945 results about "Field simulation" patented technology

The invention discloses a clean workshop production environment quality control method and system, and relates to the technical field of environment control, and the method comprises the steps: constructing a multi-layer sensing network, deploying temperature and humidity, particle concentration, pressure difference and VOC gas sensors, and carrying out the preprocessing data of each node through edge calculation; fusing the data based on a dynamic weight distribution algorithm, adjusting the weight according to the confidence score, and generating an environment quality comprehensive index; an LSTM pollution diffusion prediction model is established, a diffusion path is calculated in combination with airflow field simulation when pollution suddenly occurs, and an emergency response partition strategy is generated; fresh air system control parameters are optimized through reinforcement learning, a dynamic ventilation frequency adjusting model is established based on a real-time environment quality index and historical energy consumption data, and energy consumption is minimized through a Q-learning algorithm on the premise that cleanliness is guaranteed; a double-threshold early warning mechanism is set, local supercharging purification is started when a comprehensive index exceeds a first-level threshold, a second-level threshold is linked with adjacent areas to form a dynamic isolation barrier, and an intervention scheme effect is simulated through a digital twin system.

The invention relates to the technical field of anti-cracking performance testing, in particular to an ultra-high performance concrete anti-cracking performance testing system and a dynamic monitoring method thereof.The system comprises a dynamic stress field simulation feedback module used for sensing three-dimensional distribution of a micro stress field in concrete in real time by constructing a flexible loading array to obtain dynamic stress field data; the multi-scale damage evolution tracking module is used for deploying a high-resolution acoustic emission network and a distributed optical fiber sensing layer based on dynamic stress field data of the flexible loading array to form a full-scale evolution graph from microdefects to macroscopic cracks; and the intelligent healing efficiency evaluation module obtains stress redistribution data and a full-scale evolution graph, and a repairing medium containing a tracer agent is injected into a preset crack path. According to the method, the whole process of crack resistance of the material from defect initiation to repair and regeneration can be quantitatively evaluated; and finally, outputting a dynamic evolution rule of the crack resistance and enhancing potential evaluation.

The invention relates to the technical field of ship propulsion, and discloses an energy-saving control method for a pre-rotating guide wheel of a ship propulsion system and a fluid optimization system. According to the invention, through a multi-dimensional cooperative control strategy and fluid structure optimization, an integrated system with dynamic prerotation compensation, self-adaptive flow regulation and vortex suppression functions is constructed. The control method comprises a multi-physical field sensor array, a guide wheel angle dynamic compensation algorithm and an energy efficiency optimization decision model, a deep learning algorithm is adopted to establish a mapping relation between a propeller wake flow field and guide wheel parameters, and 0.1-second-level dynamic response is achieved. According to the fluid optimization system, an asymmetric variable-curvature guide vane structure is innovatively designed, the optimal space distribution of guide vanes is determined through three-dimensional flow field simulation, and a flow guide channel with the pressure gradient self-adaptive characteristic is formed. A real ship verifies that the propulsive energy consumption can be reduced by 10%-25%, the propulsive efficiency can be improved by 15%-30%, the cavitation effect is effectively restrained, vibration noise is reduced, and remarkable economic benefits and environmental protection values are achieved.

The invention belongs to the technical field of petroleum pipeline inner wall defect detection, and particularly relates to a petroleum pipeline inner wall defect detection system which comprises a pipe section division module, a wall thickness analysis module, a straight pipe section detection module and a bent pipe section detection module. Ultrasonic incident detection and eddy current scanning are synchronously carried out in areas with different wall thicknesses, eddy current and ultrasonic dual-mode detection are fused to generate a three-dimensional map containing defect boundary and depth information, a deposition risk area is divided on the basis of stress distribution of flow field simulation of a bent pipe section, an adaptive defect detection mode is adopted in different areas, and the defect detection accuracy of the bent pipe section is improved. Therefore, targeted detection of the defects of the inner wall of the petroleum pipeline is realized, missed identification is avoided to a great extent, and the completeness and reliability of defect detection can be greatly improved.

The invention relates to the technical field of press monitoring, in particular to a digital twinning-based three-dimensional monitoring system for a precision servo press, which comprises a physical layer sensing module for acquiring real-time operating parameters, environment variables and workpiece processing data of the press; the dynamic twin construction module constructs a total-factor digital twin, and simulates a force-heat-deformation coupling effect by using finite element analysis and a multi-body dynamics algorithm based on physical attributes and process parameters; the intelligent analysis center identifies a potential fault mode of the press machine and locates an abnormal source through multi-physics field simulation data in combination with an improved CNN-LSTM model; the three-dimensional visual interaction unit constructs an interactive immersive three-dimensional virtual scene, renders a running state and a processing process in real time, and generates a maintenance strategy; and the self-adaptive regulation and control unit predicts the residual life of the key component and dynamically adjusts parameters according to a maintenance strategy and real-time monitoring data. Therefore, the problems of single monitoring dimension, disjunction of maintenance strategies and the like in the prior art are solved.

The invention relates to the technical field of image classification, in particular to a training method and system of a cervical pathological image classification model based on multiple modes. The method comprises the following steps: acquiring a cervical tissue image and carrying out tissue structure segmentation, forming a nucleus-interstitial-epithelium three-distribution framework, collecting development historical data, confirming a prediction trend of each layer, carrying out environment field simulation through the image, generating a simulated cervical environment field, and carrying out hierarchical evolution prediction on the framework. Evolution mapping images are generated according to the evolution data and classified, finally, a visual basic model is obtained through combined modeling training, image-text fusion is achieved, and a cross-center deployment model system is generated. According to the method, vision-language combined modeling is realized, and the stability and controllability of the whole model structure in image space deformation modeling, semantic cross-modal alignment construction and task-level response flow scheduling are improved.

The invention relates to the technical field of reservoir bedrock anti-seepage grouting, and discloses a reservoir bedrock anti-seepage grouting method which comprises the following steps: acquiring fracture data through geological exploration, and constructing a reservoir bedrock fracture distribution model; simulating a flow path and permeability characteristics of the slurry in the fracture based on the fracture model; the grouting pressure and flow are determined through an optimization algorithm, and a grouting scheme is formulated; screening grouting materials according to fracture characteristics, and analyzing stress-strain and permeability of the grouting materials; a construction process is formulated, the grouting state is monitored in real time, and parameters are dynamically adjusted; and after grouting, carrying out permeation and pressure test to evaluate whether the curing effect reaches the standard or not. Based on the three-dimensional fracture structure modeling and flow field simulation technology, high-precision recognition and dynamic evolution tracking of the fracture permeation path in the complex rock mass of the reservoir bank are achieved, so that grouting hole layout is more accurate, the slurry flow direction is more controllable, and the method is different from a point-selecting grouting mode of a traditional empirical method.

The invention discloses an intelligent management system and method applied to a radio frequency energy output device, and belongs to the technical field of intelligent management of the radio frequency energy output device.An integrated sensor array is deployed on a radio frequency host and a hand tool electrode, and load voltage, output current, electrode temperature and tissue impedance are synchronously collected; a dynamic thermal impedance collaborative analysis model is constructed after time synchronization alignment, a three-dimensional thermal field simulation map is generated, and a thermal accumulation trend is predicted; a double-layer control framework is constructed, a first control layer generates a dynamic power adjustment rule base based on a preset treatment target and a safety threshold value and outputs an instruction, a second control layer receives the instruction and adjusts output parameters in real time, and a strategy is adjusted by combining a model prediction result in the execution process; meanwhile, the operation state is continuously monitored, a fault classification model is constructed for anomaly detection, a fault source is positioned, and a visual report is generated; and finally, constructing a mapping relation based on historical data, and generating an energy control scheme adapted to individualized requirements through iterative optimization.

The invention discloses a laser processing parameter autonomous generation system and method based on digital twinning, and relates to the field of digital twinning, and the method comprises the steps: collecting and preprocessing processing data in real time through a multi-source sensor; processing and analyzing the task instruction by using a natural language, extracting a constraint condition and forming a structured demand; a processing parameter candidate set is generated through a Transform model in combination with historical data transfer learning, and virtual processing is performed by means of multi-physics field simulation; an improved non-dominated sorting genetic algorithm is adopted to dynamically optimize the parameter weight, and a global optimal parameter combination is obtained through digital twin iteration verification; and after full-process virtual processing verification and task demand comparison, parameters are adaptively corrected, and model parameters are continuously optimized according to physical and simulation data deviation after actual processing. The method has the advantages that the digital twin is used as a core, multi-source real-time data, the AI algorithm and multi-physical field simulation are fused, and autonomous generation, multi-target optimization and virtual-real closed-loop iteration of laser processing parameters are achieved.

The invention provides a double-pulse high-frequency switching power supply control method and system for precise electroplating, and relates to the field of electroplating, and the method comprises the steps: collecting area surface data through a three-dimensional scanner, and obtaining a three-dimensional model; extracting a high-curvature area grid according to the three-dimensional model, and calculating to obtain a surface concave-convex degree index; performing current field simulation, and calculating current density vector distribution; when the deviation of the current density vector distribution exceeds a preset deviation threshold value, pulse parameters are optimized through a genetic algorithm; selecting a pulse parameter which is most matched with the surface concave-convex degree index, and carrying out iterative calculation to obtain updated current density vector distribution; based on the difference between the updated current density vector distribution and the initial distribution, predicting a coating thickness value, and determining a preliminary evaluation index; and optimizing pulse parameters to obtain a final control scheme of uniform current distribution. According to the method, pulse parameters can be dynamically optimized according to the geometrical shape of the workpiece, and uniform current distribution and stable plating quality are realized.

The invention provides a dry-type transformer turn-to-turn short circuit multi-physical field simulation analysis method considering insulation aging and harmonic influence, and relates to the technical field of simulation analysis, and the method comprises the following steps: constructing a physical simulation model of a to-be-tested dry-type transformer; setting physical parameters and multi-physical field operation conditions of the physical simulation model; calculating a corresponding physical field operation calculation result under each physical field operation condition; performing post-processing on the physical field operation calculation result; by establishing a detailed simulation model and accurately assigning physical property parameters of each component, physical property changes of the turn-to-turn insulating material at different aging stages and under different temperature and frequency conditions are emphatically considered; turn-to-turn short circuit fault modeling is further introduced, magnetic-thermal-flow coupling simulation calculation is carried out under multi-harmonic excitation, the multi-physical field distribution characteristics of the dry-type transformer during different turn-to-turn short circuit faults are explored, and a reliable basis is provided for design optimization and safety evaluation.

The invention relates to the technical field of equipment intelligent diagnosis, in particular to a generator digital twinning diagnosis method based on temperature field online simulation, which comprises the following steps: respectively constructing a three-dimensional virtual model, a temperature field simulation model and an intelligent agent diagnosis model; the digital twin is in data connection with the physical entity; data alignment is achieved through a unified space-time coordinate system, a mapping relation is established between a vertex of the three-dimensional virtual model and a grid node in the temperature field simulation model, and a fault probability matrix output by the intelligent agent diagnosis model is matched to a three-dimensional grid of the three-dimensional virtual model through spatial interpolation; according to a fault probability output by the intelligent agent diagnosis model, correcting a boundary condition of the temperature field simulation model, triggering local grid adaptive encryption of the temperature field simulation model, and marking a fault position in real time through a three-dimensional virtual model; and the simulation result of the temperature field simulation model verifies the fault probability output by the intelligent agent diagnosis model. Through the method, the fault identification accuracy can be effectively improved.

The invention discloses a polylactic acid injection molding mold based on a gradient heat conduction composite structure and a heat management method thereof, and belongs to the technical field of high polymer material molding processing equipment.The polylactic acid injection molding mold comprises a) a surface high heat conduction layer which is made of a copper-based composite material, has the heat conduction coefficient larger than or equal to 400 W / m.K and is used for rapidly and directionally transferring heat to the surface of a mold cavity; and b) an intermediate transition layer composed of a titanium alloy porous structure. High-efficiency production is realized through innovative design and advanced technology. Integrated metallurgical bonding of the gradient heat conduction structure is achieved through the selective laser melting technology, and the heat flow directivity is enhanced; the dual-mode cooling system is combined with closed-loop temperature control, and the temperature is accurately regulated and controlled; the high-performance material improves the comprehensive performance of the mold; and the structural stability is guaranteed through accurate technological parameters. According to the thermal management method, through multi-physical field simulation optimization, rapid heating and cooling are achieved, the forming period is shortened to 16-18 seconds, the calculation efficiency is improved by 80%, and the production efficiency and the product quality are effectively improved.

The invention provides an electric energy metering box temperature field simulation analysis method based on finite elements, and relates to the technical field of electrical equipment fault diagnosis. The method comprises the following steps: constructing a three-dimensional structure model considering asymmetric layout and material attributes of internal elements; identifying key heating elements and establishing a dynamic heat source; constructing an unsteady state heat conduction model by combining a Fourier law and an energy conservation equation; setting environment related boundary conditions; and outputting a temperature distribution diagram and an abnormal hot spot early warning result, thereby realizing accurate modeling and risk pre-judgment of the thermal behavior of the electric energy metering box.

A multi-physics computation method and system for digital twin online simulation, relating to the technical field of physics simulation. A multi-physics coupling simulation computation model of a simulated object is established, and the multi-physics coupling simulation computation model is simplified, and the order of a temperature field simulation model is reduced, thereby greatly reducing the amount of computation, and improving computational efficiency; a low-precision dataset is obtained by means of temperature field analysis, so that the data size required for a model is reduced by means of low-precision data, thus reducing modeling costs; and a basic data-driven model is constructed by means of the low-precision dataset and a sample space corresponding to the low-precision dataset, so that a temperature field distribution result can be rapidly outputted, further improving computational efficiency and reducing computational errors.

The invention discloses a high-precision and high-reliability harmonic reducer tooth profile simulation machining design method, and belongs to the field of precision transmission. A composite cycloid flexible gear tooth profile is designed by establishing a harmonic reducer geometrical relationship model, deducing a flexible gear deformation equation, an accurate rotation angle relationship and a meshing theory based on an envelope method, and a conjugate region and a conjugate tooth profile are calculated by utilizing MATLAB. Actual deformation and theoretical deformation errors of the flexible gear are analyzed through finite element simulation, flexible gear profile parameters are optimized, an actual neutral layer curve is generated, and then a rigid gear profile is enveloped and calculated. The tooth profile design adopts a non-zero inclination angle composite cycloid, so that the meshing area is expanded by more than 30%, and the maximum stress of the flexible gear is reduced by 22.75% in combination with a linear modification method and a finite element modification method. In addition, through a multi-physical field simulation verification system (including static deformation, dynamic contact and fatigue life prediction) and a neural network optimization tooth shape parameter, the transmission performance is remarkably improved. According to the method, the torsional rigidity can be improved by 66%, and the transmission error is controlled within a high-precision range.

The invention relates to the technical field of transformer simulation, in particular to a simulation system and method for a temperature rise field of a dry-type transformer. The method comprises the following steps: acquiring geometric parameters of an iron core lamination of the dry-type transformer to be simulated, spatial arrangement information of a winding and a positioning relation of an insulating component to form structural design data; the method comprises the following steps: constructing three-dimensional geometric modeling data based on structural design data, importing the three-dimensional geometric modeling data into a finite element electromagnetic simulation platform, setting a power-on condition of an excitation winding, and applying rated current or voltage, so as to obtain local magnetic flux density distribution data at each iron core lamination position in a whole operation period. According to the method, on the basis of three-dimensional structure data, three physical processes of an electromagnetic field, a thermal field and a fluid field are fused, a high-precision local heat source model and a dynamic temperature rise prediction model are constructed, and geometry-material-boundary all-parameter modeling is achieved from the whole structure of an iron core lamination, a winding and an insulation assembly.

The invention discloses a multi-physics field simulation method, device and equipment for a large-current connecting piece and a storage medium, and discloses the multi-physics field simulation method for the large-current connecting piece, and the method comprises the steps: carrying out the dynamic simulation of a contact process through a dynamic simulation model of the large-current connecting piece, and determining a dynamic simulation result; and determining a first state geometric model of the large-current connecting piece and a contact pressure function of each contact surface according to a dynamic simulation result, and further performing multi-physics field coupling simulation on the large-current connecting piece in a contact state to obtain a multi-physics field simulation result. According to the mode, when force-electricity-heat multi-physical field joint simulation is carried out on the large-current connector contact element, dynamic simulation is carried out firstly, electrothermal coupling simulation in a contact state is carried out based on a simulation result, and the simulation process is disassembled, so that the convergence and stability of simulation calculation are improved; and reliable information is provided for subsequent design optimization of the large-current connecting piece.

The invention provides a method and a system for digital twinborn construction and multi-performance real-time evaluation of equipment, the core of the method is to construct a digital twinborn body of the equipment and develop a multi-performance real-time evaluation agent model, and the method comprises the following steps: constructing a multi-field simulation virtual prototype of the equipment based on a joint simulation technology; various performance indexes of the equipment are comprehensively presented through simulation analysis; the model of the virtual prototype is combined with sensing data, and after visualization processing, a digital twinborn body capable of reflecting direct observation information of equipment is constructed; a robust agent model construction strategy is provided, and batch joint simulation data is adopted to train the model, so that the indirect performance index of the equipment can be accurately evaluated; sensor data for collecting working conditions in real time and an agent model for evaluating performance in real time are integrated in a digital twinborn body, and a model-data dual-drive performance evaluation mechanism is formed.

The invention discloses an oil-immersed transformer fault deduction characterization method and system based on multi-physics field simulation, and the method comprises the steps: firstly building a 110 kV oil-immersed transformer multi-physics field twin model through SOLIDWORKS and COMSOL, precisely setting boundary conditions and material attributes, and constructing a coupling multi-physics control equation set to solve a reference distribution field; thirdly, constructing a fault sensitive area monitoring mapping model, and screening monitoring point positions; meanwhile, a typical fault simulation database is built, and multiple disturbance types are covered. Simulation and actual measurement data are integrated through a multi-modal feature fusion model, and a future state is predicted by means of a state deduction model based on time sequence prediction. In addition, a self-adaptive degradation perception and model correction mechanism is introduced, so that the prediction credibility is improved. According to the method and the corresponding system, the fault can be deduced efficiently, powerful technical support is provided for fault diagnosis and maintenance of the oil-immersed transformer, and stable operation of a power grid is facilitated.

The invention discloses a multi-parameter ultrahigh frequency sensor performance comprehensive evaluation method, which belongs to the technical field of sensor performance evaluation, and effectively breaks through the limitation of the traditional static test on a transient interference response blind area through a dynamic interference field simulation test and an original fidelity-false triggering joint evaluation model. The adaptive adjustment mechanism of the multi-source interference field can vividly simulate the space-time non-uniform characteristic of electromagnetic noise in an industrial field, and in combination with a time-frequency domain composite evaluation algorithm, not only is the signal distortion degree of the sensor in typical interference modes such as frequency sweeping and pulse train quantified, but also the error action acceleration rule caused by high-frequency-band noise coupling is disclosed. The dynamic immunity evaluation capability enables a designer to accurately position the electromagnetic shielding weakness of the sensor, optimizes a front-end filter circuit or a signal processing algorithm in a targeted manner, and remarkably improves the reliability of a product in strong interference scenes such as radar detection and wireless communication.

The invention relates to the technical field of torque converters, in particular to a hydrodynamic transmission power chain optimization method and system.The method comprises the steps that a hydrodynamic torque converter parameterized geometric model is built, and a pump impeller blade outflow angle, a guide wheel runner input / output angle, turbine blade geometric parameters and the relative position of a pump impeller and a turbine are set as design variables; based on CFD three-dimensional flow field simulation, a k-epsilon model is adopted for rapid analysis, an SST model is adopted for transient simulation, and simulation data under different variable combinations are obtained; training a BP neural network by using the simulation data, inputting each design variable, and constructing a multi-target optimization model with maximization of efficiency and minimization of noise as targets; a design variable combination is selected in the Pareto optimal solution set, a model is reconstructed, and an optimized hydraulic torque converter is obtained; according to the method, the problems that the design optimization efficiency of the hydraulic torque converter is low, the parameter adjusting period is long, and good compromise between the transmission efficiency and noise suppression is difficult to obtain can be solved.

The invention relates to the technical field of bridge engineering intelligent construction, discloses a digital twinborn and multi-physics field simulation-based lattice pier assembly error intelligent prediction method, and aims to construct a lattice pier assembly error prediction model. The lattice pier assembly error prediction model is composed of a channel independent feature extraction module of multi-physics field data, a self-adaptive space-time coupling and multi-factor dynamic fusion module and a training lattice pier assembly error prediction model, the multi-physical field data channel independent feature extraction module maps data of each physical field to a high-dimensional feature space through calculation, and according to a state space model, the adaptive space-time coupling and multi-factor dynamic fusion module introduces a plurality of factors to dynamically adjust weights of the physical fields in different time steps. Carrying out adaptive fusion on the processed physical field data through a space-time coupling function to obtain coupled physical field data; and finally, taking the output of the two as the input, and combining a regression model to predict the lattice pier assembly error.

The invention discloses a safe penetration type management method and system for an engineering construction project, and relates to the technical field of constructional engineering, and the method comprises the steps: collecting engineering entity data in real time, carrying out the preprocessing, and generating an engineering state vector; based on the engineering state vector, constructing a digital twinborn model, calling multi-physics field coupling simulation to simulate the whole construction process, and generating a risk early warning report; uploading the risk early warning report and historical construction data to a federated platform, and constructing a dynamic security knowledge graph; performing hierarchical feature learning on nodes in the dynamic security knowledge graph, simulating decision behaviors of a manager, and generating an optimal management and control rule; based on the optimal management and control rule, driving a construction site management mechanism to operate, and forming a closed loop report; by using the digital twin model and the multi-physics field simulation technology, the accurate prediction of potential safety hazards possibly occurring in the construction process is realized, and the accuracy and timeliness of risk early warning are greatly improved.

The invention provides a bearing / heat exchange integrated outer duct heat exchanger structure and a design method thereof. The design method mainly comprises the steps of heat exchanger three-dimensional modeling design, computational fluid dynamics optimization design and steady-state thermal stress analysis, three-dimensional modeling software is used for designing an inner flow channel structure and an outer fin structure of an outer duct air heat exchanger, and finite element software is imported. The method comprises the following steps: dividing grids, establishing a finite element model, setting a turbulence model, adding boundary conditions of the external duct heat exchanger, performing fluid flow and heat transfer simulation in the heat exchanger to obtain a fluid dynamic model of the external duct heat exchanger, transmitting temperature field simulation data to the finite element model, and performing steady-state thermal stress simulation to obtain a stress distribution nephogram. And structural performance evaluation is performed in combination with strength analysis. According to the method, the simulation efficiency can be improved on the premise that the simulation precision is not lost, organic combination of design / performance is achieved, and theoretical guidance is provided for structural design of the bearing / heat exchange integrated outer duct heat exchanger.

The invention discloses a reclosing locking method and system based on winding hot-spot temperature fitting, and relates to the technical field of power transformer dynamic stability assessment, and the method comprises the steps: determining a target transformer, collecting parameters, building a winding current calculation model, calculating steady-state and short-circuit current waveforms, and carrying out the winding temperature rise test of the transformer, the method comprises the following steps: measuring a steady-state temperature rise value, constructing and correcting an electromagnetic heat flow coupling model, generating steady-state and transient-state temperature field data of a winding, constructing a target function of a winding hot-spot temperature, fitting simulation data by utilizing an optimization algorithm, obtaining a fitting function, calculating a winding stress value under a short-circuit working condition in real time, and comparing the winding stress value with a dynamically adjusted stress limit value, so as to obtain a winding stress value. Alarm and locking reclosing are triggered according to the result, and intelligent protection of the transformer is achieved. According to the invention, through accurate parameter acquisition, model establishment, temperature field simulation, hot-spot temperature fitting and stress calculation, real-time monitoring and intelligent protection of the transformer winding under the short-circuit working condition are realized.

The invention belongs to the technical field of metal matrix composite materials, and relates to a tungsten-copper three-dimensional orthogonal woven composite material and an intelligent design method thereof.The composite material comprises a space interwoven network structure formed by tungsten fiber skeletons arranged in the X orthogonal direction, the Y orthogonal direction and the Z orthogonal direction, and the tungsten fiber skeletons are wrapped by a copper matrix to form a three-dimensional heterogeneous composite system; the method comprises the following steps: generating a composite material structure based on parametric modeling, acquiring mechanical and electrical performance data by utilizing finite element and multi-physics field simulation, and constructing a structure-performance data set; performing performance prediction by adopting three types of machine learning models, namely ANN, SVR and LightGBM, and determining an optimal model in combination with Bayesian optimization; performing parameter reverse screening based on the optimal agent model, screening a structural combination meeting performance constraints, and constructing a closed-loop optimization process through simulation verification and model iteration; according to the method, efficient design and accurate performance prediction of the composite material structure can be realized, and the method is suitable for high-performance electromagnetic structural materials.

The invention provides a mixed reality industrial simulation training system which is composed of a space fusion perception unit, a multi-physics field simulation unit, a cooperative training management unit and a self-adaptive teaching engine. The space fusion sensing unit is composed of a real-time environment modeling and positioning subsystem and a physical interaction detection algorithm, and the real-time environment modeling and positioning subsystem dynamically constructs a three-dimensional space coordinate system of a real industrial scene through a visual sensor array and a radio frequency scanning device; generating a pose matrix of the virtual equipment model in the perspective display interface; the physical interaction detection algorithm realizes contact force feedback between virtual and real objects based on dynamic solution of collision volume, and when an operator triggers a virtual switch through a handheld controller, a real equipment control signal is synchronously driven; the multi-physics field simulation unit comprises a physical engine core module and a fault injection interface.

The invention discloses a micro-grid group power cooperative scheduling method and device, and relates to the technical field of data encryption, and the method comprises the steps: constructing a space-time coordinate frame on a regional master control node, and obtaining a configuration file through importing a power grid historical operation data package and an inverter parameter; calculating an impedance value suitable for the current power grid state according to the frequency deviation, the cost change and the voltage fluctuation of the power grid, and constructing an impedance matrix containing an adjustment instruction; inputting the impedance matrix into a quantum-eagle swarm algorithm to perform global search to generate an optimized scheduling plan curve, making a preliminary scheduling plan according to the scheduling plan curve, performing local optimization adjustment based on the power grid operation deviation monitored in real time, outputting a three-level scheduling instruction set, and performing scheduling on the power grid operation deviation. Performing feasibility verification and confirmation on all the scheduling instructions to generate an execution instruction packet; the edge gateway receives the execution instruction packet and converts the execution instruction packet into a control instruction; and inputting the control instruction into the multi-physics field simulation model, and outputting a simulation result data set.

The invention discloses a real-time motion control algorithm simulation debugging method, which relates to the technical field of real-time simulation crossing, and comprises the following steps of: acquiring real-time track data and multi-scale simulation parameters and preprocessing the real-time track data and the multi-scale simulation parameters; based on the multi-scale simulation parameters, a multi-scale simulation environment is constructed, and multi-physics field coupling control parameters are obtained; performing multi-physical field simulation according to the real-time trajectory data in a multi-scale simulation environment, and obtaining trajectory error data with a safety verification identifier; based on the trajectory error data with the security identifier, filtering out high-frequency components and separating low-frequency contour deformation components by adopting empirical mode decomposition to obtain low-frequency contour deformation features; and based on the optimal parameter adjustment instruction set, updating the multi-physics field coupling control parameters in real time and generating a simulation debugging report. According to the invention, a multi-scale simulation environment is constructed, dynamic configuration and synchronous simulation of multi-physical field coupling control parameters are realized, and a high-fidelity virtual test platform is provided for motion control under complex working conditions.