9 results about "Diffusion equation" patented technology

The application provides a geochemical exploration anomaly ore-bearing property evaluation method and device, obtains geochemical exploration information of a target anomaly region to be evaluated in ore-bearing property, obtains reconstruction concentration information of a chemical element at each sampling point according to the geochemical exploration information and a trained physical information neural network model, wherein the trained physical information neural network model comprises a physical simulation layer embedded with a fractional order reaction-diffusion equation; and then the target anomaly region is evaluated in ore-bearing property according to original concentration information and the reconstruction concentration information of the chemical element at each sampling point. The fractional order reaction-diffusion equation describing the ore-forming geochemical process is learned and simulated through the physical information neural network model, so that the reconstruction concentration information is more in line with the ore-forming regularity, and field verification or drilling is performed when the ore-bearing property evaluation grade of the target anomaly region is high, thereby reducing the exploration cost.

The application relates to the field of building information model application technology and engineering project management technology, and discloses a building engineering progress intelligent prediction system based on BIM, which firstly analyzes BIM and progress data, constructs a semantic constraint topological graph containing logical dependence and spatial proximity relationship, then discretizes the building space, constructs an anisotropic diffusion tensor based on component semantics, realizes physical tensorization of geometric constraints, on the basis of which, the system performs multi-physical field coupling calculation, solves the distribution of material flow resistance coefficient field and risk field by using a potential field method and a diffusion equation respectively, finally, the environmental resistance factor in the process operation space is calculated to correct the process prediction duration, and iterative control is performed based on a field-graph closed loop feedback mechanism. The application can quantize the spatial congestion effect and risk non-uniform conduction under a complex building environment, solves the problem of logical plan and physical constraint separation, and significantly improves the accuracy of construction progress prediction.

This invention relates to the field of electronic digital data processing technology and discloses a method for generating structural parameters of a static mixer. The method includes: selecting the inclination angle of the crossbars and the aspect ratio of the mixer as structural parameters to be optimized, with the optimization objectives being minimizing the relative standard deviation of the concentrations of each component at the outlet section and minimizing the pressure drop; constructing a three-dimensional geometric model of the static mixer based on the structural parameters and setting the inlet and outlet positions; solving the flow field based on the Navier-Stokes equations and the continuity equation, and solving the concentration field of each component based on the convection-diffusion equation; obtaining the concentration distribution and pressure drop data of each component at the mixer outlet section under different structural parameters through multiphysics simulation, and calculating the relative standard deviation of each component concentration; screening structural parameter combinations with relative standard deviations less than a threshold, and selecting the one with the smallest pressure drop as the optimal structural parameter. This method solves the problems of reliance on trial and error and long cycles, achieving the goals of high accuracy, high efficiency, and low cost.

The application provides a condensate elimination method and system based on a diffusion equation, which comprises the following steps: collecting temperature, humidity, air flow rate, object surface temperature data and air pressure of each position in a target environment in real time; constructing a three-dimensional water vapor diffusion model of the target environment; solving the three-dimensional water vapor diffusion model of the target environment to obtain the space-time concentration distribution of water vapor in the target environment; predicting the condensate generation position and the condensate generation amount based on the space-time concentration distribution and the object surface temperature data; generating a dehumidification strategy based on the condensate generation position and the condensate generation amount, and then eliminating the condensate according to the dehumidification strategy. The technical scheme provided by the application realizes the predictive, accurate and collaborative elimination of the condensate, significantly improves the dehumidification efficiency, and maximally reduces the invalid operation of the dehumidifier, thereby achieving the ultimate purpose of energy saving and consumption reduction.

The application provides a kind of GIL loss fast calculation method considering electromagnetic space distribution, relate to high voltage gas insulated transmission technology field, solve the problem that existing GIL loss calculation method is difficult to consider physical rigor and calculation efficiency.The method, the coaxial hollow cylindrical structure electromagnetic field model of GIL is established, and then the diffusion equation of time-harmonic electromagnetic field is constructed and the boundary condition is set;Solving time adopts the linear combination of first kind Bessel function and second kind Bessel function as the general solution form, determines the undetermined coefficient, obtains the magnetic field intensity and electric field intensity distribution expression in the conductor region and shell region;Finally, based on the Poynting theorem, the analytical expression of unit length conductor ohmic loss and shell eddy current loss is calculated and derived, and the conductivity parameter is embedded in the form of explicit function of temperature, that is, the GIL loss calculation is completed.The calculation realized by the application can provide a clear, differentiable and traceable heat source coupling interface for the heat network model.

This invention discloses a numerical simulation method and apparatus for Microcystis blooms coupled with multiple hydrodynamic effects, comprising the following steps: S1, collecting basic data required for constructing a Microcystis bloom model; S2, establishing a fluid dynamics model based on a preset turbulence model, and solving the fluid dynamics model based on preset boundary conditions; S3, constructing a Microcystis dynamics model based on the response relationship between hydrodynamic elements and Microcystis population migration, buoyancy transport, growth, death, population size, and cell density, with governing equations including convection-diffusion equations, Microcystis vertical migration equations, Microcystis growth rate equations, Microcystis death rate equations, population diameter dynamic equations, and cell density dynamic equations; S4, coupling the fluid dynamics model and the Microcystis dynamics model, and obtaining the simulated concentration distribution results of Microcystis through parameter calibration and verification; This invention can fully reflect the key role of hydrodynamic elements in the bloom process, providing reliable support for bloom prediction and forecasting.

A multi-time-layer differential scheme for implicit heat transfer calculation using moving particles is presented, with the following specific steps: 1. Before calculation, virtual particles are arranged at the boundary to implement boundary layout, using virtual particles to arrange the first, second, and third types of boundaries for heat transfer calculation, as well as symmetric and periodic geometric boundary conditions; 2. During heat transfer calculation, the physical and mathematical relationships between different particles are given according to the input boundary conditions; 3. The distances between particle i and its neighboring particle j from the boundary surface formed by the boundary particles are calculated, and boundary conditions are applied; 4. The particle properties are given according to the initial input temperature, and the calculation time step length is given according to the stability condition; 5. The coefficient matrix and source terms of the multi-time-layer scheme of the heat diffusion equations are combined to solve the energy equation for temperature; 6. A consistent solution is performed using relevant solving algorithms to solve for the next temperature and determine whether convergence has occurred; 7. After all MPS calculations for a single time step are completed, the next time step is initiated.

This invention belongs to the field of gas-sensitive material development technology, and discloses a machine learning-based reverse design method, system, and device for gas-sensitive materials. The reverse design method for gas-sensitive materials includes the following steps: S1, constructing a target dataset; S2, based on the target dataset, constructing and training a physical information neural network model coupled with multi-physics partial differential equations; the multi-physics partial differential equations include at least one of the following: multi-component competitive Langmuir adsorption kinetics equation, Fick diffusion equation, Poisson charge equation, and Drift-Diffusion carrier model; S3, using the trained neural network model, with the target sensing performance as input, to obtain the corresponding target material configuration. The design method provided by this invention can significantly improve the screening accuracy and speed of gas-sensitive materials and is suitable for engineering applications.

The application discloses a kind of permanent magnet shielding motor mathematical model construction methods considering magnetic field lag phase angle, belong to permanent magnet shielding motor control field;By analyzing shielding sleeve eddy current effect, shielding sleeve is approximated as infinite flat structure, lag angle analytical calculation formula after magnetic field passes through shielding sleeve is derived using electromagnetic field diffusion equation;The lag angle is introduced into permanent magnet flux linkage term and is corrected, and the dq axis voltage equation considering lag effect is established.The application quantitatively describes the relationship between shielding sleeve eddy current effect and magnetic field phase lag by deducing the analytical expression of magnetic field lag angle, so that the mathematical model more accurately reflects the actual electromagnetic characteristics of shielding motor, and realizes the accurate decoupling of dq axis current.In actual application, the angle compensation is introduced in the coordinate transformation link of vector control system, the transformation angle is corrected as the difference between rotor position angle and lag angle, which improves the current utilization rate and reduces the motor loss, thereby improving the overall efficiency of motor control system.