544 results about "Acoustic speed" patented technology

The invention relates to the technical field of bolt tightening, and provides an intelligent bolt tightening control method and system based on axial force measurement. Comprising the steps of collecting bolt identification and process parameter data, collecting temperature measurement data, and obtaining sound velocity compensation parameters and elastic modulus compensation parameters. And zero-load preloading data are collected and processed to generate zero-load baseline data, and a self-calibration model is obtained. Axial force data and ultrasonic echo data are collected, and an axial force fusion estimation result is obtained. And comparing an axial force fusion estimation result with target axial force data. And when in the target interval, fine twisting control is carried out based on model predictive control and a micro-stepping strategy, and the controllable damping unit is driven to carry out energy absorption and stopping. And acquiring an axial force fusion estimation result when the target axial force is reached, processing the data in the holding stage to obtain an axial force rebound check result, and if the axial force rebound check result exceeds the limit, performing secondary twisting control. According to the scheme, refinement and traceability of the bolt tightening process are achieved.

The invention relates to the technical field of material mechanical property testing, in particular to a method for measuring residual stress of a metal component. According to the technical scheme, the method for measuring the residual stress of the metal component comprises a working process for measuring the residual stress of the metal component; according to the method, a technical path of multi-modal data assimilation is adopted, and a mechanical release mechanism of a drilling method and an ultrasonic stress measurement technology are deeply fused to calibrate and correct mass sound velocity data obtained by carrying out rapid ultrasonic scanning on the whole component on site, so that the precise measurement of the residual stress state of the metal component is realized, and the measurement precision is improved. According to the method, data authority and high credibility of a drilling method in a key area are reserved, the advantages of high efficiency and wide coverage of full-field measurement of an ultrasonic method are brought into full play, and efficient and accurate stress information is provided on the premise that components are not excessively damaged.

The invention relates to an ultrasonic phased array full-focusing imaging method for acoustic wave multi-path propagation compensation of a layered composite material, which is characterized by comprising the following steps of: arranging an ultrasonic phased array probe with N array elements on a composite material piece to be detected, obtaining complete echo data by taking each array element as a transmitting array element and taking all array elements as receiving array elements in sequence in a full-matrix acquisition mode; a two-dimensional pixel grid is established in an imaging area, a Monte-Carlo perturbation mechanism used for representing the acoustic wave propagation uncertainty in the layered composite material is introduced into a propagation model for each emission array element-receiving array element-pixel point combination, and the acoustic beam emission direction, the propagation path and the equivalent acoustic velocity are subjected to random perturbation, so that the acoustic wave propagation uncertainty in the layered composite material can be represented. Generating a plurality of equivalent sound wave propagation paths, calculating two-way propagation time of each path, and performing weighted statistics on energy contributions of different paths according to array element sound beam directivity to obtain equivalent propagation time delays of pixel points; and performing delay correction on a full-matrix echo signal by using the equivalent propagation time delay, and performing coherent superposition on signals of all transmitting-receiving array element combinations to realize dynamic focusing of a full-pixel grid, and finally reconstructing an ultrasonic full-focusing imaging image with high resolution and high signal-to-noise ratio. The time delay error caused by propagation path deviation and sound velocity non-uniformity in the layered composite material can be effectively compensated, the focusing precision and spatial resolution of full-focusing imaging are improved, meanwhile, an existing TFM imaging frame does not need to be changed, and the method has good engineering implementability and popularization and application value.

The invention discloses a wind turbine generator blade damage judgment method and detection system based on voiceprint detection, and belongs to the technical field of wind turbine generator blade detection. The damage judgment method comprises the following steps: acquiring environmental parameters of a wind power plant, and establishing a sound velocity correction model based on the environmental parameters; acquiring a blade resonance sound signal, and correcting the blade resonance sound signal based on the sound velocity correction model to obtain a blade resonance sound signal with a high signal-to-noise ratio; performing FFT spectrum analysis on the blade resonance sound signal with the high signal-to-noise ratio, identifying the peak position of the first three-order natural resonance frequency of the blade, and performing analysis to obtain the current modal frequency, damping ratio and sub-band energy distribution entropy value of the blade; historical baselines of the modal frequency, the damping ratio and the sub-band energy distribution entropy of the blade in the healthy state are obtained, and the modal frequency offset, the damping ratio change rate and the acoustic impedance spectrum entropy of the blade are obtained; and wind turbine generator blade damage determination is carried out by using a high-precision time difference detection technology.

The invention discloses a self-adaptive ultrasonic measurement method and system based on multi-channel cooperation, and relates to the technical field of ultrasonic measurement. The method comprises the following steps: collecting original flight time signals of each channel; meanwhile, environment data are collected in real time; original flight time signals are processed, effective signal arrival pre-flight time is extracted, and a fusion data set is constructed; constructing a two-dimensional sound channel spectrogram based on the multi-sound channel time sequence of the pre-flight time, and performing feature extraction based on a lightweight convolutional neural network to generate an abnormal confidence vector; analyzing the sound channel state based on the abnormal confidence vector; constructing a physical information neural network, and analyzing the corrected sound velocity value of each sound channel and the two-dimensional sound velocity field distribution on the section of the whole pipeline; training an online sequence extreme learning machine model in combination with historical measurement data; and based on the final fusion weight of each sound channel and the corresponding sound channel flow velocity, carrying out weighted fusion to generate a flow velocity optimal estimation value. And the measurement precision and robustness are improved.

The invention provides an underwater positioning system based on effective sound velocity compensation and multipath equalization, which relates to the technical field of marine equipment and comprises an environment sensing and modeling module, a signal propagation characteristic analysis module, an intelligent signal processing and distance measuring module and a fusion positioning and quality evaluation module. The environment sensing and modeling module is used for constructing a dynamic three-dimensional sound velocity field and evaluating the reliability of the environment, the signal propagation characteristic analysis module is used for establishing a multi-path propagation model and extracting path characteristic parameters, and the intelligent signal processing and distance measuring module is used for suppressing multi-path interference and realizing high-precision distance measuring calculation. The fusion positioning and quality evaluation module is used for multi-source information fusion positioning and forming a quality feedback closed loop; the system can effectively cope with sound velocity temporal and spatial change and multipath interference in a complex marine environment, remarkably improves the precision, stability and robustness of underwater positioning of the underwater vehicle, and is suitable for the fields of deep sea detection, ocean engineering and the like.

The invention discloses a multi-medium three-dimensional flaw detection system based on ultrasonic pulse echoes. The multi-medium three-dimensional flaw detection system comprises a synchronous data acquisition module, a temperature compensation module, a multi-physical field simulation optimization module, a signal processing module and a three-dimensional imaging and output module, the synchronous data acquisition module scans an object, records coordinates and synchronously transmits and receives ultrasonic echoes; the temperature compensation module calculates real-time sound velocity according to the water temperature, the real-time sound velocity is used by the multi-physics field simulation module, and the multi-physics field simulation module simulates sound wave propagation and generates a defect-free theoretical waveform as a reference by combining intrinsic parameters of an object and sound wave propagation parameters; the signal processing module carries out processing and feature extraction on actually measured echoes, and compares the actually measured echoes with a reference to identify defect signals; and the three-dimensional imaging module associates the signals with the coordinates, a three-dimensional model is generated by adopting slice reconstruction and a compressed sensing algorithm, and defects are visualized, so that the precision, the efficiency and the environmental adaptability of three-dimensional flaw detection can be improved.

The invention relates to the technical field of underwater acoustic engineering and ocean exploration, in particular to a multi-channel underwater acoustic signal transmitting and measuring system and a signal processing method, which are used for solving the problems that the existing multi-channel underwater acoustic signal processing generally depends on fixed threshold detection or simple time sequence alignment, and the signal processing efficiency is low. The problem that residual vibration, local noise abrupt change or multipath reverberation is easily misjudged as an effective first arrival signal in a complex underwater environment due to the fact that the influence of the physical response characteristic of a transducer on emission time calibration is not considered and effective verification on whether a candidate arrival structure accords with a sound wave propagation physical rule is lacked is solved. According to the invention, a multi-channel energy time sequence and hydrophone space geometrical relationship is fused through an underwater sound propagation initial physical judgment module, a judgment mechanism is constructed based on distance-time consistency of sound propagation, and self-consistent verification is realized by combining a cross-channel arrival sequence and sound velocity constraint. And the accuracy, the robustness and the physical interpretability of the judgment of the effective launching time of the underwater sound are obviously improved.

The invention relates to the technical field of beam fusion, and discloses an irregular water area underwater topographic surveying and mapping method based on multi-beam fusion, which comprises the following steps: acquiring multi-voyage sounding data of a target irregular water area by using a multi-platform multi-beam sounding system such as a coastal patrol ship and an unmanned surveying ship, and performing sound velocity profile correction, attitude correction and tide level reduction to obtain a target irregular water area; unifying to the same space-time reference and plane rectangular coordinate system, and constructing an initial underwater terrain digital elevation model in an irregular water area range by adopting Gaussian weighted interpolation; defining an influence area by taking a hydraulic structure as a center, decomposing a local terrain into a background terrain and a scouring residual error, performing polar coordinate conversion and angular terrain spectrum analysis in the influence area, and calculating an axisymmetric form dominance index of the scouring pit; and constructing a topographic form shaping factor based on the axisymmetric form dominance index of the scouring pit, the maximum scouring depth and the influence radius, performing frequency domain modulation on the Fourier coefficient, and reconstructing the corrected local topography to obtain a final underwater topography DEM.

The invention relates to the technical field of underwater facility measurement, and provides an underwater facility defect geometric feature measurement method and system, a medium and equipment, and the method comprises the steps: calculating the actual sound velocity based on the water temperature, water pressure and salinity, correcting a sonar point cloud, calculating the sound velocity change rate, and adjusting the size of a filtering window, performing smooth filtering on the corrected sonar point cloud; for the surface image, calculating an image dark channel, after smoothing the dark channel image through scattering filtering, calculating transmissivity, fusing a scattering coefficient, removing surface image scattered light, and correcting the scattering coefficient through turbidity; based on the salinity and the water temperature, the underwater refraction angle of the laser is calculated, and the three-dimensional scanning point cloud is corrected; registering and fusing the point clouds to generate a facility surface point cloud model; based on the surface image, texture information of the facility surface is extracted, after the texture information is mapped to the facility surface point cloud model, a defect area is segmented, and geometric feature parameter extraction is carried out. And the detection reliability in a complex water area environment is improved.

The invention relates to the technical field of meteorological observation, in particular to a parameter measurement method and device based on a dual-band mode, equipment and a storage medium. Generating a dual-band excitation signal according to the aligned sine wave signal; analyzing the echo signal according to a preset gain coefficient, a time difference method and a preset attitude compensation formula to obtain a reconstructed quasi-unipolar pulse, an actual wind speed, a horizontal wind direction angle, a pitch angle, a three-dimensional wind speed vector, a roll angle and a real wind direction; acquiring real-time air pressure, and correcting a preset standard state sound velocity according to a preset sound velocity correction formula and the real-time air pressure to obtain a corrected sound velocity; according to the scheme, a dual-band signal attached to a medium is generated, after efficient transmission analysis, high-resolution pulses and multi-dimensional wind field parameters are obtained by means of gain, a time difference method, attitude compensation and the like, the sound velocity is corrected in combination with air pressure, comprehensive, accurate and rapid updating of data are considered, and the measurement reliability is improved.

The invention discloses a bolt axial force measurement method based on trailing waves and temperature compensation, and relates to the technical field of bolt axial force measurement. The influence of stress and temperature on the bolt length and ultrasonic sound velocity is analyzed, sound time variation of longitudinal waves and primary trailing waves under the action of stress and temperature is obtained, the longitudinal waves and the primary trailing waves are selected to serve as a wave type combination of bolt axial force measurement based on sensitivity analysis of sound waves on stress and temperature, and a sound elasticity principle is combined to measure the bolt axial force. Establishing a relation model of ultrasonic sound velocity, stress and temperature, and respectively calculating longitudinal wave sound time and primary trailing wave sound time considering the comprehensive influence of the stress and the temperature; and constructing a measurement characterization quantity of the bolt axial force based on longitudinal wave and primary trailing wave sound time, and performing temperature compensation on axial stress measurement to complete bolt axial force measurement. The axial force characterization quantity is constructed by measuring the sound time difference by utilizing the propagation information of the longitudinal wave and the primary trailing wave, and the axial force measurement requirement of the fastened bolt in the high-temperature environment is met.

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 low-frequency sound propagation loss forecasting method suitable for a polar region sea area, and the method comprises the steps: building a two-dimensional ice layer model of a forecast sea area according to remote sensing data based on the setting that sea ice of the polar region sea area is a uniform elastic medium; calculating hydrological conditions of the ocean sound channel of the polar sea area; establishing a forecast sea area two-dimensional seabed model according to the seabed topography sediment database; an under-ice sound field model is constructed based on a three-dimensional cylindrical coordinate system, sound pressure from unit intensity sound sources with different sizes and depths to a receiving point in a forecast sea area is calculated through a frequency domain finite element method in combination with a PML technology, and sound propagation loss of a needed position is obtained through calculation. According to the method, the application limitation of traditional ray and normal wave theories under complex boundary conditions is broken through through a finite element method, a synergistic effect mechanism of actual ice layer parameter space change, submarine topography fluctuation and sound velocity profile gradient characteristics is systematically analyzed, and sound field modeling is more accurately carried out on different ice layers and submarine topographies in the Chukong sea region all year round; the influence of sound wave propagation is simulated.

The invention discloses a method for non-intrusive detection of pipeline sediments through a sound wave array, and belongs to the technical field of sound wave detection. The invention discloses a method for non-intrusive detection of pipeline sediments by a sound wave array. The method comprises the following steps: step 1, mounting a plurality of sensor groups on a detected pipeline in sequence; 2, acquiring historical flow velocity data and historical sound velocity data of each detection point of the detected pipeline under the deposition-free working condition through a sensor group; and 3, monitoring the flow velocity data of each detection point in real time according to each sensor group, comparing the flow velocity data monitored in real time with historical flow velocity data, and judging the deposition state of each detection point. According to the invention, the sonic sensor arrays distributed along the circumferential direction and the axial direction of the pipeline are adopted, and synchronous, in-situ, non-intrusive and real-time high-precision measurement of the sediment thickness, the three-dimensional space distribution form and the medium flow velocity is realized on the premise that the operation of the pipeline is not interfered.

The invention discloses a seismic wave velocity model inversion method based on time-space coupling deep learning, and the method achieves a time-space coupling mechanism through a Fourier neural operator framework of a wavelet transform-attention mechanism, and supports the reconstruction of a spatial two-dimensional velocity model from a time sequence track of multiple seismic sources. Firstly, the local time-frequency representation of each seismic time-domain trajectory is extracted by adopting continuous wavelet transform, and then a wavelet time-frequency spectrogram is coded through a convolution feature extractor. Then, information from multiple sources is fused at each receiver point location through a multi-head attention mechanism, enhancing correlation between multiple sources. And finally, projecting the fused features into a two-dimensional Fourier neural operator to efficiently learn space mapping and reconstruct a bottom-layer velocity model based on sound velocity. According to the method, the time sequence characteristic and the spatial distribution characteristic of the seismic channel are fully utilized, the precision and robustness of an inversion result are improved, and a more reliable speed model is provided for geological structure interpretation and acoustic imaging.

The invention is suitable for the field of natural gas metering, and provides a natural gas volume flow correction method and system based on machine learning. For the natural gas to be measured, the gas volume flow rate under the working condition is firstly determined, and then the gas volume flow rate is corrected according to the gas pressure, temperature and compression factor under the working condition and the gas pressure and temperature under the standard condition, so that the ideal volume flow rate of the natural gas is obtained; therefore, the accuracy of natural gas energy calculation is improved. And the compression factor is determined according to the calorific value, the sound velocity value, the temperature under the working condition and the gas pressure of the natural gas, and the component information of the natural gas does not need to be determined, so that the problem that a traditional compression factor calculation method is difficult to apply due to the fact that the natural gas components cannot be directly determined by a physical property correlation technology is solved.

The invention relates to the technical field of soil physical parameter in-situ measurement, and discloses a soil layer natural water content portable intelligent measuring instrument based on multi-source sensing fusion, which comprises a composite probe assembly and an intelligent measurement and control host which are physically connected, the composite probe assembly is configured to be inserted into a soil layer to be tested to construct a multi-physical field test environment, and an electrical transceiving unit and an acoustic transceiving unit are integrated in the composite probe assembly. By constructing a cross physical field excitation and multiphase parameter collaborative decoupling mechanism, a multidimensional dynamic correlation model is established by using the thermosensitive drift characteristic of the sound velocity of a mixed medium during thermal disturbance and the transient step response of a dielectric constant under an acoustic radiation force field; the problems that the coupling influence of the water content and the volume weight cannot be distinguished and the conductivity of bound water and the conductivity of free water are difficult to separate in a traditional means are effectively solved, and four independent physical quantities including the volumetric water content, the in-situ dry volume weight, the bound water content and the actual conductivity of pore water are synchronously inverted through a single probe. And the decoupling precision of the equipment on complex multi-phase soil medium parameters is improved.

The invention provides an intelligent temperature control method and system for relieving stress of a glass annealing kiln. The method comprises the following steps: transmitting acoustic surface waves through a distributed sonic sensor to collect stress propagation data in glass, decoupling coupling characteristics of sound velocity and temperature, extracting a relaxation time constant, and generating a stress relaxation rate; performing time difference cross-correlation analysis to construct a stress propagation three-dimensional gradient field, establishing an incidence relation between the relaxation rate and the gradient field, and constructing a mapping strategy of the temperature set value and the relaxation rate according to the incidence relation; generating a dynamic temperature adjusting parameter and converting the dynamic temperature adjusting parameter into a heater power control signal; and dynamically adjusting a stress data feature extraction rule to match a real-time stress state according to the relevance between the gradient field update frequency and the temperature adjustment rate. According to the application, dynamic mutual optimization of the annealing stress elimination efficiency and the kiln temperature setting precision is realized, the glass residual stress is reduced, and the hidden danger of plate explosion is eliminated.

The invention relates to the field of electronic component preparation processes, in particular to a high-performance temperature compensation surface acoustic wave filter and a manufacturing method thereof. An interdigital transducer, wherein the interdigital transducer is located at one side of the piezoelectric substrate; the transition layer is located on the side, away from the piezoelectric substrate, of the interdigital transducer, and the transition layer covers the interdigital transducer and prevents metal elements of the interdigital transducer from diffusing outwards; the functional layer is located on the side, away from the interdigital transducer, of the transition layer, the functional layer covers an active area of a metal finger strip of the interdigital transducer to form a high-sound-velocity area, the end, away from the active area, of the metal finger strip of the interdigital transducer forms a low-sound-velocity area, and a sound velocity difference is formed between the high-sound-velocity area and the low-sound-velocity area; therefore, transverse mode clutters are suppressed; the temperature compensation layer is located on the side, away from the transition layer, of the functional layer, and the temperature compensation layer covers the functional layer and the piezoelectric substrate; lateral mode clutters in TC-SAW are suppressed, and metal diffusion is suppressed at the same time.

An acoustic wave device includes a support substrate, a first high acoustic velocity film on the support substrate, a low acoustic velocity film on the first high acoustic velocity film, a second high acoustic velocity film on the low acoustic velocity film, a piezoelectric layer on the second high acoustic velocity film, and an IDT on the piezoelectric layer. Bulk waves propagate in the low acoustic velocity film more slowly than bulk waves propagate in the piezoelectric layer, bulk waves propagate in the first high acoustic velocity film faster than acoustic waves propagate on the piezoelectric layer, and bulk waves propagate in the second high acoustic velocity film faster than or as fast as bulk waves propagate in the first high acoustic velocity film.

The invention discloses an intelligent pile foundation integrity diagnosis model and integrated system based on an ultrasonic transmission method, and relates to the technical field of pile foundation diagnos.The intelligent pile foundation integrity diagnosis model comprises a data acquisition module, a parameter feature calculation module, an intelligent judgment module and an integrity judgment module; the method has the advantages that the interpretation experience of experts is converted into a quantitative and repeatable calculation process by establishing a systematic and multi-level mathematical model and judgment logic, the subjectivity of manual interpretation is thoroughly eliminated, the three core parameters of the sound velocity, the amplitude and the energy are comprehensively utilized, and the interpretation accuracy is improved. And scientific degradation rules and continuity analysis are introduced, so that the recognition accuracy of various pile body defects, especially complex defects, is greatly improved, small distortion is captured, a sudden change area is locked by sound velocity change slope analysis, the accuracy of defect positioning and degree judgment is greatly improved, the detection results under different scenes have a unified standard, and the method is suitable for large-scale popularization and application. And the judgment objectivity and authority are enhanced.

The invention discloses metering equipment and a method for metering gas flow by using an ultrasonic sound velocity difference principle, and the method comprises the following steps: rectifying gas flow in a pipeline by using a rectifier assembly to stabilize a flow field, and then measuring the ultrasonic sound velocity difference of forward and reverse propagation of the gas flow by using an ultrasonic sensor in a sensing assembly; the detected pulse signals are transmitted to the intelligent flow totalizer assembly for operation, and the actual flow velocity and flow of the gas are obtained; a pressure sensor and a temperature sensor in the sensing assembly respectively collect a pressure signal and a temperature signal of gas in the pipeline, and synchronously transmit the collected pressure signal and temperature signal to the intelligent flow totalizer assembly; and after receiving the pressure and temperature signals, the intelligent flow totalizer assembly performs temperature and pressure compensation operation in combination with actual flow velocity and flow data of the gas to finally obtain the flow velocity and flow of the gas under the standard condition. The problems of low measurement precision and large pressure loss in the traditional technology are solved.

The invention provides a three-dimensional-TDOA positioning method based on distributed microphone array cooperative positioning, and relates to the technical field of TDOA positioning, and the method comprises the steps: constructing a self-adaptive dynamic microphone array; a quantum entangled state sensor is introduced into a microphone node signal acquisition front end, and the arrival time difference of a target signal is measured; constructing a deep learning model, predicting sound velocity change according to environmental factors, and dynamically adjusting a sound velocity value in TDOA measurement; the microphone array node optimizes a positioning strategy through a reinforcement learning algorithm according to self measurement data and interaction information with other nodes; fusing the data, and based on fusion result data, executing a TDOA estimation improved algorithm; based on a TDOA calculation result, performing three-dimensional space search by adopting a quantum annealing algorithm to solve an optimal position of the target; and multi-source information is fused to add constraint conditions for a positioning algorithm, and a positioning result is optimized. According to the method, sub-centimeter-level positioning precision can be realized, and application scenes with extremely high positioning precision requirements are met.

The invention relates to a device and method for evaluating the uniformity of foam concrete, and belongs to the technical field of concrete.The method comprises the steps that a concrete test piece is formed through a cubic mold; uniformly dividing the upper surface of the concrete test piece into a plurality of sections, placing an ultrasonic scanning unit on each section of the concrete test piece for ultrasonic detection in sequence, recording the sound velocity of each measuring line, and calculating to obtain the average sound velocity Vk of each section; calculating a homogeneity coefficient lambda; and when the uniformity coefficient lambda is smaller than a uniformity coefficient threshold value specified by the corresponding density, determining that the uniformity of the concrete is qualified, otherwise, determining that the concrete is unqualified. According to the method, pores in the concrete are rapidly positioned by using an ultrasonic detection technology, the uniformity of the foam concrete is judged through discreteness of the acoustic velocity, and the method has the advantages of reliable detection result, simplicity and convenience in operation and the like.

The invention discloses a quantitative evaluation model and system for underwater sonar detection efficiency by mesoscale vortexes, and belongs to the technical field of marine acoustic detection. The method comprises the following steps: acquiring marine environment data; identifying vortex types (cold vortex / warm vortex / mixed vortex), positions, radiuses R and amplitudes A based on a velocity gradient method of optimized parameters and a deep learning model; utilizing an ROMS numerical mode to simulate a vortex three-dimensional thermohaline structure; generating a sound velocity disturbance coefficient in combination with a Wilson sound velocity model and the vortex amplitude A; calculating propagation loss PL (z) through a Bellhop sound field model; an acoustic detection efficiency index ADEI is constructed; and outputting the detection probability matrix. According to the method, the technical bottleneck that a traditional model cannot dynamically couple the vortex acoustic effect and the detection probability is solved, full-process automatic evaluation is realized, and a sonar deployment strategy is remarkably optimized.

The invention relates to the technical field of flow measurement, in particular to a flow measurement deviation correction method and system based on multi-component gas mixing change. Comprising the following steps: acquiring actually measured sound velocity and temperature-pressure parameters by using an intelligent sensor; constructing a virtual component perception model, and inverting the instantaneous concentration ratio of each component in real time by using sound velocity and physical property association; the theoretical sound velocity reference value is dynamically corrected, the signal detection deviation is compensated, and the corrected operation volume flow is output; the component proportion is input into a state equation calculation engine, and a compression factor and real-time density are solved; finally, energy flow is output in combination with unit volume calorific value. Through second-level component inversion and physical property dynamic compensation, the problems of measurement response lag and precision reduction under the component fluctuation working condition are solved.

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.

The invention relates to the technical field of industrial process control and fluid dynamic measurement, and discloses a high-precision liquid flow detection method based on a sensor. The method comprises the following steps: arranging a sensor, initializing a measurement section, receiving an ultrasonic signal, extracting a phase difference updated along with time, executing two-point temperature calibration, converting liquid temperature and correcting sound velocity, and obtaining static propagation time delay and a theoretical phase; constructing a net phase difference, inverting an axial instantaneous flow velocity according to a propagation difference, and applying non-negative and upper bound constraints; collecting pressure fluctuation to estimate a turbulence equivalent speed and superposing the turbulence equivalent speed with the main speed; calculating the volume flow according to the cross section area and accumulating the volume; phase anomaly, temperature rate and pressure peak detection is carried out, and substitution, recalculation and interpolation are adopted respectively; and counting and normalizing the maximum values of the speed and the flow, and outputting the speed, the flow, the accumulated volume and a normalized curve.

The invention relates to a multi-source intelligent combined pose measurement method for a floating hydrophone array, and the method comprises the following steps: 1, obtaining the pose information of each node of the hydrophone array through a multi-source sensing module, and synchronously receiving sound signals and extracting the TDOA information of each node under the condition that the sound source position is known; step 2, constructing a measurement equation based on TDOA information, and performing inverse solution on the position of each node of the hydrophone array in combination with a hyperbolic positioning principle and a sound velocity model; according to the method, an inverse solution positioning mode of'known sound source position and inverse solution of receiving array node position 'is adopted, a flexible underwater acoustic array dynamic measurement scene under the traction of a floating platform is specially aimed at, the technical limitation that traditional TDOA and USBL positioning depends on a fixed geometric structure is broken through, the method does not need to arrange a plurality of reference receiver arrays, and the positioning accuracy is improved. And a high-precision synchronous clock system is not needed, and high-precision acoustic positioning can be realized only by depending on a single sound source and the distributed nodes, so that the system complexity and the field deployment cost are remarkably reduced.