197 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.

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 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 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 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 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 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.

The invention belongs to the technical field of monitoring, and discloses a pollution source positioning method and system based on river monitoring data analysis, and the method comprises the steps: obtaining drainage basin monitoring data of each monitoring point of a target river; based on the drainage basin monitoring data of each monitoring point of the target river, constructing a digital twinborn fluid model of the target river; simulating pollutant diffusion in the digital twin fluid model of the target river to obtain diffusion parameters of pollutants; and a pollutant diffusion distribution model is constructed based on the diffusion parameters of the pollutants, and the pollutant diffusion distribution model is used for outputting a pollutant emission prediction position by taking the pollutant parameters of each monitoring point of the target river as input. According to the method, the detailed pollutant diffusion process can be provided, the behavior of pollutants can be deeply understood, and the method has the advantages of high response speed, good adaptability and high pollution source positioning accuracy.

The invention relates to the technical field of computer heat dissipation, and particularly discloses an intelligent dustproof heat dissipation device for computer system service and a heat dissipation system.The intelligent dustproof heat dissipation device comprises a shell and is characterized in that dustproof filter screens are symmetrically and fixedly connected to the outer surfaces of the two sides of the shell in a penetrating mode, and a fan is fixedly installed on the outer surface of the bottom of the shell in a penetrating mode; temperature and humidity sensors are symmetrically and fixedly installed on the inner surfaces of the two sides of the shell. According to the method, the filter screen fiber load rate is quantified in real time through image recognition to achieve early warning, then the data is used for driving the fluid model to dynamically adjust the fan partition rotating speed to compensate local blockage and balance internal airflow, and finally, through analysis of the correlation efficiency change of the long-term load rate and the compensation rotating speed, the real-time monitoring of the fan partition rotating speed is achieved. Permanent adhesion or material failure of the filter screen is intelligently diagnosed, intelligent management from early warning, regulation and control to service life evaluation is achieved, the heat dissipation reliability is remarkably improved, and the operation and maintenance cost is reduced.

The invention discloses a disturbance wave velocity prediction method based on a physical guidance neural network, and the method comprises the following steps: 1, carrying out the physical layer parameter correction based on a three-fluid model through employing an entrainment rate modeling result, and obtaining a corrected density ratio, a corrected gas nucleus Reynolds number, and a corrected liquid membrane Reynolds number; 2, establishing a physical guidance neural network model, and carrying out training and hyper-parameter optimization; and step 3, combining a physical layer and the trained neural network to predict the disturbance wave velocity.

The invention relates to the technical field of superconducting cables, in particular to a three-dimensional heat-flow decoupling modeling method and device for a three-phase three-axis high-temperature superconducting cable, and the method comprises the steps: constructing a simplified three-phase three-axis high-temperature superconducting cable geometric model; constructing a temperature distribution finite element model, wherein the temperature distribution finite element model comprises a decoupled fluid model and a heat transfer model; the dynamic temperature distribution of the three-phase three-axis high-temperature superconducting cable under the influence of transient factors is solved by using a temperature distribution finite element model, and the method comprises the following steps: 1) a steady state step: based on an initial boundary condition, completing basic solution of a cable temperature field and a liquid nitrogen flow velocity field under a steady state through coupling calculation of a fluid module and a heat transfer module; 2) a transient step: taking a result value of steady-state solution as an initial condition of transient solution, and finally outputting a temperature distribution simulation result through multi-step transient solution iteration and flow field and temperature field distribution.Compared with the prior art, the method has the advantages of high modeling precision, small calculation amount, fast convergence and the like.

The present invention discloses a solid-liquid coupling simulation method with surface tension effect based on the material point method, belonging to the fields of computer graphics and physics-based simulation. The system used in the simulation method includes solid model modeling, fluid model modeling, Level Set implicit surface construction, Marching Cubes display surface construction, surface particle resampling, and collision detection. The system simulates fluids and solids on the basis of the material point method, constructs Level Set to resample fluid surface particles, and adds surface tension to the fluid using the CSF model. Different background grids are used to simulate fluids and solids respectively to solve the inherent adhesion phenomenon during MPM solid-liquid coupling and achieve the slip contact effect during solid-liquid coupling. Finally, the coupling phenomenon of incompressible fluid with surface tension effect and nonlinear elastic solid is realized.

The present application discloses a method and related equipment for numerical simulation of deep-sea mining based on a pseudo-fluid model. In the above method, the initial velocity field, initial pressure field and initial particle concentration distribution in the deep-sea mining pipeline are first set; then the boundary conditions of the inlet and outlet of the deep-sea mining pipeline are defined; finally, the deep-sea mining pipeline is numerically simulated using the pseudo-fluid model to obtain the numerical simulation results of deep-sea mining, which include pressure distribution, velocity field, particle concentration distribution, effective density and effective viscosity. In this process, the pseudo-fluid model is used to simplify solid particles into pseudo-fluids, thereby introducing effective density and effective viscosity. The effective density and effective viscosity can be used to perform numerical simulation of the deep-sea mining pipeline. Compared with the traditional algorithm calculation, it not only simplifies the calculation complexity, but also improves the efficiency of numerical simulation.

The invention discloses a calculation method and application of an underwater random bubble curtain pressure value simulation model. The method comprises the following steps: firstly, establishing a bubble generation model based on random characteristics, and realizing random distribution of bubble positions and sizes through an MATLAB program and a randperm function; then, a fluid and bubble dynamics bidirectional coupling model is constructed, and pressure field association is established by keeping grid sizes consistent; generating a grid by adopting an SALE method, and combining the bubble model, the target plate model and the fluid model through open and import commands; and finally, carrying out numerical calculation by adopting an LS-DYNA solver, iteratively adjusting parameters based on an optimization algorithm, and outputting a pressure value simulation result. According to the method, full-process automatic modeling is realized, the efficiency is improved by more than 50%, million unit-level large-scale calculation is supported, the model precision is high, the universality is high, and the method can be widely applied to simulation analysis and device optimization of underwater noise reduction, antifouling and oxygenation scenes.

Method for estimating the load variation carried by a mounted assembly of a trailer generated by the coupling of the trailer to the vehicle comprising the following steps: Coupling the trailer to the vehicle; Recording the internal temperature T of the fluid cavity of an equipped mounted assembly; Determining the internal pressure P of the fluid cavity of the equipped mounted assembly using a determined evolution law; Evaluating a volume variation ΔV of the equipped mounted assembly using the recorded internal temperature T and the internal pressure P determined using a fluid model in adiabatic transformation, the fluid having an ideal gas behavior; and Estimating a load variation ΔZ carried by the equipped mounted assembly using a second function comprising as parameter the intermediate volume variation ΔV evaluated and the flattening rigidity of the tire of the mounted assembly per unit of volume KP. Figure for the abstract: Fig. 3

The invention relates to a safety density window prediction method and device considering fluctuation pressure, a medium and equipment. The method comprises the steps that real-time drilling dynamic parameters of a target well are obtained; on the basis of the real-time drilling dynamic parameters, a steady-state fluctuation pressure prediction model is established in combination with a HZ-Ba fluid model, fluctuation pressure generated in a shaft under the current working condition is dynamically calculated through the steady-state fluctuation pressure prediction model, and the fluctuation pressure comprises excitation pressure and swabbing pressure; carrying out equivalent density conversion on the calculated fluctuation pressure, respectively superposing the calculated fluctuation pressure with a static formation pressure parameter, and updating and outputting a safe drilling fluid density window considering the influence of the fluctuation pressure in real time; the output safe drilling fluid density window considering the fluctuation pressure influence is applied to field drilling fluid density design, and the reasonability of a fluctuation pressure calculation model and the reliability of the safe drilling fluid density window are verified by monitoring whether falling blocks return from the ground or not and monitoring well diameter logging data in real time.