27 results about "Geodetic survey" patented technology

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.

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.

This invention relates to the fields of geodesy and radar engineering technology, and discloses a method, apparatus, and electronic equipment for the directional deployment of corner reflectors. The method includes: determining two measurement reference points in the proposed deployment area of ​​the corner reflector and obtaining the geodetic coordinates of the measurement reference points, and then calculating the reference azimuth angle of the baseline between the measurement reference points relative to true north; using the reference azimuth angle as a reference, marking two auxiliary points in the proposed deployment area of ​​the corner reflector and determining the local physical baseline; obtaining the design azimuth angle of the corner reflector and calculating the azimuth angle difference between the design azimuth angle and the reference azimuth angle; and using the local physical baseline as a reference, directionally deploying the corner reflector according to the azimuth angle difference. The method provided by this invention can still stably obtain an absolute physical reference pointing to true north even in extreme electromagnetic environments such as substations and building complexes, realizing high-precision deployment of corner reflectors in areas with strong interference.

This invention discloses a target positioning method, apparatus, device, and medium for optical observation. The target positioning method for optical observation collects and caches the relative distance and azimuth of the target using optical observation equipment. Upon detecting a target locking signal triggered by the type or usage of the carrying equipment, the data is immediately frozen and transmitted wirelessly to a mobile terminal. The mobile terminal combines the received data with its own positioning module's current location, calculates the target's geographic coordinates using a geodetic model, marks the location on a map interface, and generates a navigation path. This achieves automatic target location locking and geographic mapping after firing, effectively solving the problems of difficulty and low efficiency caused by the large difference between thermal imaging field of view and the actual landscape, requiring manual GPS repositioning in existing technologies. It significantly improves the accuracy and convenience of target search after long-range nighttime firing.

The present application relates to a kind of continuous elevation measurement method and system based on SINS / LDV combination, belong to geodetic survey field.The system includes strapdown inertial navigation system, laser doppler velocimeter, UPS power supply and navigation computer, wherein, the angular motion and linear motion of sensitive carrier are used to strapdown inertial navigation system;Strapdown inertial navigation system is connected with laser doppler velocimeter and navigation computer respectively;Laser doppler velocimeter is connected with navigation computer, and UPS power supply is connected with strapdown inertial navigation system and laser doppler velocimeter respectively;In order to improve the precision of elevation measurement, the output of laser doppler velocimeter is triggered with the pulse output of strapdown inertial navigation system as benchmark, to prevent the data loss phenomenon caused by the inconsistency of internal crystal oscillator of strapdown inertial navigation system and laser doppler velocimeter.

The application discloses a coseismic dislocation amount calculation method and system based on monocular monitoring video images, belongs to the technical field of earthquake emergency monitoring and space geodetic survey, and sequentially completes video acquisition preprocessing, feature point partition, camera vibration correction and relative displacement calculation, sub-pixel displacement optimization, pixel-physical displacement conversion, coseismic dislocation parameter solving and sliding track reconstruction and result verification output. Image sequences are extracted from monocular monitoring video streams, tracking and correction windows are selected after distortion correction and scale calibration, the influence of camera shaking is eliminated, sub-pixel level displacement measurement is realized by combining a regularization algorithm, a mapping model is established by recalibrating objects to complete displacement conversion and component decomposition, sliding parameters are solved, and a track curve is drawn. The coseismic dislocation amount measurement is low in cost, high in precision and real-time, can capture complex fault sliding dynamics, and supplements a traditional measurement method, thereby providing key data support for earthquake emergency.

The present application belongs to the field of marine surveying and geodetic surveying, and discloses a far-sea GNSS buoy height reference transmission method combined with satellite altimeter, aiming to solve the technical problems of difficult transmission of 1985 national height reference in far-sea area and large height measurement error of GNSS buoy antenna, the method establishes height reference conversion relationship through shore-based leveling joint measurement, carries out precise positioning and calculation on far-sea GNSS buoy observation data, and retains effective sea surface information through low-pass filtering processing; combines satellite altimeter data to carry out space-time matching, inverses and dynamically corrects the height of buoy antenna, converts the ellipsoidal height of buoy sea surface into 1985 national height through geodetic datum difference correction, and finally outputs the results through quality evaluation. The method realizes accurate transmission of far-sea height reference and dynamic correction of the height of buoy antenna, guarantees the reliability of far-sea sea surface height calculation, and provides accurate height data support for far-sea marine observation, marine engineering and other fields.

The present application relates to geodetic surveying, geographic information engineering technical field, specifically point to a kind of geodetic surveying report generation system based on artificial intelligence, surveying specification analysis engine output specification quantization rule set synchronous transmission to each module;Multi-source surveying data acquisition module transmits multi-source spatial data and acquisition full parameter to adaptive pose solution module and penetrating responsibility traceability module;Adaptive pose solution module exports point cloud data to compliance check and report generation module, unqualified data back transmission correction;Qualified data are sent into perception meta-learning module, and its processing result is checked again, and unqualified back transmission, and the report content and full-link compliance check record synchronous transmission to penetrating responsibility traceability module.The present application quantizes and disassembles surveying specification and uniformly executes, adaptive pose solution adapts project accuracy, meta-learning multi-task processing depth binding specification, through process check back transmission and full-link traceability, clear error component and responsibility attribution.

1. Name of the design product: Global Satellite Navigation System Reference Station Receiver. 2. Use of the design product: For satellite positioning, especially for precise geodesy or precise engineering surveying, such as for construction site positioning, crack monitoring, foundation pit monitoring, house deformation monitoring, slope monitoring, ground subsidence monitoring, and construction surveying of wharfs, dams, bridges, tunnels, or subways. 3. Design points of the design product: In shape. 4. Picture or photo best indicating the design points: Perspective view.

The utility model relates to horizontal measuring instrument support technical field discloses a modular tripod structure suitable for geodetic survey, including base, the bottom hinged of base has main support leg no.

This application discloses a precise correction method for the GNSS vertical velocity field based on multi-source load modeling, relating to the fields of geodesy and geophysics. The method includes: acquiring multi-source surface mass load data; constructing a multi-source load dataset; calculating the vertical displacement response of the Earth's surface under point loads based on an elastic Earth model and using Farrell's load Green's function theory, obtaining the load Green's function by solving for the load Love number and summing Legendre series; using the spherical Green's function integration method to calculate the vertical displacement of each grid point on the global grid caused by all mass loads, constructing a global load deformation field, performing time series analysis, and extracting the load correction at the locations of each GNSS station globally; subtracting the load correction from the global GNSS vertical velocity field, while simultaneously subtracting the glacial isostatic adjustment effect, to obtain the corrected GNSS vertical velocity field. This application can obtain accurate and reliable GNSS vertical velocity information.

This application discloses a GNSS-based deformation monitoring method, device, equipment, and medium, relating to the fields of geodesy and geophysics. The method includes: collecting raw GNSS observation data through a monitoring station deployed on a target structure; collecting reference GNSS observation data through a reference station deployed at a benchmark point; calculating real-time velocity vectors based on the raw GNSS observation data using edge computing nodes; obtaining absolute three-dimensional coordinates through baseline calculation using the raw and reference GNSS observation data via a cloud server, and distributing the absolute three-dimensional coordinates to the edge computing nodes; calculating displacement changes through the edge computing nodes to obtain the displacement sequence of the monitoring station, and providing deformation early warning based on the displacement sequence. This application can independently provide early warning of sudden deformation based on velocity vector integration even when communication is interrupted, solving the problem of traditional real-time dynamic technologies failing upon network outages, and significantly improving reliability and robustness in harsh field environments.

The application discloses a satellite and visual multi-modal sea ice perception fusion method and system based on an aerial view prior, and the method comprises the following steps: acquiring a sea ice satellite map based on a world geodetic system; converting the sea ice satellite map into a first feature map containing rich spatial context information, and extracting a second feature map based on the sea ice satellite map; fusing the first feature map and the second feature map to obtain a fusion feature map; and decoding and converting the fusion feature map to obtain a final sea ice map.

A geodesy technique using telecommunication fiber-optic cables for real-time monitoring of subsurface quasi-static deformations. The fiber-optic cables comprise dense arrays of strainmeters, measuring strain rate data by processing the low-frequency content of cable vibration or deformation signals contained in optical backscattering. The technique is demonstrated to image the magma movement during dike intrusion events at minute time scale, exhibiting enhanced sensitivity and achieving high-temporal resolution and low noise levels with minimal data processing. The system can measure subsurface deformation in both onshore and offshore environments.

The application relates to a land survey area measurement method, device, equipment and medium. The method comprises the following steps: pre-processing and scene complexity evaluation are performed on surveying and mapping images, a comprehensive state vector is generated in combination with a computing resource state and an aircraft state; the comprehensive state vector is input into a deep reinforcement learning decision model to obtain an inference configuration action; the surveying and mapping images are cropped and / or scaled according to the inference configuration action to generate adaptive input images, and a semantic segmentation model is used to perform forward inference on the adaptive input images to obtain a semantic segmentation result image; area results and geographical boundary information are generated and cached based on geographical reference information and the semantic segmentation result image; spatial fusion and deduplication processing are performed on all the surveying and mapping images based on the geographical boundary information and the area results, a target land class continuous distribution map is generated, and the total area of the target land class in the surveying and mapping area is calculated based on the target land class continuous distribution map. The method can improve the task completion rate and the overall surveying and mapping efficiency.

The present application relates to the technical field of seismic data processing, and more particularly to a source rupture process inversion method and system based on multi-source observation data; the present application jointly uses multi-source observation data of earthquakes and geodetic survey, combines multi-dimensional advantage resolution capability, and obtains more accurate inversion results; meanwhile, the present application constructs a fault geometry model adaptive to different complexity sources, which is more suitable for the real three-dimensional form of the seismogenic fault; in addition, the present application proposes a space-time scale adaptive smoothing constraint based on the driving of the rupture physical process, realizes the synchronous regulation of the space-time constraint strength by a single hyperparameter, and obviously reduces the difficulty of hyperparameter selection; the present application also realizes the compatibility of at least two fault motion mechanisms by the non-negative constraint of the half-space inequality of the main sliding direction, while prohibiting non-physical reverse sliding, and improves the physical rationality of the inversion model.

This invention discloses a method and system for predicting tropospheric wet delay based on a physical information neural network. The method first collects real-time meteorological observation data from GNSS stations and preprocesses it. Then, it constructs a tropospheric wet delay prediction model, including a data input module, a hierarchical feature extraction module, a physical information neural network calculation module, and an output module. Next, it trains the tropospheric wet delay prediction model using a training dataset. Finally, it uses the trained tropospheric wet delay prediction model to predict tropospheric wet delay. By explicitly embedding atmospheric refraction physical constraints into the loss function through the physical information neural network framework, it achieves collaborative training and stable extrapolation of data-driven and physical constraints. This invention provides a new paradigm for the unified quantification of physical constraints and uncertainties in high-precision GNSS geodetic data processing and application technology, and offers a more comprehensive and reliable technical solution for the practical application of tropospheric delay correction.

The present application relates to geophysics and geodetic data processing technical field, disclose the GNSS time series analysis and modeling method considering variable amplitude, the method comprises the following steps: S1, obtain the GNSS coordinate time series;S2, time series is modeled as the Gaussian process defined by mean function and covariance function;S3, construct the mean function describing long-term linear trend;S4, construct the product kernel by the periodic kernel and the non-periodic smooth kernel multiplication as the covariance function, to unify the periodicity and time-varying amplitude of the signal modeling;S5, the maximum likelihood estimation method is used to solve the hyperparameter in model;S6, the time series is decomposed by using the optimized model, and the time-varying amplitude periodic signal is obtained.The present application can integrally model the periodic signal and its time-varying amplitude by constructing the Gaussian process product kernel, so as to realize the accurate separation of signal component.

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 present application belongs to the field of geodetic survey and geophysical exploration, and discloses a real-time gravity potential measurement method and device combining unmanned aerial vehicle and Beidou, which comprises the following steps: step 1: system calibration; before the start of flight task execution, the unmanned aerial vehicle is parked on a ground calibration reference point with known gravity potential for static observation; step 2: real-time Beidou data acquisition; the unmanned aerial vehicle flies according to a preset route, and each trajectory point is observed for a certain time; step 3: real-time receiver clock error solving; an observation equation based on the current trajectory point is established to solve the three-dimensional coordinates and GNSS receiver clock error of the current trajectory point; step 4: gravity potential solving; the absolute gravity potential value of any point on the flight trajectory of the unmanned aerial vehicle is solved in combination with the receiver clock error obtained during the flight calibration of the unmanned aerial vehicle in step 1; and step 5: data output and mapping. The present application completes high-precision gravity potential measurement on a mobile platform, and breaks through the limitation of traditional gravity measurement relying on static observation or ground layout.

This invention belongs to the field of geodesy technology, specifically providing a rigorous method, electronic device, and storage medium for atmospheric reduction in geoid determination that takes into account topography and three-dimensional density distribution. The method includes constructing a global three-dimensional atmospheric density model; establishing a precise calculation model of atmospheric effects; and determining the impact of atmospheric reduction on the geoid. This invention proposes a rigorous atmospheric mass adjustment scheme using the generalized Helmert condensation method; it constructs a global three-dimensional atmospheric density model using actual atmospheric data and establishes a precise calculation model of atmospheric effects in conjunction with a global digital elevation model; and it employs a high-precision gravity forward modeling algorithm based on spherical prisms and thin-layer spherical units, taking into account the effects of Earth's curvature, to accurately calculate the direct atmospheric effects, major indirect atmospheric effects, and minor indirect atmospheric effects.

This application relates to the field of geodesy technology, and particularly to a refined projection deformation calculation method and program product based on a three-dimensional traversal grid. The method includes: dividing the projected elevation surface of the area to be measured into a grid, and obtaining the first planar coordinate data and first geodetic coordinate data of the grid vertices; generating circular regions with preset radii centered on the grid vertices, and generating rays from the centers at preset intervals, and identifying the second planar coordinate data and second geodetic coordinate data of the intersection points formed by the rays and the circular regions; calculating the length deformation and / or angular deformation between the grid vertices and the intersection points to obtain the projection deformation result. This solves the problem in related technologies where experience-driven sampling inspection and evaluation easily overlooks projection deformation exceeding limits when the terrain is undulating or the area is irregular, thus creating potential risks in engineering decision-making.

This application relates to the field of space geodesy technology, and provides a method and related equipment for cavity filling for satellite nadir points. The method includes: acquiring data to be filled, land mask data, and cavity mask data for the region corresponding to the satellite nadir point; analyzing the land mask data and cavity mask data to obtain multiple cavity sub-blocks, and extracting points from each cavity sub-block to obtain multiple known points within each cavity sub-block; for each cavity sub-block, interpolating the data to be filled based on all known points in the cavity sub-block to obtain a filling sub-block; performing error verification on each filling sub-block to obtain a final filling sub-block; and filling the cavities in the data to be filled based on all the final filling sub-blocks to obtain the final filled data. This method can improve the accuracy of cavity filling.

This utility model pertains to geodesy and is intended for determining the horizontal and vertical positions of objects. The essence of the claimed utility model lies in the development of a device consisting of a removable structure consisting of two connected parts, installed using a latch and a hinged joint, allowing the desired height of the pole to be set by securing the reflective element via a threaded connection. The technical result of the proposed technical solution is the precise setting of the height of the geodetic pole to a scale. 3 fig.

The application discloses a GNSS and leveling fusion ground deformation monitoring method and system with dynamic optimization weight, and relates to the technical field of geodesy and deformation monitoring.The method comprises the following steps: analyzing leveling and GNSS rate observation data; setting the elevation correction number and subsidence rate parameter of a monitoring point as unknown parameters, constructing adjustment observation equations coupled with observation time and subsidence rate parameters, forming a design matrix, an observation vector and an initial weight matrix; performing dynamic weight optimization, introducing a global weight factor for adaptive scanning, and on the basis of the optimal global weight ratio, calculating a weight reduction factor by using robust estimation according to the standardized residual error of GNSS observation values, and obtaining the optimal weight matrix; and finally solving the optimal estimation value of unknown parameters based on the optimal weight matrix.The application realizes two-stage dynamic optimization of the weight, objectively optimizes the weight by data driving, effectively suppresses the influence of gross errors, and significantly improves the precision and reliability of multi-source data fusion deformation monitoring.

This invention belongs to the field of geodesy and geophysical exploration technology, and discloses a method for transoceanic elevation transfer and global elevation datum unification using multi-frequency, multi-mode GNSS. The method includes: Step 1, deploying multi-frequency, multi-mode GNSS receivers at multiple local leveling / gravity measurement points and simultaneously conducting GNSS static observations; Step 2, acquiring satellite precision clock track products; Step 3, calculating the gravitational potential at the satellite's location; Step 4, using a model for determining gravitational potential and altitude based on single-station non-differential multi-frequency, multi-mode GNSS signals to calculate the altitude of ground measurement points; Step 5, iteratively executing steps 1-4 to obtain the altitude of each transoceanic observation point; Step 6, obtaining the elevation difference between two different transoceanic measurement points through difference calculation; Step 7, determining the elevation datum difference between the two different transoceanic locations based on the least squares method, thus achieving the unification of transoceanic elevation datums. This invention overcomes the long-standing problem of transoceanic and transsea elevation transfer and achieves the unification of global elevation datums.

A geodesy technique using telecommunication fiber-optic cables for real-time monitoring of subsurface quasi-static deformations. The fiber-optic cables comprise dense arrays of strainmeters, measuring strain rate data by processing the low-frequency content of cable vibration or deformation signals contained in optical backscattering. The technique is demonstrated to image the magma movement during dike intrusion events at minute time scale, exhibiting enhanced sensitivity and achieving high-temporal resolution and low noise levels with minimal data processing. The system can measure subsurface deformation in both onshore and offshore environments.