17 results about "Vector projection" patented technology

This invention discloses a smart construction site management method and system based on the Internet of Things (IoT), relating to the field of smart construction site environmental control technology. The method includes performing vector projection on the point cloud of the material storage area's surface to obtain the tangential wind speed components of the surface points, calculating the voxel center elevation difference of the three-dimensional point cloud, screening wind erosion active areas, uniformly dividing the wind erosion active areas into sub-zones, calculating the horizontal drift distance, predicting the landing center coordinates, and generating a predicted landing circle; calculating the fog cannon coverage circle, determining the spatial intersection of the predicted landing circle and the fog cannon coverage circle, calculating the fog cannon activation time in the control area, and sending the activation time to the fog cannon for execution. This invention improves the dynamic simulation capability of dust particle falling behavior by combining particle size distribution quantification with a settling velocity estimation model, and improves the accuracy of dust fall range prediction by calculating the horizontal drift of dust particles combined with a landing circle prediction model.

This invention provides a method, system, and device for controlling a character on a sphere's surface. A coordinate system dynamic correction module calculates the direction from the sphere's center to the character's current position in real time to determine a local ascent vector. Based on this local ascent vector, the character's rotational posture is corrected so that the character's feet always face the sphere's center, and a local coordinate system is constructed using the local ascent vector. A vector projection module acquires the camera's direction vector and performs orthogonal projection processing on it using the local coordinate system to generate a tangential movement vector parallel to the tangential plane of the ground surface. This tangential movement vector is then used to drive the character to perform displacement operations. A terrain adsorption module responds to the displacement operations by emitting a probe ray based on the local ascent vector direction determined by the local coordinate system to perform sampling processing on the ground grid, acquiring the intersection point between the probe ray and the ground grid, determining the character's target height based on the intersection point, and correcting the character's position using the target height so that the character adheres to the ground grid in real time during movement.

This application discloses a method for calibrating the optical axis pointing of a high-speed camera based on linear vector projection slope matching. The method simulates the projection of a calibration plate's linear vector onto the image plane and matches it with the actual extracted linear slope to directly calculate the azimuth and elevation angles of the optical axis pointing. First, a calibration plate with at least two non-parallel linear vectors distributed on its surface is fabricated, and a coordinate system is established using the calibration plate as a reference. Then, the calibration plate is photographed, and the image plane slope of the selected linear vector is extracted. The selected linear vector is simulated and projected onto the image plane to obtain a two-dimensional projection vector containing the azimuth angle A and the elevation angle E. Finally, the optical axis pointing parameters of the high-speed camera are calculated by matching the simulated projection slope with the actual extracted slope. This application also provides a method for verifying the correctness of the calibration results. This method decouples pose parameters, simplifies calibration plate fabrication and data processing, and provides accurate external parameter support for high-precision spatial attitude testing of high-speed recording equipment.

The articulation angle is an important characteristic to quantify for open loop control and / or closed loop control of a medical instrument comprising an elongated body. The articulation angle may be computed using various techniques including using inverse trigonometric functions on vector representations of elongated body poses. The technique may involve projecting the vectors onto a measurement plane having a normal vector. The technique enable differentiation between positive and negative articulation directions. Additionally, the technique can enable the articulation angle to be computed even for high articulation angles, e.g., more than 180 degrees. The so computed articulation may be used for open loop or closed loop control of the elongated body.

A method of calibrating a camera system comprises defining a first, a second, and a third linearly adjacent medium, wherein each medium has a different refractive index from the other mediums. A plurality of virtual planar patterns arranged in different positions or orientations relative to and in front of the virtual representation of the at least one camera lens are generated in the third medium, and a plurality of points on each of the virtual planar patterns are identified. A plurality of vector projections are generated using the refractive index of each of the first, second, and third mediums and a set of physical calibration parameters associated with the camera system-correspond to a best-fit refracted path between one of the at least one camera lens and a corresponding one of the identified plurality of points. A calibration of the camera system is executed using the generated plurality of vector projections.

A method for detecting leakage in water supply networks based on spatiotemporal multi-dimensional fusion sensing is proposed. For the water supply network to be detected, it is divided into N independent metering areas. An IoT flow meter is used to acquire and record the flow rate of each area in real time within a set time period. T is set as the number of reference detection periods, and the flow rate information clusters of all independent metering areas at the current time t are recorded. The flow rate change vector of independent metering area n in the current time period is calculated. Similarly, the flow rate change vectors of the K independent metering areas adjacent to area n are calculated as D. n The reference vector is used to calculate D. n Vector projection onto the reference vector; calculation of the flow change vector D for the current time period in the independent metering area n. n The invention compares the overall similarity of reference vectors; for independent metering areas n in time period t, the overall similarity of regional flow indicates that the water use in the area is normal, while a negative similarity indicates that leakage has occurred. This invention enables leakage detection in water supply networks.

This application provides a method and system for detecting antibiotic pollution in water bodies based on spectral characteristics, belonging to the field of water environment monitoring and analysis technology. First, this application simultaneously acquires the surface-enhanced Raman spectrum and redox potential time-series data of the water sample to be tested. Next, the ratio of the characteristic peak intensities of the target antibiotic is extracted from the spectrum to generate a first feature set. Simultaneously, wavelet packet decomposition is performed on the potential data, and energy entropy is calculated to construct a second feature set. Subsequently, the two feature sets are concatenated, and a mutual information maximization algorithm is used to filter out the target feature subset highly correlated with concentration. Finally, using a support vector projection regression model trained based on a structural risk minimization mechanism, and through kernel function mapping and hyperplane projection operations, the accurate detection of the target antibiotic concentration in the water sample is achieved. This application improves the anti-interference capability and quantitative accuracy of antibiotic detection in complex water body backgrounds.

This invention discloses an in-machine measurement and error compensation system and method for a five-axis form grinding machine, belonging to the field of CNC machining and precision measurement technology. The system includes a five-axis form grinding machine, a rotary table, a contact probe, a data acquisition and processing module, and a CNC controller, integrated into a hardware system for closed-loop control. The corresponding method includes: first, calibrating the probe's pre-stroke error by comparing in-machine and offline measurement data; then, after machining, controlling the probe to perform in-machine measurement along the surface normal, accurately calculating the normal deviation through vector projection; next, correcting the data using calibration parameters, and generating complete surface deviation compensation data through coarse and fine registration and surface comparison analysis; finally, driving the machine tool to perform iterative compensation machining until the accuracy meets the standard. This invention achieves one-time high-precision forming and inspection of complex curved surface workpieces on a machining tool, significantly improving the machining efficiency and consistency of parts such as aero-engine blades.

The application discloses an aviation part round hole and end face cooperative detection method, device, equipment and medium, and relates to the aviation part detection field.The method comprises the following steps: performing outlier elimination on the surface three-dimensional point cloud data of the target aviation part by using the 3σ criterion, and obtaining a round hole effective point set and an end face effective point set; based on a double-thread parallel computing architecture, a first thread is used to perform iterative optimization on the round hole effective point set based on the linear least square method and the 3σ criterion, a round hole fitting result is obtained, a second thread is used to extract an end face plane normal vector based on the end face effective point set and the minimum eigenvalue method of the covariance matrix, and an end face fitting result is obtained; based on the fitting result, a normal error component in a three-dimensional round center vector is eliminated by using a vector projection method, so that the projection round center distance and the eccentricity of the nested round hole in the end face plane are calculated, and the concentricity of the nested round hole is evaluated.The application can realize the aviation part round hole and end face cooperative detection in a non-damage, accurate and efficient manner.

This invention relates to the field of medical image processing and discloses a method and application for high-risk / low-risk classification of MVI-positive hepatocellular carcinoma. The method includes: acquiring and registering three-dimensional enhanced CT image sequences to generate a tumor target area and a background liver parenchyma mask; calculating the temporal gradient to construct a two-dimensional temporal perfusion vector and extracting a subset of target blood supply for screening; determining a baseline vector based on the background liver parenchyma, projecting the screened vector to obtain orthogonal components and generating an intensity scalar field; combining the tumor boundary normal vector field with the spatial gradient for weighted summation to generate a target feature field; extracting image features from the target feature field and concatenating clinical variables, inputting the data into a classifier model to output high-risk / low-risk classification results. By screening active blood supply areas to eliminate interference from necrotic tissue, using baseline vector projection to eliminate measurement bias caused by individual circulatory differences, and combining spatial gradients to quantify the diffusion direction of abnormal blood supply, the accuracy of the model's high-risk / low-risk classification prediction is improved.

The application relates to an anti-mainlobe interference adaptive monopulse angle measurement method for a uniform linear array, which comprises the following steps: obtaining array echo data and calculating a covariance matrix; estimating the number of signal sources and the mainlobe interference angle by using the covariance matrix; constructing a mainlobe interference blocking matrix by using the mainlobe interference angle, and preprocessing the array echo data to obtain preprocessed array data; projecting a corresponding static steering vector of a beam direction to a signal subspace to obtain a sum beam projection vector; performing Wiener filtering on the preprocessed array data by using the sum beam projection vector to solve sum beam adaptive weights; calculating a difference beam projection vector by using the sum beam projection vector, and solving difference beam adaptive weights by using the difference beam projection vector; and calculating a target deflection angle by using the sum beam adaptive weights and the difference beam adaptive weights and adopting an amplitude comparison monopulse method. The method has the advantages of high anti-mainlobe interference capability and high angle measurement precision of a target near the mainlobe interference.

Provided is a method of building a vector database (DB) on a server providing a vector DB system including setting a hyperplane for projecting a cluster of vector data, generating a projection tree of the cluster, and building the vector DB by using the projection tree as an index. According to the method, a vector cluster is projected onto a hyperplane passing through its center point, thereby improving projection balance.

The application discloses a kind of satellite orbit batch computation method and system based on tensor acceleration, it is related to aerospace and high-performance computing field, including: the satellite orbit root number parameter of each satellite is converted into intermediate tensor set with batch dimension;According to intermediate tensor set, tensor coefficient and preset time stamp sequence, based on the broadcast mechanism of tensor, the time evolution of orbit state is executed under the earth inertial system, and orbit state variable is obtained, and the geographical parameters of each satellite under the earth-fixed coordinate system are calculated simultaneously;Orbit state variable is converted to earth-fixed coordinate system;According to the orbit state variable under the earth-fixed coordinate system, the geographical parameters of each satellite and the position tensor of ground station, based on the tensor trigonometric function and vector projection operation, the observation parameters of satellite relative to ground station are calculated.The application realizes the high-precision, high-throughput, low-delay batch computation of large-scale satellite in long time sequence.

This invention relates to the field of meteorological data acquisition technology, specifically to a meteorological data acquisition method and system based on multiple temperature sensors. The method includes the following steps: acquiring spatially discrete temperature data, calculating local thermal gradient vectors and constructing an anisotropic weight matrix, using this matrix to weight and correct polynomial surface fitting error terms, solving a system of linear equations including heat flow constraints, calculating virtual point data, and completing a high-fidelity digital reconstruction of the global meteorological temperature field. In this invention, the local thermal gradient modulus is obtained by calculating the Euclidean distance and temperature difference ratio between nodes. The physical heat flow direction is mapped to a vector projection in a three-dimensional coordinate system. An anisotropic weight matrix reflecting the strength trend of heat transfer is constructed, and the polynomial surface fitting error terms are weighted and corrected. Under limited sampling point conditions, the continuous temperature distribution pattern in the anisotropic flow field is accurately restored, achieving a high-fidelity digital reconstruction of the meteorological temperature field.

This invention relates to the field of AR teaching technology and discloses an AR teaching interaction method and system based on hand skeleton tracking. The method receives teaching task context labels and calls a subject weight map. By comparing the tracking weight coefficients and calculating weight thresholds, it dynamically skips the convolution operation of image feature branches of non-core joints. It acquires hand image data to regress the initial three-dimensional spatial coordinates of the joints, determines spatial interference based on implicit surface functions, and uses surface normal vector projection and inverse kinematics algorithms to physically correct the clipping of the knuckle chain. It extracts the corrected coordinates to generate gesture feature vectors, calculates their Euclidean distance and cosine similarity with standard features, and outputs gravitational field visual offset and nonlinear vibration tactile feedback. When conditions are met, it triggers teaching instructions and uses an exponential moving average algorithm to adaptively update the judgment parameters based on historical successful interaction data. This invention effectively reduces computational power consumption, eliminates spatial clipping errors, and improves the personalized fault tolerance of the interaction system.

This application discloses a PMSM harmonic suppression method and system based on union vector projection reconstruction, relating to the field of harmonic current suppression technology. The method includes: acquiring the multi-phase stator current of the target motor and performing harmonic separation based on coordinate transformation to obtain the harmonic current vector corresponding to each target subharmonic; constructing a union reference axis and projecting the harmonic current vector onto the union reference axis to obtain the active current component and reactive current component, which are then input into the corresponding proportional resonant controller to obtain the active compensation voltage component and reactive compensation voltage component; generating a harmonic compensation voltage vector and superimposing it with the fundamental control voltage vector to obtain a synthetic voltage reference vector; and performing harmonic suppression of the target motor based on the synthetic voltage reference vector. This method solves the technical problems of high computational resource consumption and coupling interference between harmonic components in existing multi-target subharmonic independent control, leading to a decrease in suppression accuracy.