82 results about "Projection method" patented technology

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 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 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.

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 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.

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.

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 relates to the technical field of carbon dioxide capture, in particular to a carbon capture structured filler design and optimization method based on fluid topological optimization, which comprises the following steps: constructing a carbon capture reaction design domain geometric unit, taking a filler basic unit as a core, and setting a fluid inlet and outlet extension section, distinguishing a fluid domain, a solid domain and a transition state between the fluid domain and the solid domain through a continuous material density field, and defining boundary conditions such as a gravitational field matched with an actual absorption tower and adiabatic slippage-free boundary conditions; establishing a polynomial modified topological optimization multi-physics field coupling equation set, introducing a polynomial improved Darcy interpolation function to optimize fluid-solid interface characteristics, and meanwhile, improving numerical stability by combining a filtering method and a projection method; on the basis of the modeling solving platform, a global convergence moving asymptote method is adopted for iterative solving, and a carbon capture filler structure with a fine and complex flow channel is generated; the problems that traditional filler design depends on experience, the design freedom degree is low, and the optimization efficiency is limited can be solved.

A projection method includes generating projection size information representing a dimension of a first projection image displayed on a projection surface based on information output from a sensor, obtaining a first image including a first human image representing a person, generating a third image including a second image which is obtained by adjusting a size of the first human image based on the projection size information, and projecting the third image to thereby display a second projection image on the projection surface.

A projection method includes: displaying, by controlling a projection apparatus, a projection image having four corners inside a display area having four corners, the display area being an area on a projection surface; acquiring a first captured image that is a captured image of a range including the display area where the projection image is displayed; detecting, by performing image processing on the first captured image, a plurality of first feature points corresponding one-to-one to each of four corners of a first image indicating the display area in the first captured image; displaying, by controlling the projection apparatus, a pointer image for adjusting a shape of the projection image, the pointer image being located at a corner of the projection image; performing a first correction of correcting the shape of the projection image by changing a position of the corner of the projection image based on a user operation for moving the pointer image; and performing, based on the plurality of first feature points, a second correction for maintaining a positional relationship between the four corners of the display area and the four corners of the projection image determined by the first correction.

A projection method, a projection apparatus and a related product relating to the field of autonomous driving. The projection method comprises: a projection apparatus (250) projects a light beam into a first environment, the projected light beam being a light beam obtained by filtering using a first filtering parameter set, wherein the first filtering parameter set is determined on the basis of first environment information corresponding to the first environment, such that the first filtering parameter set is continuously adjusted on the basis of the change of the first environment information, and a light beam outputted from the projection apparatus (250) also changes on the basis of the change of the first filtering parameter set, thereby achieving the effect that the projection apparatus (250) projects different patterns in the first environment. The projection method utilizes the filtering characteristics of a filtering unit, so that the projection apparatus (250) projects different patterns, thereby facilitating a simplified and low-cost design of the projection apparatus.

The invention provides a projection system and a projection method. The projection system comprises a projection module, an image acquisition device, an input device and a processor. The processor is configured to: receive an input signal of an input device and generate an input instruction according to the input signal; driving the image acquisition device to acquire a target acquisition image, wherein the target acquisition image comprises a target image corresponding to the target object; transmitting the target captured image and the input instruction to a cloud server; receiving an analysis result generated by an artificial intelligence operation module from the cloud server based on the input instruction and the target image; determining display information according to an analysis result, and calculating a display position of the display information in the projection range; and driving the projection module to project an information image with display information. According to the projection system and the projection method provided by the invention, the target information corresponding to the target object can be projected and displayed around the target object in time.

The application discloses an intelligent interactive projection method and an interactive projection device, and relates to the technical field of interactive projection.The application solves the technical problem that the recognition accuracy is low, the algorithm cannot accurately detect the key features of user actions, and the interaction is affected.The application generates signals by detecting the detailed features of user gestures and the multi-dimensional information of specific objects in the motion signal generation stage for static motion signals.Compared with some simple motion detection methods, the application can more accurately recognize static actions.For real-time motion signals, the application improves the accuracy of real-time motion recognition by comprehensively capturing motion features, and efficiently processes image data by using advanced computer vision algorithms and signal processing technologies.In the real-time motion signal processing process, the application meets the real-time requirements by quickly preprocessing images, extracting features and processing in segments, and guarantees the smoothness of the interaction.

The invention provides projection device, a projection method and a projection system. The projection system includes the projection device. The projection method is for controlling the projection device. The projection device includes a projection apparatus, a video and audio processing circuit and a power control circuit. The video and audio processing circuit is coupled to the projection apparatus. The power control circuit is coupled to the projection apparatus and the video and audio processing circuit. The power control circuit is for receiving a power signal correspondingly provided by an external power supply unit when a switchable mechanism is in an open state. The power control circuit enables the projection apparatus and the video and audio processing circuit according to the power signal, such that the video and audio processing circuit outputs image data to the projection apparatus and controls the projection apparatus to project a dynamic projection image.

This invention discloses a phase-height mapping calibration method and apparatus in fringe projection, relating to the field of three-dimensional object contour measurement technology. The method includes: controlling a projector to project a set of phase-shifted sinusoidal fringe patterns onto a micromirror array with known height values; simultaneously triggering a camera to acquire fringe image sequences; performing phase shift calculations on the fringe image sequences to obtain a wrap-around phase map; constructing a global optimization model of absolute phase using the known height value of the micromirror array as an absolute constraint; solving for the absolute phase field corresponding to the height of the micromirror array; extracting the center coordinates, absolute phase values, and known height values ​​of each micromirror element; constructing a three-dimensional control point set; fitting the three-dimensional control point set; calculating the continuous model coefficient field; and forming a phase-height lookup table. This invention can significantly improve the real-time calculation efficiency of three-dimensional measurement, meeting the practical needs of high-precision, high-stability industrial three-dimensional shape measurement.

The application discloses a deep learning assisted subspace plane array DOA estimation method, relates to the technical field of satellite navigation and artificial intelligence, and realizes high-precision DOA estimation and anti-interference in a hardware resource limited scene by combining light-weight deep learning and an optimized subspace method. First, a plane array receives a signal and calculates a covariance matrix, then a light-weight CNN-Transformer network is used to perform real-time processing on the covariance matrix, and a joint probability distribution of the elevation angle and the azimuth angle is output to provide a coarse estimation; then, a dynamic weighting strategy is used to enhance the covariance matrix, a fast MUSIC algorithm is executed in a local region guided by deep learning to realize fine DOA estimation; finally, a projection method is used to generate a null in the interference direction while maintaining the gain of the navigation signal direction, and anti-interference beam forming is completed. The application solves the problems of DOA estimation and anti-interference of a small plane array under a low SNR by combining the innovation of deep learning guided subspace search and the projection method beam forming and by synergistic optimization of a hybrid architecture, and has high precision and low resource consumption.

The present application relates to the technical field of measurement, in particular to a kind of full parameter measurement method of arc end tooth under error driving, to solve the problem that traditional projection method cannot obtain correct addendum position, three-coordinate scanning needs to rely on standard division circle parameter, it is difficult to accurately measure when there is no original processing parameter, the present application is directly measured and the key parameters are preliminarily calibrated by optical projection method, the number of gear teeth is determined by three-coordinate scanning, and the preliminary value of full parameter is calculated, the theoretical tooth profile model is constructed by inputting preliminary parameter into gear measuring center, the actual topological map is obtained by scanning actual tooth surface, and the key parameters such as pitch diameter are adjusted iteratively according to error mode after comparison, until the error is up to standard, three-dimensional model is constructed based on correction parameter and compared with workpiece to verify.The method does not need original processing parameter, and the accuracy and applicability of arc end tooth parameter measurement are improved.

Provided are a projection device and a projection method for assisting in measurement by a three-dimensional measuring machine. This projection method comprises: a step for generating, through use of a processing unit (102), measurement assistance images (AS1-AS2, SF1, P1-P3, H1-H2, A1-A2) corresponding to the contour or shape of a workpiece (W) installed in a measurement device (10), on the basis of the position and orientation of the workpiece (W); and a step for projecting the measurement assistance images (AS1-AS2, SF1, P1-P3, H1-H2, A1-A2) onto the workpiece (W) from a projection unit (50).

The application relates to the technical field of optimal scheduling of distributed power grids, and specifically discloses a two-stage optimal scheduling method for distributed power grids based on a probabilistic power flow and a WOA-PPSO algorithm, which comprises the following steps: constructing a probabilistic power flow model, calculating the probability distribution characteristics of node voltage and line flow in the power grid containing wind power, photovoltaic power and load randomness based on the semi-invariant method and Gram-Charlier series expansion. The application introduces the probabilistic power flow modeling into the optimization constraint of the scheduling algorithm, and responds to the uncertainty that may exist in the power grid in real time; by constructing a two-stage scheduling algorithm, the global optimal scheduling plan is generated based on the WOA algorithm in the day-ahead scheduling, and the deviation caused by the uncertainty is quickly responded on the basis of the optimal scheduling plan in the real-time scheduling of the day; and the result of the day-ahead scheduling is taken as the reference starting value of the real-time scheduling of the day, and the projection method is combined with the PSO algorithm to construct the PPSO algorithm, so that the solving speed in the real-time scheduling of the day is maximally improved.

The application discloses a power system false data attack method based on a signal space projection method, and the method steps comprise the following steps: S1, a traditional false data injection attack-defense double-layer model is established; S2, considering the concealment of false data, a signal offset two norm inequality constraint is established; S3, a signal space projection method is proposed, the two norm inequality constraint is projected to the Jacobian matrix column space and the left null space for linearization, and then the solution is obtained through a convex optimization method, in the aspect of the false data injection attack of the power system, the FDI attack mode for guaranteeing that the false data escapes various test methods by adding the two norm constraint is simulated, meanwhile, the signal space projection method is proposed, the two norm inequality constraint is projected onto the hyperplane of each space first, and then is projected onto each singular unit vector, so that the high-dimensional vector two norm constraint is simplified, and the solution of the constraint model is accelerated, and reference is provided for power system information security.

The application relates to the technical field of lattice structure optimization, and discloses a lattice structure based on topological optimization, a design method and application, a topological optimization model is constructed, and physical parameters and optimization parameters of the topological optimization model are initialized; a structure design domain corresponding to the topological optimization model, a load and boundary conditions are defined, and a finite element model is established; the defined load and boundary conditions are applied to the topological optimization model, finite element analysis is carried out, displacement responses of each node on the design domain are obtained, and the sensitivity of structural flexibility and volume to design variables is analyzed; the sensitivity is filtered, and the material density represented by the design variable is filtered by adopting a projection method based on a Heaviside function to inhibit the chessboard phenomenon; the design variable is updated according to the filtered sensitivity and the material density; whether the current iteration result meets a convergence condition is checked, if yes, the result is output, and if not, iteration is continued.

The invention belongs to the technical field of aeroelastic design and analysis of aircrafts, and particularly relates to an unsteady aerodynamic reduced-order model construction method and application based on a KAN network, and the method comprises the steps: firstly obtaining an aerodynamic response sample sequence of an aircraft in a limit cycle oscillation state; designing and filtering Gaussian white noise as an excitation signal, and obtaining high-precision aerodynamic data through fluid dynamics simulation; utilizing a linear subspace projection method to identify and obtain a linear state space model; a state estimation value of the linear model is used as input, a prediction residual error of the linear model is used as output, a KAN network is trained, and nonlinear mapping learned by the network is converted into an explicit mathematical expression through symbol regression; and finally, combining the linear state space model with an explicit nonlinear term to obtain a physically interpretable white-box aerodynamic force reduced-order model. According to the method, the defects that a traditional CFD method is high in calculation cost and has a neural network black box problem are overcome, and an effective tool is provided for aeroelastic mechanism analysis and optimization design.

The invention relates to the technical field of seismic data processing, in particular to a triple convex set projection seismic data interpolation method, device and equipment. Obtaining seismic data containing missing channels; obtaining a mask matrix and initial reconstruction data according to the seismic data; projecting the initial reconstruction data to a preset frequency domain sparse constraint set to obtain a frequency domain sparse projection result; projecting the frequency domain sparse projection result to a preset transverse constraint set to obtain a transverse constraint projection result; projecting the transverse constraint projection result to a preset data constraint set to obtain a data constraint projection result; and taking the data constraint projection result as initial reconstruction data, repeating the three projection steps until a preset convergence condition is met or the maximum number of iterations is reached, and outputting the data constraint projection result obtained by the last iteration as a final interpolation result. The defect that a traditional convex set projection method is insufficient in inter-channel relevance modeling is overcome, and the interpolation precision in a continuous multi-channel missing scene is improved.

The invention discloses a priori calculation method and device for a penalty multiplication factor for determining constraint strength in a projection type reduced-order model, and solves the problems that an existing value taking mode of the penalty multiplication factor seriously depends on manual empirical adjustment, the efficiency is low, a large amount of redundant calculation is generated due to the fact that the reduced-order model is solved for multiple times, and the calculation cost is high. The calculation cost and the calculation time consumption are obviously increased. The method comprises the following steps: solving a control equation for a parameterization problem under a plurality of representative parameters by adopting a discrete method to obtain a full-order solution sample, thereby obtaining a characteristic mode through intrinsic orthogonal decomposition. A reduced-order model is constructed through a Galerkin projection method, boundary constraints are introduced in combination with penalty multiplication, and then an optimal penalty multiplication factor is obtained through an optimization algorithm. And taking the result as an initial value, searching a minimum value of an error cost function through an optimization algorithm, and adjusting the value of a penalty multiplication factor to realize the balance of calculation cost control and precision improvement.

The invention provides a projection method and device of a three-dimensional grid model, equipment and a storage medium. The method comprises the following steps: constructing edge topology information and a tree object of the three-dimensional grid model; wherein the three-dimensional mesh model comprises a plurality of surface patches, and each surface patch comprises a plurality of edges and a plurality of vertexes; the edge topology information is generated according to edges and vertexes of a plurality of patches; the tree object is obtained by dividing according to a bounding box of the three-dimensional grid model; determining candidate edges in the edge topology information according to a projection direction and a projection reference plane; wherein the candidate edge is an edge which needs to be subjected to visibility screening; determining a visible edge according to the projection direction, the candidate edge and the tree object; the visible edge is the candidate edge which can be projected to a projection reference plane; and projecting the visible edge according to the projection direction and the projection reference plane to obtain a two-dimensional projection line graph of the three-dimensional grid model on the projection reference plane.