210results about "Velocity propogation" patented technology

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 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 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 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 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.

The utility model provides an underwater connection protection device for a surface acoustic velocity meter, and relates to the technical field of acoustic velocity meters, the underwater connection protection device comprises a mounting vertical shaft and a fixed pipe seat, the mounting vertical shaft is fixedly mounted on a ship fairing outer plate, the fixed pipe seat is slidably mounted in the middle of the inner side of the mounting vertical shaft, and a nut is arranged in the middle of the top end of the mounting vertical shaft; a traction assembly is arranged between the nut and the fixed pipe base and comprises two sets of steel wire pull ropes, the tops of the two sets of steel wire pull ropes are connected with upper connecting rings respectively, the two sets of upper connecting rings are fixedly installed at the two ends of the inner side of the nut respectively, and the middles of the bottom ends of the two sets of steel wire pull ropes are connected with lower connecting rings respectively. According to the utility model, the fixed pipe seat and the mounting vertical shaft are arranged, so that the safety and the stability of the sound velocity instrument in the use process are effectively improved; and meanwhile, the traction assembly is arranged, so that a worker can lift and disassemble the sound velocity instrument from seawater conveniently, and convenience is provided for the worker to maintain the sound velocity instrument.

Systems and methods of object classification at point of sale are provided. In one exemplary embodiment, a method is performed by a POS system having processing circuitry operationally coupled to a transducer operable to radiate a pressure wave and a sensor operable to sense a pressure wave. Further, the transducer and the sensor are positioned on or about the POS system so that a field of radiation of the transducer and a field of detection of the sensor are directed towards a certain region of the POS system. The method includes receiving, from the sensor, a reflected signal that represents a pressure wave radiated by the transducer that is reflected from a surface of an object when in or about the certain region of the POS system so that the object can be classified as at least one of a set of object types based on the reflected signal.

The present invention discloses a method and an apparatus for acquiring motion information. A frequency domain transformation is performed on a detection signal of a vibration propagating in a medium to obtain a frequency domain signal, then a signal that is outside of a defined vibration velocity range is removed from the frequency domain signal, that is, only a vibration signal is retained, and then a position-time diagram is obtained along a defined vibration propagation direction. It is not necessary to perform motion estimation on propagation of the vibration by a complicated calculation, and it is only necessary to determine the presence or absence of the vibration by processing in the frequency domain, and then the position-time diagram is obtained, which is a highly efficient method for acquiring motion information.

The invention belongs to the technical field of underwater acoustic communication, and relates to an ocean sound velocity profile prediction method based on fusion weighted EOF-LSTM, and the method comprises the steps: constructing a historical sound velocity profile data matrix; based on the year difference and the month difference with the target year and month, obtaining a comprehensive time distance, and constructing a Gaussian weighting function; performing normalization processing, calculating a weighted average sound velocity profile, extracting a spatial change mode of the sound velocity profile, realizing dimension reduction and feature extraction, and calculating a principal component; constructing a time window sample by using the principal component time sequence; using LSTM network training to obtain a principal component prediction value, reconstructing a sound velocity profile, and obtaining a target year monthly sound velocity profile prediction value; and extracting a real sound velocity profile value of the target year, and performing error comparison with the predicted value. And a weighting function is constructed for the average sound velocity profile for weighting, an optimal time step length is searched for LSTM input data, an error is used as a reference iterative optimization weight parameter, and effective reduction of a prediction error is realized.

The invention discloses a fluid characteristic detection system and detection method based on a photonic crystal, and belongs to the technical field of fluid detection. The system comprises a signal generation device, a signal amplification device, a photonic crystal fluid characteristic detection device, a signal acquisition and processing module and an upper computer which are connected in sequence. Based on the system, the characteristic that efficient regulation and control of elastic waves are achieved through photonic crystal band gaps and defects is utilized, defect units are introduced into periodic photonic crystals, high-sensitivity and high-resolution detection of multiple parameters such as density, viscosity and salinity of fluid to be detected is achieved, and the system has the advantages of being wide in frequency regulation range, rich in data dimension and the like; meanwhile, a photonic crystal fluid characteristic detection device in the system has replaceability, the number of detection channels and photonic crystal structures can be selected in a targeted mode according to detection requirements, the detection efficiency is improved, and interference is reduced. The detection system and method disclosed by the invention can be used for detecting various characteristics of liquid and gas, are also applicable to gas-liquid mixed media, can be further integrated with other photoelectric and micro-fluidic technologies to form a multifunctional sensor, and are widely applied to the fields of biomedical treatment, environmental monitoring, chemical production and the like.

The invention discloses an underwater sound field rapid reconstruction method based on a semi-analytical ray acoustic model, which aims at the influence of a distance-dependent waveguide formed by non-uniform sound velocity and an uneven seabed surface on underwater sound field distribution, disperses a medium in a ray advancing process, and dynamically adjusts a stepping distance calculated by a sound velocity gradient so as to realize rapid reconstruction of an underwater sound field. The number of ray segments used for calculating the whole ray trajectory is remarkably reduced, the calculation efficiency of ray tracing is improved, and rapid sound field forecasting closer to the actual marine environment can be achieved.

To diagnose sound collection means used to specify an abnormal part from operating sound of an apparatus in a test after the sound collection means is attached to the apparatus and before the apparatus is activated.SOLUTION: A composite machine 10 has a text execution unit 32 for diagnosing a sensor for detecting an abnormal sound generated by the composite machine 10 in a test mode. The text execution unit 32 drives a motor related to the sensor and generates sound when the sensor is attached to the composite machine 10. The test execution unit 32 obtains a sound pressure and a frequency by analyzing sensor data output by sound collection of the sensor, diagnoses operation of the sensor on the basis of determination as to whether the sound pressure and the frequency agree to their respective reference data, and displays an instruction to remove an operational failure on an operation panel when the sensor is having an operational failure.SELECTED DRAWING: Figure 2

The utility model provides a support frame for a sound velocity profiler, and relates to the technical field of sound velocity profilers, the support frame comprises a sound velocity profiler body and a mounting frame, and the sound velocity profiler body is mounted in the middle of the inner side of the mounting frame; the two ends of the inner side of the mounting frame are both provided with balancing weights, the two sets of balancing weights are both fixedly mounted on the inner wall of the mounting frame, the two sets of balancing weights are arranged on the two sides of the outer surface of the sound velocity profiler body respectively, the side ends of the balancing weights are connected with clamping rings, and the clamping rings are used for clamping and fixing the sound velocity profiler body. According to the utility model, the two groups of balancing weights are mounted in the mounting frame to increase the balance weight, so that the sound velocity profiler body is lowered to the deep position of the seabed for detection work, and the gravity applied by the two groups of balancing weights can relieve the fluctuation of the sound velocity profiler body caused by the flowing of seawater; therefore, the stability and accuracy of the sound velocity profiler body during detection work in seawater are enhanced.

Pressure chambers and associated pressure sensors for mobile communication devices. Mobile communication devices and associated control systems are provided for determining the presence and location of pressure applied to the mobile communication device. The system can replace physical buttons on the mobile communication device. In embodiments, a sealed chamber, such as a tube, is filled with a pressure transmitting medium inside a sidewall of a frame of the mobile communication device. Two (or more) pressure sensors can be mounted to the chamber to measure the pressure at two different locations in the chamber. In one embodiment, the time difference of a pressure wave reaching between the pressure sensors can indicate the location of the applied force. By knowing where the force is applied, the desired command from the user can be inferred.

This invention discloses a method, system, and storage medium for extracting subsurface channel parameters based on layered recovery and step-by-step uplift. The method includes: preprocessing a sound velocity profile to form a standardized sound velocity profile; searching for candidate local minima; for each candidate local minima, searching for sound velocity sampling points that satisfy the stable recovery condition from the lowest qualified recovery layer upwards and downwards; if both sides exist and the waveguide thickness is greater than a preset thickness threshold, it is determined as a candidate subsurface channel; starting from the lowest qualified recovery layer, the target recovery layer is gradually increased, and the stable recovery determination is repeated until either side no longer satisfies the determination of the highest common recovery layer and the characteristic parameters are calculated; when there are multiple candidates, the output is selected according to the representativeness rule. This invention unifies the existence determination and parameter extraction under the physical constraints of bilateral stable recovery, solving the problems of easy interference and boundary instability in the prior art, and has the advantages of accurate identification and strong anti-interference ability.