527 results about "Mechanics model" patented technology

The invention discloses a cluster computing power energy efficiency perception scheduling and green computing system, which relates to the technical field of computers and comprises a multi-source energy efficiency perception and data acquisition module used for acquiring power consumption, utilization rate, temperature, cooling state, PUE index and environmental data of cluster nodes. According to the invention, through the multi-modal energy efficiency fusion sensing network and the multi-scale convolution and time sequence attention fusion network, multi-source heterogeneous energy efficiency data such as current, voltage, temperature, airflow and the like of a node level can be collected and fused in real time and with high precision, noise is effectively removed, abnormity self-correction is realized, the defect of energy efficiency sensing granularity in the prior art is made up, and the energy efficiency sensing precision is improved. And reliable input is provided for subsequent scheduling decisions. A cross-scale dynamic twinborn collaborative modeling mechanism is adopted, a physical information neural network and a computational fluid mechanics model are coupled, optimization is carried out through a generative adversarial network structure, and accurate prediction of a complex energy consumption evolution curve and a cooling flow field is achieved.

The invention relates to the crossing field of mechanical engineering and automatic control, in particular to a global path planning and anti-swing control method for a ship unloader, and aims to solve the problems of rigid path planning and poor synergism of out-of-control swing of a lifting appliance in traditional ship unloading operation. The method comprises the following steps: constructing a dynamic three-dimensional operation space model with fusion of a laser radar and binocular vision, and updating obstacle information in real time; an improved fast extended random tree algorithm is adopted to generate a high-smoothness initial path; establishing a six-degree-of-freedom lifting appliance swinging dynamic model and identifying parameters on line; path tracking and anti-swing torque are synchronously optimized through a model prediction controller, and the control period is smaller than or equal to 20 milliseconds; and closed-loop feedback correction is implemented by combining an encoder and an inertial measurement unit. According to the scheme, environment dynamic sensing, path-anti-swing depth cooperation and multi-disturbance self-adaptive compensation are achieved, the operation rhythm is improved by 30% or above, the system still operates stably under the 8-level wind condition, and high precision, high robustness and engineering implementability are achieved.

Provided are a planning and control method for a legged robot, an apparatus, a robot, and a storage medium. The method includes: determining, based on the movement state and the swing parameter of each leg at the next moment, a foot-end reference state of each leg, and planning, based on a foot-end dynamic model and a discrete collision model, an impact-aware swing leg trajectory for a leg that starts to swing at the next moment; and performing, based on the movement state, the reference state sequence, and the foot-end reference state, whole-body control on the legged robot, and performing, based on a whole-body dynamic model and the discrete collision model, impact-aware whole-body control for a leg that is a supporting leg in planning but does not touch the ground.

The invention discloses a double-foot wheel-legged robot pose control method and device based on hierarchical cooperative control, a medium and a product, and relates to the field of robot control, and the method comprises the steps that a hierarchical cooperative control framework is constructed; the layered cooperative control framework comprises a balance controller and a whole body attitude controller; the balance controller determines a reference wheel joint driving torque based on a simplified inverted pendulum dynamic model according to the pose information of the upper mass center of the biped wheel-leg robot; the whole-body attitude controller performs optimization control on all joints of the biped wheel-leg robot by adopting an incremental model prediction control algorithm combined with a reference wheel joint driving moment based on a whole-body dynamic model; state information of the biped wheel-legged robot is obtained; according to the state information, a driving torque instruction of each joint is obtained based on a hierarchical cooperative control framework; and driving the double-foot wheel-leg robot to move according to the driving torque instruction of each joint. The precision, robustness and real-time performance of robot motion control can be improved.

The invention provides a configuration optimization method before capturing of a space double-arm robot, and the method comprises the steps: constructing a kinematics and dynamics model of the space double-arm robot according to a three-dimensional model of the space double-arm robot; constructing a kinetic model of the to-be-captured target by using the motion parameters of the to-be-captured target in the space; according to the dynamic model of the space double-arm robot, the relative mass of the space double-arm robot under non-centering collision is obtained, and a maximum pre-contact collision force performance evaluation index is constructed; further constructing a double-arm closed chain inertia matching index performance evaluation index; constructing a configuration optimization model before the space double-arm robot captures the target; and through a multi-target optimization algorithm, the optimal configuration of the space double-arm robot before capturing the target is solved. The pre-contact collision force peak value of the double-arm robot during target capturing can be effectively reduced, and meanwhile the operability of a closed chain system formed after capturing is guaranteed.

The invention provides a wind field inversion method and device based on multi-source prior data, equipment and a medium, and the method comprises the steps: building a target function of a three-dimensional fusion wind field based on the multi-source prior data and a fluid mechanics model simulation wind field, carrying out the iterative optimization of the target function, and determining the three-dimensional fusion wind field; constructing an initial deep learning neural network model, taking the three-dimensional fusion wind field as a truth value label, inputting the urban underlying surface features, the terrain elevation and the numerical weather forecast wind field into the deep learning neural network model, and training to obtain a target deep learning neural network model; and inputting the new numerical weather forecast wind field, the urban underlying surface features and the terrain elevation into the target deep learning neural network model, and outputting a refined wind field. According to the technical scheme provided by the embodiment of the invention, through the trained deep learning neural network model, high-precision rapid inversion of the low-altitude wind field is realized without depending on laser radar and ground observation data and depending on prior information such as numerical prediction and terrain.

The invention discloses a robot Cartesian force damping control method and system based on a process energy mechanism, and the method comprises the steps: building a robot kinetic model, constructing an impedance control law and a force control law of a Cartesian space, and achieving the dynamic adjustment of control energy through combining a process energy container mechanism, global passivity and stability of the system in contact and non-contact states are maintained; the invention relates to the technical field of robot intelligent control and man-machine interaction. According to the robot Cartesian force damping control method and system based on the process energy mechanism, high-precision, safe and stable force control and damping adjustment can be achieved in the complex processes of polishing, assembling, wiping and the like, and a universal scheme with the energy self-management capacity is provided for safe man-machine cooperation.

The invention discloses an aggregate random distribution concrete PFC (Power Factor Correction) simulation method, which comprises the following steps: a model selection step: determining a parallel bonding model as a mechanical model for concrete material simulation; a cement mortar matrix generation step of generating a cement mortar matrix by using particles in a set size range in a set space range based on the model, and setting pore density, particle density and contact model parameters; a coarse aggregate random distribution simulation step: randomly covering and grouping original particles in the matrix in a grouping and range mode; a concrete numerical model construction step: determining particle classification so as to distinguish cement mortar and coarse aggregate; and a model reliability verification step: comparing indoor test results through a uniaxial compression test. According to the method, the simulation accuracy is improved, the randomness of aggregate is reduced, the model reliability is ensured, the matrix simulation refinement degree is improved, and a method is provided for concrete modeling and performance research.

The invention discloses a collaborative robot joint external force estimation method, and relates to the technical field of collaborative robot joint external force estimation, and the method comprises the steps: building a joint kinetic model, and obtaining the basic kinetic parameters of a collaborative robot joint; the angular displacement deviation between the input shaft and the output shaft of the speed reducer is obtained, and the compensated torsional angle difference is calculated according to the angular displacement deviation; a joint variable stiffness model is established, multiple sets of calibration data are obtained through experiments, and parameters in the joint variable stiffness model are identified according to the multiple sets of calibration data; based on the basic dynamic model and the joint variable stiffness model after parameter identification, a nonlinear disturbance observer is constructed in combination with introduced auxiliary variables; and system disturbance is observed and compensated through a nonlinear disturbance observer, so that an external torque estimated value acting on the tail end of the joint is calculated and output in real time. According to the method, high-precision and real-time estimation of the external torque can be effectively considered, and meanwhile, the system hardware cost and the structure complexity are greatly reduced.

The invention discloses a fracture prediction method based on well-to-seismic joint inversion and heterogeneous mechanical modeling, and the method comprises the following steps: collecting and preprocessing basic geological data of a target block; building a high-resolution reservoir rock physical model; establishing a three-dimensional geologic model of the heterogeneous mechanical body; carrying out fracture sensitivity prediction and spatial distribution modeling; and crack network three-dimensional visualization and development decision support. According to the method, well-to-seismic joint inversion, heterogeneous geomechanical modeling and artificial intelligence prediction technologies are deeply fused, and a systematic, intelligent and refined crack prediction solution is formed. Compared with a traditional method, the method has remarkable advantages in the aspects of crack space identification precision, multi-field coupling analysis capability and intelligent level, and provides scientific basis and technical support for efficient development of oil and gas reservoirs.

The invention discloses a direct coal liquefaction pump thermal wear prediction method considering a high temperature effect, and belongs to the technical field of fluid machinery and reliability engineering.The method comprises the steps that the high temperature effect is considered, a liquid phase control equation and a solid particle dynamic model are subjected to coupling iteration, and a solid-liquid two-phase flow numerical model is obtained; the method comprises the following steps: performing full flow field modeling on a fluid domain formed by flow passage components of a pump for direct coal liquefaction, and performing grid division on the fluid domain; constructing a heat-flow-solid multi-field coupling calculation system, and solving the solid-liquid two-phase flow numerical model by adopting a large eddy simulation method based on temperature correction and a discrete element method coupling method to obtain information of flow fields and particle fields at all positions in the pump; operation condition parameters are obtained, the thermal wear rate is obtained through a thermal wear rate calculation formula on the basis of flow field and particle field information of all positions in the pump, and the predicted wear amount of the flow passage component is obtained; and the prediction precision and applicability of the wear model are improved.

The invention discloses an excavator operation action control method and device based on bucket trajectory planning, and belongs to the technical field of engineering machinery automation. The method comprises the steps that excavator attitude sensing data and excavator environment sensing data are obtained; the excavator attitude sensing data comprises all joint angles of the excavator; according to the excavator attitude sensing data, obtaining the position and attitude of the bucket and constructing a dynamic model; the dynamic model represents a mapping relation between the bucket stress information and the bucket force output constraint information; acquiring a three-dimensional construction model according to the excavator environment sensing data; acquiring a three-dimensional deviation field according to the three-dimensional construction model and a preset building information model; planning a target construction track of the bucket according to the position and posture of the bucket, the three-dimensional deviation field and the dynamic model; and the target pose sequence of the joint space of the excavator is obtained based on the target construction track of the bucket, action control is conducted on all joints of the excavator according to the target pose sequence, and the high-precision excavator control method capable of achieving real-time adjustment according to the operation quality is achieved.

The invention relates to a mechanical arm self-adaption compliance control method and system based on model reference self-adaption and impedance parameter online identification, and belongs to the field of robots. The method comprises the steps that a mechanical arm task space dynamics model is established; designing a reference model; a recursive least square method is adopted, and an equivalent stiffness matrix and a damping matrix of the interaction environment are identified online; designing a composite adaptive law; the expected rigidity of the reference model is dynamically adjusted according to the environment rigidity obtained through identification; and according to sensor data collected in real time, the mechanical arm task space dynamics model, the robot parameter self-adaption law, the environment rigidity, the environment damping and the environment parameter identification robust item, control force is generated, and the mechanical arm is driven through the control force. According to the method and the system, the environment characteristics can be sensed online, and the compliant behaviors can be adaptively adjusted, so that safe, efficient and high-robustness interaction of the mechanical arm in a complex and unknown environment is realized.

The invention relates to the technical field of automobiles, in particular to a four-wheel steering vehicle track control method based on model predictive control. Firstly, a rear wheel proportionality coefficient changing along with the longitudinal speed of the vehicle is constructed; expressing a rear wheel steering angle as a function of a front wheel steering angle based on the proportionality coefficient, and substituting the function into a traditional three-degree-of-freedom four-wheel steering model to construct a simplified three-degree-of-freedom dynamic model with lower control dimension; performing linearization and discretization processing on the simplified model, and constructing an MPC prediction model; constructing a control objective function and related constraint conditions; and performing rolling optimization solution on the control target function to obtain an output rotation angle control instruction. According to the method, the complexity of a control problem is effectively reduced through model simplification, and the real-time performance and stability of a control system can be remarkably improved while the vehicle trajectory tracking precision is ensured.

The invention relates to the technical field of numerical control machining and automatic control, in particular to a numerical control machining self-adaptive control system and method based on multi-source data, and the method comprises the steps that FPGA hardware synchronously collects main shaft current, servo current of each feed shaft, cutting vibration and grating ruler pulse, and time bases are aligned and packaged into a machining multi-dimensional state matrix; the multi-physical field error is decoupled through a three-layer cascade machine tool dynamics model, a tool nose contour deviation vector is solved, and servo lag and cutting force deformation factors are fused to construct a dynamic constraint boundary. When the deviation amplitude exceeds the limit, generating a speed feed-forward gain compensation instruction based on an inverse control model to perform instant suppression; when it is monitored that oscillation is eliminated and returns to a steady state, full-time-domain data stream interception logic is triggered, and a process optimization instruction is generated through backtracking. According to the method, the problems of nonlinear time-varying error decoupling and real-time compensation lag under multi-physics field coupling are solved, and the dynamic precision and process stability of numerical control machining under complex working conditions are remarkably improved.

The invention relates to the technical field of fluid automation control, and discloses a quantitative filling oil way control method and system based on reinforcement learning, and the method comprises the steps: firstly generating a physical reference opening instruction based on a fluid mechanics model; calculating a rheological hysteresis factor to identify the viscosity characteristic of the fluid by superposing a micro-disturbance signal and analyzing the downstream pressure frequency response; and constructing a flow velocity adaptive state vector by adopting equal-volume interval sampling, and inputting the flow velocity adaptive state vector into the reinforcement learning network to output residual correction. Meanwhile, dynamic transmission time lag is calculated according to the rheological hysteresis factor and the real-time flow velocity, and time axis causal alignment of flow rewards and historical actions is executed. And finally, synthesizing the reference instruction, the correction amount and the micro-disturbance signal, driving the regulating valve after water attack suppression logic constraint, and executing end point braking at the tail section. The problems of time-delay matching and sample distortion under the long-pipeline variable-viscosity working condition are solved, and the quantitative filling precision and the system stability are improved.

The invention provides a service life prediction method and device for an industrial robot RV speed reducer, and relates to the technical field of speed reducer service life prediction.The method comprises the steps that an acceleration load spectrum is determined according to torque and time history data, and multi-stage loads in the acceleration load spectrum are woven into a program block spectrum according to a preset sequence; all levels of loads in the accelerated load spectrum serve as independent working conditions to be applied to the multi-body dynamic model for dynamic simulation, a load and time history curve set of the key weak component is obtained and input to the cumulative damage model for life calculation, the simulated predicted life is obtained, and a damage cloud picture is generated; taking the program block spectrum as a test loading instruction to carry out an RV speed reducer accelerated life test to obtain a test observation life and a physical failure morphology; if the two are in the corresponding preset deviation range, taking the simulated predicted life as the predicted life of the current RV speed reducer; the problems of long test period, high cost and low reliability of a simulation model are solved.

The invention discloses a method for calculating aerodynamic characteristics of a vertical axis wind turbine. The method comprises the following steps: establishing a computational fluid mechanics model and a free vortex wake model and forming interaction, segmenting a blade and establishing a two-dimensional local area, and initializing flow field and vortex wake parameters; calculating an induced flow velocity sum of each vortex element in the center of a local area, and loading the induced flow velocity sum and a far-field incoming flow velocity to a boundary node; the airfoil action is equivalent to point vortex and dipole flow at the circle center, and induced velocities of the point vortex and the dipole flow at boundary nodes are loaded; carrying out fluid mechanics parameter calculation on the flow in each two-dimensional local area; integrating the airfoil surface pressure to obtain a lift force, and calculating a circular rector to update the point vortex intensity; the dipole flow intensity is calculated and updated through the flow velocities of the three specific observation points. The method for calculating the aerodynamic characteristics of the vertical axis wind turbine is high in calculation efficiency and reliable in precision, the aerodynamic characteristics of the vertical axis wind turbine are accurately obtained with small calculation amount, and powerful support is provided for structural design and optimization of the vertical axis wind turbine.

The invention relates to the field of wheelchair control, and provides a control method and system based on a distributed electric wheelchair, and the control method comprises the steps: building a wheelchair dynamic model according to the structural characteristics of the wheelchair, obtaining the environment state information of the wheelchair, and building a time-varying potential field function based on the environment state information, building a model predictive control optimization problem by using the wheelchair dynamic model and the time-varying potential field function, solving the model predictive control optimization problem to obtain expected tire force, obtaining actual tire force and calculating a feedback error between the actual tire force and the expected tire force, building a tire force control model based on the feedback error, and controlling the tire force according to the tire force control model. The method comprises the following steps: acquiring a tire force control model, calculating by using the tire force control model to obtain an optimal tire force control parameter, generating a motor control instruction according to the optimal tire force control parameter, forming a complete control link from global trajectory planning, local dynamic obstacle avoidance and accurate tire force distribution, and remarkably improving the safety, real-time performance and robustness of the system in a complex dynamic environment.

The invention discloses a Fluent-based numerical simulation and experimental design method for shaking of liquid in a tank of a tank truck, and belongs to the technical field of numerical simulation of fluid dynamics (CFD). The method includes the steps that the hole opening position of the wave-proof plate serves as an independent variable, multiple hole opening position schemes are designed, liquid shaking related indexes are determined to serve as dependent variables, a geometric model is established according to the actual structure of a tank truck tank body, a fluid mechanics model and boundary conditions are set, a solver is configured, output parameters and numerical simulation initial values are set, and an experiment is executed. The liquid shaking process of a certain swash plate trepanning scheme is simulated, acting force data, namely shaking index data, between liquid shaking and the inner wall of the tank body is recorded, the advantages and disadvantages of each trepanning position scheme are evaluated based on the shaking index data, and the optimal scheme is determined. According to the method, a real object experiment is replaced by CFD numerical simulation, parameter setting is carried out, the experiment cost and the experiment risk are remarkably reduced, the experiment efficiency is improved, and data support can be provided for industry design.

The invention relates to the technical field of tunnel and underground engineering construction, and particularly discloses a complex variable stratum shield tunnel dynamic regulation and control tunneling method which comprises the following steps: S1, performing multi-dimensional data acquisition by utilizing a sensor array; s2, carrying out preprocessing operation on the collected multi-dimensional data; s3, constructing a shield tunneling-based mechanical model, a stratum three-dimensional geologic model and a tunneling parameter optimization model; s4, utilizing a CNN-LSTM machine learning network to predict the tunneling posture of the shield tunneling machine, the cutter abrasion loss and the stratum response; s5, dynamically regulating and controlling tunneling parameters in different scenes according to a prediction result; and S6, updating model parameters by using a gradient descent method, and optimizing machine learning network performance by using RMSprop. By the adoption of the shield tunnel dynamic regulation and control tunneling method for the complex and changeable stratums, the construction efficiency can be effectively improved, the construction safety is enhanced, and the shield tunnel tunneling problem in the complex and changeable stratums is solved.

The invention discloses a power transmission line icing analysis method and system influenced by microtopography and micrometeorology, and relates to the technical field of power transmission line risk prediction.The method comprises the steps that original meteorological data of an area where a power transmission line is located is collected and fused, and micrometeorological field variables are generated based on topographic parameters extracted by a DEM; on the basis of the fusion data and the micrometeorological field variables, three-dimensional micrometeorological field data are obtained through a fluid mechanics model, the three-dimensional micrometeorological field data are corrected through terrain parameters obtained through a DEM model, an exponential weighted moving average method is used for adjustment, and accurate three-dimensional micrometeorological field data are obtained; based on the accurate micrometeorological field data, the icing thickness is obtained by adopting a physical-empirical hybrid icing growth model, the output icing thickness is adjusted in real time through a dynamic correction algorithm, and a final icing simulation result is obtained. The accuracy of power transmission line icing disaster prediction and the flexibility of emergency response are improved.

The invention provides a highway bridge bearing capacity calculation method and system, and relates to the technical field of bearing capacity calculation, and the method comprises the steps: obtaining basic parameters of a target highway bridge; performing model construction according to the basic parameters to obtain a bridge three-dimensional mechanical model; carrying out load mode analysis according to the bridge three-dimensional mechanical model, and carrying out space distribution on a dead load standard value and a live load dynamic effect based on the number of lanes and a load action area to obtain a total load value; stress field solving is conducted according to the total load value and the bridge three-dimensional mechanical model, and stress-strain distribution data are obtained by calculating stress-strain distribution of the main beam midspan section and the pier beam connection area section; calculating the ultimate bearing capacity according to the stress-strain distribution data, and evaluating the bearing capacity based on the relationship between the allowable stress and the maximum stress of the material to obtain the ultimate bearing capacity value of the bridge; and correcting the ultimate bearing capacity value of the bridge based on the service life and the current damage degree to obtain a highway bridge bearing capacity evaluation result.

The invention discloses a spatial gear transmission system reliability evaluation method fusing failure physics and degradation data, and belongs to the technical field of mechanical reliability engineering and fault prediction. The method aims to solve the problem of reliability evaluation of the spatial gear transmission system under the conditions of extreme environment, small sample, multi-failure mode coupling and significant individual difference. The method comprises the following steps: firstly, establishing a gear dynamics model considering nonlinear excitation to obtain dynamic meshing force; then, respectively constructing wear and fatigue degradation models based on failure physics; then, introducing an inverse Gaussian random process considering individual differences to carry out single failure mode reliability modeling; and finally, a Copula function is utilized to construct a binary correlation competition failure model, and system-level reliability comprehensive evaluation is realized. Through the technical route of physical mechanism driving, uncertainty quantification and data statistics fusion, a complete evaluation system is formed, and key technical support is provided for on-orbit health management and life prediction of the space gear transmission system.

The invention relates to the technical field of power transmission line verification, and discloses a point cloud-based power transmission line windage yaw double-parabola verification method, system and device and a medium, and the method comprises the steps: obtaining three-dimensional point cloud data of a power transmission line corridor, and extracting key ground feature parameters; according to the input target simulation working condition parameters, applying a wire state equation to iteratively solve the dynamic horizontal tension of the wire under the corresponding working condition, and combining a double-parabola mechanical model to calculate a three-dimensional space curve of the power transmission line under the windage yaw state; inputting a three-dimensional space curve and key ground feature parameters, and calculating a three-dimensional space minimum clearance distance between the power transmission line and a key ground feature in a simulated windage yaw state; and after comparison, a verification result is output. According to the method, the wind deflection and sag forms are accurately reconstructed by applying a double-parabola mechanical model, and dynamic simulation of different working conditions is realized in combination with a wire state equation. By combining high-precision mechanical analysis with an automatic verification process, the stability and safety of power grid operation can be improved.

The invention provides a control method and system for a five-degree-of-freedom marine crane under a non-inertial system, and relates to the technical field of automatic control of cranes. The method comprises the following steps: acquiring a real-time state variable of the crane under a non-inertial system; the state variables are input into a self-adaptive radial basis function neural network, a lumped disturbance estimated value is obtained, and the neural network is designed based on a five-degree-of-freedom dynamical model established by utilizing a Lagrange equation and a virtual work principle under a ship coordinate system and considering ship six-degree-of-freedom motion and installation position offset; calculating a tracking error function according to the state variable and the expected trajectory; and inputting the disturbance estimation value and the error function into a feedback controller, calculating to generate a control torque, and outputting the control torque to an execution mechanism to drive the crane to track an expected trajectory and suppress load swing. According to the method, direct modeling and control under a non-inertial system are realized, the problems of coordinate transformation disturbance and singularity caused by inertial system modeling are solved, and the trajectory tracking precision and the anti-interference robustness are improved.

The invention relates to the technical field of ocean engineering construction automation, and discloses a hinge sinking mattress construction real-time monitoring control system based on multi-sensor fusion, which inverts a near-field hydrodynamic environment acting on a hinge sinking mattress through a hydrodynamic field inversion module by using strain measurement data and a parameterized forward dynamical model, and performs real-time monitoring and control on the hinge sinking mattress. The state fusion estimation module fuses sparse absolute position measurement data and high-density form measurement data in an extended Kalman filtering framework, introduces form manifold projection correction, and accurately estimates the position, attitude and form of the sinking mattress. And the predictive control decision module takes the estimated system state and the inverted near-field hydrodynamic environment as input, and solves an optimization problem to generate an optimal control sequence under multiple constraints of considering structural safety and physical limitation of an execution mechanism. According to the method, active suppression of hydrodynamic disturbance is achieved, the robustness and precision of state estimation are improved, and the automation level and efficiency of hinge sinking construction are remarkably improved.

The invention discloses an unmanned tower crane dynamic simulation method and system based on a virtual simulation technology, and relates to the technical field of intelligent construction. Comprising the following steps: constructing an unmanned tower crane BIM model and collecting point cloud data, and establishing a simulation model based on the unmanned tower crane BIM model and the point cloud data; developing a customized physical engine based on the simulation model, and constructing a multi-body dynamic model; constructing a three-dimensional wind field model, adjusting parameters, performing climate coupling simulation with the multi-body dynamic model, and obtaining structure response data under different wind fields; constructing an unmanned tower crane path planning model, and generating and executing an unmanned tower crane motion path in combination with the wind field parameters and the structure response data; running state data are obtained and visualized, and multi-dimensional risk monitoring is carried out on the path execution process according to the running state data. According to the method, the problems of scene distortion, rough simulation and risk missed judgment in the existing unmanned tower crane virtual rehearsal are solved, and the authenticity and effectiveness of the virtual rehearsal are improved.

The invention relates to the technical field of analogue simulation, in particular to a plate shape control parameter optimization method based on digital twinning, which comprises the following steps of: constructing a material microscopic performance digital twinning body, calculating the offset of a physical neutral layer through virtual straightening rehearsal, deducing a non-uniform differential curvature target, carrying out reverse iteration, and outputting a global optimal parameter of a straightening machine. And the fracture mechanical model is used for driving the digital twin to perform virtual simulation of shear crack propagation, burr and edge collapse data are calculated, and the angle and surface prestress parameters of a shear knife are adjusted. And the production line laser point cloud and the visual image are fused to construct geometric morphology digital twin bodies, a defect topology fingerprint is generated, the two digital twin bodies are coupled by running a moving target spot interception algorithm, and the optimal transverse track and the local rolling reduction of the stress release roller are planned. According to the method, through multi-physics field virtual simulation and closed loop verification, collaborative optimization of global straightening, dynamic shearing and local repairing in high-strength steel plate production is achieved.

The invention relates to the field of motor and gear transmission systems, in particular to a method for optimizing design parameters of a transmission gear in an electric drive system.The method includes the steps that firstly, a two-dimensional finite element model of a permanent magnet synchronous motor is established, rotor stepped skewed slots and material magnetic saturation characteristics are accurately simulated, and an external characteristic MAP is generated; then calculating electromagnetic force density based on a Maxwell stress tensor method, mapping the electromagnetic force density to a multi-body dynamic model to construct a transverse coupling model, extracting an ECE reduced-order model based on a permanent magnet synchronous motor two-dimensional finite element model, forming a torsional vibration model in combination with a control algorithm, integrating a rigid-flexible coupling mechanical system, and establishing an electromechanical-rigid-flexible coupling model; and finally, through sensitivity analysis and a response surface model, with vibration acceleration and torsion amplitude as targets and gear strength as constraints, a Pareto optimal solution is solved by adopting a genetic algorithm, electromechanical coupling simulation precision is greatly improved, system vibration is effectively reduced, gear transmission reliability is enhanced, and the method is suitable for design of a high-dynamic-performance electric drive system.