42 results about "System transformation" patented technology

This invention discloses a rapid generation method for rectangular disks suitable for structured meshes. This method simplifies crack propagation calculations of the disk into a parametric fracture mechanics model, enabling the calculation of stress intensity factor and crack propagation life. Specifically, finite element modeling is employed to extract the geometric boundaries of the disk and its partitions, considering the influence of geometric dimensions and boundary effects on crack propagation. Based on coordinate system transformation, using the crack initiation point and stress gradient direction as a reference, the rectangular plate can be accurately located, improving modeling efficiency. This invention simplifies the crack propagation plane into a finite-size rectangular plate. Based on boundary intersection point capture, it achieves high-fidelity equivalence between the rectangular plate model and the actual complex contour of the disk, reducing calculation errors in the boundary region using traditional methods. Furthermore, by extracting the crack-free stress distribution along the crack propagation direction on the rectangular plate, the stress intensity factor at the crack tip and crack propagation life can be calculated using the weighted function method.

This invention discloses a method, system, device, and storage medium for generating three-dimensional cutting trajectories, comprising the following processes: acquiring a CAD model of the finished product, extracting cutting trajectory lines, and generating a three-dimensional point cloud of the CAD model; scanning the workpiece to be cut to generate a three-dimensional point cloud of the workpiece; registering the three-dimensional point cloud of the CAD model and the three-dimensional point cloud of the workpiece to be cut, calculating the transformation matrix, and performing coordinate system transformation on the CAD model according to the transformation matrix; generating a set of cutting poses based on the cutting trajectory lines and the transformation matrix, performing translation and rotation adjustments, smoothing, sorting, deformation compensation, and robot kinematics checks on the set of cutting poses to generate a set of cutting trajectories containing multiple cutting trajectories; and generating a cutting program based on a recognizable syntax based on the set of cutting trajectories containing multiple cutting trajectories.

This invention discloses a bridge pot bearing and control system based on system conversion. A first bearing body and a second bearing body are stacked from top to bottom. The first bearing body has a first mounting plate, and an adjustment component is installed below the first mounting plate. The second bearing body has a second mounting plate, and a test component is installed on the second mounting plate. The test component connects with the adjustment component. While performing pressure testing, the test component, in conjunction with the adjustment component, enables the conversion between three states: fixed pot bearing, unidirectional movable pot bearing, and bidirectional movable pot bearing. This invention monitors the stress on the bearing in real time, calculates the bridge shear force based on the reaction force, and derives the bridge shear force amplification factor under dynamic loads, thus improving bridge design methods and making bridge design safer and more reliable. It can realize the functions of a fixed bearing, a unidirectional movable bearing, or a bidirectional movable bearing, and achieve mutual conversion between bearing types.

The application provides an adaptive UWB-SLAM loose coupling fusion method based on graph optimization, comprising: S1: a space-time synchronization module acquires a mobile robot pose estimation value output by a front-end SLAM system and original measurement data generated by communication between a UWB anchor and a UWB tag, unifies the time and coordinate system of the pose estimation value and the original measurement data to a world coordinate system, realizes time and coordinate system alignment, and obtains a coordinate system transformation matrix; S2: an online statistical quality evaluator module acquires UWB distance measurement values, signal strength indication values and precision estimation factors between a UWB tag and a plurality of UWB anchors deployed in an environment, obtains a comprehensive quality score, generates a dynamic information matrix based on the comprehensive quality score; S3: a factor graph optimization module weights UWB distance measurement values in the original measurement values by using the dynamic information matrix, and outputs a robot global path, a current real-time pose of a mobile robot and a UWB anchor coordinate.

This invention proposes a method and apparatus for processing surface clutter using lidar based on unmanned surface vessels (USVs). The method includes: acquiring point cloud data of the USV's surface environment using lidar; performing coordinate system transformation and point cloud correction on the acquired point cloud data; segmenting the corrected data into lidar point cloud clusters using grids; classifying the segmented lidar point cloud clusters by extracting multiple features; and performing real-time frame-by-frame matching and target tracking of USV surface targets using the extracted feature vectors and the positioning information of the point cloud clusters, calculating the target's motion elements, and using the continuity of the target and the randomness of the waves to remove clutter points and accurately track the target. This method can filter out outliers and clutter points caused by plankton, and simultaneously filter out wake waves and spray.

This application relates to the field of orbital dynamics design and simulation technology, and provides a method and apparatus for free transformation between spatial coordinate systems for solar system spacecraft design and simulation. This method transforms the position and velocity of different coordinate systems to the celestial coordinate system for origin transformation, and then rotates to the target coordinate system. This allows position and velocity to be arbitrarily transformed between coordinate systems included in the coordinate transformation model library. Furthermore, when expanding to a new coordinate system, only the transformation function between the new coordinate system and the co-centered celestial coordinate system is needed, without having to calculate the transformation functions between the new coordinate system and all other coordinate systems separately. This achieves effective organization of scattered coordinate system transformation relationships, facilitating the design and simulation of spacecraft missions and reducing the workload generated by transformations between multiple spatial coordinate systems.

The application discloses a method and device for extracting fundamental positive sequence components and negative sequence components. A preset value of collection times is set according to different power grid environments, three-phase electric signals at a current time are collected to perform coordinate system transformation, and a transformation result is stored; when the collection times are equal to the preset value, equations capable of obtaining the fundamental positive sequence components and the negative sequence components of the electric signals are listed according to the transformation result and are solved. Considering various power grid environments, the fundamental positive sequence components and the negative sequence components can be extracted for different regional power grid environments by changing the value of the collection times; the greater the preset value is, the smaller the influence of voltage imbalance and harmonics on the extraction result is, the stronger the anti-interference performance is, errors caused by adverse power grid environments on the extraction result can be reduced, and the fundamental positive sequence components and the negative sequence components can be accurately extracted.

The application discloses a positioning method and related equipment, and belongs to the technical field of augmented reality. The method comprises the following steps: acquiring space information of a non-scale augmented reality (AR) space corresponding to a target space and space information of a first scale AR space, and acquiring a first positioning image of the target space; determining first positioning pose information of the first positioning image in the non-scale AR space based on the first positioning image, point cloud information and first pose information; determining a first coordinate system transformation relationship based on the first positioning pose information, the first pose information and second pose information; and in the case that second positioning pose information of a target object in a second scale AR space is acquired, determining third positioning pose information of the target object in the first scale AR space based on the second positioning pose information and the first coordinate system transformation relationship. Through the above method, all users can share AR content of the same space.

This invention discloses an adaptive point cloud completion method based on rail geometric features, solving the problem that sparse rail point clouds during high-speed train operation lead to decreased rail point cloud segmentation accuracy, resulting in the inability to effectively identify potential foreign object intrusion risks. The method includes: constructing a rail geometric feature library; acquiring sparse point cloud data of the rail ahead of the train and performing coordinate system transformation; extracting rail geometric features and calculating feature vectors; matching the extracted geometric features with the rail geometric feature library to obtain the optimal matching rail model; generating geometric constraints; correcting curvature features and track superelevation features based on the optimal matching rail model; dynamically adjusting point cloud completion parameters according to train operating status parameters; and generating a completed point cloud based on the corrected point cloud in S3. The completed point cloud accurately determines the rail position to achieve boundary determination, thus providing a key geometric basis for foreign object intrusion identification and ensuring train operation safety.

To convert a polar coordinate value to an orthogonal coordinate value corresponding to a standard value or convert an orthogonal coordinate value to a polar coordinate value corresponding to a standard value, while correcting deviation of a coordinate value of a sound object.SOLUTION: An acoustic metadata coordinate system conversion apparatus 1 includes: a rectangular region specifying unit 11 which specifies a plurality of rectangular regions on a wall surface of a listening room, on the basis of a reference point of the listening room and a correspondence relation between a polar coordinate value and an orthogonal coordinate value in positions of speakers to be arranged; a line segment region specifying unit 12 which derives a Z-coordinate value z of a sound object, and corrects, when intersections of sides of rectangular regions and a horizontal plane in a height of the z are set as end points of the line segment regions and the z is not coincident with the Z-coordinate value in an intermediate layer, coordinate values of end points of line segment regions in consideration of misalignment in azimuth of a polar coordinate value corresponding to an orthogonal coordinate value; and a coordinate derivation unit 13 which searches for a line segment region that the sound object belongs to, and derives an orthogonal coordinate value of the sound object using the end points of the line segment regions.SELECTED DRAWING: Figure 1

This invention discloses a method and apparatus for modeling outdoor static environments based on point cloud bird's-eye view. The method includes: acquiring outdoor static environment point cloud data; performing point cloud coordinate system transformation based on the acquired outdoor static environment point cloud data to obtain a point cloud under the vertical visual perspective of the monitoring area; generating a point cloud bird's-eye view based on the point cloud under the vertical visual perspective of the monitoring area; labeling the regional attributes in the point cloud bird's-eye view to obtain semantic information in the monitoring environment; and generating an outdoor static area model based on the semantic information. This invention is simple and efficient, realizing the extraction of dense environmental information from discrete point cloud information, efficiently extracting dynamic objects, and transforming disordered point cloud data into ordered point cloud data, making it more effective in empowering upper-layer applications. It can be widely applied in the field of point cloud data processing technology.

This invention discloses a pedestrian inertial localization method based on a Kolmogorov-Arnold network. First, the raw data collected by the inertial measurement unit (IMU) of a smartphone is preprocessed. Sensor errors are eliminated through bias compensation, attitude calculation, and coordinate system transformation, and a unified inertial time series sample is constructed using a sliding time window. Second, a recurrent Kolmogorov-Arnold network unit is constructed, and a parameterized B-spline activation function is introduced into the recurrent structure to enhance the model's ability to express complex inertial time series nonlinear features. Third, a gated memory mechanism is introduced into the recurrent unit to achieve selective updating of time series information and long-term dependency modeling, thereby improving the model's stability in long-term walking scenarios. Subsequently, the high-dimensional features output by the network are mapped to two-dimensional instantaneous velocities, and the continuous motion trajectory of the pedestrian is reconstructed through numerical integration. Finally, the model is trained using supervised learning, and the performance of the localization results is evaluated using a trajectory error index. This invention can achieve high-precision pedestrian localization relying solely on smartphone inertial data, exhibiting good localization accuracy, robustness, and practical deployment capability.

This invention provides an artificial intelligence-based method for identifying gust front wind shear, comprising: performing noise filtering, missing value imputation, data smoothing, wind shear value calculation, and sample selection and extraction on collected radial velocity data to obtain gust front wind shear samples; based on the gust front wind shear samples, performing coordinate system transformation, sample set partitioning, and data annotation to obtain an expanded dataset; designing and training a Mask R-CNN model architecture to obtain a gust front wind shear identification model; and inputting the expanded dataset into the gust front wind shear identification model for gust front wind shear detection. This invention reduces the dependence on reflectivity factor data, focusing on building the identification model based on gust front radial velocity data, which can not only accurately identify gust front wind shear but also achieve pixel-level segmentation and localization of wind shear regions, improving identification efficiency.

This application belongs to the field of wind turbine positioning and discloses an automatic positioning method and device for wind turbine blades using a UAV based on multi-coordinate system transformation. The method includes: projecting the spatial tilted circular trajectory of the blade tip and constraining it with the UAV's shooting plane to solve for the three-dimensional spatial coordinates of the blade when rotated to any angle; constructing a local coordinate system perpendicular to the blade based on its orientation, combining the rotation angle and shooting distance to analyze the task planning and wind turbine attitude; transforming the reference origin from the hub center to the fixed tower base through three-dimensional translation to establish a static tower base coordinate system centered on the tower base; rotating the static tower base coordinate system around the vertical axis by a yaw angle, embedding the real-time orientation of the wind turbine into the coordinate system through rotation transformation; and performing chiral transformation and axial adjustment on the coordinates after the turbine head motion correction to output coordinate information in a standard coordinate system. This application improves positioning accuracy, automation and versatility, and unifies the coordinate framework.

1. The name of the design product: bypass cabinet. 2. The use of the design product: used for energy storage system transformation and on-off network. 3. The design points of the design product: in the shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1. 5. Other circumstances that need to be explained: A part of the enlarged view is the enlarged view of the area indicated by A part in perspective view 1, B part of the enlarged view is the enlarged view of the area indicated by B part in perspective view 1, C part of the enlarged view is the enlarged view of the area indicated by C part in perspective view 2.

The application provides a low-voltage power distribution cabinet secondary protection system intelligent transformation method, and relates to the technical field of electrical system transformation, which comprises the following steps: based on the target power distribution cabinet state evaluation result, a transformation technical scheme is formulated; power-off operation is performed, old parts are removed, new circuit breakers, intelligent protectors and anti-misoperation devices are installed, new wires are laid according to process standards to construct a secondary circuit system; according to the equipment type and working condition, the intelligent protectors and anti-misoperation devices are subjected to differentiated setting of protection parameters, and item-by-item function debugging is performed through simulation of various faults; insulation and grounding resistance tests are performed on the secondary circuit system, after confirming that the tests meet the standards, power-on load trial operation is performed, electrical parameters are monitored and recorded, the function of the intelligent monitoring device is verified, and comprehensive performance confirmation is completed based on the acceptance standard. The above method is comprehensive and accurate in protection function, realizes fault early warning and rapid and accurate positioning, and the reliability of the secondary circuit can realize quantitative and verified guarantee.

The present application relates to the technical field of computer printing, in particular to an intelligent printing enhancement system and method based on SNMP agent and printing instruction recoding. The intelligent printing enhancement system realizes printing logic enhancement in a non-intrusive architecture through the cooperative linkage of an SNMP agent module, an instruction interception module, an instruction analysis module, a business matching module, an instruction reconstruction module and an output module, does not need to modify the configuration of an upstream business system, seamlessly intercepts original printing data through IP address takeover and port binding, accurately generates enhancement instructions through multi-layer protocol deep analysis, preconfigured business rule matching and intelligent position identification technology, guarantees the integrity of the original printing format, flexibly adapts to personalized business needs, ensures the real-time performance of printing processing through efficient data transmission channels between modules, significantly improves the flexibility and adaptability of printing functions, reduces the risk of business system transformation and maintenance costs, and has good compatibility and scalability.

This invention discloses a precise design method for a gear tip chamfer hob, solving the problem of poor fit between the transition edge of a traditional hob and the gear tip arc. Based on the basic parameters of the gear (number of teeth z, normal module mn, helix angle β, etc.), the starting diameter and development angle of the tip arc chamfer are derived through geometric relationships to determine the coordinates of the arc's center point. The arc is then discretized into N points, and a gear-stationary-rack coordinate system transformation is completed by combining the gear rotation angle ϕ and rack displacement s to obtain the hob's transition edge contour coordinates. This method achieves a fit of ≥99% between the hob's transition edge and the gear tip arc, improving the stress dispersion effect at the tooth tip and the transmission smoothness. It is suitable for the precise design of hobs for helical gears, etc.

This invention relates to the field of satellite communication mission planning technology, and proposes a laser communication link planning method and system that integrates illumination constraints to avoid misjudgments and missed judgments caused by ground background light entering the acquisition camera. This invention simulates the movement position of the acquisition camera, then combines satellite orbit and attitude data, and determines the direction of the acquisition camera's central optical axis and the ground projection range of the camera's field of view through coordinate system transformation. Based on the Earth-Sun motion and illumination constraints, it determines whether the image is affected by illumination, thereby determining a reasonable link plan. It provides a scanning range planning mode to predict a reasonable scanning range for the satellite acquisition camera, and a scanning time period planning mode to predict a reasonable scanning time period for the satellite acquisition camera, offering flexible application options for laser communication link planning and promoting rapid and accurate ground-transmitted beam acquisition in lunar space and even deeper space.

This invention discloses a method and system for monitoring non-motorized vehicle driving behavior based on multi-source perception, belonging to the field of intelligent traffic monitoring technology. Key technical points include: obtaining preliminary perception data and a preliminary perception target set through spatiotemporal synchronous acquisition and independent processing using multi-sensor hardware; obtaining target fusion trajectories through coordinate system transformation and a dual-threshold association algorithm; obtaining structured behavioral events through parallel feature extraction, specific behavior judgment rules, and a lightweight classification model; obtaining evidence data packets through a pre-defined hierarchical response strategy and evidence encapsulation; and obtaining signal timing optimization suggestions through spatiotemporal density clustering and prediction optimization algorithms. Based on multi-sensor fusion perception, this invention achieves accurate identification and real-time intervention of non-motorized vehicle driving behavior through collaborative processing and intelligent decision-making of data acquisition, trajectory fusion, behavior recognition, and decision response, thereby improving the automation, refinement, and intelligence level of traffic management.

This application belongs to the interdisciplinary field of computer vision and earth science, and specifically discloses an improved modeling method for the UCAPs deep learning framework, including: acquiring raw borehole data, performing coordinate system transformation and rotation correction, dividing voxel meshes and interpolating to generate input tensors; extracting preliminary geometric features using 3D convolutional layers; converting scalar neurons into vector capsules through 3D convolution to encode the existence probability and spatial pose of geological entities; applying capsule convolution modules for clustering, introducing a multi-head self-attention mechanism in the bottleneck layer to establish voxel associations across the entire image, and using graph Laplacian sampling to preserve the topological skeleton of geological bodies; restoring resolution through upsampling and skip connections, and outputting the conditional probability distribution of geological categories; and iteratively updating network parameters based on this distribution using a joint objective function to achieve 3D geological attribute field reconstruction. This application can achieve high-precision, structurally consistent 3D reconstruction under constraints of sparse data and complex geological structures.

This invention provides a multimodal data annotation method and apparatus that combines frame-overlapping and single-frame annotation, applicable to the field of data processing technology. This application first acquires core source data such as 2D images, 3D / 4D point clouds, target object motion states, and dual coordinate systems. Relying on a real-time dual coordinate system transformation algorithm, combined with displacement thresholds, it identifies the dynamic and static attributes of the target object, generating a classification-adapted annotation base dataset. Then, it constructs multi-dimensional annotation association nodes according to dynamic and static classifications, generates a bidirectional mapping association graph through 2D-3D / 4D bidirectional projection, and obtains annotation space verification feature vectors by mining spatial consistency through a multi-coordinate system verification model. These feature vectors are then imported into an optimization engine, combining static cross-frame propagation, dynamic trajectory calibration, and manual correction mechanisms to construct a multimodal annotation base model. Finally, it integrates real-time motion data and deviation correction signals for dynamic annotation, balancing accuracy and efficiency, to generate multimodal annotation information combining frame-overlapping and single-frame annotations adapted to complex scenes.

The application discloses a template image coordinate transformation circuit and a target matching device, and belongs to the technical field of image matching and recognition. The circuit comprises an interface module, a reference coordinate system transformation module and an intermediate cache memory. The reference coordinate system transformation module comprises a matrix operation submodule and a linear accumulation submodule. The interface module is used for receiving an original template image. The matrix operation submodule is used for performing a rotating coordinate transformation on the original template image according to a rotation angle of a to-be-matched image, so as to obtain pixel coordinates of each pixel point. The linear accumulation submodule is used for performing a weighted accumulation on the gray values of the pixel coordinates adjacent to the reconstructed pixel coordinates, so as to obtain a reconstructed gray value of the reconstructed pixel coordinates and store the reconstructed gray value into the intermediate cache memory, and thus a rotated template image is obtained. The template image coordinate transformation circuit takes into account the speed and accuracy of template image transformation. The template image coordinate transformation circuit is used to generate a template image, which is beneficial to the deployment on an embedded system and the fast and accurate realization of target matching and recognition.

This invention discloses a method for mutual aiming and measurement of laser trackers in hidden areas, belonging to the field of large-space precision measurement technology. The invention deploys a reference tracker in the visible area and the tracker under test in the hidden area. The tracker under test drives a target sphere to perform spherical motion, while the reference tracker collects data from spherical sampling points. A robust Taubin sphere center fitting algorithm is used to fit the rotation center coordinates of the tracker under test, completing self-calibration. Finally, coordinate system transformation achieves measurement and coordinate unification in the hidden area. The robust Taubin sphere center fitting algorithm of this invention introduces robust estimation concepts, effectively suppressing the influence of abnormal data on the fitting results through weighted iterative optimization of the objective function. This invention completely solves the technical problems of not being able to deploy a common visible point and achieve coordinate system unification in hidden / narrow areas, significantly improving the accuracy and robustness of sphere center fitting, and meeting the collimation requirements of high-end devices such as particle accelerators.

This application discloses a lightweight real-time geolocation method and system for meteorological satellites. The method includes acquiring onboard remote sensing data and orbital and attitude auxiliary data, unifying the time of the auxiliary data, and constructing a unified line-of-sight vector across payloads; performing a lightweight coordinate system transformation, sequentially transforming the instrument coordinate system to the satellite body coordinate system, orbital coordinate system, J2000 inertial coordinate system, and WGS84 geodetic coordinate system to obtain initial geographic coordinates; performing lightweight DEM iterative elevation correction to obtain corrected geographic coordinates; dividing the image corresponding to the onboard remote sensing data into multiple non-overlapping sub-blocks, and using a CPU / GPU collaborative heterogeneous parallel architecture to perform rigorous imaging model calculations on the corner pixels of each sub-block; based on the corrected geographic coordinates of the corner pixels of the sub-blocks, performing geographic coordinate interpolation on the pixels within the sub-blocks and outputting the geographic positioning result of the image, thereby achieving high-precision, low-latency, and highly stable onboard real-time geolocation of multi-sensor, wide-swath meteorological satellite data.

This invention discloses a high-precision integrated positioning method for polar unmanned surface vessels (USVs) that fuses BeiDou and inertial navigation, belonging to the field of integrated navigation and positioning technology for USVs. The method includes: acquiring and parsing BeiDou positioning status data of the polar USV; collecting inertial sensor measurement signals and constructing inertial navigation status estimation data; processing the above data in conjunction with polar high-latitude spatial coordinate system transformation rules to generate polar grid navigation spatial comparison data; processing the comparison data based on a multi-source data fusion algorithm to calculate fused position and attitude data; and generating an integrated positioning result based on the fused position and attitude data. This invention employs polar grid spatial projection and adaptive multi-source fusion processing with signal anti-interference capabilities, which can overcome the singularity of polar high-latitude coordinates and effectively shield against signal attenuation interference in complex environments.

This invention discloses a seismic isolation and damping system and design method for high-speed railway track-bridge seismic coordination. The system comprises a functionally separated seismic isolation and damping system including sliding bearings, limiting components, and self-resetting energy dissipation devices. The design method establishes graded performance objectives based on frequent earthquakes, design earthquakes, and rare earthquakes, forming graded solution constraints for bearing friction parameters, limiting trigger parameters, self-resetting parameters, and energy dissipation parameters. Through an "input-solution-verification-iteration" process, it determines the target parameter combination that satisfies pier elastic control, system transformation control, post-earthquake beam end residual deformation control, and track smoothness control. This invention achieves coordinated design of both structural safety and traffic safety objectives for high-speed railway track-bridge systems. By decoupling the bridge's load-bearing function from its energy dissipation function, it reduces the coupling degree between different functional components, improving the replaceability of damaged components after an earthquake and the overall repairability of the system.

This invention proposes an electronic anchor control method based on dual-loop active disturbance rejection control. The method includes: deploying a sensor group on the top-flow turbine, the sensor group including a GNSS receiver, a geomagnetic sensor, and an inertial sensor; collecting sensor data from the top-flow turbine; performing coordinate system transformation and alignment on the sensor data to construct a system observation vector for state estimation; establishing a hybrid state-space model; obtaining the actual control thrust of the previous control cycle as a known input; processing the system observation vector using an extended Kalman filter algorithm; performing recursive state estimation on the hybrid state-space model; separating the high-frequency motion state; and outputting the low-frequency position and low-frequency velocity of the top-flow turbine at the current moment; using the current low-frequency position and low-frequency velocity as input to the dual-loop control architecture. This method improves the ship's attitude and position stability and enables real-time compensation for disturbances such as wind, waves, and currents.

A three-dimensional weld weaving trajectory generation method and apparatus, an electronic device, and a storage medium. The method comprises: discretizing a weld seam path point sequence of a workpiece to obtain a plurality of target point coordinates of a robotic arm TCP in a world coordinate system, and transforming the plurality of target point coordinates into a robot tool coordinate system; on the basis of a welding travel speed direction and normal between every two adjacent target points in the robot tool coordinate system, determining a coordinate system transformation relationship associated with a starting point among the every two adjacent target points; and generating a three-dimensional weld weaving trajectory on the basis of a welding travel speed between the two target points in the robot tool coordinate system, the coordinate system transformation relationship, and a weld weaving speed between every two adjacent target points in a weld bead coordinate system.

This application discloses an angle detection method, apparatus, device, and storage medium based on a triaxial linear Hall sensor, relating to the field of angle measurement technology. The method includes: acquiring spatial magnetic field component information of the triaxial linear Hall sensor in multiple orthogonal directions; calculating the angles corresponding to the vector components of the spatial magnetic field component information in at least two directions from the sensor coordinate system to the target coordinate system using an arctangent function to determine the current angle of the magnet; and compensating for the current angle of the magnet based on the spatial magnetic field component information to obtain an anti-disturbance detection angle. This application uses a triaxial linear Hall sensor to acquire spatial magnetic field vector information, combines coordinate system transformation, uses an arctangent function for vector calculation, and performs real-time dynamic error compensation to output an anti-disturbance accurate angle. This achieves stable and reliable high-precision angle detection under strong interference and high dynamic conditions, significantly improving measurement accuracy in complex industrial environments.