53 results about "Spatial reference system" patented technology

Authenticity of a sticker (e.g., a mark-down sticker on a retail item), or integrity of a closure (e.g., on a delivery bag or package), is confirmed by reference to spatial information. In some embodiments a fingerprint is formed from parameters describing spatial placement of a sticker or pattern on a substrate. In some embodiments a digital watermark pattern provides a spatial frame of reference within which one or more other features can be located. In still other embodiments, a package is sealed with a shipping tape marked with a digital watermark. If the tape is slit to tamper with package contents, and is then repaired by an overlay of clear tape, the repair betrays itself by a forensic inspection that reveals a diminution in watermark strength. A great many other features and arrangements are also detailed.

The present invention discloses a scene data fusion analysis management system and method based on multi-source heterogeneity, belonging to the field of data fusion technology. The present invention analyzes and extracts features from each collected data for classification, and obtains a multi-source data set in the scene; searches for the same information and different information in the multi-source data, and constructs a common information set and a different information set; analyzes the multi-source information in the common information set, and determines a unique time and space reference system; uses the time and space reference system to mark the time and space of the data information of each multi-source information in the common information set; aligns and fuses the multi-source information in the common information set according to the mark; uses the constructed common and different database to analyze the scene data, uses the different information in the common and different database to obtain different decisions, analyzes each decision, calculates the confidence of the decision, fuses multiple decisions, and obtains a comprehensive decision for the analysis scene.

The invention discloses an automatic feeding and discharging device for cylindrical grinding of shaft workpieces and a control method of the automatic feeding and discharging device, and relates to the technical field of machining control, the automatic feeding and discharging device comprises a base, a feeding end and a control end are fixedly connected to the base, the feeding end is located on one side of the control end, and a sensor is arranged at the feeding end; a conveying belt is fixedly connected to the position over the base and located on one side of the feeding end, clamps are arranged on the two sides of the conveying belt and used for clamping workpieces, and a control module is arranged in the control end. According to the method, the three-dimensional contour and the edge data are located in the same spatial reference system, the two types of data are deeply associated through the feature matching algorithm, errors caused by data singleness in initial deviation calculation are corrected by means of complementation of the spatial information of the three-dimensional data and detail features of the edge data, the production efficiency is greatly improved, and the machining period is shortened.

Embodiments of the present invention relate to a facility for applying a lining composition in the form of dry particulate material (2p) to form a working lining (2s) on the surface of the internal space within a tundish (1), where, in a spatial reference system (X, Y, Z), advantageously, X⊥Y⊥Z, X is the longitudinal axis, Y is the transverse axis, and Z is the vertical axis. The facility includes: a support frame (41× - 41z) defining a loading area; a tank (21) having a tank outlet (21o) configured to store a certain amount of dry particulate material (2p) and coupled to a metering unit (25) having a dispensing outlet (25o); a dispensing unit (22) configured to be coupled to the dispensing outlet (25o) and to dispense the dry particulate material metered by the metering unit; a plunger (11) provided with a peripheral gap (111) of a gap width (g) between the plunger (11) and the peripheral wall (1w) of the tundish and configured to fit into the internal space; a longitudinal translation mechanism (31x) configured to hold and translate the dispensing outlet (25o) along the longitudinal axis (X); a transverse translation mechanism (31y) configured to receive the tundish (1) and to translate the tundish (1) in and out of the loading area along the transverse axis (Y); and a lifting and lowering translation mechanism (31z) configured to hold the plunger (11) and to translate the plunger along the vertical axis (Z) in and out of the internal space when the tundish is positioned within the loading area.

The invention provides a vehicle track splicing method for long road section cross-camera target association matching. The method comprises the following steps: acquiring an image including a target vehicle, and constructing a training image data set and a verification image data set; capturing a single-camera vehicle track by using a YOLOV5 model and a Kalman filtering algorithm; and splicing the cross-camera vehicle tracks by using a vehicle re-recognition algorithm. According to the invention, vehicle positioning and track splicing can be realized more accurately, and support is provided for vehicle motion mode analysis, traffic flow monitoring and abnormal behavior detection; a target vehicle can be quickly and accurately identified through a YOLOV5 model and a Kalman filtering algorithm, and target tracking is carried out on the vehicle; through coordinate conversion, the difference of visual angles is eliminated through a unified spatial reference system, and the error or inconsistency of image features is avoided, so that the positioning and the track of the vehicle can be more accurately spliced; and the vehicle is re-identified through a vehicle re-identification algorithm, so that the identification accuracy is ensured.

The invention discloses a town space regulation and control method for promoting cooperation of carbon reduction, pollution reduction, green expansion and growth, and the method comprises the steps: extracting a town current situation boundary, determining a town current situation built-up area range, simulating a town space expansion inertia boundary, determining a town expansion inertia space, and determining economic, social and ecological value models of an agricultural land. And delimiting an urban space treatment regulation and control area. According to the method, a spatial undifferentiated curve of land resources serving as farmland and urban construction land utilization is theoretically defined, and a spatial reference system for urban space governance regulation and control multi-scheme coordinated with carbon reduction, pollution reduction, green expansion and growth is found in practice; the urban space governance regulation and control model and method are provided from multiple aspects, and a regulation and control scheme is provided for regional space governance and high-quality development.

This invention discloses a method for identifying primordia of Agaricus bisporus in industrialized cultivation, relating to the field of industrialized edible fungi cultivation technology. By continuously acquiring images of the culture bed surface and establishing a unified micro-region division system, the same spatial location forms a corresponding continuous data structure at different times. This transforms the originally scattered image information into traceable micro-region temporal data, providing a stable data foundation for subsequent identification. This addresses the problem in existing methods where inconsistent image positions or lack of continuous correspondence hinders evolutionary analysis. By introducing position alignment processing in the image preprocessing stage, images at different times are unified to the same spatial reference system, avoiding positional errors caused by slight camera offsets or changes in acquisition angle. This ensures the consistency of data for the same micro-region in the temporal dimension, allowing grayscale changes to accurately reflect changes in the culture bed surface structure.

The present application relates to the technical field of image processing, and more particularly to a pancreatic cancer and breast cancer early image diagnosis method based on multi-modal contrast learning, step 1: obtaining multiple time-phase multi-modal images of the pancreas and breast of a subject in a unified spatial reference system to form a basic data set; step 2: based on the basic data set, alternately encoding the lesion candidate area mask and the peripheral ring domain mask to obtain an encoded feature vector; step 3: aligning the organ identification as the key according to the time-phase block index, and filling in the encoded feature vector of the missing time-phase block according to the set rule; jointly determining the intra-organ results of the two organs according to the set priority, and outputting the overall result. The present application can improve the sensitivity and specificity of early lesion detection, and enhance the diagnostic robustness and clinical application value while maintaining interpretability and traceability.

The invention relates to an improved method for manufacturing a so-called final socket (2') from a provisional socket (2), for fitting a residual limb of an amputee. The method comprises 3D modeling of the inner surface of the provisional socket (2), including a 3D model (44) of said surface in a spatial reference frame (11), and automatic modification of said 3D model (44) to optimize the arrangement of an artificial limb (3) on the final socket (2). The method further comprises optimizing a digitization step by determining an improved position for a distance measuring tool (42) within the provisional socket (2) during modeling. The invention also relates to a manufacturing aid system for a final socket configured to implement the method of the invention. Fig. 8

The invention discloses a deep learning-based intelligent recognition method for a motion mode of an unmanned surface vehicle. The method comprises the following steps: acquiring original sensing data in real time through a multi-source sensor system mounted on the unmanned surface vehicle, wherein the multi-source sensor system at least comprises an inertial measurement unit (IMU), a global navigation satellite system (GNSS) receiver, a laser radar and a visible light camera; performing time synchronization and coordinate system alignment processing on the original sensing data to generate a fused sensing data stream with a unified timestamp and a spatial reference system; dividing the fused sensing data stream into time window segments with fixed lengths, wherein each time window segment corresponds to one to-be-identified motion state sample; the IMU, the GNSS, the laser radar and the visible light / infrared camera are synchronously integrated, quadruple sensing dimensions are formed, the IMU captures instantaneous acceleration and angular velocity changes and reflects control instruction execution, the reliability of single-point observation is improved, and the system can still maintain the basic recognition capability when part of sensors fail.

The present application relates to the technical field of mechanical vibration, and discloses a kind of energy storage hydropower station unit vibration fault online diagnosis method and system, the method includes: acquisition unit under multiple operating conditions Original vibration data set;Eliminate the time-space deviation of different source signals by adjusting time frame and space reference system, obtain standardized vibration data matrix;Anti-interference fusion is carried out to standardized vibration data matrix, and dimension uniform operation is carried out to the data after anti-interference fusion, obtain multi-source anti-noise data cube;Multi-dimensional vibration fault feature coupling analysis is carried out to multi-source anti-noise data cube, obtain vibration fault feature topology set;Vibration fault feature topology set is matched with historical fault case base Feature mapping, obtain fault diagnosis result sequence;Based on real-time feedback data, fault diagnosis result sequence is dynamically corrected, and final fault diagnosis report is obtained;The present application can improve the accuracy of unit vibration fault online diagnosis.

The invention provides an efficient map element quality inspection AI system and an implementation method, and relates to the field of map element quality inspection systems, and the system comprises a multi-source data access module which is used for importing multi-type map element data and unifying a spatial reference system; the AI quality inspection model training module comprises a spatial topological feature extraction network and a quality inspection rule self-learning sub-model and is used for generating a dynamic rule base; the multi-element intelligent verification module integrates a topology verification unit, an attribute verification unit and an incidence relation verification unit and is used for joint verification of multiple types of map elements; the visual report and rectification module is used for generating a structured quality inspection report and supporting one-key rectification; and the system management module is used for user authority management and model iteration maintenance. According to the method, eight common error types in map drawing can be automatically identified, and efficient, accurate and intelligent map quality inspection is realized through multi-modal data in combination with deep learning and knowledge reasoning.

The invention discloses a network clue data change analysis method and system based on a knowledge graph, particularly relates to the technical field of data processing, and is used for solving the problem that a clue coordinate mapping result does not conform to an actual geographical current situation due to dependence on a static geographical entity knowledge graph in the prior art. The method comprises the following steps: describing and identifying spatial differences by aggregating multi-platform clue positions, and generating a change pre-check instruction when the differences relate to geographic entities in a preset range; performing topological manifold embedding analysis on the text in combination with the initial coordinates to generate a manifold embedding distance, and detecting a conflict rate of a spatial reference system; when the distance or the conflict rate exceeds a threshold value, triggering knowledge graph updating; and finally, re-matching based on the updated map to obtain a target geographic entity and coordinates. Real-time perception of geographic entity change and dynamic map correction are realized, and the accuracy and reliability of natural resource clue space positioning are effectively improved.

The invention relates to the technical field of deep learning and computer vision, and discloses a YOLO and DeepLabv3 + fused forest burned area intelligent identification method, which comprises the following steps: collecting remote sensing image data of various temporal and spatial resolutions covering a research area, preprocessing the collected data, unifying all the data to the same spatial reference system and pixel size, and identifying the area of the research area. Forming a time-space consistent multi-modal remote sensing data set; on the basis of existing global overfire area products and historical wildfire records, sample labels of overfire areas and non-overfire areas are sketched and generated on the multi-source remote sensing images; a two-stage model cascade architecture is adopted, and an optimal parameter set is searched to minimize an overall loss function; and the trained integrated deep learning model and the multi-source remote sensing image are utilized to realize rapid identification of the forest fire land. According to the method, the accuracy, the robustness and the cross-regional adaptability of forest fire land identification are improved, and the problems of misjudgment and missed judgment caused by data isomerism and environment complexity in an existing method are solved.

A method of monitoring an environment for contaminants may comprise establishing a spatial reference frame defining locations within the environment, collecting one or more samples within the environment, associating the one or more samples with the location where there were taken within the environment, analyzing the one or more samples to determine whether the one or more samples contain one or more contaminants, determining an origin location of the contaminants, and, generating a graphical representation of a characteristic associated with the one or more samples at the associated location where the sample was collected in the environment. In some embodiments, for example, the graphical representation may indicate the origin location of the contaminant in the environment. In some embodiments, the method includes tracking the transmission of the one or more contaminants and generating a graphical representation indicating the track of transmission.

The invention relates to an improved method for manufacturing a prosthesis (1') from a positive mould (110), for fitting to a residual limb of an amputee. The method comprises 3D modelling of the inner surface of an existing socket (2) comprising a 3D model (44) of the surface in a spatial reference system (10) and automatic modification of the 3D model (44) in order to optimize the arrangement of an artificial limb (3) in the socket (2') to be manufactured. The method further comprises determining a position of a fastener (116) in the spatial reference system (10) with the aid of a guide (112) for placement of the fastener (116). The invention also relates to a manufacturing aid assembly (100) configured to aid in the manufacture of a socket according to the method of the invention and comprising a positive mould (110) and the placement guide (112).

The invention relates to the technical field of geological disaster monitoring and early warning, and discloses a geological disaster probability assessment method based on multi-source big data fusion analysis. The method comprises the steps of three-dimensional coordinate system layout and multi-point sensor acquisition, standardization, memory kernel construction, time sequence convolution fusion, anomaly recognition, probability mapping and spatial interpolation, and high-risk area output. By unifying a spatial reference system, the spatial consistency of data of each monitoring point is ensured; the whole-process data quality inspection and standardization are realized, and the dimension unification and comparability of the multi-source heterogeneous data are realized. A finite memory weight model and time sequence weighted convolution are innovatively adopted, the historical cumulative effect is comprehensively reflected, the anomaly discrimination robustness is improved, and the defect that only short-term data is used is overcome. Probabilistic mapping and feature distance-based spatial smoothing endow the risk expression with continuity and adaptivity, and realize scientific determination of regional high-risk partitions.

This invention relates to a method for fusing multi-source heterogeneous and non-uniform spatiotemporal scale data. First, the coverage area and data time of raster data are determined, and a unified spatial reference frame is established between the raster data and station data. Observation stations within the coverage area are selected, and their observation values ​​are extracted. Then, the stations and raster data are spatially registered, and the rasters corresponding to the stations in the spatial reference are extracted. Using a seed propagation algorithm, the center raster value with deviation is assigned to neighboring null value rasters, resulting in deviation raster data consistent with the coverage area. Finally, the deviation raster data and the original raster data are processed through raster calculations to obtain fused raster data consistent with the coverage area. This method can fuse station data and raster data from different time and spatial scales into a dataset of the same spatiotemporal scale. The fused data has high accuracy and wide coverage, laying a data foundation for data analysis and numerical model construction in disciplines such as hydrology and meteorology.

The invention relates to the technical field of underwater acoustic positioning, and discloses an ultra-short baseline combined positioning method based on acousto-optic fusion, and the method comprises the steps: aligning an acousto-optic timestamp of a target object, and obtaining time synchronization positioning data; mapping the time synchronization positioning data to a preset space reference system to obtain space-time alignment positioning data; fusing the acousto-optic positioning information of the target object to obtain a preliminary fusion positioning result; based on a preset acousto-optic error vector field, performing deviation correction on the preliminary fusion positioning result to obtain positioning residual data; performing multi-modal spectrum analysis on the positioning residual data to obtain a stability index, and performing robustness enhancement on the preliminary fusion positioning result to obtain a final positioning result of the target object; according to the technology, acousto-optic positioning information is precisely processed through multiple links, the positioning effect is remarkably improved, and the accuracy and reliability of positioning data are greatly improved.

Examples disclosed herein may involve a computing system that is operable to (i) use a first approach to produce a first representation of an agent's trajectory from a first set of sensor data, (ii) use a second approach to produce a second representation of the agent's trajectory from a second set of sensor data, wherein the first and second representations of the agent's trajectory are based on different spatial reference frames and different temporal reference frames, (iii) align the spatial reference frames of the first and second representations by applying a spatial transformation to one of the first or second representations, (iv) align the temporal reference frames by applying an origin-time offset to one of the first or second representations, and (v) use the aligned first and second representations as a basis for evaluating an accuracy of the first approach relative to the second approach.

Medical instrumentation for simulation purposes in hip endoprosthetics, characterized by a simulation body (66) that can be tilted about a tilting axis (60) in a spatial reference system, a sensor unit (34) with which the magnitude and orientation of a tilting angle can be detected when the simulation body (66) is tilted, a data processing device (26) and a guidance unit (30), wherein the data processing device (26) is designed and programmed to simulate an inclination of a human pelvis (10) in a body reference system in which the pelvic inlet plane (B) of the pelvis (10) is inclined relative to a frontal plane (F) of the body by the tilting angle, and wherein the data processing device (26) outputs implantation information to the user at the guidance unit (30) that depends on the tilting angle.

The invention relates to the technical field of image processing, in particular to a pancreatic cancer and breast cancer early-stage image diagnosis method based on multi-modal comparative learning, which comprises the following steps of: 1, acquiring multi-modal images of multiple time phases of the pancreas and the breast of an examined object in a unified space reference system to form a basic data set; step 2, on the basis of the basic data set, performing alternate ring domain coding on the focus candidate region mask and the peripheral ring domain mask to obtain a coding feature vector; 3, aligning according to the time phase block index by taking the organ identifier as a key, and supplementing the coding feature vector of the missing time phase block according to a set rule; and performing joint judgment on the organ internal results of the two organs according to a set priority, and outputting an overall result. According to the invention, the sensitivity and specificity of early focus detection can be improved, and the diagnosis robustness and clinical application value are enhanced while the interpretability and traceability are maintained.

The present application relates to the field of building structure safety analysis, and particularly relates to a building structure safety analysis method fusing point cloud data. First, based on the obtained three-dimensional point cloud data, a three-dimensional space grid is constructed, and fixed space anchor points are determined. Then, based on the fixed space anchor points, the three-dimensional point cloud data is mapped into the anchor domain, an improved structure tensor neighborhood difference method is introduced, and a structure change intensity index is obtained. Finally, based on the structure change intensity index, an improved time-symmetry second-order difference structure evolution evaluation method is introduced, and a global structure safety index is obtained. The technical problems of being difficult to depict the dynamic evolution process of the structure over time, lacking the ability to identify gradual damage, being sensitive to point cloud data noise and prone to misjudgment, lacking a unified and stable spatial reference system, being difficult to align cross-frame data and affecting the overall analysis accuracy, and relying on experience rules for overall evaluation indexes and lacking data-driven quantitative expression are solved.

The invention provides an MOCVD (Metal Organic Chemical Vapor Deposition) process multi-parameter synchronous detection method, system and equipment and a storage medium, and relates to the technical field of semiconductor detection. Single-mode laser is divided into object light and reference light, and the reference light is utilized to form a spherical reference wave through point diffraction; the object light and the spherical reference wave coincide in the space near the semiconductor surface to form stable interference fringes; a phase distribution diagram and a contrast distribution diagram are synchronously extracted from each frame of interference image, and multi-parameter synchronous decoupling and inversion are carried out under a unified data source and space reference system; therefore, in-situ, real-time and full-field synchronous acquisition and correlation analysis of the morphology, temperature and optical reflection characteristics of the semiconductor can be realized under the conditions of MOCVD high-temperature intense radiation and semiconductor rotation, the problems of time-space asynchronization and information splitting caused by multiple sets of independent monitoring systems are avoided, the system integration and calibration complexity is reduced, and the system reliability is improved. And meanwhile, a uniform, accurate and comprehensive data basis is provided for process optimization.

The invention relates to the technical field of mechanical vibration, and discloses an energy storage hydropower station unit vibration fault online diagnosis method and system, and the method comprises the steps: collecting original vibration data sets of a unit under various operation conditions; eliminating space-time deviation of different source signals by adjusting a time frame and a space reference system to obtain a standardized vibration data matrix; performing anti-interference fusion on the standardized vibration data matrix, and performing dimension unification operation on the data after anti-interference fusion to obtain a multi-source anti-noise data cube; performing multi-dimensional vibration fault feature coupling analysis on the multi-source anti-noise data cube to obtain a vibration fault feature topological set; performing feature mapping matching on the vibration fault feature topology set and a historical fault case library to obtain a fault diagnosis result sequence; dynamically correcting the fault diagnosis result sequence based on the real-time feedback data to obtain a final fault diagnosis report; according to the invention, the accuracy of online diagnosis of the vibration fault of the unit can be improved.

Embodiments of the present application provide a geological map processing method and system based on artificial intelligence. The original geological map data set of the carbon dioxide geological storage target area is obtained. A pre-trained graphic element recognition model is called to perform graphic element feature recognition processing on the original geological map data set to generate an isogram graphic element set, a lithology pattern graphic element set, and a columnar pattern graphic element set. Attribute information reconstruction processing, coordinate correction and geometry repair processing are performed on the isogram graphic element set, the lithology pattern graphic element set, and the columnar pattern graphic element set to generate a standardized graphic element set with a unified target space reference system. The standardized graphic element set is transmitted to a target space database to perform regularized storage processing to obtain a carbon dioxide geological storage thematic map data set. The method can improve the accuracy and efficiency of carbon dioxide geological storage geological map processing.

The invention relates to the technical field of detection, in particular to an HDI printed circuit board X-ray detection method and device, and the method comprises the steps: obtaining a space reference system and initial position data of an HDI circuit board, and obtaining initial detection data; performing dynamic X-ray scanning and data acquisition on the HDI circuit board according to the initial detection data to obtain a motion control sequence; driving the X-ray source to execute dynamic multi-track motion and adaptive inclination angle adjustment according to the motion control sequence to obtain a synchronous control sequence; driving a detector to acquire an X-ray signal according to the synchronous control sequence, and generating a multi-dimensional projection data set; performing optimization processing on the multi-dimensional projection data set based on a deep learning dynamic weighting algorithm to obtain a comprehensive detection image; and performing multi-layer structure feature extraction on the comprehensive detection image to obtain a deviation analysis report. The problem that penetration is difficult due to the fact that the thickness of the HDI circuit board in the length direction and the width direction is too large is effectively solved, and overlapping and signal attenuation of multi-layer structure features in a projection image are avoided.

The invention provides a three-dimensional gesture recognition device and method based on elbow joint positioning. The device comprises a finger end wearing device, an elbow joint end wearing device and a dimension reduction processing module. The finger end wearing device adopts a ring form, and a built-in UWB (Ultra Wideband) signal emission source emits 3.1-10.6 GHz ultra-wideband signals; the elbow joint end wearing device receives positioning signals through four antennas arranged in a rhombus shape, and millimeter-level positioning precision is achieved through a ToF algorithm. The dimension reduction processing module establishes a polar coordinate system with the elbow joint as the circle center, and converts three-dimensional position information into two-dimensional coordinates through an angle variation direct mapping algorithm. The system adopts a low-power-consumption accelerometer to realize on-demand activation, the power consumption is controlled at a microampere level when the system is static, and 50Hz high-frequency sampling is adopted when the system moves. According to the invention, the problem that traditional gesture recognition lacks a stable space reference system is effectively solved, and high-precision and low-power-consumption real-time gesture recognition is realized.

The present invention discloses a method for restoring an ancient city plane by integrating multi-source data, the method comprising: an urban spatial reference integration part, which is used to perform geographic registration and spatial integration of spatial data and establish a spatial reference system; an urban element information extraction part, which is used to perform text recognition and semantic recognition on literature, extract urban elements and their location information, and generate an urban element information table; an urban element spatial location part, which is used to perform spatial location and attribute improvement on elements in the urban element information table, generate a target urban plane information data set, and restore the ancient city plane based on the target urban plane information data set. By integrating multi-source data, the present invention effectively overcomes the problem that the information volume of a single data and the feasibility of location cannot be achieved at the same time, and improves the completeness and accuracy of plane restoration.

The invention relates to the technical field of clinical anesthesia ultrasonic navigation, and discloses a clinical anesthesia ultrasonic image assisted positioning guiding method and system. The method comprises the following steps: acquiring a real-time ultrasonic image flow of a target area; carrying out inter-frame stability analysis and screening clear frames to form an optimized image set; implementing multi-scale filtering to enhance the tissue edge; detecting an anatomical mark point and recording a three-dimensional position; establishing a dynamic space reference system and calculating a central point of a target area; deriving an initial motion path of the guiding instrument and executing initial positioning; synchronously capturing actual positioning point coordinates, and comparing the actual positioning point coordinates with a central point to generate a position difference index; calibrating a reference system according to the index and generating an optimized motion path; and an instrument is controlled to finish accurate positioning. The anatomical mark point identification accuracy is improved through image frame screening; positioning errors are dynamically compensated through a closed-loop calibration mechanism, and the navigation precision and operation reliability of anesthesia puncture are improved.