19 results about "Permittivity distribution" patented technology

The invention relates to the technical field of coal quality detection, in particular to an online detection method and system for the quality of coal as fired. Comprising the following steps: a multi-modal data acquisition step: respectively acquiring a microwave scattering parameter and a surface element characteristic spectrogram through a microwave chromatography sensor array and a surface spectrum detector; a physical field inversion and modeling step: reconstructing a complex dielectric constant distribution diagram based on scattering parameters, and establishing a three-dimensional physical distribution model containing density and moisture; a field-spectrum coupling deduction step: taking the characteristic spectrogram as a boundary constraint, and deducing internal chemical element distribution in combination with the complex dielectric constant distribution diagram; volume weighted quantization: executing volume weighted integration for the three-dimensional physical model and the chemical distribution, and outputting comprehensive coal quality parameters; according to the method, the detection blind area of a single technology is eliminated, and the representativeness and the safety of coal as fired total cross-section detection are remarkably improved.

The invention belongs to the technical field of lunar subsurface material attribute inversion, and relates to a diffraction-reflection combined constraint dielectric constant inversion method for lunar exploration radar data, which comprises the following steps: preprocessing the lunar exploration radar data to obtain a radar profile; diffracted waves and reflected waves are separated from the radar profile; performing medium background impedance inversion based on the diffracted wave to obtain background impedance, and converting the background impedance into logarithmic impedance to obtain logarithmic background impedance; dielectric impedance disturbance inversion is carried out based on the reflected waves, and logarithmic impedance disturbance is obtained; matching and fusing the logarithmic background impedance and logarithmic impedance disturbance in a frequency domain to obtain a full-band impedance model; a dielectric constant distribution is calculated based on the full-band impedance model. By comprehensively utilizing complementary advantages of diffracted waves and reflected waves in dielectric constant inversion, stable constraint of dielectric constant low-frequency background information and fine description of high-frequency change characteristics are realized, so that the overall reliability and resolution capability of a dielectric constant inversion result are improved.

This invention relates to the field of coal quality testing technology, specifically to an online method and system for detecting coal quality entering the furnace; it includes: a multimodal data acquisition step: acquiring microwave scattering parameters and surface element characteristic spectra using a microwave tomography sensor array and a surface spectrometer, respectively; a physical field inversion and modeling step: reconstructing the complex permittivity distribution map based on the scattering parameters to establish a three-dimensional physical distribution model including density and moisture; a field-spectrum coupling deduction step: using the characteristic spectra as boundary constraints, and combining them with the complex permittivity distribution map to deduce the internal chemical element distribution; and a volume-weighted quantization step: performing volume-weighted integration on the three-dimensional physical model and chemical distribution to output comprehensive coal quality parameters; this invention eliminates the detection blind spots of single technologies and significantly improves the representativeness and safety of full-section detection of coal entering the furnace.

This invention relates to an intelligent flow sensing method and system for cold-pressing amorphous alloy powder, belonging to the field of flow measurement technology. The method includes constructing an acoustic emission feature vector; inputting the original capacitance measurement tensor and acoustic emission feature vector into a capacitance tomography reconstruction algorithm to construct a multi-frequency dielectric-mechanical coupled Gaussian mixture model; performing soft classification decoupling on the dielectric constant distribution matrix to generate a shear band density field and a porosity distribution field; introducing the shear band density field to perform free volume correction on the powder's apparent density distribution field, and solving to obtain a real-time flow characteristic scalar; inputting this time-series graph structure data into a graph neural network-long short-term memory coupled model; comparing the shear band network connectivity with a threshold in real time; and constructing a multi-objective cost function to achieve coordinated control of high-precision flow tracking and active suppression of shear band instability during cold pressing. This invention improves the flow sensing accuracy, instability early warning timeliness, and process control coordination of cold-pressing amorphous alloy powder.

This invention relates to an imaging method and apparatus for latent defects in asphalt layers based on dynamic coplanar array capacitance, applicable to the field of urban traffic road engineering maintenance technology. The method includes the following steps: determining the penetration depth of a movable array electrode coplanar capacitance sensor; selecting a corresponding movable array electrode coplanar capacitance sensor based on the determined optimal structural parameters; performing dynamic detection at a set penetration depth based on dynamic detection and electrode excitation scheme to determine the depth of latent defects in the asphalt layer; constructing a dynamic sensitive field distribution matrix of the measured area using the finite element method; constructing a normalized coplanar capacitance distribution matrix for different scanning steps at the depth of the latent defects; and reconstructing the relative permittivity distribution map of the latent defects in the asphalt layer under dynamic detection using a capacitance tomography reconstruction algorithm to identify the planar location and shape characteristics of the latent defects. Compared with the prior art, this invention has the advantages of rapid detection and accurate identification.

The application relates to a method, device and medium for optimizing a vertical super-structure grating coupler, the method comprising: initializing a dielectric constant distribution in a two-dimensional design area and stretching the dielectric constant distribution into an etching layer height; based on the initialized dielectric constant distribution, performing continuous topology optimization; in the continuous topology optimization process, performing smoothing processing on the dielectric constant distribution according to a preset filtering radius; when a change of a target function is in a predefined threshold range, introducing random disturbance; converting the dielectric constant after the continuous topology optimization into two discrete values; designing a geometric structure of the vertical super-structure grating coupler according to the discrete dielectric constant distribution obtained through optimization; and performing performance simulation on the designed vertical super-structure grating coupler to evaluate coupling efficiency and bandwidth parameters. The application provides an excellent input / output interface solution for realizing a large-scale super-compact super-structure photonic integrated circuit.

The invention discloses a current collection cable line fault positioning and hidden danger identification method, system and device and a medium, and belongs to the technical field of current collection cable line fault analysis, and the method comprises the steps: setting a plurality of measuring points on a current collection cable line to collect fault traveling wave signals, and obtaining the traveling wave current waveform of each measuring point; acquiring dielectric constant distribution and dielectric loss factor distribution of each cable section by analyzing propagation characteristics of traveling wave current waveforms among different measuring points; taking the dielectric constant and the dielectric loss factor as two-dimensional feature vectors, and calculating an insulation degradation index of each cable section through coupling analysis; dividing a degradation section according to the numerical distribution of the insulation degradation index; determining the coordinates of a fault breakdown point according to the polarity reversal position of the traveling wave current waveform; and marking a first-level insulation hidden danger point and a second-level insulation hidden danger area. According to the method, the problem of positioning errors caused by constant wave velocity hypothesis is solved, and the fault positioning precision and the hidden danger recognition accuracy are remarkably improved.

This invention discloses a method for identifying coal and coal gangue based on capacitance tomography. It utilizes a differential capacitance tomography electrode sensor to collect capacitance measurement data of coal, coal gangue, or mixtures thereof within the measured area. Direct coupling capacitance between electrodes is canceled by applying an inverse excitation signal. The raw data is preprocessed, and stable and valid capacitance measurements are selected to form a data vector. A regularized iterative algorithm is used to solve for the dielectric constant distribution, combining a preset sensitivity distribution function. An initial solution is obtained through regularization, and then iteratively updated until convergence. Image reconstruction is performed based on the dielectric constant distribution. After normalization and edge detection, a capacitance tomography image representing the location, size, and dielectric differences of the materials is generated. The image grayscale values ​​are analyzed, and coal and coal gangue regions are automatically identified and marked according to a preset dielectric constant threshold range. Simultaneously, their centroid coordinates and equivalent areas are calculated, achieving non-destructive and accurate identification of the mixture components.

The invention relates to the technical field of electrical engineering, and discloses a multi-layer dielectric film charge uniform distribution high-voltage environment collaborative anti-breakdown optimization design method, which comprises the following steps: S1, material system design: selecting a polymer with polarization intensity greater than 30mC / m < 2 > and dielectric loss less than 0.015 as a basic dielectric material, and introducing a nano filler to construct a composite dielectric layer; s2, structural design: designing an asymmetric multilayer film structure with gradient dielectric constant distribution, and regulating and controlling a charge transmission path through an interface layer; and S3, process optimization is conducted, specifically, a nanoscale interface layer is prepared through the atomic layer deposition technology, and gradient structure forming is achieved in combination with the additive manufacturing technology. According to the method, the steps of material system design, structure design and the like are integrated to form a complete collaborative optimization method, so that the problems of local electric field concentration, low breakdown threshold and difficulty in reliability evaluation caused by charge accumulation due to the fact that most of traditional high-voltage dielectric film designs adopt single-dimension optimization are solved.

The invention provides an insulating powder coating dielectric breakdown simulation method based on a phase field method, and belongs to the technical field of phase field methods and materials. The method comprises the following steps: constructing an insulating powder coating dielectric breakdown phase field calculation model, constructing a main breakdown phase field variable, constructing a relative dielectric constant distribution function changing along with space coordinates, and solving to obtain a total electric field intensity component; the total free energy F of the model is introduced, a unit step function is introduced to correct the Allen-Cahn equation, and a phase field control equation is obtained; weak forms of phase field and electrostatic field control equations are determined, and dielectric breakdown simulation is completed through mutual coupling of the phase field and the electrostatic field. The model constructed by the invention not only can accurately simulate the whole breakdown starting process of the insulating coating in a strong electric field, but also can effectively predict the critical breakdown voltage and the possible breakdown path of the insulating coating, and provides a direct and quantitative tool for accurate optimization and performance improvement of an insulating powder formula.

The application relates to a capacitive tomography method and system based on a two-stage neural network of physical information. The method comprises the following steps: collecting boundary capacitance measurement vector data of an imaging area under different electrode excitation modes; constructing a potential field reconstruction network as a first neural network, setting a hard boundary layer constraint in an output layer to meet a Dirichlet boundary condition, and constructing a first loss function to output a multi-channel potential field distribution of the imaging area; constructing a physical constraint inverse problem network as a second neural network, constructing a second loss function based on an electrostatic field Poisson equation and a multi-type electrode boundary condition, and inversely obtaining a preliminary dielectric constant distribution; constructing a hybrid loss function, obtaining a two-stage neural network through training, and obtaining a final dielectric constant distribution; and outputting and visualizing the final dielectric constant distribution to generate a capacitive tomography result of the imaging area, so that the imaging accuracy of capacitive tomography is improved.

The application discloses a controllable gradient material preparation device and method based on dielectrophoresis. A vacuumizing device is communicated with the inner cavity of an oven, and an experimental platform is arranged in the inner cavity of the oven. The experimental platform comprises a bottom plate mold and a pressurizing layer mold. The pressurizing layer mold has a pouring cavity, and the bottom plate mold is arranged at the bottom of the pressurizing layer mold and blocks the bottom of the pouring cavity. Two pairs of electrodes for simulating the electric field environment of the dielectric functional gradient material under actual working conditions are arranged in the pouring cavity of the pressurizing layer mold in a height direction. The outlet of a solution supply generator is arranged above the pouring cavity of the pressurizing layer mold, the solution supply generator is used for pouring a composite solution into the pouring cavity of the pressurizing layer mold, and a controllable voltage source is connected with all the electrodes. The application can improve the dielectric constant distribution of the material, adapt to complex electric fields in multi-dimensional space, reduce internal defects of the polymer material and improve the dielectric and electrical properties of the insulating material.

The application provides a dielectric breakdown simulation method for insulating powder coating based on a phase field method, and belongs to the field of phase field method and material technology. The method comprises the following steps: constructing a dielectric breakdown phase field calculation model of the insulating powder coating, constructing a main breakdown phase field variable, constructing a relative dielectric constant distribution function changing with a spatial coordinate, and solving to obtain a total electric field intensity component; introducing a model total free energy F , introducing a unit step function to modify an Allen-Cahn equation, and obtaining a phase field control equation; determining a weak form of the phase field and electrostatic field control equation, and completing dielectric breakdown simulation through mutual coupling of the phase field and electrostatic field. The model constructed by the application can not only accurately simulate the whole process of breakdown of the insulating coating under a strong electric field, but also effectively predict a critical breakdown voltage and a possible breakdown path, thereby providing a direct and quantitative tool for precise optimization and performance improvement of the insulating powder formula.

This invention discloses a semiconductor laser, comprising, from bottom to top, a substrate, a lower confinement layer, a lower waveguide layer, an active layer, an upper waveguide layer, and an upper confinement layer. An orbital hybrid layer is located between the upper waveguide layer and the upper confinement layer, comprising a first orbital hybrid layer, a second orbital hybrid layer, and a third orbital hybrid layer. The specific covalent bond energy distribution and dielectric constant distribution of the orbital hybrid layer in this invention enhance band hybridization, enhance Pz orbital hybridization in the vertical direction and real-space overlap, regulate interface conductivity and dual band reversal, enhance electron and hole transport paths along the basal plane, enhance hole ionization rate and hole carrier concentration, improve hole expansion capability, increase epitaxial structure capacitance, and enhance HBM human body mode ESD of the laser.

The application relates to a kind of amorphous alloy powder cold pressure flow intelligent perception method and system, it is related to flow measurement technical field, including constructing acoustic emission feature vector;Original capacitance measurement tensor and acoustic emission feature vector are input into the reconstruction algorithm of electrical capacitance tomography, construct multi-frequency dielectric-mechanical coupling Gaussian mixture model;Soft classification decoupling is carried out to dielectric constant distribution matrix, and shear band density field and porosity distribution field are generated;Introduce shear band density field to the apparent density distribution field of the powder to carry out free volume correction, and solve to obtain real-time flow characteristic scalar;The time series graph structure data are input into graph neural network-long short-term memory coupling model;Shear band network connectivity is compared with the threshold value in real time;Multi-objective cost function is constructed, and the collaborative control of high-precision tracking of flow and active inhibition of shear band instability in cold pressing process is realized.The application improves the flow perception accuracy, instability early warning timeliness and process control synergy of amorphous alloy powder cold pressing.

The application provides a kind of sewer flow monitoring method, system and storage medium based on three-phase tomography, belongs to fluid measurement technical field.In the method, the boundary voltage vector and the capacitance vector of the radial section of the pipeline are synchronously acquired, the conductivity and dielectric constant distribution images are respectively reconstructed, and the phase distribution map is generated after fusion, according to which the cross-section content rate of gas, liquid and solid three phases is described;Based on the time sequence phase distribution map, different algorithms are used to calculate the flow rate of each phase, and the interface coupling, mass conservation and wall boundary constraint are introduced for physical correction, and finally the total flow is accurately calculated by combining the corrected flow rate, cross-section content rate and pipeline cross-sectional area.The application fuses the dual-mode information of electrical resistance and electrical capacitance tomography, realizes the independent and accurate measurement of the phase content rate and flow rate in complex multiphase flow, and has the advantages of non-invasive, no pressure loss and wide application flow type.

The invention provides a drainage pipeline flow monitoring method and system based on three-phase tomography and a storage medium, and belongs to the technical field of fluid measurement. According to the method, conductivity and dielectric constant distribution images are reconstructed respectively by synchronously obtaining boundary voltage vectors and capacitance vectors of the radial section of the pipeline, a phase distribution diagram is generated after fusion, and the section holdup of the gas phase, the liquid phase and the solid phase is described according to the phase distribution diagram; based on the time sequence phase distribution diagram, different algorithms are adopted to calculate the flow velocity of each phase, interface coupling, mass conservation and wall surface boundary constraint are introduced for physical correction, and finally the total flow is accurately calculated by combining the corrected flow velocity, the section holdup and the pipeline section area. According to the invention, resistance and capacitance tomography bimodal information is fused, independent and accurate measurement of each phase volume fraction and flow velocity in a complex multiphase flow is realized, and the method has the advantages of no invasion, no pressure loss and wide applicable flow pattern.

The invention designs an electrical capacitance tomography three-dimensional image reconstruction method based on a sensitivity-like equation, and belongs to the technical field of electrical capacitance tomography. The method comprises the following steps: firstly, according to an electrostatic boundary differential equation and a capacitance calculation formula of an ECT detection system, constructing a class sensitivity equation by utilizing a Gaussian divergence theorem so as to describe a relationship between dielectric constant distribution in a pipeline and multiple groups of capacitance measurement values; performing wavelet threshold de-noising processing on the acquired multiple groups of capacitance measurement values to remove noise caused by electromagnetic interference and measurement errors; then designing and training a back propagation neural network optimized based on a double-chain quantum genetic algorithm to solve the sensitivity-like equation to obtain an approximate solution of dielectric constant distribution in the pipeline; and finally, outputting a three-dimensional dielectric constant distribution image according to the trained neural network model. According to the method, the sensitivity-like equation model, waveform denoising and the quantum optimization neural network are combined, and the accuracy and robustness of ECT three-dimensional image reconstruction are effectively improved. Experimental results show that compared with a traditional reconstruction algorithm, the method can obtain images with higher quality, and the reconstruction precision and the signal-to-noise ratio are remarkably improved.

The application discloses an electromagnetic thermoacoustic cable detection method and device, and belongs to the technical field of cable state detection. The method applies electromagnetic excitation to the cable through an excitation source and a transmitting coil or antenna, generates ultrasonic signals under electromagnetic excitation by utilizing the difference in the conductivity and permittivity distribution in the cable medium, and detects the signals through an ultrasonic sensor or array. At the same time, the excitation current signal is detected by a current transformer, the sound source distribution and the cable electrical characteristic parameter (conductivity, permittivity) distribution are inverted, the electromagnetic signals containing cable information are collected through a receiving coil or antenna, and the electromagnetic anomalies caused by defects or aging are extracted. The reconstructed sound source image, electrical characteristic parameter image and electromagnetic anomaly signal are combined to comprehensively evaluate the cable defect and aging state. The application combines the advantages of high electromagnetic detection sensitivity and high ultrasonic imaging resolution, realizes early and accurate evaluation of the internal defects and aging state of the cable, and effectively improves the safe operation level of the cable.