11results about How to "Rapid modeling" patented technology

The application discloses a flexible multi-body dynamics method verification experimental device, which is used in the field of flexible multi-body dynamics experiments. The system comprises a structure system, a driving system, a measuring system and a connecting system. The structure system comprises a flexible test piece, an auxiliary beam and a counterweight piece. The driving system comprises a servo motor and a feedback control component thereof. The measuring system comprises an accelerometer, an angular displacement sensor, an eddy current sensor and a high-speed camera. The connecting system comprises equivalent torsional spring pieces and design modules for fixing two flexible beam test pieces together, and the system fundamental frequency of the flexible beam is adjusted by changing the torsional spring stiffness. The application provides a device for multi-section flexible beam dynamics experiments, which can accurately measure the displacement response and acceleration response of the test piece, is consistent with the modeling analysis results, and provides an important tool for related research and development.

This invention discloses a high-speed communication link transmitter modeling method based on a Transformer decoder. This method parameterizes the input signal and establishes a deep learning model with an encoder-decoder architecture, including a non-sequential encoder and a Transformer sequential decoder, to predict the output signal of the transmitter given the input signal. The encoder processes the input signal parameters, generates a context vector, and then passes it to the decoder. The decoder uses the context vector and the transmitter output signal sequence to generate a class probability distribution for each point in the sequence. The model is trained using a random masking strategy and employs non-autoregressive decoding and filtering techniques for inference, achieving parallel output sequence prediction. The final output is obtained through a single signal filtering step. Compared with traditional simulation techniques, this method significantly improves simulation speed while maintaining a very small error.

The invention relates to the technical field of laser processing, in particular to a laser galvanometer track real-time optimization method and system based on deep learning, and the system comprises an adaptation module, a filtering module, a decision module and an adjustment module. According to the method, an initial lag baseline model is trained through small samples, and new working condition supplementary samples are rapidly iterated; synchronously capturing data through multiple sensors, filtering interference, and accurately judging a fixed or dynamic lag type; the fixed lag is compensated by adopting a baseline model, and the dynamic lag outputs a compensation value in real time through a brain-like neural network; and finally, performing closed-loop adjustment on the compensation parameters and the model based on real-time track deviation. The problem that real-time high-precision compensation is difficult to achieve under the dynamic working condition, the small sample new working condition and machining interference of an existing method is solved, the galvanometer track following precision and machining consistency are remarkably improved, and the high-end manufacturing micro-nano-level machining requirement is met.

The invention relates to the technical field of ships, in particular to a ship tail flow guide fin appearance drawing and modeling method which comprises the following steps: importing a stern outline and a stern rib molded line, and importing outlines of a rudder and a guide pipe; drawing inner and outer side steel pipes of a diversion section, drawing inner and outer side inclined tangent lines of the diversion section, drawing a channel arc section of the diversion section, and drawing a diversion section top intersecting line; drawing a guide pipe section top intersecting line, and drawing inner and outer side inclined tangent lines of the guide pipe section; a stern steel pipe is arranged, a top intersecting line of the plotting rudder platform section is arranged, inner and outer side oblique tangent lines of the plotting rudder platform section are arranged, and a contour line of the plotting rudder platform section is arranged; and obtaining control point coordinates of each cross section line of the flow guide fin, establishing each cross section line of the flow guide fin in a three-dimensional space, and adding a longitudinal curve to form a three-dimensional curved surface of the flow guide fin. According to the method, a two-dimensional drawing of fairing of the flow guide fins can be set and drawn through parameterized design of a standardized process according to different ship tail shapes and sizes and positions of guide pipes and rudders used by the ship tail shapes, and three-dimensional modeling of the flow guide fins is rapidly completed.

The application provides a detection formula setting and optimization method and device, electronic equipment and a storage medium. The method comprises the following steps: labeling a first data sample to obtain a second data sample; wherein the first data sample comprises a plurality of detection result data; the second data sample comprises the detection result data and a label corresponding to each piece of data; and data feature distribution information of a detection object is obtained according to the second data sample; a preset outlier statistical analysis strategy is used to perform outlier statistical analysis on the data feature distribution information, to obtain defect distribution boundary information and determine a detection formula; and finally, the values of the detection parameters of the detection formula are determined or optimized through reverse deduction according to the defect distribution boundary information and the preset outlier statistical analysis strategy. The application considers the coupling relationship between parameters, can avoid repeated adjustment of parameters, can infer a complete set of detection parameters at the same time, realizes rapid modeling of the detection formula, and can save manpower and time costs.

The application provides a kind of fusion kinetics aircraft GNC system visual modeling method, it is related to aircraft guidance control system modeling simulation technical field.The method divides aircraft GNC system model into dynamic model, kinematic model, environment model, rudder system model, seeker model, autopilot, target motion model, 3-DOF visual motion simulation model and guidance computer, models each model above and constitutes aircraft GNC system model, is used to solve trajectory when missile flies, required overload and actual overload, seeker tracking curve, instantaneous miss distance, flight attack angle, flight Mach number, rudder deflection angle parameter.The method of the application introduces visual modeling simulation and dynamic data table, considers the coupling influence between each subsystem and related system in GNC system explicitly, is convenient for the simplified modeling and simulation of different configurations guided aircraft, so that aircraft can obtain better flight performance and guidance precision.

This invention discloses a rapid method for constructing semantic electronic maps based on geographic entities, comprising: determining the entity category of each element in the basic surveying and mapping data of the area to be constructed based on a multi-level classification framework, and lightweight compressing the basic surveying and mapping data of each element; converting the geometric surveying and mapping data and attribute information of the elements into geographic entity geometry and geographic entity attributes according to the geometric mapping and attribute mapping relationships of the elements, constructing multi-dimensional semantic relationships of entities, and obtaining two-dimensional geographic entities; selecting a three-dimensional transformation method according to the type of the two-dimensional geographic entity to convert the two-dimensional geographic entity into a three-dimensional geographic entity; performing conflict detection on the generated three-dimensional geographic entity model, and handling the conflict of elements, correcting the corresponding three-dimensional geographic entities to ensure the reliability and accuracy of the constructed three-dimensional geographic entities; and finally constructing a three-dimensional electronic map based on the three-dimensional geographic entities of all elements.

The application discloses a kind of composite material mixed connection performance modularization quick prediction method, comprising the following steps: S1. the circuit model of composite material connecting structure is constructed, and the circuit model is established based on the mechanical equivalent principle of spring stiffness method;S2. the displacement response signal and load information of connecting structure under the action of load are acquired by simulating composite material connecting structure using the circuit model;S3. based on the displacement response signal, whether the structure is damaged and damage type is judged in combination with corresponding damage criterion;S4. the circuit model is adjusted according to the judgment result;S5. based on the circuit model after adjustment, the complete load-displacement curve of the composite material connecting structure is output in combination with the load information predicted.The application can efficiently predict the nonlinear mechanical response of bolt connection, glue joint connection and glue screw mixed connection structure before damage occurs, and accurately simulate the whole process behavior of stiffness degradation and load redistribution after damage occurs.

The invention discloses an inner and outer contour measuring device, which relates to the technical field of measuring devices and comprises a cradle assembly, a Y-axis sliding table, an outer contour measuring assembly, a first Z-axis sliding table, an X-axis sliding table, an inner contour measuring assembly and a second Z-axis sliding table. The cradle assembly comprises a product clamping assembly, a cradle body, a cradle support and a cradle driving device. The Y-axis sliding table is used for driving the cradle base to slide in the Y-axis direction. The outer contour measuring assembly is used for measuring the outer contour of the product. The first Z-axis sliding table is used for driving the outer contour measuring assembly to slide in the Z-axis direction, and the X-axis sliding table is used for driving the first Z-axis sliding table to slide in the X-axis direction. The inner contour measuring assembly comprises a climbing needle sensor which is used for measuring the inner contour of the product. The second Z-axis sliding table is connected with the inner contour measuring assembly and used for driving the inner contour measuring assembly to slide in the Z-axis direction. According to the device, measurement of the inner contour and the outer contour is completed through one-time clamping, equipment replacement is avoided, and a structural basis is provided for subsequent data fusion.

The invention provides an equilibrium strategy generation method, device and equipment for a large-scale unmanned cluster game, relates to the technical field of large-scale autonomous system decision control, and aims to solve the defects of poor stability and low calculation efficiency when an equilibrium strategy is generated for a large-scale unmanned cluster in the prior art. And efficient collaboration and autonomous decision-making of a large-scale cluster in a complex environment are realized. Comprising the following steps: dividing devices included in a device cluster into a plurality of populations based on characteristic parameters of each device included in the device cluster; constructing an average field game model of the plurality of populations, wherein the average field game model is used for reflecting an interaction effect among the plurality of populations; iteration is carried out based on a target mode and the average field game model, a balance control strategy of the equipment cluster is obtained, and the target mode comprises at least one of exponential weighted aggregation, near-regularization, bootstrap regularization and heuristic acceleration; and controlling the equipment cluster to execute the target task based on the balance control strategy.

This invention discloses a method for 3D defect modeling. The method includes: acquiring a ray detection dataset, which includes several detection images and several robotic arm pose data corresponding to the detection images, wherein the robotic arm pose data represents the position and orientation of the robotic arm holding the ray machine when the 3D defect image is captured; and performing a reverse projection of the defect 3D model based on the detection images and the robotic arm pose data. This invention also discloses a 3D defect modeling device and a computer-readable storage medium. This invention enables 3D defect modeling, accurately determines the defects in the 3D defect model, and achieves rapid 3D defect modeling.