42 results about "Geopotential model" patented technology

The application discloses a satellite orbit prediction method, system, device and medium based on a gravity field vectorization calculation model, and the method comprises the following steps: establishing a motion equation of a satellite in an inertial system; constructing a gravity field fast calculation model; dividing a gradient formula of a gravity field potential position into a sum of a harmonic part and a non-harmonic part, and performing vectorization reconstruction to obtain a gravity field vectorization calculation model; obtaining a position and a velocity vector of the satellite at an initial moment, inputting the position and the velocity vector into the motion equation of the satellite in the inertial system, combining the gravity field vectorization calculation model, and solving the satellite orbit by using a numerical integration method. The gravity field vectorization calculation model is numerically equivalent to a traditional loop algorithm, the accuracy of the gravity field model is ensured without loss, the traditional double loop structure is replaced by matrix operation, the calculation efficiency of a high-order gravity field is significantly improved, and therefore, the satellite orbit prediction calculation efficiency is improved on the basis of ensuring the accuracy.

This invention relates to the field of deep learning technology and discloses a real-time regional gravity field modeling method and system based on deep neural networks. The method includes the following steps: acquiring ground gravity measurement data and calculating the original ground gravity anomaly at discrete ground points; introducing a global gravity field model to obtain the long-wave gravity anomaly component of the discrete ground points in real time; introducing a deep fully connected neural network (FC-DNN); calculating the short-wave gravity anomaly component of the discrete ground points in real time; introducing a convolutional neural network (CNN); predicting the residual gravity anomaly component of the discrete ground points in real time; and fusing the residual gravity anomaly component, short-wave gravity anomaly component, and long-wave gravity anomaly component of the discrete ground points to complete the modeling of the regional ground gravity field. This invention features high training efficiency and fast inference speed, solving the problem of insufficient computational efficiency in existing gravity field modeling methods.

The invention discloses a gravity anomaly correction method and system for high-altitude tunnel distance measurement, and relates to the technical field of engineering surveying and physical geodetic surveying. The method comprises the following steps: firstly, judging the type of a measurement section, and constructing potential constraints by using a global background gravity field model and a digital elevation model; performing gravitational field forward modeling based on physical model parameters, generating a shaft axis gravity or tunnel axis vertical line deviation sequence, and performing physical reduction on ranging data; actual measurement gravity is collected, a residual error sequence is constructed, the residual error sequence is mapped into a ranging correction error through a sensitivity matrix, and a through error projection value is obtained through propagation; and finally, taking the minimum residual error as a target to invert and update the parameter until the through error meets a threshold value. According to the method, the closed-loop iteration of measurement section-strategy-index is established, so that the data calibers of the vertical shaft and the adit are effectively unified, and the influence of gravity anomaly on the penetration precision is inhibited.

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 invention provides a spectrum-combined high-resolution gravity field modeling method, which comprises the following steps of: collecting satellite gravity field model data, high-order gravity field model data and topographic data, performing gravity field spectrum analysis, and screening an optimal spectrum combination; standardization processing based on tidal system consistency conversion and reference ellipsoid parameter unification is carried out; performing weighted combination on the satellite gravity field model and the high-order gravity field model by adopting a least square weighted combination method to obtain a medium-long wave gravity field model of spectrum combination; calculating a medium-long wave gravity field; obtaining a terrain forward modeling gravitational field model used for representing a high-frequency gravitational field based on the terrain data through fusion based on a space domain and a frequency spectrum domain, and calculating a terrain forward modeling high-frequency gravitational field; and fusing the medium-long wave gravitational field with the terrain forward modeling high-frequency gravitational field to obtain a full-spectrum gravitational field. The problems that leakage errors exist in combination of medium-long wave gravity field modeling and the influence of selection of a reference plane on the modeling precision of a high-frequency gravity field is ignored are solved.

A geoid construction method based on least square spectrum combination and spherical wavelets specifically comprises the steps that firstly, multi-source gravity data, including global gravity field model data, airborne gravity data and ground gravity data, of an area to be constructed are obtained; then, according to the signal and error spectrum characteristics of each data source, the effective contributions are respectively assigned to low-frequency, intermediate-frequency and high-frequency components; firstly, a frequency spectrum weight function is constructed based on a modified spherical Butterworth function so as to accurately define low-frequency, intermediate-frequency and high-frequency wavebands; then performing weighted modeling on the multi-source gravity observation data by utilizing the determined spectral weight, and respectively establishing low-frequency, intermediate-frequency and high-frequency geoid component models; and obtaining a zero-order term and a conversion parameter, and then combining the optimal weights of the low-frequency component, the intermediate-frequency component and the high-frequency component with the zero-order term and the conversion parameter to obtain a final geoid result. The geoid modeling stability in the complex terrain area is good.