11 results about "Electrical capacitance tomography" patented technology

The application relates to an image reconstruction method of an LSTM-based electrical capacitance tomography system, which comprises the following steps: (1) constructing an electrical capacitance tomography system model, obtaining a sensitivity field of the electrical capacitance tomography system through Comsol finite element simulation software, and obtaining electrical capacitance vectors under different positions and different shapes of an object field distribution; (2) obtaining a reconstructed image through a Landweber algorithm; (3) determining a ''time sequence'' sample according to ''rows'', and obtaining an image reconstruction result through an LSTM neural network model; (4) determining a ''time sequence'' sample according to ''columns'', and obtaining an image reconstruction result through an LSTM neural network model; and (5) fusing two image results to obtain a final image reconstruction result. Through the above method, the reconstructed image quality is improved, and the reconstructed medium distribution is closer to the real distribution.

The invention provides a control method for accurate blanking of a hopper scale, and relates to the technical field of industrial automation and process control, and the method comprises the steps: obtaining the internal density distribution data of a material in a hopper through at least one electrical capacitance tomography sensor; obtaining inter-particle stress data of the material through at least one acoustic emission sensor; taking the internal density distribution data and the inter-particle stress data as observation variables, and inputting the observation variables into a dynamic Bayesian network DBN model; utilizing a DBN model to carry out probabilistic inference on a hidden material state of the material, the hidden material state at least comprising a flow failure probability; when the flow failure probability exceeds a preset threshold value, generating a preventive control signal; a preventative control signal is applied to a flow actuator to correct the flow condition of the material prior to a macroscopic flow failure of the material. The blocking risk can be reduced to the germination state as much as possible in the early stage of formation of the pre-bridging microstructure.

The application discloses a kind of general detachable sensor's quick electrical capacitance tomography device and imaging method, its rigid support is the combination of two support main bodies detachable;Assembled support can be around the outside of the area needing imaging;Rigid support is set for through the multiple through holes of scale rod;Through hole is all with the center of rigid support as center and extends outward;Scale rod is hollow insulating round rod of length scale being set on surface, and its end head in the inside of rigid support is connected electrode by rotatable connecting device;Electrode is flexible electrode sheet;Shielding signal line of electrode sheet is connected to the capacitance data acquisition instrument circuit of outer end by connecting device, rod cavity of scale rod in turn;When imaging, electrode outer surface is adhered to the surface of the area needing imaging to form the outline of imaging area.The application can realize the measurement of different sizes and different shapes imaging area, and widely applicable, easy to disassemble and assemble, improve measurement accuracy without damaging the object.

The application discloses a kind of based on electromagnetic field momentum's electrical capacitance tomography method and gradient signal detection device, the method is based on electromagnetic field momentum reciprocity theorem, reconstructs dielectric constant by the gradient signal of capacitance.It steps are, first, solve boundary value problem under voltage source excitation, construct sensitivity matrix or the gradient of sensitivity matrix;Second, construct ECT-EMM linear equation under suitable coordinate system;Then, obtain the gradient signal of sensor receiving electrode's capacitance by signal detection part;Again, reconstruct dielectric constant distribution using sensitivity matrix or the gradient of sensitivity matrix, coordinate system related coefficient vector and the gradient signal of capacitance.It gradient signal detection device includes: signal generating part, sensor, signal detection part, signal amplification part and signal acquisition and imaging algorithm part.The imaging method proposed in the application has the advantages of high imaging resolution and can meet the needs of different industrial environments.

The invention discloses a basalt fiber concrete internal structure visualization method and system based on electrical capacitance tomography, and the method comprises the steps: collecting the internal capacitance signal data of basalt fiber reinforced concrete through an array sensor, and removing the interference of environmental noise through a filtering algorithm, thereby obtaining a preliminary purification signal; calculating a capacitance distribution matrix according to the preliminary purification signal, and reconstructing an initial image by adopting a capacitance tomography algorithm to determine an internal structure contour; if the dielectric property difference of the fiber distribution area in the initial image exceeds a preset threshold value, enhancing boundary details by using a convolutional neural network to obtain a refined image; deep change features are extracted from the refined image, the signal distortion degree is judged, reconstruction errors are corrected through an iterative optimization algorithm, and a calibrated image is obtained; analyzing defect positioning coordinates according to the calibration image, and obtaining a fiber distribution uniformity index to judge a potential gap boundary; and integrating the uniformity index and the capacitance distribution data by adopting a fusion algorithm, and generating a final visual image to determine the integrity of the internal structure.

The invention relates to the technical field of flow detection, in particular to a liquid identification method based on an electrical capacitance tomography technology. A DN mapping matrix is artificially constructed by using capacitance data measured in an ECT system, the size of the DN mapping matrix is controlled by adjusting parameters: calibrating a dielectric constant, the change of an empty field dielectric constant is simulated, and the empty field dielectric constant is adjusted to be close to a measured dielectric constant. And constructing a container radius-truncation radius comparison table, and quickly selecting an optimal truncation radius value according to the radius of the measured container. And designing a segmented interval correction method, and searching the calibration dielectric constant in the technical scheme in an iteration mode. According to the technical scheme, the ECT liquid identification method based on the Calderon method is designed. According to the method, the calculation speed is high, the single dielectric constant calculation time of the algorithm is about 0.1 s, and the single liquid identification time is 4 s. The identification precision is high, and the error between the calculated value of the dielectric constant and the measured dielectric constant value does not exceed 0.01 F / m.

This invention relates to a method for dual background image reconstruction and fusion in capacitance tomography, the method being as follows: (1) Constructing a capacitance tomography system model and obtaining the sensitivity fields of two capacitance tomography systems that form a dual background relationship. (2) Obtaining capacitance measurement data of a pipe filled with a first medium A and a second medium B; simultaneously obtaining capacitance measurement data with the first medium A as the background and the second medium B as the object under test. (3) Using the Landweber iterative algorithm, reconstructing images with the first medium A and the first medium B as the background respectively, and obtaining their reconstructed image results. (4) Fusing the reconstructed image results based on physical consistency constraints, and outputting the final fused image reconstruction result. This invention improves the quality of the reconstructed image, making the reconstructed medium distribution closer to the real distribution; it also improves the robustness and consistency of the image reconstruction results.

This invention discloses a non-invasive capacitive tomography (CTT) platform for tracing the motion trajectory of micro / nano dust particles in GIS / GIL (Gas Insulator / Gas Inlet) systems. The platform comprises six parts: a GIS / GIL model, a capacitive sensor module, a signal generation module, a data acquisition module, an image reconstruction module, and a control module. The GIS / GIL model includes a high-voltage conductor, a GIS / GIL pipe shell, a basin-type insulator, and a support. Micro / nano dust particles simulating mechanical friction are placed on the GIS / GIL pipe shell; other connecting and protective devices are omitted. The entire device is placed in air and, when pressurized, can simulate the actual operation of a GIS / GIL in air. The capacitive sensor module is placed outside the GIS / GIL model. The measuring cylinder is made of acrylic and has a uniformly distributed electrode array. The electrode array is connected by electrode leads, with one circle along the tangential direction of the measuring cylinder forming a group of excitation / detection electrodes, which are then input to the data acquisition module via a serial bus. A shielding cover is placed outside the entire capacitive sensor module to isolate external interference, and a shielding ring is placed to concentrate the axial electromagnetic field, thereby improving sensor sensitivity.

The invention discloses an ECT imaging method based on multi-electrode mixed cascade, and the method comprises the steps: firstly, providing an electrode improvement method based on multi-electrode mixed cascade, obtaining more measurement capacitance data through combining a mixed scheme of a single electrode, two-electrode series connection and three-electrode series connection, expanding a sensitive field, and weakening the influence caused by the morbidity and underqualification of an ECT system; secondly, an ECT imaging algorithm based on zero filling and random recombination and combined with sparse image reconstruction is provided, better randomness improvement is obtained by conducting zero filling and recombination on a capacitance sensitive field and combining more measuring capacitors at the same time, then a sparse observation equation is constructed, and the relative dielectric constant is estimated and solved; and a better image reconstruction effect is obtained. According to the method, the optimization of the electrode sensor and the proposal of a new image reconstruction algorithm are favorably combined, a plurality of inherent problems of the ECT system are improved, a better image reconstruction effect is obtained, and finally the feasibility of the method is verified through experiments.

The invention belongs to the field of electrical tomography, and provides an adaptive electrical capacitance tomography method and system with a differential structure, and the method comprises the steps: excitation generation, measurement signal collection, reference signal collection, signal demodulation, table look-up adaptive adjustment, capacitance calculation, and image construction. The system comprises an excitation subsystem, an ECT subsystem, a measurement subsystem, a reference subsystem and a resolving subsystem. Through a differential circuit acquisition structure, the influence of common-mode disturbance such as system link delay and parasitic capacitance on a measurement result is reduced; through the digital lock-in amplifier, the capability of resisting external severe environment interference is enhanced; through table look-up adaptive adjustment, adaptive adjustment can be carried out on the sampling resistance and frequency according to the capacitor network to be measured, and accurate measurement of the capacitor in a complex environment is realized.

The invention discloses a two-phase flow measurement sensor with coupled phase distribution. A to-be-measured two-phase flow is arranged in the insulated measurement pipeline, and the internal space of the insulated measurement pipeline is an effective measurement domain of the sensor; the flanges are arranged at two ends of the insulated measuring pipeline; the flexible circuit board adopts a multi-layer printed circuit board technology and comprises two completely identical flexible measuring electrode arrays, three flexible axial shielding rings and a flexible circuit insulating layer; the flexible axial shielding rings are respectively arranged in the middle and at the two ends of the two groups of flexible measuring electrode arrays, and the two groups of flexible measuring electrode arrays are respectively used as an upstream phase distribution sensor and a downstream phase distribution sensor; and an insulating sleeve and a shielding cover are arranged outside. The existing multi-electrode capacitance sensor for measuring the phase distribution of the low-temperature fluid applied to an electrical capacitance tomography (ECT) system is improved, a double-ECT sensor cross-correlation measurement scheme is provided, and the flow of two-phase flow is measured by measuring the cross-correlation of phase distribution information.