364 results about "Bidirectional coupling" patented technology

The invention discloses a dam safety monitoring system and method based on digital twinning, and belongs to the technical field of data processing, and the method comprises the steps: collecting dam surface acoustic emission signals and internal infrared thermal image data in real time through a multi-source sensor, and generating a multi-dimensional damage feature matrix; constructing a disaster node topology network in combination with density peak clustering and dynamic weight; on the basis of gravitational field intensity calculation and improved Monte Carlo simulation, a damage chain reaction path is accurately predicted; generating a dynamic risk thermodynamic diagram through space-time folding mapping and a bidirectional diffraction equation; and extracting hidden danger indexes by adopting multi-axis domain characteristic distillation, dynamically comparing a safety envelope function, and generating a flood discharge scheduling and reinforcing scheme on line. According to the method, cross-modal fusion, a gravitational field dynamic topology network and a time-space folding mapping technology are adopted, deep fusion of accurate simulation of a damage energy conduction path, carbonization-deformation bidirectional coupling prediction and intelligent risk hidden danger disposal decision can be realized, and the accuracy and initiative of dam safety early warning are improved.

The invention relates to the technical field of digital twinning, in particular to a pile foundation construction whole process digital twinning system which comprises a twinning configuration module, a dynamic mapping module, a coupling analysis module and a twinning synchronization module. According to the method, a time axis driving model sequence is constructed based on space-time interpolation, burial depth coordinates, pouring time and segment numbers are dynamically bound, three-dimensional evolution mapping of a pile body model is achieved, axis coordinate deviation is combined with perpendicularity threshold extraction, virtual model coordinates are corrected in real time through point cloud registration, and a pump pressure value and settlement are fused to generate a pile sinking rate index. A bidirectional coupling relation between parameters and stratum response is established in combination with stratum counter-force and injection rate, the thickness of the model is adjusted according to a settlement rate difference value, the similarity of the injection rate and a counter-force curve is matched, a model parameter reverse updating mechanism is formed, and real-time intervention of construction abnormity, dynamic optimization of parameter coupling and model iteration correction are achieved. And the process controllability and the quality tracing precision are improved.

The invention discloses an optical storage direct-flexible system power scheduling method based on market model prediction response, which comprises the following steps: determining the composition of an optical storage direct-flexible system, and collecting operation state data and external environment data; constructing a hybrid prediction model, and predicting the market price and the uncertainty interval of the market price in the scheduling period; establishing a power scheduling optimization model, and solving to obtain an optimal power scheduling strategy; according to the optimal power scheduling strategy, a control instruction is issued to each control unit of the optical storage direct flexible system, and cooperative adjustment is carried out through a bidirectional coupling feedback mechanism of voltage and power; the market price and the system operation state are monitored in real time, and when the market price deviation exceeds a price deviation threshold value, scheduling strategy online correction is triggered. According to the robust optimization architecture, traditional power scheduling is converted into a confrontation game structure between the system and the market, and the resistance of the system to extreme price situations is improved while economic benefits are guaranteed.

The invention relates to the technical field of machining control, and discloses a forging part machining process control method and system based on digital twinning. The method comprises the following steps: acquiring temperature field and stress field data streams of large oil press equipment and forgings at multiple points in different areas; performing organization-defect association mode recognition on the data stream to generate a forging process database; a constitutive unit nesting method is adopted to construct a digital twinborn model, and a microstructure evolution unit is embedded in a macroscopic unit; performing nonlinear progressive simulation to obtain a critical deformation condition and a defect threshold value; and carrying out reverse solution on the process window to obtain an optimal process parameter combination. According to the method, the forging digital twin model is established through the constitutive unit nesting method, bidirectional coupling of macroscopic deformation and microstructure evolution is achieved, a stable process parameter combination is determined through the process window reverse solution technology, and therefore the quality stability and production efficiency of forged parts are improved.

The invention belongs to the technical field of hydrology and water resource intelligent management, and discloses an inter-basin water resource system cooperative scheduling and forward-reverse bidirectional coupling dynamic decision method and system, and the method comprises the steps: S1, constructing a multi-modal water conservancy infrastructure topological relation graph, and carrying out the bidirectional conduction optimization; s2, sensing hydrological gap risk situation and analyzing multi-source water supply potential coupling based on the multi-modal water conservancy infrastructure topological relation map and optimized bidirectional conduction; s3, based on hydrological gap risk situation and multi-source water supply potential coupling, generating an elastic grading water quantity distribution strategy and a cross-engineering replacement protocol; and S4, constructing and optimizing a positive-negative two-way rehearsal decision engine based on an elastic grading water distribution strategy and a cross-engineering replacement protocol. The technical problem that a traditional one-way scheduling model is difficult to deal with complex topological relations, sudden water shortage events and cross-administrative-region collaboration is solved.

The invention relates to the technical field of gas station equipment monitoring, in particular to a gas station equipment monitoring system and method based on the Internet of Things. The method specifically comprises the steps of collecting multi-dimensional operation parameters of equipment and business process node dynamics in real time, constructing a bidirectional coupling graph model of the equipment and business, and extracting high-order features of physical association and business logic interaction between the equipment by using a graph convolutional network; predicting equipment fault risks by adopting a dynamic health scoring mechanism, backtracking a risk propagation chain in combination with an attention mechanism, and mapping multi-dimensional data into interpretable fault diagnosis information through an abnormal semantic generation network; a double-layer reinforcement learning game mechanism is introduced, an inner layer coordinates equipment maintenance and a risk suppression strategy, an outer layer overall plans service efficiency and a safety target, optimization actions such as resource scheduling and oil product allocation are generated, and a perception-diagnosis-decision closed loop is formed. According to the method, full-time perception of the equipment state, active fault early warning and cross-domain collaborative optimization are realized, and the operation and maintenance efficiency and safety of the gas station are remarkably improved.

The invention relates to the technical field of high-pressure dredge pump simulation calculation, and discloses a construction and application method of a high-pressure efficient dredge pump simulation calculation model. A model is established based on dynamic fluid-solid coupling parameters (mud pulsating pressure, impeller dynamic stress and the like), soil multiphase rheological parameters (particle phase volume fraction, viscous resistance coefficient and the like) and pipeline transient resistance parameters (transient pressure drop gradient and the like), and factors such as rotating speed-power matching and the like are incorporated to calculate an operation envelope and a critical failure threshold. A multi-physics field coupling analysis system comprising parameter configuration, dynamic simulation (integrating a flow field and a structural vibration solver) and a safety evaluation module is developed, after actually measured data and self-defined parameters are input, dynamic flow velocity distribution, pressure pulsation characteristics and the like are obtained through fluid-solid bidirectional coupling calculation, and an optimal configuration scheme is generated. The system supports database management, multi-rheological model matching and three-dimensional visualization, the simulation precision and the engineering efficiency are improved, and support is provided for performance optimization and safety evaluation of the high-pressure working condition.

The invention discloses a thin-wall structure lightweight design method based on additive manufacturing, and belongs to the technical field of additive manufacturing, and the thin-wall structure lightweight design method comprises the following steps: S100, designing an initial structure based on function and performance mapping; s200, an additive manufacturing process knowledge base is constructed, and the adaptability of the additive manufacturing process is evaluated; s300, carrying out process and structure bidirectional coupling finite element analysis; s400, collaborative optimization of a process and a structure driven by a multi-objective optimization algorithm; s500, feature part manufacturing verification and design and process scheme iterative optimization are carried out; and S600, generating a design and process integrated scheme, wherein the integrated scheme comprises design parameters and manufacturing parameters. The technical problem that in the prior art, the structure optimization target and the manufacturing adaptive capacity are lack of collaboration can be solved.

The invention belongs to the technical field of laser welding, and discloses a laser welding macro-micro multi-physics field cross-scale bidirectional coupling modeling method, which adopts a diffusion interface theory, considers macro heat flow information to revise micro phase field and solute field evolution equations, considers micro phase quality information to revise macro temperature field and flow field evolution equations, and considers micro heat flow information to revise micro phase field and solute field evolution equations. A macroscopic heat flow-microcosmic phase and mass multi-physics field bidirectional coupling model is innovatively constructed, and macroscopic and microcosmic bidirectional coupling calculation in the same computational domain is achieved. The model can overcome the limitation that a traditional sharp interface is difficult to couple, and a theoretical model basis is provided for precise prediction of macroscopic forming and microstructure evolution in the laser welding process. According to the method, a macroscopic temperature field / flow field-microscopic phase field / solute field bidirectional coupling mechanism is established, a cross-scale data bidirectional collaborative interaction method is provided, and therefore a laser welding macro-microscopic multi-physical field / cross-scale bidirectional coupling modeling method is provided, and precise simulation of macro-microscopic forming in the laser welding process is achieved.

The invention provides a digital twinning application-oriented electrical equipment electromagnetic heat flow coupling rapid calculation method, and belongs to the technical field of electrical digital data processing.The method comprises the steps that firstly, a three-dimensional model of electrical equipment is acquired and preprocessed, and a full-order electromagnetic heat flow coupling calculation model is established and verified through a temperature rise test; generating an experimental point matrix by using a Latin hypercube sampling method, and constructing a current temperature power density relational data set; performing regional division on the power density field by applying a K-means clustering algorithm, and constructing an electromagnetic response surface model through a radial basis function; establishing a heat flow field order reduction model based on an intrinsic orthogonal decomposition technology, and extracting a dominant mode primary function; bidirectional coupling of an electromagnetic field and a heat flow field reduced-order model is achieved, an improved Lagrange multiplier method and a fixed point iteration method are adopted for processing the nonlinear coupling problem, finally, a software development kit supporting an open platform communication unified architecture protocol is packaged, and the electromagnetic heat flow coupling rapid calculation capacity needed by digital twinning application is achieved.

According to the spatial configuration bidirectional fluid-solid coupling analysis method for the deep-sea mining hose, an internal flow coupling equation is constructed based on internal fluid parameters and hose physical property parameters, an external flow coupling equation is constructed based on external fluid parameters and hose physical property parameters, boundary conditions are obtained based on near-wall fluid parameters and hose physical property parameters, and the deep-sea mining hose is obtained. Coupling the external flow coupling equation and the internal flow coupling equation through boundary conditions to construct a bidirectional coupling dynamic equation set; an undamped free vibration equation and a hose balance equation are constructed based on hose physical property parameters, the undamped free vibration equation and the hose balance equation are combined, and an additional fluid mass matrix is introduced to establish a wet modal analysis model; and high-precision simulation and efficient optimization of the deep-sea mining hose spatial configuration are realized.

The invention discloses a numerical simulation method for an avalanche impact protection structure based on bidirectional coupling, and relates to the technical field of mountain disaster protection, and the method comprises the steps: modeling and initializing an avalanche material source: employing a discrete element theory to simulate an avalanche process, and achieving the whole-process dynamic simulation and reproduction of an avalanche disaster from the starting to the movement to the impact protection structure; protection structure modeling and parameter setting: modeling an avalanche protection structure based on a universal finite element simulation platform; discrete element-finite element contact coupling setting: solving unit stress and strain data; numerical simulation control and solution; impact response extraction and result analysis: performing systematic analysis on the structure response and impact characteristics to evaluate the dynamic performance and safety margin of the structure under the action of avalanche impact; the method can be used for predicting the impact effect of the avalanche disaster on the downstream structure, and provides a theoretical basis and technical support for design and performance evaluation of a protection structure.

The invention discloses a public security event emergency resource allocation method based on multi-agent collaborative optimization. The method comprises the following steps: S1, forming a three-dimensional state tensor field; s2, initializing an event agent, a resource agent and a scheduling agent based on the three-dimensional state tensor field, constructing a resource scheduling solution space, configuring an evolution hybrid perception model for each agent, and outputting a scheduling potential map; s3, path search based on target driving is carried out in the resource scheduling solution space, honey source position selection is carried out based on the scheduling potential map through a bee-bird search algorithm, and a resource matching path is generated; s4, establishing a bidirectional coupling mechanism between the hummingbird search algorithm and the evolution hybrid perception model, and realizing dynamic collaborative optimization; and S5, outputting a final resource scheduling scheme and executing the final resource scheduling scheme in real time by each agent to form a scheduling decision closed loop of the emergency response of the public security event. According to the method, the multi-agent evolution hybrid perception model and the hummingbird search algorithm are fused, and public security event resource scheduling optimization is realized.

The invention discloses a gas-solid two-phase flow numerical simulation method for bidirectional coupling of non-spherical particles and a flow field, and belongs to the technical field of biomass fuel utilization, and the method comprises the following steps: constructing a flow field model in Fluent, and correspondingly setting an initial boundary condition of the flow field; setting initialization conditions of non-spherical particles in the UDF; establishing an inertial coordinate system and a particle coordinate system, and coupling the two coordinate systems; and obtaining a translational motion table / rotational motion characterization equation, determining the position and direction of the particles by solving the two equations, correcting flow field parameters by using the positions and direction of the particles, and iteratively calculating particle motion parameters to realize bidirectional coupling of the non-spherical particles and the flow field. According to the numerical simulation method, through Fluent-UDF numerical simulation, the interaction between the non-spherical particles and the flow field can be accurately simulated, the accuracy of gas-solid two-phase flow numerical simulation is guaranteed, understanding of the complex process of direct combustion coupling of biomass particles of a coal-fired boiler is deepened, and theoretical support is provided for optimization of combustor design and the combustion process.

The invention relates to a stern bearing lubrication characteristic analysis method coupled with the influence of three-dimensional vibration of a stern shaft, and the analysis method comprises the steps: S1, inputting global parameters into a bearing lubrication performance and kinetic parameter calculation module and a propulsion shaft system vertical, horizontal and torsional three-dimensional vibration calculation module, and completing the corresponding calculation; s2, obtaining a bearing transfer matrix; s3, obtaining a system transfer matrix; s4, the forced vibration calculation module completes corresponding calculation; s5, a bearing relative position feedback module completes corresponding calculation; and S6, judging whether the calculation of one work cycle is completed or not, and storing and outputting the working characteristic result of the stern shaft-stern bearing in the cycle. By designing a bearing lubrication performance and kinetic parameter calculation module and a propulsion shafting vertical and horizontal torsion three-dimensional vibration calculation module, the vibration and lubrication coupling effect between a stern shaft and a stern bearing is fully considered, and a stern shaft vertical and horizontal torsion three-dimensional vibration and stern bearing lubrication characteristic bidirectional coupling model is established. And a vibration lubrication mutual feedback mechanism under a complex vibration condition is disclosed.

The invention discloses a highway tunnel supporting structure Newtonian mechanics deformation intelligent early warning platform, and relates to the technical field of supporting early warning, the highway tunnel supporting structure Newtonian mechanics deformation intelligent early warning platform comprises a deformation prediction module, the deformation prediction module is used for carrying out early warning and stability evaluation on a supporting structure; the deformation prediction module comprises a coupling modeling unit, a load response unit and an evaluation early warning unit. By designing the deformation prediction module, bidirectional coupling of rock mass pore water pressure and solid deformation is realized, the problem of misjudgment caused by neglecting underground water seepage softening surrounding rock and dynamic load cumulative effect in traditional early warning is solved, and prediction precision and active prevention and control capability of tunnel stability are improved.

The invention relates to the technical field of fluid-solid coupling, in particular to a rock-soil body fluid-solid coupling simulation method and system. Firstly, a fluid-solid coupling model is constructed according to a rock-soil body balance equation, a seepage continuity equation and a permeability function considering deformation influence, and the fluid-solid coupling model can realize bidirectional coupling of a stress field and a seepage field, so that the fluid-solid coupling process of the rock-soil body is more accurately simulated through the fluid-solid coupling model; in addition, the fluid-structure interaction model uses many parameters, including mechanical parameters and permeability parameters, so that the inversion efficiency is low; according to the method, an orthogonal test method is adopted to carry out sensitivity analysis on the fluid-solid coupling parameters of the rock-soil body, parameters sensitive to monitoring data are obtained, only target parameters are inverted, the number of the inverted parameters is reduced, and therefore the parameter inversion efficiency is remarkably improved; the invention further provides a model parameter inversion method based on the long and short term memory neural network.

The invention discloses a cable temperature simulation model construction method and system based on multi-field coupling, and relates to the technical field of multi-physical field coupling simulation and tunnel cables, and the method comprises the steps: constructing a three-dimensional geometric model based on actual cable structure parameters and cable tunnel three-dimensional scanning data; physical field parameters are set for all layers of materials of the cable and peripheral media of the tunnel, boundary heat dissipation conditions are defined, two-dimensional grid division is conducted on the model according to the axial symmetry characteristic of the cross section of the cable, processing frequency load current excitation is applied, electromagnetic field distribution is solved, and a three-dimensional steady-state temperature field control equation is constructed; and solving three-dimensional temperature distribution of the cable and tunnel environment, establishing a bidirectional coupling relationship between an electromagnetic field and a temperature field, and iteratively updating Joule loss power and temperature field distribution by dynamically adjusting conductor conductivity until a convergence condition is met. According to the invention, real-time monitoring and early warning of the temperature along the cable are realized, and detection and response at the initial stage of a fault are ensured, so that the operation safety and reliability of a power system are improved.

The invention relates to the technical field of power equipment detection and evaluation, in particular to a transformer anti-short-circuit capability evaluation method based on finite element micro-damage accumulation, which comprises the steps of constructing a transformer full-fault finite element model, simulating and calculating the mechanical strength and safety coefficient of a winding, establishing a micro-damage accumulation model and evaluating the mechanical life. Bidirectional coupling analysis is realized through iterative simulation, and the anti-short-circuit capability of the transformer is dynamically evaluated in real time. According to the method, transformer design parameters, short-circuit impact influences and micro-damage cumulative effects can be comprehensively considered, accurate evaluation and dynamic monitoring of the anti-short-circuit capability in the whole life cycle are achieved, and a scientific basis is provided for operation and maintenance decisions.

The invention discloses an iterative coupling method for a fluid field and a temperature field of a motor, which is characterized in that through multi-round data iteration of a flow field and a thermal field, the precision of bidirectional coupling is approached by a one-way coupling process, the computing resource demand is obviously reduced, the computing complexity is reduced, the precision and efficiency are considered, and the method is suitable for rapid thermal design of the motor. The method has the advantages of being high in calculation efficiency, controllable in precision and high in universality.

The invention discloses a simulation method for calculating rigid-flexible-electric-thermal coupling dynamic response of a space structure, which comprises the following steps of: simplifying the space structure into a central rigid body-cantilever slab model, describing and dispersing the model through a constructed absolute node method mixing unit, deducing a dynamic equation of the model and a temperature field and electrostatic field control equation, and calculating the dynamic response of the rigid-flexible-electric-thermal coupling dynamic response of the space structure. The method comprises the following steps of: obtaining a rigid-flexible-electric-thermal coupling equation set of the system by taking a dynamic response result of the structure into consideration, considering a bidirectional coupling effect between a displacement field and a physical field, solving the equation set by utilizing a solver based on a generalized alpha method, obtaining the dynamic response result of the structure, performing visualization processing, and displaying the change condition of physical quantities such as temperature, potential and displacement along with time. According to the method, the influence of physical field factors is comprehensively considered, the spatial structure dynamic behavior under multi-physical field coupling can be accurately simulated, and a certain basis is provided for the simulation design of the spatial structure.

The invention discloses a tunnel health assessment method and device based on digital twinning and a medium, and relates to the technical field of digital twinning, and the method comprises the steps: carrying out the time-space alignment processing of tunnel health monitoring data, so as to obtain a structured tunnel state data set; performing tunnel equipment physical drive analysis on the structured tunnel equipment state data to determine tunnel equipment performance data; performing finite element analysis on the structured tunnel environment state data to determine tunnel environment state data; based on the tunnel equipment performance data and the tunnel environment state data, performing bidirectional coupling processing to obtain a dynamically updated digital twinborn body; determining tunnel state driving simulation data through tunnel data twinning dynamic interaction according to the dynamically updated digital twinborn body; and performing multi-level health index operation on the tunnel state driving simulation data to obtain a tunnel health assessment score. According to the method, the technical problem that tunnel equipment and environment cannot be linked in tunnel health assessment is solved.

The invention belongs to the technical field of crossing of artificial intelligence and computational mechanics, and particularly relates to an artificial intelligence-based MPM simulation method and system for a mold bag sand cofferdam, a three-dimensional simulation system of the mold bag sand cofferdam is constructed in combination with an MPM method, and the penetration state of sand and geotechnical cloth is detected in an accelerated manner by utilizing a penetration tracking algorithm and spatial Hash. An artificial intelligence algorithm is introduced, a reward function is designed with minimum penetration depth and penetration times as targets, penetration prediction of MPM particles is driven, the speed and stress of the MPM particles are further dynamically regulated and controlled on the basis of a predicted contact model and the artificial intelligence algorithm, penetration is prevented, numerical stability is ensured, and the prediction accuracy of the MPM particles is improved. The calculation precision is improved by adopting implicit integration and gradient descent methods; and bidirectional coupling of the sand and the geotechnical cloth is realized through a visualization module. The problems that in a traditional method, coupling simulation of sandy soil and a flexible structure is low in efficiency, easy to penetrate, unstable in numerical value and the like are solved, and the accuracy and reliability of simulation analysis of the mold bag sand cofferdam structure under the complex working condition are remarkably improved.

The invention provides a bidirectional coupler and a radio frequency module. The bidirectional coupler comprises a silicon oxide layer, an insulating layer, a first metal layer, a second metal layer, a third metal layer, a transmission line fixed in the third metal layer, a patch cord fixed in the second metal layer, a coupling line fixed in the first metal layer, a connecting hole penetrating from the first metal layer to the second metal layer, and a connecting line, wherein the silicon oxide layer, the insulating layer, the first metal layer, the second metal layer and the third metal layer are stacked and fixed in sequence. The orthographic projection area of the first metal layer on the third metal layer is 30-40% of the side area of the third metal layer; the width of the coupling line is smaller than 10 micrometers, the distance between the patch cord and the transmission line is smaller than 5 micrometers, and the distance between the patch cord and the coupling line is smaller than 5 micrometers. The coupling degree and the isolation degree of the bidirectional coupler can be improved, the insertion loss of the bidirectional coupler is reduced, large broadband and miniaturization are achieved, and meanwhile high-density integration can be achieved in a radio frequency assembly.

The invention relates to the technical field of fluid dynamics, in particular to a lattice-Boltzmann method-based thin particle flow two-way coupling modeling method, which comprises the following steps of: performing field domain discretization by selecting spatial resolution, performing collision migration and viscosity coefficient setting, establishing a time step sequence and a fluid initial speed, determining a speed disturbance parameter, and establishing a two-way coupling model; calculating particle volume fraction and density distribution to obtain a speed distribution function set. According to the method, the spatial resolution is selected for field domain discretization, so that flow field division is more refined, the motion resolution of particles in different regions is enhanced, and the numerical error of the particles in a local region is reduced. And through collision migration and viscosity coefficient setting, it is ensured that the particles are evenly stressed in different flowing states, and the stability of the particle motion trail is improved. A time step sequence and a fluid initial speed are established, so that the time advancing process of particle movement is kept consistent, and speed deviation caused by mismatching of time steps is reduced.

Systems and methods for enhancing sensitivity in a sensor with exceptional points (EPs), including: providing a sensor in the form of an exception-point (EP)-enhanced sensor; providing one or optical fibers associated with the EP-enhanced sensor; providing a scatterer; and / or providing a reflective component, the reflective component influencing a mode coupling of the EP-enhanced sensor. Where the sensor is a microresonator: coupling one or more modes of the microresonator via a bidirectional coupling channel and a unidirectional coupling channel; manipulating the mode coupling by a scatterer and a reflective component, the reflective component influencing the mode coupling of the resonator; steering, via the reflective component, the microresonator around EPs; and / or sending, via the reflective component, one or more phase changes in response to external perturbations back to the microresonator.

The invention relates to the field of mechanical engineering, in particular to a hydraulic-structure collaborative optimization design method for a shield pump, and aims to solve the problems of load distortion and structure matching imbalance caused by traditional staged optimization. The method comprises the following steps: constructing a fluid-solid bidirectional coupling simulation model, and extracting transient hydraulic loads under multiple working conditions; establishing a structure dynamic response agent model based on modal superposition and Gaussian process regression; key coupling parameters such as the impeller outlet width and the volute base circle diameter are recognized through a Sobol method; and the efficiency, the lift fluctuation rate, the stress and the vibration are taken as multiple targets, and a Pareto optimal solution is searched through an improved genetic algorithm. Manufacturing constraints are embedded in the optimization process, the single period is shorter than 48 hours, and fatigue life evaluation and knowledge base intelligent recommendation are supported. According to the method, closed-loop cooperation of hydraulic excitation and structural response is achieved, the vibration prediction error is lower than 10%, the optimization dimension is compressed to be within 5 dimensions, the efficiency is improved by 20 times or above, and the performance reliability and the design intelligence level of the shield pump are remarkably improved.

The invention provides a GIS equipment simulation method and system considering multi-physics field coupling, and relates to the technical field of multi-physics field simulation, electromagnetic, heat flow and mechanical stress performance parameters of GIS equipment are acquired, and a GIS equipment local simulation geometric model under working conditions is constructed; setting boundary conditions of an electromagnetic field, a temperature field and a fluid field, performing grid division on the local simulation geometric model, and establishing a relation among multiple physical fields by combining a coupling relation among the multiple physical fields; performing preliminary simulation to obtain a local simulation geometric model after the GIS equipment is deformed, and performing simulation calculation on the deformed GIS equipment again to realize multi-physical field bidirectional coupling among an electromagnetic field, a heat flow field and a stress field; coupling iterative calculation among the multiple physical fields is carried out until convergence constraint conditions are met, and the simulation condition of each physical field, especially the electric field distribution condition after deformation under the GIS actual working condition is considered, is obtained.

The invention relates to the technical field of virtual power plant optimization scheduling, in particular to a low-carbon virtual power plant collaborative optimization method based on digital twinning and deep reinforcement learning, which comprises the following steps: intelligently coupled digital twinning collaborative modeling is carried out, and an aging-efficiency bidirectional coupling mechanism is developed; carbon energy flow coupling dynamic tracking is carried out, a block chain network is established to store carbon emission data, a carbon intensity database is established to guide low-carbon scheduling, and a space-time carbon footprint thermodynamic diagram is generated; constructing a hybrid optimization architecture to realize multi-temporal-spatial-scale collaborative optimization, generating a risk parameter packet and converting the risk parameter packet into risk model features; and establishing a risk assessment system, and developing a risk hedging strategy to realize risk dynamic protection. According to the method, the bottleneck of existing virtual power plant operation management is broken through, efficient equipment management, energy low-carbon scheduling, multi-temporal-spatial-scale collaborative optimization and effective risk prevention and control can be achieved, and the safety, reliability and resource utilization efficiency of virtual power plant operation are improved.

According to the device for reducing the temperature rise of the dry-type hollow high-capacity current-limiting reactor and the design method thereof, a double-layer rainproof device technology and a split type staggered ventilation structure are adopted to realize rainproof and heat dissipation decoupling; according to the invention, heat dissipation is carried out through annular grating ventilation holes in the vertical direction of a top-layer rainproof cap and a middle ventilation net between the top-layer rainproof cap and a bottom-layer rainproof cap, and a coupling simulation technology of a magnetic field-flow field-temperature field of a reactor is utilized to form a correlation between structural parameters of a double-layer rainproof device and a flow rate change rate of fluid in an air passage of an encapsulation chamber; a bidirectional coupling model of a flow field and a temperature field is established, and the synergistic effect of encapsulated radiation and convective heat transfer is solved through a finite element method. Through multi-field coupling simulation and parametric modeling, the problem of collaborative optimization of rainproof device design and electric reactor thermal performance is solved, the equivalent heat dissipation area is increased to 2-3 times that of a single-layer structure, the use amount of wires is reduced by 8-15%, the coil hot-spot temperature rise is reduced to 78K from 88K of a traditional structure, and the reduction amplitude reaches 11.4%.