19 results about "Marine gravity" patented technology

The invention provides a shipborne marine gravimeter quasi-static test evaluation method and device, belongs to the technical field of marine geophysical measurement, adopts a dual correction mechanism to reconstruct the structural composition of a data processing function module, and specifically adopts a technical means of synchronously collecting GNSS elevation change data to realize accurate measurement. The GNSS positioning system is rigidly connected with the gravimeter to continuously record elevation change data of the ship; calculating a gravity correction value caused by elevation change; the earth tide correction value and the elevation change correction value are deducted from gravity observation data at the same time, the accurate residual observation quantity is obtained, the technical inertia that in the prior art, only earth tide correction is considered, but the elevation change influence is ignored is broken, the GNSS system is ingeniously used for recording the ship elevation change condition, and a dual correction mechanism is adopted; the problem that the evaluation result is inaccurate due to the fact that the ship fluctuates along with the tide level in a wharf mooring test is solved, and then the technical effect of accurately evaluating the performance of the gravimeter in the quasi-static environment is achieved.

The invention discloses an ocean space gravity survey line dynamic planning method and system based on deep reinforcement learning, and relates to the technical field of ocean gravity survey line planning, and the method comprises the following steps: environment construction and state representation, intelligent agent training and strategy learning, online dynamic re-planning and execution, and track post-processing and feasibility guarantee. According to the method, multi-source prior geographic information and real-time dynamic environment data are deeply fused, a high-precision reinforcement learning simulation environment is constructed, adaptive path planning from static state to dynamic state is realized, and through a multi-target composite reward function design, a multi-agent collaborative framework, a course learning strategy and a meta-learning rapid adaptation capability, the path planning efficiency is improved. According to the method, B spline curve smoothness and safety constraint guarantee are combined, the coverage rate, safety and execution efficiency of path planning are remarkably improved, meanwhile, through man-machine cooperation and digital twinborn verification closed loop, the advantages of expert experience and intelligent decision making are considered, and the intelligent level and comprehensive benefits of ocean gravity measurement can be remarkably improved.

The invention relates to a sea area gravity anomaly northbound gradient calculation method, and provides a sea area gravity anomaly northbound gradient calculation method aiming at the gravity anomaly auxiliary navigation requirement of an inertial navigation system under the constraint of a sea area motion carrier position error. And based on the completely normalized global gravity potential coefficient, constructing a sea area gravity anomaly northbound gradient calculation model, and carrying out sea area gravity anomaly northbound gradient calculation. The invention aims to improve the gravity anomaly aided navigation capability of the inertial navigation system under the constraint of the position error of the motion carrier and improve the navigation precision of the inertial navigation system.

The invention discloses an offshore gravity energy storage system which comprises a mounting platform and heavy objects pulled by cables, the heavy objects can move up and down in seawater relative to the mounting platform, the multiple heavy objects are arranged in the circumferential direction of the mounting platform, and the number of the heavy objects is a multiple of an even number. The two weights oppositely arranged in the radial direction of the mounting platform form a working group, at least two reel power generation mechanisms are arranged on the mounting platform, and the multiple reel power generation mechanisms are arranged in a layered mode in the vertical direction; the reel power generation mechanism comprises a rotating disc rotationally arranged on the mounting platform, a support fixedly arranged on the rotating disc and a winding roll rotationally arranged on the support. According to the invention, through the vertically layered reel power generation mechanism and the circumferentially arranged weights, the power generation and energy storage process can be continuously carried out, the energy storage efficiency is greatly improved, and after all the weights are put down to the seabed, the mounting platform can be anchored to resist extreme weather such as typhoon and the like.

The invention discloses a multi-source submarine topography reconstruction method and system based on a frequency domain attention neural network, and relates to the technical field of submarine topography reconstruction. The method comprises the following steps: acquiring GEBCO water depth data, ocean gravity parameter abnormal data, vertical gravity gradient data, north component data of vertical deviation and east component data of vertical deviation, and constructing a five-channel input tensor; performing standardization processing on the five-channel input tensor, constructing a data set, and randomly dividing the data set into a training set and a test set through uniform sampling; processing the training set by using a frequency domain attention model to obtain fusion features, and inputting the fusion features into a predictor to generate a water depth estimated value; wherein the frequency domain attention model combines fast Fourier transform preprocessing with an attention mechanism, and the predictor is composed of a full connection layer and a ReLU activation function. According to the invention, the Fourier transform mechanism is introduced into the neural network architecture, the attention in the frequency domain is realized, and the submarine topography reconstruction precision is improved.

The invention discloses an offshore gravity energy storage and battery energy storage coupled dual-storage system and method, and the system comprises an offshore platform, and also comprises a weight which is internally packaged with an energy storage battery, can lift and move relative to the offshore platform, and is provided with a charging and discharging interface electrically connected with the energy storage battery; the power supply equipment is arranged on the offshore platform, the power supply equipment comprises a power utilization plant, a whole power plant and renewable energy power generation equipment, the power utilization plant is connected with a power generation transmission cable which can be in butt joint with the charging and discharging interface, and the whole power plant is connected with a charging transmission cable which can be in butt joint with the charging and discharging interface; and a traction power generation mechanism. According to the system, gravity energy storage and electric energy coupling storage are achieved, meanwhile, the energy storage battery preferentially absorbs abandoned electricity of renewable energy power generation equipment, gravity energy storage can still be conducted after the electricity storage service life is reached, and better economic benefits are achieved.

This invention relates to the interdisciplinary fields of marine gravimetry and artificial intelligence. Specifically, it presents a marine gravity field inversion method based on a regularized multilayer perceptron (NRMLP) that can significantly improve the accuracy of marine gravity field inversion. The method involves building and training a NRMLP model to obtain residual gravity anomalies, which are then incorporated into a loss function as constraints during NRMLP model training. A marine gravity field model, NRMLP_GRA, is then established based on the NRMLP model. This method uses the residual gravity anomalies calculated by the marine gravity field model as part of the loss function, acting as a regularization constraint. NRMLP takes the meridional component of the residual perpendicular deviation, the ramusoidal component of the residual perpendicular deviation, and the spherical angular distance as inputs, and the residual gravity anomalies as outputs. Ultimately, this improves accuracy in regions with scarce effective training data, providing a solution to enhance marine gravity field accuracy that differs from neural network structure optimization.

The invention discloses a sound channel depth calculation method and system combined with multiple ocean physical elements, and the method comprises the steps: obtaining the historical profile water temperature and profile salinity data of a to-be-measured sea area, and obtaining the historical sound velocity profile data; calculating the position of the sound velocity minimum value by using the sound velocity profile data, and recording the corresponding sound channel depth; collecting sea surface hydrological data, sea surface meteorological data, sea gravity field data, sea surface dynamic topographic data and submarine topographic data of the sea area to be measured in the corresponding time period; taking the collected data and the corresponding spatio-temporal information as features of a training set, taking the sound channel depth as a training set label, and inputting the features into a multi-dimensional feature regression machine learning model for training; and collecting sea surface hydrological data and sea surface meteorological data of a sea area to be measured in real time, and inputting the sea surface hydrological data and the sea surface meteorological data into the trained multi-dimensional feature regression machine learning model in combination with the spatio-temporal information of the sea area to be measured, the sea gravity field data, the submarine topographic data and the sea surface dynamic topographic data to obtain a required sound channel depth value.

The invention relates to a sea area gravity anomaly east gradient calculation method, and provides a sea area gravity anomaly east gradient calculation method aiming at the gravity anomaly aided navigation requirement of an inertial navigation system under the constraint of a sea area motion carrier position error. And based on the completely normalized global gravity potential coefficient, a sea area gravity anomaly east gradient calculation model is constructed, and sea area gravity anomaly east gradient calculation is realized. The invention aims to improve the gravity anomaly aided navigation capability of the inertial navigation system under the constraint of the position error of the motion carrier and improve the navigation precision of the inertial navigation system.

The invention discloses a novel gravity measurement method based on the combination of an atomic gravimeter and a classical accelerometer. The method comprises the following steps: S1, carrying out synchronous measurement by using the atomic gravimeter and the classical accelerometer; s2, on the basis of a quantum-classical hybrid method, dynamic gravity measurement is carried out in combination with a vertical output signal of a classical accelerometer; and S3, a variational Bayesian adaptive unscented Kalman filter (VBAUKF) algorithm is adopted. According to the method, a feasible technical scheme is provided for high-precision ocean gravity measurement, a new thought is developed for research in related fields, and the method has important theoretical value and engineering application significance; by dynamically combining the advantages of the atomic gravimeter and the classical accelerometer, large-range, high-sampling-rate, high-precision and zero-drift-free absolute gravity value measurement is realized, and the measurement precision and reliability of the system are remarkably improved.

The invention discloses a field programmable gate array (FPGA) time sequence control algorithm for a marine atom gravimeter, and relates to the technical field of high-precision gravity matching navigation.According to the system, a front-end optical subsystem, a rear-end optical subsystem and an upper computer data processing module are set up, high-precision synchronous control over multiple paths of signals is achieved in combination with an FPGA, and an interference fringe resolving method for Bayesian inference cosine estimation is adopted, so that high-precision synchronous control over the multiple paths of signals is achieved. And the synchronization performance and the gravity measurement precision of each module of the atom marine gravimeter are effectively improved. According to the method, the external coincidence precision of gravity measurement is improved to 0.8 mGal while the stability of the system is ensured, the requirements of ocean dynamic absolute gravity measurement are met, and the method can be widely applied to the fields of resource exploration, passive navigation, geophysical research and the like.

The application discloses a kind of ocean gravity field modeling methods under seabed topography constraint fusing frequency domain and space domain, it is related to ocean gravity field technical field, including the following steps: S1 pretreatment multi-source data, with EGM2008 as reference, 3σ criterion eliminates ship survey anomaly point, GMT's x2sys module adjustment weakens systematic error;S2 based on Parker fast Fourier transform forward topographic gravity anomaly, determine cut-off wavelength after power spectrum analysis, construct initial gravity background field;S3 recursive quadtree adaptive partitioning;S4 constructs topographic constraint polyhedral function model fitting residual;S5 regularized least squares solution parameter, compensate and refine residual to synthesize high-precision model.The application introduces seabed topography constraint in dual domain, combines adaptive partitioning, realizes high-low frequency information complementation, breaks through calculation bottleneck, fits physical law, absorbs systematic error, suppresses boundary effect, greatly improves the precision and robustness of ocean gravity field model.

The application discloses a gravity anomaly calculation method, device, equipment, storage medium and product, relates to the satellite altimetry data processing technical field, and the gravity anomaly calculation method comprises: obtaining sea surface height data observed by an altimetry satellite; according to the sea surface height data, a plurality of residual geoid gradients in different directions are calculated; the plurality of residual geoid gradients in different directions are fused by a Bayesian triangular cap method, and an east-west direction component and a south-north direction component of the residual geoid gradient are obtained; and based on the east-west direction component and the south-north direction component of the residual geoid gradient, the marine gravity anomaly of a target region is calculated by a gravity anomaly inversion algorithm. The application solves the technical problems of low utilization rate of multi-direction gradient information of a single altimetry satellite and insufficient component extraction precision, realizes mining and optimization of multi-direction gradient information of a single satellite, and improves the inversion precision of the marine gravity anomaly.

The invention discloses a refining treatment method, device and equipment for a marine gravity field model and a medium. The method comprises the following steps: acquiring shipborne multi-beam water depth data, an ocean gravity field model and shipborne gravity abnormal data of a target sea area; high-frequency information of submarine topography is extracted from the shipborne multi-beam water depth data by adopting a band-pass filter, and high-frequency gravity information of a corresponding frequency band is calculated based on a topography and gravity functional model; and finally, replacing the gravity information of the corresponding wave band in the ocean gravity model with high-frequency gravity information to generate a high-resolution ocean gravity field model. In addition, the optimal passband of the band-pass filter is obtained through ship-borne gravity abnormal data constraint, and the precision of the ocean gravity field model is further effectively improved.

The application discloses a method and system for inverting marine gravity anomaly based on physical information neural network, and particularly relates to the field of physical geodesy, and the method comprises the following steps: acquiring multi-source altimetry satellite sea surface height data, and calculating the north-south and east-west components of residual vertical deflection; utilizing the inverse Vening-Meinesz formula to invert gravity anomaly to construct a training set; constructing a physical information neural network, embedding the physical gradient relationship between the vertical deflection and the gravity anomaly into a loss function to perform constraint training, and establishing a high-precision nonlinear mapping model of the two; and finally inputting the data of a region to be measured to output inversion results. Through data driving and physical equation collaborative optimization, the application does not need data gridding and complex discretization processing, effectively fuses prior knowledge, and significantly improves the precision and physical consistency of marine gravity anomaly inversion.

The invention discloses an offshore gravity energy storage system and method. The system comprises a large rigid floating body which floats on the water surface or suspends at a certain depth underwater or a plurality of floating bodies which are connected together through a certain frame structure. A weight is arranged on the floating body, and the weight generates electricity in the process of sinking to the seabed. And energy is stored in the process of pulling up the heavy object from the seabed. A seabed weight is jointly positioned through a plurality of active and passive sonars and a GPS (Global Positioning System), and data is stored in a digital map system. And seabed weights can be found through sonar and an optical camera according to a digital map system. The horizontal position of the system can be dynamically adjusted through the thrust of a plurality of propellers of various floating bodies. When the method that the system is suspended at a certain depth underwater to run is adopted, the vertical stability of the system can be adjusted by adjusting the upward tension of the floating body or the downward tension of the anchorage system.

The invention relates to the cross technical field of ocean gravity mechanics, underwater navigation science and the like, in particular to a method for improving ocean gravity precision and resolution based on a submarine topography regression index, and the method can meet the accurate positioning requirement of a submersible vehicle. A novel submarine topography regression index method is constructed; compared with the prior art, the method has the advantages that the limitation that a traditional interpolation method is insufficient in gravitational field depicting capability of a complex submarine topography area is broken through, the influence of a long-wave gravity abnormal component on the reconstruction precision of the ocean gravity reference map is removed, and the reconstruction precision of the ocean gravity reference map is improved. The method is more universal, and the reconstruction precision is higher.

The invention discloses a gravity inversion method based on a physical information neural network, and belongs to the technical field of ocean gravity inversion, and the method specifically comprises the steps: preprocessing submarine topography, ship load and satellite height measurement data; a physical reference model is constructed based on the consideration of an inverse Vening Meinesz formula, the precision of the ship load and the physical reference model is evaluated, and hyper-parameters of fusion data and physical information are quantitatively determined; constructing a physical information neural network model, and determining a loss function; by training the model, high-precision ocean gravity anomaly inversion is finally realized; according to the method, a physical mechanism is used as constraint to be embedded into neural network training, the problems that a traditional inversion method is low in precision and an existing neural network is poor in generalization ability in a data sparse region are effectively solved, and the method is particularly suitable for high-precision gravity field construction of a marine area with sparse ship load distribution.

The invention discloses a gravity anomaly calculation method, device and equipment, a storage medium and a product, and relates to the technical field of satellite altimetry data processing, and the gravity anomaly calculation method comprises the steps: obtaining sea surface height data observed by an altimetry satellite; according to the sea surface height data, a plurality of residual geoid gradients in different directions are obtained through calculation; performing fusion processing on the residual geoid gradients in the different directions through a Bayesian triangular cap method to obtain east-west direction components and south-north direction components of the residual geoid gradients; and based on the east-west direction component and the south-north direction component of the residual geoid gradient, calculating through a gravity anomaly inversion algorithm to obtain the ocean gravity anomaly of the target area. According to the method, the technical problems of low utilization rate of multi-directional gradient information and insufficient component extraction precision of a single altimetry satellite are solved, mining and optimization of the multi-directional gradient information of the single satellite are realized, and the inversion precision of ocean gravity anomaly is improved.