119 results about "Radiation model" patented technology

The invention provides a method for predicting the deposition thickness, a storage medium and electronic equipment, and aims to predict the deposition thickness and provide an important basis for optimizing the chemical reaction process and optimizing the structural design of a reaction cavity so as to improve the uniformity of the deposition thickness of a target material in actual production. The method for predicting the deposition thickness comprises the following steps: carrying out grid division on a three-dimensional model to obtain a grid model; importing the gridding model into a numerical solver, and setting working conditions, a turbulence model, an energy model and a radiation model in the numerical solver; setting calculation conditions in the transient solver, wherein the calculation conditions comprise deposition time, a time step length and the maximum number of iterations; and carrying out iterative solution, and processing an iterative solution result to obtain the deposition thickness of the target material. By performing transient solution on the gridding model, the states of the flow field and the chemical reaction at different moments can be calculated in real time so as to predict the deposition thickness.

The invention relates to the technical field of new energy, in particular to an optimization method based on urban building group solar radiation energy utilization, and provides an optimization method integrating multiple factors by adopting the method provided by the invention, so that the solar energy utilization potential can be evaluated more comprehensively, and the solar energy utilization efficiency can be improved. The method comprises the following steps: firstly, comprehensively obtaining preprocessed CIM, BIM, GIS and other urban three-dimensional environment model data, accurately calculating a shielding angle and a shielding area so as to optimize an arrangement scheme of a solar panel, secondly, introducing a dynamic correction mechanism, updating a solar radiation model in real time, and combining meteorological data (such as cloud amount and atmospheric transmissivity) and seasonal green plant coverage change so as to optimize the arrangement scheme of the solar panel; an energy utilization scheme is dynamically optimized, the prediction precision and the solar energy utilization effect are remarkably improved, solar panel layout suggestions are provided by constructing an optimization objective function and combining algorithm solution, a solar panel layout scheme avoiding the caustics effect is designed by analyzing the influence of different building shapes on a caustics surface, and potential risks are reduced.

The invention relates to a method for verifying a Mars sky radiance simulation result based on a Mars real-shot photo, and belongs to the technical field of Mars sky background radiance. Comprises: image acquisition; performing radiation calibration; correcting dark current; performing flat field correction; converting a radiation value; and geometric correction. The Mars sky radiance simulation method breaks through the dependence of an existing model on idealized hypothesis, performs dynamic verification by using actual shot image data, remarkably improves the authenticity and reliability of a Mars sky radiance simulation result, and effectively solves the problem of systematic deviation under a specific wave band; by constructing a complete process from image acquisition, radiation calibration, geometric modeling to brightness inversion and comparison verification, dynamic feedback and closed-loop correction of a theoretical radiation model are realized, model adaptability is improved, and fine modeling under multi-temporal and multi-meteorological conditions is supported; the method can be applied to an existing Mars rover navigation camera and an image processing link of the Mars rover navigation camera, does not need additional modification, has good engineering practicability and task compatibility, and is convenient to popularize and apply.

The invention discloses an underwater target electric field positioning method based on a particle swarm differential evolution hybrid algorithm, and provides the underwater target electric field positioning method based on the particle swarm differential evolution hybrid algorithm PSODE by combining a differential evolution algorithm DE and a particle swarm optimization algorithm PSO. A three-layer medium electric field radiation model closer to an actual positioning scene is utilized, multiple algorithms are fused, the risk of falling into a local optimal solution is reduced, dynamic parameters are adjusted to meet the requirements of actual application, and finally long-distance accurate positioning of the underwater constant-current electric dipole source is achieved.

The invention relates to a modeling method for multi-scale fruit environment characteristic parameterization classification quantitative detection, which comprises the following steps: S10, obtaining illumination and temperature space distribution characteristics through high-precision satellite remote sensing image data, carrying out gridding processing on environment characteristics of a to-be-detected area, and obtaining a data matrix according to a solar radiation model and a surface temperature inversion model; classifying and partitioning the temperature and illumination features of the gridded orchard area through ground experiment control points; s20, establishing a multi-angle profiling calibration field through the temperature and illumination characteristics of the gridding orchard area; s30, accurate angle calibration is carried out, fruit reflectivity characteristic angles are selected, and a multi-angle polarization reflectivity database is established; and S40, acquiring a reflectivity change rule of fruits in the same region at different angles and polarization directions by using an unmanned aerial vehicle multispectral camera, extracting key parameters with obvious environment temperature and illumination characteristics, and fitting a region scale spectral reflectivity curve model and a typical environment multi-angle polarization spectral response function. The fruit partition quantitative detection precision is improved.

The invention discloses a surveying and mapping method and system based on an unmanned aerial vehicle remote sensing technology, and relates to the field of surveying and mapping. Comprising the following steps: unmanned aerial vehicle multispectral image data acquisition: carrying a multispectral camera at the bottom of an unmanned aerial vehicle, setting flight parameters of the unmanned aerial vehicle, and acquiring image data by the multispectral camera in the flight process of the unmanned aerial vehicle; image processing: carrying out radiation model correction and geometric correction on the acquired image so as to eliminate illumination variation and geometric distortion and ensure that the physical significance of image data is accurate; performing multi-view image feature matching, establishing a corresponding relation among different view images, and providing matching point pairs for three-dimensional reconstruction; and three-dimensional point cloud reconstruction: restoring a scene three-dimensional structure from the two-dimensional image, and generating a dense point cloud model. The method has the effect of improving precision, centroid centralization eliminates accumulative errors, covariance matrix construction accurately captures point cloud space distribution characteristics, singular value decomposition strictly ensures orthogonality constraint of a rotation matrix, and mathematical derivation can obtain a globally optimal solution.

The invention relates to the technical field of intelligent disinfection, and discloses an intelligent ultraviolet disinfection control system and method based on environmental perception, and the system comprises an information extraction module, a radiation model construction module, a dose distribution module, a disinfection module, a data feedback module and a disinfection termination module. Wherein an initial model is constructed based on three-dimensional point cloud data and reflectivity characteristics, reflectivity compensation is performed on the initial model, and an ultraviolet radiation field attenuation model is obtained; coupling the ultraviolet radiation field attenuation model with an ultraviolet sterilization threshold database to obtain an ultraviolet dose spatial distribution map; the to-be-disinfected object is disinfected according to the ultraviolet dose space distribution diagram; dynamically correcting the ultraviolet radiation field attenuation model based on irradiance feedback data of the to-be-disinfected object during disinfection to obtain an ultraviolet dose regulation and control instruction of the to-be-disinfected object; when the ultraviolet dose regulation and control instruction reaches a biosafety threshold value, the disinfection process is terminated; the intelligent disinfection efficiency can be improved.

The invention relates to a multi-physics field coupling method for a smelting process of a ferronickel heating furnace, and relates to the multi-physics field coupling method for the ferronickel heating furnace, the method comprises the following steps: establishing a ferronickel heating model, importing the ferronickel heating model into ICEM software for grid division, and finally importing a grid into FLUENT; according to the method, based on a Maxwell's equation and an Ohm's law, an electrothermal conversion algorithm, an electromagnetic induction algorithm and a multiphase heat transfer and mass transfer algorithm are compiled in combination with a user-defined function (UDF), so that a mathematical analysis model for mutual coupling of multiple physical fields, multiphase flows and furnace body thermal stress in smelting of the submerged arc furnace is established. The model is combined with a radiation model, a turbulence model, a multi-phase flow model and a static structure model, a heat and mass transfer mechanism among an electric arc, a molten pool and a furnace body is disclosed, an influence mechanism of a furnace body structure and a multi-physical field on furnace body temperature distribution is explored, and an action mechanism between the furnace body temperature and thermal stress is clarified, so that the deformation position and deformation amount of the furnace body are predicted.

The invention discloses a portable urban thermal environment intelligent sensing method and equipment based on AR, and the method comprises the steps: collecting a panoramic RGB street scene image of a user visual angle through AR glasses, and synchronously obtaining the time, geographic position and meteorological parameters; mapping the RGB image and the environmental parameters into a panoramic infrared thermal image by using a generative adversarial network, and obtaining the radiation temperature of each pixel; projecting the panoramic heat map to a unit spherical surface taking a user as a center, calculating a long-wave radiation flux through spherical surface angle integration, and calculating a short-wave radiation flux based on a solar radiation model by combining a solar elevation angle and the like; and fusing the total radiation amount to calculate the average radiation temperature, and finally superposing the heat map and / or the average radiation temperature to a real or virtual environment through AR glasses or an intelligent terminal to realize spatialization thermal load visualization.

The invention provides a grounding coplanar waveguide to coaxial interconnection structure radiation field analytical model construction method, and belongs to the technical field of system packaging, and the method comprises the steps: according to the structure of the upper half plane of a grounding coplanar waveguide and the characteristics that the current of the upper half plane and the current of the lower half plane are equal in amplitude and reverse in direction; obtaining an electric field model, a magnetic field model and a directional diagram model of the grounding coplanar waveguide far region radiation field; regarding the similar axes as a plurality of antenna arrays, and obtaining an electric field model, a magnetic field model and a directional diagram of a similar axis far-region radiation field; and superposing the electric field model, the magnetic field model and the directional diagram of the variable grounding coplanar waveguide and the quasi-coaxial far region radiation field to obtain a grounding coplanar waveguide-to-quasi-coaxial radiation analysis model. The invention aims to solve the problem that a radiation model of a grounding coplanar waveguide-to-similar coaxial interconnection structure does not exist when the electromagnetic radiation characteristic between interconnection lines of a high-density packaging body is researched at present.

The invention relates to a photovoltaic inclination angle optimization method and device for a tea-light complementary project and a storage medium, and the method comprises the steps: S1, obtaining construction parameters of a tea garden photovoltaic array and meteorological parameters of a construction site, and building a photovoltaic array power generation amount model and a photovoltaic array radiation amount model; s2, based on a photovoltaic array power generation amount model, obtaining a mapping relation of power generation income P1 with respect to a photovoltaic panel inclination angle; s3, based on the photovoltaic array radiation quantity model, obtaining a mapping relation of the radiation quantity with respect to the inclination angle of the photovoltaic panel; s4, based on the mapping relation of the radiation quantity with respect to the inclination angle of the photovoltaic panel, obtaining the mapping relation of the first characteristic value P2 with respect to the inclination angle of the photovoltaic panel; s5, superposing the power generation income and the inclination angle of the photovoltaic panel to serve as an optimization target P, and obtaining a mapping relation of the optimization target P with respect to the inclination angle of the photovoltaic panel; and S6, determining an optimal photovoltaic panel inclination angle. Compared with the prior art, the method has the advantages of improving the acquisition speed of the optimal dip angle of the photovoltaic panel and the like.

The invention discloses multi-angle scattering light field synchronous measurement, belongs to the technical field of optical measurement, and aims to solve the problems that a scattering light field measurement system cannot realize multi-angle scattering light field synchronous measurement and the test efficiency is low. The method comprises the steps of optimization design and simulation of an off-axis turn-back type optical system, calibration and calibration of a test system, scattered light field measurement analysis, conclusion analysis and the like. Technical support is provided for establishment of a complex earth surface multi-angle reflection / radiation model, multi-angle sensor radiation calibration and improvement of inversion precision of physical parameters of an observation target.

The invention relates to a curved-surface photovoltaic power prediction method and system, and belongs to the technical field of photovoltaic power prediction.The method comprises the steps that three-dimensional modeling is conducted on curved-surface photovoltaic power on the basis of installation parameters of a photovoltaic module to obtain a curved-surface photovoltaic model; fitting the total irradiance received by the curved surface photovoltaic model in a preset time period by using the solar radiation data; establishing a mapping model of the total irradiance received by the curved-surface photovoltaic and the actual output power of the curved-surface photovoltaic, and obtaining a curved-surface photovoltaic power output calculation model; and inputting the curved surface photovoltaic output power and the screened meteorological factors into a neural network for training to obtain a parameter optimal model, and completing prediction of the curved surface photovoltaic output power by using the model. According to the method, the curved surface photovoltaic and solar radiation models are modeled, so that the prediction model not only can better reflect the geometrical shape and the installation angle of the photovoltaic module in practical application, but also can more accurately calculate the radiation quantity received by the photovoltaic module, and the reliability of power prediction is improved.

The invention discloses a torch combustion monitoring and optimization control system based on multispectral infrared and visible light imaging, and the system comprises a multispectral imaging module which is used for synchronously collecting an infrared image and a visible light image of a torch flame, and carrying out the spatial registration, so as to obtain the multispectral radiation data of the flame; the physical model calculation module is used for calculating a first combustion state parameter according to the multispectral radiation data based on a Planck radiation formula and a grey body radiation model; the artificial intelligence calculation module is used for calculating a second combustion state parameter according to the multispectral radiation data by adopting a pre-trained multi-scale visual Transform network; the data fusion and correction module is used for fusing and correcting the first combustion state parameter and the second combustion state parameter by adopting a Kalman filtering algorithm so as to output a final combustion state parameter; and the closed-loop control module is used for dynamically adjusting the operation parameters of the torch according to the final combustion state parameters so as to optimize the combustion efficiency.

The invention discloses a lithium ion battery thermal runaway propagation modeling method coupled with a semi-empirical flame radiation model, and belongs to the technical field of battery thermal safety. According to the method, thermal runaway jet parameters of the battery are obtained, a single-point source method is adopted to calibrate flame radiation fractions, a solid flame radiation model with a cylinder and a cuboid combined is established, and a radiation heat source is coupled to a three-dimensional thermal runaway propagation model to solve temperature distribution. According to the method, the technical problem that a traditional method cannot give consideration to calculation efficiency and precision is solved, through innovative combination of special geometric simplification and a semi-empirical radiation model, the calculation efficiency is remarkably improved while the model precision is guaranteed, and an efficient and reliable simulation tool is provided for thermal safety design of the lithium ion battery module.

The invention discloses a method for acquiring optimal measurement conditions of building room temperature monitoring. According to the method, a discrete coordinate radiation model is set, a sun tracking function is started at the same time, and wall mixed thermal boundary conditions are considered. Factors influencing the accuracy and stability of room temperature monitoring, such as temperature measurement distance, time, sunshade condition, temperature measurement position, weather condition, window opening and closing, outdoor temperature and room characteristic factors, are explored, so that the influence rule of different factors on the room temperature monitoring of the building is provided. According to the method, accurate modeling is performed according to thermodynamic behaviors in a complex building environment, and complex factors, including thermal conductivity of building materials, indoor air flow and heat source distribution, suffered by the room temperature of a building are considered; under different environmental conditions, dynamic characteristics of a building room temperature change rule are considered, a monitoring scheme is dynamically adjusted based on real-time simulation data to obtain an optimal measurement condition, and the complexity of the system is reduced in a real-time feedback process.

The present invention provides an electromagnetic interference prediction modeling, prediction method and system, including: establishing a key cable harness model; establishing a grounding system model of a traction transformer and a traction motor; establishing an equivalent model of a traction motor based on the fact that when the frequency is high, the internal structure of the traction transformer and the traction motor will form a common mode path due to parasitic capacitance, and the conductor carrying a high-frequency common mode current will generate undesirable electromagnetic radiation; establishing a three-dimensional model of a car body, a rail and an axle counter magnetic head; connecting the above models according to the relationship between the corresponding entities of the model, and establishing an overall radiation model of the interference of the traction converter system to the axle counter. The model can more accurately describe the impact of the EMC interference generated by the traction power supply system of an intercity train on the axle counter.

The application discloses a new use of Leonurine or a pharmaceutically acceptable salt thereof in the preparation of a medicament for treating radiation-induced brain injury, specifically, providing a safe and effective therapeutic drug for iron death, neuroinflammation, neuron damage and lipid metabolism disorder accompanying the radiation-induced brain injury, solving the technical problem of lack of specific treatment means in the prior art, and having a wide clinical application prospect. Experiments adopt a C57BL / c mouse 30 Gy whole brain X-ray radiation model, and results show that Leonurine can significantly improve the body weight decrease and survival rate of the model mice, reduce the serum IL-6 and IFN-alpha levels, inhibit the activation of microglial cells in the cerebral cortex and hippocampus, protect and repair damaged neurons, and improve the ultrastructure of mitochondria and synapses; meanwhile, the expression of GPX4 and SLC7A11 proteins in the brain tissue is up-regulated, the GSH content is increased to inhibit iron death, and the levels of GPE, GPS and GPC related to lipid metabolism are restored.

The invention discloses a ship stern bearing interference press-fitting quality prediction method considering complex meteorological conditions. The method comprises the following steps: constructing a full-size multi-physical field simulation model; establishing a fluid calculation environment considering solar radiation; loading temperature field data for structural calculation; simulating a nonlinear contact interference press-fitting process; the press fitting curve, the press fitting contact area, the energy consumption in the press fitting process and the cylindricity error of the stern bearing after press fitting are used as evaluation indexes, and the press fitting failure risk is subjected to multi-dimensional quantitative evaluation. According to the method, the variable characteristics of the real environment temperature and the wind speed serve as the time-varying boundary conditions to be dynamically applied to the model, and quantitative evaluation of the dynamic change of the wind speed on the press-fitting quality is achieved; a solar radiation model and a DO radiation model are set in fluid calculation to realize accurate loading of non-uniform radiation heat flow, so that temperature field distribution of the stern shaft tube is accurately predicted; by constructing a multi-dimensional quantitative evaluation system, various failure risks in the press-fitting process are comprehensively identified.

The invention belongs to the technical field of digital urban and rural and built-up environment simulation, and provides a method for constructing and analyzing a regional urban and rural built-up environment by fusing multi-source data, and the method comprises the steps: obtaining a plane grid base map based on a selected region, and vectorizing the plane grid base map to obtain a two-dimensional building vector diagram; calculating and obtaining a building height base map based on DEM and DSM data, and establishing a three-dimensional building model by using the two-dimensional building vector diagram and the building height base map; a three-dimensional terrain model is obtained based on DEM data, and the three-dimensional building model and the three-dimensional terrain model are combined to form a built environment digital twinborn model of the selected area; and carrying out multi-physics field simulation analysis on the built environment digital twinborn model, realizing multi-physics field coupling simulation by combining a turbulence model, a radiation model and the like, analyzing a simulation result, and displaying analysis data in a visual form. According to the method, multi-source data are efficiently fused, the spatial scale of regional large-scale simulation research is expanded, and multi-physics field coupling analysis and quantitative analysis of a built environment are realized.

The embodiment of the invention provides a method and device for obtaining thermodynamic characteristics of a fan tower based on COMSOL, and relates to the technical field of data processing, and the method specifically comprises the steps: constructing a three-dimensional transient model set for the fan tower based on COMSOL; the three-dimensional transient model set comprises a solid heat transfer model, a solid mechanical model and a surface-to-surface radiation model; acquiring a simulation parameter set; according to the simulation parameter set, constructing a target geometric model corresponding to the wind turbine generator tower; determining an initial value and a boundary condition corresponding to each model in the three-dimensional transient model set; and after grid division is carried out on the target geometric model, solving calculation is carried out on each model in combination with a material attribute parameter set, an environment parameter set and the initial value and the boundary condition corresponding to each model so as to obtain the temperature, the stress and the strain of each node corresponding to each grid. According to the invention, the tower drum under sunlight can be simulated, and thermodynamic characteristics can be obtained.

The invention particularly relates to a method for calculating non-equilibrium shock wave layer infrared spectrum radiation based on an NO vibration excited state collision-radiation model. The method comprises the following steps: constructing an NO infrared vibration excited state collision-radiation model; extracting flow field data along a certain specific direction, inputting the flow field data into the NO infrared vibration excited state collision-radiation model, and calculating NO vibration excited state particle number density; calculating each vibration state absorption coefficient of NO based on the NO vibration excited state particle number density; and calculating the absorptivity in any layer on the detection path based on each vibration state absorption coefficient in combination with an apparent ray method, and calculating the NO infrared spectrum radiance based on the absorptivity. The method solves the problems that the spectral radiation calculation precision in hypersonic thermodynamics and chemical unbalanced flow is not high, the unbalanced state is not considered in the calculation, and the excited state particle number density adopted in the calculation of the infrared spectral radiation of NO is inaccurate.

The invention belongs to the technical field of antennas and microwaves, and discloses an electromagnetic compatibility simulation method for an electrically large carrier platform array antenna and a medium. According to the method, the FEM-UTD hybrid algorithm is adopted, the far-field directional diagram of the complex-structure antenna is calculated and extracted by using the FEM method, the array antenna equivalent radiation model is accurately established according to the actual position, arrangement, phase and the like of the array antenna by using the extracted far-field directional diagram according to the far-field equivalence principle, and the array antenna equivalent radiation model is used as an array antenna excitation source. And electromagnetic compatibility simulation of the electrically large-size carrier platform array antenna is realized by using a UTD algorithm. On the premise that the precision is guaranteed, the hardware limitation of a full-wave algorithm on the electrically large size problem is broken through, meanwhile, the defects of a pure UTD algorithm on antenna modeling are overcome, and the balance of electromagnetic compatibility simulation among precision, efficiency and cost is achieved.

The application relates to the technical field of antenna array design, and provides a concentric circular array antenna design method based on hybrid DE-GA collaborative evolution, which comprises the following steps: S1, constructing a topological-geometric coupled concentric circular array radiation model; S2, constructing a hybrid coding chromosome and initializing a population; S3, based on the concentric circular array radiation model, performing a hybrid DE-GA collaborative evolution method on the hybrid coding chromosome in the initialized population; S4, calculating fitness and updating a global optimal solution; S5, judging whether a termination condition is met; if the maximum iteration number or error precision requirement is reached, outputting an optimal array element arrangement sequence and a circular ring radius sequence; otherwise, returning to step S3 and continuing iteration. The improved genetic algorithm and the improved differential evolution algorithm are used for collaborative evolution of discrete sparse variables and continuous radius variables respectively, so that global optimal matching of array topology and geometric structure is realized simultaneously in a single optimization process.

The invention discloses a phase-free electromagnetic source inversion positioning method and device based on adaptive sparse sampling, and the method comprises the steps: determining the position of an adaptive sparse sampling point for a to-be-measured electromagnetic source on a near-field scanning plane, so as to obtain the near-field distribution data of the corresponding sparse sampling point; recovering the near-field distribution data into uniform distribution data through an interpolation method, and extracting amplitude information to obtain phase-free data; establishing a forward radiation model of the equivalent electromagnetic source according to the electromagnetic field integral equation model and the mirror image effect, and constructing a corresponding error minimization objective function based on the phase-free data and the forward radiation model; performing iterative optimization on the phase-error-free minimization objective function by using an LM algorithm so as to perform inversion on the electromagnetic source to be measured to obtain equivalent magnetic current source distribution; and reconstructing a magnetic field according to equivalent magnetic current source distribution obtained by electromagnetic source inversion. According to the scheme, efficient reconstruction of the near-field radiation characteristics of the radio frequency circuit can be realized while the number of sampling points is reduced and the inversion precision is ensured.

The problems that when the flight speed of an unmanned aerial vehicle is optimized in the prior art, noise and vibration influences are ignored, so that the robustness of the flight speed in a real and complex environment is insufficient, and an existing noise and vibration control method may cause that noise or vibration exceeds the standard under a local working condition are solved. The invention provides an unmanned aerial vehicle maximum flight speed and flight time calculation method and a flight control method. According to the method, factors such as noise intensity and vibration acceleration are fully integrated, an acoustic radiation model and a vibration influence model are respectively established, the two models are used for solving an acoustic limiting speed and a vibration limiting speed, and a small value is selected as the maximum flight speed of the unmanned aerial vehicle. And calculating the actual maximum flight speed of the unmanned aerial vehicle by combining the wind speed and the wind angle of the unmanned aerial vehicle operation area. When the unmanned aerial vehicle flies at the actual maximum flight speed obtained through the method, the flight stability can be kept, the working efficiency can be guaranteed, noise and vibration generated by flight can be prevented from exceeding the standard, and the adverse effect of the noise and vibration on the performance of the unmanned aerial vehicle is avoided.

The application relates to a judgment method and device for DC arc resistance of an arc extinguishing chamber and a computer device. The method comprises the following steps: building an arc burning working condition simulation environment of the arc extinguishing chamber in a pre-constructed high-speed switch geometric model, calculating a gas flow field in the arc extinguishing chamber based on a real gas model of an arc magnetic fluid model, calculating distribution structures of multiple physical fields of the arc extinguishing chamber in a preset time under the arc burning working condition based on a gas flow field control equation group, a turbulence model and the gas flow field in the arc magnetic fluid model, calculating an ablation mass of the arc extinguishing chamber in the preset time under the arc burning working condition based on a radiation model and an ablation model in the arc magnetic fluid model, and evaluating the resistance characteristics of the arc extinguishing chamber based on the distribution structures of the multiple physical fields and the ablation mass of the arc extinguishing chamber in the preset time in the arc burning process. The evaluation of the long-time DC arc resistance performance of the arc extinguishing chamber can be realized based on the distribution structures of the multiple physical fields and the ablation mass of the arc extinguishing chamber in the preset time.

This invention relates to the field of solar photovoltaic power generation technology and discloses an adaptive angle adjustment method for solar cell modules, comprising the following steps: acquiring average wind speed and original pitch angle signals; performing frequency domain decoupling on the original pitch angle signals; calculating the high-frequency energy integral, low-frequency energy integral, and energy ratio parameter; calculating the actual diffuse reflectance by combining the average wind speed and the high-frequency energy integral; constructing a theoretical radiation model to obtain the optimal target tilt angle; extracting the radiation sensitivity gradient; calculating the tracking error between the actual tilt angle and the optimal target tilt angle; determining the actual dead zone by combining the energy ratio parameter and the radiation sensitivity gradient; and outputting control commands or drive commands based on the relationship between the absolute value of the error, the actual dead zone, and the high and low frequency energy integrals. This invention reduces mechanical wear by dynamically filtering out high-frequency wave disturbances through a dead zone and precisely optimizes the reflectance using high-frequency energy correction to improve power generation, achieving a balance between mechanical loss reduction and power generation benefits.

The invention discloses a finite box rectangular horn shape optimization method and system based on a hybrid model, and the method comprises the steps: carrying out the geometric discretization of a rectangular horn in the axial direction into rectangular pipeline sections which are connected end to end, and determining a to-be-optimized design variable; pre-calculating a radiation impedance matrix and a far-field directivity primary function vector under a finite box body by adopting an external radiation model; calculating an inlet impedance matrix and a speed transmission matrix of each rectangular pipeline section on the basis of a radiation impedance matrix and a current design variable by adopting a sound transmission model in the horn, obtaining a mouth output speed vector, and solving an acoustic performance index in combination with a far-field directivity primary function vector; and constructing a comprehensive objective function, and solving to obtain a finite box rectangular horn shape optimization scheme. According to the method, the edge diffraction and sound reflection effect in a limited box environment can be accurately simulated, and the radiation efficiency optimization and directivity control of the broadband of the rectangular horn are realized while the calculation cost is remarkably reduced.

The invention relates to an ultrasonic hollow plane array focusing method based on pseudo-inverse matrix solution, and belongs to the technical field of man-machine interaction and virtual reality. Based on a sound pressure radiation model of a circular piston, sound pressure distribution characteristics generated by a single emitter in a sound field are established, a mathematical relationship between the total sound field sound pressure of the whole array and excitation amplitudes of all the emitters is derived on the basis, and an ideal sound field distribution target is set, so that the sound field of the array is obtained. And inversely solving the optimal amplitude configuration of each transmitter by adopting a pseudo-inverse matrix algorithm so as to control the sound field. The method is used for solving the problems that focusing energy is dispersed and the focus shape tends to be oval due to the fact that the side lobe is too large during single-point focusing of the hollow plane ultrasonic array, the side lobe level is remarkably restrained, the focus energy concentration ratio and shape regularity are improved, and the focusing performance of the hollow plane array is effectively improved.