62 results about "Conditional simulation" patented technology

The invention relates to the technical field of pipeline safety detection, in particular to a pipeline hydrogen-doped leakage real-time monitoring and early warning method and system based on Fluent simulation, and the method comprises the steps: obtaining leakage diffusion data of gas in a pipeline detected by multiple sensors, and carrying out the preprocessing of the data; extracting data features: carrying out conjoint analysis on a time-frequency domain to obtain a time-frequency matrix; by calculating mutual information evaluation correlation of different sensor data, feature statistical correlation is realized, and features with non-significant spatial correlation are removed; the pressure data, the flow data and the concentration data are subjected to sub-channel filtering and fusion processing based on federated Kalman filtering (FKF); establishing a pipeline model based on Fluent, and simulating a pipeline hydrogen-doped leakage process by taking the extracted features as input conditions; a risk model is constructed based on real-time sensor data, simulation prediction data and environmental parameters, and a hierarchical early warning mechanism is established. Through cooperative monitoring of multiple sensors, leakage characteristic data can be accurately captured, and safety and reliability of the system are ensured.

The invention provides a multi-scale simulation method for high-fidelity selective laser melting forming and phase field-lattice Boltzmann coupling, and belongs to the technical field of selective laser melting numerical simulation. The method comprises the specific steps that a selective laser melting powder laying process model is constructed based on a discrete element method, and a randomly stacked powder bed model is obtained; a high-fidelity selective laser melting forming thermal fluid dynamic model is established, and macroscopic temperature distribution and flow field distribution of a molten pool are simulated; establishing a phase field model-lattice Boltzmann coupling model; and extracting temperature gradient, solidification velocity and melt flow velocity data of local positions of the boundary of the steady-state molten pool, and simulating solidification structure evolution under flowing of molten metal in the molten pool by taking the data as initial conditions of the phase field-lattice Boltzmann coupling model. According to the method, through high-fidelity multi-scale simulation, the relation between the process parameters and the microstructure is established more comprehensively, and reliable numerical support is provided for selective laser melting process optimization and microstructure prediction.

The invention discloses a rock blasting load transfer and throwing simulation method which comprises the following steps: S1, acquiring field parameters of a target blasting project, the field parameters comprising rock mass mechanical parameters, explosive parameters, blast hole parameters and charging structure parameters; and S2, based on the field parameters, constructing a three-dimensional explosive-rock calculation model by adopting pretreatment software, dividing grids, importing the grids into finite element software, setting a material model, a state equation and boundary conditions, and simulating an explosive detonation process. The limitation of a single numerical value method is solved; quantitative analysis and accurate prediction of rock blasting lumpiness are achieved, inclined joints are adopted in the discretization process, actual rock mass joint distribution is better fitted, and the reliability of a simulation result is improved; bulk rocks and excessive crushing phenomena are effectively reduced, the explosion energy utilization rate is improved, the engineering cost is reduced, and a scientific basis is provided for explosion design of projects such as mining and water conservancy and hydropower.

The invention relates to an electric power engineering wind speed optimization method and system based on fluid mechanics simulation software. The method comprises the specific steps that a three-dimensional terrain model of a target area is established based on the fluid mechanics simulation software; historical meteorological data of a target area are collected through geographic information software, boundary conditions are set according to the historical meteorological data, and wind field distribution under different weather systems is simulated; extracting characteristic parameters of each micro-terrain along the power transmission line corridor in the target area, wherein the characteristic parameters comprise terrain gradient, relative height difference and surface roughness classification; calculating a wind speed correction coefficient of each microtopography through a gray model based on the boundary conditions and the characteristic parameters of each microtopography; and finally, performing iterative verification on the corrected wind speed through a Monte Carlo method, and outputting a wind speed result meeting a preset confidence coefficient requirement as a final optimized wind speed.

The invention discloses a forest fire monitoring method based on a low earth orbit satellite, and the method comprises the steps: obtaining data through multiple sensors, and carrying out the denoising and smoothing processing, and generating a fusion data set; a convolutional neural network is combined with multi-scale analysis to enhance fire point features, and a feature set is formed. And matching the multi-satellite collaborative observation data with the feature set, and generating a high-frequency observation enhanced data set through time sequence alignment. A deep learning and transfer learning optimization model is adopted, key area features are extracted, multi-satellite data are shared through distributed calculation, and a coverage enhancement data set is obtained. And dynamically adjusting a multi-satellite scheduling strategy based on the timeliness evaluation model, and outputting a scheduling result. The robustness of an algorithm is optimized through reinforcement learning, a robustness enhancement model is obtained in combination with complex meteorological condition simulation, the data fusion precision is verified by using a multi-source data verification technology, and a final monitoring result is output. According to the method, the accuracy, timeliness and coverage integrity of fire point detection are remarkably improved.

Systems and methods for view-conditioned diffusion for real-world vehicle gaussian splatting. A single perspective image can be transformed using image transformation techniques to generate a training dataset that addresses a domain gap between synthetic data and real-world data in a traffic scene. A pre-trained diffusion model can be finetuned with the training dataset to obtain a fine-tuned diffusion model. Perspective-aware images having different perspective views of an entity from the single perspective image can be generated using the fine-tuned diffusion model. A large generative model (LGM) can be trained using the perspective-aware images to generate a gaussian splatting model for the entity. View-conditioned simulations from the single perspective image can be generated by using the gaussian splatting model for downstream tasks.

The invention discloses a control method for optimizing a solid / liquid interface of a solution in indium Czochralski purification based on numerical simulation, belongs to the technical field of preparation of high-purity metal materials, and obtains a process regulation and control scheme for stabilizing the solid / liquid interface of the solution through an external magnetic field and establishment of a mapping relation of process parameters-interface data-impurity concentration based on multi-physics field numerical simulation. The method comprises the following steps: acquiring original physical property data of the czochralski furnace and indium, calculating a geometric model, performing mesh generation, and establishing a mathematical model; based on historical experimental data, boundary conditions are set, and the key processes of indium czochralski purification seeding, shouldering and equal diameter are simulated; coupling multiple physical fields, and analyzing the change of a solid / liquid interface of the solution in the direct pulling process; and on the basis of a numerical simulation result, a deep reinforcement learning model is constructed, a mapping relation among process parameters, interface data and impurity concentration is established, 'prediction-verification-optimization 'closed-loop iteration of the process is realized, and collaborative regulation process parameters for stably preparing 8N high-purity indium are obtained.

The invention discloses a polycrystalline material microstructure crack evolution simulation and mechanical property prediction method and system. The method comprises the following steps: establishing a voronoi geometric model of a polycrystalline material containing grain characteristics and microstructure defect characteristics; carrying out spatial distribution modeling on the mechanical property parameters of the polycrystalline material based on a probability statistics theory; importing the voronoi geometric model of the polycrystalline material into a multi-physics field simulation software platform, establishing a complete simulation geometric model for crack prediction based on a phase field fracture theory, and performing phase field solution; setting corresponding material parameters according to the material attributes; and setting corresponding boundary conditions in simulation software to simulate a four-point bending experiment, solving a phase field fracture control equation by utilizing a finite element algorithm, capturing a change rule of a crack propagation path, and recording key mechanical data. According to the method, the polycrystalline Voronoi model is constructed, spatial distribution modeling is carried out on the mechanical parameters of the material in combination with the probability statistics theory, and the non-uniform characteristic of the actual material can be reflected more truly.

The invention discloses a DDDA-based numerical simulation method and a DDDA-based numerical simulation system for a progressive failure process of an elastic and brittle material. The method comprises the following steps: S1, constructing a two-dimensional DDDA numerical model consistent with a real elastic and brittle material sample in geometric size by taking the geometric parameters of the real elastic and brittle material sample as a reference; s2, grouping the circle units in the established numerical model by taking the compression-draw ratio of the real elastic and brittle material as a reference; s3, based on the proposed three-spring bonding circle unit model, bonding the circle units, and adding bonding units; s4, calibrating input parameters of the numerical model by taking the mechanical parameters of the real elastic and brittle material sample as a reference; and S5, according to a calibration result, adding boundary conditions to the numerical model, and simulating a progressive failure process of the elastic and brittle material. According to the method, the progressive failure process of the elastic and brittle material is accurately predicted, and the method has the characteristics of high simulation precision and high practicability.

The invention provides a high-fidelity generalization method and system for plain river network water flow simulation, and relates to the technical field of model simulation. The method comprises the steps that a node river network is constructed, constructing a physical river network topological structure comprising a main river channel node, a river reach, a regulation and storage node and a virtual river reach; a dynamic parameter configuration step: configuring hydraulic parameters for the section in the physical river network topological structure; a boundary coupling step: distributing water catchment unit runoff obtained by calculation of the hydrological model to corresponding regulation and storage nodes as boundary input conditions; and a simulation execution step: performing hydrodynamic simulation calculation based on the constructed physical river network topological structure, the configured hydraulic parameters and the distributed boundary input conditions. Through a high-low water level dynamic parameter method, a hydrodynamic model parameter calibration method is optimized, especially for rivers with large water level fluctuation amplitude, and the accuracy of simulation results is ensured.

The application discloses a kind of critical conductivity simulation calculation method and system of chain structure impressed current protection, by building COMSOL simulation model, according to wire diameter, chain structure size, metal material conductivity, set current physical field related parameters in COMSOL software, for simulating calculation under different conductivity caused potential attenuation;According to the seawater conductivity obtained in test, the conductivity of metal material, polarization curve, set the secondary current distribution physical field related parameters in COMSOL software, and combine the potential attenuation obtained in current physical field as boundary condition simulation potential distribution under steady state in seawater, if potential distribution reaches the requirement of protection potential, the conductivity corresponding to potential attenuation at this time is critical conductivity.The method can accurately and conveniently evaluate the critical conductivity of chain structure impressed current cathodic protection, and provide a reference for the design of chain structure impressed current cathodic protection system.

The application discloses a hierarchical simulation geological modeling method under anisotropic tensor and uncertainty constraint, relates to the technical field of geological modeling, and comprises the following steps: inputting selected profile sample grade data, fitting a variation function and defining simulation parameters; performing conditional simulation according to the simulation parameters to generate a plurality of simulation implementations reflecting spatial anisotropy; controlling a hierarchical decomposition process through checking a termination condition, performing threshold smoothing processing on a sub-region after termination, saving an optimal threshold value and a class probability field of the sub-region, updating a global probability field by using a back transmission mechanism, outputting a grid of a final class probability field, and forming a rasterized ore body shape. The application obtains local threshold optimization through continuous hierarchical simulation and iteration, replaces unoptimized results, and forms optimal simulation results of the ore body, so that the uncertainty transmission of a traditional method is effectively reduced, and the accuracy and rationality of geological domain division are improved.

The application relates to the technical field of roadbed engineering, and discloses an experimental simulation system for preventing and treating water migration of a roadbed covering effect, which comprises an environment simulation module, a water monitoring module, a prevention and treatment module and a central control module. The environment simulation module comprehensively regulates and controls multiple climate factors such as temperature, humidity, precipitation and evaporation, reproduces actual environmental conditions in different regions and seasons, simulates the real scene of water migration of the roadbed covering layer, improves the accuracy and reliability of experimental simulation, and provides a solid data basis for the research of prevention and treatment measures. The water monitoring module is used for monitoring the distribution and migration state of water in the roadbed model in real time, multi-point sensing technology is used to obtain the volume water content, matrix suction and seepage rate data at different depths and positions, the water abnormal accumulation area is identified, the migration trend and rate are judged in combination with a water migration model, and the monitoring and abnormal early warning of the water migration process are ensured.

The invention relates to the technical field of oil development, and discloses a thin oil treatment process flow analog simulation method and device, a medium and equipment. The method comprises the following steps: establishing a mechanism calculation model of each sub-device in a thin oil treatment process flow; associating the mechanism calculation model of each sub-device, and calling a function to perform coupling calculation; different initial conditions are set, and the change process of technological parameters in the production process during component change is simulated; setting a plurality of input conditions, and initializing analog simulation based on the input conditions to control component change; and performing analog simulation to obtain a simulation result. According to the method, a set of complete thin oil treatment process flow analog simulation method is constructed, the dynamic analog simulation process of the thin oil treatment process flow is realized, and real-time calculation of simulated dynamic working conditions is realized; according to the method, verification can be carried out before actual use, the effect after adjustment and existing potential safety hazards can be directly reflected before an optimization scheme is implemented, and the field process is convenient to adjust.

The invention discloses a layered simulation geologic modeling method under anisotropic tensor and uncertainty constraints, and relates to the technical field of geologic modeling, and the method comprises the steps: inputting selected profile sample grade data, fitting a variation function, and defining simulation parameters; performing condition simulation according to the simulation parameters to generate a plurality of simulation implementations reflecting spatial anisotropy; and controlling a hierarchical decomposition process by checking a termination condition, performing threshold smoothing processing on the terminated sub-region, storing the optimal threshold and the class probability field of the sub-region, updating the global probability field by using a return mechanism, outputting a grid of the final class probability field, and forming a rasterized ore body form. According to the method, local threshold optimization is obtained through continuous layered simulation and iteration, an unoptimized result is replaced, and an optimal simulation result of the ore body is formed, so that uncertainty conduction of a traditional method is effectively reduced, and the accuracy and rationality of geological domain division are improved.

The application provides a multiscale geological model cross-scale nesting and fusion modeling method, belonging to the geological field, including four steps of multiscale data preprocessing, data fusion, cross-scale nesting and fusion and dynamic coupling. This method can integrate multi-source heterogeneous data, realize data fusion through joint probability space, variational assimilation framework, fuzzy logic conflict factor and alternating direction multiplier method, utilize deep learning auxiliary fusion technology such as multi-scale convolutional adversarial network to improve the stability and precision of the model. At the same time, the model parameters are determined through volume average upsampling algorithm and random field conditional simulation, and the consistency of the parameters between the models is realized through dynamic adjustment of ensemble Kalman filter and localized ensemble transform Kalman filter, bidirectional feedback and iterative optimization. Finally, through the double grid strategy and the restrictive interpolation, the multiscale convergence is realized, and the convergence and dynamic balance of the model on the scale of kilometers to microns are ensured.

The application provides a kind of side slope simulation experiment platform, including: frame unit, tray assembly, lifting device and buffer unit, tray assembly is slidably installed on frame unit, and tray assembly is used to install side slope model;Lifting device is arranged at the top of frame unit, and lifting device is used to drive tray assembly to move along frame unit, so that the tray assembly with side slope model is moved to the initial position of experiment;Buffer unit is arranged at the bottom of frame unit, and towards the side of lifting device, buffer unit is used to receive tray assembly, so that the tray assembly with side slope model slows down. Side slope simulation experiment method includes making side slope model, applying simulation conditions, simulating falling experiment. The application can directly obtain the safety factor of side slope model, and the structure is simple and reliable, and the experiment cost is low.

Coal rock three-dimensional strain field visual system and method are provided under mining influence. The system includes a stress condition simulation system and a strain monitoring system. The stress condition simulation system includes a similar simulation experiment rack, a loading system and a circular slideway. The method includes preparing a 3D printing wire, printing a strain visual similar model, simulating a stratum dip angle and a gas-containing condition, applying stress fields, recording a cracking and dyeing condition of microcapsules inside the model, and the like. The system can realize tracing the generation and development of internal cracks in simulation models with complex geological conditions, and tracing the three-dimensional movement of internal ink dots to draw four-dimensional images of displacement fields.

The invention relates to the technical field of aero-engine air inlet condition simulation control, and discloses a feed-forward control law design method and a feed-forward control law design system based on a large-cavity effect model. A dynamic disturbance model with a pressure disturbance amplitude and a pressure regulation time as coordinate values is established, and real data is used for comparison and check, so that the pressure disturbance amplitude and the pressure regulation time are calculated; forming an optimized dynamic disturbance model; and finally, a feed-forward control law based on transition state flow dynamic characteristics and air inlet total pressure change differential is constructed through valve adjusting characteristics, and the feed-forward control quantity of each air inlet branch is calculated in real time. According to the invention, while the pressure disturbance rejection capability of the air inlet control system of the test equipment in the dynamic response test is improved, the multi-branch feedforward control quantity can be calculated and output in the actual transition state test; the method is beneficial for improving the transition state control quality of the test equipment air inlet control system on the total air inlet pressure in the engine transition state test, reducing the deviation value of the disturbance of the total pressure, and improving the simulation precision of the total air inlet pressure in the transition state test.

The invention discloses a fractured medium attenuation characteristic numerical simulation method based on an improved BISQ model, and relates to the technical field of geophysical exploration, and the method comprises the steps: S1, building a pore fluid pressure-displacement coupling equation of the improved BISQ model under a quasi-static condition as a target form equation; s2, establishing a representative fracture medium numerical model according to reservoir fracture characteristics; s3, carrying out an oscillation compression numerical simulation experiment, and simulating boundary disturbance of elastic waves on the model by controlling boundary conditions; and S4, calculating a complex stress-strain field generated when the model responds to boundary disturbance under different frequencies, and calculating a complex longitudinal wave modulus and a longitudinal wave attenuation factor by using an average value of a vertical stress-strain body. The quasi-static numerical simulation method provided by the invention can calculate seismic wave energy dissipation under the combined action of Biot flow and jet flow of the rock model; and the frequency-dependent seismic attenuation characteristics of the fluid-containing crack medium are represented.

The invention belongs to the technical field of reactor thermal hydraulic tests, and particularly relates to a test system for simulating the passive safety injection process of a full-pressure water replenishing tank under a water loss accident. The system comprises a pressure vessel simulation body, a full-pressure water replenishing tank simulation body and steam generation equipment, the top and the bottom of the full-pressure water replenishing tank simulation body are respectively connected with the pressure vessel simulation body through a balance pipeline and a safety injection pipeline; the height difference between the full-pressure water replenishing tank simulation body and the pressure vessel simulation body is consistent with that of the prototype; the top of the full-pressure water replenishing tank simulation body is also connected with steam generation equipment through a steam pipeline, and measurable steam flow is provided through the steam generation equipment; a steam pipeline adjusting valve is connected to the steam pipeline in series. According to the embodiment of the invention, the transient process boundary conditions of the full-pressure water replenishing tank are constructed, the water-water circulation mode and the steam water circulation mode of the full-pressure water replenishing tank are simulated, and the fluid flow characteristics in the safety injection process of the full-pressure water replenishing tank and the safety injection characteristics under different conditions can be inspected.

The application belongs to the technical field of equipment insulation influence evaluation considering streamer discharge, and provides a streamer discharge simulation modeling method, system, medium and equipment of charge behavior under complex working condition coupling, which is based on the theory of shearing separation of double electric layer, and an oil-paper-interface multi-region charge dynamic transport simulation model is established by coupling oil flow convection term, shearing term and temperature effect; based on the established transport simulation model, the whole evolution process of streamer discharge from diffusion, longitudinal evolution to transverse migration under the coupling of electric field, fluid field and thermal field is simulated by combining the charge injection and extraction boundary conditions at the electrode, the charge density distribution and electric field strength distribution data in the streamer evolution process are obtained; the streamer evolution law is analyzed based on the charge density distribution and electric field strength distribution data, so as to evaluate the oil-paper insulation state or optimize the oil-paper insulation structure. The coupling effects of electric field, fluid field and thermal field are comprehensively considered, and the actual operating condition of the converter transformer is more accurately simulated.

The application discloses a kind of building structure analysis methods based on multi-scale finite element, comprising the following steps: determining calculation target, including the whole rod shell calculation model to be analyzed is established, the part in building structure is divided into two analysis site types of micro unit site, macro unit site;Establish a geometric model to obtain the overall multi-scale geometric model;Establish analysis model;Model verification;Step five, result analysis and output.Compared with prior art, it solves the problem that the analysis result is not accurate due to the fact that the model boundary condition simulation is not real or the selected type and mesh size of the finite element of the key analysis component is rough in the traditional finite element analysis method, and the modeling work is too complex in the traditional method.This analysis method not only can simplify the overall calculation degree of freedom, improve the modeling and calculation efficiency, but also can refine the finite element type and mesh size of the key analysis component, and truly simulate the spatial stress state of the analysis component.

The application discloses a kind of forest fire monitoring methods based on low-orbit satellite, comprising: obtaining data by multiple sensors, and generating fusion dataset by denoising and smoothing processing.Utilize convolutional neural network to combine multi-scale analysis to enhance fire point features, form feature set.Multiple satellite cooperative observation data are matched with feature set, and enhanced dataset of high frequency observation is generated by time series alignment.Adopt deep learning and transfer learning optimization model, extract key area features, share multiple satellite data through distributed computing, obtain coverage enhanced dataset.Based on timeliness evaluation model, dynamically adjust multiple satellite scheduling strategy, output scheduling result.Through reinforcement learning optimization algorithm robustness, combined with complex weather condition simulation, obtain robustness enhanced model, and utilize multi-source data verification technology to verify data fusion precision, output final monitoring result.The application significantly improves the accuracy, timeliness and coverage integrity of fire point detection.

The invention relates to a trajectory-based multi-ship dynamic joint planning method and system, belongs to the technical field of ship route planning, and solves the problem that a model cannot effectively predict multi-ship dynamic disordered behaviors in the prior art. The method comprises the following steps: predicting a future motion track of a first ship according to historical data of the first ship by using an established ship track prediction model; determining a preset action and an initial condition of a second ship according to a future motion track by utilizing an established ship path planning model, and simulating and executing the preset action to plan a motion path of the second ship; and obtaining a dynamic interaction behavior between the two ships according to the future movement track of the first ship and the movement path of the second ship by using an established ship dynamic interaction model, and adjusting the planning of the movement path of the second ship based on the interaction behavior. According to the technical scheme, simulation and prediction of the dynamic interaction behaviors of the multiple ships are effectively achieved.

The disclosed method for controlling the solid / liquid interface of a melt in indium purification by numerical simulation optimization belongs to the technical field of high-purity metal material preparation, and is based on multi-physical field numerical simulation to obtain a process control scheme for a stable solid / liquid interface of a melt by establishing a mapping relationship between an external magnetic field and process parameters-interface data-impurity concentration. The method comprises the following steps: obtaining original data of a Czochralski furnace and indium physical properties, calculating a geometric model and grid partitioning, and establishing a mathematical model; based on experimental historical data, setting boundary conditions, simulating the seeding, shoulder growth and key processes of constant diameter in the Czochralski process of indium purification; coupling multi-physical fields to analyze the change of the solid / liquid interface of the melt in the Czochralski process; based on the numerical simulation results, constructing a deep reinforcement learning model, establishing a mapping relationship among process parameters, interface data and impurity concentration, realizing a process "prediction-verification-optimization" closed loop iteration, and obtaining process parameters for the stable preparation of 8N high-purity indium.

The invention discloses a ground full-physical simulation test system for spacecraft attitude stability control under strong impact interference, which uses a'heaven-earth equivalent analysis method 'to convert strong impact interference borne by a spacecraft space into an impulse moment form, and realizes equivalent simulation through the ground full-physical simulation test system. The ground full-physical simulation test system is high in strong impact interference ground equivalence, good in regulation and control performance, high in spacecraft space mechanical environment condition simulation degree, high in applicability, high in spacecraft attitude control precision and stability and easy to implement. The system can equivalently simulate the spatial strong impact interference, fully verify the effectiveness and correctness of the attitude control scheme under the strong impact interference, provide technical reference for the stable control of the spacecraft spatial attitude, reduce the spatial test cost, and improve the success rate of the spatial test.

This application relates to a method for simulating adhesive leveling, a method for determining adhesive bonding process parameters, and an apparatus. The method includes: constructing an adhesive leveling simulation computational domain based on the geometric parameters and adhesive properties of the target process model; the computational domain includes a first bonding wall, a second bonding wall, and a fluid domain located between the first and second bonding walls; dividing the fluid domain into a first edge layer region, an intermediate deformation region, and a second edge layer region along the direction of the distance change between the first and second bonding walls; wherein the first and second edge layer regions use boundary layer meshes with unchanged topology, and the intermediate deformation region uses a dynamic meshing method for mesh updating; simulating the bonding motion based on preset motion boundary conditions, and performing the simulation based on a gas-liquid two-phase interface tracking model. This method can improve the computational efficiency and accuracy of dynamic leveling simulation of the adhesive under pressure while ensuring computational stability.

The application discloses a metal sealing structure leakage prediction method and system, first, a macroscopic service finite element model is constructed according to the structure and service parameters of the sealing structure, the service deformation behavior is simulated, the model is based on the rotation symmetry characteristic of the sealing structure, the axisymmetric shell model is adopted in the finite element software, the cross section is simplified, the grid is divided and the flange movement is set. Then, a microscopic crystal plastic model with a rough surface is constructed based on the surface roughness, the model construction and grid processing are carried out by considering the material microstructure and characteristics. The deformation amount of the contact position is extracted from the macroscopic model as the boundary condition of the microscopic model to simulate the microscopic deformation. Finally, the distance between the rough surface mean line and the flange surface distance is determined from the microscopic model as the gap height, and the internal and external pressure difference in the service of the sealing structure is combined to calculate the leakage amount of the sealing structure. In this way, the simulation result is more close to the actual situation by combining the macroscopic and microscopic models, and the leakage prediction precision and efficiency of the sealing structure are improved.

The present invention relates to the field of environmental sanitation monitoring technology, and discloses a droplet distribution prediction method and system based on an adaptive polynomial random forest. The method first simulates droplet distribution based on set simulation conditions, constructs a droplet distribution prediction model based on the simulation results, and then predicts droplet distribution based on the time, direction, and size of a real-time cough based on the constructed droplet distribution prediction model. The method combines numerical calculation methods with ML algorithms, significantly saving calculation time and cost compared to traditional numerical simulation methods, and having excellent prediction accuracy.