31 results about "Mathematical simulation" patented technology

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 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.

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.

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 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 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.

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 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.

The invention discloses a numerical simulation-based mine pit water inflow prediction method, which comprises the following steps of: firstly, constructing a hydrogeological conceptual model of a research area, and determining the range and boundary conditions of the research area, a hydrogeological structure, hydrogeological parameters and groundwater supply and drainage items; establishing a three-dimensional unsteady flow underground water flow numerical model by adopting underground water simulation software GMS, carrying out space-time discrete processing on the model, and configuring initial conditions at the same time; performing parameter identification and effect verification on the underground water flow numerical model by using field water pumping test data and hydrogeological parameters, so that a model calculation result is consistent with an actual hydrogeological condition; and finally, based on the verified underground water flow numerical model, calculating and outputting a mine pit water inflow prediction result. According to the method, the water inflow of the mining area is predicted through the software program GMS applied to underground water flow mathematical simulation, and then guarantee is provided for safe production of the mining area.

The invention particularly relates to an integral event-triggered hovering control method for an underwater vehicle, which comprises the following steps of: defining a coordinate system required by modeling, defining a state variable and control input, and performing reasonable assumption simplification according to characteristics of hovering maneuver; establishing four-degree-of-freedom dynamics and kinematics equations for hovering in a vertical plane; defining a nominal system for AUV hovering, and designing an optimization problem and a cost function of MPC; an integral type event triggering mechanism is introduced, and specific integral type event triggering conditions are designed; analyzing the upper and lower bounds of the trigger time of the designed trigger condition, and proving; and the performance of the designed controller is verified through mathematical simulation. According to the method, consumption of computing resources during hovering control of the AUV can be reduced, so that stable hovering control is realized while the state constraint of the AUV and the mixed integer constraint of the VBS are met.

The application discloses a kind of shallow natural gas displacement mathematical simulation methods, comprising the following steps: establishing shallow natural gas displacement mathematical model, shallow natural gas displacement mathematical model is imported into COMSOL Multiphysics software and is carried out shallow natural gas displacement parameter processing and setting solution condition of solution process, the parameters of different influencing factors are designed as variable design multiple groups of simulation schemes, according to the research content and characteristics of shallow natural gas, based on COMSOL Multiphysics software, each simulation scheme is solved by selecting research mode and solver, and result analysis is carried out.The application is based on mathematical model, using COMSOL Multiphysics multi-physical field coupling software, simulates the whole process of non-coal formation shallow natural gas displacement evolution, analyzes the influence range, displacement time and other performance parameters of shallow natural gas displacement, and the factors such as pumping negative pressure, gas injection pressure, formation permeability, borehole diameter, displacement horizon depth, which may affect displacement performance.

The application discloses a silicon-based liquid crystal device phase modulation method, equipment, medium and product, relates to the technical field of silicon-based liquid crystal spatial light modulation, and the method comprises the following steps: determining the grating period length of a target deflection angle; determining the number of pixels in a unit blazed period according to the grating period length and the pixel electrode size of the silicon-based liquid crystal device; constructing a mathematical simulation model corresponding to a periodic initial equal-phase difference stepped phase topography; superimposing a plurality of discrete harmonic components on the mathematical simulation model to obtain a stepped blazed grating topography superimposed with the discrete harmonic components; performing parameter matching optimization on the stepped blazed grating topography superimposed with the discrete harmonic components according to a set parameter range based on the diffraction order energy distribution to obtain an optimized stepped blazed grating topography; and using the optimized stepped blazed grating topography to modulate incident light of the silicon-based liquid crystal device. The application can effectively improve the main energy level diffraction efficiency of the silicon-based liquid crystal device and reduce other level stray light components.

The application discloses an active power distribution network fault discrimination method and device and a storage medium, and relates to the technical field of electric power. The application comprises the following steps: acquiring the topological structure, system parameters, converter position and fault ride-through control strategy of an active power distribution network, building a mathematical simulation model, acquiring existing fault data and correcting the parameters of the mathematical simulation model; acquiring the transient current data of the converter and the system under fault state and non-fault state under different fault ride-through controls, and constructing the correlation relationship between the transient current peak value, trigger time, distortion rate and the power distribution network fault and fault type; learning the transient current data by using a deep feedforward neural network, and establishing a fault discrimination model; acquiring real-time operation data, inputting the real-time operation data into the fault discrimination model, and obtaining the fault discrimination diagnosis result of the active power distribution network. The application can improve the fault discrimination accuracy, and provides a feasible technical solution for realizing the fault diagnosis of the power distribution network under the background of high-proportion distributed power access.

A mathematical simulation model to the 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). The SIR model is applied to a historical part of the input data to generate an initial iteration of the output data, the SIR model trained 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. Vaccine forecast for mitigating pathogen impacts, Fourier computation and variations in infection rates over time may be used to predict epidemiological burden, hospital admissions and deaths. Input data may be acquired in part using sensor arrangements.

A kind of spacecraft control system user demand automatic generation method based on C code, algorithm encapsulation is carried out using C compiling technology;Then state flow chart and program flow chart are built, and user demand simulation C code is edited to carry out controller design;Then the user edited user demand simulation C code is encapsulated into a C++ class that meets the interface requirements of mathematical simulation verification platform;Finally, the C code is automatically generated into a user demand Word document according to the template format, and the C language variables specified by the user for replacement are replaced into mathematical symbols, and the mathematical functions existing in the rule table are replaced into mathematical calculation expressed by mathematical symbol table. The present application realizes the encapsulation of mature and reliable C code, which is used as a standard component for writing software user demand, solves the problems of manual writing of spacecraft control system user demand, no effective tool for error checking, and inconsistency between user demand and simulation verification code.

The invention provides an all-electric propulsion satellite attitude and orbit combined control stability analysis method, which comprises the following steps: S1, establishing an all-electric propulsion satellite attitude and orbit dynamic model, and setting model parameters; s2, carrying out dynamics mathematical simulation by utilizing the established dynamics model, calculating an all-electric propulsion satellite orbital transfer ignition attitude yaw angle and orbital transfer point orbital parameters, determining whether a satellite gain margin and a nonlinear margin meet requirements or not, and returning to S1 to modify the attitude and orbital dynamics model or modify the model parameters if the satellite gain margin and the nonlinear margin do not meet the requirements of the margins; s3 is executed after the margin requirement is met; s3, a vibration environment characteristic model is introduced into the full-electric propulsion satellite control loop, short-time impact vibration characteristics and long-time vibration disturbance characteristics are considered, dynamic mathematical simulation is carried out again based on the simulation result of the S2, vibration characteristic factor transmission and influence analysis is carried out, the influences of different vibration sources on the satellite attitude and orbit control loop are obtained, and the satellite attitude and orbit control loop is obtained. And the stability margin of the full-electric propulsion satellite control loop is analyzed, and adaptive analysis results of the satellite to different vibration sources are given.

The application relates to a GNSS multi-mode same-frequency and analog forwarding device, which comprises a remote / local control module for controlling switching between a same-frequency forwarding mode and an analog forwarding mode; a satellite signal monitoring receiving module for receiving real satellite navigation signals and performing navigation positioning; an analog control module for providing parameters required for analog real navigation based on the real satellite navigation signals; a mathematical analog simulation module for generating satellite observation data and original navigation electric texts according to the parameters required for analog real navigation; a data processing module for preprocessing the satellite observation data and the original navigation electric texts; and a satellite signal generation module for generating final analog satellite navigation signals according to the preprocessed satellite observation data and the original navigation electric texts. The application can realize quasi-seamless connection positioning in indoor or outdoor environments or in the case of satellite navigation signal denial.

The invention particularly relates to an underwater vehicle self-triggering model prediction hovering control method, which comprises the following steps of: according to hovering motion characteristics of an AUV (Autonomous Underwater Vehicle), reasonably assuming and simplifying an AUV hovering model; according to hypothesis and simplification, establishing four-degree-of-freedom dynamics and kinematics equations in a vertical plane; analyzing the characteristics and actual constraints of the VBS according to the working requirements of the AUV on the VBS; according to the layout of the VBS on the AUV, force and torque changes caused by modeling water injection and drainage to the AUV are analyzed; designing an online minimization cost function and an optimization control problem required by the MPC, and designing an MPC controller of nonlinear mixed integer programming; designing a self-triggering mechanism, and calculating a next triggering moment and a prediction time domain according to the current state of the AUV; and the performance of the designed controller is verified through mathematical simulation. According to the method, the dynamic constraint of the VBS executing mechanism and the state constraint of the AUV are considered, the stable hovering control problem under switch input is solved, a self-triggering mechanism is introduced, and the optimal calculation burden of MPC is reduced.

This invention relates to the field of process industry computing, specifically to a complex process simulation computing system and its construction method for process industries. Addressing the problems encountered in the mathematical simulation of complex process industries, the process simulation computing system is divided into two main layers: internal iterative computation and external iterative computation. Internal iterative computation focuses on the numerical solution of industrial unit models, while external iterative computation emphasizes the modeling and analysis of the flow diagram to reveal the topological structure of the process flow. In the overall method, external iteration continuously calls internal iteration, decoupling model parameters and process structure. Internal iterative computation is nested within external iterative computation, achieving a holistic solution of the entire external process and each internal model. This solves the problems of unclear description of complex processes, slow iteration convergence speed, and low algorithm efficiency in external iterative computation.

An additive manufacturing system may include an additive manufacturing device and a process map generation system. The process map generation system may generate an operational process map responsive to mathematical simulations of an additive manufacturing device, cause the additive manufacturing device to print a plurality of test structures responsive to the operational process map, detect one or more defects in each of the plurality of test structures, automatically update the operational process map responsive to the defects, and modify one or more operating parameters of the additive manufacturing device responsive to the updated operational process map.

The invention discloses an existing building zero-carbon transformation effectiveness digital intelligence prediction system and method, and relates to the technical field of existing building transformation optimization. The system comprises an information acquisition module which is used for acquiring and storing building model information and time sequence data associated with prediction of zero-carbon transformation effectiveness; the processing and analyzing module is used for processing, mining and fusing multi-source heterogeneous data and then accounting the full-aperture energy consumption active carbon emission; the scheme optimization module is used for formulating an existing building zero-carbon transformation strategy and iterating parameters and algorithms associated with effectiveness prediction; and the evaluation and prediction module is used for evaluating the carbon reduction efficiency of the transformation strategy and predicting the annual energy consumption activity total carbon emission after optimization. According to the method, the zero-carbon transformation effectiveness of the existing building is rapidly predicted by comprehensively applying multiple digital intelligence technologies, the rapid prediction model is established by coupling finite measured data through mathematical simulation, the livable operation carbon footprint distribution of the existing building is checked, and the prediction result is closer to the actual operation effect.

The application discloses a respiratory waveform simulation method, comprising S1, constructing a mathematical simulation model of a respiratory waveform, the respiratory waveform comprising a mechanical ventilation waveform, an assisted ventilation waveform; S2, obtaining a case to be displayed, and obtaining initial respiratory state information of a patient; S3, obtaining a respiratory mode instruction of a target user based on the initial respiratory state information, determining a target respiratory waveform under the current respiratory mode instruction based on a mapping relationship between a respiratory mode and a respiratory waveform; and S4, obtaining a patient respiratory parameter instruction and a ventilator parameter instruction of the target user, executing the mathematical simulation model of the target respiratory waveform, and realizing simulation of a respiratory waveform state and change of a patient under different ventilator modes, which helps medical students better understand different ventilator waveforms and master ventilator technology.

The invention discloses a method for accurately controlling the speed of an axisymmetric aircraft through additional control surface resistance. The method comprises the following steps: acquiring a nominal track and pneumatic data of the aircraft according to a mathematical simulation result of the aircraft; obtaining a nominal speed interpolation table and a speed control threshold value interpolation table by using the nominal trajectory and the pneumatic data, thereby determining a nominal speed, a speed control threshold value and a speed control gain; acquiring real-time flight data of the aircraft, and calculating a preliminary deceleration channel rudder deflection angle instruction according to the deviation between the actual speed and the nominal speed and between the actual speed and the speed control threshold by combining the speed control gain; and carrying out nonlinear processing on the preliminary deceleration channel rudder deflection angle instruction, superposing the instruction on a single-piece rudder deflection angle instruction calculated by a guidance law of the aircraft, and sending the instruction to a servo mechanism of the aircraft to execute pneumatic control on a control surface. According to the method, the falling speed of the aircraft can be accurately controlled while the guidance law effect is not affected.

The application relates to the technical field of space mechanical refrigerator control, and provides an automatic intelligent optimization method for active temperature control simulation of a mechanical refrigerator. The electromagnetic simulation software, the mathematical simulation software and the multidisciplinary optimization software are organically combined to construct a multi-physical-domain joint simulation accelerated operation and automatic control optimization method suitable for an active temperature control system of a mechanical refrigerator. The method forms a complete set of intelligent workflow of multidisciplinary integration, has the characteristics of one-time deployment and reusability, and effectively improves the efficiency and convenience of system design, verification and optimization. Through the automatic optimization process, the application can obtain key optimal control parameters, provides a quick optimization and correction direction for subsequent software design of a control algorithm, and thus significantly improves the overall performance and engineering application value of the temperature control system of the mechanical refrigerator.

The application discloses a boundary condition setting method for enhancing initial stability of simulation and a related device, and comprises the following steps: when the actual arc starting current is less than 4kA, a transition current is not added, and the arc starting is performed through the actual current, so that the stability of initial solving can be ensured; and when the arc starting current is 4kA or above, since the initial current area is wide in the model, the problems of numerical instability or non-convergence are prone to occur when the parameters in the calculation model are calculated, therefore, a transition small current is added before the actual current is introduced. The application designs to increase the transition time according to different arc starting current conditions, so as to ensure the stability of simulation calculation. At the same time, the application also ensures the consistency with the actual arc combustion law in the circuit breaker. The application provides an effective mathematical simulation model for improving the performance of the high-voltage circuit breaker, and provides a strong support for improving the reliability of the power system.

The invention relates to the technical field of space mechanical refrigerator control, and provides an automatic intelligent optimization method for active temperature control simulation of a mechanical refrigerator. According to the embodiment of the invention, electromagnetic simulation software, mathematical simulation software and multidisciplinary optimization software are organically combined to construct the multi-physical domain joint simulation accelerated operation and automatic control optimization method suitable for the active temperature control system of the mechanical refrigerator, and the method forms a whole set of multidisciplinary integrated intelligent workflow. The method has the characteristics of one-time deployment and reutilization, and effectively improves the efficiency and convenience of system design, verification and optimization. Through the automatic optimization process, the key optimal control parameters can be obtained, a rapid optimization and correction direction is provided for software design of a subsequent control algorithm, and therefore the overall performance and the engineering application value of the refrigerator temperature control system are remarkably improved.