66 results about "Mathematical simulation" patented technology

The invention relates to the technical field of cloud computing, and discloses a data processing method and system based on cloud computing, and the method comprises the steps: dividing a cloud computing system into a data storage unit, a computing resource scheduling unit and a task distribution unit, determining the parameters of each unit, carrying out the modeling, constructing a distributed mathematical simulation model, and solving to obtain an initial simulation result. By establishing a dynamic programming model and a genetic algorithm model, computing resource scheduling and task allocation are optimized respectively, and a data redundancy strategy and a fragmentation rule are determined at the same time. The minimum system total energy consumption, the minimum task average time delay or the maximum resource utilization rate serves as a global optimization objective function, and the convergence condition is judged to optimize system configuration. According to the method, the data storage reliability, resource scheduling reasonability and task allocation efficiency of the cloud computing system are effectively improved, global optimization of the system is realized, and the method has a good application prospect.

The invention relates to a dynamic tumor tracking method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring 4DCT image data of a patient, and performing mixed data enhancement on the 4DCT image data to generate a 3DCT image representing each respiratory stage of the lung; based on the 3D CT image, generating an X-ray image in a respiratory cycle of a simulated patient by adopting a mathematical simulation method; registering the X-ray image and the 4DCT image data to generate a tumor tracking model of the patient; and inputting an X-ray image of a patient in a radiotherapy process into the tumor tracking model, and outputting a tumor tracking result through the tumor tracking model. According to the invention, real-time three-dimensional tracking of the tumor can be realized by using a single low-dose X-ray image under any geometric condition, high-precision tumor positioning can be provided on the premise of ensuring low radiation dose, the method is suitable for any projection angle and source-object distance change conditions, and various geometric relationship changes in the treatment process can be flexibly coped with.

The invention relates to the technical field of mathematical simulation, in particular to a vehicle collision test simulation degree prediction method and device and electronic device.The method comprises the steps that a training set of a vehicle collision test is obtained, and the training set comprises test parameter samples and a simulation degree result of the collision test corresponding to each sample; calculating an entropy value of each subset after each test parameter in the training set divides the training set, and calculating a corresponding overall entropy value after the test parameter divides the training set according to the entropy value; and gradually determining a plurality of division nodes in the training set according to the overall entropy value corresponding to each test parameter after the training set is divided, generating a prediction model of the vehicle collision test simulation degree according to the divided training set, and performing collision test simulation degree prediction on the target vehicle collision test by using the prediction model. Therefore, the problems that the simulation degree prediction cost of the vehicle collision test is high and the vehicle collision test is difficult to popularize and apply in the prior art are solved.

The invention discloses a steam turbine high-pressure control valve fault detection method based on an improved attention mechanism, and the method comprises the steps: generating a fault data set for training through building a mathematical simulation model of a steam turbine control system and various fault models of a high-pressure control valve; the short-term data with the high sampling frequency and the long-term data with the low sampling frequency are spliced into a mixed sequence, short-term and long-term data features are extracted by adopting a multi-scale attention mechanism, and system operation features under different time scales are fused; and acquiring context representation of each time point through a multi-head attention mechanism, and outputting a fault type prediction result of the time point by using a full connection layer and a softmax function. Through the method, the abnormal state of the high control valve of the steam turbine is detected, and a new technical means is provided for fault detection and prevention of a power system.

The invention provides a dynamic controlled wireless field signal simulation method for satellite communication navigation, and relates to the technical field of satellite simulation testing. A software and hardware environment depended by the method comprises a three-dimensional multi-antenna array in a satellite navigation darkroom, a plurality of independent satellite communication navigation signal simulation base bands corresponding to each antenna array element and satellite communication navigation constellation signal simulation mathematical simulation software; on the basis of a three-dimensional multi-antenna array, a method of combining mathematical simulation with channel dynamic instantaneous switching is adopted, so that satellite signals move relatively smoothly among antenna array elements, and signals received by a receiver in a dynamic controlled wireless field are ensured to be consistent in coming direction, high in fidelity and free of interruption compared with signals in an external real environment. The problem of dynamic signal simulation of a satellite communication navigation signal controlled wireless field is solved, a set of complete construction model is established, and a method basis and practical guidance are provided for future satellite navigation and communication navigation fusion test under low orbit enhancement.

The invention discloses a visual compensation alignment method and system for a special-shaped screen, and belongs to the technical field of image processing, and the method comprises the steps: obtaining physical geometric parameters of the special-shaped screen, carrying out the mathematical simulation, and generating a physical perception deviation map; receiving a content image, performing multi-scale semantic analysis, and generating a content perception joint constraint tensor; constructing and iteratively solving an energy function, and generating an optimal visual compensation flow field; performing nonlinear distortion and reconstruction, and outputting a pre-compensated content image; and performing sub-pixel-level processing through the flexible edge mixed mask, and outputting a final display picture. According to the method, a joint optimization strategy fusing a screen physical perception model and content semantic analysis is adopted, the key visual content can be intelligently protected while the physical fidelity is maximized, and seamless and high-fidelity fusion of a display picture and a special-shaped screen physical form is achieved.

The invention discloses a small celestial body sampling process dynamics and control simulation method based on particle dynamics. The method comprises the following steps: establishing a small celestial body particle dynamics model and a detector system flexible multi-body dynamics model; and establishing a particle dynamics-multi-body dynamics-control coupling simulation model, and realizing dynamics and control joint simulation solution calculation in the small celestial body sampling process by using a numerical integration algorithm. In order to solve the multidisciplinary, system-level dynamics and control joint simulation problem in the small celestial body sampling process, mathematical simulation models of small celestial body star soil particle flow dynamics, detector flexible multi-body dynamics, detector attitude and orbit control and mechanical arm control are provided, and the interface relation among the models is defined; multi-disciplinary and system-level joint simulation of particle dynamics-multi-body dynamics-control in the small celestial body sampling process is realized, and an important technical means is provided for small celestial body star soil weathered layer particle characteristic simulation and process dynamics and control coupling characteristic analysis.

The invention discloses a shallow natural gas displacement mathematical simulation method. Comprising the following steps that a shallow natural gas displacement mathematical model is established, the shallow natural gas displacement mathematical model is imported into COMSOL Multiphysics software, parameter processing of the shallow natural gas displacement solving process is carried out, definite solution conditions are set, parameters of different influence factors serve as variables to design multiple sets of simulation schemes, and according to the research content and characteristics of shallow natural gas, the parameters of the shallow natural gas displacement solving process are calculated. And on the basis of COMSOL Multiphysics software, a research mode and a solver are selected to solve each group of simulation schemes, and result analysis is carried out. According to the method, on the basis of a mathematical model, COMSOL Multiphysics multi-physics coupling software is adopted, the whole evolution process of non-coal measure stratum shallow natural gas displacement is simulated, performance parameters such as the influence range and the displacement time of shallow natural gas displacement are analyzed, and the performance of the non-coal measure stratum shallow natural gas displacement is improved. The factors may influence the displacement performance, such as pumping and drainage negative pressure, gas injection pressure, stratum permeability, drilling hole diameter, displacement position burial depth and the like.

The invention discloses a quaternion-based dynamic modeling method for a spatial rotation tether system, and the method comprises the steps: introducing a quaternion to replace a conventional Euler angle, and enabling the quaternion to be used for representing a conversion relation between coordinate systems; on the basis of dumbbell rod hypothesis, the whole space rotation tether system is regarded as a rigid body, and a corresponding constraint equation is provided; the quaternion is used for describing the motion characteristics of the spatial rotation tether system to replace a traditional in-plane angle and a traditional out-of-plane angle; deriving an incomplete constraint Lagrange equation in a quaternion form on the basis of the quaternion; solving a quaternion-based spatial rotation tether system dynamic model, and completing modeling; according to the method, the singular point problem in a traditional Lagrange model is effectively avoided, model basis and reference are provided for researching on-orbit three-dimensional motion of the space rotation tether system, and the method is already applied to mathematical simulation verification of the space rotation tether system.

The invention provides a simulation verification method for a flood discharge atomization physical model, which comprises the following steps: performing numerical simulation on the flood discharge atomization physical model by using an LBM model or an LES model, outputting a first simulation result, and extracting first droplet particle size distribution from a far field region; based on the geometrical characteristic parameters, experimental conditions and fluid physical parameters of the experimental device, mathematical simulation is carried out by adopting an Eulerian multiphase flow model and second numerical simulation software, a second simulation result is output, second droplet particle size distribution is generated from a far-field region, and the experimental device and the model meet a geometrical similarity ratio; and calculating a normalized deviation value of the particle size distribution of the first liquid drop and the particle size distribution of the second liquid drop, and if the value is less than a preset threshold value of 0.05-0.15, determining that verification is passed. The reliability and accuracy of the model can be improved, and a scientific basis is provided for optimizing flood discharge design and reducing atomization hazards.

The invention provides a GNSS simulator mathematical simulation system. The GNSS simulator mathematical simulation system comprises a constellation satellite orbit and clock parameter simulation subsystem, a navigation message generation subsystem, a user track simulation subsystem, an integrity simulation subsystem, a space environment effect simulation subsystem and a simulation data generation subsystem which carry out data interaction. The constellation satellite orbit and clock parameter simulation subsystem is composed of a space-time system model, an auxiliary database, satellite theoretical orbit data and satellite clock theoretical parameters. Wherein a time system model and a coordinate system model are built in the space-time system model, and astronomical constants and environmental parameter values in constellation satellite orbit and clock parameter simulation are built in the auxiliary database; a gravitational acceleration is calculated according to input initial time, initial position speed, integral time and model selection control parameter data of theoretical orbit data of satellites, and then numerical integral operation is performed on the gravitational acceleration by using a satellite shot motion equation to obtain a constellation satellite motion orbit.

According to the real-time path planning method for the arm end mechanism of the humanoid robot, all joints of the mechanical arm of the humanoid robot can be controlled to rotate through path planning, and therefore the purpose that the end executing mechanism of the humanoid robot reaches the designated position is accurately achieved. According to the algorithm, a target point which a robot end execution mechanism needs to reach, an iteration stopping distance and a stopping number in iteration are determined according to engineering requirements, the L2 norm of a target position posture and a current position posture error is minimized through a Newton-Euler method, and the optimal position at the next moment and the corresponding iteration joint angle are solved. And through repeated iterative calculation, the tail-section executing mechanism of the mechanical arm can reach the target point accurately finally. The target passes mathematical simulation verification, and finally, when the tail end of the mechanical arm reaches the target point through planning, the position error reaches the order of magnitude of 1e-10m, and the high-precision planning effect is displayed. The algorithm planning precision is high, and the method has a good application prospect.

A method comprises creating an electronic circuit design having a plurality of electronic components, creating an analog simulation model of the electronic circuit design, and executing the analog simulation model to generate one or more simulation logs representing simulated operation of the electronic circuit design. The method also comprises generating a neural network model based on the one or more simulation logs, the neural network model comprising a plurality of weights and generating a mathematical simulation model based on the neural network model.

The application discloses a kind of gamma irradiation medium modules, including irradiation container and the several medium modules being arranged in irradiation container, irradiation container and medium module are cuboid structure;The length and height of single medium module are slightly less than the length and height of irradiation container one third respectively, the width of single medium module is slightly less than the width of irradiation container;The number of all medium modules=the number of medium module in full load in irradiation container * irradiation station number, irradiation station is used to place irradiation container;A dose field test and analysis method for gamma irradiation medium module is also disclosed.The application clearly medium module in irradiation container in loading mode and related parameters such as radiation safety, clearly irradiation device dose field is carried out mathematical simulation, the establishment of OQ dose field test coordinate system, dose meter is laid out mesh and point, the analysis use method of actual measurement dose data, provides proof data and technical basis, effectively improves core technical ability and quality assurance ability.

The present invention discloses a navigation signal simulation method based on time delay and power controllability. The method includes: Step S1, performing position calculation on the visible satellite system based on a given receiver device to obtain the baseband observables of the visible satellite signals and the visible motion state of the given receiver device; Step S2, calculating the spoofing range Δρ based on the visible motion state of the given receiver device; Step S3, using the baseband observables of the visible satellite signals and the spoofing range Δρ as input variables to input into a mathematical simulation software for simulation to obtain a simulated spoofing signal; Step S4, inputting the spoofing signal into the given receiver device; Step S5, verifying a preset spoofing scheme by comparing the visible motion state of the given receiver device with the visible motion state in the spoofing scenario. The present invention can generate spoofing signals of different dimensions under different spoofing paths. The simulation scheme has a high degree of flexibility, is convenient, and can verify the simulation results in real time.

The invention specifically discloses a relative orbit dynamics multi-dimensional ground simulation method using a ducted fan, and relates to the technical field of spacecraft ground simulation. According to the method, a ducted fan compensation platform is designed, the ducted fan compensation platform comprises a ducted fan, a main structure frame and a fan driving unit, the ducted fan compensation platform is integrally fixed to the air floatation simulator, and the method comprises the specific steps that a target spacecraft reference coordinate system and a simulator body coordinate system are established, and a space-time scaling model is determined; a simulator pose is obtained in real time through a pose measurement system; starting a jet system to generate relative displacement, and inversely calculating an actual space relative distance and a nonlinear acceleration by combining a C-W equation and a space-time scaling model; the ducted fan is controlled to provide xoy plane nonlinear compensation force, and z-axis direction compensation force is calculated through mathematical simulation coupling. The problem that a traditional air floating platform cannot simulate the dynamic characteristics and multi-dimensional motion of a spacecraft orbit is solved, and the precision of a spacecraft ground simulation test is remarkably improved.

The invention relates to a GNSS (Global Navigation Satellite System) multimode co-frequency and analog forwarding device, which comprises a remote / local control module for controlling the switching between a co-frequency forwarding mode and an analog forwarding mode; the satellite signal monitoring and receiving module is used for receiving a real satellite navigation signal and performing navigation and positioning; the simulation control module is used for providing parameters required for simulating real navigation based on the real satellite navigation signal; the mathematical simulation module is used for generating satellite observation data and original navigation messages according to the parameters required for simulating the real navigation; the data processing module is used for preprocessing satellite observation data and original navigation messages; and the satellite signal generation module is used for generating a final simulation satellite navigation signal according to the preprocessed satellite observation data and the original navigation message. According to the invention, quasi-seamless connection positioning can be realized indoors and outdoors or under the condition of satellite navigation signal rejection.

The invention relates to a method for predicting and planning an attitude pointing sun-avoiding maneuvering path, which is used for solving the problem of planning an attitude maneuvering path of a spacecraft with attitude pointing constraint. The method comprises two steps of maneuver prediction and attitude maneuver, if it is predicted that a conventional maneuver path can enable a pointing shaft to enter a prohibited area before attitude maneuver, a proper middle attitude is selected, a spacecraft is made to maneuver towards the middle attitude firstly, then the spacecraft is selected to maneuver towards a target attitude, and therefore a new maneuver path capable of avoiding the prohibited area is planned. Finally, the feasibility of the method is effectively proved through mathematical simulation analysis. According to the technical scheme, an effective and feasible method is provided for preventing the pointing shaft from entering the sun prohibited area in the attitude maneuver process.

The invention provides a microwave photon module performance management method based on a knowledge graph. The method comprises the following steps: establishing a performance index knowledge graph of groups / devices forming a microwave photon module; establishing a knowledge graph of the microwave photon module signal flow graph; establishing a performance index mathematical simulation model of the microwave photon module; when the performance index of any group / device is changed, calling the performance index mathematical simulation model to respectively calculate model outputs before and after the change of the performance index, and if the model output corresponding to the changed performance index is not inferior to the model output corresponding to the performance index before the change; and if not, updating the performance index knowledge graph of the corresponding group / device and updating the knowledge graph of the signal flow graph. According to the method, the consulting efficiency of the signal flow and performance index range of the microwave photon module and the performance index range of the internal group / device is effectively improved, the evaluation difficulty of the change influence range and degree in the full life cycle of the performance index range of the module and the internal group / device is reduced, and the evaluation accuracy and efficiency are improved.

The present invention discloses a method for determining the slope reduction rate range of the inlet of the lower horizontal tunnel of a swirling vertical shaft based on numerical simulation, belonging to the technical field of hydrodynamic mathematical simulation for urban flood control and drainage. First, an index representing the magnitude of slope reduction is proposed: the slope reduction rate. Since the reasonable value range of the unknown slope reduction rate is not known, different slope reduction rates can be set, and the reservoir water level H and the outlet velocity v of the slope reduction at each operating condition are extracted. Then, the relationship curves of water level ~ slope reduction rate and energy dissipation rate ~ slope reduction rate are established. By referring to the curve charts, the reasonable slope reduction rate range is determined. Finally, slope reduction rate values within the range are randomly selected for simulation calculation, and the calculation results are compared with the results obtained from chart query to verify the feasibility of the reasonable slope reduction rate range. The present invention can not only stabilize the flow pattern of water with a large discharge slope ratio and high velocity flowing through the lower horizontal tunnel, but also ensure smooth ventilation at the top of the lower horizontal tunnel, avoiding the "blocked tunnel" of mountain floods.

The present invention proposes a GNSS simulator mathematical simulation system, which includes a constellation satellite orbit and clock parameter simulation subsystem, a navigation message generation subsystem, a user trajectory simulation subsystem, an integrity simulation subsystem, a space environment effect simulation subsystem and a simulation data generation subsystem for data interaction; the constellation satellite orbit and clock parameter simulation subsystem is composed of a space-time system model, an auxiliary database, satellite theoretical orbit data, and satellite clock theoretical parameters; the space-time system model has a built-in time system model and a coordinate system model, and the auxiliary database has built-in astronomical constants and environmental parameter values in the constellation satellite orbit and clock parameter simulation; the satellite theoretical orbit data calculates gravitational acceleration based on the input initial time, initial position velocity, integration time, and model selection control parameter data, and then uses the satellite motion equation to perform numerical integration operations on it to obtain the constellation satellite motion orbit.

Disclosed is a system including a computing hardware for processing input data defining parameters describing a population and a pathogen affecting or potentially affecting the population, wherein the computing hardware is configured to apply a mathematical simulation model to the 5 input data to generate output data providing a forecast indicative of an effect of the pathogen on the population, wherein the mathematical simulation model is configured to use at least a Susceptible-Infected- Recovered model (SIR model), characterized in that the system is configured initially to apply the SIR model to an historical part of the input 10 data to generate an initial iteration of the output data, and then to train the SIR model during a training period on a recently-acquired part of the input data to improve an accuracy of the SIR model when generating a subsequent iteration of the output data.

The application discloses a consciousness numerical simulation driven digital human interaction system and method based on quantum computing characteristics, and relates to the fields of quantum artificial intelligence and digital human interaction.The system comprises a quantum computing processing module, a consciousness numerical generation module, a multi-modal linkage control module and an industrial-grade service support module; high-dimensional quantum characteristics are extracted through parameterized quantum circuits to calculate and generate consciousness strength values simulated purely by mathematics; the consciousness strength values drive 3D digital human animation, speech synthesis and dialogue strategies in real time to realize dynamic, continuous and autonomously evolving interactive performance.The application does not generate real consciousness and has no ethical risks, and at the same time, has high-availability industrial-grade capabilities such as distributed caching, data persistence, user authentication, order payment and background autonomous training, and can be directly commercialized and deployed.The application solves the technical problems of single performance of traditional digital humans and difficulty in engineering and landing of quantum AI, and is suitable for virtual digital humans, intelligent interaction, commercial display and enterprise-level service scenarios.

The present application relates to the technical field of power quality disturbance classification, and particularly relates to a power quality disturbance classification method based on multi-channel separable convolution.The technical scheme comprises the following steps: a power quality disturbance mathematical simulation model is established, Gaussian white noise is added to the disturbance signal to obtain a noisy power quality disturbance signal S; the decomposition scale K and the penalty factor alpha of variational mode decomposition are optimized by using a particle swarm algorithm, the power quality disturbance signal is decomposed by using an improved variational mode decomposition model to obtain multiple intrinsic mode components; the Pearson correlation coefficient is calculated to set a threshold to screen the intrinsic mode components.The present application avoids the interference of redundant modes on classification, generates multi-channel image data in combination with a Markov transition field, retains the dynamic characteristics of the components, uses a multi-channel separable convolution residual network based on weight sharing for classification and identification, makes up for the shortcomings of traditional single-channel identification, and improves the classification accuracy.

The present invention relates to the field of flow field analysis. The present invention discloses a flow field detection method, device, equipment and medium, including obtaining experimental original data from an atmospheric turbulence simulation device; establishing a mathematical simulation model according to the experimental original data, and obtaining simulation data from the mathematical simulation model; performing data verification on the simulation data and the experimental original data to obtain training data; establishing a deep learning model; training the deep learning model according to the training data to obtain an optimized deep learning model; performing inversion calculation on the internal flow field of the atmospheric turbulence simulation device by optimizing the deep learning model to obtain inversion data; thanks to the fast inversion capability of the deep learning model, the calculation cycle of the mathematical simulation model is significantly shortened, and the simulation efficiency is improved, so that the experimenter can perform real-time regulation and control of the atmospheric turbulence simulation device based on the inversion data, respond to the experimental needs in real time, and improve the accuracy and efficiency of the experiment.

The present invention provides a method for automatically constructing a mathematical simulation software framework for an aircraft, belonging to the technical field of system simulation, and comprising the following steps: S1: encapsulate each discipline model and store the information in a model library; S2: read a graphical simulation process description file; S3: perform DTD constraint verification on the file; if the file is invalid, execute S13; if it is valid, execute S4; S4: parse the file; S5: connect to the model library, if the connection fails, execute S13; if the connection is successful, execute S6; S6: obtain the information parsed in S3 from the model library; S7: check whether the input and output match; S8: if the connection rules are not met, execute S13; if they are met, execute S9; S9: determine the execution order of each model; S10: generate a basic simulation program framework; S11: add call codes for model initialization functions; S12: add call codes for model running functions to obtain a mathematical simulation software, solving the problem of slow framework construction speed in the prior art.

The invention discloses a semi-physical rotor unmanned aerial vehicle simulation system driven by a digital simulation engine. The semi-physical rotor unmanned aerial vehicle simulation system comprises a ground rotor unmanned aerial vehicle platform and a digital simulation deduction platform, the ground rotor unmanned aerial vehicle platform is used for hardware simulation of rotor unmanned aerial vehicle airborne equipment and actual physical simulation of an attitude control model; the digital simulation deduction platform comprises a simulation computer and display and man-machine interaction equipment; and the simulation computer performs two-way data transmission with the rotor unmanned aerial vehicle through the wireless serial port antenna. Compared with a traditional unmanned aerial vehicle semi-physical simulation system and method, a digital simulation deduction platform is combined with a ground multi-rotor unmanned aerial vehicle platform supporting unmanned aerial vehicle three-axis autonomous motion; according to the method, mathematical simulation of unmanned aerial vehicle path optimization and a motion control algorithm, hardware simulation of airborne equipment such as a flight controller, an airborne sensor and an execution mechanism and actual physical simulation of an attitude control model can be realized at the same time, so that the fidelity of ground simulation of the rotor unmanned aerial vehicle is improved.

The present invention provides a method for simulating dynamic controlled wireless field signals for satellite communication and navigation, and relates to the field of satellite simulation test technology. The software and hardware environment on which the present invention relies includes a three-dimensional multi-antenna array in a satellite navigation darkroom, a plurality of independent satellite communication and navigation signal simulation basebands corresponding to each antenna array element, and mathematical simulation software for simulating satellite communication and navigation constellation signals; the present invention is based on a three-dimensional multi-antenna array, and adopts a method of combining mathematical simulation with dynamic instantaneous switching of channels to enable satellite signals to move relatively smoothly between antenna array elements, thereby ensuring that the signals received by the receiver in the dynamic controlled wireless field are consistent in direction, highly realistic, and uninterrupted compared to the signals in the real external environment. The present invention breaks through the difficulties in dynamic signal simulation of controlled wireless fields for satellite communication and navigation signals, and establishes a complete set of construction models, providing a methodological basis and practical guidance for future satellite navigation and communication and navigation fusion testing under low-orbit enhancement.

The invention discloses a ship motion simulation method based on multiple full-rotation power systems. The ship motion simulation method comprises the steps that S1, real-time longitude and latitude data of a ship are acquired; s2, acquiring a current distance between the current center position and a preset reference center point position in a preset virtual scene; s3, judging whether the current distance exceeds a preset maximum distance threshold value or not, and if the current distance is determined to be greater than the preset maximum distance threshold value, continuing to execute the step S3; s3, acquiring ship body offset data based on the constructed global offset strategy; s4, the current full-rotation rudder angle of the ship is obtained, full-rotation engine dynamic calculation is conducted on the basis of the multiple full-rotation power systems, and then ship full-rotation engine actual data of all the ships are obtained; and S5, acquiring ship translation simulation data and ship rotation simulation data based on the ship body offset data according to actual data of the ship full-rotation engine, and further realizing analogue simulation of ship motion. The problems that a computational fluid mechanics mode is mainly used for mathematical simulation of the full-rotation type ship at present, the computational fluid mechanics mode is high in calculation precision but complex in calculation, and real-time simulation calculation cannot be achieved are solved.