170results about How to "Improve the simulation effect" patented technology

The invention provides a flood scouring damage simulation method for a shallow foundation bridge, which comprises the following steps: S1, riverbed scouring characteristics are analyzed, and data needing to be extracted comprise scouring depth, a pier peripheral flow field and a scouring pit form; s2, establishing a structure model; s3, adopting a point cloud reverse engineering technology and a fluid-solid coupling technology to transmit foundation soil contact and water flow load into the structure model; s4, structural damage analysis under the combined action of the flood and the loaded vehicle; and S5, obtaining a structural safety evaluation conclusion of the bridge under the combined action of flood scouring and heavy vehicle load through simulation and data analysis. The device has the advantages that the scouring effect of flood on the shallow foundation is accurately simulated, the combined action of foundation void and vehicle eccentric load is accurately simulated, multi-physical field coupling among water flow, soil, heavy vehicles and a bridge structure is achieved, simulation is convenient, accurate and rapid, and the cost benefit is high.

The invention relates to the technical field of wireless communication testing, and particularly discloses a Bluetooth headset anti-interference performance testing system which comprises an interference signal generation module, an interference signal dynamic simulation module, a signal stability monitoring and evaluation module and an anti-interference capability identification module. An interference signal comprising a modulation signal, a cross-band noise signal and a dynamic radio frequency signal is generated and injected into a test environment, and a real interference scene is simulated by using dynamic conversion of signal strength and frequency; the monitoring module obtains the intensity and frequency characteristics of the interference signal in real time, and comprehensively evaluates the signal stability based on an intensity abnormal coefficient and a frequency abnormal coefficient; and the anti-interference capability identification module calculates an anti-interference capability coefficient by using a support vector machine in combination with performance data of the Bluetooth earphone under different interference levels, and realizes graded evaluation of earphone performance.

The invention discloses a personalized in-vitro total digestion glycolysis simulation system, and belongs to the technical field of in-vitro digestion simulation. According to the invention, by dynamically regulating and controlling the emptying amount and the flow velocity of digestive juice, the process of'digesting and absorbing at the same time 'in the small intestine is simulated, and the interaction of colon flora and colon organs is enhanced in combination with a micro-fluidic chip technology, so that the accurate detection of the digestion process and digestion products is realized. The digestion product simulated by the method disclosed by the invention and the flora structure are very close to the real in-vivo structure, so that the method has relatively high authenticity and credibility.

The invention discloses a biological material mechanical testing method and system based on finite element analysis, and is used for the technical field of data processing method.The biological material mechanical testing method comprises the following steps that a three-dimensional geometric model of a biological material is constructed, the three-dimensional geometric model of the biological material is imported into finite element analysis software, and the finite element analysis software is used for analyzing the three-dimensional geometric model of the biological material; grid division is executed, and material attributes and boundary conditions are set; finite element simulation is operated according to the set material attributes and boundary conditions, stress and strain distribution is analyzed, and grid division and the material attributes are adjusted based on the analysis result; and the adjusted grid division and material attributes are simulated again, a simulation result is verified through experimental data, and meanwhile material composition is adjusted based on the simulation result and a verification result. According to the method, each step can be completed according to preset time and quality standards, and deep understanding of the simulation process and prevention of potential problems are enhanced.

The invention discloses a shield tunnel risk early warning method and system based on digital twinning and federated learning, and the method comprises the steps: a shield tunnel construction side client serves as an edge calculation terminal, and obtains basic parameters; a first shield digital twinning system, a second shield digital twinning system and a third shield digital twinning system are correspondingly constructed by the shield machine producer client side, the shield tunnel construction side client side and the third-party client side according to the basic parameters; a shield construction risk early warning model is arranged in each shield digital twin system; the shield machine production side client, the shield tunnel construction side client and the third side client are all participants, and each participant sends model parameters of the respective shield construction risk early warning model to the central server; the central server is used for averaging the parameters of the three models and issuing the average value of the parameters to each participant; and each participant updates the model of the participant according to the average value of the parameters, and realizes shield construction risk early warning based on the updated model.

The invention provides a vascularized organ-like chip based on seal microstructure patterning and a preparation method thereof, the chip comprises a micro-channel layer, the upper surface of the micro-channel layer is provided with a gel perfusion channel, a central tissue chamber and culture medium flow channels at two sides which are connected, and tumor spheres or colon cells are inoculated in the central tissue chamber; the liquid storage pool layer is arranged on the upper surface of the micro-channel layer and corresponds to the inlet and outlet of the gel filling channel, the inlet and outlet of the central tissue chamber and the inlet and outlet of the culture medium runner, the liquid storage pool layer is provided with a plurality of liquid storage pools and a plurality of through holes, and the liquid storage pools contain culture solutions to provide nutrients for cultured tissues; and the seal module is arranged above the central tissue chamber, the seal module is provided with a tumor seal and a colon seal, and the tumor seal and the colon seal are respectively provided with a microstructure three-dimensional module and are respectively used for simulating the culture environment of tumor spheres or colon cells. According to the invention, in-vitro construction of the vascularized tumor model and the colon model is realized, and a guide is provided for construction of the vascularized organ-like model with specific organ three-dimensional microstructure characteristics.

The invention discloses a method for estimating and predicting a power exchange coefficient of an air-sea interface based on AI and multi-source fusion data, a medium and a program product, and aims to improve the accuracy of numerical simulation, forecasting, scientific research and the like of air-sea interaction. Comprehensively considering the wind speed at the height of 10 meters and other various meteorological and ocean variables, and reconstructing a calculation formula of an air-sea interface power exchange coefficient; collecting and preprocessing multi-source data, and constructing a multi-source fusion data set; constructing an AI model by adopting a deep learning algorithm, extracting spatial-temporal characteristics in the data, and estimating Cd '; by optimizing the model structure and parameters, the generalization ability and the prediction precision are improved; the prediction result is applied to numerical simulation of air-sea interaction, and the model is updated regularly based on new observation data. The method has the advantages of high precision, dynamic updating and wide applicability, and is suitable for the fields of weather forecast, ocean dynamics research and the like.

The invention discloses a drainage pipeline ultraviolet in-situ curing repair effect real-time evaluation method based on machine learning, and relates to the technical field of repair effect evaluation. Comprising the steps that historical parameters including the surface temperature, the surface humidity, the curing time and the ultraviolet irradiation intensity and corresponding curing material hardness values are collected and serve as input of a prediction model for training, and a curing hardness prediction model is established; the ultraviolet irradiation intensity in the repairing process is obtained, and correction is conducted in combination with the environment humidity. And real-time process parameters are collected, the model is input, and a real-time hardness value of the curing material is output. And after the hardness value is corrected according to the illumination uniformity, a repair effect evaluation index is generated in combination with the surface flatness, the crack shape index and the parameters of the sound wave signal. And through comparison with an evaluation threshold, outputting different repair effect evaluation results. According to the method, intelligent real-time monitoring and evaluation of the curing and repairing effect of the drainage pipeline are achieved, and the repairing quality and efficiency are improved.

The humanoid dexterous finger comprises a single-finger base, a fingertip, a first knuckle and a second knuckle, the fingertip, the first knuckle and the second knuckle are sequentially hinged from top to bottom, the bottom end of the second knuckle is hinged to a swing part, the swing part is rotationally connected with the single-finger base, and the rotating plane, relative to the swing part, of the second knuckle is not parallel to the rotating plane, relative to the single-finger base, of the swing part; the fingertips, the first knuckles and the second knuckles are all connected with connecting rod driving mechanisms independently driving the fingertips, the first knuckles and the second knuckles to act, each connecting rod driving mechanism comprises a main connecting rod with at least one end provided with a fisheye bearing and a driving piece arranged on the single-finger base, and the bottom ends of the main connecting rods are rotationally connected with the driving pieces. The humanoid dexterous hand comprises a palm and the humanoid dexterous finger which is arranged on the palm and adopts any scheme. The humanoid robot adopts the humanoid dexterous hand. The robot has the advantages that the fingers have four active degrees of freedom and can adapt to more complex scenes.

The invention provides an optical power prediction method based on WRF-Solar assimilation multi-source data and a related device, and belongs to the technical field of optical power prediction. According to the method, a WRF-Solar model and a WRF-DA 4D-Var assimilation framework are constructed, preprocessed historical meteorological data and historical radiation observation data are input into the WRF-Solar model and the WRF-DA 4D-Var assimilation framework, and a prediction result using the historical meteorological data and the historical radiation observation data is obtained; performing error analysis on prediction results of the historical meteorological data and the historical radiation observation data to obtain an optimal WRF-Solar model parameter and an optimal WRF-DA 4D-Var assimilation parameter; the optimal WRF-Solar model parameters and the optimal WRF-DA 4D-Var assimilation parameters are utilized to construct a final prediction model; predicting the solar radiation and meteorological elements to be predicted by using the final prediction model to obtain prediction results of the solar radiation and meteorological elements; and obtaining an optical power prediction result based on the prediction results of the solar radiation and the meteorological elements. According to the invention, the problem of low accuracy of optical power prediction is solved.

The invention discloses a method for simulating sediment erosion around an offshore wind turbine foundation by combining ISPH with a modified k-epsilon turbulence model. The method comprises the following steps: establishing an ISPH discrete algorithm for solving an average mass conservation equation and a momentum conservation equation of a fluid dynamic ensemble; correcting the standard k-epsilon turbulence model, and calculating the turbulence vortex viscosity vt in the Reynolds stress tensor expression; a critical starting theory on a slope is introduced, a traditional two-dimensional sediment starting model is corrected and expanded, and a three-dimensional sediment starting model is established; establishing a local scouring experiment water tank model of the offshore wind turbine single pile foundation; establishing a corresponding ISPH numerical water tank model; the experimental water tank model and the numerical water tank model respectively simulate the characteristics of the scouring process of sediment around the cylinder, and a numerical simulation result and an experimental result are compared, verified and analyzed. By means of the method, the sediment erosion process around the offshore wind turbine single-pile foundation can be well simulated, the calculation time is short, and the requirements of actual engineering can be met.

The invention discloses a hydrodynamic model system based on an MIKE 21FM model and an automatic parameter judging, setting, selecting and testing method, and belongs to the technical field of hydrodynamic simulation. In order to solve the problems that in the prior art, MIKE 21FM model parameters are complex to set, difficult to select and tedious in verification process, an automatic parameter judging and setting system is constructed; the system can automatically judge and set model parameters according to model characteristics and hydrological conditions of a research area, and meanwhile, automatically select proper parameters and verify and check the parameters, so that the rationality and reliability of the parameters are ensured. By means of the method, the efficiency and accuracy of MIKE 21FM model parameter setting can be remarkably improved, and powerful support is provided for hydrodynamic simulation; in addition, the method is also combined with a machine learning technology to further optimize a parameter selection process and improve a simulation effect; the method is widely applied to hydrodynamic simulation of rivers, lakes, offshore water areas and the like, and has remarkable practical application value.

The invention discloses an anti-digestion polysaccharide-based food colon simulated glycolysis and multi-dimensional online analysis system, and belongs to the technical field of food. According to the method, glycolysis simulation of each colon part is completely carried out according to a human body digestion and glycolysis process and a physiological environment, and intestinal mucosa pellets are added to simulate a human body intestinal mucosa environment, so that the degradation process of partial microorganisms of the human body colon for resisting digestion of polysaccharide-based food is simulated under an in-vitro condition; and the glycolysis condition of the digested polysaccharide-based food entering the colon can be observed on line, and the device fits the real physiological environment of people.

The invention discloses a satellite ground staring attitude control multi-software joint simulation system and a construction method thereof, and belongs to the technical field of computer simulation, and the construction method comprises the steps: 1, constructing an ADAMS-based microsatellite ontology model; 2, constructing a satellite orbit model and an attitude sensor model based on STK; step 3, constructing a torque execution mechanism model based on MATLAB (matrix laboratory) and Simulink; 4, designing an attitude determination algorithm and a control algorithm of a ground staring task simulation model capable of combining a microsatellite body model, a satellite orbit model, an attitude sensor model and a torque execution mechanism model; according to the method, ADAMS, STK and MATLAB are combined to simulate a satellite body, an attitude sensor, a torque execution mechanism and a running orbit, the attitude control task of the satellite is simulated, and the method has the advantages of being good in simulation effect and visual and intuitive in simulation process.

The invention discloses a number-real fusion test method for reliability of a blade disc structure of an aero-engine, and is applied to the field of time-varying reliability evaluation of the aero-engine. The method comprises the following steps: acquiring response data of a key part of a leaf disc structure under a full flight cycle; establishing a finite element virtual entity to obtain a time-varying input variable and a time-varying output response of the aero-engine bladed disc structure under the full flight cycle; establishing a physical information embedded loss function, and establishing an optimal physical information embedded multi-response regression model based on a Bayesian neural network inference framework; and extracting a large batch of time-invariant data sets, fitting a limit state function by using the established multi-response regression model, and calculating the reliability of the time-varying system based on the Monte Carlo thought to complete the reliability evaluation of the time-varying system. According to the method, a complex time-varying reliability evaluation problem is converted into a time-invariant response regression problem, and the calculation precision is effectively improved while the calculation task is simplified.

The invention relates to the field of wind engineering, and provides a multi-scale coupling solving method suitable for wind field simulation. The method aims at solving the problems that in an existing wind field simulation technology, due to the fact that wind speed fluctuation from the ground to the high altitude is large and irregular due to the random characteristics of a wind field, a curve fitting function is difficult to accurately simulate the change rule of the wind speed fluctuation, large deviation is generated, and the calculation accuracy is seriously affected. According to the method, the mesoscale weather forecast WRF mode is coupled with the CFD mode, the distance weighting method is used for interpolating the grid point data of the WRF mode to the boundary surface grid of the CFD mode to serve as the boundary condition and the initial field, and the problem of input condition errors caused by nonlinear fitting in traditional simulation is effectively solved. By means of the method, high-fidelity data transmission is achieved, and the accuracy and reliability of wind field simulation under the complex terrain condition are remarkably improved. The method has a wide application prospect and can be applied to multiple fields such as wind energy resource assessment, wind disaster early warning and urban planning.

The invention discloses a power semiconductor welding layer life evaluation and failure prediction method. The method comprises the following steps: S1, acquiring chip design parameters, power semiconductor module sealing and testing process parameters and power semiconductor module working condition monitoring data; s2, constructing a heat transfer model, a mechanical stress model and an electrical property model by adopting a finite element analysis method according to the data obtained in S1; relates to the technical field of power semiconductors, and aims to comprehensively consider chip design parameters, power semiconductor module sealing and testing process parameters and working condition monitoring data, construct a plurality of physical models, deeply analyze the influence on the service life of a welding layer from multiple dimensions of heat transfer, mechanical stress and electrical performance, and greatly improve the service life of the welding layer compared with single thermal fatigue. Or by mainly depending on specific precursor parameters and utilizing a neural network fitting method, the residual life of the welding layer can be evaluated more comprehensively and accurately, and more accurate life prediction information is provided for reliable operation of the power semiconductor module.

The utility model provides an output assembly for a joint module of a robot, which comprises a gear driving group with a first gear and a second gear, the first gear is used for being connected with a driving rotating shaft of a motor assembly of the joint module, the second gear is in transmission fit with the first gear, the first gear has a first rotating direction rotating around the driving rotating shaft, and the second gear has a second rotating direction rotating around the driving rotating shaft. The second gear has a second rotation direction different from the first rotation direction; and the output shaft is used for supporting the output piece, the output shaft is fixedly connected with the second gear so as to transmit power from the second gear to the output piece, and a clamping device for limiting axial displacement of the output piece is arranged on the output shaft. The original power rotation direction and load of the motor assembly are changed through the gear driving set, when the joint module is assembled, the structural arrangement in the module is more flexible, the overall space is smaller, and the clamping device facilitates more stable driving rotation of the output piece and more accurate control.

The present invention discloses a hydrodynamic-chemical crystallization coupling numerical simulation method and system based on level set, which is used to simulate the karst water crystallization blockage process of tunnel drainage pipes in karst areas. The model can break through the numerical quantification method of the limitations of empirical formula parameters and the traditional DBL theoretical model that only considers the limitations of homogeneous flow systems, and attempts to establish a multi-field coupled hydrodynamic-chemical reaction coupling model to simulate the crystallization blockage process of karst tunnel drainage pipes. The method provided by the present invention includes: constructing a drainage pipe karst water crystallization blockage model that considers the coupling of pipeline hydrodynamic field, concentration field and chemical reaction field, while considering the process of drainage pipe crystallization blockage under the combined action of temperature, ion concentration and flow rate, characterizing the moving boundary displacement based on the level set method, and then carrying out the numerical simulation of crystallization blockage of karst tunnel drainage pipes. The simulation technology provided by the present invention can provide technical support for early identification and safety evaluation of karst tunnel blockage.

The invention discloses a virtual model processing method and device, electronic equipment and a storage medium. The method comprises the steps that at least two model materials of a to-be-processed virtual model are acquired; obtaining at least one type of replacement parameters corresponding to the model material through at least one target function node of a target game engine; and based on the replacement parameters and the replacement maps corresponding to the model materials, performing material superposition processing to obtain a processed target model material of the virtual model. By setting a plurality of target function nodes, a real mixed model material with an undulating replacement effect can be created, the authenticity and the simulation effect of the appearance effect of the obtained virtual model are improved, programming of the manufacturing steps of the model material with the replacement effect and the mixed effect is realized, and the manufacturing efficiency of the model material is improved. A real fluctuating complex appearance effect can be rapidly manufactured, and the virtual model manufacturing efficiency is improved.

The invention relates to a simulation monitoring device and method for a frozen soil change process. The simulation monitoring device comprises a constant temperature box, an image shooting device, a light source, an objective table, a frozen soil structure simulation device and a temperature control device are arranged in the constant temperature box, the light source is arranged opposite to the image shooting device, the frozen soil structure simulation device and the temperature control device are arranged on the objective table, and an image processing device is arranged outside the constant temperature box. The frozen soil structure simulation device is used for simulating soil pore structure characteristics by arranging a plurality of convex parts and arranging coating layers on the convex parts, and constructing a high-simulation natural soil simulation environment, pore characteristics of natural soil in a high-reduction freeze-thaw environment and a migration environment of soil pollutants. The simulation monitoring method realizes simulation and monitoring of the migration behavior of the micro-plastic particles in the soil, has excellent simulation performance and extremely high experimental precision, and is of great significance to evaluation and treatment of pollution site environmental problems in widely distributed cold regions.

The invention discloses a floating transportation towing physical model test system for yaw and deviation correction simulation, which comprises a tug power simulation system, the tug power simulation system comprises a floating transportation towing platform and a jet flow loading facility, and the main body structure of the floating transportation towing platform is composed of a fixed guide rail, a movable trailer and a power supply guide rail. The movable trailer is erected on the fixed guide rail and is driven by a motor, height-adjustable horizontal slideways are erected on cross beams on the front side and the rear side of the movable trailer, hooks with pulleys are arranged on the horizontal slideways, the hooks are connected with the floating transportation component model through traction cables, and the jet flow loading facility is carried on the movable trailer. A mechanical arm, a high-pressure plunger pump and a jet nozzle are arranged, and the jet nozzle and a water supply pipeline are connected to the tail end of the mechanical arm. The invention further discloses a test method adopting the test system. The device has the function of flexibly simulating the transverse loading of the tug, and can realize the complete similar simulation of the component response in the floating yaw process and the deviation correction process.

The invention discloses a method for updating a multi-parameter simulation model of a transformer substation, which comprises the following updating steps of: S1, recording original parameters of an equipment model in a steady-state process and a transient-state process of the transformer substation, respectively inputting simulation input data into a transformer substation model, acquiring first simulation output data, and acquiring second simulation output data; s2, by changing the equipment model parameters of the primary simulation system and the secondary simulation system of the transformer substation, inputting the same simulation input data again, recording the action of the equipment model, and obtaining the secondary simulation output data, the simulation data and the actual data are compared and analyzed, so that the parameters of the simulation model of the transformer substation are updated, and the simulation accuracy of the transformer substation is improved. Therefore, the simulation effect is closer to the actual effect, the simulation accuracy is improved, meanwhile, abnormal model equipment in the transformer substation simulation system is analyzed and updated in a repairing and replacing mode, and the use efficiency of the model in the transformer substation simulation system can be better improved.

The utility model discloses a revolver toy pistol which comprises a pistol body, a rotating wheel, a trigger, a driving hammer, a pressing pump, a water cavity, a nozzle, a water outlet pipe, a water inlet pipe and a linkage pawl, the pressing pump is arranged in the pistol body corresponding to the rear side position of the trigger, the lower end of the linkage pawl is connected with the trigger, and the upper end of the linkage pawl extends to the position of the rotating wheel. When the trigger is pulled, the pressing pump is pressed down, so that water in the water cavity is pumped, and the water is conveyed to the nozzle through the water outlet pipe to be sprayed out. Meanwhile, the linkage pawl pushes the pushing teeth on the rotating wheel under the action of the trigger, the rotating wheel is forced to rotate, the rotating action of the rotating wheel of the revolver is simulated, the simulation effect is good, and the interestingness of the toy is effectively improved; the whole body is in a revolver shape, is novel in modeling, small in appearance and light in weight, and is convenient for young children to carry and play; in addition, when the trigger is pulled, the driving hammer can be pushed to lean backwards and rapidly reset to hit and produce sound, the firing process of a real pistol is simulated, the firing effect is further enhanced, and the entertainment of the toy is improved.

The invention provides a method for establishing a soil organic carbon decomposition model based on a microbial process, which comprises the following steps: collecting soil and model parameters, and defining a model dry and wet region carbon library and microbial physiological state activity conditions; calculating the conversion speed of the carbon library between the dry and wet areas caused by the change of the water content in the soil; calculating the speed of forming DOC by enzyme catalytic decomposition of POC in the dry and wet regions and the speed of absorbing DOC by active microorganisms in the wet regions; calculating the speed of extracellular enzyme production, growth, respiration and death of the microorganisms and the MAOC density of the wet region during balance; establishing a mass balance equation of an enzyme carbon library ENZ and soil particle organic carbon POC; establishing a mass balance equation of dissolved organic carbon (DOC) and mineral bound organic carbon (MAOC); and establishing a dry and wet region microbial biomass MBC carbon library mass balance equation. According to the invention, the simulation capability of the model on organic carbon decomposed by soil microorganisms, especially pulse type soil respiration change caused by dry-wet change, is improved.

The invention provides an experimental device and method for simulating spontaneous burst of a dam part, the experimental device comprises an experimental water tank, the experimental water tank is supported and mounted at the top of a water tank bracket, a dam body is arranged in the experimental water tank, and a plurality of breaches with different shapes and sizes are formed in the dam body through cutting. A breach-shaped body used for temporarily plugging the breach is correspondingly arranged at the position where the breach is located; a tongue-and-groove seam is formed in the inner side wall of the experimental water tank, and the position where the tongue-and-groove seam is located is used for installing a blasting glass sheet; the water inlet end of the experimental water tank is provided with a reservoir, the reservoir is provided with a gate, the water outlet end of the experimental water tank is provided with a ground reservoir, and the top of the experimental water tank is provided with monitoring equipment for monitoring the experimental process. According to the device and the method, single-point and multi-point instantaneous spontaneous burst of the dam can be simulated, the shape and the size of a breach and the burst position can be self-defined, and the device and the method are applicable to experimental devices of water tanks with various sizes so as to solve the problems and defects in the prior art.

The present invention discloses a large-scale basin water quality simulation method and system based on CNN-Transformer, including: obtaining meteorological and hydrological driving data, water quality data and basin attribute data of multiple basins; preprocessing the data, dividing the processed data into training set and test set according to a certain ratio; embedding the three-dimensional time series data of the training set; encoding and linear transformation of the data; training the model, obtaining the final CNN-Transformer water quality simulation model according to the evaluation index of the training result, and inputting the data in the test set into the model to obtain the simulated value of the basin water quality. The present invention combines the Tansformer model with the convolutional neural network to better handle some water quality simulation problems with non-stationary and nonlinear relationships, and better capture the interdependence between multivariate variables.

The invention provides a full-automatic adaptive conductive slip ring current-carrying friction wear test system and method.The system comprises a test bench and a first test main body part installed on the test bench, the first test main body part comprises a first driving part and a transmission part which are connected with each other, and the transmission part is used for installing a to-be-tested conductive slip ring and driving the to-be-tested conductive slip ring to rotate; and the second test main body part comprises a clamping part and an automatic compensation part which are connected with each other, the clamping part is used for installing brush wires, and the automatic compensation part is used for driving the clamping part to move until the brush wires on the clamping part are in contact with the conductive slip ring to be tested in the rotating state. Wherein the brush wires are externally connected with a power supply; and the second driving part is used for receiving the mechanical parameters acquired by each mechanical sensor and adjusting the contact position between the brush wire and the conductive slip ring to be tested so as to maintain a constant loading condition. The system provided by the invention solves the problem that the self-adaptive adjustment of the outer diameter of the conductive slip ring and the automatic compensation of the abrasion loss cannot be realized in the current friction and abrasion performance test.

The invention provides a wave simulation method and device, terminal equipment and a medium, and the method comprises the steps: constructing a dynamic model of deep sea operation equipment, and constructing a turbulence model used for describing the motion characteristics of seawater fluid in the water outlet process of the deep sea operation equipment; performing grid division on a fluid domain where the deep sea operation equipment is located to obtain a plurality of fluid grids, and determining a multi-phase hybrid grid from the plurality of fluid grids based on a VOF model; numerical waves are manufactured based on the five-order Stokes theory, and for each fluid grid in an absorption area in a fluid domain, a damping source item is introduced into a momentum equation corresponding to the fluid grid to eliminate reflected waves generated by the boundary of the numerical water tank; based on the overshoot grid model, the acting force of the multi-phase mixed grid on the deep-sea operation equipment in the water outlet process is calculated, and the traction force needed by water outlet of the deep-sea operation equipment is determined according to the acting force. The water outlet simulation effect of the deep sea operation equipment can be improved.

The invention relates to the field of joint simulation of multi-class models, in particular to a joint simulation method of embedded computer digital twin multi-class models, which comprises the following steps: acquiring configuration information for a simulation object; obtaining a plurality of types of models required by simulation, packaging each type of model, constructing a to-be-operated simulation model library, and synchronously analyzing each type of model; starting a simulation model library, performing synchronous simulation, and determining resource synchronous competition characterization parameters for the synchronous simulation process based on complexity differences and load competition rates of various types of models so as to divide resource synchronous competition categories for the synchronous simulation process; in the synchronous simulation process, simulation parameters are adaptively controlled based on resource synchronous competition categories; according to the multi-class model joint simulation system and method, system resource competition in the multi-class model joint simulation process can be relieved, resource balanced distribution and the stability of the simulation process are guaranteed, and the simulation effect and efficiency are improved.