57 results about "Fluid models" patented technology

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 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 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 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 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.

The invention relates to the technical field of concentration prediction, in particular to a thickener settlement area concentration distribution prediction method, which comprises the following steps: constructing a thickener numerical calculation model; extracting solid-phase pressure and solid-phase volume fraction of each height plane of the thickener after the flow field is stabilized, constructing an interface characteristic index curve based on the solid-phase volume fraction and gradient thereof, constructing a pressure gradient curve based on the solid-phase pressure and the solid-phase volume fraction, and finding out a clarification point and a gel point according to gradient change; dividing the fluid model into a clarification area, a settlement area and a compression area according to the clarification point and the gel point; and constructing a settlement area normalized height variable in the settlement area according to the clarification point height and the gel point height, performing nonlinear fitting according to the settlement area normalized height variable and the solid phase volume fraction, constructing a settlement area concentration distribution function, and realizing concentration distribution prediction of the thickener settlement area. According to the method, the settlement area boundary is precisely defined based on the concentration gradient characteristics and the pressure mutation characteristics.

The present application relates to a kind of double medium reservoir effective fracture porosity calculation method, system, processing device and storage medium, the method comprises: obtaining the initial state core CT image of fracture core of offshore buried hill reservoir to be measured and carrying out segmentation to matrix pore and fracture, calculate fracture porosity and matrix porosity;Obtain the core three-dimensional image of fracture core of offshore buried hill reservoir to be measured in different displacement stages;Obtain the matrix pore model, fracture pore model, water phase fluid model and oil phase fluid model of fracture core of offshore buried hill reservoir to be measured;Identify all connected pore voxel cluster, calculate the Euclidean distance of each matrix pore voxel to nearest fracture pore, group the calculated Euclidean distance, calculate the average oil saturation drop of each group of Euclidean distance corresponding matrix pore at the end of displacement;Calculate the fracture producing efficiency coefficient of fracture core of offshore buried hill reservoir to be measured, and then determine the effective fracture porosity of fracture core of offshore buried hill reservoir to be measured.

The application belongs to the technical field of oil and gas field development, and particularly relates to a porosity determination method, device, electronic equipment and storage medium. The porosity determination method comprises the following steps: obtaining seismic data and measured well data of a target area; establishing a geometric structure model of a fracture-vug type reservoir according to the seismic data; establishing a three-dimensional numerical well test model according to the geometric structure model and a corresponding fluid model; obtaining bottom hole pressure simulation data in the three-dimensional numerical well test model; and determining target porosity of the target area according to the bottom hole pressure simulation data and the measured well data. The application establishes a geometric structure model of a fracture-vug type reservoir through seismic data of a target area, then establishes a three-dimensional numerical well test model according to the geometric structure model, and finally determines target porosity of the target area by comparing bottom hole pressure simulation data of the three-dimensional numerical well test model with measured well data, thereby solving the problem of porosity assignment of a fracture-vug type reservoir.

The application discloses a finite element method-based gas-liquid two-phase modeling and breathing behavior processing method for a storage tank, and relates to the technical field of storage tank monitoring. A geometric model of the storage tank is established to obtain a fluid model inside the storage tank; a gas-liquid two-phase model of the storage tank is obtained, the geometric model is meshed, the actual state of the storage tank is simulated, and state data of a breathing accessory are obtained; a fluid-structure coupling model of the breathing accessory is established, the opening behavior of the breathing accessory is calculated, and the fluid-structure coupling model is verified; and the opening behavior of the breathing accessory is predicted according to the rated opening pressure of the breathing accessory and the pressure change of the gas space of the storage tank. The gas-liquid two-phase and fluid-structure coupling models are established, the gas-liquid two-phase flow in the storage tank can be accurately simulated, the behavior of a breathing system composed of a breathing valve, a pressure relief manhole and other structures can be dynamically predicted, real-time data are used to adaptively correct model parameters, the prediction accuracy is improved, and the safe operation of the storage tank is ensured.

The invention provides a multi-source venue flow anomaly detection method and system based on spatio-temporal feature fusion, and the method comprises the following steps: constructing a tetrahedral mesh space of a venue in combination with a CIM and an indoor model, and mapping audience individuals in multi-source monitoring data into a dynamic trajectory particle swarm in a mesh; a real-time crowd rheological viscosity field is constructed based on a shear thickening fluid model by calculating the velocity gradient and the strain rate of a particle swarm. The viscosity field and the particle velocity field are combined, a dynamic abnormal area is recognized by solving a fluid vorticity evolution equation, a path failure risk area is recognized by calculating virtual shear stress of a channel boundary, and finally the two risk areas are fused to generate a final flow anomaly detection result. According to the invention, the disordered congestion phenomenon in the high-density crowd evacuation process can be accurately identified.

The invention belongs to the technical field of composite material structural part manufacturing, and particularly relates to a thermal simulation method for a temperature field of a composite material part forming tool. Comprising the following steps that 1, environment construction is carried out according to the type of a composite material forming tool, and the environment part comprises construction of a fluid model and a domain type; 2, defining material parameters according to the physical properties of the composite fluid; 3, according to the heat source heating system in the composite material forming tool forming process and the heat exchange mode of a heat source and a tool, a forming process model is built; 4, based on a fluid area control equation and a solid area control equation of three basic calculus equations of mass, momentum and energy, carrying out simulation calculation of a composite material forming tool temperature field through a velocity vector model; and 5, carrying out data processing on a resolving result, and viewing a cloud picture in a graphic window. By constructing a typical thermal model, parameters can be directly changed, the method is used for temperature field simulation of similar forming tool structures, the stability and accuracy of the simulation process are kept, and the simulation efficiency is improved.

The invention discloses a grouting coupling simulation method and system based on a diffusion model and time-varying rheology, and relates to the technical field of geotechnical engineering grouting numerical simulation. Current geological data are input into the diffusion model to generate grouting initial parameters; automatically identifying and dividing a plurality of solidification stages of the slurry based on the multi-source sensing data; based on a stage division result, performing dynamic inversion and analysis on parameters in the time-varying rheological constitutive equation of the slurry to obtain time-varying rheological parameters, and coupling the time-varying rheological parameters to a constitutive relation of a multi-physics field coupling control equation set in real time; and when the slurry density of a certain area in the computational domain is lower than a critical density threshold value, activating the fluid model for solving, when the slurry density reaches or exceeds the critical density threshold value, switching the area to a solid mechanical model for solving, and dynamically optimizing grouting parameters based on a reinforcement learning algorithm. Simulation parameters and a calculation model are dynamically adjusted through an AI system, and continuous and accurate simulation of the whole process of slurry from liquid pouring to solid phase change is achieved.

A vapour compression system (1) including a compressor unit (2) having at least one main compressor (3) and at least one receiver compressor (4), a heat rejecting heat exchanger (5), a receiver (7), an expansion device (8) and an evaporator (9) being arranged in a refrigerant path. The vapour compression system (1) further includes a bypass valve (12) fluidly interconnecting the gaseous outlet (10) of the receiver (7) and the main compressor(s) (3). A pressure difference across the bypass valve (12) is measured or derived, and a mass flow rate of refrigerant through the bypass valve (12) is derived, based at least on the pressure difference across the bypass valve (12), and using a fluid model. A minimum mass flow rate of refrigerant required to operate the receiver compressor (4) is derived, based on a minimum displacement volume of the receiver compressor (4) and using a fluid model taking prevailing operating conditions into account. In the case that the derived mass flow rate of refrigerant through the bypass valve (12) exceeds the derived minimum mass flow rate of refrigerant required to operate the receiver compressor (4), the receiver compressor (4) is started and the bypass valve (12) is closed.

The invention relates to a gas storage production operation parameter prediction method and device, equipment and a medium, and the method comprises the steps: obtaining a historical monitoring data set of a monitoring gas storage corresponding to a to-be-predicted parameter, carrying out the preprocessing of the historical monitoring data set, generating a historical database, and carrying out the prediction of the to-be-predicted parameter based on an optimized physical fluid model, the method comprises the steps of generating simulation data corresponding to a monitoring gas storage, fusing parameters in the same time period and in the same type according to a historical database and the simulation data, generating a unified database, removing non-associated parameters from the unified database, generating a fusion database, and performing prediction on the non-associated parameters according to the fusion database, wherein the correlation coefficient between the non-associated parameters and the to-be-predicted parameters is smaller than a set threshold value. And performing model training on the set neural network model, generating a space-time diagram convolutional neural network model, predicting the to-be-predicted parameter according to the space-time diagram convolutional neural network model, and generating prediction parameter information of the to-be-predicted parameter. Therefore, the parameters are accurately predicted based on the deep learning network model of the fusion time sequence.

A hierarchical contact search algorithm applicable to multi-resolution particle methods is disclosed. The algorithm includes the following steps: reading the physical signals of large and small particles in a fluid model, and reading the geometric information of high-precision and low-precision regions; dividing the entire computational region into multiple large grids by combining the overall geometric information of the fluid model and the size of the large particles; dividing the high-precision region into multiple small grids by combining the geometric information of the high-precision region and the size of the small particles; the large and small grid regions can overlap; positioning large particles belonging to the low-precision region to the large grid region, and positioning small particles belonging to the high-precision region to the small grid region; determining the grid to which the computational particle belongs and all neighboring particles within the influence radius of adjacent grids, forming contact pairs with the computational particle, calculating the interaction forces, and improving the computational efficiency of the entire computational region.

The present application relates to the technical field of concentration prediction, in particular to a kind of thickener sedimentation zone concentration distribution prediction method, comprising: constructing thickener numerical calculation model;Extract the solid phase pressure and solid phase volume fraction of each height plane of thickener after flow field stabilizes, construct interface characteristic index curve based on solid phase volume fraction and its gradient, construct pressure gradient curve based on solid phase pressure and solid phase volume fraction, find clarification point and gel point according to gradient change;According to clarification point and gel point, fluid model is divided into clarification zone, sedimentation zone and compression zone;According to clarification point height and gel point height, construct sedimentation zone normalized height variable in sedimentation zone, carry out nonlinear fitting according to sedimentation zone normalized height variable and solid phase volume fraction, construct sedimentation zone concentration distribution function, realize the concentration distribution prediction of thickener sedimentation zone.The present application accurately defines the boundary of sedimentation zone based on concentration gradient characteristics and pressure mutation characteristics.

The invention belongs to the technical field of rock physics and multiphase flow coupling seismic wave propagation simulation, and discloses a wave velocity-attenuation whole-process calculation method based on an Lo two-phase fluid model. According to the method, thermodynamic characteristics of CO2-saline two-phase fluid are obtained by utilizing temperature and pressure conditions of a target reservoir, seepage characteristics are fitted according to experimental data, and a unified medium physical property layer is constructed by combining fluid parameters and rock skeleton parameters; after an elastic matrix, an inertia matrix and a viscosity matrix of a multiphase medium are calculated according to physical property parameters, phase velocity and attenuation characteristics of three types of longitudinal waves and one type of transverse waves are obtained through a Lo two-phase fluid model control equation. According to the method, a complete technical process from physical property construction, control equation solution to sensitivity judgment and mechanism analysis is formed, the method can be used for seismic monitoring, reservoir feature recognition and relevant parameter inversion in the CO2 geological storage process, and the method has good engineering applicability and popularization value.

Disclosed are a method for designing a pit array structure on a wall surface of a combustion chamber, and a combustion chamber. The method comprises: extracting a three-dimensional fluid model and performing a bench test; establishing an in-cylinder combustion and emission simulation model, and verifying same; performing a temperature field bench test on a cylinder head, a piston and a cylinder liner; establishing a heat transfer simulation model, and verifying same; establishing a thermo-mechanical coupling simulation model; performing parameterized design of a pit array structure for the piston, the cylinder liner and the cylinder head, establishing a collaborative optimization mathematical model for pit array structure design, acquiring an optimal solution set, and selecting a typical solution; and processing key components in the typical solution, performing a mounting test, and obtaining an optimal design solution for the pit array structure by means of the test. The pit array structure obtained by the collaborative optimization design method of the present invention can not only reduce the weight of the components, but also enable a turbulent layer formed near the wall surface of the combustion chamber to promote the mixing of oil and gas, thereby reducing nitrogen oxides and particulate matter, and improving the combustion performance of the engine.

This invention relates to the field of groundwater status assessment technology, and discloses a method for dynamic assessment of groundwater levels based on multi-source data mapping and fluid model correction. This invention aims to address the technical problems of low spatial resolution in existing satellite gravity sounding data, and the difficulty in accurately separating deep groundwater change signals from total land water storage signals, resulting in insufficient accuracy and a lack of spatial detail in groundwater level monitoring. This invention unifies the spatiotemporal reference of multi-source heterogeneous data, utilizes high-resolution surface texture features to guide the spatial downscaling reconstruction of the low-resolution gravity field; combines spectral features and the principle of thermal inertia to progressively eliminate surface water and soil water storage signals; introduces measured data to construct a spatial error correction surface for water yield parameters; and uses image connectivity analysis technology to identify groundwater funnels.

The invention discloses a method for calculating DNB type critical heat flux density of a high-flux reactor arc-plate-shaped fuel assembly. The method comprises the following steps of: 1, carrying out geometric modeling and grid division on a coolant channel of the arc-plate-shaped fuel assembly; 2, solving a two-fluid model control equation and a turbulence model to obtain phase field and flow field distribution; 3, solving a bubble number density group balance equation to calculate bubble diameter distribution; 4, based on the near wall surface flow field, a bubble stress balance dynamic model is adopted to solve bubble characteristic parameters; 5, calculating each heat flow component by adopting an improved wall surface heat flow distribution model; 6, establishing a heat conduction-convection-turbulence superposition interphase heat transfer model and calculating a phase change mass source item; 7, medium physical properties and boundary conditions are set, and the gas-liquid integral number, the speed, the pressure and the temperature are solved in a coupling mode; 8, calculating the density of the stepped loading heat flow; and 9, determining the critical heat flux density according to the boiling curve turning point, the critical void fraction and the outlet bubble group distribution. According to the method, the critical heat flux density of the high-flux reactor arc plate-shaped fuel assembly can be effectively predicted.

The present application relates to a kind of data conversion method and system in fluid simulation, belong to data simulation technical field, solve the problem that data format is complex and causes slow loading and conversion data in the existing fluid simulation process.The method includes: obtaining the grid data after the grid of fluid model, the grid data of fluid model is converted into uniform grid data;After converting the uniform grid data into the grid data corresponding to solver, it is transmitted into solver;The output data of solver is parsed, and the output data is converted into uniform tree-shaped result data.The uniformity of grid data and result data is realized, and the loading and conversion efficiency of grid data and the query efficiency of solution result are improved.

The invention provides a multi-temporal-spatial-resolution fluid feature land-gas coupling disaster analysis method and system, and the method comprises the steps: obtaining remote sensing data, determining at least one remote sensing data field variable, and carrying out the preprocessing and multi-temporal-spatial-resolution sampling; adapting the control equation to construct a target fluid model, and solving the control equation to obtain space-time distribution of field variables; disaster indexes are calculated according to the space-time distribution and used for marking disaster data, and a disaster recognition neural network model is trained according to the original data and the marked data; and performing disaster identification on the to-be-identified remote sensing data based on the trained model.

This invention relates to a method for simulating the distribution of magnetofluid injection based on the coupling of particle tracking and fluid dynamics, belonging to the field of magnetic nanoparticle movement and particle tracking. The method includes: constructing a two-dimensional geometric model containing healthy tissue, abnormal tissue, and an injection syringe, and setting parameters; constructing a fluid model based on Darcy's law, and calculating the fluid velocity and pressure distribution in the interstitial tissue; coupling the fluid velocity, and solving the diffusion-convection-reaction equation using the finite element method to obtain the macroscopic concentration distribution of the magnetofluid after injection; establishing a particle tracking module, setting discrete particles with the same properties as the magnetic nanoparticles; coupling the interstitial fluid velocity, calculating the drag force and gravity acting on the particles according to Newton's second law, and simulating the particle motion to reveal the microscopic trajectory of the magnetic nanoparticles. This method, by coupling the macroscopic concentration field with the microscopic particle motion, can more realistically simulate the distribution behavior of magnetofluid within complex porous biological tissues.

A method of controlling the composition of a drilling fluid comprises receiving measurements of properties of a drilling fluid; determining a concentration of the components of the drilling fluid by inputting the measured properties to a fluid model that relates the properties of the drilling fluid to the concentrations of each of the components; determining a desired concentration of each of the plurality of components of the drilling fluid, by inputting desired properties of the drilling fluid to the fluid model; and determining a quantity of one or more additives to be added to the drilling fluid to achieve the desired concentration of each of the plurality of components. The invention includes a controller (20) for controlling the method and a system (1) therefore.

A fluid-based system model is described. The fluid model may include multiple vessels that each store an amount of fluid. The vessels may be coupled to each other via pumps and conduit. Volumes of the fluid in each vessel may be determined and used to control the operations of the pumps such that fluid is transferred among vessels based on the associated volume(s). The fluid model may provide a visual and / or physical representation of various systems or system components.

The invention discloses a condenser liquid film thermal resistance correction term calculation method based on a two-fluid model, and belongs to the technical field of condenser liquid film thermal resistance correction. The problem that the real flow heat exchange process in the condenser cannot be simulated due to the fact that the thermal resistance of the liquid film of the condenser cannot be accurately predicted in an existing method is solved. According to the method, the liquid film thickness of the condensate is in direct proportion to the liquid phase volume fraction on the basis of the Nusselt laminar film condensation theory solution, the liquid phase volume fraction integrates the liquid phase outflow rate and the condensation rate, liquid phase distribution of a local grid can be better reflected, the liquid phase volume fraction is a parameter which can be directly obtained by a two-phase model, and therefore the method has the advantages that the method is simple and convenient to operate. The correction calculation of the overflow effect is carried out through the liquid phase volume fraction of the local grid, the physical process can be described and simulated more accurately, and the accurate prediction of the liquid film thermal resistance of the condenser is ensured. The method can be applied to calculation of the thermal resistance correction term of the liquid film of the condenser.

This invention relates to the field of wind power operation and maintenance training technology, and discloses a wind power bolt hydraulic tightening training system and method based on the GWO standard. The method collects the fingertip pressure distribution matrix, head posture data and breathing frequency of the operator, calculates the virtual fluid injection effectiveness index, and generates a virtual fluid dynamic liquid surface function and liquid surface fluctuation rate. Based on this, it performs virtual breathing light strip rendering, generates operation background sound and provides visual warnings, and calculates the virtual fluid viscosity coefficient and converts it into damping control current to realize variable damping tactile feedback and tactile pre-compression tightening and reverse ejection bidirectional interaction. This invention establishes a tactile communication channel that bypasses language barriers in visual isolation and high-noise environments by constructing a virtual fluid model that couples biological characteristics and mechanical movements. By utilizing flexible damping interlocking and bidirectional tactile interaction, it effectively solves the technical problems of low coordination and high safety hazards caused by lack of perception in collaborative operations in confined spaces.

The invention discloses a music driving fluid generation method and system based on multi-dimensional semantic mapping, and belongs to the technical field of computer graphics and audio signal processing. The method comprises the following steps that music input by a user is received, characteristics such as rhythm, frequency spectrum and energy are obtained through audio analysis, and emotion vectors and color information changing along with time are obtained through a music emotion recognition and color palette generation module; in a unified parameter space, the audio, emotion and color semantics are mapped into fluid colors, fluid simulation parameters and camera and environment control parameters, and fluid models such as shallow water waves or height fields are driven to generate multi-style fluid scenes changing along with music. Compared with an existing music visualization mode which only depends on frequency band energy to drive simple and special effects, the method can achieve consistent expression of music emotion, rhythm, fluid form and audio-visual atmosphere in multiple scenes, and can be applied to scenes such as music visualization, immersive interactive art display and emotion relaxation assistance.

The present application relates to the field of communication technology, especially to a kind of multi-modal data transmission method and system for unmanned area operation.The method comprises the following steps: firstly, a virtual fluid model of multi-modal data is constructed, and virtual viscosity coefficient and virtual compression coefficient are calculated respectively;Secondly, using adaptive extended Kalman filter, combining signal-to-noise ratio and jitter change rate to dynamically correct process noise covariance matrix, real-time estimate channel effective bandwidth;Further, a normalized fluid potential field cost function is constructed, a viscous resistance matching term is constructed using the virtual viscosity coefficient, and the optimal flow rate is solved under the premise of meeting the bandwidth constraint;Finally, combined with virtual compression coefficient and flow rate deficit ratio, the quantization parameter is adaptively calculated through nonlinear mapping.The present application realizes rigid data fidelity and flexible data shock absorption by using data physical properties, which significantly improves the service reliability in extreme environment.