22 results about "Rotation model" patented technology

The invention discloses a production line process parameter automatic optimization method based on a digital twinning technology, and relates to the technical field of production line process parameter optimization, and the method comprises the steps: obtaining a production line rotation model based on digital twinning; acquiring transmission correlation parameters based on the production line rotation model; carrying out primary optimization and optimization simulation; acquiring primary optimization equipment and transportation optimization characteristics, and establishing an automatic optimization method for optimization; according to an existing production line process parameter optimization method, when the transmission efficiency is reduced due to repeated use or aging of a transmission device in a production line, the parameters of the transmission device cannot be effectively adjusted in real time only through large model training or existing data; and the optimal transmission efficiency cannot be kept in real time in the goods transmission of a production line process.

The invention provides a transformer dynamic thermal field prediction and active cooling control method based on digital twinning, and relates to the technical field of intelligent control of power equipment. Comprising the following steps: extracting key parameters of a to-be-tested transformer, and simplifying a three-dimensional coil structure into a two-dimensional axisymmetric rotation model according to the key parameters; setting calculated excitation, boundary conditions and calculation frequency for the two-dimensional axisymmetric rotation model so as to carry out magnetic field calculation to obtain a corresponding ohmic loss value; fitting the corresponding ohmic loss values into a temperature-related function to obtain a loss temperature function; determining a training set for constructing a digital twinborn model according to the loss temperature function and the input parameters; constructing a digital twinborn model according to the training set; and carrying out transformer temperature prediction and regulation and control by using the digital twin model. The problems that in the prior art, a traditional temperature measurement means has hysteresis in recognition of hidden hot spots, and advanced suppression of thermal risks cannot be achieved are solved.

The invention discloses a ship channel modeling method for a marine unmanned aerial vehicle, and relates to the field of wireless channel modeling, and the method comprises the steps: obtaining the position information of an unmanned aerial vehicle and the position information of a ship; according to the position information of the unmanned aerial vehicle and the position information of the ship, constructing a three-dimensional model of the marine unmanned aerial vehicle to the ship channel; according to the three-dimensional coordinate system and the position relation, based on a sea surface fluctuation model and an unmanned aerial vehicle rotation model, coordinates of a receiving antenna and coordinates of a transmitting antenna are determined respectively; according to the three-dimensional coordinate system, the position relation, the propagation path, the coordinates of the receiving antenna and the coordinates of the transmitting antenna, determining the impulse response of the marine unmanned aerial vehicle to the ship channel; determining a space-time-frequency correlation function of the marine unmanned aerial vehicle to the ship channel; further carrying out modeling on the ship channel; according to the method, the non-stationary statistical characteristics of the marine unmanned aerial vehicle to the ship channel can be accurately described, and a theoretical basis is provided for design and performance optimization of an unmanned aerial vehicle auxiliary communication system in a complex marine environment.

The invention discloses a multi-source data fusion dynamic reference frame conversion method and a related device, and relates to the technical field of celestial body survey and space navigation, and the method comprises the steps: obtaining multi-source observation data, including pulsar timing data and VLBI absolute position measurement data; according to the multi-source observation data, a joint observation model and a high-order rotation model are established, the joint observation model is a mathematical model comprising a calendar error correction term and a coupling coefficient, and the high-order rotation model is a model which is established based on a quaternion parameterized rotation matrix and introduces a secondary correction term for nonlinear correction; on the basis of the combined observation model, a self-adaptive weighted least square algorithm is adopted, and rotation parameters are obtained through estimation; and based on the rotation parameter and the secondary correction term, performing error tracing and iterative optimization by adopting a Monte Carlo simulation method to obtain a dynamic reference framework conversion result. According to the invention, the conversion precision of the dynamic reference frame can be improved, and high-precision space reference conversion is realized.

The invention provides a method and a device for evaluating a credible result of a graph neural network. The method comprises the following steps: constructing an objective function based on a space-time relationship; obtaining an identification result obtained by identifying the skeleton behavior by the to-be-evaluated space-time diagram neural network, and constructing an augmented Lagrange function corresponding to the target function; iteratively calculating a node feature mask matrix and a human skeleton motion rotation model; and taking the node feature mask matrix and the human skeleton motion rotation model as an evaluation result of a prediction result of the space-time diagram neural network. According to the method, the to-be-evaluated space-time diagram neural network is explained and evaluated based on the human skeleton motion rotation model and the node feature mask corresponding to the human body. The interpretation result obtained by the method has high sparsity, and the geometric consistency of the space-time structure is consistent with that of the space-time diagram input into the space-time diagram neural network to be evaluated; the decision result of the space-time diagram network can be quantitatively and visually explained.

The application discloses a wave plate cascade disturbance device and method based on outer rotation and inner rotation forms, and the device comprises an optical transmitter, a disturbance module and a calculation module. The method comprises the following steps: acquiring polarized light with a fixed polarization state; determining a transmission matrix of an outer rotation model and a transmission matrix of an inner rotation model given a disturbance speed and a white noise distribution; performing decomposition conversion processing on the transmission matrix of the outer rotation model and the transmission matrix of the inner rotation model to obtain three-level electrical signals; and performing polarization state adjustment processing on the polarized light with the fixed polarization state according to the three-level electrical signals to obtain adjusted polarized light. The application can independently control the disturbance speed and the polarization probability distribution, improve the controllability of the disturbance model, and realize high-speed polarization disturbance with strong adjustability. The application can be widely applied to the technical field of polarized light disturbance.

The invention provides an interest point sequence recommendation system and recommendation method based on a hyperbolic space rotation model, and belongs to the technical field of user interest recommending.The method comprises the steps that firstly, an interest point data set is obtained, and a space-time knowledge graph is constructed; weighted transfer graph learning based on the hyperbolic space rotation model and interest point sequence recommendation based on the hyperbolic space rotation model are carried out in sequence; and finally, outputting a recommendation result, judging whether convergence occurs, if not, executing the step 3 again, and if convergence occurs, completing recommendation of the interest points. According to the method, the hyperbolic space is used for modeling the user movement behavior sequence, the hierarchical structure hidden in the relation network can be efficiently described, and compared with the prior art, the method has a good effect in the specific fields of text processing, images, knowledge maps and the like.

The invention relates to a coordinate transformation cooperative detection method and system based on a double-radar multi-dimensional rotation model, and the method comprises the steps: constructing a vehicle-mounted double-radar multi-dimensional rotary table model which is provided with a large rotary table, a large radar, a small radar and a lifting platform; defining a rectangular coordinate system of the vehicle-mounted dual-radar multi-dimensional turntable model based on a right-hand rule; polar coordinates of a detection target on a polar coordinate system of the small radar are converted into polar coordinates on a polar coordinate system of the large radar through a defined rectangular coordinate system of the vehicle-mounted double-radar multi-dimensional turntable model; the polar coordinates of the detection target on the polar coordinate system of the large radar are inversely converted into polar coordinates on the polar coordinate system of the small radar through the defined rectangular coordinate system of the vehicle-mounted double-radar multi-dimensional turntable model. According to the invention, synchronous rotation and bidirectional coordinate conversion can be realized, dead-angle-free detection is realized, the target positioning and tracking precision is improved, and the vehicle-mounted radar complex scene adaptability and reliability are enhanced.

The application discloses a production line process parameter automatic optimization method based on digital twin technology and relates to the technical field of production line process parameter optimization.The method comprises the following steps: obtaining a production line rotation model based on digital twin; obtaining transmission correlation parameters based on the production line rotation model; performing initial optimization and optimization simulation; obtaining initial optimization equipment and transmission optimization features, and establishing an automatic optimization method for optimization; and the method is used for solving the problem that in the existing production line process parameter optimization method, when the transmission efficiency of the conveying device in the production line decreases due to multiple uses or aging, the parameters of the conveying device cannot be effectively adjusted in real time through only large model training or existing data, and the optimal transmission efficiency cannot be maintained in real time in the goods transmission of the production line process.

The utility model relates to the technical field of model display, in particular to a model display device for space planning, which comprises a shell, an annular plate is rotatably connected in the shell, cross rods are rotatably connected to the inner walls of the two sides of the annular plate, the end parts of the two cross rods are jointly and fixedly connected with a circular plate, a movable plate is slidably connected in the upper end of the circular plate, and the movable plate is fixedly connected with the shell. The upper end of the movable plate is fixedly connected with two rod bodies; a plurality of hole grooves are formed in the lower end of the column body, and a bearing plate is fixedly connected to the upper end of the column body. The model is driven by the motor to rotate, so that an observer can automatically rotate the model and completely check details on each side of the model through the device without moving the position, and the complexity of traditional manual adjustment or bypass observation is avoided; a central area observation blind area caused by model height or structure shielding during traditional horizontal display can be eliminated, and it is ensured that details of a planning core area are completely presented.

The invention provides a multi-dimensional deformation monitoring method and system for a blade of a wind driven generator, and relates to the technical field of monitoring of the blade of the wind driven generator. A time-aligned distance data set is generated through high-precision timestamp calibration and synchronous processing, the deformation quantity of each section is accurately calculated in combination with tower drum design parameters, and a dynamic deformation model under a unified three-dimensional coordinate system is constructed through space coordinate conversion based on a blade rotation model. And finally, blade health state evaluation and risk early warning are output through intelligent analysis, so that high-precision, all-weather and blind-area-free real-time monitoring of full-dimensional deformation of the blade is realized, the defect of poor environmental adaptability of a traditional method is effectively overcome, and the accuracy of blade health state evaluation and the timeliness of tower sweeping risk early warning are remarkably improved.

Embodiments described herein relate to a system, methods, and non-transitory computer-readable mediums that accurately align subsequent patterned layers in a photoresist utilizing a deep learning model and utilizing device patterns to replace alignment marks in lithography processes. The deep learning model is trained to recognize unique device patterns called alignment patterns in the FOV of the camera. Cameras in the lithography system capture images of the alignment patterns. The deep learning model finds the alignment patterns in the field of view of the cameras. An ideal image generated from a design file is matched with the camera with respect to the center of the field of view of the camera. A shift model and a rotation model are output from the deep learning model to create an alignment model. The alignment model is applied to the currently printing layer.

The application relates to the technical field of conveyors, and discloses a three-dimensional detection method and system for surface damage of a drum of a belt conveyor. A laser light source sensor is used to collect a laser deformation image sequence of the drum surface in a non-contact manner. The light bar center of the laser deformation image sequence is extracted. The three-dimensional point cloud of the drum surface is reconstructed and spliced based on the light bar center. The reconstructed three-dimensional point cloud is processed to realize damage identification and quantification. The damage identification result and the quantification parameter are transmitted to a monitoring end. A high-precision laser light source sensor installed at a fixed point is used to carry out non-contact optical measurement. In combination with a multi-stage light bar center extraction technology of fusing a dynamic threshold and morphological processing, a point cloud splicing technology based on a drum rotation model and a feature matching ICP algorithm, and a damage identification quantification technology based on a depth image and a U-Net deep learning semantic segmentation, the three-dimensional morphology of the drum surface is accurately reconstructed, and multiple types of defects such as wear, cracks and depressions are automatically identified.

The application discloses a fin effect clamp jaw force-deformation theoretical modeling method based on a co-rotation model, decomposes a fin effect clamp jaw structure into a plurality of beam units, decouples local deformation and rigid body motion of each beam unit through co-rotation theoretical modeling, respectively establishes an axial deformation model and a rotational deformation model, and introduces an effective length correction coefficient to consider the influence of physical hinge connection; a tangent stiffness matrix of the beam unit is constructed and assembled into a global tangent stiffness matrix; a Newton-Raphson iteration method is used to realize force balance solving of a load increment step, and a global force-displacement relationship is constructed; and through adjustment of a global node force vector, various planar load scenarios such as single-point, multi-point and distributed load are adapted. The application breaks through the limitation of small deformation assumption, accurately represents large deformation behavior, improves the calculation efficiency by hundreds of times compared with finite elements, controls the average error within 6%, can quantize the influence of structural parameters such as connection type, beam quantity, beam inclination angle and top angle, and provides a theoretical basis for fin effect clamp jaw engineering design.

The application provides a method for generating identifiable face images from face side images. The method comprises: extracting face key points from face left and right side images, establishing a corresponding three-dimensional rotation model according to the change process of face rotation paths and camera imaging rules; establishing a corresponding relationship between the actually extracted left and right face key points and the face key points in the imaging plane derived from the three-dimensional rotation model, and converting it into an optimization problem, and solving the optimization problem to obtain unknown parameters in the three-dimensional rotation model; based on the three-dimensional rotation model and the solved parameters, the face key point positions at any angle in the rotation path can be obtained, and the identifiable face images can be generated according to the intermediate state face key point coordinates. The application directly represents the rotation path of the face key points in the two-dimensional image through a mathematical model and an optimization problem, and more quickly calculates the face key point positions in the images obtained by shooting at any viewing angle.

The present invention relates to the field of unmanned aerial vehicle technology, and more specifically to a method and system for designing a gearwheel structure for docking and separating a drone and an unmanned vehicle. The method comprises: establishing a gearwheel structure model comprising a shape model, a gearwheel rotation model, and a docking and separation time model; determining model parameters, including known parameters and parameters to be optimized; initializing the known parameters; determining an optimization objective and optimization constraints for the gearwheel structure model; solving the parameters to be optimized using a sequential quadratic programming method based on the gearwheel structure model, the optimization objective, and the optimization constraints; performing repeated optimization based on whether the parameters to be optimized meet the optimization requirements, and determining the shape of a guide track based on the final parameters to be optimized. The present invention can improve the motor utilization efficiency and service life of the gearwheel structure.

The present invention provides an inertial positioning method based on near-zero speed observation in a running state. An inertial sensor is fixed to the heel, and a rotation model of an "L"-shaped rigid body fixedly connected to the lower limb is introduced. Based on the decay characteristic of the pitch angular velocity, a peak detection method is used to determine the optimal near-zero point and near-zero interval of the speed, which can accurately and effectively detect the speed correction point of the pedestrian inertial navigation system in the running state. Then, the small speed at this time is estimated within the near-zero interval, and the small speed at the position where the sensor is located at this time is used as the observation quantity for Kalman filtering, which can effectively suppress the divergence of the system error in the running state and improve the inertial positioning accuracy.

The application discloses a method for predicting the flow velocity of a silicon melt in a Czochralski silicon single crystal growth process, which comprises the following steps: firstly, a two-dimensional axisymmetric rotation model of the silicon melt in the Czochralski silicon single crystal growth process is established, and the boundary conditions of the fluid model are set; then, a space factor physical information neural network is constructed; finally, the two-dimensional axisymmetric rotation model of the silicon melt in the Czochralski silicon single crystal growth process is solved by using the space factor physical information neural network, and finally the prediction result of the flow velocity of the silicon melt is obtained. The application solves the problem that the flow velocity of the silicon melt in the Czochralski silicon single crystal growth process cannot be predicted in real time in the prior art.

The invention discloses an equipment operation rotation scheme decision-making method considering a multivariate mutual exclusion intention, and belongs to the field of prediction, evaluation processing and decision-making, and the method comprises the steps: setting a decision variable and a constraint condition according to a hypothesis condition and a task parameter, designing a target function by maximizing the quality score of a rotation scheme, constructing an operation rotation model, and carrying out the iterative solution, calculating a quality score for the feasible solution of each iteration based on a two-stage evidence reasoning method; an optimal operation rotation scheme is searched by using an intelligent optimization algorithm in an iteration process; wherein in the first stage, the current performance state of equipment in the rotation scheme is evaluated by adopting an ER algorithm, the future performance trend of the equipment in a task period is predicted, and the risk coefficient of the rotation scheme is calculated accordingly; in the second stage, the economic cost and the management cost of the rotation scheme are calculated and integrated with the risk coefficient through an ER algorithm, and the quality score of the rotation scheme is obtained. According to the invention, quality evaluation is carried out on the rotation scheme by considering the multivariate mutual exclusion target, so that the operation rotation strategy can be optimal.

The invention relates to the technical field of antenna arrays, and particularly discloses a complex curved surface conformal array arrangement, polarization compensation and optimization method and system, and the method comprises the following steps: S1, point cloud discretization; s2, hexagonal regular arraying: selecting an initial point and a reference point from the point cloud data by taking a preset minimum array element spacing as a constraint, recursively expanding outwards according to a hexagonal geometric rule, screening candidate points meeting distance and angle tolerances, and removing overlapped points to form an array element arraying set; s3, polarization compensation: estimating a curved surface normal vector of each array element position, calculating a deflection angle between the array element normal vector and an array global main axis direction based on an Euler rotation model, correcting an array element local directional diagram to a global coordinate system through a rotation matrix, and compensating polarization mismatch; s4, optimizing a directional diagram: calculating an initial directional diagram of the array after polarization compensation, constructing an error function by taking an ideal directional diagram as a reference, solving an amplitude-phase weighted compensation value through a numerical algorithm, and minimizing a directional diagram error; and S5, carrying out controllable rarefaction.

The invention provides an arch bridge negative angle vertical rotation whole process continuous calculation method and system, and is applied to the technical field of bridge structure construction.The arch bridge negative angle vertical rotation whole process continuous calculation method comprises the steps that an arch bridge vertical rotation model is constructed based on design parameters of an arch bridge vertical rotation structure, and the arch bridge vertical rotation model comprises an inhaul cable simulation unit which comprises multiple sections of straight rod units; arch bridge design parameters and the unstressed length in the initial state are input into an arch bridge vertical rotation model, the arch bridge vertical rotation model is used for simulating the construction process, sub-variable quantities of the unstressed length obtained through calculation are sequentially input, and cable force and control parameters of inhaul cable components in different states are simulated and calculated till the vertical rotation process is completed; the method is simple and flexible in calculation and higher in precision, can truly reflect the quality and rigidity change of the inhaul cable, and is suitable for scenes such as steep deep valleys and busy traffic lines.

The present disclosure provides a continuous calculation method and system for the whole process of negative angle vertical rotation of an arch bridge, which is applied to the technical field of bridge structure construction and comprises the following steps: constructing an arch bridge vertical rotation model based on the design parameters of the arch bridge vertical rotation structure, wherein the arch bridge vertical rotation model comprises a cable simulation unit, and the cable simulation unit comprises a plurality of straight rod units; inputting the arch bridge design parameters and the unstressed length in the initial state into the arch bridge vertical rotation model, simulating the construction process by using the arch bridge vertical rotation model, inputting the sub-variation of the calculated unstressed length in sequence, and simulating and calculating the cable force and control parameters of the cable component in different states until the vertical rotation process is completed; the present disclosure is simple, flexible and high-precision, can truly reflect the changes of the cable quality and stiffness, and is suitable for scenes such as steep valleys and busy traffic lines.