18 results about "Electrical capacitance tomography" patented technology

The utility model relates to the technical field of devices for measuring resistance, reactance, impedance or derived characteristics thereof, in particular to measurement of inductance or capacitance. According to the technical scheme, the spherical three-dimensional electrical capacitance tomography device comprises a spherical pole piece device composed of a plurality of electrode pieces and a spherical container, the pole piece device evenly clings to and wraps the outer surface of the spherical container, a spherical shielding cover is arranged on the outer side of the spherical container, round pipes are arranged on the two sides of the spherical container in the horizontal axial direction, and the round pipes are arranged on the outer side of the spherical container. The circular tube is coaxially matched with the flat welding flange, a closed space is formed by the interior of the shielding cover and the outer side of the spherical container, and the pole piece device is located in the closed space. The spherical three-dimensional electrical capacitance tomography imaging device solves the problems that in the prior art, the structure is complex, mounting and dismounting are inconvenient, precision is poor, and the detection effect is poor, and achieves the purposes of being high in precision, rapid in imaging and capable of giving phase distribution and phase volume fraction.

The invention provides a robot multi-mode touch sensing device based on electrical capacitance tomography, and the device comprises a flexible electrical capacitance tomography sensor which is disposed at an execution tail end of a robot and is used for sensing capacitance measurement values in a non-contact stage and a contact stage respectively; the multi-mode signal processing unit is used for acquiring the capacitance measurement value in real time, processing the capacitance measurement value to generate multi-mode touch information and feeding back the multi-mode touch information to the robot control system; wherein object category identification is carried out based on the capacitance measurement value in the non-contact stage, if the identified object is a contactable object, ECT image reconstruction is carried out by using the capacitance measurement value in the contact stage to obtain a contact image, and the contact image is converted into contact force distribution through a gray scale-pressure mapping relation. And carrying out object contour extraction by using the geometric features of the contact image. The adaptability and safety of the robot in a complex environment are improved, and the method is particularly suitable for the field of robots needing fine operation and environment interaction.

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 detachable variable-diameter electrical capacitance tomography sensor and an imaging system, which comprises array distribution electrodes and an insulating elastic belt; the measuring electrodes of the array distribution electrodes are formed by parallel and partially superimposed combination of sub-electrodes A and B; the outer sides of the sub-electrodes A and B are fixed to the surface of the insulating elastic belt; when the insulating elastic belt is contracted or extended, the lower surface of the sub-electrode A and the upper surface of the sub-electrode B of each electrode can be relatively moved, and meanwhile, the lower surface of the sub-electrode A and the upper surface of the sub-electrode B keep contact and conduction, and the electrode coverage remains unchanged; the two ends of the elastic belt are connected through a buckle structure; the two ends of the elastic belt are provided with positioning holes; when the elastic belt is closed and connected, the first measuring electrode and the last measuring electrode of the array distribution electrodes realize the same distance through the positioning holes, and the distance of the remaining adjacent measuring electrodes is the same. The detachable variable-diameter electrical capacitance tomography sensor realizes the purpose of measuring different diameter measured objects.

The present application relates to a kind of flame temperature distribution reconstruction methods based on complex dielectric constant model, comprising the following steps: first, the relationship model between relative dielectric constant ε r And conductivity σ With flame thermodynamic temperature T It is constructed;Second, a plurality of groups of flame different positions relative dielectric constant, conductivity and temperature data are collected, and the coefficient in the relationship model is determined;Third, the relative dielectric constant and conductivity distribution of flame are obtained using complex value capacitance tomography system, and the temperature of flame is calculated based on the relationship model to reconstruct the temperature distribution of flame.

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.

The invention relates to the technical field of power system operation safety monitoring and personnel protection, in particular to a human body approaching early warning method for live equipment, which comprises the following steps: firstly, constructing an electrical geometry safety envelope under a unified world coordinate system, and generating a signed distance field and electric field intensity reference model; millimeter wave frequency modulation continuous wave radar echoes, field protection electrode amplitude and phase signals and ground electrical capacitance tomography data are collected and fused to obtain the position and speed of the human body, and the gait phase is determined based on micro Doppler; according to the signed distance, the speed along the normal direction and the gait phase, calculating the remaining time of reaching the electric geometry safety envelope boundary, and combining with the electric field intensity to evaluate the electric stress and generate a risk level and an early warning; and further correcting the signed distance field according to the guard field electrode residual error, solving the guard field electrode bias by using the boundary displacement influence matrix, and generating boundary normal displacement to improve the remaining time.

This invention discloses a nickel powder variable-size electrode capacitance tomography sensor, belonging to the field of sensor design technology. It includes an acrylic insulating layer, a fixed mounting frame, a powder electrode storage device, a soft magnetic sheet recovery device, and a nickel metal powder electrode array. Several measuring rods are uniformly arranged around the outer circumference of the fixed mounting frame. A powder electrode storage device and a soft magnetic sheet recovery device are sequentially arranged at the end of each measuring rod near the acrylic insulating layer, with the powder electrode storage device located on the outer circumference of the acrylic insulating layer. Adjacent measuring rods are connected by soft magnetic sheets, with a bonding rod on the outer side of the soft magnetic sheets. The nickel metal powder electrode array includes several measuring electrodes uniformly arranged around the circumference of the object to be measured. This invention, through the nickel powder variable-size electrode capacitance tomography sensor, allows for the flexible selection of powder electrodes of arbitrary width to adapt to imaging channels of different circumferences.

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 a multi-sensor fusion capacitance tomography pipeline sediment on-line monitoring method. The method comprises the following steps: acquiring a capacitance signal, a temperature signal and a pressure signal of a natural gas pipeline environment; inputting the temperature signal and the pressure signal as features into a machine learning model to obtain a capacitance correction coefficient, and calibrating the capacitance signal by using the capacitance correction coefficient to obtain a calibrated capacitance signal; inputting the calibrated capacitance signal, temperature signal and pressure signal into a convolutional neural network model to obtain a sediment distribution image in the cross section of the natural gas pipeline; and generating a sediment state monitoring result based on the sediment distribution image. According to the invention, the distribution of the sediments in the sulfur-containing gas pipeline is accurately monitored, efficient, accurate and real-time monitoring is realized, and the operation and maintenance cost is reduced.

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.