52 results about "Sound speed profile" patented technology

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 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 relates to the technical field of underwater sound detection, in particular to a broadband sound source depth estimation method matched with a deep sea sound velocity profile, and the method comprises the steps: obtaining a frequency-vertical arrival angle spectrum for an underwater broadband sound source in a mode of carrying out broadband beam forming processing on a receiving sound field of a vertical linear array; analyzing the characteristics of the interference period of the frequency-vertical arrival angle spectrum by using a layered medium model, and establishing a corresponding relation between the interference period and the sound source depth; based on the corresponding relation between the interference period and the sound source depth, mapping the frequency-vertical arrival angle spectrum to a glancing angle-depth domain to form an ambiguity plane of the sound source depth; and based on the ambiguity plane, depth estimation of the underwater broadband sound source is realized. According to the method, accurate and rapid depth estimation of the underwater broadband sound source can still be realized at a long distance, and meanwhile, the method has good environmental adaptability.

The invention relates to a regional ocean sound propagation field millisecond-level prediction method based on a deep neural network, and the method comprises the steps: constructing two factors which have the greatest influence on a sound propagation field for a target region: a sound velocity profile and a terrain; an environment information data set of an area sound propagation field is constructed by constructing an annual sound velocity profile of a target area node and building a large number of two-dimensional terrain models by extending around the node by 360 degrees, and the sound propagation fields of the area under different environment conditions are calculated by using a traditional sound field calculation model to serve as a training set; feature simplification parameters of the sound velocity profile and the terrain in each environment sample are extracted to serve as guide information of a corresponding sound propagation field, and a deep neural network is built to learn distribution rules of the sound propagation fields under different environment conditions in the area; and finally, the trained model can quickly predict the corresponding sound propagation field in the region according to different environmental condition characteristic batches.

The present application relates to a kind of multi-sensor wideband sound source positioning method suitable for deep-sea reliable sound path environment, utilize the same sound source D-SR time delay measurement value observed by deep-sea large depth multi-sensor to carry out three-dimensional positioning to sound source.In the first stage, based on the position of each sensor, depth, observed D-SR time delay and water body sound velocity profile information, a matrix and a vector are constructed, there is a linear relationship between the two and the position of sound source, the least square method is used to solve this linear relationship, obtain the estimation result of the two-dimensional position of sound source, based on two-dimensional position estimation result, the depth estimation result of sound source is obtained using depth solution formula;In the second stage, based on the three-dimensional position of sound source estimated in the first stage, the D-SR time delay value of the position of each sensor is predicted, then an auxiliary variable matrix is constructed, and new sound source two-dimensional horizontal position estimation result is obtained according to the rule of auxiliary variable estimator (IVE), and finally the final sound source depth estimation result is obtained according to depth solution formula.

This invention discloses a sound velocity profile assimilation and inversion method and system based on dual physical data driving. The method includes: performing adaptive observation and sparse characterization of the sound propagation path to obtain the sparse characterization results; performing long-term noise cross-correlation calculation and passive time delay self-calibration to obtain the virtual sound source arrival time series after absolute time delay reference correction; performing constraint verification through a physical-data dual-driven, dual-stream coupled generative inversion network; acquiring a broadband electromagnetic response time series and performing cross-medium electromagnetic-acoustic joint inversion constraints to obtain a strongly constrained calibrated full-depth sound velocity profile; and performing ensemble Kalman filtering assimilation and uncertainty propagation based on POD order reduction. This invention can quantify the uncertainty of the inversion results. As a sound velocity profile assimilation and inversion method and system based on dual physical data driving, this invention can be widely applied in the field of underwater acoustic engineering technology.

The invention relates to the technical field of surveying and mapping positioning, in particular to a high-precision offset positioning sounding auxiliary system and a use method, and the system comprises a positioning sensing module, an attitude and offset measurement module, a sound velocity profile measurement module, a data processing unit, and a communication and storage module. And the data of the positioning sensing module, the attitude and offset measurement module and the sound velocity profile measurement module are transmitted to the data processing unit through the communication and storage module for fusion processing. The system is suitable for high-precision sounding scenes of complex water areas such as near banks, ports, channels, underwater obstacle dense areas and the like; the problem that the absolute coordinate precision of a depth point is insufficient due to multi-source errors in traditional depth sounding positioning is solved.

The invention discloses a sound velocity profile measuring device and method based on an offshore fixed platform, and belongs to the technical field of marine environment monitoring, the device comprises a hydrological winch, a self-tensioning winch and a central control unit which are arranged on the offshore fixed platform, and a steering wheel arranged on the seabed, the hydrological winch is connected with and controls the lifting stroke of the survey equipment through an optical cable integrated with an electric signal transmission function, the self-tensioning winch is connected to the survey equipment through a geological cable after passing through a seabed steering wheel, and the central control unit coordinates and controls the two winches to maintain constant set tension. According to the invention, through the strategy of cooperative operation of double winches and seabed steering anchoring, the problems of difficult cable path control, large tension fluctuation, unstable equipment attitude and the like when full-sea-depth profile measurement is carried out from a fixed platform are solved, high-reliability sound velocity profile observation is realized, and the quality of measured data is improved.

The invention relates to an integrated navigation precision improvement method based on fused hydrological information, which belongs to the technical field of inertial navigation, and comprises the following steps: S1, based on hydrological information of a target navigation sea area, calculating to obtain a sound velocity profile of the target navigation sea area and wave beam angles of each water layer of the target navigation sea area; s2, based on the sound velocity profile of the target navigation sea area and each water layer beam angle, obtaining a corrected Doppler measurement speed; s3, compensating the corrected Doppler measurement speed based on the beam incident angle after equivalent refraction to obtain a compensated Doppler measurement speed; and S4, fusing the compensated Doppler measurement speed with the inertial navigation speed to obtain a corrected navigation calculation result of the ship or the underwater vehicle. According to the invention, the hydrological environment data and the inertial navigation data are fused, so that the position precision and reliability of the ship or the underwater vehicle during long-time autonomous navigation are greatly improved.

This invention relates to the field of underwater acoustic positioning and topographic detection in marine environments, providing a rapid calculation method and system for the incident angle and propagation time of a direct sound ray between two points. The method includes: dividing seawater into layers based on a sound velocity profile; adaptively dividing the incident angle interval according to a preset comprehensive error threshold; calculating the horizontal displacement and propagation time of the sound ray corresponding to different incident angles; and constructing an interpolation coefficient table through third-order polynomial fitting; combining the piecewise displacement of the water depth intervals where the sound ray originates and terminates, obtaining the third-order polynomial fitting coefficients of the horizontal displacement with respect to the incident angle from the polynomial interpolation coefficient table, constructing a cubic equation with respect to the incident angle, solving it using the Cardano method, and iteratively obtaining the incident angle correction value according to a preset angle error threshold; calculating the propagation time; and finally outputting the incident angle and propagation time of the sound ray. This method replaces layer-by-layer calculation with interpolation modeling, achieving high accuracy, rapid convergence, and coefficient table reuse.

This invention relates to the field of beam fusion technology and discloses a method for underwater topography mapping of irregular waters based on multi-beam fusion. The method includes: acquiring multi-voyage bathymetry data of the target irregular waters using a multi-platform multi-beam bathymetry system such as a patrol vessel or unmanned survey vessel; after sound velocity profile correction, attitude correction, and tidal level calculation, unifying the data to the same spatiotemporal reference and Cartesian coordinate system; constructing an initial underwater topography digital elevation model within the irregular water area using Gaussian weighted interpolation; delineating the influence area centered on the hydraulic structure; decomposing the local topography into background topography and scour residual; performing polar coordinate transformation and angular topographic spectrum analysis within the influence area to calculate the axisymmetric morphological dominance index of the scour pit; constructing a topography shaping factor based on the axisymmetric morphological dominance index of the scour pit, the maximum scour depth, and the influence radius; frequency-domain modulation of the Fourier coefficients; and reconstructing the corrected local topography to obtain the final underwater topography DEM.

The application discloses a kind of temperature sound velocity parameter measurement methods in ice based on rod longitudinal vibration mode inversion, belong to ice layer acoustic measurement technical field, including the following steps: S1, layout thin stick, and vibration signal is collected;S2, vibration signal is analyzed, and the resonance frequency set of thin stick longitudinal vibration is obtained;S3, construct non-uniform longitudinal vibration model, and according to the resonance frequency set of thin stick longitudinal vibration is inverted, and the thin stick Young's modulus distribution is obtained;S4, thin stick Young's modulus distribution is mapped as thin stick along the temperature distribution of axial direction, and thin stick along the temperature distribution of axial direction is regarded as the equivalent representation of ice layer along corresponding depth direction temperature distribution;S5, obtain sound velocity profile.The application excites and measures the longitudinal vibration response of thin stick in ice layer, utilizes the sensitive characteristics of thin stick longitudinal vibration mode to material parameter change under non-uniform thermal environment, realizes the inversion estimation of ice layer internal temperature distribution and sound velocity profile.

The application belongs to the technical field of sound velocity profile simplification, and discloses a sound velocity profile adaptive refinement method based on ranging error and chord inner effective area, which proposes a new measurement of chord inner area, quantifies the overall bending degree of the local curve by calculating the integral area between the curve segment and the chord, overcomes the defect that the existing method only reflects single-point deviation, and determines the effectiveness of the chord inner area by comparing the chord inner area with a threshold value to drive the adaptive refinement of the profile. On this basis, a closed-loop process driven by precision targets is established, the ranging error set by the user is taken as the input, the area difference threshold value is automatically calculated as the global constraint, the chord inner effective area criterion is used for iterative screening and feedback until the optimal simplified profile meeting the precision requirement is output, so that the leap from fuzzy empirical decision to quantitative target driving is realized, and the drawbacks of the traditional method, such as blind trial of parameters, poor shape preservation, and difficulty in balancing efficiency and precision, are fundamentally avoided.

The application relates to the technical field of wind tunnel flexible nozzle profile control devices, in particular to a continuous transonic wind tunnel liquid control flexible nozzle sound speed profile maintaining method, which comprises the following steps: calculating the total load of each support node of the flexible nozzle sound speed profile, assembling a node support mechanism to a flexible plate of the flexible nozzle, the node support mechanism comprising a mechanical locker, each node returning to a mechanical zero position and locking the mechanical locker; giving a sound speed nozzle shaping instruction of a hydraulic servo control system, unlocking the mechanical locker, and making the flexible nozzle profile run to the sound speed nozzle profile from the mechanical zero position through coordinated control of the hydraulic servo system; under the condition that the sound speed nozzle profile dynamic adjustment meets the control precision requirement, locking the mechanical locker, and the hydraulic servo system exiting the dynamic adjustment state, and the mechanical locker providing locking force to maintain the sound speed nozzle profile. The purpose of making the flexible nozzle sound speed profile more stable is achieved.

The invention discloses a two-parameter approximate representation and rapid inversion method of a north pole double-track sound velocity profile, and relates to marine environment parameter inversion. Comprising a two-parameter approximate representation method of a dual-track sound velocity profile, a surface refraction type normal wave cross-type dispersion curve extraction method, a horizontal invariant dual-track sound velocity profile rapid inversion method and a horizontal variation dual-track sound velocity profile rapid inversion method. According to the overall change characteristics of the north pole dual-track sound velocity profile, linear approximation is carried out on the sound velocity profile, and the dual-track sound velocity profile is represented through two parameters influenced by width and strength. Because a sound signal frequency dispersion structure crossing phenomenon is caused by the north deep sea surface double-channel sound velocity profile, and the stronger the double-channel intensity is, the more serious the crossing phenomenon is, the north deep sea double-channel sound velocity profile can be inverted by comparing simulated and actually measured sound field cross-type frequency dispersion curves and combining a double-parameter representation method of the double-channel sound velocity profile. The method can be realized by using a single hydrophone.

The invention discloses a geometric random underwater acoustic channel modeling method considering non-equal sound velocity. The method comprises the following steps: 1) constructing a shallow sea layered sound velocity profile; 2) multi-path propagation including a direct path, a sea surface reflection path and a seabed reflection path is considered; 3) calculating a propagation angle, a Doppler frequency shift, a propagation distance and a time delay parameter of a path between the receiving end and the transmitting end based on the layered sound velocity profile in combination with a geometric acoustic principle and a Snell law; and 4) establishing a channel impulse response and transmission function, calculating a time self-correlation function and a frequency correlation function at the same time, and performing analysis. According to the method, the non-equal sound velocity profile is introduced into the geometric random underwater acoustic channel model for the first time, the time-frequency fading characteristics of the channel under the equal sound velocity condition and the non-equal sound velocity condition are compared and analyzed, the physical authenticity and calculation precision of the model are improved, and reliable technical support is provided for design and performance evaluation of an underwater communication system.

The invention discloses a hydrological observation sensor data real-time correction method based on the motion attitude of an unmanned ship, and the method comprises the following steps: S1, collecting the real-time attitude data and static installation position vector data of the unmanned ship in real time, and determining the equivalent sound velocity profile of an ADCP wave beam pointing region; s2, outputting the actual longitude, latitude and depth of the sampling point of which the sound ray bending and attitude coupling error is eliminated; s3, carrying out geometric correction on the ADCP beam based on the instantaneous incidence angle, and generating normalized echo intensity; s4, calculating a dynamic signal-to-noise ratio, and comparing the dynamic signal-to-noise ratio with a preset threshold to generate a quality flag bit Q; and S5, carrying out weighted least square solution, and outputting a final corrected velocity vector to be solved. According to the method, the systematic deviation of sound ray tracking is effectively eliminated by generating the equivalent sound velocity profile matched with the actual pointing region of the ADCP beam.

The present application relates to the technical field of flow velocity prediction model construction, and particularly relates to a method for constructing a flow velocity prediction model based on a thermocline adaptive loss. The method comprises the following steps: in the process of shipborne sailing, low-frequency full-water-depth flow velocity background field data and medium-high-frequency target water layer high-resolution flow velocity data are obtained by using a multi-frequency acoustic Doppler current profiler, sound velocity profile data and unified space-time reference data are synchronously obtained, and a multi-source original observation data set is formed; sound velocity gradient data is calculated based on the sound velocity profile data, a thermocline interval is identified, and thermocline structure identification information is generated; under the constraint of the thermocline structure identification information, adaptive layered three-dimensional sound ray tracking calculation is performed on each wave beam measurement unit of the preset multi-frequency ADCP; by means of adaptive layered sound ray tracking and high-frequency detail reservation, the present application overcomes the measurement distortion caused by the dramatic change of sound velocity in the thermocline in the traditional method, and obtains a high-precision flow velocity field of the key water layer.

The invention discloses a gradient amplification and condensation method and equipment based on sound propagation characteristics. The method comprises the following steps: acquiring three-dimensional physical ocean data of a research area, and calculating a sound velocity field of the research area; dividing the sound velocity field into a shallow sea profile and a deep sea profile according to the effective depth of each sound velocity profile in the sound velocity field, and performing normalization and interpolation processing on multiple groups of sound velocity profiles in the shallow sea profile and the deep sea profile; calculating a sound velocity gradient matrix according to the plurality of groups of sound velocity profiles after normalization and interpolation processing, and performing pre-classification and transverse scaling on the plurality of groups of sound velocity profiles after normalization and interpolation processing according to positive and negative gradients of the sound velocity profiles; and clustering the multiple groups of sound velocity profiles after pre-classification and transverse scaling. The method is suitable for shallow sea and deep sea areas at the same time, the clustering characteristics are balanced by scaling up or scaling down the positive and negative gradients according to the proportion, the sound velocity profile clustering result can be effectively improved, the clustering result has the obvious acoustic propagation characteristic, and the research on the underwater acoustic environment effect can be conveniently carried out.

The present application relates to a kind of acoustic velocity profile inversion method based on array multi-path time delay structure, establishes acoustic velocity disturbance model, utilizes vertical displacement disturbance and sea surface acoustic velocity disturbance to characterize acoustic velocity disturbance information, realizes the nonlinear mapping of high degree of freedom disturbance structure of acoustic velocity profile to vertical displacement disturbance and sea surface acoustic velocity disturbance.Synthetic data set is established, based on empirical orthogonal decomposition algorithm and adding constraint condition, generate new synthetic data set, enhance the variability of data set, make it cover the real acoustic velocity profile of study area to the greatest extent.Based on the multi-path time delay structure between the direct signal of large depth array and the first sea surface reflection signal, construct fitness function, realize the prediction inversion of acoustic velocity profile by combining genetic algorithm, utilize the multi-path time delay arrival structure of each channel received signal of large depth array and an explosive bomb signal, can realize the prediction inversion of acoustic velocity profile, realize simple, applicable to the correction of satellite remote sensing technology assimilation prediction, improve prediction accuracy.

The invention relates to the technical field of industrial metering and process control, in particular to a method for automatically adjusting temperature and density of liquid in a tank meter system, which comprises the following steps of: firstly, acquiring and reconstructing a sectional area curve, a pressure profile, a liquid level height, a temperature profile and a sound velocity profile to form an input data set; establishing a joint inversion model based on a hydrostatic relationship and an acoustic volume modulus relationship, and obtaining a density profile and a compressibility profile; executing nonlinear standard state projection under mass conservation, and calculating standard state volume, mass and standard state density; and forming constraint by projection consistency, and driving inversion closed-loop updating. According to the method, geometric consistency and physical property consistency are met at the same time, the influence of stratification, attitude change and sensing noise on reading is remarkably reduced, and the accuracy and traceability of settlement and scheduling are improved.

The invention discloses an active inversion method of a typical deep sea sound velocity profile based on a reliable sound path, and relates to acoustic inversion of marine environment parameters. The method comprises the steps that based on ocean mode data or measured data, a sound propagation model is combined, and a sea surface scattering echo arrival pitch angle and arrival time two-dimensional curve under different deep sea sound velocity profiles is obtained through simulation; a vertical receiving array carrying an active sound source is arranged at the bottom of a deep sea, and sea surface scattering echoes obtained by active emission are subjected to beam forming to obtain actually measured sea surface scattering echo arrival pitch angle and arrival time two-dimensional curves; comparing the two curves to obtain sound velocity profile expression parameters under the optimal matching of the two-dimensional curve, and obtaining deep sea sound velocity profile estimation by using the expression parameters. And a full-water-depth sound velocity profile can be obtained without covering a measurement system of a whole water body. A traditional receiving and transmitting split double-subsurface buoy system does not need to be used for obtaining a deep sea water sound velocity profile between receiving and transmitting, and deep sea sound velocity profile estimation can be achieved by placing a single receiving and transmitting assembly on a system on the seabed.

The invention discloses a seabed benchmark combined positioning method based on characteristic depth vertical displacement parameterization, and belongs to the technical field of seabed geodetic survey. In order to solve the technical problems that parameters of a disturbance model established in the prior art and dynamic changes of an internal structure of a sound velocity field lack clear association, the disturbance model highly depends on the stability of a horizontal gradient of an actual sound velocity field, and the effect of an existing method for counteracting space-time variable sound velocity disturbance influence is limited. A spatial structure characteristic model of vertical displacement is established by collecting reference sound velocity profile data, sea surface acoustic transponder coordinate data and signal transmitting and receiving moment data, equivalent sound velocity profiles corresponding to observation epochs are obtained on the basis of the model, the equivalent sound velocity profiles are used for determining observed quantity, a nonlinear adjustment model is constructed, and the spatial structure characteristic model of vertical displacement is obtained. And solving the model to obtain a positioning result. The method is mainly used for seabed reference positioning.

The embodiment of the invention provides a deep sea sound source localization method based on an eikonal equation, and the method comprises the steps: S1, carrying out the data collection and preprocessing, deploying an underwater sensor array, collecting sound wave signals and environment parameters in a target region, carrying out the filtering and noise reduction of the collected sound wave signals, and extracting the arrival time stamp of each sensor; s2, constructing a model, and calculating a sound velocity profile according to the collected environmental parameters; s3, discretizing and initializing a computational domain; s4, performing numerical solution on the eikonal equation, and performing numerical solution by adopting a fast propulsion method; s5, calculating theoretical propagation time, and extracting the theoretical propagation time from the propagation time field for each sensor position; and S6, solving the position of the sound source. According to the embodiment of the invention, the propagation path and the arrival time of the sound wave in the deep sea can be accurately described, so that the sound source can be accurately positioned, and the method can be suitable for application scenes such as underwater unmanned underwater vehicles, sonar systems, ocean monitoring and seabed detection.

This invention discloses a siltation early warning method based on the fusion of towed sonar and multi-source hydrological parameters, belonging to the field of underwater topographic monitoring and engineering safety early warning technology. The method first plans the survey lines for the target area and simultaneously collects multibeam sonar bathymetry data, CTD multi-parameter data, platform attitude data, tow cable status data, positioning and navigation data, and time synchronization information during towed platform operation. Then, it performs time alignment, outlier removal, missing value compensation, and noise suppression on the multi-source data. A sound velocity profile is constructed based on the CTD multi-parameter data, and the sound velocity of the multibeam sonar bathymetry data is corrected. Geometric compensation is also performed by combining platform attitude data, tow cable status data, and positioning and navigation data. Finally, the corrected bathymetry data is... The results are mapped to a preset coordinate system to construct an underwater cross-section model, a grid elevation model, or a bed sediment point cloud model for the current time period. Historical baseline models are retrieved for coordinate unification, overlapping area identification, and adaptive registration. Based on this, elevation difference analysis, slope change analysis, regional thickness statistics, and calculations of sediment thickness, changed area, and sediment volume are performed. Furthermore, short-term trend predictions are made by combining historical observations from multiple time periods with environmental driving factors such as flow velocity, tide level, temperature, salinity, turbidity, and sediment content. Finally, a warning level is generated based on a risk threshold, and warning information is output. This invention improves the comparability of multi-time period towed sonar measurement results and the accuracy of sediment identification, enabling continuous monitoring, quantitative analysis, and proactive warning of bed sedimentation status in target areas. It is applicable to port channels, inland waterways, estuaries, reservoir areas, and near-shore engineering areas.

The invention discloses a sound velocity profile parameterization representation method of a medium-latitude deep sea area, and relates to a rapid representation method of a deep sea sound velocity profile. Comprising characteristic analysis and spatial-temporal change distribution rule analysis of a typical medium-latitude deep-sea sound velocity profile, and three-parameterization representation of the medium-latitude deep-sea sound velocity profile. On the basis of common ocean mode data, the sound velocity and the thickness of a surface equal-sound-velocity layer and a quadratic function coefficient connected with a spring layer are used for approximately representing a deep-sea sound velocity profile, small-parameter approximate representation of a medium-latitude deep-sea sound velocity profile is achieved, and the method can be used for deep-sea sound velocity profile spatial-temporal change and influence effect research. Meanwhile, the method can be further used for deep sea sound velocity profile inversion research.

The embodiment of the invention discloses a propagation path determination method and device, electronic equipment and a storage medium, and relates to the technical field of ocean engineering, and the method comprises the steps: building an underwater node neighborhood topology according to starting and ending points and underwater environment information, calculating sound velocity profiles corresponding to the nodes by using marine environment parameters collected by each node in the underwater node neighborhood topology; calculating an underwater acoustic channel parameter between every two nodes in the communication range according to the underwater topographic data, the underwater node neighborhood topology and the sound velocity profile corresponding to each node; determining a state configuration parameter according to the underwater acoustic channel parameter between every two nodes in the communication range, and determining a target node propagation path according to the state configuration parameter; the method solves the problem that the current underwater node path planning mode is difficult to adapt to the rapid change of the underwater environment, guarantees the dynamic adjustment of the propagation path along with the underwater environment, and guarantees the real-time and rapid information propagation of the communication path based on the target node propagation path in an actual feasible region.

The application provides an underwater target matching field positioning method and system fusing sound intensity gain of a convergence zone, sets deployment parameters of an underwater sound source in a target sea area, including sound source depth, exit angle range and frequency, and deploys a sonar listener in a first convergence zone to generate simulation parameters; based on the simulation parameters and sea area sound velocity profile data, a layered sound velocity modeling and sound ray propagation model are used to calculate distance, width and convergence zone gain of the first convergence zone formed by the target sound source, and convergence zone characteristic parameters are obtained; the convergence zone characteristic parameters and the simulation parameters are input into a Bellhop sound field modeling tool to obtain simulated sound intensity data including a propagation path and propagation loss; the simulated sound intensity data and measured sound intensity data of the sonar listener are compared to construct a cost function; a horizontal distance between the estimated target sound source and the sonar listener is obtained by maximizing the cost function, so that the positioning of the underwater target is completed.

Described are systems and techniques for optimizing sound velocity profile (SVP) cast frequency for solar heating effects. Location information associated with a survey vessel or acoustic survey can be obtained and used to determine a time value of local solar noon (LSN) based on the location information. A time interval can be determined corresponding to increased water column heating from solar irradiance, the time interval based on configured offsets from the time value of LSN. A first subset of a plurality of SVP measurements can be obtained outside of the time interval and using a first sampling periodicity that is longer than a second sampling periodicity used to obtain a second subset of the plurality of SVP measurements within the time interval. Unlocking insights from Geo-Data, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and livable world.

This invention belongs to the technical field of seawater sound velocity profile inversion, and particularly relates to a method and apparatus for seawater sound velocity profile inversion based on the HMC algorithm. The method includes the following steps: interpolating and preprocessing historical sound velocity profile data and decomposing it using empirical orthogonal functions to obtain empirical orthogonal function expressions; calculating the time required for sound velocity propagation at different depths using the empirical orthogonal function expressions; using time as observation data, modeling the inversion algorithm based on the HMC sampling algorithm principle to obtain a result dataset; calculating the mean and standard deviation of the result dataset to obtain empirical orthogonal function values; and using the HMC algorithm to invert the empirical orthogonal function values ​​to reconstruct the seawater sound velocity profile, thus completing the inversion of the seawater sound velocity profile. This invention can accurately calculate the relationship between parameters using the constructed target distribution function and efficiently complete the inversion of seawater sound velocity profiles using the HMC sampling algorithm, providing a new method for seawater sound velocity profile inversion.