152 results about "Projection method" patented technology

The invention discloses a dynamic projection method and system for vehicle-mounted laser point cloud data, and the method comprises the steps: obtaining the point cloud data through vehicle-mounted laser, firstly, according to a principle that a point close to a laser radar has higher density than a point far away from the laser radar, recognizing a radar scanning track through a region with high point cloud density; and secondly, aligning the projection direction with the radar scanning direction, adaptively constructing a dynamic coordinate axis and a horizontal cylindrical projection for each point cloud area, and obtaining fitted projection parameters (such as radius, center point, height and the like), thereby better enhancing ground feature retention in the dense point cloud, relieving ground feature deformation in the projection process to a greater extent, and improving the robustness of the radar. Compared with the prior art, the method has the advantages that less ground objects are shielded, semantic confusion is reduced, the effect of the point cloud semantic segmentation network is improved, the artificial intelligence reasoning speed is increased, and automatic driving map construction, three-dimensional model reconstruction, smart city development and the like can be assisted.

The invention discloses an electric power system load flow calculation method and related equipment, and the speed of electric power system load flow calculation is remarkably improved by using a neural network model. Compared with a traditional physical simulator, the neural network model can complete a large amount of load flow calculation in a shorter time, which is crucial to power grid operation and risk assessment needing quick response. According to the method, the accuracy similar to that of a traditional algorithm based on Newton-Raphson iteration can be achieved. The addition of the physical constraints ensures that the model output result accords with the physical characteristics and operation rules of the actual power grid, and particularly, the projection method strictly ensures the linear equality hard constraints, so that the model almost does not violate the key physical constraints in the training process, and the reliability of the model is improved.

The invention belongs to the related technical field of power system optimization operation, and particularly relates to a non-iterative interconnected multi-microgrid system optimal power flow determination method based on a dimensionality reduction projection method, and the method comprises the steps: reconstructing a multi-microgrid centralized operation model, and obtaining a sub-problem of each sub-microgrid; taking a multi-dimensional variable space formed by all public variable sets in each sub-problem and a preset sub-microgrid operation cost variable as a projection space of the sub-problem; determining an initial vertex set of the projection of the convex hull corresponding to the original operation space constraint of each sub-problem in the projection space, and translating the coordinate origin to the interior of the convex hull enclosed by the vertex set; based on the convex hull and the outer normal vector of each boundary surface, circularly searching vertexes satisfying original operation space constraints outside each boundary surface in the projection space, and taking a space enclosed by a final vertex set as a projection space of the operation space constraints of the sub-problem; and reconstructing the sub-problem in the space and solving the sub-problem. According to the method, the optimal power flow can be solved under the condition that only public variables are disclosed.

The invention relates to the technical field of three-dimensional measurement, and discloses a method and system for measuring the transparent dispensing volume, a computer readable storage medium and a computer program product. The method comprises the following steps: placing transparent dispensing glue on a preset metal sheet, and shooting to obtain cross section contour image data of the transparent dispensing glue; extracting a laser stripe center contour line of the two-dimensional contour slice; reconstructing a complete three-dimensional depth distribution model to obtain a dispensing depth map; carrying out plane attitude correction to realize fitting; performing three-dimensional connected domain analysis on the fitted dispensing depth map to screen out a dispensing volume measurement area; and calculating the dispensing volume in the dispensing volume measurement area by using a projection method. In combination with a depth map processing algorithm, high-speed and high-precision measurement of the dispensing volume is realized, so that the dispensing volume before dispensing is accurately controlled, and the method has important significance on product quality control in dispensing process production.

The invention relates to the technical field of fluid pressure loads, in particular to a fluid pressure load floating projection topological optimization method based on mworks. According to the technical scheme, the method comprises the following six steps: step 1, defining a design domain and load boundary conditions in MWorks, and dividing grids; the method comprises the following steps of: (1) carrying out iteration convergence and defining initial optimization parameters at the same time, (2) carrying out finite element analysis and calculating a target function, a constraint function and the sensitivity of a corresponding unit, (3) updating design variables in MWorks by adopting a floating projection method, (4) carrying out smooth design on the structure if iteration convergence is carried out, and (5) repeating the steps (2)-(3) if iteration convergence is not carried out. And step 5, judging whether the smooth solution is convergent or not, and if not, repeating the steps 2-4 until the program is strictly convergent. According to the method, a floating projection topological optimization method is adopted, the design is gradually pushed to 0 / 1 through beta iteration, all penalty coefficients are replaced with one parameter, the model is greatly simplified, and the workload is reduced for optimization design.

The invention relates to the technical field of rolling bearing state monitoring, and discloses a rolling bearing performance degradation evaluation method based on kernel optimal global locality preserving projection and Sinkhorn distance, which comprises the following steps: acquiring an original vibration signal of a rolling bearing, performing feature extraction on the original vibration signal, and constructing a high-dimensional feature set; calculating and screening features in the high-dimensional feature set, and constructing a sensitive feature set; performing dimension reduction processing on the sensitive feature set by adopting a kernel optimal global locality preserving projection method to obtain a low-dimensional feature matrix; in the low-dimensional feature matrix, the difference between samples is calculated based on the optimal transmission distance of entropy regularization, and a Sinkhorn distance matrix is constructed; on the basis of the Sinkhorn distance matrix, constructing a degradation index; a health threshold is set, an early degradation point is judged through the degradation index and the health threshold, rolling bearing fault recognition and performance evaluation are achieved in combination with the change trend of the degradation index value, and technical support can be provided for health monitoring and intelligent maintenance of rotary mechanical equipment.

The invention discloses an extreme high temperature inter-year prediction method and device and a storage medium, and belongs to the technical field of inter-year prediction, and the method comprises the steps: obtaining a second extreme high temperature strength index extracted based on multi-mode multi-initial-field return test data in a target prediction time period, inputting the second extreme high temperature strength index into a pre-trained Transform-based region prediction model, and obtaining a prediction result of the second extreme high temperature strength index; acquiring an extreme high-temperature strength inter-year prediction sequence of each region in the target geographic region; and reconstructing the extreme high-temperature strength inter-year prediction sequence of each region to the spatial grid points through a linear projection method to obtain a spatial distribution prediction result of the extreme high-temperature strength in the target geographic region. According to the method, the capability of a power mode for summer extreme high temperature strength interannual prediction is remarkably improved, and the defects of an existing mode in extreme high temperature strength interannual prediction are effectively overcome.

The invention discloses an MATLAB-based turbine blade surface coordinate system establishment and film hole definition method, which is characterized in that a local coordinate system is constructed through parameterized grids, accurate design and spatial positioning of geometric parameters of film holes are realized, firstly, blade molded lines are partitioned, and body-fitted grids are generated; calculating flow direction, spanwise direction and normal direction unit vectors based on the grid nodes to establish a local coordinate system; through mathematical definition of an inclination angle and a compound angle, film hole parameterization design is completed under a local coordinate system and mapped to a global coordinate system to generate an inlet coordinate and an outlet coordinate. By means of the method, the problems that in a traditional two-dimensional projection method, parameters are fuzzy, and the degree of freedom of adjustment is low are solved, high-precision and iterative air film cooling hole design is achieved, and an efficient technical means is provided for cooling performance optimization and manufacturing of aero-engine turbine blades.

The invention belongs to the technical field of data processing, and provides a roadway contour extraction method, system, equipment and medium based on three-dimensional point cloud in order to solve the problems of inaccuracy, low efficiency and the like in existing coal mine roadway feature extraction. Combined noise filtering is carried out on a space formed by connecting angular points of fitting contours on adjacent slices, so that scattered noise and useless shielding are effectively reduced, and the data definition and reliability are improved; based on neighborhood calculation perpendicularity features, a top plate, the ground and the side wall of the roadway are recognized, and non-roadway structure data such as pipelines are accurately removed in combination with a cylinder fitting method and a plane fitting method, so that the accuracy of roadway contour extraction is ensured; and fitting the outermost plane based on the farthest points of the point clouds on the upper, lower, left and right surfaces by adopting a segmentation-projection method, and extracting irregular roadway contours from the top surface, the ground and the side surfaces to realize refined roadway contour extraction.

The invention discloses an AI-supported multi-modal desktop interactive projection method and system, and the method comprises the following steps: synchronously collecting visual signals, tactile data and voice input in a desktop projection environment, and obtaining a multi-modal information set after data fusion; calculating priority weight distribution of each mode according to the multi-mode information set, and obtaining a high-priority mode sequence; if the visual signals in the high-priority modal sequence are judged to be dominant, extracting a visual dominant feature group; performing cross validation on the visual dominant feature group and the tactile data, and judging information consistency after data fusion; according to an information consistency result, dynamically adjusting transparency control parameters of projection layering to obtain optimized hierarchical configuration; and updating the projection display content according to the optimized hierarchical configuration, and outputting the final projection content. According to the method, the interaction real-time performance and immersion of desktop projection are improved, and finally the technical effects of optimizing user experience and improving system intelligence are achieved.

The invention relates to a grabbing parameter calculation method based on garbage three-dimensional modeling, and the method comprises the following steps: S1, based on a multi-view three-dimensional reconstruction technology, employing a multi-view stereoscopic vision algorithm, collecting object multi-angle RGB-D data through a 3D camera, employing a Poisson surface reconstruction algorithm to construct a complete three-dimensional model, and generating a garbage three-dimensional point cloud model, s2, on the basis of the three-dimensional point cloud model in the S1, a Z-buffer depth detection algorithm is adopted, the lowest point of the model in the Z-axis direction is recognized through an axial extremum search method, space reference coordinates are determined in combination with a ground projection method, and reference positioning data are generated. The method has the advantages that the multi-angle RGB-D data is fused through the multi-view three-dimensional reconstruction technology, the high-precision three-dimensional model is constructed by adopting the Poisson surface reconstruction algorithm, the problem of geometric feature deficiency caused by traditional single-view modeling is effectively solved, the spatial representation capability of the special-shaped object is improved, the lowest point of the model is recognized based on the Z-buffer depth detection algorithm, and the accuracy of the model is improved. And space reference coordinates are established in combination with a ground projection method, and the physical rationality of grabbing and positioning is enhanced.

The invention provides a BEC ground state and excitation state determination method and device, equipment and a storage medium. Relates to the technical field of quantum computing. The method comprises the following steps: describing a rotation BEC in a coordinate system by adopting a multi-dimensional dimensionless Gross-Pitaevskii (G-P) equation with an angular momentum rotation item to obtain a representation equation of the rotation BEC, and processing the representation equation of the rotation BEC by adopting a virtual time method and a projection method to obtain a space-time sequence equation of a characteristic value; based on the space-time sequence equation of the characteristic values, using an OC method in the space direction and using a backward Euler method and / or a time midpoint method in the time direction to carry out complete discretization, obtaining a backward Euler type high-order format and a time midpoint type high-order format of the space-time sequence equation, carrying out iterative solution on the high-order formats, and determining a ground state and an excitation state. The device comprises a plurality of modules and is used for executing the method, the equipment and the storage medium comprise a processor, the method is executed through the processor, more calculation space can be saved, and universality is better.

The invention relates to the technical field of intelligent agriculture, and discloses an agricultural machinery driving track identification method based on deep learning, which comprises the following steps: step 1, extracting operation data from agricultural machinery intelligent equipment, and arranging all the data according to a time sequence to form a data source set C; 2, traversing the set C, extracting longitude and latitude data, recording the longitude and latitude data into a new set C1, and converting spherical coordinates into horizontal and vertical coordinates (x, y) in a rectangular plane coordinate system by using a Gaussian projection method to obtain a set C2; and step 3, adopting a DBSCAN density clustering algorithm to classify the set C2. The method depends on GPS latitude and longitude coordinate data, does not need to additionally use a high-precision sensor, then fundamentally reduces the dependence on hardware equipment, and compared with a scheme which highly depends on a sensor in the prior art, the method avoids errors caused by sensor damage and insufficient precision, improves the system stability, and reduces the agricultural production cost at the same time.

The invention provides a risk-based path coordinate system object projection method and system and a vehicle, and the method comprises the steps: building a path coordinate system based on a vehicle planning path, and carrying out the partitioning of a reference line of the path coordinate system, so as to obtain a plurality of reference line intervals; solving a minimum value point in each reference line interval according to the position information of the object needing to be projected, and solving a risk assessment value of each minimum value point in the corresponding path coordinate system; and based on the risk assessment value, selecting a projection result of the object to be projected through a comparison method. According to the method, the minimum value point of the distance between the object and the reference line interval is obtained by adopting a segmented search method, so that one-time traversal calculation is avoided, and the algorithm efficiency in the case of large data volume is ensured; according to the method, the projection information is combined to carry out risk assessment and select the projection result, so that rapid projection on the premise of safety is realized, relatively good accuracy and high efficiency can be kept, and the comprehensive performance of driving planning is improved.

The present invention provides a projection device, a projection method, and a measurement device that are for assisting measurements performed by a three-dimensional measurement machine. This projection method comprises: a step for acquiring a transformation matrix for performing coordinate transformation from a coordinate system of a measurement device (10) to a coordinate system of a projection device (50); a step for using the transformation matrix to perform coordinate transformation to the coordinate system of the projection device with respect to a measurement assistance image in which the shape of a measurement target area of a workpiece that has been installed in the measurement device is indicated by the coordinate system of the measurement device; and a step for projecting the coordinate-transformed measurement assistance image onto the workpiece.

The invention discloses a method for rapidly projecting a large-scale point cloud to a parametric curved surface, a storage medium and equipment, and relates to the technical field of industrial measurement, and the method mainly comprises the steps: carrying out the point cloud extraction according to a CAD theoretical model and a corresponding point cloud grid model, and obtaining a surface parallelogram point cloud; parameterization division is carried out on the curved surface of the CAD theoretical model to obtain parametric curved surface point clouds, a projection initial value is obtained by combining the parametric surface point clouds, and projection points of the to-be-projected points to the parametric curved surface are obtained by using a least square method; by implementing the method, the storage medium and the equipment for rapidly projecting the large-scale point cloud to the parametric curved surface, the large-scale point cloud error analysis speed in industrial measurement can be increased.

The invention provides a projection method and device, terminal equipment, a storage medium and a vehicle. The method comprises the steps that when a projection system of a vehicle is in an on state, an information input assembly can collect description information of a user on a projection object, and at the moment, a vehicle controller can obtain the description information of the projection object and process the description information of the projection object to obtain to-be-projected data corresponding to the description information of the projection object; finally, the vehicle controller controls the vehicle lamp of the vehicle to project the to-be-projected data, through the method, information can be obtained from the user, the to-be-projected data corresponding to the description information of the user on the projection object is projected through the vehicle lamp, and therefore the entertainment and practicability of the vehicle lamp and the man-machine interaction aspect are improved.

A projection system and a projection method are provided. The projection system includes a projection module, an image capture apparatus, an input apparatus, and a processor. The processor is configured to: receive an input signal from the input apparatus and generate an input command accordingly; drive the image capture apparatus to obtain a target captured image, where the target captured image includes a target image corresponding to a target object; transmit the target captured image and the input command to a cloud server; receive an analysis result generated by an artificial intelligence computing module according to the input command and the target image from the cloud server; determine display information according to the analysis result, and calculate a display position of the display information within a projection range; and drive the projection module to project an information image with display information.

A projection device (20) comprises: a distance measurement unit (22) that measures the distance to the projection device (20) from each of three or more non-aligned points located on two non-parallel reference lines, which are drawn on a projection surface (50) in the building and the positions of which are defined in drawing data of a building; an angle measurement unit (27) that measures the angle of the distance measurement unit (22) when the distance was measured; a control unit (24) that performs spatial recognition to link a position in the drawing data with a position on the projection surface (50) on the basis of the measured distance and the angle of the distance measurement unit (22) when the distance was measured; and a projection unit (23) that projects a light-emitting point at a position on the projection surface (50) corresponding to a work position defined in the drawing data. The control unit (24) shifts the position of the light-emitting point on the projection surface (50) on the basis of the result of the spatial recognition.

The invention discloses a public pipe gallery collision detection method, and belongs to the technical field of pipeline collision detection and three-dimensional simulation. The method comprises the following steps: constructing a spatial geometric model of a public pipe gallery according to gallery entering design, and extracting vertex coordinates and triangular mesh information of the spatial geometric model; a mixed hierarchical bounding box model is established, a shaft alignment bounding box is adopted for static structures such as a pipe shaft, a pipe frame and monitoring equipment, a capsule bounding box is adopted for a pipeline, and a hierarchical bounding box tree is constructed from top to bottom; performing interference judgment between the bounding boxes by adopting a repeated projection method to realize coarse detection; performing triangular mesh point cloudization on intersected leaf nodes, and performing fine detection by calculating an inclusion relation between a point set and a capsule bounding box; and finally outputting a collision position. According to the invention, through combination of the mixed hierarchical bounding box structure and the triangular mesh point cloud technology, the precision and efficiency of collision detection in a public pipe gallery scene are significantly improved, the false alarm rate and the calculation complexity are effectively reduced, and the method is suitable for real-time collision detection and pipeline entry planning of a complex industrial pipe gallery.

The invention discloses an additive and subtractive composite manufacturing process planning method based on manufacturability. The method comprises the steps that mesh generation is conducted on an additive and subtractive model, and then fine processing and exporting are conducted; extracting geometric feature edges of the refined grid model, and segmenting the model according to the geometric feature edges to obtain corresponding sub-models; establishing a hierarchical relationship between the sub-modules for the segmented sub-models according to a topological relationship; parameterizing the model based on a heat source geodesic calculation method to obtain a geodesic distance of a vertex in the model body; utilizing a linear interpolation method to calculate geodesic distance isolines for layering to carry out curved surface layering on the volume model; modeling is conducted on the printability of an additive nozzle and the machinability of a subtractive cutter in the additive and subtractive mixed manufacturing process, and corresponding evaluation standards are set; carrying out rapid calculation based on a light source projection method of a Gaussian ball, and solving to obtain an interference relation between the cutter shaft and the obstacle; and establishing a process planning problem model to obtain a planning process of the model.

The application provides a method for trajectory midcourse target recognition based on a low-data-rate HRRP sequence, and relates to the technical field of radar signal processing.The method obtains target signals through steps one and two, and inputs the HRRP sequence obtained by observing the target through a radar sensor as sample data; the method extracts features of the target through steps three and four: the method establishes a precession model by taking a cone-cylinder target as an example, uses the periodicity of scattering center points in the HRRP sequence to perform time-frequency analysis, and realizes one-dimensional feature distribution of energy strength by using a projection method, so as to extract a precession frequency; and the method extracts target structure features, entropy value features and period features; the method performs signal feature fusion processing through step five, classifies the features by performing feature importance analysis and using a Random Forest algorithm, obtains the category of a target to be recognized, and outputs a final fusion result.

The application provides a formation fracturing detection method and device, a storage medium and a processor, and belongs to the technical field of well logging. The method obtains a frequency spectrum array of original array waveform data, calculates slowness values of each acoustic mode, then obtains a frequency dispersion curve greater than a preset resolution according to iterative operation of hierarchical clustering and threshold division, projects the time difference and the frequency of the frequency dispersion curve to a time difference axis by using a time difference-frequency projection method to obtain a time difference-frequency projection curve after fracturing, overlaps the time difference-frequency projection curve after fracturing with a time difference-frequency projection curve before fracturing to obtain a time difference change value at the lowest frequency, and finally determines the degree of formation fracturing according to the time difference change value at the lowest frequency to obtain a formation fracturing detection result, so that the change of formation shear wave velocity caused by fracturing and the degree of formation fracturing can be accurately distinguished.

This application discloses an artificial intelligence-guided projection sand table and its projection method, belonging to the field of digital sand table technology. The sand table includes a data acquisition device, a data processing terminal, and a projector. The data processing terminal is connected to the data acquisition device, and the projector is connected to the data processing terminal. The data acquisition device is used to collect data information about the projection area of ​​the sand table, the observer, and the distance between the observer and the sand table. The data processing terminal is used to process the observer's data and distance information, calculate the projection data using a projection display prediction model, and send it to the projector. The projector is used to adjust the projection parameters of the device according to the projection data to project images. This application's solution uses sensors in the sand table in conjunction with corresponding analysis algorithms to process data, enabling dynamic adjustment of the direction and effect of the sand table's projection display based on changes in the observer's position.

The application relates to a three-dimensional extended target tracking method of an adaptive Gaussian process under unknown measurement noise. Firstly, a forgetting factor is adaptively updated by recursively calculating the change rate of the Cramer-Rao lower bound trace, so that the dynamic optimization of filter parameters is realized; then, a projection method based on GP is used to represent a three-dimensional cross-shaped target, three-dimensional point clouds acquired by a sensor are projected to three orthogonal planes, and the three-dimensional extended shape of the target is reconstructed by using two-dimensional contour information; finally, a robust state estimator is constructed by fusing variational Bayesian inference and MCC, the joint posterior distribution of unknown measurement noise and system state is solved by variational approximation, and a cost function is constructed based on the maximum correlation entropy criterion, so that the influence of abnormal values is inhibited in a reweighted manner. The tracking method provided by the application can significantly improve the tracking precision and robustness of a three-dimensional extended target under unknown strong non-Gaussian measurement noise.

A projection method includes: detecting a projection target; specifying a first region in which an obstacle is not present in the projection target and a second region in which the obstacle is present in the projection target based on a result of detecting the projection target; projecting a first projection image in a part or an entirety of the first region; and projecting a second projection image that is different from the first projection image and indicates that the obstacle is present in the projection target.

The application discloses a rocket recovery trajectory planning method based on an improved model prediction static programming algorithm, the rocket dynamics equation is calculated by using a second-order Pic iteration format, so that state quantities at different moments are independent of each other and state quantity expressions explicitly contain control quantities; non-equidistant scattering is carried out based on Chebyshev polynomials to improve the scattering precision; the MPSP algorithm is used to iteratively solve the optimal control problem after scattering, and a projection method is introduced in the solving process to process the thrust constraint. The application significantly improves the calculation efficiency of the MPSP algorithm and can solve the online trajectory planning problem of the rocket recovery containing complex constraints.

The invention provides a vehicle-mounted projection method, a controller and a vehicle-mounted projection system, and relates to the technical field of vehicles, a corresponding relation is established between the picture size of a projection picture and the screen size of a projection screen, and adaptive screen sizes can be obtained for different picture sizes. On one hand, a projection picture can be adapted to the screen size, the projection definition and brightness are ensured, and the projection quality is improved; and on the other hand, the size of the display curtain and the size of the projection picture are not fixed any more, more use scenes and rich experience can be provided for the user, the whole vehicle becomes more intelligent and humanized, and the vehicle using experience of the user is improved.

The invention provides a target parameter super-resolution estimation method based on an OCDM ISAC system. The target parameter super-resolution estimation method mainly solves the problems that in the prior art, distance and speed resolution are limited by time-frequency resources occupied by the system, and sensing precision is poor. According to the scheme adopted by the invention, modulation symbol elimination is carried out on echo signals, after distance and speed coarse estimation is carried out, combined super-resolution estimation of the target distance and speed is realized by adopting a subspace projection method, and the sensing precision of an ISAC system is improved on the premise that the time-frequency overhead of the system is not increased.

The invention belongs to the technical field of electric power system time delay analysis, and relates to a Lagguerre-Taylor hybrid order reduction method for a multi-time-delay electric power system, which comprises the following steps of: S1, modeling the multi-time-delay electric power system and defining an order reduction problem; s2, a projection matrix is constructed, wherein a Laguerre function and Taylor are expanded and mixed; the method specifically comprises the steps that a projection matrix V1 is constructed based on scale Laguerre function expansion, a projection matrix V2 is constructed based on Taylor expansion, and a high-order block Krylov subspace orthogonal basis is generated based on a high-order block Arnoldi execution process; s3, constructing a Lagguerre-Taylor hybrid projection method of the multi-time-delay power system, and constructing an order reduction system; s4, analyzing the stability of the reduced-order system; according to the method, the reduced-order framework based on the projection matrix is constructed, the time-delay term algebraic structure of an original system is completely reserved, and the defect that the time-delay structure is damaged in an existing method is overcome.