50 results about "Geometric computing" patented technology

The invention relates to a positioning method of large-space intelligent glasses, head display equipment and a storage medium, belongs to the technical field of meta-cosmic space calculation, and is suitable for a meta-cosmic positioning function that the head display equipment of players in a multi-user interaction large space can directly interact without learning or reasoning of a central server. A plurality of different texture pictures are arranged on the bottom surface or the ceiling of a large space, any camera on the intelligent glasses is used for collecting images, the texture pictures are recognized from the images collected by the camera T, picture information corresponding to the texture pictures is obtained, the world position of the camera T can be obtained through geometric calculation, and the texture pictures are displayed on the intelligent glasses. The method can be quickly realized on local head-mounted display equipment, so that the learning process of a server or the delay of image reasoning and position information returning and errors caused by a positioning sensor are avoided, and the problem of errors caused by long distance of a large-space site or shielded texture pictures is also avoided.

Provided is a calibration method for calibrating a scanning and imaging device. The calibration method comprises: by means of a detector, collecting rays which have passed through a geometric calibration phantom so as to obtain detector data, the detector data comprising an actual projection position of the rays on the detector after the rays have passed through the geometric calibration phantom; obtaining initial ray source parameters and initial detector parameters; according to the initial ray source parameters, the initial detector parameters, and the positional relationship of the geometric calibration phantom with respect to a ray source and the detector, obtaining a theoretical projection position of the geometric calibration phantom on the detector by means of geometric calculation; constructing an optimization function of the deviation between the actual projection position and the theoretical projection position in terms of the ray source parameters and the detector parameters; and according to the optimization function, determining the ray source parameters and the detector parameters which correspond to the minimum deviation value as optimized ray source parameters and optimized detector parameters, and determining the optimized ray source parameters and the optimized detector parameters as geometric calibration parameters.

The invention relates to a two-dimensional image and geometric constraint-based cargo stack three-dimensional pose detection method and device, which are applied to the technical field of computer vision and logistics automation, and comprises the following steps of: through an edge straight line screening strategy, combining robust fitting of a random sampling consistency algorithm, calculating a three-dimensional pose of a cargo stack; a real physical boundary can be effectively and accurately recognized from complex visual interference such as adhesive tape, labels and printed patterns on the surface of a container, the accuracy and robustness of edge detection are remarkably improved, and therefore the high precision of final three-dimensional pose calculation is guaranteed; and secondly, only a common industrial camera is needed, and an expensive three-dimensional sensor such as a laser radar or a depth camera is not needed, so that the hardware cost and the maintenance complexity of the system are greatly reduced, and the cost benefit is extremely high. And thirdly, an efficient image processing and geometric calculation algorithm is mainly adopted, the calculation complexity is low, and the requirement for real-time detection of the goods stack on an industrial automatic assembly line can be met.

The invention discloses a tool path and blank cutting volume calculation method based on point set representation, and the method converts a blank and a tool path into point sets, calculates the cutting volume through the intersection of the point sets, and simplifies the traditional geometric calculation. Meanwhile, the density of the point set can be flexibly adjusted, the calculation efficiency and precision of tool path optimization are improved, and dependence on an STL file and a third-party plug-in is avoided. The method is suitable for large-scale tool path optimization tasks, and the flexibility and controllability of the tool path optimization process can be improved.

The invention discloses a physical collision monitoring and feedback method and device based on a digital twin engine and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: carrying out the preliminary collision detection of a model physical entity in a digital twin model based on a to-be-detected physical entity, and determining a preliminary collision object; traversing the hierarchical tree of the hybrid hierarchical bounding box of the preliminary collision object in the digital twin model, checking whether each node is intersected with the bounding box of the physical entity to be detected layer by layer, and determining leaf nodes of the intersected hierarchical tree of the hybrid hierarchical bounding box; for leaf nodes intersecting with the bounding box of the physical entity to be detected, determining a collision detection result through geometric calculation, and synchronizing the collision detection result to the digital twinborn model in real time; and feeding back the collision detection result to a control system of the to-be-detected physical entity so as to adjust the running state of the to-be-detected physical entity. The technical effect of improving the instantaneity of collision monitoring and feedback is achieved.

The invention provides a credible permission mutual recognition method, device and system for cross-domain agents, and relates to the technical field of artificial intelligence security, and the method comprises the steps: receiving a call request from a source domain agent for executing a corresponding operation on a target domain agent; obtaining an affine transformation parameter set through a permission conversion model according to the space relation characteristics of a source domain permission space and a target domain permission space involved in the calling request, and finally screening out affine transformation parameters suitable for permission voucher mapping by utilizing cone volume measurement evaluation and security verification, and mapping an original permission voucher of the source domain agent from a source domain permission space to a target domain permission space by using the affine transformation parameter, and generating a mapped permission voucher which can be identified and verified by the target domain. According to the method, the permission space is geometrized, and affine transformation, space division and geometric calculation are utilized, so that the permission credible mutual recognition problem in cross-domain agent collaboration is effectively solved.

The invention discloses a stage body virtual rotating shaft technology implementation method and a stage body structure. According to the method, a virtual rotating shaft system is constructed by applying a geometric model, so that an overturning table board can stably overturn along a specific geometric track and seamless butt joint is realized; the method specifically comprises the steps that a stage body structure comprising a fixed stage face, a rotating shaft support, a rotating shaft, an overturning stage face and an overturning driving device is constructed, the rotating shaft support is positioned according to set geometric parameters, the rotating shaft and the overturning stage face are connected, and the overturning driving device is used for driving the overturning stage face to overturn around a virtual rotating shaft. And the movement of the turnover table top is accurately controlled and optimized through a geometric calculation method. The stage body structure corresponds to the method, and stable overturning and seamless butt joint of the overturning table top are achieved through guidance of a geometric model; the technology can be widely applied to the field of stage performance and stage machinery, the problems of gaps and safety risks existing in an existing turnover stage are effectively solved, and remarkable innovativeness and practicability are achieved.

A computing system is provided, which receives a molecular graph at a message passing graph neural network (MPGNN), and produces scalar embeddings representing features of nodes and edges of the graph and vector embeddings representing geometric relationships of the graph. The system processes the scalar embeddings via a vector scalar interactive message passing mechanism of a message passing sub-block of theMPGNN to generate and pass scalar information from the scalar embeddings to an embedding space containing the vector embeddings. The system updates the vector embeddings based on the embedding space containing the scalar information and the vector embeddings. The system updates the scalar embeddings based on run-time geometry calculations of the geometric relationships encoded in the vector embeddings. The system computes an updated molecular graph based on the updated scalar and vector embeddings and outputs a target molecular property value based on the updated molecular graph.

The invention provides a communication method and a communication device, which are applied to the technical field of communication. For example, the communication method is adapted to an NTN scene, and the method comprises: a network device issues information related to a first AI model to a UE, so that the UE predicts channel information (such as time delay and / or Doppler frequency shift) at a future moment based on the first AI model. Compared with a mode in the prior art that the UE calculates the channel information (including time delay and / or Doppler frequency shift) through a geometric calculation mode, the first AI model in the embodiment of the invention considers historical measurement data (or historical rules), and the UE predicts the channel information (including time delay and / or Doppler frequency shift) at the future moment through the first AI model; the accuracy of the prediction result can be improved, so that it is ensured that the time and / or frequency of the transmitted signal arriving at the satellite are / is synchronous.

The invention discloses a deep and far sea platform multi-target form generation and optimization method based on a geometric agent model, and belongs to the cross technical field of ocean engineering and computer aided design. According to the method, a parameterized voxel growth model based on an offshore storm environment interference field is constructed, the digital generation logic of a platform entity structure is established, and the modular assembly process is simulated; constructing a geometric agent construction process and a final general agent function based on a rapid mapping relation from the three-dimensional voxel form set G to the physical performance index set P; constructing a multi-objective optimization problem based on an NSGA-II algorithm, and aiming at searching a Pareto optimal solution set in a variable space; and finally, automatically outputting final three-dimensional form model data and a module assembling sequence according to the specific environment weight of the target sea area. According to the method, the mapping relation between the physical performance and the geometric characteristics is constructed, expensive physical field simulation is replaced with geometric calculation, and rapid and intelligent generation of the floating type platform form is achieved.

A geometric modeling method for faults for smart mines belongs to the field of data modeling and is characterized by: surveying to obtain the position data and physical and mechanical property data of the fault; extracting the mid-surface thickness data in the GIS data; then reconstructing the stratum interface; establishing the stratum by extracting the stratum interface: and finally adding the fault unit. Based on the existing stratum geometry generation method, the fault data is integrated into the geometric model to solve the problem of lack of storage and display of fault data in the prior art. Compared with the prior art, it not only contains the spatial position information of the fault, but also contains the attribute information of the fault at different spatial positions. Since it is geometrically unrelated, it saves the complex geometric calculation process and significantly improves the modeling efficiency. The stored fault data is used as the basis for grid division and grid attribute assignment, which can provide more detailed geological data storage for the digital model of the mine and provide accurate data support for the simulation of smart mines.

The present application relates to the field of photovoltaic power generation, and more particularly to a double-sided photovoltaic tracking method and system based on a genetic algorithm. The method comprises: constructing a basic data structure based on multi-source data such as field station geographic time parameters and actuator constraint parameters; performing solar position and attitude geometric calculation to obtain solar geometric structure and candidate attitude geometric structure; inputting the solar geometric structure and the candidate attitude geometric structure into double-sided irradiation calculation to obtain front effective irradiation, back effective irradiation and shading factor; performing temperature calculation and electrical output calculation to obtain a candidate attitude power sequence and an energy index; performing fitness construction and feasible region processing to obtain a fitness evaluator and a feasible region processor; performing genetic algorithm calculation to output optimal strategy parameters and an angle curve, and generating a target angle instruction. The present application can realize collaborative evaluation and constraint optimization output of geometric, irradiation and electrical links, effectively improving the availability and stability of control instruction generation.

The invention discloses a dynamic modeling method and system for a three-dimensional model, and the method comprises the steps: recognizing an interactive operation, and obtaining coordinate point data in a three-dimensional scene in real time according to the interactive operation, so as to complete vertex assignment and form a vertex list; calculating a geometric center point of the vertex list based on the vertex list; connecting the vertexes in the vertex list with the geometric center point in a clockwise sequence to generate a planar triangular surface index array, and forming an initial plane; copying a vertex list of the initial plane and offsetting a target numerical value along a specified direction to generate a target plane; and connecting the vertex of the initial plane and the vertex of the target plane in sequence to generate a side triangular surface so as to complete modeling of the three-dimensional model. According to the method, the user interaction track is directly converted into the vertex data and the geometric calculation logic, so that the user can independently complete the whole-process modeling from plane to three-dimensional without relying on a modeler, the Unity scene development efficiency is remarkably improved, and a low-cost and high-flexibility solution is provided for interactive three-dimensional application.

The application discloses a kind of deep sea platform multi-objective form generation and optimization method based on geometric proxy model, belong to the cross technical field of ocean engineering and computer aided design.This application constructs the parametric voxel growth model based on the interference field of offshore wind and wave environment, aims to establish the digital generation logic of platform entity structure, simulates the modular assembly process;Based on the fast mapping relationship of three-dimensional voxel form set G to physical performance index set P, construct geometric proxy construction process and final total proxy function;Based on NSGA-II algorithm, construct multi-objective optimization problem, aims to find the Pareto optimal solution set in variable space;Finally, according to the specific environmental weight of target sea area, automatically output the final three-dimensional form model data and module assembly sequence.This application realizes the fast intelligent generation of floating platform form by constructing the mapping relationship of physical performance and geometric characteristics, using geometric calculation instead of expensive physical field simulation.

The invention discloses a household photovoltaic plotting method and system, and belongs to the technical field of household photovoltaics, and the method comprises the following steps: converting private graphic data into general format data based on a format conversion rule, and packaging an internal graphic element object and a geometric calculation rule thereof based on the general format data to obtain a graphic library; defining a business object and business logic according to the graphic library to obtain a domain entity library, and matching the external graphic data with the domain entity library to obtain a domain object document; and obtaining the household photovoltaic graph based on the domain object document. The graphic library is obtained by packaging the internal graphic element object and the geometric calculation rule of the internal graphic element object, the business object and the business logic are defined according to the graphic library to obtain the domain entity library, decoupling of the business object and the business logic from the platform is achieved, when external graphic data are obtained, the external graphic data only need to be matched with the domain entity library to obtain the domain object document, and the user experience is improved. And a household photovoltaic graph is obtained. The dependence on a specific platform is broken through, and the adaptability is remarkably improved.

A computing system is provided that receives a molecular graph at a messaging graph neural network (MPGNN) and produces scalar embedding representing features of nodes and edges of the graph and vector embedding representing geometric relationships of the graph. The system processes scalar embedding via a vector scalar interactive messaging mechanism of a messaging sub-block of the MPGNN to generate and pass scalar information from the scalar embedding to an embedding space containing the vector embedding. The system updates the vector embedding based on an embedding space containing scalar information and the vector embedding. The system updates scalar embedding based on runtime geometric calculations of geometric relationships encoded in vector embedding. The system calculates an updated molecular map based on the updated scalar embedding and vector embedding, and outputs a target molecular attribute value based on the updated molecular map.

The application provides a kind of marine structure flow field simulation method, the method comprises: generating calculation grid and object surface grid for flow field simulation;Initialize object surface grid level set function field;According to flow field information, calculate the force condition of object surface, calculate object translation vector and rotation vector;Complete data mapping of object surface grid to calculation grid, obtain the level set function field of calculation grid;According to the obtained calculation grid level set function field, divide cell type;Carry out geometric calculation to cut cell, based on cut cell flow field reconstruction strategy, complete fluid cell, cut cell estimated speed update;Solve pressure Poisson equation, obtain pressure field, pressure gradient, update velocity field according to the obtained pressure gradient, obtain the final velocity field satisfying continuity condition.The marine structure flow field simulation method of the application greatly improves the numerical simulation efficiency of complex structure flow field, and reduces the implementation difficulty.

The invention discloses a multi-agent natural language formation control method and system based on a large language model. The method comprises the steps of receiving a natural language instruction; calling a large language model to generate a target state sequence containing a space-time stamp; collision detection is carried out based on time sequence deduction and geometric calculation, and the minimum safety distance between the intelligent agents is verified; and after the verification is passed, synchronously issuing a control instruction in a direct connection or relay mode through radio frequency communication. The system comprises a ground station, a radio frequency communication module and a heterogeneous agent cluster. Microsecond-level synchronization precision, cross-platform compatibility and full-closed-loop AI planning are achieved, and the method is suitable for collaborative operation scenes of unmanned aerial vehicles, robots and the like.

This invention discloses an automated testing method, system, equipment, storage medium, and program product for microscopic imaging measurements. It addresses the problem of objective verification of measurement results through a log-driven automatic extraction and judgment mechanism; establishes a geometrically dependent linkage verification link to solve the correctness verification problem in dynamic linkage scenarios; uses the start timestamp of the test step as a filtering anchor point for pattern grouping and matching to solve the problem of accurate location of effective logs; and constructs a unified "log parsing—geometric calculation—threshold judgment" process to solve the integrated verification problem of multiple types of measurement scenarios, forming a traceable link of "operation action—log fragment—geometric reference value—judgment result," thus solving the problem of difficulty in tracing back the cause of failure.

This invention provides a method, apparatus, and system for trusted mutual recognition of permissions between cross-domain intelligent agents, relating to the field of artificial intelligence security technology. The method includes: receiving a call request from a source domain intelligent agent to perform a corresponding operation on a target domain intelligent agent; based on the spatial relationship characteristics between the source domain permission space and the target domain permission space involved in the call request, obtaining a set of affine transformation parameters through a permission transformation model, and using cone volume measurement for evaluation and security verification to finally select affine transformation parameters suitable for permission credential mapping; and using the affine transformation parameters to map the original permission credential of the source domain intelligent agent from the source domain permission space to the target domain permission space, generating a mapped permission credential that can be recognized and verified by the target domain. This invention effectively solves the problem of trusted mutual recognition of permissions in cross-domain intelligent agent collaboration by geometricizing the permission space and utilizing affine transformation, spatial partitioning, and geometric calculation.

The invention relates to the technical field of BIM change identification, in particular to a design change identification tracking method and system based on BIM data association. The invention relates to the technical field of BIM design recognition, in particular to a design change recognition tracking method and system based on BIM data association. The method comprises the following steps: preprocessing an obtained BIM model and drawing data; carrying out change identification based on the preprocessed BIM model and drawing data; carrying out change classification and labeling based on an identification result; performing mode analysis on the change data by using a deep learning model; and predicting a high-frequency change risk based on a pattern analysis result. By unifying BIM attribute fields and a coordinate system, component geometry is compared by using an SHA-256 Hash algorithm, an attribute difference rate is calculated, and primitive-level automatic identification is realized.

The invention relates to a monomer building contour batch extraction method based on a live-action three-dimensional model, and the method can achieve the quick and batch extraction of building contours, and controls the contour extraction precision and the batch endowing height. Comprising the following steps: S1, based on a live-action three-dimensional model, cutting osgb data by adopting a facade cutting technology, and cutting off redundant models on the ground so as to obtain a building three-dimensional model; s2, performing orthographic grid image production on the cut osgb model data by using an orthographic output basic tool to obtain grid tif data; s3, vectorizing the background of the grid tif data by using a grid vectorization algorithm to obtain vector shapefile data; s4, performing reverse vector cutting on the shapefile to obtain high-precision vector building contour data; s5, using a geometric calculation tool to calculate and generate a contour center point; and S6, extracting three-dimensional building altitudes corresponding to the x-y longitude and latitude by using coordinate mapping of the central point in the three-dimensional model, and obtaining vector point data with the altitudes.

A computing system is provided that receives a molecular graph in a message-passing graph neural network (MPGNN) and generates a scalar embedding that represents the characteristics of the nodes and edges of the graph and a vector embedding that represents the geometric relationships of the graph. The system processes the scalar embedding through a vector-scalar interactive message-passing mechanism of a message-passing subblock of the MPGNN, generates scalar information from the scalar embedding, and passes it to an embedding space that includes the vector embedding. The system updates the vector embedding based on the scalar information and the embedding space that includes the vector embedding. The system updates the scalar embedding based on runtime geometry calculations of the geometric relationships encoded in the vector embedding. The system computes an updated molecular graph based on the updated scalar embedding and vector embedding, and outputs target molecular property values ​​based on the updated molecular graph.

The invention discloses a structure deformation automatic monitoring system and method based on a GNSS three-dimensional displacement curve. The method comprises the following steps: acquiring three-dimensional coordinate initial data of key points from a GNSS receiver, performing quality screening and simple smoothing, unifying timestamps, and outputting an initial position sequence; on the basis of the initial position sequence, extracting relative motion and frequency spectrum features after linear interpolation, and splicing the relative motion and frequency spectrum features to obtain a monitoring point feature vector; establishing a joint model of a structure deformation state and a vibration state by combining the feature vectors of the monitoring points, and outputting an accurate deformation track and an accurate vibration state by the joint model after filtering; based on the accurate deformation track and the accurate vibration state, calculating a vibration health index to evaluate the health degree of the vibration level; based on the accurate deformation track and the accurate vibration state, geometric calculation is carried out on the key point coordinates, and an alarm state identifier is output; and inputting a graph neural network based on the accurate deformation track and the accurate vibration state to realize classification of the hinge region failure mode.

The application relates to a cargo stack three-dimensional position detection method and device based on a two-dimensional image and geometric constraints, and is applied to the technical fields of computer vision and logistics automation, and comprises the following steps: through an edge straight line screening strategy, in combination with robust fitting of a random sample consensus algorithm, real physical boundaries can be accurately recognized from complex visual interference such as adhesive tapes, labels and printed patterns on the surface of a cargo box, the accuracy and robustness of edge detection are significantly improved, and the high precision of final three-dimensional position calculation is ensured; secondly, only an ordinary industrial camera needs to be used, and expensive three-dimensional sensors such as laser radars or depth cameras are not needed, so that the hardware cost and maintenance complexity of the system are greatly reduced, and the cost efficiency is extremely high; thirdly, efficient image processing and geometric calculation algorithms are mainly used, the calculation complexity is low, and the demand for real-time detection of cargo stacks on an industrial automatic assembly line can be met.

The present invention relates to a positioning method, a head-mounted display device and a storage medium for large-space intelligent glasses, belonging to the technical field of metaverse spatial computing. It is applicable to the metaverse positioning function in a large space for multi-player interaction, where the head-mounted display devices of players can directly interact without learning or reasoning through a central server. A number of different texture pictures are arranged on the bottom surface or ceiling of the large space. Images are collected through any camera on the intelligent glasses. The texture pictures are identified from the images collected by camera T, and the picture information corresponding to the texture pictures is obtained. The world position of camera T can be obtained through geometric calculation. The present invention can be quickly realized on the local head-mounted display device, avoiding the process of server learning or the delay in image reasoning and transmitting position information, as well as the error caused by the positioning sensor, and also avoiding the error problem caused by the long distance of the large-space site or the occluded texture pictures.

The present application discloses a physical collision monitoring and feedback method, device, and storage medium based on a digital twin engine, which relates to the field of data processing technology, including: performing preliminary collision detection on the model physical entity in the digital twin model based on the physical entity to be detected, and determining the preliminary collision object; traversing the mixed-level bounding box hierarchy tree of the preliminary collision object in the digital twin model, checking each node layer by layer whether it intersects with the bounding box of the physical entity to be detected, and determining the leaf nodes of the mixed-level bounding box hierarchy tree where the intersection occurs; for the leaf nodes that intersect with the bounding box of the physical entity to be detected, determining the collision detection result through geometric calculation and synchronizing it to the digital twin model in real time; and feeding back the collision detection result to the control system of the physical entity to be detected to adjust the operating state of the physical entity to be detected. The present application achieves the technical effect of improving the immediacy of collision monitoring and feedback.

The application relates to the technical field of defect detection, and particularly discloses a PCB defect detection model training method based on artificial intelligence, which comprises the following steps: S1: high-dimensional features of normal and defective PCB samples are extracted respectively and are reduced to two-dimensional space; S2: a convex hull is constructed by using normal sample points, and a core normal area is defined; S3: defective sample points falling outside the normal area are screened out as key defective points; S4: a dynamic decision boundary line is generated on the basis of the normal area boundary and in combination with the distribution of the key defective points; and S5: a sample to be detected is mapped to the two-dimensional space, and the positional relationship between the sample and the decision boundary line is judged; the method replaces complex model training with efficient geometric calculation, and the detection efficiency is significantly improved.

A computing device or system and methods used to calculate the value of one or more geometric measurements and comprises an additional key or formula bar that is configured to the value of Natural Universe PI (NU PI) or vπ. Inclusion of the value of NU PI in geometric calculations will increase the accuracy of these calculations. These geometric calculations have widespread applications including but not limited to space, aerospace, oil and gas, work place or home.

A hydraulic turbine set pin outer diameter measurement method based on an improved DGCNN comprises the following steps: collecting three-dimensional point cloud data of a pin, and preprocessing the collected point cloud data, including noise reduction filtering, uniform downsampling and coordinate normalization; extracting point cloud features through an EdgeConv layer, and dynamically constructing a local neighborhood relationship based on a feature space distance; a self-supervised point cloud repair and synthetic data enhancement strategy is adopted, and a probability thermodynamic diagram of outer diameter edge points is output; inputting a high-confidence edge key point in the probability thermodynamic diagram into a differentiable geometric calculation layer, and solving an outer diameter; and improving the DGCNN model through transfer learning training, and deploying the DGCNN model to a local system after training is completed, thereby realizing real-time measurement of the outer diameter of the hydraulic turbine set pin. According to the measuring method, high-precision and self-adaptive measurement of the outer diameter of the pin can be realized.