the acoustic material sample 5 to be tested;

[0058] The following data is collected:

[0059] Anechoic chamber side: Average normal sound intensity level L around and on the surface of the acoustic material sample 5 to be tested In ;

[0060] The microphone 6 is set in the reverberation chamber 2, and the microphone 6 is turned on;

[0061] The following data is collected:

[0062] Reverberation chamber 2 side: average sound pressure level of reverberation chamber 2 L p1 ;

[0063] Real-time calculation of L P1In = L p1 -L In , if a region L P1In < 6dB (if a certain point L is detected P1In =4.2dB), upload it to the processor to generate the sound leakage cloud map, mark the leakage coordinates (X=0.75m, Y=0.3m); and return to step S102, and then follow the step S102 as the starting step sequence; the operator adds 3M waterproof glue and plasticine according to the sound leakage cloud map to repair until the entire area L P1In ≥ 6dB.

[0064] S203, material defect detection: Use the chessboard scanning mode to perform full area coverage detection on the surface of the acoustic material sample 5 to be tested. If a local area L P1In <6dB, and step S202 has been executed, it indicates that the acoustic material sample 5 to be tested has quality defects, and the acoustic material sample 5 to be tested needs to be replaced, and step S101 is executed, and then the steps are executed in sequence starting with step S101.

[0065] S301, sound field uniformity test of reverberation chamber 2: four microphones 6 are arranged near reverberation chamber 2 to measure the sound intensity at each point; if the test results of the four microphones 6 are consistent, the sound field of reverberation chamber 2 is uniform; otherwise, this step is repeated, and the configuration of reverberation chamber 2, such as the location of the sound source and the sound absorbing material, is adjusted until the sound field is uniform.

[0066] S401, test path planning: After obtaining the outline of the acoustic material sample 5 to be tested based on camera image recognition, and the robot arm drives the test device 4 to be placed at the center of the workpiece in S202, the "double helix path" is preferably selected:

[0067] Outer spiral: Scan from the edge to the center, covering 80% of the area;

[0068] Inner spiral: Intensive scanning of the central area to compensate for boundary effects;

[0069] The path spacing is dynamically adjusted (5-15cm), and the scanning density is automatically optimized according to the change of sound intensity gradient.

[0070] S402, data processing: Compare the test data of the reverse-clockwise path and the test data of the forward-clockwise path. If the difference between the two test results is less than 0.5 dB, take the arithmetic mean of the two data as the test result of the first test;

[0071] Repeat the above test process twice, for a total of three rounds of testing; finally, take the arithmetic average of the three rounds of test results as the final sound insulation value of the acoustic material sample 5 to be tested;

[0072] If the difference between the two test results is greater than 0.5dB, the test result is invalid, and step S201 is repeated, and then the steps are executed in sequence starting with step S201.

[0073] S501: Sound insulation calculation:

[0074] in:

[0075] R1 is the sound insulation of the material;

[0076] L p1 is the average sound pressure level in the reverberation room;

[0077] L In is the average normal sound intensity level of the measurement surface in the anechoic chamber;

[0078] S m is the total area of ​​the measuring surface;

[0079] S is the area of ​​the acoustic material sample to be tested in the test.

[0080] Based on the final sound insulation result, the sound insulation performance of the acoustic material sample 5 to be tested is evaluated; if the sound insulation reaches the preset standard, the acoustic material sample 5 to be tested is qualified; otherwise, further improvement or selection of other materials is required.

[0081] Technical effects of the present invention:

[0082] 1. High-precision sealing and leak detection: The double-layer sealing structure (3M waterproof tape + plastic clay) forms an airtight layer. Combined with the spiral scanning of the sound intensity probe, the leak point can be accurately located to the coordinate level accuracy (such as X=0.75m, Y=0.3m), ensuring the full area of ​​the sound leakage L P1In ≥6dB, leakage is reduced by more than 40% compared with traditional sealing methods;

[0083] Acoustic leak cloud map generation technology intuitively marks the leak area, improves repair efficiency, and avoids the subjectivity and blind detection risks of manual inspection.

[0084] 2. Automated intelligent inspection and defect identification: The robotic arm, rangefinder, and camera collaborative system achieves micron-level control of installation verticality Δd ≤ 0.5 mm, with an inspection speed of 0.2 m / s, improving efficiency compared to manual inspection.

[0085] The checkerboard scanning mode is combined with double-helix path planning to dynamically adjust the scanning interval (5-15cm), reduce the coverage blind area by 90%, and achieve a material defect recognition accuracy of ≥98%, avoiding the local missed detection problem in traditional testing.

[0086] 3. Optimized sound field uniformity and test consistency: A 4-point, 6-microphone calibration method in reverberation chamber 2 ensures a sound field uniformity deviation of <0.3dB. Intelligent adjustments to sound source position and sound-absorbing materials enhance sound field stability.

[0087] Three rounds of reverse / forward path comparison tests (error threshold 0.5dB) combined with an arithmetic averaging algorithm produced a repeatability error of ≤0.2dB, far exceeding the 1dB requirement of the ISO 10140 standard.

[0088] 4. Full process automation (installation inspection - seal calibration - path planning - data processing) shortens the single test cycle and improves test throughput.

[0089] 5. Standardization and scalability: The core algorithm of the device supports dynamic modification of the sound insulation calculation formula (S m / S area compensation), adaptable to samples of different sizes (10cm²~5m²), measurement error ≤0.8dB.

[0090] Example 2

[0091] Based on Example 1, the difference of this embodiment is that:

[0092] See also Figure 1-4 As shown, S401: test path planning, after obtaining the outline of the acoustic material sample 5 to be tested based on camera image recognition, and the robot arm drives the test device 4 to be placed at the center position of the acoustic material sample 5 to be tested in S202, the "double helix path" is preferably selected:

[0093] Then select "Straight Path":

[0094] Transverse path: moving along the width direction of the acoustic material sample 5 to be tested;

[0095] Longitudinal path: The longitudinal trajectory moves along the height direction of the acoustic material sample 5 to be tested;

[0096] Dynamic adjustment of path spacing (5-15cm), automatic optimization of scanning density according to changes in sound intensity gradient;

[0097] By adopting both horizontal and vertical tracks, the surface of the acoustic material sample 5 to be tested can be cross-covered, effectively reducing the test blind area and improving the accuracy and reliability of the test.

[0098] The technical effects of this embodiment 2 are as follows: in terms of sound field scanning coverage and test reliability, through the orthogonal complementation of the paths in the width direction and the height direction, the sound intensity gradient enhancement detection can be performed on the corner areas and the central symmetry axis of the rectangular acoustic material sample 5 to be tested; the dynamically adjusted path spacing (5-15cm) is combined with the feedback of the sound intensity change to adaptively match the surface acoustic impedance distribution characteristics of the sample, effectively compensating for the scanning blind spot of the spiral path at the straight line boundary.

[0099] In addition, the data cross-validation mechanism of the transverse and longitudinal trajectories can identify the sound transmission anomalies caused by material anisotropy, avoid the misjudgment of the sound wave attenuation characteristics in a specific direction by a single spiral path, and thus improve the credibility of the test results of the acoustic material sample 5 with a complex structure to be tested.

[0100] In terms of acoustic energy distribution resolution, through spatial interpolation calculation of orthogonal trajectory sound intensity data, a high-resolution distribution model of acoustic energy leakage on the surface of the acoustic material sample 5 to be tested can be reconstructed, which is particularly suitable for analyzing the acoustic characteristics of local discontinuous structures such as holes and seams; this path combination strategy ensures the spatiotemporal consistency of sound field excitation and signal acquisition through the synchronous triggering of the robotic arm motion control and the sound intensity probe, solving the sound field aliasing problem caused by timing deviation in traditional variable path testing.

[0101] The technical effects of the above embodiments are as follows:

[0102] 1. In terms of sealing and leakage control, a double-layer sealing structure is used to work synergistically. Through the composite lamination process of waterproof tape and plastic clay, the sound wave diffraction effect at the edge of the test window is effectively suppressed. Combined with the spiral scanning path of the sound intensity probe and the leakage cloud map generation algorithm, it can quantify the sound energy leakage intensity in the local area and realize the spatial coordinate positioning of the leakage point, thereby guiding the directional repair of the sealing structure and solving the problem of repeated rework caused by subjective judgment errors in traditional manual sealing.

[0103] 2. In terms of installation and defect detection, the robotic arm is equipped with a multi-sensor fusion system. Through real-time matching of distance measurement data and visual boundaries, it realizes closed-loop control of the installation verticality of the acoustic material sample 5 to be tested, avoiding the distortion of the sound field distribution caused by the installation tilt. Furthermore, the dynamic complementarity of the checkerboard scanning mode and the double helix path can simultaneously detect the inherent defects of the material and the installation defects. Through the dual judgment criteria of the sound intensity level threshold (L for leakage detection and defect detection), the sound intensity level threshold is used to detect the defects of the material and the installation defects. P1In Threshold difference) improves fault classification accuracy and overcomes the risk of misjudgment of boundary effects and material inhomogeneity caused by traditional single-path scanning.

[0104] 3. In terms of sound field stability and test consistency, the multi-point sound pressure level calibration mechanism of reverberation chamber 2 ensures the spatial uniformity of the incident sound field of the acoustic material sample 5 to be tested through the linkage adjustment of the sound source position and the sound-absorbing material. Combined with the reverse / forward dual-path data comparison and the three-round averaging algorithm, it effectively suppresses random errors introduced by environmental disturbances or equipment drift, making the sound insulation measurement results reproducible, which is particularly suitable for the accurate assessment of low-frequency sound energy distribution.

[0105] 4. In terms of test efficiency and adaptability, the full-process automated control seamlessly connects the installation inspection, seal calibration, path planning and data processing links, reducing the frequency of manual intervention; through the dynamic compensation algorithm for the measurement surface area, the standardized calculation of the sound insulation of the acoustic material samples 5 to be tested of different sizes is realized, and the test compatibility of the device for special-shaped acoustic material samples 5 to be tested (such as curved surfaces or hollow structures) is expanded; in addition, the horizontal and vertical straight line intersection paths introduced in Example 2 enhance the ability to capture the surface sound intensity gradient of the acoustic material sample 5 to be tested through orthogonal superposition of trajectories, make up for the insufficient coverage of the spiral path at the corners of the rectangular area, and further improve the resolution of complex sound field characteristics.

[0106] It should be understood that the above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with this technology to understand the content of the present invention and implement it accordingly. It cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, they can make some simple deductions or substitutions without departing from the concept of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for testing the sound insulation of smart materials, characterized by: The sound source in the reverberation chamber (2) is used to generate a sound source to the sound intensity probe arranged in the anechoic chamber (1). A diffusion field is formed in the reverberation chamber (2) with uniform energy density at all locations and randomly distributed in all propagation directions; Using a sound intensity probe to receive the sound of a sound source passing through a sample of an acoustic material to be tested (5); Calculating the sound insulation of the acoustic material sample (5) to be tested based on the sound pressure level in the reverberation chamber (2) and the sound pressure level received by the sound intensity probe; The sound insulation of the acoustic material sample (5) to be tested is calculated using the following formula: ； R1 is the sound insulation of the material; L p1 is the average sound pressure level in the reverberation room (2); L In is the average normal sound intensity level of the measurement surface in the anechoic chamber (1); S m is the total area of ​​the measurement surface; S is the area of ​​the acoustic material sample (5) to be tested in the test; The sound intensity probe test results are L p1 and L In ; L P1In = L p1 -L In , if a region L P1In < 6dB, uploaded to the processor to generate the acoustic leakage cloud map; A camera is provided on one side of the sound intensity probe, and the camera is used at least to identify the outline of the acoustic material sample (5) to be tested; After obtaining the sample contour based on camera image recognition, a double helix path is selected: outer helix and inner helix; The path spacing is dynamically adjusted to automatically optimize the scanning density according to the change of sound intensity gradient.

2. The method for testing the sound insulation performance of smart materials according to claim 1, wherein: The distance between the sound intensity probe and the acoustic material sample (5) to be tested is D, the value range of D is 3-4 cm, and the sound intensity probe is scanned at a uniform speed of 0.1-0.3 m / s.

3. The method for testing the sound insulation performance of smart materials according to claim 2, wherein: Select the linear path: horizontal path and vertical path; The path spacing is dynamically adjusted to automatically optimize the scanning density according to the change of sound intensity gradient.

4. A device for testing the sound insulation performance of smart materials, using the method according to any one of claims 1 to 3, characterized in that: The testing device includes a robotic arm, a testing device (4), and a processor arranged in an anechoic chamber (1); The testing device (4) includes a camera, a rangefinder, and a sound intensity probe, wherein the camera is used to photograph the acoustic material piece to be tested and transmit the photograph to the processor to identify the acoustic material sample piece to be tested (5) and its boundary position; The sound intensity probe measures the sound of the sound source passing through the acoustic material sample to be tested (5), and calculates the sound insulation volume of the acoustic material sample to be tested (5) according to the sound pressure level of the reverberation chamber (2) and the sound pressure level received by the sound intensity probe; The sound insulation of the material is calculated using the following formula: ； R1 is the sound insulation of the material; L p1 is the average sound pressure level in the reverberation room (2); L In is the average normal sound intensity level of the measurement surface in the anechoic chamber (1); S m is the total area of ​​the measurement surface; S is the area of ​​the acoustic material sample (5) to be tested in the test.

5. The smart material sound insulation test device according to claim 4, characterized in that: The robotic arm is provided with a testing device, wherein a camera is used at least for identifying the acoustic material sample (5) to be tested and its boundary position, the distance between the sound intensity probe and the acoustic material sample (5) to be tested is D, the value range of D is 3-4 cm, and the sound intensity probe moves at a uniform speed of 0.1-0.3 m / s.

6. The smart material sound insulation testing device according to claim 5, characterized in that: The robotic arm can move along the outer spiral, inner spiral, transverse path and longitudinal path at a uniform speed of 0.1-0.3m / s.

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