71 results about "Charge density" patented technology

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 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.

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 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.

The invention discloses an in-source cracking controllable pulse direct-current arc induced nano-liter electrospray ionization source and mass spectrum combined system and a detection method. The system comprises a mass spectrum, a quartz capillary tube, a metal coil, a positive wire, a negative wire and a direct-current arc generator. The high charge density characteristic of pulse direct-current arc plasma and the solution polarization effect induced by a metal coil are combined to construct a dual-drive ionization system. Under low voltage, molecular ion integrity is maintained; under high voltage, the characteristic fragment ion strength is obviously enhanced, the compound structure information can be obtained without depending on tandem mass spectrometry, and the problems of time consumption and sample consumption of nanoliter electrospray ionization source analysis are effectively solved. The pulse direct-current arc provides high-density positive and negative charges, the metal coil strengthens directional migration of charged species to the tip of the capillary tube through potential difference, and ionization stability and efficiency are remarkably improved.

This application discloses an analytical method for electrolyte systems based on low-scaling Monte Carlo simulations of electrostatic interactions, relating to the field of molecular simulation technology. The method includes: constructing an initial model of the target system and configuring simulation parameters; initializing local electric displacement auxiliary field variables; using these variables to describe the local electric displacement state of the target system; randomly selecting and updating an object; the updated object being the particle configuration and / or the local electric displacement auxiliary field variables; determining the equivalent local electric field strength at the target spatial location after updating the object; updating the local dielectric constant at the target spatial location based on the equivalent local electric field strength; and after updating the local dielectric constant, determining the various electrostatic interaction energies in the target system and evaluating the total electrostatic energy. This method can accurately describe the complex electrostatic interactions between components caused by local electric fields, high charge density, and the dielectric response properties of the components while ensuring computational efficiency.

This invention discloses a method and system for obtaining the evolution of the space electric field in a self-sustaining neutron detector (SPND) insulating layer and calculating detector sensitivity, belonging to the field of neutron detection technology. The method includes: establishing a dynamic equation for charge density evolution; decomposing the total irradiation current density into a stable and time-varying component, and simulating the stable and time-varying current density distributions contributed by a single source particle under decay equilibrium conditions using the Monte Carlo method; obtaining an expression for the time-varying current density of the SPND, solving the dynamic equation for charge density evolution, and obtaining an analytical expression for charge density evolution; and based on the charge density distribution, obtaining the electric field intensity distribution through integration, and simulating the detector sensitivity. This method directly reveals the influence of detector parameters and neutron flux on the space electric field and its evolution, solving the problems of large computational load and long processing time in existing technologies, significantly improving computational efficiency, and thus achieving efficient simulation of the sensitivity of a self-sustaining neutron detector.

The application discloses a kind of analysis method and device of the surface of rotating fan blade multiple electric state coupling, method includes: obtaining the potential distribution data of the insulating sample surface of insulating sample after wind tunnel test with metal disc;Based on the potential distribution data, in combination with charge inversion algorithm, the charge density distribution of the insulating surface sample with metal disc is obtained;Based on the space electric field distribution model in simulation software, in combination with the charge density distribution obtained by inversion, the space electric field under steady state is calculated, and the space electric field distribution diagram of the insulating surface sample with metal disc is obtained.The application realizes the calculation of the charge distribution and space electric field distribution of the surface of rotating fan blade multiple electric state coupling by wind tunnel test, potential distribution measurement, charge inversion and space electric field distribution simulation, and analyzes the law of the surface of rotating fan blade multiple electric state coupling based on the calculation result.

The application discloses an implicit particle simulation analysis method for atmospheric pressure micro-scale arc discharge dynamics characteristics, and specifically comprises the following steps: step 1, uniformly dividing a calculation region into grids, and placing a plurality of charged simulation particles with initial positions and velocities in each grid; step 2, calculating charge density and current density on each grid node; step 3, calculating potential and electric field distribution on each grid node; step 4, calculating force on the charged simulation particles and updating coordinates and velocities of the charged simulation particles; step 5, calculating new velocities after collision based on collision theory; and step 6, taking the updated coordinates and velocities as the coordinates and velocities in step 2, and repeating steps 2-6 in a time step until a set iteration number is reached. The application solves the problem that in the prior art simulation technology, time and space steps must be small enough to distinguish Debye length and oscillation period of electrons, thereby significantly increasing simulation time.

The invention discloses a tunnel wind energy collection and wind speed identification system and method based on a Ti3SiC2 / PDMS composite film, and relates to the technical field of tunnel wind energy collection and wind speed monitoring. The material of the friction layer is improved, the high-friction-performance composite material is adopted, the charge density and abrasion resistance of the material are enhanced, the TENG structure is optimized, and the energy conversion efficiency of the TENG structure is improved; a self-energy-supply monitoring system is combined, more accurate wind speed monitoring is achieved through an algorithm, and the requirements for efficient utilization and continuous monitoring of tunnel wind energy are met; the technology provides a new solution for wind energy collection in a tunnel environment, and has a wide application prospect.

The application belongs to the technical field of equipment insulation influence evaluation considering streamer discharge, and provides a streamer discharge simulation modeling method, system, medium and equipment of charge behavior under complex working condition coupling, which is based on the theory of shearing separation of double electric layer, and an oil-paper-interface multi-region charge dynamic transport simulation model is established by coupling oil flow convection term, shearing term and temperature effect; based on the established transport simulation model, the whole evolution process of streamer discharge from diffusion, longitudinal evolution to transverse migration under the coupling of electric field, fluid field and thermal field is simulated by combining the charge injection and extraction boundary conditions at the electrode, the charge density distribution and electric field strength distribution data in the streamer evolution process are obtained; the streamer evolution law is analyzed based on the charge density distribution and electric field strength distribution data, so as to evaluate the oil-paper insulation state or optimize the oil-paper insulation structure. The coupling effects of electric field, fluid field and thermal field are comprehensively considered, and the actual operating condition of the converter transformer is more accurately simulated.

The present application relates to a kind of precision matching tunneling blast hole variable density charge design method, comprising the following steps: face three-dimensional scanning and preliminary blasting design, drilling construction and lithology parameter acquisition, charge density calculation parameter determination, charge segmentation and linear density calculation, variable density charge and initiation;Compared to the variable density charge technology in the prior art lacks the fine density matching of blast hole, leading to the demand mismatching of explosive energy release and rock breaking, exacerbating the vicious cycle of overbreak and underbreak, and the problem of poor blasting effect, the charge density calculation of the present application integrates overbreak and underbreak distribution data, blast hole type, rock firmness coefficient, blast hole geometric parameter, realizes the double density matching of hole difference + intra-hole segmentation, ensures that explosive energy release and rock breaking demand accurately match, significantly reduces the overbreak and underbreak incidence, and the blasting effect is better.

The invention discloses a multi-scale simulation analysis method for particle transport characteristics of a near-cathode region of an atmospheric pressure micro-scale argon arc, and the method specifically comprises the steps: taking a cathode and a near-cathode region as calculation regions, and carrying out the grid division of the calculation regions; calculating the charge density on the grid nodes; calculating the potential and the electric field intensity on each grid node; calculating coulomb force borne by the macro particles and updating the positions and the speeds of the macro particles after movement; counting the number of particles absorbed by the cathode according to the updated position; carrying out macro particle supplementation at the boundary according to the current density; carrying out macro particle collision, and updating the speed after collision; and iterating according to the set iteration times, counting each parameter of the macro particles, averaging, and taking as an output result. According to the method, the heat transfer effect between an external circuit and the cathode and the environment gas and between the cathode and charged particles is comprehensively considered, the heat dissipation process of the cathode flowing through radiation and towards the environment gas is quantitatively analyzed, and an accurate simulation result can be obtained.

The application discloses a 4D-STEM DPC electric field direction calibration method, and relates to the technical field of electron microscopy. The method comprises the following steps: obtaining original 4D-STEM data, generating an ADF image and calculating an electric field vector field; extracting a set of atomic column center positions from the ADF image; constructing a candidate set of discrete coordinate transformations, selecting an optimal flip transformation based on the radial consistency of the electric field near the atoms; performing a coarse-to-fine search on the rotation angle through a target function to determine an optimal rotation angle; eliminating the 180-degree direction ambiguity by calculating the sign of the weighted charge density indicator in the atomic neighborhood; and calibrating the original centroid shift field by applying the optimal flip transformation and the final rotation angle, and outputting the calibrated electric field, charge density and potential distribution. The application can automatically identify and correct the coordinate axis flip and mirror transformation, eliminate the 180-degree direction ambiguity, output the unique and correct electric field direction, and be suitable for the general 4D-STEM DPC analysis process.

The application discloses a dielectric barrier discharge plasma exciter model establishing method considering uncertainty, relates to the technical field of computational fluid dynamics, flow control and aeroacoustics, and comprises the following steps: firstly, time-averaged velocity fields under different excitation voltages are obtained through a static ion wind experiment, and volume force distribution and key evaluation indexes are inversed based on momentum balance; then, a parameterized linear plasma equivalent model is constructed, and charge density and an action region boundary are identified as uncertainty design variables; high-fidelity simulation and a proxy model are combined, interval multi-objective optimization is carried out in the initial range of variables, and interval midpoints and radii of peak velocity and volume force error are simultaneously minimized; finally, a corrected model with consideration of both accuracy and robustness is obtained, and is embedded into a CFD solver for flow control simulation. The application effectively overcomes the influence of parameter uncertainty, and significantly improves model prediction accuracy and engineering applicability.

The invention provides a particle containing device, non-contact type particle processing equipment and a light sensing structure of the non-contact type particle processing equipment. The particle accommodating device is used for accommodating a liquid specimen and comprises a plurality of particles. The accommodating device comprises a light sensing structure and a matching structure spaced 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 includes a charge-type track protruding from the photoelectric layer. The optoelectronic layer is operable to generate a plurality of charges concentrated on the charge-type track such that the charge density of the charge-type track is greater than the charge density of the outer surface of the optoelectronic layer, so that the charge-type track positions at least one of the particles thereon through electrostatic adsorption. Therefore, the particles are moved and positioned in an electrostatic adsorption manner, so that the positioning of the particles is accurately realized.

The application discloses a kind of quantitative methods of magnetic flux leakage signal characteristics, including based on the step of establishing subarea magnetic charge distribution density model, the step of establishing subarea magnetic charge received coulomb force model and the step of establishing the magnetic charge amount equation group of defect area, obtain the magnetic charge amount equation group of defect area, in the step of establishing magnetic charge density model, obtain the magnetic charge density model of defect area first sidewall, based on the step of establishing improved effective field model to obtain improved effective field model, and in the step of establishing the relationship model between improved magnetization intensity and stress to obtain the relationship model between improved magnetization intensity and stress, again based on improved magnetic charge density model to obtain composite magnetic charge analytical model, again through experimental verification step, improved magnetic charge density model and composite magnetic charge analytical model are verified.The non-uniform distribution of magnetic charge and stress of stress concentration area are introduced into composite magnetic charge analytical model in the application, so that the calculation and measurement result of magnetic flux leakage signal characteristics is more accurate.

The application discloses a kind of mixed emulsion explosive charging density intelligent adjustment and conveying method, comprising the following steps: S1, parameter perception and data acquisition: through the flow sensor, temperature sensor, pressure sensor and position sensor installed on mixed emulsion explosive truck, respectively collect the delivery flow, temperature, delivery pressure of latex matrix, and borehole depth, aperture data, simultaneously obtain the rock blastability parameter of operation area rock by rock blastability detection module, all collected data are transmitted to control unit in real time.The application solves the problem that traditional charging density cannot intelligently adapt to rock characteristics, has low conveying efficiency and insufficient safety, improves the blasting effect and intrinsic safety level, and is suitable for intelligent charging operation of mixed emulsion explosive in open-pit mine site.