45 results about "Data registration" patented technology

A data registration apparatus (200) processes original data saved in a data source and registers the processed data. A data verification apparatus (300) computes a digest value of reference combined data which is generated based on a digest value of the original data and a digest value of the processed data as a reference digest value. The data verification apparatus computes a digest value of the registered processed data as a provisional digest value, retrieves digest value saved in the data source as a provisional digest value, computes a digest value of verification combined data which is generated based on the provisional digest value of the original data and the provisional digest value of the processed data as a verification digest value, and compares the verification digest value with the reference digest value.

This application provides a method, apparatus, device, and medium for determining joint calibration parameters. In this method, a calibration board is placed in different poses. For each pose, based on the edge line of the calibration board in the image acquired by the camera at that pose, the first coordinates of a preset position on the calibration board in the image are determined. Then, the point cloud data at that pose is processed using a plane fitting algorithm to obtain a first plane corresponding to the calibration board in the point cloud data acquired by the LiDAR. Based on the laser point located on the edge line of the calibration board and the determined first plane, the second coordinates of the target laser point at the preset position on the calibration board are determined. Based on the determined first and second coordinates of each pose and a preset data registration algorithm, the parameters for joint calibration of the camera and LiDAR are comprehensively determined, mitigating the problem of low accuracy in determining calibration parameters caused by error accumulation.

Embodiments of the present disclosure disclose a point cloud data registration method and device, electronic equipment and computer program product, the method comprising: obtaining at least two pieces of point cloud data to be registered; the at least two pieces of point cloud data are collected for the same collection area, and at least three calibration balls are fixedly placed in the collection area during the collection process; converting the point cloud data into image data; identifying the image area corresponding to the calibration ball from the image data; matching the calibration ball identified in the image data corresponding to the at least two pieces of point cloud data based on the relative position relationship of the at least three calibration balls in the image data; and registering the at least two pieces of point cloud data based on the matching result. This technical solution directly identifies the image, and then registers the point cloud data based on the information identified from the image, which can reduce the labor cost, improve the processing efficiency of the point cloud data, and also improve the accuracy and efficiency of the point cloud data registration.

The application relates to the technical field of data processing, and discloses a multi-source pipeline data registration and fusion labeling method for heterogeneous coordinate systems, which comprises the following steps: obtaining multi-source pipeline data and source coordinate system description information to establish a coordinate transformation model. Pipeline nodes, pipeline sections, connectivity relationships and semantic attributes are extracted, source and target pipeline network topology semantic constraint graphs are constructed, a registration error model is established, parameters are jointly solved through iterative optimization, and a globally consistent registration result is obtained. Pipeline nodes and pipeline sections from different pipeline data sources and corresponding in spatial position, topology structure and semantic attributes are clustered into unified pipeline objects and assigned with unified identification. A quality-driven attribute fusion model is constructed, geometric attributes are corrected within engineering constraints, classified attributes are weighted, and finally, a fusion labeling result is obtained. The application obtains unified pipeline objects which are globally consistent, topologically correct, semantically unified and provided with quality labeling.

This invention provides a multimodal fusion-based method for correlation analysis of deep-sea environmental data outside the Yangtze River Estuary, belonging to the field of deep-sea environmental analysis technology. This invention achieves accurate data registration by establishing a spatiotemporal standardization model for multi-source data and employing an adaptive spatiotemporal kriging interpolation algorithm. It utilizes a sparse coding marine signal separation algorithm to construct an overcomplete dictionary to separate mixed signals and extract pure features. Based on an attention mechanism, a feature extraction network is constructed to automatically learn deep feature representations of physical, chemical, and biological parameters. A matrix rank deficiency detection algorithm is used to automatically supplement feature compensation vectors to ensure feature integrity. A cross-scale attention mechanism based on wavelet transform is constructed to fuse multi-scale features. A Shapley value interpretability evaluation system is established to quantify the importance of correlated features. This invention solves the technical problem of inaccurate correlated feature extraction during the fusion of multi-source heterogeneous marine environmental data.

The invention discloses an FPSO (Floating Production Storage and Offloading) intelligent directional spraying method based on multi-sensor fusion, which is suitable for fire prevention and control of an FPSO upper module. The method comprises the following steps: firstly, dividing protection sub-areas, arranging infrared, ultraviolet, visible light and attitude sensors, matching with mixed nozzles and networking; establishing a module coordinate system, and completing sensor calibration and multi-modal data registration; and a multi-task CNN fire identification model is constructed, and fire source positioning, type discrimination and spreading prediction are realized. When the system operates, image stabilization is performed through hull attitude compensation, fusion feature input models are extracted, and personalized fire extinguishing strategies are generated; and generating a spraying instruction through space calculation and the like, driving the nozzle to spray in a directional and constant-flow manner, and dynamically optimizing the strategy based on real-time feedback until the fire is extinguished. Point-to-point fire extinguishing is achieved, water stain loss and fire fighting water waste are reduced, and the accuracy and efficiency of fire fighting in the marine environment are improved.

The application provides a railway full-line track state determination method and device, relates to the field of track vehicle safe operation state evaluation, and comprises the following steps: performing space-time data registration on operation state time series data of a track vehicle and corresponding line space position data to obtain a space-time data set; performing space-time feature extraction on the space-time data set to generate corresponding space-time feature values; inputting the space-time feature values into a pre-constructed railway full-line track state prediction model to obtain a railway full-line track state; and wherein the railway full-line track state prediction model is pre-constructed according to historical operation state time series data and corresponding historical line space position data. The application can predict the railway full-line track state.

A high-precision three-dimensional automatic modeling method for a substation, comprising: collecting laser point cloud data of a substation and multi-view images of the substation; performing dense point cloud data registration, camera parameter reconstruction for the multi-view images, projection of the multi-view images, and adaptive point cloud density control; using three-dimensional Gaussian distribution functions to approximate the point cloud data, summing all the three-dimensional Gaussian distribution functions to obtain a Gaussian distribution geometric field of a three-dimensional Gaussian distribution point cloud representation, and obtaining a three-dimensional mesh model by means of three-dimensional mesh reconstruction and rendering; setting constraint conditions of devices on the basis of the three-dimensional mesh model, and using a volume segmentation algorithm and a three-dimensional labeling algorithm to generate a three-dimensional device model, device coordinates, and device category names; and converting the device model into a GIM file, generating a PMS file from the device coordinates and the device category names, and synchronizing the files to a GIM and PMS3.0. The present invention can effectively solve the problems of low efficiency and inconsistent quality in conventional manual modeling processes.

This invention relates to a markerless real-time registration and tracking method and system for mandibular surgery. The method includes the following steps: the patient performs multiple opening and closing movements of the upper and lower jaws while the robotic arm is fixed, and the system synchronously records the changes in the angles of each joint of the robotic arm; based on the forward kinematics of the robotic arm, the continuous motion trajectory of the distal end of the jaw in space is calculated to form an actual jawbone trajectory point cloud; a preoperative image model is formed using the actual jawbone trajectory point cloud, a simulated jawbone trajectory is constructed in the preoperative image model, and the actual trajectory is aligned using the ICP registration algorithm to achieve automatic registration; the system establishes a mapping between angle changes and the spatial posture of the jawbone to achieve dynamic tracking and visual navigation during surgery. This invention solves the problems of large errors, high complexity, many limitations, and low efficiency in preoperative image data registration technology during maxillofacial surgery, avoids the need for preoperative implantation of markers, and achieves high-precision registration, high automation, and strong real-time performance under natural conditions.

This invention discloses a method and system for predicting deformation during the fabrication of turbine blade module shells based on a two-level nested graph neural network, belonging to the field of digital control technology for aero-engine turbine blade manufacturing. The method includes acquiring a large module CAD model, finite element simulation results, and CT scan data; performing multi-source data registration and fusion to obtain unified multi-source data features; constructing a two-level nested graph structure based on the multi-source data features; and inputting the two-level nested graph structure into a nested graph neural network model for sintering deformation prediction. This invention integrates the CAD geometric model and finite element simulation results, mapping high-density simulation data to sub-graph nodes using spatial interpolation technology; employing a nested graph neural network for hierarchical feature extraction, enabling each blade to learn its own local deformation pattern and perceive its positional context within the module; finally, outputting the three-dimensional deformation prediction values ​​for each sampling point, and visually marking high-risk areas to assist in process optimization decisions.

The application discloses a SA network access method, system and device based on a 5G Internet of Things card and a medium, and comprises the following steps: an IMS registration request is initiated to a visited 5G core network through a user terminal, and IMS registration is completed through a visited IMS core network element ICSCF and a home IMS core network element ICSCF; an SA data registration request is initiated to the visited 5G core network through the user terminal, and SA data registration is completed through a visited AMF and a home UDM according to Internet of Things card information of the user terminal; a 5G session request is initiated to the visited AMF through the user terminal, and authorization authentication is performed on the 5G session request through an SMF; session policy information is determined through the SMF, and the session policy information is issued to a UPF, so that the user terminal accesses a required external network through the UPF. The application can solve the problem that some terminals cannot access an SA network compatible with a 5G Internet of Things card, and can be widely applied to the technical field of Internet of Things.

The embodiment of the application provides a pig carcass intelligent grading method and device based on multi-modal feature fusion, through multi-sensor synchronous acquisition and multi-modal registration preprocessing, cross-modal attention fusion and backfat value enhancement comprehensive feature construction, and grading result evidence and production line diversion linkage, effectively solves the deficiencies of traditional technology in multi-modal data registration, feature fusion and closed loop linkage, and provides technical support for intelligent and accurate grading of pig carcass.

The present application relates to the technical field of marine geological exploration, especially to a shallow seabed classification method and system based on multi-scale and multi-direction feature fusion, the method comprising: acquiring multi-source acoustic data of the shallow seabed, preprocessing the acquired multi-source acoustic data, constructing a spatial correlation model based on the preprocessed multi-source acoustic data, extracting seabed topographic features according to the water depth value of the MBES data, extracting multi-scale and multi-direction texture features by using the SSS image output by the spatial correlation model, optimizing the acquired topographic features and texture features, taking the core feature set as input, training a multi-class classifier and constructing a multi-model collaborative decision mechanism, outputting the seabed classification result and evaluating the classification accuracy through quantitative indicators, the present application takes the echo intensity image as the core, solves the problem of poor spatial consistency in traditional multi-source data registration, avoids classification errors caused by feature space misplacement, and improves the classification reliability.

The application provides a multi-scene dynamic temporary road planning method and system based on GIM and remote sensing, relates to the technical field of image processing, and comprises the following steps: acquiring laser point cloud data and orthographic image data of a region to be constructed; performing data registration and fusion on the laser point cloud data, the orthographic image data and preset engineering parameters by using a preset obstacle algorithm and a spatial registration algorithm to obtain a three-dimensional geographic information dataset; analyzing key passing parameters of construction machinery and the three-dimensional geographic information dataset by using a passable domain analysis algorithm to determine passability parameters of the construction machinery; inputting the three-dimensional geographic information dataset, the passability parameters and a coordinate to be constructed into a preset path planning and optimization algorithm to perform calculation, determining an optimal mechanical approach path, classifying roads in the optimal mechanical approach path by using a spatial overlay algorithm, and obtaining corresponding road classification engineering quantities.

The present application relates to the technical field of intelligent sorting and industrial process control in coal mine, and particularly relates to a coal gangue intelligent rejection control method based on asynchronous data flow compensation. The technical scheme comprises asynchronous data acquisition, time stamp virtual queue establishment, dynamic space-time mapping, rejection advance calculation, rejection control execution, end feedback measurement, error self-correction, and the asynchronous data acquisition acquires a first data flow and a second data flow respectively, the first data flow is the target category, target coordinates and corresponding time stamp output by an X-ray identification device, and the second data flow is the speed, displacement or beat information and corresponding time stamp output by a belt or cloth device running state detection device. The present application solves the technical problems of asynchronous data registration, space-time dislocation in identification and execution, and time-varying delay compensation of the execution chain in the coal gangue rejection control, and realizes stable, high-precision and self-correctable rejection control of the online coal gangue sorting equipment.

A communication method includes: receiving a first request from a first network element, the first request indicating data registration, the first request carrying information about data that the first network element can provide, the first network element being a producer of the data; receiving a second request from a second network element, the second request including data requirements; and sending first information to the second network element, the first information being used to acquire the data, the data corresponding to the information of the data satisfying the data requirements. Based on the above technical solution, a data registration process for data producers is defined, simplifying the data registration process, improving the efficiency of data registration and data collection, and ensuring data integrity and reliability by not requiring the data consumer to request data subscription or analysis.

The application discloses a kind of industrial data increment registration based on identification method, its steps include: 1) industrial data increment registration system is assigned to each registered user unique user id;2) whether the corresponding user is first registered by user id determination, if first registration, the data in the database of the user is registered with full data;If not first registration, the database of the user is monitored, and the increment data registration frequency of the user is calculated according to the data change in the database setting period N days;Then the database is registered with increment data at frequency;3) when the registration time of the user exceeds the set duration, the registration frequency of the next period is predicted according to the recent increment data of the database periodically, and then the database is registered with increment data at frequency in the next period.The application can effectively register increment data.

The present application provides a kind of based on unmanned aerial vehicle image's coast erosion monitoring method, belong to coast erosion monitoring technical field, the present application is by in the space and time reference control network of coastal zone monitoring region layout, adopts overall adjustment strategy to simultaneously enter unified coordinate system with multiple time phase image and is registered, utilizes octree space index organization point cloud data and extracts standard coast line position in combination with tide level-coast line response model, changes feature of coast line form is identified by persistence topological analysis, adopts hogge decomposition to reveal erosion driving force direction, topographic feature is input embedded into sediment transport physical constraint, and artificial intelligence prediction model outputs erosion rate field, based on the voxel grid method, calculates erosion volume and according to the erosion response adjustment function value dynamic adjustment sediment discharge flux correction coefficient, establishes multi-dimensional early warning index system to realize risk grade discrimination, solves the technical problem that multiple time phase coast erosion monitoring data registration accumulates large error and leads to the low precision of erosion change amount calculation.

The application relates to the technical field of engineering component quality detection, and discloses a whole box culvert steel reinforcement framework detection method and system, which comprises the following steps: establishing a steel reinforcement framework reference model based on design drawings, setting an allowable deviation threshold, establishing a detection coordinate system, mapping collected data to the coordinate system of the steel reinforcement framework reference model, performing steel reinforcement area segmentation on image data and steel reinforcement point classification on point cloud data, mapping the image segmentation result to the point cloud coordinate system, constructing a measured steel reinforcement digital framework, performing automatic alignment based on topological connection constraints on the measured steel reinforcement digital framework and the steel reinforcement framework reference model, calculating a deviation result according to a final corresponding relationship to determine a suspected abnormal position, performing review scanning on the suspected abnormal position, fusing the review result and the deviation result to generate an abnormality conclusion, and generating a detection report based on the abnormality conclusion. Through multi-source data registration and topological constraints, automatic evaluation of the steel reinforcement framework is realized, and manual review is reduced.

This application discloses a method, medium, and equipment for continuous registration and stitching of tunnel point clouds. The method includes the following steps: a visual camera accurately acquires the target displacement of registration points and generates a two-dimensional identification code; point cloud data is acquired from multiple points on the entire curved surface of the tunnel, target feature points are identified, and target spatial identification codes are generated; based on the two-dimensional and spatial identification codes of each target, the point cloud data acquired from multiple points is spatiotemporally stitched; the stitched point cloud data is then fitted to a surface and tunnel displacement is monitored. The medium and equipment are used to implement the above method. The beneficial effects of this application are: by utilizing visual monitoring to accurately acquire the target displacement of registration points and using the registration points for point cloud data registration, the number of targets in machine vision can be significantly reduced, and the difficulty of using point clouds can also be significantly reduced.

This invention provides a method for processing hospital data required for AI, comprising: constructing a data registration service and providing a unified data registration interface for receiving data registration information submitted by various data providers within the hospital according to preset registration specifications; obtaining basic patient information through the basic information interface provided by the hospital's HIS system and generating a unique identifier (UID) for each patient; constructing an AI doctor data exchange terminal for receiving data requests sent by the AI ​​doctor terminal; the AI ​​doctor data exchange terminal parsing the data request, extracting the target patient's UID from the data request, and mapping the UID to the patient's original unique identifier; the AI ​​doctor data exchange terminal concurrently initiating data requests to various data sources based on the data registration information; and the AI ​​doctor data exchange terminal receiving response data returned by each data source and performing format standardization processing on the response data; thus solving the technical problems of complex multi-system data access and low data processing efficiency in existing technologies.

A system / method / device for registering two OCT data sets defines multiple image pairs of corresponding 2D representations of one or more corresponding sub-volumes in the two OCT data sets. Matching landmarks in the multiple image pairs are identified, as a group, and a set of transformation parameters are defined based on matching landmarks from all of the image pairs. The two OCT data sets may then be registered based on the set of transformation parameters.

The application discloses a point cloud data registration method and device, equipment and a storage medium, and belongs to the field of tunnel data processing. A first point cloud data set of a tunnel inner wall surface and geometric features of the tunnel inner wall surface are acquired; the first point cloud data is obtained by scanning the tunnel inner wall surface by a first laser scanning device; a registration point cloud data set is determined from the first point cloud data set according to the geometric features; initial transformation parameters corresponding to the registration point cloud data set are obtained; and a first initial coordinate of the registration point cloud data set is determined according to the initial transformation parameters, so as to obtain a registered first point cloud data set. Thus, the application utilizes the characteristics of the geometric features, such as the plane and regular curved surface, of the tunnel inner wall surface, can improve the registration stability for the scanning point cloud with a large amount of background and noise, and can improve the registration accuracy and speed.

This invention discloses a method and equipment for synchronous acquisition of multi-source data on the surface of rockfill dams, belonging to the field of intelligent construction and quality control of water conservancy projects. The acquisition method uses a GNSS positioning system to obtain the velocity vector and real-time position coordinates of the acquisition equipment and converts these coordinates into rockfill dam engineering coordinates. Based on the velocity vector, the operating status of the acquisition equipment is determined. Image data of the rockfill material surface and data of the rockfill dam compacted layer are acquired, and dynamic survey line units are divided. Then, the image data of the rockfill material surface and the data of the rockfill dam compacted layer are processed for data time synchronization to generate a structured multimodal dataset. This invention is applicable to the quality inspection of rockfill dam construction, effectively overcoming the problem of heterogeneous data registration in rockfill dam quality inspection, and generating a structured multimodal dataset containing surface and internal quality features, providing reliable data support for the digital control and intelligent evaluation of rockfill dam construction quality.

The application discloses a registration and segmentation method based on dental oral scanning and CBCT data, and comprises the following steps: S1, CBCT dental data and oral scanning crown data are acquired to obtain target point cloud and source point cloud; S2, a sampling consistency initial registration algorithm is used to coarsely register the target point cloud and the source point cloud in the step S1, and an optimal transformation input matrix of the source point cloud to the target point cloud is obtained; S3, according to the optimal transformation input matrix of the source point cloud to the target point cloud in the step S2, an improved ICP algorithm is used to finely register the target point cloud and the source point cloud, and a scaling factor, a rotation matrix and a translation vector are obtained; S4, according to the scaling factor, the rotation matrix and the translation vector in the step S3, a K-D tree nearest neighbor algorithm is used to delete outliers to obtain a crown part and point cloud near the crown; S5, the step S3 and the step S4 are repeated to obtain accurate crown registration and segmentation results; and the method improves the accuracy of the crown data registration and segmentation results.

The application relates to the technical field of pipe pile parameter prediction, and specifically discloses a power transmission engineering pipe pile compression bearing capacity prediction method and system based on multi-source data, which comprises the following steps: acquiring multi-source heterogeneous data of power transmission engineering pipe piles within a preset space-time scale, and performing data registration on the multi-source heterogeneous data; performing feature extraction on the feature data to obtain corresponding feature vectors; training a fusion prediction model according to the feature vectors and result data, and synchronously determining an error distribution model; when a prediction task is received, generating a prediction value based on the fusion prediction model and determining a confidence interval based on the error distribution model; on the basis of a traditional prediction scheme, the application introduces an information extraction process for multi-source data in the application scene of power transmission engineering pipe piles, obtains feature data and fusion features, inputs the feature data and the fusion features into a fusion prediction model, obtains a comprehensive prediction value and a confidence interval thereof, changes a traditional isolated processing process, and greatly improves prediction accuracy.

The application discloses an abnormal area detection method based on a point position multi-time phase atlas, which comprises the following steps: collecting multi-time phase core data according to detection requirements, and generating a point position multi-time phase atlas through data registration; establishing a normal fluctuation model based on the point position multi-time phase atlas, and marking suspected abnormal point positions; calculating the abnormal degree of the point positions through an abnormal clustering algorithm, and identifying abnormal point position clusters; constructing an energy function, identifying the boundary of an abnormal area, and preliminarily identifying the range of the abnormal area; combining the abnormal point position clusters and the boundary of the abnormal area, constructing a diffusion area model to predict the diffusion trend of the abnormal area; according to the boundary and the diffusion trend, determining whether the point positions in the area meet abnormal characteristics, and confirming the final abnormal area; and integrating the detection results to generate an abnormal area report containing abnormal information, visual charts and suggested measures. The application aims to solve the problems that the traditional method is difficult to accurately capture the dynamic evolution of abnormalities, the adaptability of feature fusion is poor, and the diffusion trend prediction is inaccurate.

This invention provides a remote sensing method for identifying seasonal changes in glaciers, relating to the field of radar remote sensing image processing technology. The method includes: S1: acquiring remote sensing images of glaciers in different seasons within the study area, forming a remote sensing image set; S2: preprocessing the remote sensing image set to obtain a preprocessed remote sensing image set, and then performing data registration on the preprocessed remote sensing image set to obtain a registered remote sensing image set; S3: performing image adjustment, boundary extraction, and seasonal inversion on the registered remote sensing image set to obtain a set of glacier boundary parameters; S4: analyzing the glacier boundary parameter set through STL decomposition to obtain the results of seasonal changes in the glacier. This invention introduces seasonal analysis into glacier analysis, considering the influence of various factors on the data, thus improving the stability of identifying seasonal changes in glaciers.

This invention relates to an electrically controllable switchable single-source lighting device integrating polarization and structured light, belonging to the field of optical lighting and 3D reconstruction technology. The device includes a polarization module, a moving mechanism, an electrically controlled motion mechanism, a Lyot depolarizing mirror, a striped structured light module, and a drive control module. It achieves electrically controlled switching between four lighting modes: vertically polarized light, horizontally polarized light, unpolarized white light, and polarized striped structured light. The drive control module also controls the voltage state of the TN-type liquid crystal cell and achieves N-step stripe phase shift through micro-phase shifting of the electrically controlled motion mechanism. This invention integrates multi-mode lighting into a single LED light source, achieving coaxial light source and natural data registration, and imparting structured light polarization characteristics, effectively suppressing interference from highly reflective surfaces. It is suitable for fields such as 3D scanning and machine vision.