114 results about "Charge density" patented technology

The invention provides a tunnel blasting scheme determining method and device, and relates to the technical field of tunnel engineering data processing.The method compensates stress wave attenuation caused by large-aperture blast hole air gaps through radial explosive density gradient design, so that the energy utilization rate is higher; the axial charge density is dynamically adjusted on the basis of a three-dimensional clamping coefficient, the problem that energy of a hole bottom high constraint area is insufficient is solved, the explosive density and the hole net topology are collaboratively optimized, the contour forming quality is greatly improved, back break is reduced, and therefore the cost is reduced, and the time is shortened. Due to the fact that explosive and hole net parameters are optimized, energy distribution is more reasonable, blasting disturbance is reduced, stability of surrounding rock is enhanced, safety in a hole is greatly improved, and casualties are reduced.

The invention belongs to the field of electromagnetic particle simulation, and relates to a vacuum confluence region electromagnetic particle simulation method, system, equipment and medium, and the method comprises the following steps: S1, constructing a particle simulation domain of an electric field and a magnetic field of a vacuum confluence region, injecting particles into the particle simulation domain, and carrying out the regional decomposition of the particle simulation domain to obtain a plurality of sub-domains; s2, acquiring charge density and current density of grid points in each sub-domain; discretizing a Maxwell equation set into a form of a Cx = D equation, substituting the charge density and the current density of the grid points in each sub-domain into the Cx = D equation, and solving the Cx = D equation by adopting a GMRES algorithm to obtain potential and vector magnetic potential distribution in each sub-domain; s3, the electric field intensity and the magnetic induction intensity of the grid points in each sub-domain are solved, the electric field and the magnetic field borne by the particles are obtained, and therefore the positions of the particles in the next time step in each sub-domain are determined; and S4, updating the electric field and the magnetic field borne by the particles in each sub-domain in the next time step.

The invention discloses a VASP-based metal surface adsorption energy differential charge analysis method and system, and relates to the technical field of metal surface adsorption energy differential charge analysis, and the method comprises the steps: carrying out the modeling and standardization processing of a metal surface-adsorbate system, and obtaining a standard data set; training the standard data set by adopting a deep neural network model to obtain a prediction model, inputting the standard data set into the prediction model, and outputting a prediction result; dynamically adjusting VASP calculation parameters by adopting an environmental effect correction method, and generating a VASP input file based on a prediction result and an actual operation condition; performing high-precision energy and electron density calculation on the input file by adopting a first principle calculation tool VASP to obtain electron density distribution; performing differential operation on the electron density distribution to obtain a differential charge density map; and performing three-dimensional rendering on the differential charge density map by adopting a visual analysis tool to obtain a visual analysis result.

The invention belongs to the technical field of electrical performance research of insulating materials, and relates to a creeping discharge surface charge high-precision measurement method, system and equipment and a medium. According to the method, basic data are provided for subsequent analysis by obtaining the creeping discharge path image, the potential scanning result and the dust diagram distribution characteristic of the insulating material; performing inversion calculation on a potential scanning result according to the shape of the insulating material in combination with a corresponding inversion algorithm to obtain a surface charge distribution characteristic; according to the surface discharge path image, the surface charge distribution characteristic and the dust diagram distribution characteristic, the characteristics of the stream-pilot channel in the surface discharge process are obtained, the charge distribution and space distribution characteristics of the high-precision stream-pilot discharge channel of the stream can be obtained, and the charge density in the stream-pilot channel can be quantitatively distinguished. In addition, the microcosmic physical process in the discharge process can be obtained more finely, and the microcosmic physical process comprises reverse discharge, charge neutralization in a plasma channel and an electron collapse generation process around a streamer channel.

A method and corresponding devices to reduce the presence of unwanted ions within the pseudo-potential well of the RF fields for inductively coupled plasma mass spectrometry is disclosed. This method reduces space-charge effects and leaves more room available for the ions of interest and, hence, leads to increased transmission of the desired ions into the mass analyzer. In the present invention, the space charge is reduced by adding a low-band resolving DC potential, or a fast sweeping resolving DC potential with a notch, or a fast constant resolving DC potential with a notch, or by adding auxiliary quadrupolar or dipolar RF potential to the quadrupole ion guide, such that all the unwanted ions will be outside the stable region and therefore ejected. This reduces the charge density in the ion beam and ameliorate space charge effects.

The invention belongs to the field of nano energy, and provides a surface charge density prediction method of a friction nano generator based on a modified chitosan material, and the method comprises the following steps: S1, preparing modified chitosan; s2, carrying out triboelectric polarity test and quantitative characterization on the modified chitosan; S3, obtaining surface potential energy and saturated charge density of the modified chitosan and the pairing material; and S4, constructing a surface charge density prediction model of the friction nano-generator based on the modified chitosan material. According to the modification degree of the modified chitosan material, the surface charge density of the friction nano-generator based on the modified chitosan material can be directly obtained, and a solid theoretical basis is provided for subsequent deep exploration of application of chitosan in the triboelectricity field.

The invention relates to the technical field of partial discharge processing, and discloses a partial discharge processing method and system based on electric field analysis, and the method comprises the steps: synchronously collecting the multi-point electric field intensity and charge density of a device surface, recognizing a charge abnormal region, and calculating an electric field non-uniformity index; inputting the information into a finite element analysis model, simulating an electric field distortion process, and positioning potential discharge induction points; predicting a charge accumulation trend of each potential point in combination with historical operation data, and constructing an optimization function taking minimization of global electric field distortion and charge accumulation risk as a target according to the charge accumulation trend; and with the function as a convergence target, an optimal electric field compensation parameter is automatically solved through iterative calculation. According to the partial discharge processing method and system based on electric field analysis, predictive recognition and counteracting are carried out on discharge core inducements, and active and accurate suppression of partial discharge of equipment is achieved.

The invention relates to the technical field of monitoring modeling, in particular to an electrostatic precipitation smoke emission dynamic modeling method based on multi-parameter coupling analysis, which comprises the following steps: calculating electric field rate and acceleration through sliding window difference, judging electric field abrupt change trigger parameter adjustment, normalizing particle size and charge density, and mapping disturbance intensity index. And calculating response delay and a gradient field to generate a disturbance coefficient, transferring a model weight when the disturbance exceeds a threshold value, performing fitting reconstruction, and performing regression weight reverse normalization to output a steady-state parameter group. According to the method, electric field dynamic characteristics are captured through equal-interval sampling in combination with a sliding window, an acceleration super-threshold model is constructed through second-order difference, a dynamic adjustment mechanism is triggered, particle size and charge density are normalized, disturbance intensity is mapped through linear interpolation, speed and density abrupt change are quantized through gradient weighting, and weight transfer and a least square method are introduced to reconstruct parameters. The transient analysis capability and robustness of the model are improved, and high-precision synchronous mapping of the emission trend and the equipment state is realized.

The low-pressure ionization chamber comprises a closed chamber, a low-pressure environment lower than the standard atmospheric pressure is formed in the closed chamber, and an electrode plate assembly is arranged in the closed chamber to collect electron-ion pairs in the closed chamber in the low-pressure environment; by arranging the negative-pressure closed chamber, the air density is reduced under the condition of low air pressure, so that the number of gas molecules in unit volume is reduced, the total number of charges generated by radiation ionization of a gas medium is reduced, and then the charge density and the ion recombination probability are reduced, so that the saturation characteristic of the ionization chamber is influenced.

The invention relates to the technical field of nano materials, and provides a preparation method and application of a friction nano generator with high surface charge density. The invention aims to overcome the defects of low surface charge density, environmental influence, easy aging and the like in high-frequency mechanical energy collection of the existing friction nano-generator, and the application of the friction nano-generator in environmental mechanical energy collection is improved. The main scheme is as follows: 4, the preparation method comprises the following steps: dissolving 4, 4 '-diaminodiphenyl ether in N, N'-dimethylacetamide, adding diphenyl ether dianhydride into the solution to synthesize a polyamide acid solution, carrying out electrospinning and high-temperature treatment on the solution to obtain an imidized nanofiber membrane, treating the surface of the nanofiber membrane through a plasma sputtering instrument, selecting a fluorinated ethylene-propylene copolymer as an electric negative electrode material, and carrying out electrospinning and high-temperature treatment on the surface of the nanofiber membrane. And pasting an electrode and packaging to construct the friction nano generator. The invention is used in the fields of friction power generation, mechanical sensing and the like, and has the advantages of simple process, high preparation speed, high yield, low cost, good robustness, no environmental influence and high output performance.

The utility model belongs to the field of ionization electrodes for separating dispersed particles from gas by using an electrostatic effect, and particularly relates to a discharge electrode for an electrostatic trap and the electrostatic trap. The discharge electrode for the electrostatic trap comprises an electrode body, one end of the electrode body is provided with a fixing structure used for being fixed to an electrode fixing pipe of the electrostatic trap, the electrode body comprises a cylindrical discharge section used for discharging, the periphery of the cylindrical discharge section is provided with external threads, and threads of the external threads form a continuous discharge tip. The cylindrical structure can increase the wall thickness of the discharge electrode, so that the discharge electrode is not easy to wear or deform, the service life is prolonged, and meanwhile, the thread of the external thread can form a discharge tip, so that discharge occurs at the spiral end, the charge density is improved, and the electric field distribution is more uniform.

The application discloses a GIS insulator partial discharge charge on-line detection method and system, and relates to the technical field of charge detection.The method comprises the following steps: according to a GIS simulation model, simulating the electric field distribution of charge generation in the partial discharge process, determining the performance index of the required electric field sensing probe, and preparing the electric field sensing probe; according to an epoxy resin model, obtaining the charge density, the charge distribution range and the electric field signal collected by the electric field sensing probe under different voltage pulses, and constructing a test data set; according to the GIS simulation model, obtaining the electric field signal under different charge densities and different charge distribution radii, and constructing a training data set; training a neural network model according to the training data set, and correcting according to the test data set; and collecting the partial discharge electric field signal by using the electric field sensing probe array arranged on the outer wall of the GIS insulator, and obtaining the charge density and the charge distribution range on the surface of the insulator by using the neural network. Non-invasive and non-contact on-line measurement is realized.

The application provides a method for calculating interface polarization charge and current distribution based on reflection coefficient, and relates to the technical field of computational electromagnetics. The method comprises the following steps: establishing a reflection coefficient-dielectric parameter mapping, directly correlating the reflection characteristics of electromagnetic waves with the intrinsic parameters of the medium through a reflection coefficient formula, and laying a physical foundation for polarization analysis; interface electromagnetic field reconstruction, using boundary conditions and constitutive relations to determine the electric field distribution on both sides of the interface and the corresponding polarization intensity. The distribution rule of the electromagnetic field in the medium is determined, the macroscopic electric field is converted into the spatial description of the polarization intensity, and an intermediate variable is provided for charge and current calculation; polarization dynamic response quantification, through the spatial and temporal derivatives of the polarization intensity, the interface polarization charge density and the polarization current density are derived. The theoretical model is converted into actual physical quantities, and the dynamic response mechanism of charges and currents when electromagnetic waves interact with the medium is revealed.

A method and an apparatus for measuring an electrical property of a sample material are provided. In the method, an alternating voltage is applied to a piezoelectric ceramic so that a probe fixed on the piezoelectric ceramic vibrates above a surface of the sample material, a target contact potential difference between the probe and the sample material is measured, and a target amplitude of an induced alternating current generated due to the vibration of the probe above the surface of the sample material, a target work function of the surface of the sample material is determined according to the target contact potential difference and a determined work function of the probe, and a target charge density of the surface of the sample material is determined according to the target amplitude, the target contact potential difference, and a pre-stored target amplitude determination function for the induced alternating current.

The invention relates to a method for measuring the surface charge of a double-sided asymmetric basin-type insulator. The method comprises the following steps: S1, designing a coaxial electrode system matched with the basin-type insulator; s2, connecting the basin-type insulator and the coaxial electrode system with the experiment cavity; s3, charging the basin-type insulator; s4, acquiring potential data of concave and convex surfaces of the basin-type insulator; and S5, measuring the surface charge of the basin-type insulator. Based on an active probe theory, a three-axis displacement platform is built to control three-dimensional operation of a Kelvin probe, a rotating platform is designed to be used for constant-speed coaxial rotation of the basin-type insulator, and a three-dimensional motion track of the Kelvin probe suitable for surface scanning of the basin-type insulator of a double-sided asymmetric structure is designed. The surface potential data is converted into charge density data through inversion calculation, so that the surface charge of the basin-type insulator with the asymmetric surface can be quickly and accurately measured.

The present invention relates to the fields of chemistry and materials science, and discloses a visualization system for large-scale quantum chemistry, which calculates the energy information of each structure in the calculation system, and finds the minimum-energy structure in the system as the optimized structure by means of gradient descent, and displays the structures before and after optimization in the form of an atomic coordinate matrix for easy visualization; at the same time, it can also obtain information such as charge density, differential charge density tensor, difference tensor, etc. according to the energy information of the structure, and draw visual images by using these information.

The invention relates to a superlattice ferroelectric enhancement structure in a hafnium oxide-based film as well as a preparation method and application thereof, and aims to realize remarkable improvement of ferroelectric properties of a hafnium oxide-doped film by stabilizing a ferroelectric orthogonal phase. The superlattice structure of the doped hafnium oxide thin film comprises bottom electrode layers and doped hafnium oxide thin film layers, wherein the bottom electrode layers are sequentially arranged in the direction perpendicular to the substrate, and the doped hafnium oxide thin film layers are alternately stacked. The superlattice interface engineering prepared through the atomic layer deposition or magnetron sputtering technology can effectively inhibit generation of non-ferroelectric phases (such as a monoclinic phase and a tetragonal phase), so that ferroelectric remanent polarization is remarkably enhanced. According to the doped hafnium oxide thin film device based on the superlattice structure, the voltage difference in the polarization inversion period can be enhanced, the state distinguishing in the reading operation period can be improved, the reading error rate can be reduced, the charge density stored in the unit area can be increased, the device size can be reduced, and the device performance can be improved. Therefore, the integration density and the storage density of the ferroelectric-based memory are improved.

The invention relates to a physical simulation model of a ferroelectric neuron circuit and a design method thereof, and the method comprises the steps: building the physical simulation model of the ferroelectric neuron circuit according to the corresponding relation between the polarization intensity of a ferroelectric layer in a ferroelectric field effect transistor and the voltage of the ferroelectric layer, the surface charge density of the ferroelectric layer, and the source voltage of the ferroelectric field effect transistor, and predicting the working state of the ferroelectric neuron circuit according to the physical simulation model. Meanwhile, a corresponding experimental design method is further developed according to the provided model. The physical simulation model combining the ferroelectric polarization flipping and the dynamic characteristics of the ferroelectric neuron circuit has very high physical reliability; the design method provided by the invention can guide the specific design of the experiment, significantly reduces the trial and error cost of the experiment manufacturing of the ferroelectric neuron circuit, and provides a physical basis for the further development of the ferroelectric neuron circuit in electronic design automation software.

The invention discloses a method for determining blasting parameters of a pre-splitting hole in pre-splitting blasting. The method comprises the steps that the blast hole diameter, the charge non-coupling coefficient, the charge density, the blast hole density coefficient and the blast hole length of the pre-splitting hole are determined; according to the blast hole diameter of the pre-splitting hole and the charge non-coupling coefficient, the charge diameter of the pre-splitting hole is obtained; according to the charging diameter and the charging density of the pre-split hole, the linear charging density of the pre-split hole is obtained; according to the linear charge density of the pre-splitting hole and the length of the blast hole, the single-hole charge amount of the pre-splitting hole is obtained; according to the single-hole explosive charge / linear charge density of the pre-split holes, the pitch of the pre-split holes is obtained based on the blast hole density coefficient and the pre-split blasting unit consumption; and the filling length and the charging structure of the pre-split holes are obtained according to the pitch of the pre-split holes. By means of the calculation method, the design threshold of presplitting hole parameters in presplitting blasting is lowered, and the blasting success rate of primary design (or one-time engineering) is remarkably increased.

Disclosed in the present invention are a particle accommodating device, and a particle contactless processing apparatus and a light sensing structure thereof. The particle accommodating device is used for accommodating a liquid specimen that contains a plurality of particles. The accommodating device comprises a light sensing structure and a mating structure spaced apart from the light sensing structure. The light sensing structure comprises a substrate, an electrode layer and a photoelectric layer which are formed on the substrate, and an insulator formed on the photoelectric layer. The insulator comprises a charge-type track protruding from the photoelectric layer. The photoelectric layer is operable to generate a plurality of charges that are concentrated on the charge-type track, so that the charge density of the charge-type track is greater than that of the outer surface of the photoelectric layer, and thus the charge-type track can position at least one of the particles thereon by electrostatic adsorption. Thus, the particles are moved and positioned by means of the electrostatic adsorption, thereby achieving precise positioning of the particles.

The application discloses a composite defect signal quantification detection method, relates to the technical field of industrial nondestructive testing, and is characterized in that: a defect space leakage magnetic field is established, a three-dimensional rectangular coordinate system is established based on a magnetic charge model, magnetic charge density corresponding to a magnetic charge unit segmented on a defect end face is established, the relationship between a ferromagnetic material and stress is determined, magnetic induction intensity and unit area corresponding to the magnetic charge unit segmented on the defect end face are established, total magnetic charge density, magnetic induction intensity and area of the defect end face are established, and then axial and radial components of a defect magnetic signal are solved. The application fully considers the influence of stress on defects of the ferromagnetic material, simulates and calculates signal characteristics of the magnetic signal of the ferromagnetic material under the action of different defect stresses, and provides a more comprehensive, efficient and stable detection method for defect evaluation of the ferromagnetic component by the leakage magnetic detection technology.

The invention discloses an implicit particle simulation analysis method for atmospheric pressure micro-scale arc discharge kinetic characteristics, and the method specifically comprises the steps: 1, carrying out the uniform grid division of a calculation region, and placing a plurality of charged simulation particles with initial positions and speeds in each grid; step 2, calculating charge density and current density on each grid node; 3, electric potential and electric field distribution on each grid node is calculated; 4, calculating the stress of the charged simulation particles and updating the coordinates and speed of the charged simulation particles; 5, calculating a new speed after collision based on a collision theory; and step 6, taking the updated coordinates and speed as the coordinates and speed in the step 2, and repeatedly executing the steps 2-6 in a time step until a set number of iterations is reached. According to the method, the problem that simulation time consumption is remarkably increased due to the fact that the space-time step length must be small enough to distinguish the Debye length and the oscillation period of electrons in the existing simulation technology is solved.

The invention discloses a charge density high-flux calculation and analysis method and device in a solid interface friction process, and relates to the technical field of material high-flux calculation, and the method comprises the steps: carrying out the automatic modeling based on modeling data, and obtaining a modeled file; creating an automatic submission folder based on the modeled file, and moving the modeled file to the automatic submission folder to complete an automatic submission task; according to the automatic submission folder, determining configuration energy and charge density of an interface center position; and fitting the configuration energy and the charge density at the center position of the interface, and outputting the charge density in the isobaric friction process. According to the method, automatic modeling, automatic calculation submitting, automatic system energy and charge density outputting, automatic data fitting and charge density outputting in the isobaric friction process are achieved, and the labor time consumed in the operation process for calculating charge density evolution in the friction process of the solid interface system is greatly saved.

The embodiment of the invention discloses a method for regulating and controlling Rashba spin splitting in a WSeTe single layer, and the method comprises the steps: selecting single-layer WSeTe, and carrying out the structure optimization; determining a net intrinsic electric field direction through charge density difference and work function calculation; on the basis of energy band calculation containing / not containing spin orbit coupling, gamma point spin splitting is observed; verifying the characteristics of Rashba splitting according to the spin texture graph, and analyzing the main contribution of Rashba splitting according to the energy band projection graph; applying in-plane biaxial strain to regulate and control the Rashba splitting strength; applying a vertical electric field to regulate and control the Rashba splitting strength; and meanwhile, strain and an electric field are applied to regulate and control the Rashba splitting strength. In-plane biaxial strain and vertical electric field independent regulation and control and common regulation and control are selected, and the regulation and control means of Rashba spin splitting are added. By adopting the technical scheme of the invention, more effective strain electric field control is expected to be realized by reasonably designing the material symmetry and the energy band structure.

The application discloses a method for quickly obtaining a steady-state space electric field of an insulation layer of a self-powered detector, and comprises the following steps: obtaining radiation field information and detector information at a position where a self-powered neutron detector is located, and simulating to obtain an electric charge deposition amount generated by irradiation current in different radius intervals per unit time of the detector; according to the law of conservation of electric charge, estimating an electric charge loss amount generated by conduction current in different radius intervals of an insulator per unit time under a steady-state condition; combining Ohm's law to establish an expression of the electric charge loss amount generated by the conduction current about an electric field intensity under the steady-state condition, and combining a boundary condition to obtain an electric field intensity distribution, an electric charge density distribution and a potential distribution. The application can effectively improve the calculation efficiency and realize efficient simulation of the sensitivity of the self-powered neutron detector.

The invention discloses a method and a system for calculating a three-dimensional synthetic electric field of a direct-current transmission project, and belongs to the technical field of high-voltage direct-current transmission. The method comprises the following steps: establishing a calculation model of a three-dimensional synthetic electric field of the direct-current power transmission project; initializing space charge density, solving a potential Poisson equation and a current continuity equation of the three-dimensional synthetic electric field of the direct-current power transmission project by utilizing a finite element method based on the calculation model and the initialized space charge density, and obtaining a solving result; judging whether the relative error of the solving result meets an error limit value or not, and if not, continuing to iteratively solve the potential Poisson equation and the current continuity equation; if yes, whether the Kaptzov hypothesis meets the preset condition or not is judged, if not, the surface charge density of the conductor is corrected, the potential Poisson equation and the current continuity equation continue to be iteratively solved, and if yes, iteration is terminated, and all calculation is finished. The method can be applied to calculation of any three-dimensional composite electric field in a direct-current transmission project.

The invention discloses an insulator sample internal charge transport simulation method and system based on a Nebula simulator, and the method comprises the steps: mapping a continuous or non-grid particle accumulation behavior into a charge density source item on a finite difference grid through a finite grid drift diffusion module after obtaining scattering simulation data of the Nebula simulator; then, a strong coupling iteration mechanism is used for simultaneously solving a Poisson equation and carrying out drift diffusion calculation in each micro time step so as to accurately and efficiently iteratively calculate the electric field evolution process in the insulator, and the charge density, the electric field and the dynamic evolution process in the insulator are fed back to a Nebula simulator; therefore, the technical problem that an existing Nebulla simulator neglects an internal electric field and cannot effectively describe the long-term accumulation and evolution process of charges in a material is solved, and the simulation precision of electron beam measurement and imaging is improved.

The invention provides a multi-field coupling simulation method and system for blasting permeation-increasing in-situ leaching mining of sandstone uranium ore. According to the method, blasting drilling space coordinates, charge density data and ore body in-situ permeability data of a deep sandstone uranium ore are obtained, charge density and permeability are superposed to a three-dimensional space grid, and a blasting energy permeation coupling map is generated. And based on a region with an energy gradient change rate exceeding a threshold value in the atlas, marking the region as a signal target acquisition region, acquiring an elastic wave signal, extracting position coordinates of a fracture event and a vibration energy value from the elastic wave signal, and generating multi-field coupling state data through field coupling association. And the position of a high-permeability channel formed after blasting is further identified, a leaching liquid flow control instruction is generated accordingly, and dynamic regulation and control of a leaching liquid flow path are achieved. According to the technical scheme provided by the invention, the efficiency and precision of multi-field coupling simulation can be improved.

This invention discloses a method for determining the surface charge density of micro / nano particles. The method first uses light scattering technology to determine the critical agglomeration concentration of micro / nano particles at a given electrolyte type and temperature. Then, under this concentration condition, the resultant force of electrostatic repulsion and long-range molecular attraction between particles is calculated, and the particle surface potential under this condition is determined. Finally, the surface charge density of the particles is obtained based on the obtained surface potential. This invention can accurately calculate the surface charge density of micro / nano particles by determining the critical agglomeration concentration using a laser scattering instrument, eliminating the need to separately measure the outer surface area of ​​the particles in a gaseous medium and the number of surface charges in a liquid medium before calculating the surface charge density.

The invention provides a method for calculating and predicting the self-recovery mechanoluminescence performance of a material based on a first principle. According to the method for calculating and predicting the self-recovery mechanoluminescence performance of the material based on the first principle, a luminescent material and an elastomer material monomer (such as PDMS) serve as objects, an interface model of the luminescent material and the elastomer material monomer (such as PDMS) is firstly constructed, charge density calculation is completed with the help of first principle calculation tools such as CP2K and VASP, then difference operation is conducted on charge density distribution, a difference charge density map is generated, and the self-recovery mechanoluminescence performance of the material is predicted. Then three-dimensional visual analysis is carried out through visual analysis tools such as VESTA and VMD, a result is obtained, and finally a target material meeting a preset screening condition is obtained through result evaluation. According to the method for calculating and predicting the self-restoring force luminescence performance of the material based on the first principle, efficient prediction of the self-restoring force luminescence performance of the material is achieved by combining first principle calculation and visual analysis, and the method has the advantages that complex experimental operation is not needed, the material screening period is greatly shortened, the prediction result is high in accuracy and the like; and an important theoretical support is provided for design and development of the self-recovery mechanoluminescent material.