18 results about "Ocean tide" patented technology

A high-precision gravity field model establishing method comprises the steps of firstly obtaining gravity observation data of a plurality of stations, then carrying out downsampling processing on the data, then carrying out theoretical earth tide correction on the data, and then carrying out wrong data, kick data and continuous grid-dropping data identification on the data, then error data, kick data and continuous grid-dropping data in the data are corrected, theoretical earth tide correction, tide correction, air pressure correction, sea tide correction and extreme tide correction are carried out on the data, and then a high-precision gravity field model is obtained; the gravity observation data is actually measured and generated in the region of China, so that a large amount of assignment calculation is not needed, and the generation efficiency of the gravity field model is relatively high. Therefore, according to the design, all nodes do not need to be calculated, and the gravity field model generation efficiency is high.

The present disclosure relates to the technical field of ocean numerical simulation, and specifically to a method and device for simulating ocean tides based on a hybrid neural network model. The method comprises: obtaining the harmonization parameters on the open boundary of the target sea area, inputting the pre-trained physical information neural network model in the hybrid neural network model, and obtaining the simulated tide time series data of multiple tide-observing stations; constructing a training data set, inputting the training data set into the deep neural network model in the hybrid neural network model, and training the deep neural network model; inputting the measured tide time series data of multiple tide-observing stations into the trained deep neural network model, and obtaining the optimal harmonization parameters of multiple nodes from the deep neural network model. The method provided in the embodiment of the present disclosure obtains the optimal harmonization parameters by constructing and training the deep neural network model and directly inputting the measured tide data of the tide-observing stations into the hybrid neural network model, thereby reducing the manpower and time costs in the numerical simulation process and improving the efficiency of the numerical simulation.

Embodiments of the present application disclose a rising tide early warning method and device, a terminal device and a storage medium. The method comprises: when a camera of the terminal device is turned on, obtaining time information and positioning information of the terminal device, and obtaining a sea surface image collected by the camera; determining whether a user is in a rising tide danger state according to the time information, the positioning information and the sea surface image; and outputting warning information when the user is in the rising tide danger state, the warning information being used to remind the user to leave a current area. The embodiment can protect the user's safety when the ocean tide rises.

The invention provides an ocean tide level prediction model training method, prediction method and device and electronic equipment, and relates to the technical field of computers.The ocean tide level prediction method comprises the steps that historical ocean tide level data are input into a numerical prediction model for tide level prediction, and numerical model prediction data are obtained; historical ocean tide level data are input into a deep learning prediction model for tide level prediction, deep learning model prediction data are obtained, and the deep learning prediction model is constructed based on a time convolutional network; according to the numerical model prediction data and the deep learning model prediction data, training the initial integrated learning model to obtain initial ocean tide level prediction data and loss function output; and adjusting model parameters of the initial integrated learning model according to the loss function output until the loss function output meets a preset condition, and taking the initial integrated learning model after parameter adjustment as a sea tide level prediction model. According to the invention, the prediction precision of the sea level prediction model is improved.

The invention discloses a target harmonic signal complex frequency estimation method based on frequency domain least square, and belongs to the technical field of signal processing, and the method comprises the steps: obtaining a geophysical observation time sequence containing a target harmonic signal; windowing Fourier transform is adopted to obtain an initial power spectrum, and a spectrum peak of the target harmonic signal is identified; selecting power spectrum values at a plurality of frequency points near the target spectrum peak, and obtaining complex frequency parameters of the target harmonic signal by using linear least square fitting; zero-filling expansion is adopted to increase effective frequency points of a power spectrum, and the estimation precision of complex frequency parameters is improved through multiple least squares. According to the method, Fourier transform and linear least square fitting are combined, high-precision estimation of the complex frequency of the target harmonic signal can be achieved, the method is simple, efficient and easy to implement, and the method is successfully applied to scenes such as earth normal mode frequency extraction and ocean partial tide parameter inversion and can be expanded to any time sequence signal analysis such as communication and biomedicine.

The application relates to the technical field of ocean tide observation, and provides a sea tide model optimization method based on multi-source observation data and related equipment, which comprises the following steps: obtaining sea tide observation data of multiple observation sources of a target sea area, and constructing multiple sea tide models; for each sea tide model, the sea tide model is evaluated according to the sea tide observation data of each observation source, and error evaluation results of the sea tide model under each observation source are obtained; error spatial distribution maps of each sea tide model are calculated; and based on the error spatial distribution maps of all the sea tide models and all the error evaluation results, the best sea tide model of the target sea area is determined from all the sea tide models. The method can improve the performance and precision of the selected sea tide model.

The invention discloses a data processing method based on ocean tide harmonic analysis, and relates to the technical field of ocean surveying and mapping, and the method comprises the steps: firstly, processing original tide level data through a harmonic analysis model, determining an astronomical tide predicted value, and separating out non-astronomical tide data; performing decomposition and noise reduction processing on the non-astronomical tide data, and extracting each modal component by using a variational modal decomposition algorithm; performing feature extraction and prediction on the modal component based on a gating cycle model such as a bidirectional GRU network to obtain a non-astronomical tide prediction value; and finally, superposing the non-astronomical tide predicted value and the astronomical tide predicted value to generate a target tide level predicted value for constructing a vertical reference surface, thereby improving the calculation efficiency, being particularly suitable for a data-deficient region, comprehensively reflecting the dynamic change characteristics of the tide, and being capable of adjusting parameters according to the characteristics of different regions, improving the prediction accuracy and credibility, and improving the prediction accuracy and reliability. The method has wide practicability and is suitable for sea level conversion in nautical chart making and ocean engineering construction.

The utility model relates to the technical field of marine acoustic detection, in particular to an assembly type marine sonar fixing and mounting device. According to the technical scheme of the multi-section connecting rod, the antenna connecting rod, the movable tripod, the stabilizing device, the split clamp and the fixed steel wire cable, the matching device can simultaneously realize the same horizontal and vertical coordinates of key equipment such as a positioning antenna, an angle attitude instrument and the like in a coordinate system relative to a sonar probe; the whole detection system is ensured to have good signal strength and equipment stability enough to resist sea tide impact, errors are effectively reduced, and high-quality side scanning data quality can be ensured.

The utility model discloses a sea grass bed protection device based on tidal change monitoring, and belongs to the field of sea grass bed protection. Comprising a tide monitoring and early warning device and an automatic water storage and drainage device, wherein the tide monitoring and early warning device is used for predicting tide fluctuation time and tide height and sending out early warning signals; the automatic water storage and drainage device comprises a master controller, a plurality of automatic water storage and drainage devices, hollow contraction pipes, a water level measuring instrument and a drainage pump, the automatic water storage and drainage devices are distributed on the periphery of the to-be-protected seaweed bed, and the automatic water storage and drainage devices are sequentially connected and communicated with the periphery of the to-be-protected seaweed bed through the hollow contraction pipes to form a closed-loop communication structure; the automatic water storage and drainage device and the hollow shrinkage pipe sink to the seabed under the condition of being full of water, and can float in the water when being empty or under the conditions of half air and the like. The device can be flexibly and spatially distributed in groups according to the area of a sea grass bed, and the protection device is started before the change value of a tide height value caused by ocean tides exceeds a certain standard value to protect the stability of water grass root systems.

The application discloses a kind of steel bar distribution management method, device, equipment and medium based on tidal algorithm, it is related to steel bar distribution management technical field, comprising: using visual identification model to scan steel bar bundle, steel bar state information is bound with RFID on steel bar bundle;Electronic fence reads RFID tag, and updates the steel bar inventory information of electronic fence;Recognize the steel bar that needs to be distributed to generate steel bar distribution task;Ocean tide data is acquired and according to tidal influence information, steel bar distribution task is optimized.It can be mastered steel bar information through steel bar digital label, while using electronic fence identification label to automatically manage steel bar procurement, processing, distribution and other turnover links, automatically generates steel bar distribution task according to demand, reduces the difficulty of searching material and mismatch probability.Combined with tidal data, steel bar distribution task is optimized, to avoid the situation that steel bar is affected by marine climate and causes rust and other influences to steel bar quality.

The invention discloses a gravity satellite constellation design method for eliminating sea tide mixing, and relates to the technical field of satellite gravity. Comprising the following steps: calculating an ascending node angular distance difference of each sea tide component; determining the satellite orbital plane number, the orbital height, the orbital inclination angle and the inversion period of the gravity satellite constellation; determining a sea tide frequency mixing control strategy; and determining an optimal satellite constellation design scheme according to the sea tide mixing elimination strategy. According to the invention, a sea tide mixing control strategy is formulated according to the sea tide mixing characteristic of each sea tide component, and a practical method is provided for eliminating the influence of sea tide mixing on the inversion gravity field by using satellite constellation design.

The application discloses an improved nudging method for ocean tide assimilation research. In view of the defects of the traditional nudging method, the application combines the updating idea of the sequential assimilation method, calculates the model and observation errors first, then uses the model and observation errors to calculate the nudging relaxation coefficient by weighting, and further uses the observation data to update the model state, so that the observation data and the ocean model are combined scientifically, and a new tide assimilation method is formed. The application overcomes the defect that the given relaxation coefficient in the traditional nudging method has no reasonable basis, scientifically gives a new nudging relaxation coefficient based on the updating idea in the sequential assimilation method, overcomes the problem that the tidal amplitude is small at the coast in the global ocean model assimilation research of the traditional nudging method, and causes the large deviation of the split tide angle after the assimilation, and provides a new assimilation method for accurate ocean tide simulation.

The invention discloses a reinforcing steel bar distribution management method, device and equipment based on a tide algorithm and a medium, and relates to the technical field of reinforcing steel bar distribution management, and the method comprises the steps: scanning a reinforcing steel bar bundle through a visual recognition model, and binding the reinforcing steel bar state information with an RFID on the reinforcing steel bar bundle; reading the RFID tag by using the electronic fence, and updating the steel bar inventory information of the electronic fence; reinforcing steel bars needing to be distributed are identified to generate a reinforcing steel bar distribution task; and acquiring ocean tide data, and optimizing the steel bar distribution task according to the tide influence information. Steel bar information can be quickly mastered through the steel bar digital labels, the electronic fence identification labels are utilized to automatically manage circulation links such as purchasing, warehousing, processing and distribution of the steel bars, steel bar distribution tasks are automatically generated according to requirements, and the material searching difficulty and the mismatching probability are reduced. The reinforcement distribution task is optimized in combination with tide data, and the situation that the reinforcement quality is affected by corrosion and the like caused by the influence of marine climate is avoided.

The application discloses a target harmonic signal complex frequency estimation method based on a frequency domain least square, and belongs to the technical field of signal processing, and comprises the following steps: acquiring a geophysical observation time sequence containing a target harmonic signal; acquiring an initial power spectrum by adopting a windowed Fourier transform, and identifying a spectral peak of the target harmonic signal; selecting power spectrum values at multiple frequency points near the target spectral peak, and obtaining a complex frequency parameter of the target harmonic signal by utilizing a linear least square fitting; and adopting zero padding extension to increase effective frequency points of the power spectrum, and improving estimation accuracy of the complex frequency parameter by a multiple least square. The application combines the Fourier transform and the linear least square fitting, can realize high-precision estimation of the complex frequency of the target harmonic signal, is simple, efficient and easy to realize, has been successfully applied to scenes such as extraction of earth normal mode frequencies and inversion of ocean tide constituent parameters, and can be extended to communication, biomedical and other arbitrary time series signal analysis.

1. The name of the design product: ocean comprehensive monitoring graphical user interface for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram 1. 5. Omit rear view, left view, right view, top view, bottom view. 6. The use of the graphical user interface: for ocean tide comprehensive monitoring. 7. The human-computer interaction mode of the graphical user interface: the main view is the login interface of the display screen panel, the user clicks WeChat login, and then the interface jumps to interface change state diagram 1; the user clicks the "+" button in interface change state diagram 1, and the interface jumps to interface change state diagram 2; the user clicks the "circular user management pattern" button in interface change state diagram 2, and the interface jumps to interface change state diagram 3; the user clicks the "satellite map" button in interface change state diagram 3, and the interface jumps to interface change state diagram 4.

The invention relates to the technical field of coast protection engineering and sea tide viewing, in particular to a seawall reinforcing structure and method for improving an eagre landscape. The reinforcing structure comprises a tooth wall bottom plate arranged on a seabed, a retaining wall is arranged on the side, opposite to a seawall, of the tooth wall bottom plate, the retaining wall is obliquely arranged, a tidal bore landscape platform is arranged on the top of the retaining wall, and a protective fence is arranged on the edge of the tidal bore landscape platform. A water column group is formed through the tidal bore, a natural dynamic water curtain is formed, the viewing angle is increased to 180 degrees, the seawall is protected, meanwhile, the landscape function is achieved, the tide viewing experience feeling is improved, the protective net and the protective fence are arranged, and the safety is improved.

The present invention belongs to the field of ocean monitoring and provides a method for reducing tidal error when studying tidal load displacement using GNSS. The method comprises the following steps: determining tidal pairs N2 to M2, S2 to M2, K2 to M2, K2 to S2, P1 to K1, O1 to K1, Q1 to K1, and Q1 to O1; establishing relative relationships between each tidal pair to obtain the amplitude ratio and lag angle difference of each grid point; calculating the equilibrium tide harmonic constant to obtain the equilibrium tide amplitude of each tidal component corrected by geotidal correction; calculating the GPS data harmonic constant to obtain the amplitude of each tidal component obtained by harmonic analysis of GPS data; and correcting the estimation errors of K1 and K2 tidal components based on the results of the above steps and using relative admittance. The present invention establishes relative relationships between eight tidal pairs and can effectively obtain the relative admittance relationship of each tidal group. Combined with the ratio of the harmonic constant used in GPS data analysis to the corresponding equilibrium tide harmonic constant, the errors of K1 and K2 tidal components can be effectively corrected and the accuracy of K1 and K2 tidal components can be improved.

The invention relates to a marine environment monitoring method, system and device. The method comprises the following steps: acquiring buoy position data of an average sea level and a marine buoy based on a time sequence in a target marine area; the buoy position data comprises actually measured water depth and actually measured position coordinates; according to the buoy position data, determining a seabed elevation value of any position in the target ocean area so as to construct a seabed elevation model; and determining the current sea level of the ocean according to the sea bottom elevation value and the current actually-measured water depth. Therefore, long-term and continuous real-time observation is completed through the ocean buoy, the submarine elevation model is constructed based on the buoy position data collected in real time, and the long-term submarine topography evolution trend is facilitated. Besides, the current tide level is determined based on the submarine elevation model, the method is not limited by external factors such as weather or ship endurance, does not need to depend on a large platform, supports unmanned operation, and realizes long-term, low-cost and accurate monitoring of submarine topography and ocean tide level under any environmental condition.