1113 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 data processing, and discloses a hazardous chemical substance leakage and diffusion prediction method and system based on an unmanned ship, and a storage medium. The method comprises the following steps: acquiring water quality, weather and geographic data through an unmanned ship sensor, and processing to obtain an initial data set; calculating a diffusion range according to the data, optimizing a monitoring area, and generating a cooperative monitoring track; performing exception elimination and smoothing processing on the data, and constructing spatial distribution; solving a convection diffusion equation, and establishing a three-dimensional flow field model; analyzing a hazardous chemical substance diffusion path, and predicting pollutant distribution; and establishing a risk assessment system, and generating emergency disposal suggestions and decision-making schemes. According to the application, rapid and accurate monitoring of the polluted area is realized through the multi-parameter sensor array carried by the unmanned ship, and accurate prediction of the hazardous chemical substance pollutant diffusion process is realized in combination with multi-source data fusion processing and a three-dimensional flow field simulation technology.

The invention relates to the technical field of product quality inspection, in particular to a product quality detection system based on deep learning and machine vision, which comprises a multi-modal image acquisition module, a deep learning defect detection module and a dynamic resource scheduling module. The multi-modal image acquisition module is used for acquiring product images in all directions by using a high-resolution camera array and a self-adaptive light source; the deep learning defect detection module accurately identifies defects through dual-path residual denoising, multi-scale context sensing and graph topology defect classification; the dynamic resource scheduling module realizes reasonable scheduling of personnel and materials and balance of a production line according to a detection result, a skill map, an ant colony algorithm and the like; the augmented reality interaction module visually displays defects and provides maintenance navigation through holographic projection and multi-mode interaction; the self-evolution detection model can update the weight based on a new sample, and the multi-physics field simulation module simulates the influence of defects on the mechanical property of a product. The detection precision is high, the efficiency is high, and the product quality detection and production management level is remarkably improved.

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 relates to the technical field of energy efficiency management, in particular to a water conservancy sensing system based on edge computing. The system comprises the following modules: a riverway edge sensing module, a water conservancy characteristic analysis module, a sediment migration simulation module and a deposition scouring early warning module. Constructing a river channel water conservancy sensing network; performing real-time water conservancy monitoring data acquisition according to the river channel water conservancy sensing network to obtain river channel water conservancy sensing data; performing three-dimensional flow field model processing on the river channel water conservancy sensing data to obtain a three-dimensional sediment flow field network model; carrying out particle flow field simulation on the three-dimensional sediment flow field network model to generate sediment migration space-time distribution data; and according to the sediment migration space-time distribution data, carrying out siltation and scour area identification, and uploading the siltation and scour area data to a cloud platform through an edge computing node to carry out abnormal event alarm so as to obtain river section monitoring data. According to the invention, real-time, accurate and intelligent monitoring and early warning of the sediment deposition and scouring process of the river channel are realized.

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 belongs to the technical field of thermal circuit model construction, and particularly relates to a high-voltage power cable intermediate connection thermal circuit fault modeling analysis method and device, and the method comprises the steps: building a high-voltage power cable intermediate connection thermal circuit fault circuit model through analyzing a cable intermediate connection temperature inversion principle; the method comprises the following steps: establishing a geometric model for multi-physics field analysis of the intermediate connection of the high-voltage power cable by utilizing Comsol finite element simulation software, setting material parameters of each component, and setting field domain parameters; an electromagnetic field module is added, boundary conditions of electromagnetic field analysis are set, and a cable intermediate connection electromagnetic field simulation model is obtained; adding a solid heat transfer module to obtain a solid temperature field simulation model; obtaining an electromagnetic-thermal coupling model, and solving to obtain the temperature, current and loss of the cable middle connection wire core and the outer surface in different insulation states. According to the method, the cable intermediate connection fault problem can be found and predicted, and the reliability and the safety of the power cable 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 discloses a gobi photovoltaic base ecological restoration carbon sequestration benefit evaluation method and system, and particularly relates to the technical field of ecological environment governance, and the method comprises the following steps: dividing a photovoltaic base region into a photovoltaic panel lower region, a photovoltaic panel inter-row channel region and a photovoltaic field peripheral region, building corresponding ecological simulation models for different regions, and constructing a photovoltaic field simulation model; simulation data are obtained and substituted into the first common calculation model and the second common calculation model respectively, calculation results of all the areas are summarized and substituted into a pre-trained machine learning model, and an output result is an ecological restoration carbon sequestration benefit value used for representing the final score of overall ecological restoration of the photovoltaic base; according to the method, the vegetation restoration and soil carbon storage process can be dynamically simulated, compared with a traditional static monitoring method, the future ecological restoration trend can be predicted, scientific support is provided for long-term ecological management, a targeted ecological optimization scheme can be provided based on regionalized simulation, and the ecological value of renewable energy sources is improved.

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 temperature field simulation-based auger bit subsection heat treatment process optimization method and system. The method comprises the steps of constructing an auger bit three-dimensional temperature field simulation model based on auger bit attributes; gradient temperature distribution characteristics are obtained, and the auger bit is divided into a head strengthening section, a transition uniform temperature section and a tail slow cooling section in the axial direction; based on historical heat treatment data, calculating a temperature-stress evolution curve of each segment through transient thermal-structure coupling analysis, and constructing an ideal temperature change model of the auger bit; performing heat treatment processing on each section of the auger bit; based on the stress data of each segment of the auger bit, the error between the stress data and the temperature-stress evolution curve of each segment is calculated and fed back to the control system; and dynamically adjusting induction heating parameters, and performing closed-loop control on the temperature of each section. The method has the advantages that through axial multi-section partition temperature control, dynamic feedback adjustment and simulation model prediction, accurate matching of the temperature-stress field in the heat treatment process of the auger bit is achieved, and the bottleneck of obdurability imbalance of a traditional process is broken through.

The invention discloses a digital twinning system and method for displaying a ship spraying robot flow field through element universe, and belongs to the technical field of intelligent equipment. The digital twinning system comprises a physical entity layer, a data and tool layer, a digital twinning layer and a virtual application layer. The working method comprises the steps that actual parameters of the ship spraying robot are collected, and entity mapping is carried out; building of a virtual physical model of the ship spraying robot is completed; establishing a digital model of the spraying flow field of the ship spraying robot; building a virtual flow field simulation model based on a digital model; checking of ship spraying simulation results is completed through the simulation model, and simulation parameters are optimized; and completing entity improvement and reconstruction of the ship spraying robot. The visual display method for the spraying flow field of the ship spraying robot is constructed for the spraying operation scene in the dock by adopting a virtual simulation method based on the universe and the digital twinning technology. And the working efficiency is improved while the labor cost is reduced.

The invention discloses a calculation and measurement fused high-fidelity digital twinning dynamic monitoring method for a cantilever beam structure. Firstly, a real-time updated database is constructed based on a physical entity system; secondly, constructing a three-dimensional digital model by using SolidWorks, and performing multi-physics field simulation analysis in combination with Ansys to obtain high-precision mechanism data of a structural key area; thirdly, performing reduced-order calculation on a simulation result by using MWorks, training and optimizing a reduced-order model through a feedforward neural network, and reducing an error between simulation data and reduced-order data; fusing the one-dimensional system data order reduction model and the three-dimensional field data order reduction model based on a Modelica language; and finally, integrating a mechanism-data hybrid model, constructing a dynamic response characteristic and spatial distribution characteristic integrated high-fidelity digital twinborn body, comparing twinborn body calculation data with sensor actual measurement data in real time, and accurately representing geometric morphology, mechanical properties and dynamic behaviors of a physical system. The method is suitable for high-precision monitoring, real-time state evaluation and performance optimization of the cantilever beam structure.

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 present invention discloses a radar scattering field simulation method for a three-dimensional moving target group combined with a neural network, and belongs to the field of electromagnetic simulation technology. The method of the present invention converts the electromagnetic response of a three-dimensional moving target group into the response of the target when it is distributed at different positions, and extracts the three-dimensional numerical Green's function of the randomly distributed target group in the solution domain by changing the spatial distribution of the target group; the three-dimensional numerical Green's function is split into scattering terms and coupling terms, and the artificial neural network is trained separately; when training the artificial neural network, according to the characteristics of the moving target group, its position distribution and scattering terms / coupling terms are input into the artificial neural network as the main features; the scattering terms and coupling terms output by the artificial neural network model are combined into numerical Green's function terms, which can be applied to integral equations to achieve fast and accurate solution of the scattering field of the three-dimensional moving target group.

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 belongs to the technical field of cement production, and particularly discloses a cement decomposing furnace temperature field simulation method based on digital twinning, and the method comprises the steps: firstly, carrying out the preliminary selection of input parameters according to a cement clinker sintering technology, and then building a time sequence data set from a decomposing furnace; secondly, data preprocessing is carried out through mean filtering and homogenization, and a time sequence data set is divided into a training set, a verification set and a test set; establishing a deep learning model for training to obtain a digital twin virtual model layer, and establishing a decomposition furnace geometric model for training to obtain a prediction model; and carrying out anomaly detection and prediction simulation on the input decomposition furnace variables by using the two trained models. According to the method, the decomposition furnace digital twinborn model is established through the decomposition furnace mechanism model and the data driving model, so that the method has the advantages of prediction capability, operation optimization, decision support and the like, temperature distribution and dynamic change in the decomposition furnace can be reflected in real time, and abnormal conditions in operation can be found.

The invention discloses a method for determining the plugging thickness of a silt rock stratum based on temperature-pressure field simulation, which comprises the following steps: judging that the fracture pressure of a shale reservoir is smaller than the minimum starting pressure of an overlying silt rock stratum, and carrying out the following steps: wrapping the side surface of a roof rock sample by using a heat insulation sealing material; heating and pressurizing devices and temperature and pressure sensors are arranged on the bottom surface of the rock sample, and a plurality of pressure sensors are arranged on the side surface of the rock sample at set intervals; heating the rock sample by using a heating device until the bottom temperature is the set temperature, pressurizing the rock sample by using a pressurizing device until the bottom pressure is the set pressure, stabilizing the temperature and the pressure until the measured values of the sensors are stable, and determining the lowest position where the pressure of the rock sample is not higher than the second set pressure according to the measured values of the sensors; determining the lower limit of top plate plugging thickness according to the distance from the position to the bottom surface; and similarly, determining the bottom plate plugging thickness lower limit. The method can reasonably quantify the lower limit of the plugging thickness of the top and bottom plates of the shale reservoir through joint simulation of the temperature field and the pressure field.

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.