199 results about "Geodetic survey" patented technology

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) and GNSS (Global Navigation Satellite System) robust adaptive fusion method for high-precision three-dimensional surface deformation monitoring, which belongs to the technical field of space geodetic survey and remote sensing, and comprises the following steps of: constructing a time sequence deformation field based on a small baseline set time sequence InSAR processing technology, and resampling GNSS observation data to a grid consistent with the InSAR by using Kriging spatial interpolation; a Helmert variance component estimation method is adopted to adaptively estimate variance components of InSAR and GNSS data, and reasonable weight fixing of a multi-source observation value is achieved; iterative reweighted least square estimation is introduced, outlier influences in various observation data are dynamically restrained through a Tukey double-weight function, robust optimization of a fusion model is achieved, and therefore a high-precision three-dimensional deformation field is reconstructed. The method comprises the steps of Helmert weight fixing, IRLS robust, variance component updating and a closed-loop feedback mechanism of weight matrix optimization.

The invention discloses a Beidou satellite orbit determination method and system, a medium and equipment, and relates to the technical field of satellite geodetic survey, and the method comprises the steps: obtaining inter-satellite link distance measurement observation value data, and carrying out the preprocessing; according to the preprocessed observation value data, obtaining a clock-correction-free combined observation quantity and a clock-correction-free combined observation quantity at the same moment, and establishing a clock-correction-free combined observation model and a geometric-correction-free combined observation model; after the inter-satellite link observation residual error is fitted, a time domain is converted into a frequency domain through Fourier transform, and a periodic signal of the frequency domain is detected; establishing a link observation model, introducing a star-star pair deviation of an inter-satellite link, and adding a cosine term and a sine term of an orbital period parameter to obtain an improved link observation model; converting the refined link observation equation in the observation time period into a normal equation form, superposing all normal equations, and processing through a least square method to obtain to-be-estimated orbit parameters; and performing orbit fitting on the to-be-estimated orbit parameters to obtain orbit parameters, and further confirming a Beidou satellite orbit determination result.

The invention relates to a coal mine equipment cooperative control system based on digital twinning, and belongs to the field of coal mine intellectualization. According to the system, the equipment state, environmental parameters and fault data are acquired in real time through the data acquisition layer; the data processing layer realizes multi-source data fusion and fault prediction by using a deep fusion neural network and a space-time attention network; the digital twinborn layer constructs a three-dimensional dynamic model based on unified geodetic coordinate system coupling equipment and geodetic survey information; and the control layer adopts a distributed stream computing framework to execute collaborative scheduling, active disturbance rejection speed control and fault prediction compensation. The problems that in the prior art, spatial position expression is missing, collaborative delay is high, data are not synchronous, and complex working condition adaptability is poor are solved. The method has the beneficial effects that total-factor high-precision space coupling is realized, the collaborative delay bottleneck is overcome, the adaptability to complex working conditions is enhanced, a closed-loop intelligent optimization system is constructed, and full-chain transparent management and control of the coal mine are promoted.

The invention discloses an EAM data set polar shift forecasting method based on noise suppression, and belongs to the technical field of earth science, and the method comprises the steps: obtaining polar shift observation data in an IERS C04 data set, and obtaining geodetic measurement angular momentum data through the conversion of a Arweel equation; obtaining an effective angular momentum data set, and performing noise reduction processing on effective angular momentum observation data in the effective angular momentum data set by using the geodetic measurement angular momentum data to obtain effective angular momentum observation data after noise reduction processing; splicing the effective angular momentum observation data and the effective angular momentum forecast data, performing least square fitting on the obtained spliced effective angular momentum data, and further combining with a Kalman filtering algorithm for noise reduction to obtain effective angular momentum forecast data after noise reduction processing; and based on the effective angular momentum observation data after the noise reduction processing and the effective angular momentum forecast data after the noise reduction processing, carrying out polar shift forecast. According to the method, the polar shift forecasting precision is effectively improved.

The invention relates to a method and device for determining a lunar gravity field by using an inter-satellite frequency signal time-frequency link, and the method comprises the steps: connecting an earth observation station, a static satellite and a lunar polar orbit satellite which are provided with an atomic clock through a satellite carrying a clock system based on a generalized relativistic theory, and carrying out the time-frequency transmission through a satellite time-frequency transmission method, the gravity potential difference between the earth and the satellite and the gravity potential difference between the satellite and the moon polar orbit satellite are measured through a gravity frequency shift method, the gravity potential data of the moon polar orbit satellite are obtained through an inter-satellite time-frequency link according to the earth gravity potential data, and then the moon gravity field is determined through a physical geodetic measurement method. Therefore, the problems that the prior art is difficult to implement on the surface of the moon and the gravity potential of the moon and the earth cannot be connected are solved.

The invention relates to the technical field of geodetic survey and structural health monitoring, and discloses a GNSS-RTK coordinate domain error correction method, which comprises the following steps: acquiring GNSS-RTK dynamic observation data to form a mixed signal time sequence; executing an improved adaptive noise complete empirical mode decomposition algorithm on the sequence to obtain an intrinsic mode function component; identifying and eliminating high-frequency components representing Gaussian white noise based on an energy coefficient, and reconstructing residual components into a signal sequence after primary noise reduction; inputting the noise reduction sequence into a rapid independent component analysis model for blind source separation; and finally, carrying out sorting and phase and amplitude uncertainty correction on the separated independent components, and outputting a multi-path error model and a structure dynamic deformation signal. According to the method, the problem of blind source separation failure or low precision caused by strong noise covering source signal statistical characteristics is solved through a strategy of first noise reduction and then separation, and an effective physical signal can be accurately extracted from a strong noise background.

The invention discloses a global navigation satellite system (GNSS) coordinate time sequence prediction method for optimizing a support vector machine (SVM) based on a genetic algorithm, which belongs to the technical field of geodetic measurement deformation monitoring, and comprises the following steps of: S1, collecting geophysical effect data and GNSS time sequences of a plurality of GNSS sites in a certain region, and processing to obtain a complete time sequence of each GNSS site; s2, constructing a GA-SVM (Genetic Algorithm-Support Vector Machine) model: optimizing a support vector machine model by utilizing a genetic algorithm to obtain a GA-SVM model meeting each GNSS site; and S3, performing model evaluation and prediction. According to the method, the GNSS is predicted by adopting the geophysical effect and other four feature data, and the GA is adopted for optimization, so that multi-objective optimization can be carried out, the parameter optimization problem in high-dimensional data is solved, and the expression of the model on the high-dimensional data is improved; meanwhile, sufficient training and verification data are provided for the model, the training effect and prediction precision of the model are improved, and the model has higher precision and generalization ability.

The invention belongs to the technical field of earth crust information, and aims to provide an earth crust stability multi-dimensional quantitative evaluation method which integrates earth surface deformation, underground activities, modern geodetic survey and long-term geological data. A crustal stability multi-dimensional monitoring and evaluation technology system composed of a plurality of first-level index and second-level index parameters is determined from different spatial and temporal scales, the objectivity and scientific rationality of safety quantitative evaluation of areas along urban activity fractures are remarkably improved, and guarantee is provided for engineering layout site selection and high-quality operation and maintenance.

The invention discloses an ionospheric scintillation monitoring method based on a geodetic measurement receiver, which belongs to the technical field of satellite navigation, and comprises the following steps of: accurately eliminating non-scintillation errors by constructing an inter-station single-difference function model and an inter-station single-difference random model, extracting carrier phase residual errors by using a single epoch ambiguity fixing technology, and finally obtaining an ionospheric scintillation monitoring result. Establishing a reliable ionospheric scintillation monitoring index; according to the ionospheric scintillation monitoring method based on the geodetic measurement type receiver, high-precision real-time monitoring of ionospheric scintillation can be realized through a single-epoch ambiguity fixing technology under the condition of not depending on an external precision product, and reliable technical support is provided for space weather monitoring.

The invention provides a residual terrain correction estimation method based on PINNs and a residual terrain model, and relates to the technical field of geodetic survey, a data set is randomly divided into a training data set and a test data set, a residual terrain gravity anomaly of each data set is obtained through RTM as an output, the network architecture of the PINNs is a full-connection neural network, and the network architecture of the PINNs is a full-connection neural network. Associating the output quantity and the gravitational potential quantity of the RTM model according to a basic equation of physics geodetics to serve as a boundary value condition; and taking the weighted sum of the physical loss function and the data loss function as a total loss function and an initial full-connection neural network weight parameter of the full-connection neural network, training the constructed full-connection neural network through a training data set, and achieving the requirements of small calculation amount, low required data complexity and high precision through the method.

The invention discloses a three-dimensional elastic block-fault motion deformation coupling model construction method and system. Comprising the following steps: acquiring geodetic survey data of earth crust movement between earthquakes and an active fault distribution map, and dividing different active blocks; the movable blocks are associated with geodetic measurement data through spatial position attributes, and motion features of different blocks are distinguished; adjacent boundaries are extracted to serve as modeling boundary faults, and discretization processing is carried out; constructing a three-dimensional elastic block-fault motion deformation coupling model including block rotation, internal strain, fault normal velocity discontinuity counteracting, inclined fault positive slippage and negative dislocation response; inverting parameters of the three-dimensional elastic block-fault motion deformation coupling model by adopting a constrained least square method; and according to the coupling coefficient, identifying the potential pregnancy and earthquake concave-convex body on the fault. According to the method, a more complete inter-earthquake three-dimensional elastic model is established, and support is provided for accurate research of active fault coupling characteristics, recognition of gestational earthquake concave-convex bodies and judgment of major earthquake dangerous areas.

The invention relates to the technical field of geodetic survey, in particular to a method for measuring the altitude based on GNSS frequency signals of a Chinese space station. Data such as GNSS satellite precision orbits, clock errors and earth rotation parameters are obtained from an IGS analysis center, RINEX format data are obtained through synchronous observation of a space station receiver and a ground station receiver, and the gravity potential of the space station at the observation moment is determined in combination with an EIGEN-6C4 gravity field model. Deriving a frequency observation value from the carrier phase observation value, establishing an observation equation in a double-frequency ionosphere elimination processing mode, resolving the gravity potential difference between the space station and the ground station, and finally obtaining the gravity potential and the altitude of the ground station. According to the invention, traditional leveling and gravity measurement can be replaced, the cost is obviously reduced, the environmental limitation is overcome, and cross-sea and cross-ocean elevation transmission and global elevation datum unification are supported.

An automatic stationing functionality of a geodetic survey instrument. The survey instrument comprising a targeting unit configured to provide a targeting data measurement, an inertial measurement unit (IMU), an imaging sensor unit configured for providing the functionalities of a visual positioning system (VPS), a communication interface configured to receive a design data comprising position information of reference markers in the environment, and a computing unit. The automatic stationing functionality being configured for calculating a coarse pose of the instrument based on the IU and / or the VPS pose data, selecting a plurality of reference markers to be targeted based on the coarse pose and the design data, and determining a fine pose of the instrument based on the targeting data measurement of the plurality reference markers.

The invention discloses an optical fiber sensing-Beidou fusion dam safety multi-dimensional early warning system and method and application. The method comprises the steps that Beidou high-precision three-dimensional coordinate time sequences of key measuring points of a dam body and a near dam, optical fiber continuous strain fields / temperature fields (distributed) in the dam body, strain / temperature point values (quasi-distributed) of key parts and basic static information are collected; unifying a geodetic measurement coordinate system and NTP / PTP time reference, and preprocessing data; on the basis of a dam refined FEM assimilation engine, Beidou displacement is used as dynamic constraint, optical fiber data is used as verification observation quantity, EKF correction parameters are used for inverting a global stress-strain field, and Bayesian optimization is carried out to realize model evolution when residual errors are abnormal; and an M-HWI is constructed, four-level threshold values of normal-attention-early warning-alarm are compared, a response is triggered, early warning is pushed, and an abnormal region is visualized. According to the method, information islands are eliminated, the instability process is tracked in a refined manner, and the early warning accuracy, the diagnosis globality and the long-term monitoring reliability are improved.

The embodiment of the invention discloses an all-day and all-world time measurement method and device. A specific embodiment of the method comprises the following steps: constructing a short-wave infrared astronomical survey star catalogue; constructing a short-wave infrared astronomical geodetic survey star database according to the short-wave infrared astronomical survey star catalogue; optimizing the short-wave infrared astronomical geodetic survey star library to obtain an optimized short-wave infrared astronomical geodetic survey star library, and correcting atmospheric refraction errors in the optimized short-wave infrared astronomical geodetic survey star library; carrying out all-day fixed star point coordinate extraction on the shot multi-frame daytime star map to obtain fixed star point coordinates; and according to the star point coordinates of the fixed star, carrying out all-day astronomical observation world time calculation on the observation fixed star to obtain all-day world time. According to the embodiment, unified comparison of multi-period monitoring data is realized, and the engineering practicability of a monitoring result is improved.

The invention relates to methods for providing geodetic datum transformation information applicable to a region of the Earth, for use by a navigation satellite system (NSS) receiver and / or a processing entity capable of receiving data therefrom. In one embodiment, the method comprises: generating (s10a) similarity transformation parameters and, for each of a plurality of reference stations in the region, post-fit transformation residuals applicable to the reference station; and sending (s20a) the transformation parameters and output residuals applicable to output points, wherein an output residual is one of the post-fit transformation residuals or derived therefrom; and the distribution of the output points in the region depends on the distribution of the reference stations. The invention also relates to variants of the above-mentioned method, to methods for receiving and processing the geodetic datum transformation information, and to systems, computer programs, and computer program products for carrying out such methods.

The invention is suitable for the technical field of geodetic survey, and provides an InSAR turbulent atmosphere correction method based on a three-dimensional random model, and the method comprises the steps: obtaining M interferograms corresponding to N-scene SAR images of a research region, dividing each interferogram into Y windows through a window with a preset size, taking the phase information in the yth window of all interferograms as the yth observation window; for each observation window, constructing a space-time three-dimensional random model in the observation window according to the M interferograms, constructing a function model of all pixels in the observation window, and solving by using a weighted least square method to obtain a deformation parameter corresponding to the observation window; the deformation parameters corresponding to all the observation windows are spliced, and the deformation phase of the research area is obtained through calculation based on the splicing result. The influence of turbulent atmosphere can be effectively inhibited.

The invention discloses an elevation datum plane construction method and system based on a low-order cosine correction Stokes kernel function, a medium and a product, and relates to the technical field of physical geodetic survey. The method comprises the following steps: calculating by utilizing an earth gravitational field model, topographic data and a high-frequency topographic influence combined algorithm to obtain model data, direct influence of topographic compression on ground gravity anomaly and indirect influence of topographic compression on an elevation datum plane; determining an empirical value and a test value of a correction order of the low-order cosine correction Stokes kernel function based on the accumulative error of the model gravity anomaly and the test frequency bandwidth; calculating an empirical elevation datum plane and a test elevation datum plane based on the empirical value and the test value of the correction order by adopting a low-order cosine correction Stokes kernel function; and determining a final elevation datum based on the empirical elevation datum and the test elevation datum. The construction precision of the elevation datum plane can be improved.

The invention belongs to the technical field of space geodetic survey observation data inversion regional land water reserve change, and provides a method and related equipment for inversion of land water reserves based on a Slepian basis function combined with GNSS three-dimensional deformation, and the method comprises the steps: obtaining vertical and horizontal deformation observation values of GNSS through simulation; determining a Slepian primary function of the target area according to the boundary data and a preset maximum expansion order, and further determining a function relationship between a Slepian coefficient of GNSS three-dimensional deformation and a Slepian coefficient driven by mass load change; determining an observation equation according to the function relationship, and resolving the observation equation by adopting least square joint adjustment; and according to the Slepian coefficient driven by the mass load change, carrying out inversion on the regional land water reserves of the target region to obtain a regional land water reserve change result. The method has the beneficial effect that the precision and efficiency of regional land water reserve inversion are improved.

The invention discloses a multimode multi-frequency GNSS-IR soil humidity inversion method based on PID search and dynamic time warping, and belongs to the technical field of GNSS interference reflection remote sensing and soil humidity monitoring. The method is based on GNSS original observation data of a geodetic measurement type receiver, and comprises the following steps: firstly, extracting signal-to-noise ratios, elevation angles and azimuth angles of satellites, and separating reflected signals through polynomial fitting; optimizing a nonlinear least square algorithm by adopting a PID (Proportion Integration Differentiation) search algorithm to obtain accurate amplitude and phase; and finally, selecting available satellites by adopting a dynamic time warping satellite selection method and an amplitude weighted fusion strategy, and carrying out effective fusion in combination with the amplitude. According to the method, phase jump can be effectively inhibited, low-quality satellites are eliminated, accurate inversion of the soil humidity can be realized without depending on massive prior information, and the method has higher applicability.

The invention discloses an ocean current monitoring method based on submarine mooring subsurface buoy tracking and positioning, belongs to the technical field of underwater navigation and positioning, is used for ocean current monitoring, and comprises the following steps: implementing attitude correction of a GNSS (Global Navigation Satellite System) antenna, and obtaining a sound signal emission position of a sea surface transducer; establishing a sea surface-seabed sonar observation equation based on acoustic time measurement data and sound velocity profile data between sea surface and seabed anchor system subsurface buoys, establishing a seabed anchor system subsurface buoy motion constraint equation based on a random walk model, and forming a positioning model considering seabed anchor system subsurface buoy motion characteristics; and carrying out adjustment calculation on the positioning model considering the motion characteristics of the submarine anchor system subsurface buoy to obtain a coordinate sequence of the submarine anchor system subsurface buoy, and carrying out smoothing processing on the coordinate sequence to obtain an ocean current motion trail. According to the invention, the motion sequence of the subsurface buoy is tracked and positioned, so that the motion trail of the ocean current is monitored, and the physical ocean environment of km scale magnitude based on the ocean geodetic survey technology is monitored.

The invention relates to the technical field of geodetic surveying instruments and geological disaster monitoring, and discloses a geological environment displacement surveying system based on a GNSS multipath effect, and the system comprises a signal collection unit which is used for receiving a satellite signal and extracting a signal-to-noise ratio sequence; the interference feature separation unit is used for stripping a direct signal power component and generating a residual oscillation sequence; the geometric inversion calculation unit is used for generating a reference interferometric phase template in a height search domain, and generating a height-correlation map to lock the current vertical height by calculating and superposing correlation coefficients between the residual oscillation sequence and the reference interferometric phase template; according to the invention, through a spatial domain geometric matching mechanism, high-precision distance measurement is realized in a complex environment in which a satellite visual segmental arc is broken, dependence of a traditional spectral analysis method on observation duration is broken through, and signal-to-noise ratio data endogenesis is utilized to decouple observation station attitudes and environmental medium attributes. And the stability and the multi-dimensional perception capability are improved.

The invention discloses a relative motion positioning method, system and device of a multi-seabed beacon network, a medium and a product, and relates to the technical field of ocean geodetic measurement data processing, and the method comprises the steps: determining a priori value of sound velocity deviation of the multi-seabed beacon network; respectively constructing a quadratic polynomial model of each seabed beacon and a grouping adjustment function model of each sampling observation moment; initializing a quadratic polynomial model of each seabed beacon and a grouping adjustment function model of all sampling observation moments; performing iterative solution on the quadratic polynomial models of all the seabed beacons and the grouping adjustment function models of all the sampling observation moments by using a least square method so as to obtain seabed beacon motion models of all the seabed beacons; and when the current seabed beacon is observed at the current moment, substituting the current moment into the seabed beacon motion model of the current seabed beacon to obtain a motion three-dimensional coordinate of the current seabed beacon at the current moment. According to the invention, the relative positioning precision of the seabed beacons is improved.

1. Name of the product in this design: Geodetic Antenna. 2. Applications of this design: It is used for high-precision GNSS static observation, urban GNSS-CORS systems, health monitoring of large buildings, roads and bridges, rivers and seas, dams, etc., geodetic and engineering surveying, deformation monitoring and other occasions that require high-precision real-time dynamic monitoring of spatial position. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present application relates to the technical field of geophysics, and particularly relates to a method for predicting earth rotation parameters based on least squares and long short-term memory network, comprising: collecting and preprocessing basic sequence data of earth rotation and effective angular momentum data; converting the preprocessed basic sequence data of earth rotation into geodetic angular momentum; fitting the effective angular momentum data and the geodetic angular momentum to obtain fitted sequences and residual sequences of the effective angular momentum and the geodetic angular momentum respectively; inputting the residual sequences of the effective angular momentum and the geodetic angular momentum into a long short-term memory network model to obtain error terms of the effective angular momentum and the geodetic angular momentum; and integrating the fitted sequences of the effective angular momentum and the fitted sequences, the error terms of the effective angular momentum and the geodetic angular momentum to obtain a prediction result of the earth rotation parameters. Thus, the problems that the traditional earth rotation parameter prediction method is difficult to capture the complex nonlinear characteristics in the change of the rotation parameters are solved.

This invention relates to the field of gravity inversion technology, specifically a method for joint inversion of groundwater spatiotemporal variations from multi-source geodetic data. The method includes the following steps: Kalman filtering is used to recursively update the nearest neighbor covariance and variance records at the epoch level, simultaneously improving the spatial and temporal stability of groundwater states. This avoids amplifying the impact of single-epoch anomalies on the overall inversion results and maintains the traceability of water thickness change trends during periods of fluctuating observation quality. The Levenburg-Marquardt method is used to iteratively correct the water thickness trajectory within a time window, allowing gravity residuals and deformation residuals to jointly constrain the trajectory adjustment direction in a weighted manner, preventing anomaly adjustments from spreading to adjacent epochs. This gives the fluctuation range after the time series is expanded clear physical meaning. By establishing a hierarchical constraint relationship at the epoch and time window levels, the reliability and interpretability of groundwater changes in long-term assessment and anomaly detection scenarios are improved.

The present application relates to the field of geodetic surveying, and particularly relates to a method for determining altitude based on GNSS frequency signals of Chinese space station. Through obtaining data such as GNSS satellite precise orbit, clock error and earth rotation parameters from IGS analysis center, RINEX format data is obtained by using synchronous observation of space station and ground station receiver, and the gravity potential of space station observation moment is determined in combination with EIGEN-6C4 gravity field model. The frequency observation value is derived from the carrier phase observation value, the observation equation is established in the dual-frequency ionosphere elimination processing mode, the gravity potential difference between space station and ground station is solved, and finally the gravity potential and altitude of ground station are obtained. The present application can replace the traditional leveling and gravity measurement, significantly reduce the cost, overcome the environmental restriction, and support the cross-sea and cross-ocean height transfer and the global height datum unification.

The invention relates to the technical field of geodetic measuring instruments, in particular to a geodetic measuring device with thermal imaging, which comprises a rotating mechanism, and a supporting mechanism is rotatably arranged on the rotating mechanism in a matched manner; a driving mechanism is arranged on the rotating mechanism; the driving mechanism is connected with the mounting mechanism in a matched mode. Two mounting plates are symmetrically fixed on the mounting mechanism; a fixing mechanism is connected to the mounting plate in a matched mode. A main body mechanism is fixed on the mounting mechanism in a matched manner; the supporting height of the supporting mechanism can be adjusted by rotating the supporting mechanism with hands, so that the placement height of the main body mechanism can be adjusted conveniently; the rotating driving mechanism drives the mounting mechanism to rotate when rotating in the rotating mechanism, so that the measurement direction of the main body mechanism can be adjusted conveniently; and when the fixing mechanism is pulled and rotated, the fixing mechanism can slide into the mounting plate from the interior of the mounting mechanism, so that an operator can mount and dismount the main body mechanism conveniently.

The application discloses an ionosphere total electron content prediction method, a model training method and a system, relates to the field of satellite geodesy and space weather prediction, and the model training method comprises: an ionosphere total electron content prediction model comprising an encoder part of a stacked autoencoder, an Informer network and a decoder part of the stacked autoencoder connected in sequence; wherein the model training comprises stacked autoencoder training and Informer network training. The ionosphere total electron content prediction model is constructed based on the Informer network and the stacked autoencoder, the ionosphere total electron content prediction model is used for ionosphere total electron content prediction, the time complexity is reduced, the memory occupation is reduced, and the ionosphere total electron content prediction efficiency is improved.