278 results about "Fluid models" patented technology

The invention relates to the technical field of fluid control, and discloses a fluid control intelligent adjusting method and system for a micro-fluidic chip, and the method comprises the steps: carrying out the data collection of a self-adaptive fluid controller, a micro-fluidic channel pressure sensor array, a temperature sensor array and a flow sensor array based on the micro-fluidic chip; obtaining real-time fluid parameter monitoring data; performing feature extraction to obtain a multi-dimensional fluid feature matrix; establishing a three-dimensional fluid model of the microfluidic channel, and solving to obtain flow field distribution data; inputting the flow field distribution data into a Kriging agent model, establishing a mapping model of channel width, depth, length and fluid control performance, and calculating to obtain an optimal geometric parameter combination; and performing multi-level calculation on the fluid pressure uniformity, the temperature distribution uniformity and the flow stability to obtain a hierarchical fluid parameter control strategy. According to the invention, the problem of multi-physics field coupling is effectively solved, the calculation complexity of the control system is reduced, and the execution efficiency of the control strategy is improved.

The invention discloses a boiler fault early warning and diagnosis method, device and equipment and a storage medium, relates to the technical field of fault diagnosis of industrial boiler equipment, and discloses a boiler fault early warning and diagnosis method which comprises the steps that main heating surface information, historical data and current boiler heating parameters of a boiler are obtained; establishing a boiler model according to the main heating surface information, and establishing a damage early warning library according to the historical data; obtaining a boiler area and a preset boundary condition according to the boiler model, the historical data and an adaptive grid strategy, and constructing a fluid model and a solid model according to the boiler area and the preset boundary condition; and obtaining an early warning result according to the current boiler heating parameter, the fluid model, the solid model and the damage early warning library, and performing safety diagnosis according to the early warning result. Through establishment of a damage early warning library and fluid-solid combined analysis, early warning and safety diagnosis of faults of the main heating surface of the boiler are realized.

The invention discloses a curved surface grid generation and self-adaptive re-division method for fluid simulation. The method comprises the following steps: acquiring CAD fluid model data; processing closed surface, short edge and parameter domain distortion and geometric interference problems of the CAD fluid model to obtain a defect-free continuous geometric model; performing curved surface discretization processing on the defect-free continuous geometric model to generate an initial grid; and performing grid re-division processing on the initial grid to generate an optimized anisotropic curved surface grid. The problems of high geometric defect sensitivity, large isotropic grid redundancy and sudden size change of the tail end of a parameter domain in related technologies of fluid simulation are solved.

The invention discloses a PSO-based multi-conditional constraint gas storage injection-production scheme optimization method and computer equipment, and relates to the technical field of energy storage, and the PSO-based multi-conditional constraint gas storage injection-production scheme optimization method mainly comprises the following steps: according to core data, logging data, seismic data and static fluid data of a gas storage, obtaining a PSO-based multi-conditional constraint gas storage injection-production scheme; a gas storage three-dimensional geologic model and a gas storage fluid model are constructed, fitting and inversion are performed by using a numerical simulation method and historical production data, a gas storage injection-production well is selected as an injection-production optimization object, an optimization model, a gas storage operation objective function and a multi-constraint condition are constructed, and an optimal injection-production allocation scheme is obtained by using a particle swarm algorithm. According to the multi-condition constraint gas storage injection-production scheme optimization method based on PSO and the computer equipment, the single-well injection-production gas quantity can be optimized, the gas storage production allocation scheme design is achieved, and long-term stable and safe operation of the gas storage is guaranteed.

A method and a system for optimization of development by carbon dioxide injection based on incomplete miscibility characteristics are provided, where the method includes following steps: building a three-dimensional reservoir model based on laboratory experiments and reservoir values, where the three-dimensional reservoir model includes: a fluid model and a reservoir model; based on the three-dimensional reservoir model, obtaining incomplete miscibility characteristics of reservoir development by carbon dioxide injection; and completing whole life cycle optimization development of carbon dioxide injection based on the incomplete miscibility characteristics.

The invention belongs to the technical field of underground water pollution source tracking, and particularly relates to an underground water pollution source analysis method based on multiple tracers and electronic equipment. The method comprises the following steps: setting a monitoring point; acquiring concentration information of various tracers in the underground water; drawing a plurality of tracer agent spatial distribution diagrams; determining an initial key pollution area and an initial migration diffusion area; simulating the historical pollution state of underground water according to the underground water fluid model; simulating a historical key pollution area and a historical migration diffusion area of underground water by combining the initial key pollution area and the initial migration diffusion area; and determining a pollution source and a migration and diffusion direction according to changes of the historical key pollution area and the historical migration and diffusion area. The underground water flow information is introduced, the determined pollution source position is accurate, a fluorescent tracer agent does not need to be put, and underground water is not affected.

The invention provides a carbon dioxide phase change blasting numerical simulation method based on an FDEM. The carbon dioxide phase change blasting numerical simulation method comprises the following steps that a carbon dioxide adiabatic expansion p-V relation is determined according to a Span-Wagner fluid model; establishing a finite-discrete element (FDEM) numerical model, and setting a non-reflection boundary; determining mesoscopic parameters in the FDEM model according to the physical and mechanical parameters of the rock mass; and applying a carbon dioxide phase change blasting load, and solving a finite-discrete element (FDEM) model. According to the method, the Span-Wagner fluid model recommended by the American national standard is adopted to replace a traditional ideal gas model to calculate the adiabatic p-V relation of the carbon dioxide, the description of the carbon dioxide pressure is closer to the reality, the value of the FDEM mesoscopic parameter is associated with the physical and mechanical indexes of the rock mass, a theoretical basis is provided, the reasonability of the parameter value is ensured, and the method has the advantages of high reliability and high reliability. Therefore, a carbon dioxide blasting numerical simulation result is close to an actual application result, and the accuracy of the numerical simulation result is improved.

The invention discloses a non-linear production and confluence characteristic analysis method for a valley terrain extra-small watershed. The method comprises the steps that S1, valley terrain-hydrological data are acquired, and hydrological grid units are spatially divided; s2, identifying hydrological behavior characteristics of the hydrological grid units to form independent hydrological response units; s3, analyzing a first influence degree formed by rainfall infiltration, a second influence degree formed by surface runoff and a third influence degree formed by dynamic change of soil moisture in the hydrological response unit, and constructing a valley dynamic fluid model; s4, combining the valley dynamic fluid model with the underground water flow model and the surface water flow model to form a hydrological-hydrodynamic simulation framework; and S5, simulating various rainfall scenes by using a hydrological-hydrodynamic simulation framework, performing analysis in combination with valley microtopography factors, calculating flow change rates of different rainfall scenes, and identifying nonlinear features. According to the method, high-precision simulation and prediction of the valley terrain extra-small watershed are realized, and the accuracy and timeliness of productivity and confluence analysis are improved.

The invention discloses a fluid optimization method for a hydraulic torque converter, which comprises the following steps of: constructing a geometric model of the hydraulic torque converter, generating a hydraulic torque converter model, and further performing grid division on the hydraulic torque converter model; setting a preset fluid model, setting fluid attributes of the preset fluid model, and further setting a preset boundary condition and an initial flow field condition; calculating an internal flow field of the hydraulic torque converter by adopting a preset solving method, analyzing a flow field result and identifying an abnormal region with energy loss exceeding a preset range; carrying out preset structure optimization on the hydraulic torque converter, generating a hydraulic torque converter optimization model, carrying out fluid dynamic simulation, and verifying an optimization result; and circulating the optimization process until the optimization model of the hydraulic torque converter meets a preset optimization requirement. According to the fluid optimization method for the hydraulic torque converter, the distribution of the flow field in the hydraulic torque converter can be deeply researched through analogue simulation, an energy loss source is found out, and a targeted optimization scheme is put forward.

The invention discloses a combustion chamber wall surface pit array structure design method and a combustion chamber. The method comprises the following steps: extracting a three-dimensional fluid model and carrying out bench test; establishing and verifying an in-cylinder combustion and emission simulation model; performing temperature field bench test on the cylinder cover, the piston and the cylinder sleeve; establishing and verifying a heat transfer simulation model; establishing a heat engine coupling simulation model; parameterization design is conducted on the pit array structures on the piston, the cylinder sleeve and the cylinder cover, a collaborative optimization mathematical model of pit array structure design is established, an optimal solution set is obtained, and typical solutions are selected; key parts in the typical solution are machined, an installation test is carried out, and the optimal pit array structure design scheme is obtained through the test. According to the pit array structure obtained through the collaborative optimization design method, the weight of components can be reduced, a turbulent layer can be formed on the near wall face of the combustion chamber to promote oil-gas mixing, then nitric oxide and particulate matter are reduced, and the combustion performance of an engine is improved.

The invention discloses a large-particle pneumatic conveying pipeline optimal wind speed calculation method based on digital twinning and machine learning, and the method comprises the steps: S1, carrying out the digital twinning modeling of a gas fluid region and large-volume particles, including an overall pipeline fluid model, fluid region grid division, a large-particle model, and a large-particle transportation volume fraction algorithm; s2, a gas-solid coupling numerical simulation experiment is carried out to calculate simulation data, and the optimal conveying wind speed for conveying spherical particles with different volumes and masses is obtained; and S3, fitting simulation data by adopting multiple linear regression analysis in machine learning, establishing a pipeline optimal wind speed calculation model, and determining a high-order term order of an independent variable. According to the method, digital twinborn modeling is conducted on the pneumatic conveying pipeline and the large-size particles, the optimal conveying wind speed for conveying the spherical particles of different sizes and masses is obtained through a gas-solid coupling numerical simulation experiment, and it is avoided that data are obtained through complex, tedious and even difficult-to-execute actual experiments.

The invention discloses a conservation quantity transformation method in numerical simulation of a multi-phase leakage accident of a fourth-generation reactor. The conservation quantity transformation method comprises the following five steps: 1, determining a two-phase medium and working condition parameters; 2, describing a high-pressure-difference gas-liquid two-fluid model by adopting a conservation law mode, wherein the high-pressure-difference gas-liquid two-fluid model comprises a four-equation model, a five-equation model and a six-equation model; 3, determining an original variable expression and a conservation variable expression of the solving equation, and obtaining a numerical value of a conservation variable; 4, iteratively solving a nonlinear equation set according to a thermodynamic relationship of physical properties; and 5, calculating other original variables. The method has the advantages that the conservation characteristic of an equation set is not damaged, self-consistent physical property parameters and various original variables can be more stably and efficiently calculated, and the method can be easily applied to an existing tight template high-order method or other explicit conservation law solving methods; and a foundation is established for numerical simulation and safety evaluation software development of fourth-generation reactor multiphase leakage accidents.

The invention provides a flow field analysis method capable of optimizing an anti-blocking adjusting stop valve structure, and belongs to the technical field of stop valves, and the method comprises the following steps: S1, based on an energy minimum multi-scale model, dividing each phase medium into a dense phase and a dilute phase through calculation of each phase distribution in each region in a valve; s2, correcting an inter-phase momentum transfer resistance relationship of the liquid-solid two-phase quasi-fluid model, and establishing a mass transfer and drag action relationship between a dilute phase and a dense phase to form a first-stage model; s3, performing medium serialization on the physical image of the first-stage model to form a single dilute phase and a single concentrated phase, establishing a mass exchange and drag action relationship between the dilute phase and the concentrated phase, ensuring that the concentrated phase and the dilute phase meet mass conservation, and constructing a second-stage model; according to the method, the defects of homogeneous hypothesis are corrected through the multi-stage model, the influence of particle aggregation on flow can be reflected, liquid-solid two-phase flow simulation is closer to the actual working condition, and the prediction error of the erosion risk area is greatly reduced.

The invention discloses a deep-sea mining numerical simulation method based on a pseudo-fluid model and related equipment. The method comprises the following steps: firstly, setting an initial velocity field, an initial pressure field and initial particle concentration distribution in the deep-sea mining pipeline; defining boundary conditions of an inlet and an outlet of the deep-sea mining pipeline; finally, numerical simulation is conducted on the deep-sea mining pipeline through the pseudo-fluid model, a deep-sea mining numerical simulation result is obtained, and the deep-sea mining numerical simulation result comprises pressure distribution, a velocity field, particle concentration distribution, effective density and effective viscosity. In the process, the solid particles are simplified into the pseudo fluid by utilizing the pseudo fluid model, so that the effective density and the effective viscosity are introduced, numerical simulation can be performed on the deep-sea mining pipeline by utilizing the effective density and the effective viscosity, and compared with traditional algorithm calculation, the calculation complexity is simplified, and the numerical simulation efficiency is also improved.

The embodiment of the invention provides a heat dissipation simulation method, device and equipment of a wind generating set and a storage medium, and relates to the technical field of wind power. The method comprises the following steps: acquiring a structure simplification model and a fluid simplification model of the wind generating set; grid division is carried out on boundary layers of the structure simplification model and the fluid simplification model, and grid density is adjusted according to target parameters; based on to-be-simulated wind power plant information, heat dissipation related parameters of all structural grids in the structure simplification model are solved, and heat dissipation related parameters of all fluid grids in the fluid simplification model are solved; outputting a heat dissipation simulation report according to the heat dissipation related parameters of the structural grids and the heat dissipation related parameters of the fluid grids; the heat dissipation simulation report is used for describing the heat dissipation condition of the target part when the wind generating set operates under the to-be-simulated wind power plant information. The method is used for achieving the effects of improving the heat dissipation simulation precision and efficiency of the wind generating set and the like.

The invention discloses a flip flow energy dissipation scouring numerical simulation method and device and a storage medium, and relates to the technical field of water conservancy projects. The method comprises the steps that a multiphase fluid model and physical parameters are set in a CFD solver, and a fluid control equation is solved; a particle set is generated in the DEM solver, and physical and mechanical parameters and interaction parameters of particles are set; the CFD solver calculates the acting force of the fluid on the particles based on the flow field information and transmits the acting force to the DEM solver; the DEM solver solves a particle motion equation according to the acting force, the motion state of the particles is updated, and the updated motion state of the particles is transmitted back to the CFD solver; the CFD solver solves the fluid control equation again according to the particle motion state, and the flow field information is updated. According to the method, the interaction process between the fluid and the particles is considered, information interaction between fluid distribution and particle movement is achieved, and the simulation precision of the hydraulic scouring process is improved.

The invention relates to the technical field of minimally invasive vascular interventional operations, in particular to an adjustable balloon expansion pressure pump and an intelligent control method thereof.The method comprises the steps that a real-time image of a connecting pipe is obtained based on perspective imaging equipment, positioning information of a marker in the connecting pipe is recognized, and an initial parameter set is generated; constructing a fluid model according to the initial parameter set, and generating a fluid parameter set by taking distance information between the first identification body and the second identification body as a constraint condition; controlling pump body output pressure according to the fluid parameter set to generate a pre-expansion parameter set; the fluid model is updated based on the pre-expansion parameter set, the pump body is controlled to execute a pressure instruction in the dynamic pressure sequence, a second change value of the distance information is obtained, and a regulation and control data set is generated according to the second change value; and optimizing the regulation and control data set, and controlling the output pressure of the pump body to a target value until the balloon is completely opened. The success rate and safety of balloon dilatation are remarkably improved, and the balloon dilatation process is more controllable and efficient.

The invention discloses a multiphase mixed fluid monitoring and analyzing method for an oil and gas well exploitation process, which comprises the following steps of: aiming at separated signal characteristic distribution of each phase state, performing parameter matching by utilizing an established multiphase fluid model, and calculating an instantaneous flow value of each phase state by combining a hydrodynamic equation; obtaining respective flow parameter results of oil, gas and water; carrying out time sequence integration on the instantaneous flow parameter result, and carrying out continuity verification on the flow data by adopting a sliding window technology to obtain a flow time sequence data set subjected to smooth processing; and for the yield statistical result of each phase state, generating a dynamic characteristic curve by using a data visualization technology, and performing trend comparative analysis in combination with historical data to obtain the fluctuation rule description of the production dynamic characteristics. Accurate yield monitoring of oil and gas well multiphase fluid is achieved, reliable data support is provided for oil and gas field production management, production scheme optimization is facilitated, and oil and gas resource exploitation efficiency is improved.

The invention relates to the technical field of underground water state evaluation, and discloses an underground water level dynamic evaluation method based on multi-source data mapping and fluid model correction. The invention aims to solve the technical problems of insufficient underground water level monitoring precision and lack of space details caused by low spatial resolution of existing satellite gravity detection data and difficulty in accurately separating a deep underground water change signal from a land total water reserve signal. According to the method, through space-time reference unification of multi-source heterogeneous data, high-resolution surface texture features are utilized to guide a low-resolution gravitational field to carry out space downscaling reconstruction; surface water body and soil water reserve signals are removed layer by layer in combination with spectral characteristics and a thermal inertia principle; and introducing measured data to construct a spatial error correction curved surface of specific yield parameters, and identifying the underground water funnel by using an image connected domain analysis technology.

The embodiment of the invention discloses an aneurysm rupture risk prediction device, a model training device and a storage medium. The prediction device comprises a first three-dimensional model construction module used for constructing a three-dimensional fluid model and a three-dimensional solid model based on target artery three-dimensional imaging data; the first fluid-solid coupling simulation model building module is used for building a computational fluid dynamics simulation module based on a three-dimensional fluid model, building a static solid analysis simulation module based on a three-dimensional solid model and then building a one-way fluid-solid coupling simulation model; the first index parameter acquisition module is used for taking the blood flow velocity distribution in the target arterial blood vessel in space and time as the input of the fluid-solid coupling simulation model to obtain a hemodynamic index parameter and a solid mechanics index parameter; and the risk prediction module is used for predicting the rupture risk of the aneurysm based on the hemodynamic index parameters and the solid mechanics index parameters. According to the technical scheme, the prediction accuracy of the aneurysm rupture risk can be improved.

The invention provides a high-filling particle viscous fluid mixed heat generation and transfer multi-scale simulation method and system, and belongs to the technical field of multiphase flow numerical simulation and heat transfer and friction heat generation coupling calculation. A uniform flow-heat generation-heat transfer coupling solution is constructed under a double-fluid model and a KTGF framework; a drag force model more suitable for a dense particle system is introduced in an interphase momentum exchange link; a BVK drag force model is adopted, and dynamic calculation of an interphase exchange coefficient is realized in a solver through a user-defined function; therefore, the prediction consistency of the solid-phase volume fraction distribution and the relative slip velocity under the high filling condition is improved; particle phase dissipation heat generation, solid-liquid interface friction heat generation and particle-wall surface friction heat generation are introduced as controllable heat source items, and are coupled to a liquid phase and particle phase energy equation according to a set heat distribution coefficient, so that the problem that friction related heat sources are difficult to accurately characterize when only software built-in options are relied on is solved.

The invention discloses a spectrograph structure optimization method and device based on fluid model analysis and a spectrograph, belongs to the technical field of echelle grating spectrographs, and particularly relates to structure optimization of the echelle grating spectrographs. The problems that according to an existing echelle grating spectrometer structure optimization method, optimization is not conducted on the influence generated by internal inflation (argon), the influence of mechanical pressure, temperature and optical medium refractive index changes caused by inflation turbulence generated by inflation on a light path cannot be analyzed, and errors are generated are solved. The method comprises a step of determining a final optimal position of the gas inlet / outlet hole from alternative positions of the gas inlet / outlet hole in the Y direction of the side wall by adopting an optimal position selection method based on a uniformity judgment method of a light transmission medium. The spectrograph structure optimization method and device based on fluid model analysis and the spectrograph are suitable for carrying out structure optimization on an echelle grating spectrograph so as to detect a far ultraviolet spectrum.

The invention relates to the technical field of impulse turbines, in particular to an impulse turbine runner wet mode numerical simulation method, which comprises the following steps of: establishing an impulse turbine fluid numerical simulation model comprising a water distribution ring pipe, a direct flow spray pipe and a runner position water body, and defining pretreatment setting comprising a turbulence model, a wall surface function and a boundary condition; solving to obtain the distribution state of the fluid near the runner bucket of the impulse turbine along with the time change; based on a calculation result, selecting a plurality of typical distribution states as wet modal calculation working condition points of the impact type rotating wheel; fluid units corresponding to modal calculation working condition points are extracted from the fluid analysis model and transferred to a wet modal analysis model; combining the obtained fluid unit and the runner structure unit to establish a complete impact type runner wet modal analysis model; defining boundary conditions including structural model freedom degree constraint, fluid model surface constraint and structure and fluid fluid-solid coupling effect; and solving and extracting the wet modal analysis result of the impact runner to obtain the key vibration mode and the corresponding inherent frequency of the runner. According to the method, the key vibration mode and the corresponding inherent frequency of the impulse turbine runner can be obtained by utilizing a numerical simulation method according to the actual soaking state of the runner, and the problems that an impulse turbine runner wet mode numerical simulation method is imperfect and low in precision are solved.

The invention relates to the technical field of automatic control, and provides an intelligent lifting control system and method for automatically adjusting the filling height, and the method comprises the steps that a multi-channel sensing module collects and fuses the current position, speed, bottle type size and energy consumption in real time, and generates multi-dimensional time sequence data; the high-order lifting strategy generation module predicts a synchronization error and a positioning deviation based on the multi-dimensional time sequence data and a dynamic deviation sensing model, and generates a high-order lifting strategy in combination with a productivity requirement; the motion trail planning module solves a target function constrained by motion acceleration and internal pressure of the model according to a high-order lifting strategy and the beer fluid model, generates a trail data point and converts the trail data point into a driving instruction; and the experiment driving optimization module analyzes a track execution effect based on an online disturbance test, continuously acquires data, judges a parameter correction direction, updates a beer fluid dynamic model and generates logic parameters according to a high-order lifting strategy. According to the invention, a multi-channel sensing technology is combined, so that high-precision, quick-response, stable and reliable filling height adjustment is realized.

The invention belongs to the technical field of flow field simulation, and provides a cyclone structure optimization method based on the coupling effect of virtual fluid and an elastomer, and the method comprises the following steps: setting shape parameters of a cyclone, building an elastomer model of an underflow pipe, and setting material parameters of the elastomer model; calculating a steady-state flow field of the conventional fluid model in the swirler; the instantaneous flow field of the virtual fluid model in the cyclone is calculated in sequence at all calculation moments of a preset time domain, the elastic deformation of the underflow pipe is calculated based on the coupling effect of the virtual fluid model and the elastomer model, and the shape parameters of the underflow pipe are updated; and according to the elastic deformation condition of the underflow pipe in a preset time domain and the flow field condition of the virtual fluid model in the underflow pipe, carrying out structure optimization on the underflow pipe of the cyclone or modifying the shape parameter and the material parameter of the elastomer model of the underflow pipe. According to the method provided by the invention, the coupling effect of the elastic underflow pipe and the ore pulp can be efficiently and accurately simulated, and data support is provided for structural optimization of the cyclone.

The invention provides an in-pipe fluid temperature prediction method based on a double-u-shaped-pipe vertical medium-depth geothermal heat exchanger fluid model. The in-pipe fluid temperature prediction method comprises the specific steps that the temperatures of a pipe A descending pipe, a pipe A ascending pipe, a pipe B ascending pipe and a pipe B descending pipe on the ground are obtained; the thermal resistance between the descending pipe of the pipe A and the wall of the drill hole, the thermal resistance between the descending pipe of the pipe A and the ascending pipe of the pipe A and the thermal resistance between the descending pipe of the pipe A and the ascending pipe of the pipe B are obtained; and carrying out dimensionless processing on the obtained numerical values, substituting dimensionless data into the model to calculate and obtain the dimensionless temperature distribution of the u-shaped pipe, and calculating and predicting the temperature of the fluid in the pipe through the obtained dimensionless temperature distribution of the u-shaped pipe. The method has the beneficial effects that the uneven distribution of the temperature of the drill hole wall along the depth is considered, the prediction model of the U-shaped pipe ground heat exchanger is established, and the temperature distribution of the circulating fluid in the U-shaped pipe under the condition of considering the change of the temperature of the drill hole wall along the depth direction is realized.

The invention provides a liquid bridge optical observation system and a method for observing an internal temperature field of fluid by using the same. The observation system comprises a liquid bridge model, an optical module and an acquisition module, the liquid bridge model is a fluid model and is filled with a liquid experiment working medium; the optical module is arranged on the side of the fluid model in a matched mode and comprises a laser, a first reflective mirror, a second reflective mirror, a first semi-transparent and semi-reflective mirror and a second semi-transparent and semi-reflective mirror. And the acquisition module is arranged on an output light path of the second semi-transparent and semi-reflective mirror in a matched manner and is used for recording a light beam output by the second semi-transparent and semi-reflective mirror. Based on quantitative observation of the internal temperature field of the liquid bridge model, quantitative observation of the internal temperature field of the fluid can be effectively realized through optical non-contact measurement.

The invention relates to the technical field of digital twinning, and discloses a digital twinning fluid simulation method, device, equipment and medium, which can obtain physical property information of a fluid to be simulated and size information of a fluid container; wherein the fluid to be simulated comprises at least one fluid. According to the physical property information of the to-be-simulated fluid and the size information of the fluid container, constructing a container model and a fluid model arranged in the container model in the digital twin system; wherein the fluid model comprises a first sub-model corresponding to each fluid. And setting a display attribute of each first sub-model in the initial fluid model to obtain a second sub-model corresponding to each first sub-model. And performing form control on each second sub-model according to the motion state parameter of each fluid, so that each second sub-model is dynamically displayed. According to the invention, digital twinborn simulation of fluids such as oil, gas and water can be realized, that is, virtual simulation of fluids such as oil, gas and water can be effectively realized.

The invention provides a detection method for fluid flow field distribution in a multi-tail-pipe pipeline. The detection method comprises the following steps: constructing a multi-tail-pipe pipeline model and a multi-tail-pipe fluid model; after construction is completed, the multi-tail-pipe pipeline model and the multi-tail-pipe fluid model are assembled to form a model pipeline; and then creating load and boundary conditions, introducing the load and boundary conditions into the model pipeline, and calculating fluid flow field distribution in the model pipeline to obtain a detection result. According to the detection method provided by the invention, the problem of non-uniform distribution of flow fields among a plurality of tail pipes in a polymer processing technology taking a non-Newtonian fluid as a stock solution can be well detected, and the distribution of the flow fields in the tail pipes is detected through a simulation test in combination with consideration of a plurality of parameters; and a reference scheme is provided for the improvement of a polymer processing technology according to a detection result, so that the product quality problem caused by non-uniform flow velocity distribution of different tail pipes is accurately and quickly solved, and the production efficiency is greatly improved.

The invention relates to a nuclear accident fault diagnosis method and equipment combining physical constraints and a large language model, and the method comprises the steps: constructing a mathematical model of fluid flow in a nuclear energy pipeline, and describing the behavior of fluid in the pipeline; converting related information of the nuclear energy pipeline fluid model established in the step into lexical elements tokens which can be understood by a large language model LLM; the physical constraint information is embedded into a large language model LLM; after the physical constraint information is embedded, performing fine tuning training on the large language model LLM to enable the large language model LLM to adapt to a nuclear energy pipeline fault diagnosis task; the large language model LLM after fine tuning training is used for carrying out fault category classification on the new nuclear energy pipeline operation data. According to the fault diagnosis text adaptation mechanism based on nuclear energy related lexical element embedding, nuclear energy operation parameter information presented in a numerical form in a work order is converted into language information containing rich nuclear energy operation features, and then the advantages of a large model in the aspect of feature extraction are fully played.