226 results about "Multiphysics" patented technology

The invention discloses an automatic control method and system for secondary granulation of a high-voltage zinc oxide resistor disc, relates to the technical field of intelligent manufacturing of power equipment, and solves the problems of out-of-control particle morphology caused by dynamic coupling parameter identification lag and control instability caused by multi-physical field parameter coupling in an existing method. According to the invention, a dynamic physical property parameter matrix is generated in real time based on multi-band dielectric relaxation spectrum analysis and terahertz wave tomography; predicting a fluidized phase change threshold value and an energy gathering area through multi-physics field coupling modeling; a time sequence attention deep reinforcement learning algorithm is adopted to generate a multi-field cooperative adjustment instruction; positioning a parameter conflict source and triggering decoupling compensation by combining a high-frequency vibration and acoustic emission combined monitoring module; performing closed-loop correction on the control network weight based on the laser spectrum data and a partial least squares regression model; the real-time performance of fluidization parameter identification, the stability of multi-field coupling control and the recovery efficiency of abnormal working conditions are remarkably improved, and meanwhile the batch consistency of the electrical performance of the resistor discs is guaranteed.

The invention relates to the technical field of fluid pipeline topological optimization, in particular to a fluid pipeline topological optimization design method based on a parameter simulation model. The method comprises the following steps of performing parametric modeling on a fluid pipeline to obtain a pipeline topology geometric parameter set; according to topological feature identification of the pipeline topology geometric parameter set, obtaining pipeline topology description data; constructing a multi-physics field equation set according to the pipeline topology description data to obtain a pipeline coupling field basic equation set; carrying out characteristic decomposition on the pipeline coupling field basic equation set to obtain a pipeline decoupling equation set; performing iterative solution on the pipeline decoupling equation set to obtain a pipeline multi-physics field coupling solution; performing sensitivity coefficient evaluation according to the pipeline multi-physics field coupling solution to obtain pipeline physics field sensitivity; and performing time domain integral response analysis on the pipeline physical field sensitivity to obtain the contribution degree of the pipeline physical field. According to the method, the deviation between the topological design and the practical application of the fluid pipeline can be obviously reduced.

The invention relates to an oil bearing carrying capacity evaluation method based on virtual simulation, and the method comprises the steps: obtaining working condition data samples of an oil bearing in a plurality of typical operation states under a complex working condition of a composite load, and carrying out the marking of bearing structure partitions, so as to build a working condition partition mapping table; establishing a multi-physics field sensitive area identification model for each partition, and performing dynamic parameter adjustment on the global finite element model and the local high-precision infinitesimal sub-model by using a multi-physics field coupling calibration factor; and performing time sequence feature extraction on a multi-physical field joint simulation result after dynamic parameter adjustment to obtain a multi-dimensional parameter sequence related to the typical failure mechanism of the oil bearing.

The invention relates to the technical field of material testing, and discloses a coating performance simulation method based on high and low temperature circulation and prestress loading. The method comprises the following steps: constructing a coating matrix composite geometric model containing a microporous structure by acquiring actually measured working condition data of a pipeline or a part, and quantifying surface roughness and interface curvature characteristics in combination with reverse engineering; a dynamic temperature-pressure coupling equation is generated based on the thermal expansion effect of a high-pressure medium, a micropore optical load is converted into equivalent heat flux density through a ray tracing algorithm, transient boundary conditions of a temperature field and a stress field are associated, a crack initiation path is simulated through an extended finite element method, and a life attenuation curve is predicted in combination with a Paris formula. And material parameters are dynamically corrected based on experimental data, and a multi-parameter collaborative optimization model is generated. According to the method, the problems of interface stress evaluation distortion and life prediction deviation under the combined load are solved, and multi-physics field co-simulation support is provided for coating compression resistance optimization.

The invention provides a multi-physics field cooperative regulation and control method in coal mine rock burst prevention and control, and relates to the technical field of coal mine rock burst prevention and control, and the method comprises the steps: synchronously collecting stress field, fracture field and vibration wave field data in real time through a distributed optical fiber sensor network and a micro-seismic monitoring system, and constructing a dynamically updated three-dimensional geomechanical model; based on an adaptive Kalman filtering algorithm, noise reduction multi-source data are fused, a dynamic stress concentration factor and an energy accumulation critical index are extracted, and a rock burst risk probability model is established; a multi-objective optimization algorithm is adopted to generate graded regulation and control instructions of grouting reinforcement, mining speed adjustment and pressure relief drilling, and the graded regulation and control instructions are executed in real time; and iteratively optimizing the model weight by using a transfer learning algorithm in combination with a historical case library to form a closed-loop feedback adaptive prevention and control system. According to the method, the analysis precision of rock mass fracture evolution under complex geological conditions is improved through multi-physics field collaborative perception and dynamic modeling, and risk quantification and real-time regulation and control are realized through multi-algorithm coupling analysis.

The invention discloses an electronic product performance intelligent test system. The electronic product performance intelligent test system comprises an enhanced digital twinning and multi-physics field modeling system, a multi-modal perception fusion and intelligent test planning engine, a deep fault diagnosis and predictive health management feedback optimization module and a comprehensive optimization objective function framework. An intelligent and integrated test and evaluation system capable of comprehensively improving the test efficiency, the test coverage, the fault early warning capability and the product reliability can be realized.

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 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 belongs to the technical field of tunnel engineering, and provides a multi-physics field real-time assimilation simulation and regulation method and system in a tunnel grouting process in order to solve the problem that real-time dynamic simulation and automatic regulation are lacked in existing tunnel construction, and the real-time assimilation simulation and regulation method and system in the tunnel grouting process are provided by utilizing ensemble Kalman filtering and combining real-time monitoring data in the tunnel grouting process. Dynamically correcting parameters of the multi-physical model; time correlation in the slurry condensation process is considered, a time-varying condensation model depicting physical property changes of slurry evolving along with time is integrated, the time-varying condensation model serves as an external function in the time step length to be embedded into the multi-physical field model in correction, and the slurry flowing state is adjusted in a self-adaptive mode through numerical simulation; and generating control parameters of tunnel grouting according to a dynamic simulation result, and realizing closed-loop regulation and control of tunnel grouting. Synchronous linkage of numerical simulation and on-site working conditions is realized.

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 relates to the technical field of geological disaster early warning, and discloses a geological disaster early warning device, which comprises an acoustic electromagnetic fusion sensor array for collecting multi-physical field data related to the internal structure change of a rock-soil body; the data pre-processing and feature extraction module is used for performing pre-processing and feature extraction on the original multi-physics field data so as to identify the change features of the internal structure of the rock-soil body; the multi-physics field collaborative inversion module reconstructs the internal structure distribution of the rock-soil body by adopting a multi-physics field collaborative inversion algorithm; the structure change cause analysis and risk assessment module is used for analyzing causes of internal structure change of the rock-soil body and assessing potential geological disaster risks; the grading early warning information generation module is used for generating targeted grading early warning information; according to the invention, high-precision monitoring of the internal structure change of the rock-soil body is realized through an acoustic electromagnetic fusion sensing technology, the monitoring precision is improved, and possible landslide or collapse events can be predicted in advance.

The invention discloses a PCB circuit microdefect real-time detection algorithm optimization method based on artificial intelligence, and relates to the field of printed circuit board monitoring, and the method comprises the steps: collecting multi-physical field data including a temperature field, a stress field, current density distribution and corrosion medium concentration in real time; generating time-space synchronous multi-modal fusion data; quantifying a thermal-mechanical-electric-chemical field interaction relationship through an inter-field coupling coefficient matrix; generating a four-dimensional synergistic effect matrix through tensor fusion; and based on the four-dimensional synergistic effect matrix, in combination with a spatio-temporal evolution diagram output by the carbonization path prediction model, establishing a three-dimensional mapping relationship among the crack size, the carbonization path and the material residual strength, and predicting a residual life prediction value. The method has the advantages that through real-time synchronous fusion of multi-physical field data and tensor coupling modeling, accurate tracking of a crack propagation path and dynamic evaluation of the residual life are achieved, the detection sensitivity is improved, and the life prediction error is reduced.

The invention belongs to the technical field of underground disaster monitoring, and provides a tunnel pipe gallery disaster monitoring method and system based on multi-physics field coupling, which uses multi-physics field data for monitoring, can capture various subtle changes of soil bodies inside and around an underground tunnel / pipe gallery, and improves the monitoring accuracy of the underground tunnel / pipe gallery. Accurate data are provided for building of a tunnel / pipe gallery project disaster model and disaster prediction, the method is more reasonable compared with traditional single physical quantity monitoring and analysis, the situation that potential safety hazards are difficult to find due to incomplete data is greatly reduced, and the safety detection efficiency of underground engineering is remarkably improved; on this basis, time step alignment is carried out on the data, discrete multi-physical field data is mapped into continuous physical field distribution based on Kriging spatial interpolation, a seepage-mechanics-thermodynamics coupling equation is established to calculate and predict the settlement amount, and a reduced-order model algorithm is utilized to optimize the calculation time of more than 10 h of traditional data coupling calculation to be within 5 min.

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.

A method for predicting in-situ leaching effects of sandstone-type uranium mining deposits after blasting is provided, which comprises: based on a finite element analysis platform, establishing an HJC rock-blasting constitutive model, and carrying out a blasting numerical simulation; calibrating a cloud map of blasting crack damage by using a Kriging interpolation algorithm; establishing a COMSOL multiphysics model; establishing a coupling interface between the COMSOL multiphysics model and PHREEQC based on MATLAB, and optimizing a cycle duration and a time step; performing a geochemical reaction calculation and saving results, running COMSOL files, and inputting the results of geochemical reaction calculation into PHREEQC to obtain a dynamic cyclic iterative simulation; dynamically correcting migration coefficients of uranyl complexes by integrating an LSTM neural network, and stopping the cycle to output multi-scale dynamic simulation results of migration of uranium.

The invention provides a fault diagnosis system based on multi-physics field data fusion, and the system comprises a multi-physics field data fusion module which is used for constructing a four-dimensional tensor input matrix, and carrying out the fusion of multi-physics field features; the fault knowledge graph construction module is used for constructing a fault knowledge graph; and the fault diagnosis module is used for performing similarity matching on the fused feature vector and a fault knowledge graph, judging a fault type, positioning a fault position and evaluating the severity of the fault. According to the technical scheme, accurate and real-time diagnosis of faults of the energy storage equipment is realized, and the reliability and the safety of operation of the energy storage equipment are improved.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention relates to the technical field of data mining, in particular to a software operation and maintenance method and system. The method comprises the following steps: acquiring engineering simulation heterogeneous hardware data, and performing multi-physics field coupling tensor compression to obtain a multi-physics field topology snapshot; finite element grid nonlinear constraint is executed based on the multi-physics field topology snapshot, and a nonlinear contact strategy tensor is obtained; according to a non-linear contact strategy tensor coding structure dynamics intelligent contract, simulation software dynamics credibility verification is carried out, and a dynamics credible chain is obtained; constructing a hydrodynamic vortex model based on the dynamic trusted chain, and performing boundary layer separation simulation flow optimization on the hydrodynamic vortex model to obtain a vortex flow field map; performing explicit dynamic explicit integration on the vortex flow field atlas to obtain a convergence optimization field; and performing phase field damage evolution according to the convergence optimization field to obtain a multi-physics field evolution twinborn body, and deploying the multi-physics field evolution twinborn body. The method can effectively improve the utilization rate of software computing resources.

The invention discloses an intelligent metasurface design method fusing neural architecture search and multi-physics field coupling optimization. According to the method, a systematic process from high-dimensional parameter definition, coupling finite element simulation to multi-level agent model and multi-target genetic optimization is constructed: on one hand, complex coupling response of electromagnetic, mechanical and thermal fields is accurately described by means of a high-fidelity finite element means; and on the other hand, multi-layer neural network fast approximation and physical perception architecture search (Physics-Informed NAS) are combined, so that the dependence on expensive simulation during large-scale optimization is greatly reduced. Through multi-scale decomposition and a multi-target genetic algorithm (in combination with Pareto frontier analysis), balance is found between a global range and local details, and finally an efficient and flexible global optimization scheme is provided for multi-physics field collaborative design of the electromagnetic metasurface.

The invention provides a coupling space-spectrum conversion operator transformer multi-physics field distribution prediction method and system, and the method comprises the steps: mapping the initial condition distribution of multi-physics field distribution to a potential space of a unified dimension through independent linear transformation, generating an initial potential feature vector, and carrying out the prediction of the initial potential feature vector; performing spatial expansion on the cross-field coupling state of the multi-physical field distribution in combination with the GRU, splicing the obtained current global cross-field coupling state and the current potential feature input, and obtaining the potential feature input of the next layer of the GRU through a space-spectrum conversion operator layer; and inputting the potential features of all the current physical field distribution and the global cross-field coupling state into a GRU unit, updating the cross-field coupling state including cross-physical field interaction, minimizing weighted error optimization parameters of a physical field distribution prediction result, inversely mapping the reconstructed final potential features to a target space, and generating the prediction result of the physical field distribution. The method has higher generalization ability, the modeling precision is improved, and the calculation complexity is reduced.

The invention discloses a water gate structure safety monitoring system and method, belongs to the technical field of computer communication, breaks through isolated parameter monitoring limitation, constructs multi-physics field dynamic coupling analysis capability, carries out deep fusion processing on multi-source data, improves data reliability and defect identification precision in a complex environment, and improves the safety of the water gate structure. And the use effect of real-time quantitative evaluation of the structural state is realized by utilizing the technical means of dynamic model inversion and parameter calibration, that is, a stress-deformation-leakage three-dimensional finite element coupling model is constructed, dynamic calibration of material parameters and real-time inversion of the structural state are realized in combination with long-term monitoring data, the limitation of isolation of traditional monitoring is broken through, and the real-time quantitative evaluation of the structural state is realized. And a more accurate technical support is provided for water gate safety assessment.

The invention aims to provide a mutual inductor fault prediction and judgment method based on an offshore wind power system, and solves the problems faced by a mutual inductor in offshore wind power. In order to achieve the purpose, according to the mutual inductor fault prediction and judgment method based on the offshore wind power system, a multi-physics field joint simulation model is constructed according to the operation condition of an existing offshore wind generating set, LSTM-Kalman hybrid algorithm iterative optimization is completed, implementation is carried out on the offshore wind generating set based on the hybrid algorithm iterative optimization result, and the mutual inductor fault prediction and judgment method based on the offshore wind power system is obtained. A hardware system is upgraded, and finally fault prediction is achieved through the multi-physics field joint simulation model. Aiming at the technical problem of offshore wind power ferromagnetic resonance prediction, the invention provides a closed-loop solution integrating hardware transformation, an intelligent algorithm and system verification. Problems possibly encountered in the mutual inductor are predicted by establishing a model and are automatically processed; and an offshore wind power fault prediction prevention and control system with environment self-adaption, fault pre-judgment and decision self-evolution is formed.

The invention relates to the field of pile structure damage evolution, in particular to a soft soil foundation pile structure damage evolution prediction method and system, and the method comprises the steps: obtaining soft soil foundation investigation information; determining a spiral groove design scheme according to the soft soil foundation investigation information, wherein a spiral groove is used for installing an optical fiber composite cable; acquiring multi-physical field information according to the optical fiber composite cable, wherein the multi-physical field information comprises data corresponding to a mechanical field, a seepage field, a temperature field and a chemical field; obtaining construction record information; constructing an initial damage field according to the construction record information; according to the method, the spiral groove design is determined through investigation, the optical fiber composite cable is used for obtaining the multi-physics field data, the initial damage field is constructed in combination with construction records, and damage evolution analysis on the soft soil foundation pile structure is achieved. The data comprehensiveness and accuracy can be improved, the construction disturbance influence is quantified, and a scientific basis is provided for safety assessment and maintenance of the soft soil foundation pile structure.

The invention discloses a hypersonic flow instability multi-field coupling prediction method and system, and relates to the technical field of modern high-speed aircraft design, and the method comprises the steps: obtaining the multi-physical field parameter distribution of a hypersonic flow field; based on a shock wave-boundary layer interaction mechanism, constructing an instability sensitive graph data structure by taking multi-physical field parameters as input, setting graph nodes in a shock wave influence region, a boundary layer region and an intersection region thereof, and calculating connection weights among the nodes; performing multi-scale decomposition on the instability sensitive graph data structure, and extracting instability modes of a shock wave scale, a vortex scale and a molecular scale; screening the instability modes by adopting a hypersonic velocity stability criterion, and determining a dominant instability mode; and constructing an instability evolution prediction model based on the dominant instability mode, and outputting a spatio-temporal evolution rule of hypersonic flow instability. According to the method, the problem that the flow instability phenomenon in the hypersonic velocity complex multi-physical field environment is difficult to accurately predict can be solved.

The invention discloses a grounding grid electric heating power multi-field coupling modeling method and system considering soil nonlinear breakdown, and belongs to the technical field of power system grounding grids. The method comprises the following steps: establishing a three-dimensional geometric model containing a soil domain and a grounding grid conductor; defining non-linear conductivity characteristics of the soil; setting multi-physical field parameters and corresponding boundary conditions of the three-dimensional geometric model; and establishing a multi-physical field coupling control equation set including an electric field equation, a heat conduction equation and a thermal stress equation, and solving by adopting a finite element method to obtain three-dimensional space distribution data of the grounding grid under lightning current impact. According to the invention, on the basis of fully considering the nonlinear breakdown characteristic of the soil, the accurate simulation of the electric heating power multi-physical field behavior of the grounding grid under the impact current effect is realized, and the accuracy of impact impedance, potential distribution and temperature rise prediction is obviously improved.

The invention discloses a production decision adaptive optimization method and system, particularly relates to the technical field of industrial production process optimization, and is used for solving the problems of strategy stiffness and limited adaptive ability caused by historical strategy data dependence of an existing optimization system. Model reconstruction is dynamically triggered by monitoring strategy entropy in real time, candidate strategies are generated in combination with parameter space resetting and multi-physics field simulation verification, strategy exploration priorities are dynamically allocated based on KL divergence difference, and a strategy set is continuously optimized through a closed-loop feedback mechanism. According to the method, path dependence can be actively broken when strategy diversity is attenuated, a dynamic priority distribution balance strategy is utilized to inherit and explore, a data acquisition window is adjusted in combination with deviation rate feedback, a self-adaptive optimization closed loop is formed, the adaptability and decision elasticity of a production strategy are effectively improved, and the efficiency stability in long-term operation is guaranteed.

The invention relates to the technical field of in-situ leaching mining of low-permeability sandstone type uranium ore, in particular to a prediction method for the in-situ leaching effect of the low-permeability sandstone type uranium ore. And constructing a single-hole blasting physical model, and simulating the change of the radiuses of the crushed region and the fractured region of the uranium mine by updating a non-coupling coefficient. Thirdly, constructing a multi-physics field coupling model, including a geometric model, rock parameter definition, initial and boundary condition setting, introduction of a fracture geometric model, and simulation of in-situ leaching uranium concentration and uranium recovery rate change curves after blasting permeation enhancement; the multi-physical field model covers a dilute material transfer field, a Darcy seepage field and a chemical field. And based on the uncoupling coefficients corresponding to the uranium concentration and the uranium recovery rate peak value, determining the optimal uncoupling coefficient, further constructing an HJC field scale blasting model, adjusting blasting parameters, and optimizing the uranium mine crack expansion condition and the in-situ leaching effect. And finally, in combination with the optimal blasting parameter, analyzing the influence of different in-situ leaching parameters on the in-situ leaching process, and optimizing the reaction rate, so that the whole process optimization is realized, and the in-situ leaching efficiency is improved.

The invention provides a digital twin modeling method and device for a wind turbine generator control system, and relates to the technical field of new energy, and the method comprises the steps: constructing a multi-physical field mechanism model of the wind turbine generator control system according to obtained aerodynamic characteristic parameters, mechanical characteristic parameters and electrical characteristic parameters; performing comparative analysis based on the multi-physics field mechanism model and the preprocessed operation data to generate deviation data; if the deviation data is greater than a preset first threshold value, performing deviation prediction through a pre-trained deviation prediction model based on the preprocessed operation data, and generating a deviation correction value; and correcting a simulation result of the multi-physics field mechanism model by using the deviation correction value to form a data-mechanism dual-driven digital twinborn model. According to the digital twinning modeling method and device for the wind turbine generator control system, the output precision and environmental adaptability of the wind turbine generator digital twinning system under various working conditions are effectively improved, and the fitting ability and continuous stability of the model to the actual operation state are enhanced.

The invention provides a porcelain insulator quality evaluation system based on multi-physics field coupling analysis, and relates to the technical field of rod-column porcelain insulator data processing.The porcelain insulator quality evaluation system adopts an electricity-heat-force multi-physics field joint simulation model to comprehensively reflect the heat accumulation and stress deformation effect caused by electric field concentration; an electric field concentration coefficient, a temperature rise trend coefficient and a stress gradient coefficient at a sharp point can be accurately captured, and degradation path prediction in a real operation environment is formed; according to the technology, the thread coupling abnormal index F alpha i of the ith rod-type column porcelain insulator is constructed, whether the thread structure has the risk of partial discharge, flashover or breakdown or not can be dynamically evaluated, and by introducing equivalent dielectric layer simulation of various environmental media, the simulation of the influence of various pollutants, attachments and climates on electric field concentration in reality is promoted; quantitative evaluation of the corona discharge risk of the sharp point is realized, and the reliability of the structural design of the insulator is promoted and improved.

The invention relates to the technical field of power system equipment state monitoring and fault diagnosis, in particular to a GIS basin-type insulator operation state evaluation method and system, and the system comprises an asset information and baseline modeling module which is used for building a high-fidelity multi-physics field finite element reference model and generating a defect state-external representation mapping data set; the physical information driven agent model generation module is used for constructing a neural network agent model fusing physical law constraints; the real-time data acquisition and feature extraction module is used for acquiring and processing online monitoring data such as UHF, gas, temperature and vibration; the state inversion and digital twinning calibration module is used for inverting internal defect parameters by adopting a Bayesian inference and MCMC method so as to realize real-time calibration of the model; and the evaluation diagnosis and life prediction module carries out fault mode identification and residual life prediction based on the calibration model.