331 results about "Fluid modeling" patented technology

The invention discloses an integrated water quality monitoring and processing system for aquaculture, and the system comprises a data collection module which is used for obtaining dissolved oxygen, ammonia nitrogen, pH value, temperature and flow data from a plurality of spatial distributed sensing nodes; the data preprocessing module is used for completing noise removal, correction and time sequence synchronization; the water quality state estimation module is used for outputting real-time multi-point water quality states based on a distributed unscented Kalman filtering algorithm; the space-time fluid modeling module is used for constructing a Lagrange model to extract a flow velocity field and a diffusion coefficient; the scheduling optimization module is used for generating an aeration and dosing scheme by adopting an improved multi-target Pareto optimization algorithm based on a space-time sensitive boundary; the execution module is used for controlling an air blower, an aeration pipe and a dosing pump to complete oxygenation and dosing operations; and the self-adaptive updating module is used for collecting feedback data to adjust filtering gain and optimizing parameters so as to realize closed-loop control of the system.

The invention relates to a wellbore multiphase flow model numerical solution and gas-liquid distribution state inversion method and system, and belongs to the technical field of petroleum engineering, and the method comprises the steps: 1, constructing and training a physical information neural network for drilling wellbore multiphase flow dynamic simulation and overflow gas distribution state inversion; determining input and output of the physical information neural network; determining a loss function of the physical information neural network; training a physical information neural network; 2, designing an adaptive optimization algorithm, optimizing the final solution precision and convergence speed of the physical information neural network, and obtaining an adaptive physical information neural network; designing an adaptive activation function; designing a self-adaptive sampling mechanism based on residual errors; 3, based on the self-adaptive physical information neural network, numerical solution and gas-liquid distribution state inversion of the shaft multiphase flow model are achieved. According to the method, the problem that a traditional numerical method usually needs high-precision grid division and a large number of computing resources is effectively solved.

The invention provides a digital twinning-based water flow dynamic analysis method and a big data analysis system, and the method comprises the steps: obtaining a historical water flow data set of a target water area, collecting a real-time water flow monitoring data set, and constructing a digital twinning water flow model corresponding to the target water area; performing multi-modal feature fusion processing on the historical water flow data set and the real-time water flow monitoring data set to generate a dynamic water flow feature set, loading the dynamic water flow feature set into a digital twin water flow model based on a spatial distribution topological structure of the digital twin water flow model to generate a water flow dynamic change rule set, and performing dynamic water flow change on the dynamic water flow change rule set. And generating a water flow optimization strategy set according to the water flow dynamic change rule set, and feeding back the water flow optimization strategy set to the water flow regulation and control system to execute dynamic regulation and control operation. By adopting the technical scheme of the invention, the space adaptability and the dynamic response capability of the water flow optimization strategy decision can be obviously improved.

The invention relates to the technical field of computational simulation, in particular to a fluid mechanics calculation method and system based on CFD simulation optimization. The method comprises the following steps: acquiring a flow field CFD original simulation model corresponding to fluid mechanics; generating a fluid mechanics flow field key grid area by setting the size of a flow field calculation domain grid and performing calculation domain grid division and flow field key area identification; the method comprises the following steps of: obtaining a grid length-width ratio and torsion resistance corresponding to each grid subunit in the grid, and carrying out grid constraint updating to generate a fluid mechanics flow field updating grid region; a corresponding Reynolds number and a turbulence scale are obtained through the fluid mechanics flow field updating grid area, turbulence model dynamic selection modeling is carried out, and a flow field grid area dynamic turbulence model is generated; and carrying out finite volume division and error simulation correction optimization on the dynamic turbulence model of the flow field grid region to obtain a corrected fluid mechanics flow field quantity calculation result. According to the method, collaborative improvement of fluid mechanics calculation precision and efficiency can be realized.

The invention discloses a complete machine variable-dimension simulation method based on a circumferential average flow model, belongs to the technical field of aero-engine numerical simulation and multi-scale modeling, and solves the problem that complete machine simulation efficiency and local flow detail precision are difficult to consider at the same time in the prior art. And traditional full-three-dimensional computing is too high in resource consumption and cannot quickly evaluate the performance of the whole machine. According to the method, a zero-dimensional complete machine and component two-dimensional model of the aero-engine is firstly established, dimensionality reduction is carried out by using a circumferential average N-S equation, the two-dimensional model is embedded into the zero-dimensional model, an equivalent replacement variable reconstruction equation set is solved, synchronous convergence of the complete machine and component models is realized, and simulation precision and efficiency are improved. According to the method, a full coupling mode is adopted, two-dimensional dimension reduction modeling is combined, minute-level convergence is achieved, the simulation error is not larger than 5%, the simulation precision is improved, the calculation efficiency is improved, rich S2 flow field information can be provided, and the research and development cost and period are reduced.

The invention belongs to the technical field of bubble dynamics and multiphase flow and artificial intelligence, and particularly relates to a high-pressure bubble pulsation load prediction and initial parameter inversion method and system based on artificial intelligence. The underwater high-pressure bubble pulsation process is studied, and interface evolution data in the high-pressure bubble pulsation process are obtained; establishing a compressible VOF-PINN multiphase flow model, and predicting unknown parameters and pulsating load characteristics of bubbles in combination with the initial boundary value; dividing a prediction problem into a positive problem and an inverse problem according to known data; establishing a model which can be used for predicting forward and reverse models; for a positive problem, training and predicting the VOF-PINN model by using a gradient descent optimization algorithm; and for the inverse problem, bubble initial parameter identification is realized. The invention aims to solve the problems that recalculation is needed for changing calculation parameters in numerical simulation, grid division is complex and tedious, high-fidelity data cannot be directly included, and initial parameters in experimental research are uncertain.

The invention discloses a source network, plant, river and lake integrated model simulation method and device, a medium and equipment in the technical field of regional water environment pollution treatment. The method comprises the following steps: inputting a boundary condition and an initial condition of a first model into a pre-constructed surface runoff production and convergence model of a target area, and outputting a flow rate of surface runoff and a water quality index time sequence; inputting the boundary condition and the initial condition of the second model into a pre-constructed pipe network model of a target area, and outputting a flow and water quality index time sequence of key nodes in a pipe network system; and inputting the boundary condition and the initial condition of the third model into a pre-constructed riverway and lake grid model of a target area, and simulating the river and lake hydrodynamics and water quality change process of the target area. According to the invention, coupling simulation of surface runoff, pipe networks, rivers and lakes is realized, and a propagation path and an influence mechanism of pollutants are comprehensively reflected; and high precision and reliability of the model are ensured through parameter calibration.

The invention relates to a thermal simulation numerical simulation method of a multi-physics field architecture with CFD as a core, and belongs to the technical field of cross of computational fluid mechanics and heat transfer science. The method comprises the following steps: constructing a geometry and a conformal / non-conformal grid, presetting a model library, establishing association between a region and a physical field through physical group division, confirming a boundary and initial parameters, and screening a core simulation model; dividing an independent control volume based on a core numerical model, converting an area component and a volume component through integral operation, discretizing a boundary flux to construct a parameter matrix, then solving an equation set, and synchronously optimizing the grid quality; calculating a boundary flux and matching a discrete format, a turbulence model and a corresponding multi-physical field coupling model; original data are screened and processed, and cloud picture results such as temperature and flow field are generated through visualization. Accurate simulation of a multi-physics coupling scene is achieved, the precision and stability of thermal simulation under complex working conditions are improved, and efficient and reliable technical support is provided for engineering design optimization and performance evaluation.

A worm and worm gear pair heat-fluid-solid coupling analysis method comprises the following steps that 1, a heat-fluid-solid coupling simulation analysis model of a worm and worm gear pair is built, and a three-dimensional geometric model is built based on the worm and worm gear meshing principle; 2, parameterized grid division is carried out on the simulation analysis model, a tetrahedral unstructured grid is adopted for a fluid domain, and a worm and worm gear tooth surface area is densified; 3, based on the fluid dynamics theory and an RNG # imgabs0 # turbulence model, establishing an oil-immersed lubricating oil gas two-phase flow transient simulation model, and solving fluid dynamic pressure and a convective heat transfer coefficient through a pressure-speed coupling algorithm; 4, establishing a three-dimensional transient dynamic simulation model based on a solid mechanics theory, combining a temperature-stress coupling field equation, adopting an explicit dynamic algorithm, and iteratively solving thermal deformation and stress strain of the worm and the worm gear through a finite element method; and 5, bidirectionally transmitting the pressure of the fluid domain, the convective heat transfer coefficient and the thermal deformation data of the solid domain through the fluid-solid interface, and carrying out iterative solution until convergence.

The invention discloses a test device and a test method for filling fracture seepage-erosion visualization. The test device comprises a fracture overflowing model, a fluid flow control system and an image and pressure data acquisition and analysis system. The fracture overflowing model has the appearance of a real rock fracture surface, and the opening degree can be quantitatively adjusted through a filler gauge gasket; the fluid flow control system uses a peristaltic pump and a stirrer to provide constant-flow fluid and particle input for the fracture overflowing model; according to the test device, the light transmission principle is utilized, quantitative and visual observation and research of the seepage-erosion process of the filled fracture are achieved, and form and permeability evolution data of a particle erosion area in the filled fracture are accurately obtained.

The invention discloses a cross-scale multi-physics-field coupling aero-engine warming-up process analysis method. The method comprises the steps that firstly, an engine air system one-dimensional network model, a fuel and lubricating oil system one-dimensional network model, a wheel disc and cartridge receiver two-dimensional axial symmetry model, a blade parameterization model and a main runner quasi-one-dimensional model are established; then calculating an air system boundary and a fuel and lubricating oil system boundary by using a main runner cavity method, then calculating the fuel and lubricating oil system boundary and the air system boundary by using a one-dimensional transient fluid network method to obtain a heat exchange boundary of a wheel disc and a cartridge receiver, and considering a thermal load and a centrifugal load in an unsteady state heat conduction process; calculating the radial displacement of the wheel disc and the casing by using a two-dimensional axisymmetric finite element method, and calculating the temperature and the radial displacement of the blades by using an engineering algorithm; and finally, integrating the radial displacement of the wheel disc, the blades and the casing and the initial blade tip clearance value to obtain the blade tip clearance value of each stage in the transient process, and feeding back the blade tip clearance value to the mainstream model again to realize iterative calculation. The analysis precision of each physical field is improved, and the calculation time consumption is reduced.

The invention relates to the technical field of water resource management and forecasting, in particular to a deep learning model building and forecasting method based on hydrological mechanism fusion. The method specifically comprises the following steps: constructing a snow melting calculation module and a soil calculation module, splicing to form a runoff production model, constructing a confluence calculation module, executing confluence evolution simulation of a calculation result of the runoff production module by using the confluence calculation module, and constructing a confluence model. In confluence model simulation calculation, according to the number of calculation units, a broadcast calculation strategy and an array-based ordinary differential equation solving method are adopted, parallel calculation of the multiple calculation units is achieved, and runoff production calculation results of the multiple units are obtained; and integrating and calculating runoff production calculation results of each unit through a confluence model to obtain a runoff prediction result of the modeled drainage basin after confluence. The method provided by the invention solves the problems of low model construction efficiency and poor practical application effect faced by the application of the deep learning technology in the hydrological model at present.

The invention discloses a microchannel condenser flow distribution global simulation method and system, and relates to the field of microchannel condenser flow distribution calculation. The method comprises the following steps: firstly, constructing a heat transfer and resistance model and forming a single-channel model by combining the size and structure of a parallel channel of the condenser and working medium flow heat exchange characteristics, and constructing a shunting and converging numerical model according to an inlet and outlet area structure of the condenser; secondly, numerical simulation is conducted on the division and convergence numerical model, and stable initial field distribution is obtained; then, determining the mass flow rate of each channel based on the shunting initial field, calculating the back pressure of the channel by taking the mass flow rate as the inlet boundary condition of a confluence model, calculating the inlet pressure of the channel through a single-channel model, and updating the outlet boundary of the shunting model; and finally, iterating the process until the channel mass flow error is smaller than a limit value, obtaining the distribution of the sub-confluence three-dimensional physical field and the one-dimensional flow heat exchange parameters and the heat exchange amount of the parallel channels, and checking whether the heat exchange amount meets the design requirements or not. The method gives consideration to calculation efficiency and precision, can provide support for structure optimization of the micro-channel condenser, and is suitable for micro-channel condenser design in the fields of refrigeration equipment, air conditioning systems and the like.

The invention belongs to the technical field of ocean engineering, and particularly relates to a potential flow-viscous flow real-time coupling hydrodynamic analysis method and system for a floating body with a heaving plate. The method comprises the following steps of: 1, establishing a free surface potential flow model based on a three-dimensional potential flow theory, simulating wave-structure interaction, ignoring a viscous effect, converting a frequency domain result of a hydrodynamic load into a time domain load through a frequency-to-hour method, and taking the time domain load as an input for solving a motion state; 2, establishing an unbounded viscous flow CFD model, viscous force not covered by a potential flow model and an updated unbounded turbulent flow field around the heaving plate, and calculating the viscous force of the heaving plate; 3, establishing an unbounded potential flow model, and separating a force component repeated with the potential flow from a viscous flow result; 4, integrating the potential flow force and the viscous force to solve a floating body motion equation, iteratively updating the motion state and feeding back the motion state to the two solvers. The method is used for solving the problems that the efficiency is correspondingly reduced if the precision is improved and the precision cannot meet the requirement if the efficiency is improved in the prior art.

The invention discloses a wind field yaw wake flow hybrid modeling method and device fusing simulation and deep learning. The method comprises the following steps: firstly, introducing a yaw-corrected actuating disc model, constructing a volume force source item under the yaw action of each fan, performing steady-state computational fluid mechanics simulation on the yaw wake flow of the wind field by combining a Reynolds average Navier Stokes method and a k-epsilon turbulence model, and constructing a yaw wake flow database of the wind field; and then, training the yaw wake flow database by using a deep neural network, and learning a nonlinear mapping relationship between a wind field input wind speed and a multi-fan yaw angle combination and an incoming flow wind speed of each fan, so that a wind field yaw wake flow data driving model is established, and real-time prediction of wake flow characteristics under non-consistent yaw configuration is realized. Compared with an existing yaw wake flow model, the method has the advantages that the technical difficulty of wake flow modeling of multi-fan non-consistent yaw is effectively solved, the prediction speed is remarkably increased while the modeling precision is improved, and the method has high engineering application value.

The invention discloses a multi-energy coupling temperature field control method and system based on intelligent optimization, and relates to the technical field of intelligent control, and the method comprises the steps: extracting temperature field space-time features through an ST-CNN space-time convolution network in the aspect of energy efficiency optimization, solving a Pareto leading edge of a multi-objective optimization model in combination with an NSGA-III algorithm, and solving the Pareto leading edge of a multi-objective optimization model; the system achieves the optimal balance among the electro-thermal conversion efficiency, the refrigeration coefficient and the human body comfort level; secondly, in the aspect of control precision, a 3D convolution kernel and an LSTM module are adopted to cooperatively analyze the dynamic law of a temperature field, and in cooperation with CFD turbulence model simulation verification, the temperature control error can be reduced to a small range, and the space temperature uniformity is obviously improved; finally, in the aspect of system intellectualization, autonomous iterative optimization of control parameters is achieved through a near-end strategy optimization algorithm, a closed-loop control system of perception-decision-execution-feedback is formed, and the manual intervention requirement is reduced or eliminated.

The invention relates to a numerical simulation-based energy efficiency evaluation method and system for an energy-saving device in front of a ship propeller, and the method comprises the steps: respectively obtaining geometric models of a ship, a propeller, a rudder and the energy-saving device in front of the propeller, respectively building corresponding three-dimensional numerical models through CAD software, and then assembling the three-dimensional numerical models into a closed geometry; dividing the closed geometry into a plurality of computational domains, performing grid division and encryption of the same scale, and reserving the grids of which the grid number is within a preset number threshold range of each set of encrypted grids; then respectively constructing a light body ship CFD model and a ship CFD model additionally provided with an energy-saving device, and screening out an optimal turbulence model by using an RANS method; then, numerical simulation is conducted on self-propulsion tests of the light body ship CFD model and the energy-saving device added ship CFD model through the reserved grids and the optimal turbulence model, and an equal-vehicle-speed variable-rotation-speed strategy is adopted in the numerical simulation process; and finally, the energy-saving effect of the energy-saving device is calculated based on the propeller rotating speeds and torques of the two models.

The invention discloses a fluid simulation method for a semi-welded plate heat exchanger, which relates to the technical field of heat exchanger simulation and comprises the following steps: acquiring porous medium parameters of a porous medium model by using a single-side medium three-dimensional model; performing grid division on the single-side medium three-dimensional model to obtain a grid division result of the single-side medium three-dimensional model; according to the porous medium parameters of the porous medium model and the grid division result of the single-side medium three-dimensional model, preliminary flow field trial calculation is carried out based on a k-omega SST turbulence model, and a preliminary flow field trial calculation result is obtained; fitting processing is carried out based on the preliminary flow field trial calculation result, and a semi-welded plate type alternating current device fluid simulation result is obtained. According to the method, single-side overall pressure drop prediction of the semi-welded plate heat exchanger is achieved, on the basis, the turbulence model is used for predicting the flowing condition of media between the plates, the accuracy of heat exchanger flow field calculation is greatly improved, flowing near the wall faces of the plates is closer to the actual state, and the positive effect on prediction of the performance of the heat exchanger is achieved.

The invention relates to the technical field of pumped storage, in particular to a CFD wear model correction method and system based on a high-speed rotating disc test. The method comprises the following steps: screening a plurality of groups of test particles with different hardness proportions to carry out a high-speed rotating disc wear test; measuring the test wear depth of the surface of a test piece; constructing a solid-liquid two-phase flow model of a high-speed rotating flow field based on CFD simulation; calculating the simulated wear depth by adopting a standard Oka model; and introducing the material yield strength, inversely coupling the material strength influence coefficient through test data to generate a yield strength correction factor, and integrating the particle hardness correction factor and the yield strength correction factor to reconstruct a standard Oka model. According to the method, the particle hardness and the material yield strength are considered at the same time to realize collaborative correction, so that the prediction deviation of different hardness particle working conditions is solved, and the accuracy of wear depth prediction is improved under the high-rotating-speed working condition.

The invention discloses a heavy gas signal verification method based on double-floating-ball gas relay baffle stress. The heavy gas signal verification method comprises the following steps that a double-floating-ball gas relay heavy gas signal response platform is built; establishing a simulation model according to the structural parameters and material data of the gas relay in the step 2; compiling a stress analysis model of the double-floating-ball gas relay by using UDF, importing FLUENT software, and simulating the motion characteristics of the baffle by using a dynamic grid method; starting an energy equation and an SST k-omega turbulence model in sequence; setting numerical calculation parameters including physical parameters of the insulating oil, boundary conditions, a solving method and solving precision; simulating and calculating the stress corresponding to the baffle plate at the heavy gas action moment of the gas relay according to the action of different excitation pressure intensities, and judging whether the stress corresponding to the baffle plate at the heavy gas action moment measured by the test and simulation accords with each other or not; the invention provides a powerful tool for optimizing the design of the gas relay and improving the safe operation of the transformer.

The invention belongs to the technical field of oil and gas field development engineering and multiphase flow numerical simulation, and relates to a rapid prediction method for gas-liquid two-phase flow key flow parameters of a horizontal gas well. Constructing the mixed momentum equation, the mass conservation equation and the drift velocity constitutive relation into a partial differential equation residual group; secondly, constructing a physical information Fourier operator network architecture, and learning integral operator mapping from working condition parameters to flow field distribution in a frequency domain by using a lifting layer, a Fourier layer and a projection layer; and finally, calculating a partial derivative of an output variable relative to a space-time coordinate by utilizing an automatic differential technology, and constructing a loss function fusing a data error and a physical PDE residual error to carry out model training. According to the method, millisecond-level accurate prediction of the pressure, the liquid holdup and the flow velocity field of the whole wellbore is achieved, and the problems that traditional numerical simulation calculation is long in time consumption, the real-time monitoring requirement is difficult to meet, and a pure data driving model lacks physical consistency are solved.

The invention discloses a numerical simulation method for oil product evaporation and oil gas concentration distribution prediction in a confined space, and belongs to the technical field of oil product evaporation simulation in the confined space, and the method specifically comprises the following steps: constructing an oil product evaporation multiphase flow model of the confined space; the Lee phase change model is improved through a user-defined function UDF, and the difference value between the vapor partial pressure and the saturated vapor pressure is dynamically calculated to trigger the evaporation process; performing CFD simulation on an oil and gas distribution rule in the confined space; performing comparison verification on the CFD simulation result and experimental data; and predicting the time-varying concentration gradient distribution rule of oil and gas in the limited space based on the Lee phase change model. According to the numerical simulation method for oil product evaporation and oil gas concentration distribution prediction in the limited space, the concentration gradient distribution rule of oil gas in the limited space can be accurately predicted, an important reference basis is provided for an oil product leakage emergency disposal strategy, and the prevention and control capacity and the emergency disposal efficiency of oil product leakage accidents can be improved.

The invention discloses a multi-fidelity co-simulation management method and system for a pneumatic transportation pipe network system, and belongs to the technical field of computer simulation. The method comprises the steps of topology analysis and feature extraction, and analysis of a topology structure; simulation dynamic allocation: dynamically allocating a simulation model for each pipe section based on a preset strategy rule base; the simulation tasks are packaged and dispatched, and the continuous pipe sections distributed with the same simulation models are distributed; performing data coupling and consistency verification, and taking a calculation result of the upstream pipe section as an input boundary condition of calculation of the downstream pipe section; global results are synthesized, and results of all parallel computing tasks are automatically collected. According to the method, a one-dimensional theoretical model or a differentiated three-dimensional CFD model is accurately matched for different flow regime areas (a straight pipe flow field development area, a bent pipe separation area and the like) based on pipe section topological characteristics through dynamic model adaptation, the efficiency of a non-key section is guaranteed through the one-dimensional model, the flow regime of a key section is restored through a high-precision turbulence model, and cooperation of precision and efficiency is achieved.

The invention discloses a turbulence correction and verification method based on a wind lidar. The method comprises the following steps: S1, constructing grid data of a test area based on DEM data with 30m resolution and a vegetation coverage map with 30m resolution of the test area; s2, on the basis of the grid data of the test area, fluid simulation parameters, simulation reference wind speed and reconstructed wind speed of the test area are obtained through fluid simulation calculation, so that a wind speed correction coefficient is obtained; parameters of fluid simulation comprise a turbulence model, an inlet inflow broad line and roughness; s3, real-time wind speed and real-time wind direction are obtained based on the test area foundation wind measurement laser radar, and real-time turbulence is obtained through calculation; compared with the prior art, the virtual anemometer tower is constructed on the basis of a plurality of three-dimensional laser anemometer radars, point location measurement of a traditional anemometer tower is replaced by point location measurement of the virtual anemometer tower, and a convenient, real-time and reliable data source is provided for turbulence correction and verification of the foundation anemometer laser radars. And the accuracy of actual measurement of turbulence based on the ground-based anemometry laser radar is improved.

The invention discloses an oil and gas shaft multiphase flow simulator MphaseSim modeling method and a PINN solving method, and relates to the technical field of oil and gas field exploitation, and the method comprises the following steps: pre-calibrating a modeling strategy, including calibrating gas-liquid two-phase flow, and calculating the average flow velocity according to the section occupied by the gas-liquid two-phase flow; mass transfer can occur between the calibrated gas and liquid phases, but the gas and liquid phases are always in a thermodynamic equilibrium state; in calibration steady-state analysis, the mass flow of any section of the shaft is equal, and the liquid holdup is calculated through a drift-assisted equation. According to the method, on the basis of a mass-momentum-energy coupling mathematical model, the SRK state equation and the drift flow model are combined, the phase change characteristics, momentum transfer and energy conversion rules of the gas phase and the liquid phase can be accurately represented, the model sealing performance is good, and the physical significance is clear; and the device can be stably applied to different types of oil and gas well scenes such as gas wells, deep oil wells and electric submersible pump wells, has no obvious numerical value divergence problem in long shaft flow simulation, and can effectively reflect the real production state of the shaft.

The invention discloses a method for optimizing key structure parameters of a deep well electric submersible pump based on performance simulation, and relates to the technical field of design optimization of electric submersible pumps, a three-dimensional geometric model of a deep well submersible centrifugal pump is built in advance, the three-dimensional geometric model comprises an impeller, a guide shell, a pump shaft, a pump shell, an upper connector, a lower connector and a full-flow-channel structure, and initial structure parameters are calibrated; and establishing a centrifugal pump simulation model based on a computational fluid dynamics technology, performing fluid domain extraction, grid division and grid independence verification on the three-dimensional geometric model, and setting fluid attributes, boundary conditions and a turbulence model. According to the method, a closed-loop iteration framework for simulation, optimization, evaluation and feedback is constructed by adopting a mode of coupling a computational fluid dynamics simulation technology and a genetic algorithm, the limitation of local parameter optimization in the prior art is broken through, systematic and collaborative optimization of key structure parameters of the submersible centrifugal pump is realized, and the method is suitable for large-scale popularization and application. And the efficiency of the optimization process and the final optimization effect are obviously improved.

The invention discloses a method and a system for analyzing scouring toughness of a bridge pile foundation. The method comprises the following steps: constructing a simplified finite element model of the bridge pile foundation; constructing a soil spring model, and coupling the soil spring model with the bridge pile foundation simplified finite element model to form a bridge pile-soil system finite element model; establishing a cylindrical streaming model based on Fluent to obtain a water flow load of the lower structure of the bridge; calculating a scouring load; removing insensitive parameters; loading a water flow load and a scouring load into the bridge pile-soil system finite element model, taking sensitive parameters as input variable parameters, performing finite element analysis, outputting a response result, and forming a sample working condition combination; constructing a BP neural network agent model through sample working condition combination; establishing a vulnerability curve, and constructing pile foundation performance functions in different damage states; performing weighted summation on the pile foundation performance functions to obtain a comprehensive performance function; and calculating the comprehensive performance function to obtain a bridge pile foundation scouring toughness index. According to the invention, toughness-based bridge scouring performance evaluation is realized.

The invention provides a runner blade optimization method of a mixed-flow water turbine and a runner. The method comprises the steps that a full-flow-channel three-dimensional model of a flow passage component of the mixed-flow water turbine in the water flow direction is established; a mixed turbulence model is selected, boundary conditions are set, simulation results of the runner under different design working conditions and critical working conditions are obtained, and a core loss area restricting maximum output is determined; setting meridian plane parameters, airfoil section parameters and space distortion parameters of the runner blade according to the position of the core loss area; based on the multiple sets of blade parameters, parameterized models of the runner blades are established respectively; comparing and analyzing simulation results of the plurality of parameterized models under the same working condition, and screening target blade parameters with high relevancy with the maximum output; and based on the target blade parameter, optimizing the runner blade so as to improve the maximum output of the mixed-flow water turbine. Through the optimization method provided by the invention, the problems of insufficient flow field coupling consideration, limited parametric modeling dimension, single optimization target and the like are solved.

The invention provides a method and device for constructing a dynamic model of a thermodynamic system, and the method comprises the steps: determining a process frequency domain topology linear constraint and a frequency response function characteristic of a part based on the heat transfer, transportation and conversion process of a heat exchanger and related parts, and constructing a frequency domain heat flow model; constructing a frequency domain equivalent heat flow model based on the frequency domain heat flow model and the topological connection relationship between the components, and establishing an overall heat flow model control equation set by using the Kirchhoff's law; based on the working medium flowing process of the heat exchanger and related parts, the function relation between the pressure change and the mass flow of the working medium after the working medium flows through all power and / or resistance parts is determined, and a power resistance balance equation set of the working medium flowing process is established; the coupling relation between the working medium flow process and the heat transfer, transportation and conversion process is analyzed, a constraint equation set between the working medium pressure and the temperature is established, and a frequency domain overall model for dynamic analysis of the thermodynamic system provides powerful support for performance analysis and regulation and control of the dynamic process of the complex thermodynamic system.

The invention provides a business workflow dynamic arrangement and optimization method based on a large model agent, and the method comprises the steps: (1) analyzing the features and operation logic of a multi-element business workflow, and defining a business workflow description language; and (2) decomposing a complex business process construction process, and providing a layered process modeling system to guide a large model agent to construct a workflow model. And (3) constructing a task execution queue based on the task dependency relationship, and dynamically executing and monitoring the workflow. And (4) according to the execution log of the business workflow, discovering the bottleneck, redundancy and abnormity of the workflow model by adopting a process mining algorithm, and proposing a process improvement and optimization strategy. And (5) constructing a collaboration framework of a plurality of large model agents, and realizing dynamic arrangement, monitoring and optimization of the business workflow. According to the method, the defects that the current business workflow construction depends on experience of designers, and effectiveness and function requirements are difficult to guarantee are overcome; the defect that the business workflow is difficult to adapt to dynamic demand changes is overcome.