43 results about "Conditional simulation" patented technology

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.

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 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 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.

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 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.

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.

This invention discloses a numerical simulation method and system for the progressive failure process of elastobrittle materials based on DDDA (Differentiated Optimal-Displacement Amplitude) simulation. The method includes the following steps: S1. Constructing a two-dimensional DDDA numerical model with the same geometric dimensions as the actual elastobrittle material sample, using the geometric parameters as a reference; S2. Grouping the circular elements in the constructed numerical model based on the compression-tension ratio of the actual elastobrittle material; S3. Bonding the circular elements and adding bonding elements based on the proposed three-spring bonded circular element model; S4. Calibrating the input parameters of the numerical model based on the mechanical parameters of the actual elastobrittle material sample; S5. Adding boundary conditions to the numerical model based on the calibration results to simulate the progressive failure process of the elastobrittle material. This invention achieves accurate prediction of the progressive failure process of elastobrittle materials, featuring high simulation accuracy and strong practicality.

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 provides a transport condition simulator and a transport condition simulation method. The transport condition simulator provided by the application can accurately simulate various complex typical environment conditions in the transport process through the combination of a flight environment simulator, a ground environment simulator and a temperature and humidity environment simulator, and can test the stability and tolerance of products under different transport modes and extreme environment conditions. In addition, through the cooperative matching of a sensor group and a controller, the sensor group can monitor the simulated transport environment in real time, and the controller can immediately adjust the parameters of the simulator components when detecting that the current simulated transport environment is inconsistent with the actual transport condition, so as to ensure that the simulated environment conditions simulated by the simulator components are as close to the actual conditions as possible, thereby guaranteeing the accuracy of simulation and the reliability of simulation results.

Systems and methods for view-conditioned diffusion for real-world vehicle gaussian splatting. A single perspective image can be transformed (110) 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 (120) 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 (130) using the fine-tuned diffusion model. A large generative model (LGM) can be trained (140) 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 (150) by using the gaussian splatting model for downstream tasks.

The invention relates to the technical field of roadbed engineering, and discloses an experimental simulation system for preventing and treating moisture migration of a road base covering effect, the system comprises an environment simulation module, a moisture monitoring module, a prevention and treatment module and a central control module, and multiple climate factors such as temperature, humidity, rainfall and evaporation are comprehensively regulated and controlled through the environment simulation module; actual environment conditions of different regions and seasons are reproduced, a real scene of moisture migration of a road base covering layer is simulated, the accuracy and reliability of experimental simulation are improved, and a solid data basis is provided for research of prevention and control measures; the moisture monitoring module monitors the distribution and migration state of moisture in the road base model in real time, the multi-point sensing technology is used for obtaining the volumetric moisture content, matric suction and permeation rate data of different depths and positions, a moisture abnormal accumulation area is identified, and the migration trend and rate are judged in combination with the moisture migration model. And monitoring and abnormal early warning of the moisture migration process are ensured.

This invention belongs to the field of numerical simulation methods for flow fields, and provides a flow field simulation method for a distributed ducted fan-wing coupled layout, comprising the following steps: Step 1, dividing the computational model into computational domains based on the airframe, moving blades, and stationary blades, and generating computational meshes; Step 2, assembling the airframe mesh, moving blade mesh, and stationary blade mesh obtained in Step 1 together, and solving the quasi-steady flow field of the entire aircraft at different phase angles of the moving blades; Step 3, based on the solution results of Step 2, extracting the flow field information at the interfaces between the moving blade mesh and the airframe mesh, and between the stationary blade mesh and the airframe mesh; Step 4, based on the airframe mesh, averaging the extracted interface flow field information, and assigning the values ​​to the corresponding interfaces of the airframe mesh as boundary conditions to simulate the effect of the fan on the flow field, and solving the overall flow field and aerodynamic forces of the aircraft. The method of this invention ensures that the moving blade and stationary blade meshes do not participate in the flow field calculation, thus significantly improving computational efficiency while maintaining computational accuracy.

This invention provides a simulation method to support developers in developing control programs for ink supply devices or maintenance workers in performing maintenance on ink supply devices. [Solution] The simulation method comprises the steps of: S1, the processor loads a virtual model corresponding to an ink supply device mounted on an inkjet printer; S2, the processor sets operating conditions for the virtual model in accordance with input instructions; and S3, the processor simulates the behavior of the virtual model based on the operating conditions. Step S3 includes calculating the values ​​of one or more parameters that represent the state of the virtual model. The simulation method further comprises the step S4, in which the processor outputs a screen that visualizes the changes in the values ​​of one or more target parameters among the one or more parameters in the simulated behavior.

The application discloses a kind of new energy joint energy storage's credible capacity quantitative calculation method of fusion electricity price signal, comprising the following steps: generating daily multi-period simulation electricity price sequence of whole year;Establish energy storage output timing model;Get energy storage whole year output timing curve;Form boundary condition of different timing node;Simulate random outage scene of conventional unit, and under the random outage scene of conventional unit, calculate the reliability of conventional unit;Determine the energy storage output to be introduced in current period based on energy storage whole year output timing curve;With the minimum difference between system reliability after introducing new energy and energy storage and conventional unit reliability as the target, determine the credible capacity Y of new energy joint energy storage.The application forms the complete technical system of "electricity price input-energy storage output generation-scenario simulation-reliability evaluation-credible capacity determination", realizes the integration of credible capacity quantitative.

This invention discloses a method, system, and storage medium for simulating the entire process of dead lithium formation and evolution in batteries. The method includes: obtaining an interface evolution model by coupling a phase-field model of a lithium metal electrode, a lithium-ion diffusion model, and a potential field model; wherein the phase-field model of the lithium metal electrode is used to distinguish between the metallic lithium phase, the electrolyte phase, and the dead lithium phase; simulating the formation and evolution of dead lithium under multiple cycles based on the interface evolution model, preset dead lithium determination criteria, computational domain, and the initial and boundary conditions of the interface evolution model to obtain simulation data; and generating visualization results and dead lithium quantification indicators based on the simulation data. Through this invention, dynamic simulation of the entire life cycle of dead lithium is achieved, enabling quantitative output of the "dead lithium" volume. This provides a digital tool for evaluating performance degradation under different conditions and can be used to guide electrolyte development, interface engineering, and charging strategy optimization, thereby suppressing "dead lithium" formation and improving battery life and safety.

The invention provides a mold clamping force and tapping synchronization performance analysis method which comprises the following steps: acquiring tool path data, and simulating a torque transmission process by combining a boundary condition of a narrow area in a mold to obtain torque distribution; tool root position coordinates are determined according to the torque distribution data, material attribute parameters are overlaid on the tool root position coordinates, and torque is optimized through a genetic algorithm; the optimized torque is input into the finite element grid model, stress concentration factor distribution is calculated from the finite element grid model, and the grid density is adjusted to obtain a refined stress diagram; acquiring peak stress data from the refining stress diagram, counting the number of stress cycles to determine a fatigue damage value, generating an adaptive control signal, and inputting the adaptive control signal into the simulated tapping cycle to obtain a tool running state; according to the tool operation state, three-dimensional space displacement data generated by the root of the lead screw under the torque effect are extracted and reflected by monitoring the axial and radial displacement data of the lead screw, and a stable torque path is confirmed.

The invention discloses a numerical simulation method and device for coal bed gas exploitation, a medium and equipment, and relates to the technical field of coal bed gas exploitation, and the method comprises the steps: obtaining the geological data of a to-be-detected coal bed, and determining a two-dimensional data body used for describing the initial attribute of the coal bed based on the geological data; based on a heat-fluid-solid damage coupling theory, constructing a heat-fluid-solid damage coupling model for coal bed gas development simulation; inputting the two-dimensional data volume into a constructed heat-fluid-solid damage coupling model, and simulating a fracturing process and a carbon dioxide displacement process of a coal seam in a multi-coupling scene in five-point well pattern development by taking upper and lower boundaries of the coal seam as boundary conditions of fixed constraints and taking boundaries of a water injection well and a gas recovery well as boundary conditions of flow constraints, so as to obtain a fracture model. Obtaining a corresponding simulation result; wherein the five-point well pattern comprises extraction wells arranged at four vertexes of a to-be-detected area, and a water and gas injection well arranged at the central position of the to-be-detected area.

This invention discloses a simulation method for rotor spinning yarn splicing, belonging to the field of spinning technology. The method includes: constructing a three-dimensional geometric model based on the actual size and structure of a rotor spinning machine; meshing the three-dimensional geometric model to generate mesh data for numerical calculation; importing the mesh data into computational fluid dynamics software, setting boundary conditions, simulating the airflow characteristics inside the spinning machine, and obtaining airflow field data inside the spinning machine; importing the airflow field data into discrete element method (DEM) software through a coupling interface, establishing a flexible fiber model and a seed yarn model, setting the motion behavior of the fiber and seed yarn according to actual spinning, and simulating the entire process of rotor spinning yarn splicing. Through CFD-DEM coupling technology, dynamic visualization simulation of the entire splicing process is achieved, breaking the limitations of high-speed transient and unobservable actual splicing. The entire splicing process can be simulated without repeated actual spinning trials, significantly reducing trial-and-error costs and shortening the process optimization cycle.

The application discloses a side heat jet flow interference simulation method based on methane / air gas, and the method comprises the following steps: obtaining the jet flow and the flow momentum ratio, the RT ratio and the jet flow specific heat ratio according to the real flow conditions and the real gas engine jet flow conditions; simulating the momentum ratio and the RT ratio according to the ground flow conditions, and determining the momentum and the RT parameters of the methane gas jet flow under the condition of meeting the geometric similarity; determining the methane / air mixing ratio according to the RT and the specific heat ratio parameters of the methane gas jet flow, and determining the total pressure of the required gas and the methane and air flow according to the momentum of the methane gas jet flow; and obtaining the force interference factor and the orbit control offset of the jet flow interference by using the ground wind tunnel test or the numerical simulation method. The application can be used for the ground heat jet flow interference wind tunnel test or the numerical simulation.