111 results about "Fluid models" patented technology

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 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 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 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 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 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 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 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.

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 application discloses a high-efficiency complex curved volute design method, which comprises the following steps: carrying out collaborative design on a centrifugal impeller, a vaneless diffuser and a volute; selecting initial design parameters of the volute; selecting a circular cross-section design of the volute according to the principle of momentum conservation; carrying out initial design of the volute according to gas conditions at an outlet of the vaneless diffuser; establishing a flow channel fluid model of the volute from a three-dimensional model of the volute; calculating a flow field of the flow channel fluid model; coupling calculation of the flow channel fluid model of the volute and a fluid model of the centrifugal impeller from the three-dimensional model of the volute; and obtaining comprehensive aerodynamic efficiency η of the centrifugal impeller and the volute; and judging whether the comprehensive aerodynamic efficiency η meets design requirements until the design requirements are met. The design method can make the aerodynamic efficiency between the volute and the centrifugal impeller reach an optimal matching state, improve energy conversion efficiency of an aerodynamic system and reduce energy loss of the volute.

The present application relates to the technical field of fluid heat dissipation, in particular to a method, device, equipment and medium for analyzing heat transfer characteristics of nanofluid. The present application constructs a velocity calculation formula based on a power-law fluid model, then applies the velocity calculation formula to the slip length, fluid attribute information and pipeline attribute information to obtain the flow velocity of the nanofluid in the micro pipeline, then calculates the average temperature of the nanofluid in the micro pipeline based on the flow velocity, and finally calculates the Nusselt number of the nanofluid in the micro pipeline based on the average temperature. Since the power-law fluid model can describe the non-Newtonian characteristics of the nanofluid, and the non-Newtonian characteristics are suitable for the heat transfer characteristics of the nanofluid in the micro pipeline, the flow velocity, average temperature and Nusselt number of the present application can describe the heat transfer characteristics of the nanofluid in the micro pipeline, so that the present application can apply the nanofluid to microscale cooling.

The application provides a blast furnace carbon monoxide component field calculation method based on digital twinning, relates to the blast furnace carbon emission technical field, studies the distribution of the chemical components in the blast furnace, simulates the gas flow by adopting the Navier-Stokes equation, and solves the two-dimensional blast furnace fluid model by utilizing the grid-based finite difference algorithm, so as to obtain the gas velocity field, the temperature field and the solid temperature field. Meanwhile, the chemical kinetics model is established, the coke combustion, the carbon dissolution loss and the iron oxide reduction reaction are considered. The blast furnace is divided into five subspaces, and the corresponding reaction rate fields are calculated. Finally, the carbon monoxide concentration field is obtained through the iteration of the top gas data. The method can develop the carbon monoxide concentration field model meeting the industrial requirements in real time.

The embodiments of the present specification provide a state parameter generation method, device and equipment of a fluid model and a storage medium. The method comprises: obtaining a first coefficient matrix and a first residual vector of a fluid model; performing a specified preprocessing operation on the first coefficient matrix and the first residual vector to obtain a second coefficient matrix and a second residual vector; performing an orthogonal projection operation process on an initial value of a state change parameter of the fluid model based on the second coefficient matrix, the second residual vector, and probability distribution data constructed according to the second coefficient matrix until the obtained state change parameter meets a specified accuracy condition, and taking the obtained state change parameter as a target state change parameter; and generating a target state parameter of the fluid model at a specified time according to the target state change parameter. The number of iterations is reduced, and the time for generating the state parameter is reduced, thereby improving the timeliness of analyzing or predicting the fluid state based on simulation to a certain extent.

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.

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) therefor.

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 application relates to a judgment method and device for DC arc resistance of an arc extinguishing chamber and a computer device. The method comprises the following steps: building an arc burning working condition simulation environment of the arc extinguishing chamber in a pre-constructed high-speed switch geometric model, calculating a gas flow field in the arc extinguishing chamber based on a real gas model of an arc magnetic fluid model, calculating distribution structures of multiple physical fields of the arc extinguishing chamber in a preset time under the arc burning working condition based on a gas flow field control equation group, a turbulence model and the gas flow field in the arc magnetic fluid model, calculating an ablation mass of the arc extinguishing chamber in the preset time under the arc burning working condition based on a radiation model and an ablation model in the arc magnetic fluid model, and evaluating the resistance characteristics of the arc extinguishing chamber based on the distribution structures of the multiple physical fields and the ablation mass of the arc extinguishing chamber in the preset time in the arc burning process. The evaluation of the long-time DC arc resistance performance of the arc extinguishing chamber can be realized based on the distribution structures of the multiple physical fields and the ablation mass of the arc extinguishing chamber in the preset time.

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.

The invention provides a simulation optimization method and system for a heat exchange module, and the method comprises the steps: building a three-dimensional steady-state model according to the design parameters of the heat exchange module, and obtaining the flow field distribution data, temperature field distribution data and pressure field distribution data of the heat exchange module based on the three-dimensional steady-state model; constructing a first thermal fluid model according to the flow field distribution data, the temperature field distribution data and the pressure field distribution data, and performing parameter calibration on the thermal fluid network model by using the flow field distribution data and the temperature field distribution data to obtain a second thermal fluid model; transient working condition simulation is conducted in the second thermal fluid model, and a heat exchange effect picture is generated; and target parameters are selected from a preset channel adjustment parameter set according to the heat exchange effect picture, and a channel adjustment report is generated according to the design parameters, the heat exchange effect picture and the target parameters.

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 present application relates to a kind of early warning correction systems of clean space particle monitoring, including particle monitoring hardware device, environmental parameter monitoring hardware device, modeling module, data acquisition monitoring module, simulation module and digital twin module.Simulation module is based on particle information and environmental information and is combined with fluid model to construct the correlation model about particle information and environmental information, so as to obtain CAE simulation result, and digital twin module is constructed based on the result.Digital twin module carries out multilevel prediction according to the particle information and environmental information of real-time acquisition to the future particle information variation trend of clean space, and the prediction result is fed back to environmental control module to make it continue to run current scheme or run optimization scheme to adjust the particle state of clean space, realize particle monitoring trend prediction, clean space control intelligentization.