16 results about "Rigid model" patented technology

The invention discloses a 10kV overhead line adaptive evaluation method and system for non-power-cut operation, and the method comprises the following steps: obtaining the field data of a target line, and constructing the field data into a multi-dimensional evaluation feature vector according to a preset evaluation dimension system for non-power-cut operation; inputting the multi-dimensional evaluation feature vector into a non-power-cut operation adaptability evaluation model to obtain a comprehensive evaluation score and an optimization suggestion of the target line; outputting the comprehensive evaluation score and the optimization suggestion; wherein the non-power-cut operation adaptability evaluation model is constructed by the following steps: training to obtain an initial machine learning model; simulating a preset non-power-cut operation task flow in the digital twinborn body; and performing incremental training and parameter optimization on the initial machine learning model by using operation effect data fed back after actual operation of the simulation data vector. The problems of single evaluation dimension, model stiffness and the like in the prior art can be solved.

The invention belongs to the technical field of artificial intelligence and edge computing, particularly relates to an industrial edge-oriented lightweight AI model dynamic loading system, and aims to solve the problems of rigid model deployment, high reasoning delay and update lag caused by resource limitation and variable working conditions of industrial edge equipment. According to the system, an AI model is decoupled into function fragments with attribute tags through a model fragment manager, a configuration strategy is generated by combining a context sensing adaptation module with an equipment state and a task requirement, a scheduling engine determines an optimal fragment combination according to the configuration strategy, an incremental loading executor realizes millisecond-level hot plugging through symbol analysis and a double-buffering mechanism, and the configuration strategy and the scheduling engine are combined. The localized fine tuning unit optimizes key parameters online by using a small amount of data. According to the scheme, loading on demand, dynamic adaptation and non-inductive upgrading are supported, memory occupation and energy consumption are remarkably reduced, the response speed and the model generalization ability are improved, and efficient autonomy of edge intelligent services is achieved.

The invention discloses a full-closed-loop control method for a humanoid robot joint module based on an FPGA (Field Programmable Gate Array), which relates to the technical field of robot control and comprises the following steps of: performing second-order active low-pass filtering and programmable gain amplification on analog signals of an encoder, a gyroscope and a force sensor to convert the analog signals into digital signals; a multi-dimensional feature sequence is constructed, temperature signals of a joint driver and an encoder are collected through a temperature sensor interface, a temperature drift model is constructed, and zero drift compensation parameters are obtained; further obtaining a joint elastic deformation error, and applying the joint elastic deformation error to an encoder signal for online offset correction; outputting a reconfiguration region selection signal based on the lightweight neural network; and triggering bit stream local refresh corresponding to the PR Region according to a region selection signal output by the lightweight neural network. The problem that a control loop is difficult to eliminate flexible errors due to the fact that a traditional rigid model or a constant parameter model is difficult to reflect deformation characteristics under the heat-lubrication-load combined action in real time is solved.

This invention discloses a method for evaluating and comparing comprehensive economic and social development indices, addressing the technical problems of inefficient data processing, rigid models, singular analysis, and static results in existing evaluation methods. The method sequentially completes five layers of operations: constructing and dynamically configuring a three-level evaluation indicator system to generate a configuration file containing comprehensive information; automatically collecting multi-source heterogeneous data and performing cleaning and standardization to generate a standard dataset; calculating and storing sub-domain indices and comprehensive development indices according to a bottom-up hierarchical aggregation logic; conducting longitudinal time-series comparisons, structural differentiation identification, and automated attribution analysis to generate a structured analysis report; and generating a multi-partition interactive visualization interface to achieve a step-by-step exploration of the index from macro to micro levels. This invention automates data processing, dynamically adapts the indicator system, completes in-depth index analysis and interactive display, improves the efficiency and practicality of evaluation, and provides precise decision-making support for the formulation of policies related to economic and social development.

The application discloses a normal fault dislocation and earthquake time sequence coupling simulation test device and method in a supergravity environment, and the method comprises a rigid model box, a fault dislocation system, two normally closed electromagnetic valves, a manual hydraulic pump and a hydraulic oil pipe, wherein the fault dislocation system is arranged in the rigid model box; the two normally closed electromagnetic valves and the manual hydraulic pump are arranged outside the rigid model box; the manual hydraulic pump is connected with the two normally closed electromagnetic valves through the hydraulic oil pipe, and the two normally closed electromagnetic valves are connected with the fault dislocation system through the hydraulic oil pipe. The application realizes high-precision reproduction of the dynamic response of a rock-soil body and the structural disaster process under the time sequence coupling effect of fault dislocation and earthquake vibration by integrating a centrifuge supergravity field, a vibration table earthquake vibration simulation and a fault dislocation system, and provides an advanced test platform for studying the surface deformation law caused by fault dislocation and the coupling disaster mechanism of rock-soil engineering structures such as a roadbed, a slope and a tunnel.

A seabed slope shaking table test system for simulating ocean wave action includes a rigid model box, a wave-generating equipment support, an integrated lifting wave device, and an end wave-damping device. The rigid model box is connected to the shaking table platform at its bottom. The wave-generating equipment support is fixed to the side wall of the rigid model box, supporting the integrated lifting wave device and adjusting its height. The integrated lifting wave device is used for wave simulation and reflected wave elimination. The end wave-damping device is fixed to the side wall of the rigid model box, opposite the integrated lifting wave device, and is used for end wave damping. This invention simulates earthquakes on the shaking table while simultaneously loading waves, unifying the effects of overlying seawater, waves, and earthquakes. This allows for a more realistic simulation of multi-dynamic coupling instability of seabed slopes in complex marine environments. Furthermore, the wave parameters and the water depth of the wave-generating equipment are flexibly adjustable, facilitating a wider range of experimental parameters for seabed slopes.

The application relates to the technical field of unmanned aerial vehicle control, and discloses a four-unmanned aerial vehicle cooperative hoisting system for emergency rescue and a robust control method thereof; the robust control method solves the problem of low applicability of a rigid model by constructing a coupling model of the four-unmanned aerial vehicle cooperative hoisting system, establishing a dynamic equation based on Lagrange-D'Alembert theorem, accurately describing a high-order coupling relationship between unmanned aerial vehicle displacement and hoisting rope swing angle, designing a swing reduction control model, constructing a Lyapunov candidate function and a coupling error function by using an energy method, integrating position, formation and swing angle errors, regulating and controlling the swing reduction control model, dynamically adjusting parameters such as damping gain, realizing swing suppression, ensuring system asymptotic stability, improving model precision, enhancing control robustness, greatly reducing swing amplitude, and meeting the requirements of rapidness and safety of power emergency rescue.

This invention discloses a method for calculating and evaluating gear knocking on balance shaft scissor teeth, comprising the following steps: constructing a rigid model of an engine balance shaft system; performing mesh generation to obtain a finite element model; setting condensed nodes on the finite element model and coupling the condensed nodes with the contact boundaries; performing condensation processing on the finite element model and using the generated condensed model to replace the finite element model for mechanical analysis; making the gears flexible; applying excitations at various speeds on the crankshaft and starting simulation calculations; extracting the meshing force on the tooth surface of each gear pair at each speed; processing the meshing force data to obtain the peak meshing force, obtaining the impact index based on the peak meshing force, and obtaining the knocking evaluation based on the impact index. The method described in this invention can establish a fully flexible balance shaft system simulation model and quantitatively evaluate the knocking noise of balance shaft scissor teeth, providing a basis for the analysis and optimization of gear knocking problems on balance shaft scissor teeth.

The application discloses a construction safety risk early warning system and method based on three-dimensional grids and dynamic gain, comprising: a grid construction and risk factor management module for constructing three-dimensional grid units of a construction risk area and generating a risk factor set of each grid; a model parameter setting module for determining the benchmark weight of each risk factor, setting a dynamic gain function, sensitivity parameters and hierarchical early warning thresholds for each factor; a model parameter calibration module for iteratively optimizing model parameters through historical data backtesting and random scenario stress testing; a risk dynamic assessment and early warning module for calculating the dynamic weight of risk factors and the real-time risk value of grid units based on the real-time collected state values of risk factors, benchmark weights and optimized parameters, and then triggering hierarchical early warning. The application solves the problems of the existing risk early warning method, such as coarse granularity, difficulty in dynamically responding to risk evolution and rigid model parameters, and realizes real-time, accurate and dynamic early warning of construction safety risks.

The embodiment of the application discloses a kind of ring sweep imaging satellite's rotation control method, device and medium;The method can include: according to the kinematics equation constructed by (w,z) parameter and the dynamics equation constructed by rigid model, the reference value w of parameter w for describing spin axis pointing is obtained by time integration r ;Rotation stage: without introducing the parameter z for describing the rotation angle around spin axis, the parameter w obtained by the first reference value w r Parameter error w e And angular velocity error ω e First control law is designed for rotation control, and is switched to spin angle control stage after rotation stabilizes;Spin angle control stage: the value of parameter z at switching time is used as the initial value of the reference value z r Of parameter z, and according to the kinematics equation constructed by (w,z) parameter and the dynamics equation constructed by rigid model, subsequent reference value z r Is obtained by time integration;According to the reference value z r Of the parameter z, the error z e Of parameter z is introduced, and the second control law for spin angle control is designed according to the error z e Of the parameter z and the first control law.

The invention relates to the technical field of computers, and discloses a virtual model deformation method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a first virtual model, and recognizing a first rigid model in the first virtual model; performing global deformation on the first virtual model to obtain an intermediate virtual model; determining rigid transformation parameters of the first rigid model according to parameter change information corresponding to the intermediate virtual model and the first rigid model from global transformation of the first virtual model; and combining a second rigid model obtained by performing rigid transformation on the first rigid model according to the rigid transformation parameters with the flexible model in the intermediate virtual model to generate a second virtual model. Smooth fitting of flexible models such as cloth can be guaranteed, the structural characteristics of rigid components can be maintained, and the method is suitable for deformation of mixed material models.

The application discloses a human-imitating robot joint module full-closed loop control method based on FPGA, and relates to the technical field of robot control.The steps of the method comprise the following steps: performing second-order active low-pass filtering and programmable gain amplification conversion on the analog signals of an encoder, a gyroscope and a force sensor to obtain digital signals; constructing a multi-dimensional feature sequence, collecting temperature signals of a joint driver and the encoder through a temperature sensor interface, and constructing a temperature drift model to obtain zero-position drift compensation parameters; then, joint elastic deformation error is applied to the encoder signal to perform online offset correction; based on a lightweight neural network, a reconfiguration region selection signal is output; and according to the region selection signal output by the lightweight neural network, a bit stream local refresh of a corresponding PR Region is triggered.The application solves the problem that a traditional rigid model or a constant parameter model is difficult to reflect deformation characteristics under the combined action of heat-lubrication-load in real time, so that a control loop is difficult to eliminate flexible error.

The invention provides a multi-modal fusion investment management evaluation method and device and a processor. The method relates to the technical field of data processing, and comprises the following steps: generating an evaluation model passing verification based on a selected model framework and a configuration code in user configuration information; based on a data request in the user configuration information, calling reference data from a database; based on reference data, in combination with options, through a function correspondingly configured in the evaluation model, performing statistical calculation to obtain evaluation data; and generating a visual result based on the evaluation data and pushing the visual result to the user terminal. Therefore, a complete closed-loop evaluation process from configurable model building to data calling, then to calculation analysis and finally to visual output solves the problems of model solidification, non-visual analysis result and the like of a traditional evaluation method; and finally, the evaluation data is pushed in a visual form, a user does not need to manually arrange the data and make a chart, the basic working cost of investment and research personnel is greatly reduced, and the evaluation efficiency is improved.

An adaptive reaction system for intelligent responsive microplastic degradation, relating to the field of microplastic pollution control technology, addresses the problem of rigid model cognition in existing machine learning models. It includes a sample input and pretreatment module, a plasma degradation module, a photocatalytic degradation module, an intelligent response control module, and a product output and monitoring module. The sample input and pretreatment module receives microplastic samples and outputs a homogeneous microplastic suspension. The plasma degradation module receives the microplastic suspension and outputs a reaction mixture containing intermediate degradation products. The photocatalytic degradation module receives the reaction mixture and outputs the final product. The intelligent response control module incorporates a metacognitive monitor and a controlled exploration unit. The product output and monitoring module receives the final product and outputs degradation product and efficiency data, feeding the data back to the intelligent response control module. This invention solves the problem of rigid model cognition in existing machine learning models.

The application relates to a fault simulation test device and method satisfying strong earthquake dislocation coupling loading, which comprises a rigid model box, a module assembly type component, a layered shear component, a shaking table loading device and a bracket. The bracket is arranged between the two shaking table loading devices, one end of the module assembly type component is connected with the rigid model box, the other end of the module assembly type component is connected with the layered shear component, and the bottom of the layered shear component is slidably connected with the bracket. The soil body and the tunnel model are arranged in the rigid model box and the module assembly type component and pass through the layered shear component. The rigid model box and the module assembly type component are controlled to move along the vibration direction of the shaking table loading device by inputting the seismic wave of the shaking table loading device, so that the layered shear component is driven to dislocate. Compared with the prior art, the application can effectively simulate the influence of the displacement of the fault fracture zone on the tunnel structure under the strong earthquake dislocation coupling condition, is easy to operate and has high universality.

The invention provides a user side energy storage hybrid regulation capability cooperative control method, which comprises the following steps: collecting multi-source data, matching a scene label, and associating a scene database based on the scene label; generating a power grid change trend through a power grid edge trend pre-judgment strategy based on the multi-source data, generating an emergency degree parameter, calling the adaptation degree of a corresponding model from a scene database according to a scene label, calculating a priority coefficient through a priority model, obtaining a corresponding response model according to the priority coefficient, and obtaining a response result according to the response model; the response mode comprises a rigid priority mode, a flexible priority mode and a fusion control mode; according to the response mode, a corresponding control model is called to execute energy storage charging and discharging adjustment, the control model comprises a rigid control model adaptive to a scene adaptation degree threshold value and a multi-constraint flexible adjustment model capable of adaptively selecting an algorithm, and smooth transition of the rigid model and the flexible model is achieved by fusing the control mode based on pre-judgment parameters.