261results about "Velocity propogation" patented technology

The invention belongs to the technical field of marine surveying and mapping, and discloses an equivalent sound velocity automatic inversion method and system based on multi-beam overlap region constraint. The method comprises the following steps of: performing beam point location tracking on multi-beam original data by using surface sound velocity of multi-beam data to obtain an overlapping region of a multi-beam strip; gridding overlapped areas of the multi-beam strips, minimizing water depth deviation between overlapped grids by using a genetic algorithm, and performing inversion to obtain the optimal equivalent sound velocity of each measuring line; and performing beam point location tracking again on each measuring line by using the corresponding equivalent sound velocity obtained by inversion, weakening sound velocity deviation existing in beam point location tracking by using the surface sound velocity, weakening a curved terrain between the strips in the overlapping region, and obtaining a submarine topography with continuous splicing of the overlapping regions of the adjacent strips. According to the invention, the precision and reliability of submarine topography measurement can be ensured, and the speed of submarine topography measurement field operation is improved.

The present invention relates to a sound source positioning and management system and method based on multi-source information fusion, which adopts multi-source information fusion and Bayesian estimation model to locate noise sources by integrating acoustic, vibration and meteorological information. Acoustic sensors capture noise, vibration sensors assist in judgment, and meteorological sensors optimize sound speed calculation, which has higher accuracy in complex environments and multi-source scenarios. Based on real-time positioning and noise characteristic monitoring, the dynamic control execution unit adjusts equipment parameters such as active noise reduction devices according to the decision algorithm, and the user interface facilitates operation and monitoring, thereby improving operability and flexibility. It has been verified in multiple environments such as industrial plants, traffic sections, and construction sites, and can effectively control various types of noise. It has strong environmental adaptability and wide practicability, and can provide a reliable solution for noise control in multiple fields.

The invention discloses a sound velocity distribution forecasting method based on a Mama neural network, and belongs to the technical field of ocean observation. According to the method, the historical profile data of the forecasting task area is used as a reference, the historical profile data are arranged according to the time dimension, and then the sound velocity distribution of the forecasting area at the future moment is forecasted. According to the method, the problem of prediction of underwater sound velocity profile distribution in the time dimension is solved, sound velocity distribution at future moments can be accurately predicted in real time, and sound velocity distribution at specified time resolution intervals in the future is estimated; the problems of insufficient time resolution of ocean sound velocity distribution estimation and lack of future sound velocity forecasting function are solved, and important guiding significance is provided for ocean scientific research.

The invention discloses a one-dimensional and two-dimensional simultaneous diagnosis shock wave velocity measurement system, and relates to the technical field of shock wave velocity diagnosis. The system comprises a targeting light receiving unit, a one-dimensional line imaging unit and a two-dimensional velocity field unit which are arranged on the same light path, the target shooting light receiving unit comprises a light receiving module and a target spot; the one-dimensional line imaging unit comprises a probe light injection module, a light splitting module, a first beam splitter, a first reflector, an interference module and a one-dimensional continuous velocity field measurement module; the two-dimensional velocity field unit comprises a two-dimensional dynamic velocity field diagnosis module; the two-dimensional dynamic velocity field diagnosis module comprises an integration branch and a compression coding branch. According to the system provided by the invention, in the process of performing one-dimensional and two-dimensional shock wave velocity field diagnosis, one-dimensional shock wave velocity evolution and two-dimensional velocity field non-uniformity evolution data can be simultaneously obtained in a single-shot experiment, the overall structure is compact, and a foundation is laid for shock wave velocity multi-dimensional diagnosis.

The invention provides a distributed optical fiber-based vibration source transverse distance determination method and system, and relates to the technical field of optical fiber sensing, and the method comprises the steps: collecting distributed optical fiber vibration signals, extracting features, constructing a multi-resolution scanning region, carrying out the traversal through employing a global optimization algorithm, and calculating the propagation speed of the vibration signals. According to the method, velocity field distribution characteristics based on Gaussian process regression are constructed, velocity field parameters are optimized in combination with a probability sampling optimization method, the transverse distance of a vibration source is accurately determined through discretization space traversal and anisotropy correction, and the precision and reliability of vibration source positioning are improved.

The invention belongs to the technical field of ocean observation, and discloses an underwater sound velocity distribution super-resolution construction method based on multi-modal data fusion. According to the method, a sound velocity distribution forecasting model is constructed, the model carries out temperature preliminary reconstruction on original space area temperature data through a Unet neural network, and sea surface temperature features are extracted through a Mama neural network; correcting the preliminarily reconstructed temperature data through sea surface temperature features to obtain high-spatial-resolution temperature data; and finally, obtaining high-spatial-resolution sound velocity distribution data through a sound velocity distribution calculation module. According to the method, the underwater temperature and the sea surface temperature are subjected to data fusion, so that the sound velocity distribution of the whole space area is quickly and accurately forecasted under the condition of original low-spatial-resolution data, and the problem of insufficient spatial resolution of ocean sound velocity distribution estimation is solved.

The invention provides an underwater plosive sound analysis method and device, and relates to the technical field of underwater noise analysis, and the method comprises the steps: obtaining a plurality of sound wave signals received by a monitoring point; respectively analyzing the actual propagation time and the actual signal intensity of each sound wave signal; based on a preset sound velocity profile model, calculating sound wave propagation velocities of different depths of a preset water area; performing prediction path analysis based on the sound wave propagation speed to obtain a plurality of prediction paths; according to the actual propagation time and the actual signal intensity, performing propagation time matching and signal intensity matching on the plurality of prediction paths, and determining a target prediction path; based on the target prediction path, performing blasting source position calculation to obtain a predicted blasting source position; and if it is judged that the predicted blasting source position is consistent with the preset blasting source position, determining that the target predicted path is a blasting sound propagation path. According to the method, the propagation path of the underwater plosive sound can be analyzed.

Embodiments of the present disclosure provide a method for calibrating a sound velocity applied to a multi-layer variable thickness structure, comprising: constructing a planar multi-layer medium stacked structure and determining a sound velocity of each layer of medium material in the planar multi-layer medium stacked structure; establishing a curved multi-layer medium stacked structure, the curved multi-layer medium stacked structure being arranged with a plurality of discrete elements; at the same time, establishing a fluctuation equation for determining a sound pressure value of each of the plurality of discrete elements; establishing a loss function between the sound pressure value of each discrete element calculated by the fluctuation equation and a measured sound pressure value of each discrete element; performing a gradient descent calculation on the sound pressure value of each discrete element based on the loss function, iteratively updating to obtain a sound velocity value being used as a weighting parameter in the plurality of discrete elements until a minimum value of the loss function is obtained, wherein the sound velocity value is an optimal speed value.

The invention belongs to the technical field of blasting vibration prediction, and particularly discloses a blasting vibration speed attenuation law prediction method based on regression analysis, and the method comprises the steps: laying monitoring points in multiple directions around a blasting source, synchronously collecting the geological parameters and mass point peak vibration speed of each point, and constructing a segmented propagation path; a single dominant propagation section is identified based on adjacent monitoring point data, independent influence of specific geological conditions on vibration attenuation is quantified by combining single-factor control regression analysis, decoupling modeling of geological factors and attenuation behaviors is realized, and meanwhile, a double-factor dominant propagation section is identified on the basis of quantizing the independent influence of the single geological conditions. And deducting a known effect through residual analysis to separate out an independent contribution of another geological parameter, and finally integrating a multi-factor influence function to construct a comprehensive attenuation model. Progressive modeling from single-factor decoupling to multi-factor collaboration is achieved, and the precision and physical interpretability of blasting vibration prediction in a complex heterogeneous stratum are remarkably improved.

The invention provides a spatial double-layer coil acoustic metamaterial structure for enhancing acoustic sensing, which relates to the technical field of acoustic sensing enhancing devices and comprises a bottom plate, an inner-layer Mie resonator and an outer-layer Mie resonator, and the inner-layer Mie resonator and the outer-layer Mie resonator are vertically arranged on the bottom plate. When sound waves are transmitted from outside to inside, the sound waves pass through the first channel and the second channel in sequence, the first channel and the second channel are arranged in a winding mode, the propagation distance and the propagation time of the sound waves are prolonged, the refractive index of the sound waves is improved, the sound waves in a specific frequency range are concentrated and amplified, and therefore weak signals in the sound waves are better extracted; compared with an existing gradient acoustic metamaterial, the Mie resonator is small in overall structure size, left-right translation of enhanced frequency can be achieved after the overall structure is scaled at equal proportion, the frequency enhancement range can be from 470 Hz to 1764 Hz, the amplitude of enhanced sound pressure is basically not changed, and the enhancement multiple is kept at about 24 times.

The invention provides a sound velocity measuring device and method, and the device comprises a main housing, a laser generator, a laser receiver, a sound production device, and a signal processor, and the signal processor stores the mapping relation between different sound velocities and calibration time in advance. The mapping relation is inquired according to the moment or phase of the acoustic signal generated by the sound production device and the moment or phase of the laser signal marked by the acoustic signal received by the laser receiver in the measurement environment, and the target sound velocity in the measurement environment is obtained. Complex physical mapping is changed into single mapping from time to sound velocity or from phase to sound velocity, the measurement parameter requirement is greatly simplified, the cost is reduced, the spanning property that a miniaturized measurement device measures the sound velocity at high precision is achieved, and the method is particularly suitable for measurement of the sound velocity in other complex environments such as the ocean.

The invention relates to the technical field of blasting, and discloses a special vibration monitoring device for blasting, which comprises a vibration monitor and a connecting line arranged on the vibration monitor, and further comprises a plurality of mounting parts, a plurality of connecting lines and a plurality of vibration monitoring devices, the number of the fixing parts is multiple, and the multiple fixing parts are all arranged on the vibration monitor; the number of the connecting parts is multiple, and the multiple connecting parts are all installed on the vibration monitor; and the mounting part comprises a connecting assembly. By arranging the mounting part, the problems that in the using process of an existing monitoring device, most traditional devices depend on bolts to be fixed, blasting sites are mostly complex carriers such as rock soil and concrete, and if the drilling depth is insufficient, the hole diameter is deviated or the bolts are affected by blasting impact vibration for a long time during bolt mounting, the bolts are prone to loosening, and the blasting effect is poor are solved. And a stable vibration transmission state is difficult to maintain.

The invention discloses a well hole sound wave speed obtaining method and device based on frequency domain analysis, and relates to the field of geophysical acoustic logging, and the method comprises the steps: obtaining an array waveform signal obtained by carrying out full wave train sound wave logging on a target layer section; performing Fourier transform on the array waveform signal to obtain a waveform frequency spectrum signal; extracting a noisy frequency dispersion signal from the waveform frequency spectrum signal, and carrying out noise reduction processing on the noisy frequency dispersion signal to obtain an effective frequency dispersion signal; and performing signal analysis processing on the effective frequency dispersion signal to obtain the well hole sound wave speed. According to the method, real-time acquisition of the stratum sound velocity can be realized while the acoustic logging data is acquired, the accuracy and stability of sound velocity acquisition are improved, the problems that a traditional frequency domain processing method needs manual interaction, the processing efficiency is low and the like are solved, and the problems that a sound velocity processing result is inaccurate and unstable are solved; and the defects of a time domain sound velocity real-time processing method are overcome.

The invention belongs to the technical field of ocean exploration, and particularly relates to a deep-sea underwater sound propagation loss prediction method based on deep learning, and the method comprises the steps: obtaining a one-dimensional sound velocity profile; preprocessing the one-dimensional sound velocity profile to obtain a two-dimensional velocity model, and converting the two-dimensional velocity model into spatial-temporal characteristic data with position codes; calculating correlation between the spatial-temporal characteristic data by adopting an attention mechanism to obtain first outputs of a plurality of parallel attention heads, fusing the first outputs, and performing characteristic mapping to form a second output; performing convolution dimension reduction operation on the second output feature to obtain a dimension reduction feature; performing channel weighted fusion on the dimension reduction features and the sound source information; and mapping the dimension reduction features back to the two-dimensional space information features, combining the two-dimensional space information features with sound source information by using convolution and transpose convolution in a cross manner, and performing convolution on the combined features to output underwater sound propagation loss distribution. Key details such as interference fringes of propagation loss can be accurately predicted, and the method is suitable for a complex deep-sea waveguide environment.

The invention provides a sparse Bayesian learning-based matched broadband modal phase velocity inversion earth sound parameter method and system, and the method comprises the steps: extracting a local mode through employing a receiving signal of a vertical array, and removing the narrowband limitation of block sparse Bayesian; the broadband modal phase velocity is used for matching inversion of the earth sound parameters, and decoupling of the earth sound parameters is achieved. The method has the advantages that seabed parameters do not need to be known priori, the depth range of the extraction mode is not limited by the aperture of the VLA, and the method can be applied to a non-uniform vertical array; when the earth sound parameters are inversed, the earth sound parameters are not influenced by the terrain on the propagation path, and the earth sound parameters of any terrain can be inversed; known sound source position information is not needed, and the problem of inaccurate inversion result caused by inaccurate sound source position is avoided; and meanwhile, multi-distance sound source signals are used for inversion, so that the inversion of the earth sound parameters is more robust and accurate.

The invention discloses an ocean sound velocity field prediction method and system, and relates to the technical field of data processing, and the method comprises the steps: carrying out the quantitative diagnosis of key driving factors affecting the evolution of an ocean sound velocity field of a target sea area from the ocean environment data, and building a causal network diagram based on the information flow of the key driving factors and a structural equation model, obtaining a core feature set; the ocean sound velocity field sequence data in the core feature set are decomposed into data in a space-time coherent mode through dynamic mode decomposition, and then the data are mapped into low-dimensional space-time features; learning the evolution dynamic state of the ocean sound velocity field according to the low-dimensional spatial-temporal characteristics by using a KAN network, and outputting an ocean sound velocity field prediction result at a future moment; future guide learning is used in the training stage of the KAN network, and real observation data in future set time is used as an auxiliary supervision signal; and using a dynamic feedback mechanism to calibrate the ocean sound velocity field prediction result based on the real-time observation data in the online prediction stage. The accuracy of predicting the ocean sound velocity can be improved.

The invention provides a rock mass in-situ static elastic modulus inversion method and an anisotropic wave velocity testing device, and relates to the technical field of rock mass engineering, the method combines the convenience and high efficiency of a sound wave testing technology with the precision of a drilling elastic modulus testing technology, deeply excavates the connotation of data, and obtains the anisotropy wave velocity of the rock mass. According to the method, uncertainty and complex nonlinear correlation between two types of data are fully considered, a Gaussian process regression model is adopted for learning the data to obtain a prediction model, and full-hole interval inversion of the rock mass static elastic modulus under the complex geological condition can be achieved through the prediction model. The method can improve the accuracy and reliability of rock mass static elastic modulus testing, and has wide application prospects and important engineering value.

A device optionally includes a housing defining a cavity extending through the housing. The device includes, for example, a first sensing membrane having a first deflectable surface that deflects in response to a pressure wave and a second sensing membrane spaced from the first membrane having a second deflectable surface that deflects in response to a pressure wave and connected with the housing. A device includes a coupling positioned between the first membrane and the second membrane. The coupling is configured to transmit a representation of the deflection of one or more of the membranes. A device optionally includes a sensor in communication with one or more of the first membrane, the second membrane or the coupling.

The invention relates to the technical field of ocean monitoring, and particularly discloses a transducer array-based seabed sound velocity gradient in-situ measurement device, which comprises a transducer array unit, a depth adjusting unit, a transmitting and receiving control unit and a data processing unit, the transducer array unit comprises a plurality of transmitting transducers and a plurality of receiving transducers, the plurality of transmitting transducers form a transmitting array, the plurality of receiving transducers form a receiving array, and the opening angles of the transducers in the transmitting array and the receiving array are set to ensure that the plurality of receiving transducers can receive signals from the transmitting array. A protective shell is arranged outside the transmitting array and the receiving array, and the strength of the protective shell is enough to ensure that the protective shell can penetrate into seabed sediments with various hardness degrees; the depth adjusting unit is respectively connected with the protective shells of the transmitting array and the receiving array; by adopting the technical scheme of the invention, fine measurement of the acoustic characteristics of the seabed shallow sedimentary layer can be realized.

This application provides a two-dimensional vector microphone, including: a wafer, a first pickup structure, and a second pickup structure; the first pickup structure and the second pickup structure are respectively disposed on opposite sides of the wafer in the thickness direction, or the first pickup structure and the second pickup structure are disposed on the same side of the wafer in the thickness direction. The first pickup structure extends along a first direction, and the second pickup structure extends along a second direction. The first direction and the second direction are orthogonal. The first pickup structure includes at least two parallel thermal resistance lines, and the second pickup structure includes at least two parallel thermal resistance lines. This application provides a two-dimensional vector microphone with good two-dimensional sound pickup effect.

The invention discloses a sea surface parameter sound velocity profile inversion method based on a double-layer self-organizing neural network, and the method comprises the steps: S1, collecting remote sensing parameters of a sea surface parameter inversion sound velocity profile, constructing training samples, and carrying out the clustering of the training samples through the self-organizing neural network; s2, generalizing the self-organizing neural network according to the clustered training samples; s3, neurons generated by generalization of the self-organizing neural network are matched with incomplete neurons, and the most matched neurons corresponding to the sound velocity profile to be inversed are determined; and S4, the sound velocity profile coefficient in the most matched neuron is taken out, orthogonal empirical function reconstruction is carried out, and a sound velocity profile inversion result is obtained. According to the method, the self-organizing neural network with a double-layer structure is constructed, clustering and generalization functions are realized at the same time, the technical bottleneck of grid division can be effectively solved in the field of sea surface parameter inversion of the sound velocity profile, and the inversion precision is improved.

The invention relates to a material sound velocity measurement method based on an envelope cross-correlation algorithm, relates to the technical field of automatic detection, and solves the technical problem of serious waveform distortion interference in sound velocity measurement of an internal non-uniform material in the prior art. The method comprises the following steps: initialization setting and reference acquisition; performing point-by-point scanning on the current scanning surface of the tested sample to obtain sample echoes; drawing a sound velocity distribution diagram of the current scanning surface of the tested sample; rotating the sample to be measured and continuously measuring until the detection of the three orthogonal surfaces is completed; the average sound velocity of the tested sample is obtained. By applying the material sound velocity measurement method, scattering attenuation and frequency dispersion effect interference caused by material anisotropy can be eliminated, a period jump error caused by carrier phase ambiguity is reduced, the signal-to-noise ratio of a detection signal is effectively improved, automation and high repeatability of sound velocity measurement are achieved, and the measurement accuracy is improved. And the recognition accuracy of the small sound velocity difference is improved.

A device may include a payload comprising: a touchless ultrasonic (UT) sensor mounted to a sensor holder; and the sensor holder comprising a bottom surface, and two rollers coupled to the sensor holder and extending, at rest, below the bottom surface. A device may include a rastering device configured to selectively move the payload along an inspection surface in an inspection direction. A device may include the inspection robot configured to move on the inspection surface in a traversal direction.

The invention provides a sound velocity calculation method and system based on a pulse tube experiment, and relates to the technical field of sound velocity measurement, and the method comprises the steps: obtaining a first complex reflection coefficient of a tested sample under an air backing and a second complex reflection coefficient of the tested sample under a rigid backing through the pulse tube experiment; based on the first complex reflection coefficient and the second complex reflection coefficient, a real part and an imaginary part of a calculation result are obtained through combination; obtaining the density of water, the sound velocity and the frequency in the water, the density of the tested sample and the thickness of the tested sample, and calculating to obtain a constant term; and according to the thickness, the real part, the imaginary part, the constant term and the frequency of the tested sample, calculating the sound velocity and the attenuation coefficient of the tested sample. According to the method, the technical problems of unstable numerical value, low calculation efficiency and inaccurate result caused by difficulty in solving a transcendental equation in sound velocity calculation of an existing pulse tube experimental method are solved.

The invention discloses a fracturing-based water hammer wave velocity inversion method, a readable storage medium and a fracturing-based water hammer wave velocity inversion device, and belongs to the technical field of fracturing. Performing noise reduction processing to obtain a noise reduction signal; converting the noise reduction signal to a reverse frequency domain; establishing a relationship between the cepstrum amplitude and the liquid inlet response time, generating a two-dimensional curve graph, identifying a peak point, and correspondingly obtaining the liquid inlet response time; designing a water hammer wave velocity value, and converting to obtain a liquid inlet depth value; and solving the minimum value of the difference sum between the liquid inlet depth value and the designed depth value. The readable storage medium stores the method. The device is provided with a computer program for storing and executing the method. According to the method, the water hammer wave velocity can be effectively determined under the conditions that the bridge plug slides and the actual bridge plug position is not matched with the designed bridge plug position, the liquid inlet position of the fracturing liquid is promoted to be better matched with the designed perforation position, then fracturing liquid inlet point recognition is guided, a fracturing construction scheme is optimized, and the fracturing transformation effect is improved.

The present invention relates to the field of ultrasonic measurement technology, specifically a sound velocity calculation method based on ultrasonic measurement and an ultrasonic water meter. This sound velocity calculation method, applied to ultrasonic water meters, establishes a common model with multiple piecewise functions based on different temperature ranges to estimate the ultrasonic pulse sound velocity within the set temperature ranges. A single-meter correction model is then established to correct the common model with multiple piecewise functions. The ultrasonic water meter employs this sound velocity calculation method. The present invention has a rational design, facilitates inference and acquisition of sound velocity values, and improves the accuracy of sound velocity estimation.

The invention relates to the technical field of college physics experiment devices, and discloses a liquid sound velocity and viscosity coefficient measurement comprehensive experiment instrument, which comprises a test bed, a cylindrical container, a timing automatic release device, an ultrahigh frequency ultrasonic transmitting and receiving integrated probe, an ultrasonic reflection circular plate, a reflection circular plate height control rod and a host, the timed automatic release device further comprises a small ball container, a falling ball funnel and a timed pusher; an ultrahigh-frequency ultrasonic transceiving integrated probe is mounted in the center of the inner bottom surface of the cylindrical container; the reflection circular plate height control rod can vertically penetrate through the ball falling funnel and is detachably connected with the ultrasonic reflection circular plate at the lower side rod end of the control rod. According to the invention, not only can the propagation velocity of ultrasonic waves in liquid be measured by using a reflection method, but also the viscosity coefficient of the liquid can be measured by using a falling ball method, and compared with an original instrument adopting a photoelectric door timing method, the operation is simpler and more convenient, and the experiment success rate is greatly improved.

The invention discloses an empirical sound velocity error modeling compensation method based on a neural network, which belongs to the technical field of ocean observation data processing, is used for sound velocity error modeling compensation, and comprises the following steps: carrying out data alignment on observation data of CTD and SVP; comparing and analyzing the difference between the sound velocity value calculated by the CTD through an empirical formula and the sound velocity value directly measured by the SVP, and evaluating the correlation through a Pearson's correlation coefficient; constructing a nonlinear regression model by adopting a machine learning algorithm, and continuously optimizing model parameters; establishing a model evaluation index to evaluate the compensated sound velocity precision; machine learning setting parameters are fed back and corrected, and the compensation model is continuously optimized. Compared with the prior art, the method has the advantages that the accuracy of CTD sound velocity calculation is improved, and the established mathematical model has universality and expandability and can be adjusted and optimized according to different sea areas and different measurement conditions; the marine observation cost can be reduced, and the utilization efficiency of the marine observation data can be improved.

The invention relates to a method and a system for measuring a sound source by measuring sound at a plurality of discrete measurement locations. AUGMENTED REALITY is used in that a camera scans a physical reference mark arranged in space relative to a source; the processing software generates a surface grid forming the measurement surface in the coordinate system and determines a measurement position to be occupied in a real three-dimensional space with reference to the reference mark such that the measurement position lies on the surface grid, the processing software also generates a virtual mark, and the virtual mark is located on the reference mark. And displaying the virtual indicia on a transparent display of a glasses-type presentation device such that the geometric position of the indicia in real space is fixed with reference to a reference mark and is independent of the orientation of the display. Subsequently, during the display of the indicia, sound measurement probes, which are visible through the display, are sequentially manually guided to the location of each virtual indicia, and sound intensity measurements are then performed there, respectively.