48 results about "Projection space" patented technology

The invention provides a boundary-guided rolling bearing semi-supervised fault diagnosis method and system, and relates to the technical field of bearing fault diagnosis, and the method comprises the steps: collecting a rolling bearing vibration signal data set which comprises a labeled sample and an unlabeled sample; constructing a diagnosis network; inputting the time domain and frequency domain signals into a feature extractor to extract features; performing cross-mask comparison learning on an output layer of the feature extractor, and calculating cross-mask comparison loss; carrying out asymmetric predictive contrast learning in the projection space, and calculating asymmetric predictive contrast loss; constructing a boundary guiding mechanism by using the labeled samples, and guiding unlabeled sample aggregation by monitoring loss; introducing a consistency regularization mechanism, and constructing consistency loss by using time-frequency prediction distribution of unlabeled samples; integrating each loss training network until convergence; and finally, fault diagnosis of the label-free signal is realized. According to the method, the problems of fuzzy inter-class boundary and poor feature clustering quality under limited labeling are solved, and the diagnosis precision and robustness are improved.

The invention belongs to the technical field of mining engineering, discloses a mining roadway non-uniform three-dimensional deformation grading calculation and analysis method, and aims to solve the problems that a traditional point cloud comparison method is low in precision and large in error in a roadway high-deformation and non-uniform-deformation environment, and traditional monitoring wiring is complex and cannot achieve global coverage. According to the technical key points, in a GNSS-free underground environment, a portable three-dimensional laser scanning device integrating SLAM synchronous positioning and a map construction technology is adopted to collect two-stage roadway point cloud data, a centimeter-level precision three-dimensional model is constructed through a pose map optimization algorithm, a two-stage deformation hierarchical optimization algorithm is designed, and a two-stage deformation hierarchical optimization algorithm is designed. In the first stage, a deformation core point is selected based on super voxel segmentation, rough calculation is performed in a cylindrical projection space, and a key deformation area is rapidly identified, and in the second stage, a refined displacement amount is calculated for a point whose displacement exceeds a threshold value through geometric constraint and a centroid method, and the data quality is improved in combination with point cloud denoising, so that high-precision continuous monitoring of the full section of the roadway is realized.

The invention relates to the technical field of computer-aided analysis, in particular to a floating foundation structure dynamic response real-time analysis system and method.The system comprises a residual vector calculation module for generating a residual force vector based on a full-order external excitation force vector, an increment base generation module for calculating a modal amplitude and constructing an increment base vector, and an increment base generation module for generating an increment base vector; the reduced-order matrix updating module constructs an enhanced reduced-order model by using the updated projection matrix, and the transient response solving module solves and obtains a corrected generalized coordinate value based on the enhanced reduced-order model and maps the corrected generalized coordinate value into a dynamic displacement field. According to the method, a residual vector is generated by calculating a difference value between full-order external excitation and internal force, residual force is mapped into static deformation distribution by using a stiffness matrix inverse operator, an incremental base is constructed through orthogonalization processing, adaptive updating of a projection space of a reduced-order model is realized, the system dimension is reduced, and the precision is guaranteed. And the calculation efficiency and the real-time performance of dynamic response analysis of the floating structure are improved.

The invention relates to an intention recognition system based on a multi-mode agent and data annotation, in particular to the field of artificial intelligence, according to the scheme, a semantic gap between different modes is effectively bridged by constructing a unified semantic projection space, the reliability of information of each mode is quantitatively and dynamically evaluated by using uncertainty, weighted fusion is performed on the basis, and the intention recognition accuracy is improved. A cross-modal semantic memory network and an online learning mechanism are innovatively introduced, so that the scheme not only can make more accurate intention inference by integrating historical experience and real-time perception, but also can continuously optimize own confidence assessment ability and a memory bank in an interaction process; therefore, the method has higher adaptability and robustness in the environment with noise, missing information and dynamic change.

A rapid verification method for adaptive radiotherapy dose consistency in the TOMO system is disclosed, relating to the field of medical information technology, particularly TOMO radiotherapy information processing. The method includes: acquiring flux distribution data and the original region of interest (ROI) from the original radiotherapy plan; projecting the ROI onto the flux projection space based on the beam geometry parameters of the original radiotherapy plan, and establishing a mapping relationship as a reference index; acquiring the target ROI for the adaptive radiotherapy phase; updating the mapping relationship based on the flux distribution data and the target ROI, and using the mapping relationship as the target index; detecting the data consistency between the target index and the reference index, and determining the dose distribution change information of the target object. This application solves the technical problems in existing technologies where adaptive radiotherapy dose consistency verification relies on a high-load dose calculation engine for data reprocessing, resulting in large amounts of computational data, high system response latency, and inability to meet the timeliness requirements for online verification.

To provide a blasting device for a wall surface that requires less manpower for work.SOLUTION: A wall-surface blasting device for performing blast treatment on a steel portion of a wall surface of a steel bridge, comprises a body portion and a lifting portion that lifts the body portion and causes the body portion to face the steel portion. The body portion includes: a projection unit that projects an abrasive material for the blast treatment; a collection unit that collects the abrasive material projected by the projection unit; and a circulation unit that supplies the abrasive material, collected by the collection unit, to the projection unit. A closed projection space in which the abrasive material is projected toward the wall surface is defined by its being closed by the wall surface while the body portion is kept facing the steel portion. The abrasive material projected from the projection unit in the closed projection space is collected by the collection unit, and the abrasive material is supplied to the circulation unit. The abrasive material supplied to the circulation unit is supplied to the projection unit, and the abrasive material is projected again from the projection unit.SELECTED DRAWING: Figure 1

The invention relates to the technical field of mixed reality and immersive display, and discloses an immersive scene experience system and method based on mixed reality superposition projection, and the system comprises an experience module which is formed by a plurality of projection curtains in a surrounding manner, and an experience space is formed in the plurality of projection curtains; the projection module is used for constructing a holographic projection scene; the MR glasses device is used for displaying a virtual image and space interaction; the space positioning module is used for generating a space model and forming an NFC label identifier in the space model; the control module is used for receiving position information of the MR glasses in the projection space; and controlling a playing picture of the projection module and / or the MR glasses device according to the position information. Compared with a traditional mode, the integration degree between the virtual image and the holographic projection scene is higher; meanwhile, the user triggers a virtual event or operates a virtual object in a scene through a gesture, and dynamically adjusts the content of a virtual image according to real-time sensor data, so as to keep synchronization with the action of the user.

The application proposes a polyhedral immersion projection system, and the system comprises a polyhedral projection space which comprises a plurality of wall surface bodies which are arranged in a surrounding manner, top surface bodies which are disposed at the top side of each wall surface body, and bottom surface bodies, and the top surface bodies are disposed in an inclined manner relative to the wall surface bodies, and a top opening is formed by the surrounding of the plurality of top surface bodies; the projection assembly is arranged at the top opening and used for projecting pictures to the wall surface body and the top surface body, and an inclined plane is designed at the top of a traditional pentahedron space to construct a polyhedral immersion space for obtaining immersion experience induction and projection area.

This invention proposes a structurally enhanced discriminative width learning system for image classification. First, it introduces graph regularization based on class relationships to ensure that similar samples remain closely distributed in the projection space. Second, it adds intra-class divergence regularization to further enhance the aggregation of samples within the same class. Furthermore, it introduces inter-class divergence regularization to ensure that the centers of different classes are far apart in the feature space. Finally, in the output layer regression stage, it replaces the Frobenius norm regularization in ridge regression with sparse norm regularization to effectively suppress noise and redundant information. This image classification scheme, while maintaining the simplicity and efficiency of the optimization process, organically integrates three different types of structured information—intra-class structure, inter-class structure, and local manifold information—into a unified model, enabling the learned feature representations to possess stronger structure preservation and discriminative capabilities.

The invention provides a model construction and display method for a fusion projection space and electronic equipment. The method comprises the following steps: acquiring an initial model corresponding to the fusion projection space to be projected; obtaining an area needing independent display control in the fusion projection space, and constructing a shape object in the initial model according to the position of the area; setting projection textures of the initial model and the shape object to be different, and performing projection; and adjusting the shape object according to the overlap ratio of the projected shape object and the area until the overlap ratio reaches a threshold value, and storing the shape object and the initial model in an associated manner to obtain a final model. According to the method, the area is covered by constructing the shape object in the initial model, so that the modeling of the area is realized, the modeling efficiency is improved, the projection effect of the shape object can be visually seen, and the modeling accuracy is ensured.

The invention discloses a projector setting method, which comprises the following steps of: setting a group of projection space parameters and a group of projector erection parameters of at least one projector by utilizing a computer system; executing a projection simulation program, performing calculation based on the set of projection space parameters and the set of projector erection parameters by using the computer system, and determining a set of setting parameters related to the projectors; setting a group of configuration parameters related to the projector by using the computer system, wherein the group of configuration parameters comprises an ID (Identity) number and an IP (Internet Protocol) address; and storing the set of configuration parameters and the set of setting parameters about the projector to the mobile device.

The invention discloses a Grasshopper-based parameterized modeling method for a polygon projection space distorted surface reticulated shell, which comprises the following steps of: S1, setting geometric parameters of a reticulated shell model in a Grasshopper platform through an input plug-in, and obtaining a corresponding projection surface of a space curved surface reticulated shell surface; s2, connecting vertexes of the projection surface to generate ridge lines forming a reticulated shell curved surface, and constructing a polygonal projection space distorted surface through curved surface generation operation based on the ridge lines; s3, performing grid division on the spatial warping surface by using an isoparametric method or a mapping method to generate grid points; and S4, based on the grid points, generating a single-layer polygonal projection space distorted surface latticed shell structure through a polyline connection plug-in. The method is used for solving the technical problems that an existing spatial reticulated shell structure with a complex shape is difficult to model, the modeling efficiency is low, and the repeated utilization rate is low.

An electronic device is disclosed. The present electronic device comprises: an output device that emits infrared rays from the front of the electronic device; a distance sensor that measures the distance to an object; a camera; a memory storing at least one instruction; and at least one processor that executes the at least one instruction, wherein the at least one processor controls the output device to emit infrared rays in the direction in which an image is projected, acquires information of an object approaching the projection space between a source and the projection area in which the image is projected, on the basis of distance information acquired by the distance sensor and the infrared distribution in a captured image acquired by the camera, and controls an image projection operation on the basis of the acquired object information.

The invention discloses a multi-modal BEV perception consistency alignment checking method based on language structure prior, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining multi-modal sensor data, and mapping the multi-modal sensor data to a virtual projection space; and based on the large language model, generating language structure priori in a structured text form, and mapping the language structure priori to the virtual projection space to generate a structure constraint field. In the training stage, based on a structure constraint field, weak supervision consistency loss is constructed, an evidence gating mechanism is introduced, loss weight is dynamically adjusted according to an evidence intensity score, and joint optimization is carried out on the network. In the reasoning stage, consistency checking is carried out on BEV sensing results by utilizing a structure constraint field, and confidence reestimation, hallucination suppression and open set rejection are carried out in combination with a structure conflict score and an evidence intensity score. The problems of structure default and high-confidence illusion under the weak evidence working condition are solved, and the physical consistency and reliability of the sensing result are improved.

The invention discloses a three-dimensional scene object identification method based on display precision, and the method comprises the following steps: obtaining a viewpoint parameter of a current three-dimensional scene, and determining a display precision state of current three-dimensional space data based on the viewpoint parameter and a preset precision grading strategy; calculating a model precision deviation parameter for quantifying the geometric simplification degree of the current model according to the display precision state; based on the model precision deviation parameter, dynamically determining a space determination parameter for three-dimensional space object identification; responding to a user interaction operation, obtaining a corresponding screen coordinate and mapping the screen coordinate to the three-dimensional projection space; taking the mapped projection position as a center, constructing an effective judgment area according to the dynamic space judgment parameters, judging the three-dimensional space object in the effective judgment area, and determining a target object; based on the identification information of the target object, triggering and executing an interaction processing operation associated with the target object; the method has stability and practicability in a complex large-scale scene.

A projector setting method includes: using a computer system to configure a set of projection space parameters and a set of projector installation parameters about at least one projector; executing a projection simulation program, which uses the computer system to perform calculations based on the set of projection space parameters and the set of projector installation parameters, and determines a set of setting parameters for the projector; using the computer system to configure a set of allocation parameters for the projector, in which the set of allocation parameters includes an ID number and an IP address; and storing the set of allocation parameters and the set of setting parameters about the projector to a mobile device.

This application provides a scanning image reconstruction method and scanning imaging system adapted to incomplete data, relating to the fields of image processing, artificial intelligence, and radiation imaging technology. The method includes: in response to a ray scanning of an object to be imaged, acquiring projection data of the object, wherein the projection data is incomplete projection data in a projection space; transforming the incomplete projection data into first template data according to the mapping relationship between the projection space and a template data space; pre-completing the first template data to obtain second template data; acquiring confidence information of the second template data; inputting the second template data and confidence information as input to a pre-trained data processing model; processing the input using a first sub-model to obtain third template data; and performing image reconstruction based on the third template data to obtain a reconstructed image. This method can improve the efficiency and accuracy of data completion while ensuring the fidelity of the original sampled projection, and is beneficial for obtaining high-quality reconstructed images.

A computer-implemented method for profile detection in a discrete 3D model. The discrete 3D model represents a mechanical part. The method includes, for each 3D surface of at least one 3D surface of the 3D model, providing a candidate parameterization of the 3D surface and a candidate projection of the 3D surface into . The method further includes computing a function. The function penalizes, for each couple of points of the 3D surface having neighboring parameter values, a distortion. The distortion is between a disparity between the projection of the points, and a disparity between the parameterization of the points. The method further includes determining that the candidate parameterization and the candidate projection form a valid profile of the 3D surface if the computed function is smaller than a predefined threshold.

The invention discloses a vector query method and device, and the method comprises the steps: mapping a received query vector to a low-dimensional projection space, and obtaining a projection query point; a root node of the pre-constructed index tree is provided with a plurality of sub-trees, leaf nodes of the pre-constructed index tree are used for storing data points in the low-dimensional projection space, each node of the index tree corresponds to an area in the low-dimensional projection space, and the area corresponding to the sub-nodes in the index tree is included in the area corresponding to the father node; distributing the plurality of sub-trees to a plurality of processing units, and executing range query on the distributed sub-trees by each processing unit: traversing nodes of the sub-trees, and for non-leaf nodes in the sub-trees, if the lower bound of the distance between a corresponding region of the non-leaf nodes and a projection query point is greater than a preset search radius, pruning the sub-trees of the non-leaf nodes; and for a first leaf node in the sub-tree, if the lower bound of the distance between the corresponding region and the projection query point is greater than the search radius, adding data points contained in the first leaf node into a local candidate set for determining a query result.

A method for determining a collision range includes: determining a grid plane corresponding to a model, the grid plane including a plurality of grid regions; projecting the model to the grid plane and obtaining height information of the model with respect to the grid plane, the height information of the model including grid height information corresponding to a grid region that identifies a height of a sub-model in the model with respect to the grid plane, and the sub-model being a portion of the model in a projection space of the grid region; and obtaining a collision range of the model according to the grid plane and the height information.

The invention discloses a multi-source domain migration adaptive crane plate crack quantitative damage detection method, and relates to the technical field of mechanical equipment fault diagnosis, and the method comprises the steps: carrying out the two-dimensional wavelet transformation of a collected stress wave signal, and constructing a multi-source domain and target domain sample set; selecting anchor points from a target domain to construct a discriminant projection space, projecting a multi-source domain sample and the anchor points to the space, and performing weighted alignment based on feature similarity to obtain a preliminary alignment sample set; extracting a domain feature set by using a multi-sensor information fusion feature extractor, screening features in combination with information gain and a maximum correlation minimum redundancy criterion, removing negative migration features and retaining effective features; a subspace structure is adopted to maintain model alignment feature distribution, and inter-domain difference is minimized to obtain alignment feature representation; and training an initial classifier based on the representation, and performing two-stage fine tuning through target domain features to obtain a crack quantitative damage detection model. And through multi-source domain migration and optimized feature screening, the accuracy of crack detection is improved.

The invention relates to a pedestrian text retrieval method based on cross-modal alignment, which comprises the following steps of: firstly, respectively extracting features from an image and a text by using a CLIP dual encoder, projecting the features to a public projection space to calculate global similarity, secondly, designing a dual-modal local prototype module to respectively store local features of the image and the text, further enhancing the fine granularity of the local features, and finally, extracting the feature of the image and the feature of the text. An independent memory bank is established for each prototype module to record local features of the prototype module, so that the model can retain feature differences in modals and realize cross-modal local alignment at the same time, and then a text enhancement module is designed to randomly mask texts and replace the texts with error words; and predicting the semantic information perception capability of the original text enhancement model through a multi-layer perceptron.

The invention discloses a three-dimensional space ellipsoid rendering method based on Fresnel reflection, and the method comprises the steps: 1, space ellipsoid modeling: building a local space coordinate system, constructing a key point coordinate of a space ellipsoid, calculating a normal direction vector of a vertex, assigning a texture coordinate to each vertex, and obtaining vertex data of the space ellipsoid; step 2, vertex coordinate conversion and reflectivity calculation: using a GPU vertex shader, combining a world change matrix, a camera space transformation matrix and a projection space transformation matrix, recalculating vertex coordinates, and obtaining plane coordinates after vertex data projection; calculating an inverse matrix of the world transformation matrix, calculating the spatial position of the camera in a local coordinate system, and calculating the reflectivity of a vertex by combining a Fresnel reflection equation; and step 3, fragment color fusion: pixel data is transmitted into a pixel shader, texture mapping information is combined, fragment color values are calculated, and a three-dimensional space ellipsoid Fresnel reflection rendering effect is realized.

The invention discloses a magnetic resonance system fault diagnosis method based on multi-parameter radial coordinate visualization, and belongs to the technical field of magnetic resonance. The method comprises the following steps: firstly, performing contribution rate sorting on monitoring parameters under different fault types according to priori knowledge, and rearranging variables; arranging the sorted multiple parameters on the circumference at equal intervals to form a radial coordinate initial projection layout, and iteratively optimizing the weight and the anchor point angle of each dimension by adopting an intelligent optimization algorithm to maximize the Euclidean distance between the fault data and the normal data in a two-dimensional projection space; and carrying out radial coordinate projection on the current test data based on the optimized projection parameters, and judging whether the system has a fault and the specific fault type by calculating Euclidean distances between the current test data and various fault data and normal data projection points. The method can effectively fuse multi-dimensional parameter association information, improves early fault sensitivity and fault traceability accuracy, and has the advantages of high diagnosis efficiency, strong adaptability and small required sample size.

This application provides an information recommendation method, apparatus, electronic device, and computer-readable storage medium based on artificial intelligence. The method includes: acquiring multiple recommendation features for a task to be recommended, the multiple recommendation features including at least one item feature of the information to be recommended and at least one user feature of the target user; performing feature projection processing on the multiple recommendation features based on the projection space corresponding to each recommendation feature to obtain projected features of the projection space; performing feature interaction processing based on each recommendation feature and the projected features of the corresponding projection space to obtain a feature domain corresponding to each recommendation feature; performing index prediction processing based on the feature domains corresponding to the multiple recommendation features to obtain a recommendation index for the target user corresponding to the information to be recommended; and executing the recommendation task based on the recommendation index for the target user corresponding to the information to be recommended. This application can improve the accuracy of content or information recommendation.

The present application provides a kind of based on three-dimensional reconstruction and point cloud segmentation sheep body size measurement method, equipment, medium and program product, it is related to computer vision technical field.The method comprises: collecting the sheep image of the sheep to be measured, and the sheep image is preprocessed, obtains the multi-view sheep target point cloud;Multi-view sheep target point cloud is registered and handled, and the three-dimensional model of sheep is obtained;Based on body size measurement key point and the three-dimensional model of sheep, point cloud segmentation processing is carried out, and key point area point cloud is obtained;Based on key point area point cloud, determine the region point cloud projection space, and posture normalization is carried out to interval point cloud, determine the posture normalized key point area point cloud;Based on posture normalized key point area point cloud, calculate the body size data of the sheep to be measured.The present application embodiment realizes the measurement of the body size data of sheep by three-dimensional reconstruction of the surface point cloud of sheep, improves the measurement efficiency and accuracy.

This invention relates to the field of environmental data processing technology, specifically to a method for analyzing mobile total phosphorus (TP) measurement data in water. The method involves acquiring mobile observation data and calculating concentration differences and azimuth angles, modeling abrupt change trends to identify abnormal regions, constructing a projection space for correction and attribution, reconstructing the response curve to extract inflection points, and analyzing trend direction and location shift. In this invention, by establishing continuous line segments between observed TP values ​​and coordinate data and analyzing their azimuth angles and concentration differences, the spatial gradient trend of concentration changes can be dynamically captured. By identifying abrupt change patterns in concentration changes within boundary regions, the ability to perceive the location of abnormal concentration fluctuations is improved. By constructing a normal boundary projection space and analyzing the density and aggregation direction inside and outside the region, spatial consistency correction for abrupt region attribution is achieved. By reconstructing the concentration response change curve through inflection point sequences and modeling its change trend, the dynamic migration law of TP concentration distribution along the water body can be comprehensively revealed.

A sign recognition device recognizes a prescribed sign drawn so as to extend in a fixed direction on a movement path of a moving body that is capable of moving on both a roadway and a prescribed region different from the roadway. The sign recognition device extracts individual contour points positioned in a contour part of the region of the sign captured in a two-dimensional image which is captured by an imaging device that images at least the movement path, projects the position of each contour point extracted in the image into a two-dimensional projection space, detects the direction in which the sign is drawn on the basis of the direction of a contour line segment between two adjacent contour points, and outputs end point information indicating an end point of the region in which the sign is drawn.

The invention relates to the field of man-machine interaction, and discloses a multi-dimensional interactive projection method based on position matching, which is applied to a control device of a projection system, and comprises the following steps: controlling a first projection device to project a plurality of interactive elements on a first projection plane, the first projection device corresponding to the first projection plane, the first projection surface is one of the plurality of projection surfaces; determining user position information of the user in the projection space through positioning equipment; if the user position information is matched with a projection position corresponding to a target interaction element, a target image resource corresponding to the target interaction element is determined, and the target interaction element is at least one of multiple interaction elements; and controlling one or more projection devices to project the target image resource. By implementing the embodiment of the invention, multi-dimensional projection can be realized, and meanwhile, the user interaction experience can be enhanced.

The invention belongs to the technical field of auxiliary building design, and particularly discloses an elliptical projection space curved surface reticulated shell parameterized modeling method and system, the method is executed in a grasshopper platform, and comprises the following steps: determining geometric parameters of a predetermined elliptical projection space curved surface reticulated shell model according to a geometric relationship of the model, inputting each geometric parameter by using an input plug-in, generating an external oval side line and an internal ridge line based on the input parameters; based on the external oval side lines and the internal ridge lines, an oval projection space curved surface is generated through scanning operation by utilizing a double-track scanning plug-in; dividing the elliptic projection space curved surface by using a division frequency plug-in and adopting an isoparametric method to generate upper-layer grid points; and generating a single-layer elliptical projection space curved surface reticulated shell based on the upper-layer grid points by utilizing a point generation line plug-in. According to the method, parametric modeling of the complex elliptical projection space curved surface reticulated shell can be efficiently and accurately achieved, and the requirements of rapid scheme adjustment and multi-round comparison and selection are met.