221 results about "Acoustical impedance" patented technology

The invention provides a textile cloth defect real-time detection method and system based on multi-modal feature fusion, and the method comprises the steps: collecting visual image data, infrared thermal imaging data and ultrasonic acoustic data of textile cloth through a multi-sensor array, and forming multi-modal input; performing time sequence alignment and noise filtering preprocessing on the multi-modal data to eliminate motion artifacts and environmental interference; a parallel feature extraction module is used for extracting texture features from the visual data, extracting temperature distribution features from the thermal imaging data and extracting acoustic impedance features from the acoustic data. By deeply fusing complementary information of three modes of vision, thermal imaging and ultrasonic wave, the detection capability is improved, the vision mode captures surface texture details, the thermal imaging mode reveals thermodynamic anomalies related to friction and materials, the ultrasonic wave mode perceives subcutaneous structure defects, hidden flaws which cannot be recognized by a single mode can be found, and the detection efficiency is improved. Therefore, the omission ratio is greatly reduced, and flaw types are distinguished more accurately.

The invention discloses a micro-scale tin soldering device and method for ultrasonic laser composite energy field coordinated regulation and control. The micro-scale tin soldering device comprises a coordinated energy output module, a multi-physical field monitoring module, a wire feeding module, an intelligent regulation and control system and a motion platform, and a workpiece to be welded is arranged on the motion platform; the collaborative energy output module comprises a laser unit, an ultrasonic vibration unit and a focusable focus lens, the ultrasonic vibration unit comprises an ultrasonic generator, and the multi-physical field monitoring module comprises an infrared thermometer, a high-speed holographic imaging system and an acoustic impedance sensor; the high-speed holographic imaging system is used for recording brazing filler metal molten pool flowing and IMC nucleation dynamic states; the acoustic impedance sensor monitors the ultrasonic energy transmission efficiency; the intelligent regulation and control system is electrically connected with the multi-physics field monitoring module, and a multi-physics field coupling prediction model based on an LSTM neural network is arranged in the intelligent regulation and control system. According to the technical scheme, the structural design is reasonable, the energy field coupling efficiency is high, the material adaptability is high, the structure performance is controllable, the defect rate is remarkably reduced, and practicability is good.

The invention provides a cell acoustic characteristic parameter estimation method and system based on a full-connection neural network and a computer medium, and relates to the technical field of biomedical engineering and micro-nano operation, and the method comprises the steps: constructing a three-layer spherical shell model of a target cell, defining the radius, density and sound velocity of each layer and a surrounding medium, and constructing a three-layer spherical shell model of the target cell; the acoustic impedance and the wave number of each layer are calculated; obtaining a transducer driving parameter, a displacement speed of the cell or equivalent particle solid sphere particle, and physical parameters of the cell and a medium; inputting the input feature data into a pre-trained full-connection neural network model to output acoustic characteristic parameters such as a scattering coefficient and an internal refraction coefficient; and calculating acoustic radiation force based on the acoustic characteristic parameters to realize dynamic control. Based on the full-connection neural network and the three-layer spherical shell model, the cell acoustic parameters are efficiently and accurately estimated, the problems that a traditional method is complex in calculation and insufficient in precision are solved, and accurate operation of the acoustic tweezers on the cells is achieved.

The invention discloses a solid ultrasonic gel patch as well as a preparation method and application thereof, and belongs to the technical field of medical chemistry. The solid ultrasonic gel patch is prepared from an acrylamide monomer, polyvinyl alcohol, sodium polyacrylate, sodium carboxymethyl cellulose, nano silicon dioxide, propylene glycol, glycerol, acrylic acid, triethanolamine, a cross-linking agent, an initiator and water according to a specific ratio. The prepared solid ultrasonic gel patch is highly matched with human soft tissue in acoustic impedance (about 1.62-1.63 * 10 < 6 > Pa.s / m), low in acoustic attenuation coefficient (less than or equal to 0.034 dB / (cm.MHz)), moderate in skin adhesion, excellent in flexibility and moisture retention, capable of solving the problems that a traditional ultrasonic coupling agent is inconvenient to use, easy to dry, poor in experience and the like, and suitable for acoustic wave conduction in ultrasonic examination and treatment.

The invention discloses a method for inverting the velocity of a cementing medium after casing based on ultrasonic Lamb waves, and relates to the field of geophysical logging. According to the method, ultrasonic Lamb wave logging and ultrasonic pulse reflection logging are carried out at all depth points through a post-casing scanning imaging logging instrument, waveform records at all the depth points are obtained, the thickness of a casing in the specified direction at all the depth points and acoustic impedance of a post-casing cementing medium are calculated in an inversion mode, and then the thickness of the casing in the specified direction at all the depth points and the acoustic impedance of the post-casing cementing medium are calculated on the basis of the ultrasonic Lamb wave logging waveform records. For each specified orientation of each depth point, Fourier transform is carried out on the full waveform of the near-bending Lamb wave and the full waveform of the far-bending Lamb wave, the phase difference of the far-bending Lamb wave and the far-bending Lamb wave is calculated, group delay processing is carried out, the working frequency band of the imaging logging instrument is scanned after combination, and the phase difference of the far-bending Lamb wave and the near-bending Lamb wave is calculated; and frequency values corresponding to the minimum values of the group delays at all the directions of all the depth points are obtained, and after a frequency set is obtained, the wave velocity and the medium type of the cementing medium after casing are determined according to the frequency values at all the directions in the frequency set, the frequency number of the minimum values and the acoustic impedance value.

The invention provides an MEMS heart sound and electrocardio detection system, method and equipment, and relates to the technical field of medical instruments, the MEMS heart sound and electrocardio detection system comprises a bionic cilium heart sound sensor, an electrocardio acquisition circuit and a signal fusion model; the bionic cilia heart sound sensor comprises hollow bullet type bionic cilia and a cantilever beam microstructure; the hollow bullet type bionic cilia and the cantilever beam microstructure are mechanically coupled, and the cantilever beam microstructure comprises a Wheatstone bridge formed by arranging a plurality of piezoresistors and is used for collecting heart sound signals; the electrocardio acquisition circuit and the bionic cilium heart sound sensor are packaged in an acoustic impedance matching mode, and the electrocardio acquisition circuit comprises an electrocardio acquisition electrode plate, a power supply voltage stabilization module, an instrument amplification module, a band-pass filtering module and a notch filter and is used for acquiring and conditioning electrocardio signals; the signal fusion model comprises a Resnet18 feature extractor, an encoder and a mutual cross attention mechanism, and is used for performing feature extraction, linear transformation and feature deep fusion on the collected electrocardiosignals and electrocardiosignals and outputting a signal classification result.

The invention discloses a forest biomass nondestructive testing device and method in forestry carbon sink measurement, and relates to the technical field of forestry resource monitoring and carbon sink evaluation, the device comprises a multi-mode sensing unit, an underground biomass monitoring module and a data processing unit, the multi-mode sensing unit collects forest stand data through cooperation of a microwave radar, a laser radar and a hyperspectral imaging assembly. The underground biomass monitoring module collects acoustic impedance data of a root system; the data processing unit comprises an environment feature recognition module, a dynamic calibration engine, an organ recognition unit, a dynamic carbon distribution unit and a carbon sink metering module, the method comprises the following steps: cooperatively acquiring data through an air base and a foundation, analyzing environment features, dynamically calibrating, segmenting organs and generating a carbon distribution coefficient, and finally calculating the carbon sink amount of a single tree according to a formula. According to the invention, non-contact multi-parameter synchronous acquisition is realized, environmental changes are adapted through dynamic calibration, accurate metering is realized by means of organ-level carbon distribution, and the precision and reliability of forestry carbon sink metering are improved.

The invention discloses a modeling method of an acoustic impedance calculation model for an ablated surface of a carbon-based composite material, and belongs to the field of aerospace. Aiming at the defects of a modeling method of an existing Fedorov acoustic impedance model on a carbon-based fiber material, heat flow resistance and heat characteristic length are introduced on the basis of a formula of an original impedance model, and a dimensionless complex dynamic compressibility coefficient is modified, so that the Fedorov acoustic impedance model is developed from a four-non-acoustic-parameter impedance model to a six-non-acoustic-parameter impedance model. An impedance model used for correction is a JCAL acoustic impedance model, the impedance model is often used in the acoustics field to predict the surface acoustic impedance of the irregular fiber material, and then the prediction precision of the original impedance model on the surface acoustic impedance of the non-uniformly distributed carbon-based fiber material is improved. And fitting the improved impedance model into a test result of an impedance tube experiment through parameter inversion to obtain non-acoustic parameter data suitable for the ablated carbon-based composite material, and obtaining an improved acoustic impedance model suitable for the carbon-based composite material.

The invention discloses a preparation method of a high-developability metal guide wire for an ultrasonic interventional operation, which comprises the following steps: selecting a material with acoustic impedance performance to prepare nanofibers through an electrostatic spinning technology, and sintering to obtain a nanofiber core; s2, mixing and ball-milling the nanofiber core obtained in the step S1 and a material with acoustic impedance performance, adding a binder, extruding, re-sintering, placing in a material tube with acoustic impedance performance, filling with material powder with acoustic impedance performance, cutting into a cylinder, and performing torsional deformation under high pressure; s3, laser bionic machining is conducted on the end point of the bar subjected to torsional deformation in the step S3, a specific lattice constant is formed, and an electron beam is provided for directional annealing of a machined product in the step S4; and a foundation is laid for inhibiting harmful artifacts generated by strong reflection of a single interface, so that the guide wire presents a clearer and more real contour in an ultrasonic image.

The invention provides a spiral-like sensing assembly and an imaging system thereof, and belongs to the technical field of sensing and detection. The sensing assembly comprises a bottom lining layer and a vibration diaphragm layer, the bottom lining layer is of a spiral-like cavity structure, the vibration diaphragm layer comprises a supporting layer, a plurality of electrode layers and at least one piezoelectric layer, and the positions of the supporting layer, the electrode layers and the piezoelectric layer correspond to each other and are geometrically matched. The plurality of sensing units with different sizes are arranged according to a spiral-like path, and the wave crests and the wave troughs of sensitivity curves are mutually compensated and coupled; the imaging system is composed of a spiral array formed by the sensing assembly, a sound wave emission unit, a central processing module and a display device, and the array further comprises a sound impedance matching layer to improve the sound energy transmission efficiency. The response bandwidth of the sensing assembly is effectively widened, the detection sensitivity and precision of the imaging system are remarkably improved, and the method can be applied to target detection, position calibration and route planning, underwater acoustic communication transmission, fishery breeding monitoring, geological structure exploration and the like; and a certain reference is provided for exploration of light weight and informatization of future equipment.

An ultrasound probe according to an embodiment includes a transducer part, a contact part, and an acoustic transmission layer. The transducer part has plural transducers that transmit and receive ultrasound. The contact part comes into contact with a subject. The acoustic transmission layer is arranged between the transducer part and the contact part and is formed of a material low in ultrasonic attenuation rate. Furthermore, the acoustic transmission layer has a thickness in a range of 2.3 mm to 4.7 mm and is formed using a material having an acoustic impedance of 1.4 MRayl or more and 1.6 MRayl or less.

This application discloses a planar scanning-based immersion battery thermal runaway identification device and method, relating to the field of battery energy storage safety monitoring technology. The device consists of a fully enclosed immersion tank, immersion liquid, ultrasonic phased array sensors located at the corners of the inner wall of the tank, and a signal processing module. The sensors are installed below the liquid surface and above the individual battery cells, emitting fan-shaped ultrasonic beams to form a horizontal logical scanning plane covering the entire diagonal length of the bottom surface of the module. This identification method employs active scanning and physical feature extraction logic: first, an environmental acoustic impedance reference spectrum is established using phased array beams; then, echo changes within the scanning plane are monitored in real time. This invention effectively eliminates the interference of battery bulging and mechanical vibration on traditional monitoring methods, achieving refined characterization and centimeter-level precise positioning of the gas-generating physical characteristics during the thermal runaway evolution process, significantly improving the intelligent safety level of immersion energy storage systems.

The embodiment of the invention provides a surface acoustic wave device and an electronic module, and the device comprises a piezoelectric substrate and an IDT electrode, and the IDT electrode is located at one side of the piezoelectric substrate. The IDT electrode includes: bus bars including a first bus bar and a second bus bar facing each other in a first direction; the first bus bar is provided with a plurality of first electrode fingers and a plurality of first dummy electrode fingers, and the first electrode fingers and the first dummy electrode fingers are alternately arranged and extend from the first bus bar to the second bus bar; the second bus bar is provided with a plurality of second electrode fingers and a plurality of second dummy electrode fingers, and the second electrode fingers and the second dummy electrode fingers are alternately arranged and extend from the second bus bar to the direction of the first bus bar; a plurality of first acoustic impedance pattern grooves are formed in the first bus bar at intervals in the first direction; and / or the second bus bar is provided with a plurality of second acoustic impedance pattern grooves at intervals along the first direction.

The invention belongs to the technical field of ultrasonic transducers, and particularly relates to a multi-layer high-performance ultrasonic transducer matching layer structure and a preparation method thereof. The matching layer structure at least comprises five slurry layers with different acoustic impedances, and every two adjacent slurry layers are firmly combined through interface crosslinking; the formula of each slurry layer consists of the following components in parts by weight: 100 parts of a polymer matrix; the polymer matrix is one of polyurethane, epoxy resin and polyimide; 40 to 600 parts of an acoustic filler; the acoustic filler is one or a combination of more of metal powder, hollow glass microspheres and polymer hollow microspheres; 5 to 30 parts of a cross-linking agent; the cross-linking agent is a silane cross-linking agent. Continuous gradual change of acoustic impedance is achieved, the size is smaller, and the performance is more uniform and controllable.

The invention relates to the technical field of aquaculture water treatment, and discloses a fishpond multi-stage purification and filtration system and a filtration dam device.The fishpond multi-stage purification and filtration system comprises a multi-stage flow guide filtration dam, a piezoelectric-biological coupling reactor and a self-adaptive resonance control system.The piezoelectric-biological coupling reactor is filled with piezoelectric composite biological filler, and a micro electric field is generated through ultrasonic excitation; the piezoelectric-biological coupling reactor and the biological membrane cooperate to degrade pollutants, the adaptive resonance control system monitors an acoustic impedance characterization value in the piezoelectric-biological coupling reactor in real time, ultrasonic output parameters are adaptively adjusted through a differential algorithm according to deviation, and dynamic regulation and control and in-situ updating of the thickness of the biological membrane are achieved; and an anoxic autotrophic denitrification and reoxygenation reflux device is also arranged at the rear end of the system. Through microcosmic coupling of piezoelectric catalysis and biodegradation and intelligent closed-loop feedback control, synchronous and efficient removal of refractory organic matters and ammonia nitrogen is realized, and high activity and long-acting stable operation of the purification system are ensured.

In a body cavity insertion-type ultrasound probe, acoustic matching between each transducer and a living body is improved. A film member (FPC substrate) is configured with a base film and a conductor layer. The conductor layer includes a signal pattern, a ground pattern, and a plurality of acoustic element arrays. An acoustic matching layer is provided between each transducer and the base film. The acoustic matching layer consists of an acoustic element array and a filling material. A ratio of a conductor material in the acoustic matching layer determines an acoustic impedance of the acoustic matching layer.

The utility model discloses a double-control acoustic impedance testing device, which comprises a main controller, a power supply module, a probe, an acoustic output module, an acoustic feedback signal acquisition module and an air pressure adjusting module, and is characterized in that the main controller outputs an audio data signal to the acoustic output module, receives an acoustic feedback signal output by the acoustic feedback signal acquisition module, and sends the acoustic feedback signal to the probe; an air pressure adjusting control signal is sent to the air pressure adjusting module, and an air pressure feedback signal sent by the air pressure adjusting module is received; the sub-controller receives a detection sound signal sent by the loudspeaker through the input / output interface, transmits a microphone driving signal and transmits a sensor driving signal; the air pressure adjusting module converts the air pressure parameter into an air pressure feedback signal for output; the sound output module controls a loudspeaker to emit a detection sound signal according to the received audio data signal; the acoustic feedback signal acquisition module is used for converting the echo signal into an acoustic feedback signal; the power supply module provides working voltage. According to the utility model, the acoustic impedance can be tested more quickly and accurately.

The invention provides an artificial intelligence-based industrial boiler coking prediction method and system. The method comprises the steps of infrared thermal image time sequence acquisition, multi-spectral dynamic threshold segmentation, acoustic impedance feature extraction, multi-modal working condition fusion, space-time attention prediction modeling and adaptive threshold decision triggering. According to the method, the local threshold values are adaptively calculated on different spectral bands such as short waves, medium waves and long waves, response characteristics of all temperature zones can be considered, the false detection and missing detection risks caused by the fixed threshold values are remarkably reduced, and high-temperature hot spots are extracted more accurately and reliably; acoustic impedance characteristics obtained through calculation quantitatively reflect the structure and viscosity change of a coking layer by using attenuation and time delay information of sound waves in an ash layer, a direct and fine physical basis is provided for subsequent rheological property inference, and the defect that mechanical changes of materials are difficult to capture through pure temperature monitoring is effectively overcome.

A MEMS having a fluid channel in at least one MEMS layer is provided. The fluid channel is designed to provide fluid connection between a first channel side and a second channel side. The sidewall structure of the fluid channel includes a scallop-shaped component, wherein, due to the scallop-shaped structure, the acoustic channel has an effective acoustic channel width that is enlarged compared to the nominal channel width.

The invention discloses an ultrasonic developing medical material as well as a preparation method and application thereof. The ultrasonic developing medical material is prepared from the following raw material components: a medical polymer material, a hollow filler, a coupling agent and an auxiliary agent. According to the ultrasonic developing medical material, the raw materials are selected, so that the prepared ultrasonic developing medical material has an excellent acoustic impedance value, specifically, the acoustic impedance value of a medical high polymer material is generally small, the hollow filler is in a hollow microbead shape, ultrasonic waves can be effectively reflected due to the existence of micropores, and the ultrasonic developing effect is improved. After the material is added into a medical polymer material, the acoustic impedance value of the material can be remarkably improved, the ultrasonic development effect of the material is further improved, and the material can be applied to manufacturing interventional catheters and implanted devices with the ultrasonic development enhancing effect.

The invention provides a personalized ear mold 3D printing technology and an application system thereof. The personalized ear mold 3D printing technology comprises the following printing steps: S1, synchronously acquiring multi-modal data: synchronously finishing by using an intelligent ear canal scanner: (1) physiological data: detecting a high-precision ear canal 3D model and a soft tissue elasticity modulus; according to the 3D ear mold printing technology, a non-European acoustic waveguide structure is optimized through multi-modal data fusion and a quantum annealing algorithm, millimeter-level anatomical matching and dynamic acoustic impedance tuning of the ear canal are achieved, and the acoustic impedance spectrum and the personalized frequency response preference of the ear canal of a user are obtained. According to the invention, femtosecond laser coloring is combined to construct a nano grating color developing layer and StyleGAN3 to generate microvascular bionic textures, so that the traditional single adaptive dimension is broken through, the ear mold has the lifelong evolution ability of acoustic self-adaption, aesthetic self-matching and physiological self-optimization, and a static hearing aid device is upgraded to an intelligent biological function extension body.

The invention belongs to the technical field of material ultrasonic detection, and relates to a composite board interface defect classification and identification method and system based on echo feature fusion, and the method comprises the steps: extracting ultrasonic echo multi-dimensional acoustic features; calculating a local acoustic feature aliasing degree; combining the acoustic impedance value, the local acoustic feature aliasing degree and the sample scarcity degree to generate a dynamic acoustic cost weight; reconstructing a random forest model, and constructing a cost-sensitive voting factor by using an information gain index and a cost weight; inputting the multi-dimensional acoustic features of the to-be-detected composite board, and executing weighted summation to obtain a classification result; according to the method, the feature aliasing degree can be evaluated more accurately, the sample scarcity and acoustic characteristics are comprehensively considered, the importance of high-risk defect features in decision making is ensured, the misjudgment problem is effectively solved, and the accuracy and reliability of composite board interface defect classification and recognition are improved.

The application discloses sound-absorbing and sound-insulating integrated material and a preparation method and application thereof, and belongs to the technical field of new materials. The sound-absorbing and sound-insulating integrated material comprises a fiber assembly layer, a high-density sound-insulating layer and a polymer damping layer, the fiber assembly layer, the high-density sound-insulating layer and the polymer damping layer are of a sound impedance gradient gradient structure, the thickness of the fiber assembly layer ranges from 1mm to 10mm, the thickness of the high-density sound-insulating layer ranges from 3mm to 15mm, and the thickness of the polymer damping layer ranges from 2mm to 12mm. The fiber assembly layer is made of fiber materials, including but not limited to natural fibers and chemical fibers of single component or different components. The high-density sound-insulating layer is made of gypsum, and the polymer damping layer is made of silica gel or rubber. The sound-absorbing and sound-insulating integrated material in the application adopts a coconut shell bionic structure, can absorb and insulate noise of different frequency bands, has a simple structure, is easy to manufacture and low in cost.

An ultrasound imaging system (110) may include a transducer configured to transmit and receive an ultrasound signal; a matching layer configured to have an acoustic impedance between the tissue to be imaged and the material of the transducer; a damping block configured to absorb ultrasonic energy; and a processing circuit (316). A processing circuit (316) may acquire medical imaging data of an anatomical feature of a subject. A processing circuit (316) may determine a position of an anatomical structure relative to an anatomical feature of a subject. A processing circuit (316) may generate a four-dimensional (4D) model of an anatomical feature of a subject, the four-dimensional (4D) model including a visual indicator identifying a location of an anatomical structure relative to the anatomical feature of the subject. The processing circuitry (316) may display the 4D model via the user interface.

A computer-implemented method comprises: receiving first acoustic impedance information from a plurality of ultrasound sensors located near a distal end of a needle inserted into a subject; providing visualization of the first acoustic impedance information; receiving confirmation from a user based on the visualization of the first acoustic impedance information that the distal end of the needle is inserted in a tumor of the subject; receiving second acoustic impedance information from the plurality of ultrasound sensors located near the distal end of the needle inserted into the subject, the second acoustic impedance information being received after a fluid is injected from the needle into the tumor of the subject; and providing visualization of the second acoustic impedance information.

The invention discloses a multi-mode ultrasonic coupling analysis system for measuring bone mineral density. The system comprises a shell, a foot placing groove, a sole supporting plate, a display screen, a first transducer, a second transducer, a clamping mechanism and a signal collecting and processing module, wherein the first transducer and the second transducer are oppositely arranged. A detachable double-state coupling piece is installed at the front end of the transducer, the coupling piece is provided with a first coupling face and a second coupling face which are equal in thickness but different in acoustic impedance, and the first coupling face and the second coupling face make contact with the skin in sequence when used. The device carries out bidirectional transmission measurement under multiple frequencies, the processing module averagely extracts transmission frequency dispersion characteristics through two-state difference and reciprocity, the center frequency, sharpness and sensitivity of a transmission window are obtained through fitting, and cortical-spongy transmission window indexes are formed and used for distinguishing osteoporosis phenotypes and longitudinal follow-up visit. According to the method, a traditional homogeneous model that QUS only depends on sound velocity and attenuation is broken through, frequency dispersion window characteristics of a cortical-cancellous double-layer structure are introduced into clinical quantitative indexes for the first time, and sensitivity to early osteoporosis and follow-up visit reliability are improved.

This application provides a method for identifying the depth location of underwater biological aggregation layers, comprising: identifying the upper and lower boundaries of the planktonic aggregation depth by using the position of the abrupt change in sound velocity of the temperature jump layer and the position of the change in acoustic impedance of the dissolved oxygen jump layer, obtaining the depth range of the aggregation layer boundary, and recording the depth location of the biological aggregation layer in the current cycle; determining the center depth location of the biological aggregation layer in the current cycle by combining the depth spacing, the peak depth of the scattering intensity, and the position of the abrupt change in sound velocity; identifying the depth offset between the center depth location and the depth location of the biological aggregation layer in the previous cycle, and when the offset exceeds the preset jump layer stability boundary, acquiring the echo intensity distribution of the temperature jump layer and the dissolved oxygen jump layer, and extracting the echo intensity difference value between the two jump layers; and identifying the final center depth location of the underwater biological aggregation layer using multibeam sonar by using the enhanced boundary depth location and the position coordinates of each depth point in the aggregation layer.

The present technology relates to an information processing apparatus, method, and program that enable sound field control having a higher degree of freedom. The information processing method of the present invention involves an information processing apparatus performing the following: identifying a parameter relating to the complex acoustic impedance of a resonator, or a sound absorber that uses the resonator, installed on a surface forming a target space, said parameter being identified on the basis of a target sound pressure frequency characteristic at an evaluation point in the target space and an acoustic analysis model for obtaining the sound pressure frequency characteristic at any point in the target space; and identifying the shape of the sound absorber on the basis of the parameter. The present technology can be applied to an acoustic metamaterial.

The uniqueness of the presented invention is a biofidelic, metamaterial structured, integrated with wireless sensors, modular, reusable, and anatomically accurate human surrogate (for both male and female) designed for testing and evaluation of personal protective equipment (PPE), and blast environments. Structured with metamaterials, the surrogate demonstrates a biofidelic response to blast overpressure. Metamaterials tailored for blast applications manipulate properties such as wave speed, acoustic impedance, and frequency response to match human tissues with minimized complexity. Incorporating technology from wearable blast sensors, the Blast Overpressure Body (BOB) provides high-resolution, high sampling rate, and time-synchronized simulated human blast data. Its modular design allows for easy replacement of damaged parts, alternative testing scenarios, and enhanced biofidelity, increasing flexibility and reusability. The BOB is a tool for testing, evaluating, and developing PPE and weapon systems, and for research, surveillance, and mitigation of blast exposure in military, industrial, civilian, and law enforcement contexts.

This invention belongs to the field of cable manufacturing technology, specifically relating to a quality control method and system for aerogel composite layer cables. The method includes: obtaining deviation sequences by acquiring outer diameter thickness, acoustic impedance, and current fluctuation data of the aerogel coating layer; obtaining standardized acoustic impedance and local acoustic impedance mean values ​​based on the acoustic impedance in the deviation sequences, and obtaining a pore distribution consistency index; obtaining outer diameter thickness, current fluctuation data, and acoustic impedance of the aerogel coating layer based on the deviation sequences; obtaining the local variance of traction tension based on the current fluctuation data, and obtaining a morphological deviation coefficient by combining characteristic aggregation terms, sensitivity adjustment order, and pore distribution consistency index; obtaining a quality health score based on the morphological deviation coefficient and pore distribution consistency index; and correcting the drive torque of the traction motor and adjusting the current value in the extruder die heating zone based on the quality health score and safety threshold, thereby reducing the blind spots in the quality assessment of aerogel composite layer cable production.