43results about "Flaw detection using microwaves" patented technology

This invention relates to the field of heat-sealing performance quality inspection technology for flexible packaging, and discloses an online detection system and method for the heat-sealing performance of large-scale flexible packaging. Specifically, it combines infrared thermal imaging detection technology, millimeter-wave imaging detection technology, and AI visual inspection technology. After the heat-sealing process, infrared thermal imaging detection technology is used to detect the temperature distribution during heat sealing, achieving visual quality inspection of the heat-sealing process. Then, millimeter-wave imaging detection technology is used to detect the physical structure inside the seal after heat sealing, achieving visual quality inspection of the heat-sealed product. This invention, through the sequential detection order of "infrared thermal imaging first, then millimeter-wave imaging," ensures that a product is only deemed qualified if it simultaneously passes two detection checkpoints based on different physical principles, and the results of both checkpoints are verified by the host computer. This greatly improves the overall reliability of the detection system.

The application relates to the field of underwater flaw detection, and discloses an underwater flaw detection device and a trimming protection mechanism thereof, which comprises a radar body, the radar body is installed in a cabin body, a trimming protection mechanism is installed on the outside of the cabin body, the cabin body and the radar body are balanced, a connecting mechanism is further installed at the bottom of the cabin body, and the connecting mechanism is used for connecting the cabin body with an underwater ground; the radar body is installed in the cabin body, the radar can detect the underwater dam body part, cracks in the underwater dam body can be found in time, early warning and treatment work before a serious accident of the dam body can be facilitated, and meanwhile, the connecting mechanism arranged at the bottom is used for connecting the cabin body with the underwater ground when underwater undercurrent or other fluctuations are encountered, so that the cabin body (i.e. the underwater flaw detection device) is prevented from being taken away, and the situation that the underwater flaw detection action is affected is prevented.

A kind of microwave sensor suitable for metal mesh film nondestructive testing, belong to microwave sensor technology, by dielectric substrate, microstrip line, resonant structure, SMA joint pad, metallization via, depth control mounting hole, straight insertion type SMA joint, fixing screw, metal ground layer, radio frequency coaxial line and microwave transceiver equipment are constituted;Among them, resonant structure is a plurality of Archimedes spiral line etched on metal ground layer, is fed by microstrip line;Fixing screw is fixed with straight insertion type SMA joint and SMA joint pad;Fixing screw head is embedded in dielectric substrate, so that the bottom of sensor is flat without protrusion;Sensor realizes the detection of each direction width sub-millimeter level crack damage on metal mesh film and the identification of high square resistance sample respectively by the shift of resonant frequency and the change of resonant quality factor, detection sensitivity is high, and sensor structure is compact, small in size, fast in response speed, can be applied to nondestructive testing of large area metal mesh film.

The application discloses a detection method and system for coating uniformity of a laminator adhesive, and belongs to the technical field of coating equipment control. The method comprises the following steps: synchronously collecting a first detection signal of a wet adhesive layer on a substrate between a coating unit and a drying unit and a second detection signal of an adhesive layer in a composite film on the substrate after a laminating unit; based on the running speed of the substrate and the arrangement positions of a capacitive sensor array and a microwave resonance sensor, the positions of the substrate reflected by the first detection signal and the second detection signal are time-space aligned; according to the aligned second detection signal, the dry adhesive reference quantity of a target section is calculated; according to the dry adhesive reference quantity, the aligned first detection signal is dynamically compensated and calibrated; according to the calibrated first detection signal, the two-dimensional distribution information of the adhesive layer of the target section is calculated, and the uniformity defects of the coated adhesive layer are further identified. Through the above scheme, the online detection of coating uniformity is achieved comprehensively, stably and accurately.

A self-excitation microwave sensor suitable for non-destructive testing of metal mesh film, belonging to microwave sensor technology, comprising a resonant sensing structure, a microwave amplifier, a phase shift element, a band-pass filter, a radio frequency detector, a digital-to-analog converter and a microprocessor; wherein the resonant sensing structure, the microwave amplifier, the phase shift element and the band-pass filter form a self-excitation oscillation loop, the resonant sensing structure has a band-pass characteristic, is located in the feedback branch of the loop, the resonant frequency thereof is consistent with the center frequency of the band-pass filter, and the loop gain and the phase shift satisfy the self-excitation oscillation condition at the frequency; by reasonably setting the gain of the microwave amplifier and collecting the self-excitation oscillation signal power in real time, the sensor can realize detection of sub-millimeter width crack damage and identification of high square resistance samples, has high detection sensitivity, compact structure, small volume and low cost, does not need other external microwave analysis instruments, and can be applied to on-site non-destructive testing of metal mesh film.

This invention discloses a microwave detection method for delamination defects in composite materials coupled with infrared thermography. It utilizes image enhancement algorithms to process initial infrared image sequence data, improving the contrast between defective and non-defective regions to obtain an enhanced and denoised infrared image sequence. From this sequence, a three-dimensional temperature matrix is ​​derived. Based on the new defect depth matrix obtained by the microwave detection method, a geometric model for three-dimensional heat transfer simulation is established. The heat flux density, ambient temperature, and other relevant parameters during infrared detection are used as boundary conditions for the three-dimensional heat transfer simulation, resulting in a simulated surface temperature matrix. The average error between the measured temperature matrix and the simulated temperature matrix within the defect edge range is compared to see if it is less than a given error, thus achieving defect detection. This invention uses infrared thermography temperature data to correct the defect edges detected by microwave detection, enabling the precise detection of the contour and location of internal defects in composite materials, and to some extent solving the problem of inaccurate defect contour identification in microwave detection methods.

The application discloses a metamorphic concrete and roller compacted concrete joint quality identification method, system and equipment based on a ground penetrating radar. One-dimensional original waveform data of a metamorphic concrete and roller compacted concrete joint position is obtained by using a ground penetrating radar. After data preprocessing, noise waveform data is obtained. The noise waveform data and the original waveform data are integrated into a data set after being uniformly labeled. The data set is divided into a training set, a validation set and a test set. Based on the training set and the validation set, a DNFN model is used to construct and train a concrete joint quality identification model. The trained concrete joint quality identification model is used to infer and predict the data in the test set to determine whether the metamorphic concrete and roller compacted concrete joint position quality is qualified or unqualified. The application can quickly, accurately and non-destructively identify whether the joint position quality is qualified or unqualified, thereby providing reliable technical support for engineering quality control.

The application provides a kind of concrete nondestructive testing method, it is related to concrete detection technical field.It includes: S1, using ultrasonic wave, electromagnetic wave and infrared thermal imaging three detection methods, respectively collect the detection data of concrete test piece;S2, the detection data is preprocessed and feature extraction, obtains the multidimensional feature vector including ultrasonic wave velocity, first wave arrival time, electromagnetic wave reflection coefficient, infrared temperature distribution;S3, based on D-S evidence theory, constructs the probability distribution function of three detection methods to concrete defect type, and carries out evidence fusion, obtains preliminary fusion recognition result;S4, the multidimensional feature vector is input into the neural network model after training, carries out defect classification and positioning identification, outputs final recognition result;S5, according to the final recognition result judges concrete health state, defect type and position, and outputs detection report.The application has the effect that the accuracy and reliability of nondestructive testing are high.

The application belongs to the technical field of tunnel engineering detection, and specifically discloses a soft surrounding rock tunnel initial support cavity detection method and system, which comprises the following steps: collecting data and calibrating positions through a radar detection vehicle, analyzing local electromagnetic wave characteristics to determine cavities and mark suspicious areas, extracting time differences to calculate cavity depths in combination with electromagnetic wave speeds, determining longitudinal lengths and transverse widths according to radar images, calculating initial detection volumes in combination with a cavity shape pattern library, confirming actual parameters through secondary reexamination, finally evaluating structure risk levels according to actual positions and volumes, and generating a detection report; the radar detection vehicle is used for non-contact geological radar detection, so that physical damage of a support structure caused by traditional drilling is avoided, the integrity of the support structure is ensured, and through quantitative criteria of multiple characteristics such as reflected wave amplitude, phase and waveform, subjective artificial judgment is replaced, the objective reliability of detection results is improved, and the detection efficiency is greatly improved in the automatic and continuous scanning mode.

This invention discloses a method and apparatus for detecting delamination defects in ceramic matrix composites using a flexible microwave resonator. The apparatus includes a flexible microwave resonator, a vector network analyzer, a two-dimensional scanning platform, and a data processing unit. The flexible microwave resonator consists of a polyimide substrate, a top-opening resonant ring, and a bottom coplanar waveguide feeding structure, conformally attached to the surface to be tested due to its flexibility. The method acquires S11 curves at various points by scanning, extracts the resonant frequency as a feature value, and finds that the resonant frequency offset has a monotonically changing relationship with the depth of the delamination defect. By constructing a resonant frequency distribution image, high-sensitivity localization, imaging, and quantitative depth inversion of delamination defects in ceramic matrix composites are achieved. This invention solves the problems of rigid sensors being unable to adapt to curved surface detection and low sensitivity for small defects, and is suitable for non-destructive testing of complex components such as aero-engine blades.

The present invention relates to a method for processing medical images of a region of a patient's body, in particular human tissue of the breast, by means of a medical imaging device (1), the medical imaging device (1) comprising a microwave probe array comprising K>1 probes spaced apart from one another, the array comprising P>1 different configurations defining transmitting and receiving probes for one or more positions around the region, the transmitting probes configured to transmit microwave signals to illuminate the region of the body and the receiving probes configured to receive the microwave signals after scattering and reflection in the region, the probes may be configured to transmit and receive simultaneously in a complementary manner.

This invention relates to the field of radar detection and discloses a method, apparatus, equipment, and storage medium for locating subgrade defects in heavy-haul railways. The method includes: acquiring radar data corresponding to subgrade defects in heavy-haul railways; identifying the radar data to determine layer structure information and the location data of individual complete bridges; calculating the thickness of each layer based on the layer structure information using a preset dielectric constant, and calculating the depth of the subgrade defect using the thickness of each layer; performing regression calculations on the location data using a preset linear regression model to obtain reference mileage data, and correcting the radar data based on the reference mileage data to obtain corrected mileage data corresponding to the subgrade defect. The subgrade defect location method disclosed in this application solves the problem of inaccurate subgrade defect location, enabling accurate location of subgrade defects by combining depth and mileage data, improving the accuracy of subgrade defect location, and contributing to improved defect remediation efficiency.

The application discloses a highway pavement quality detection method and system, relates to the technical field of highway material quality detection, and obtains original detection data and environmental parameters of a to-be-detected pavement; a deep learning model is used to analyze the original detection data, pavement disease characteristics are obtained and quantitatively calculated, structural state parameters are obtained, the original detection data are calculated based on a modified variable separation method and a temperature dielectric hybrid model, and pavement asphalt state data are obtained; a cracking probability model based on thermodynamic response is used to dynamically correct the structural state parameters and the environmental parameters, and fatigue damage indexes are calculated; a decision feature vector is constructed, feature mapping of the decision feature vector is performed through a nonlinear fusion decision model, a road health index is output, and a road health grade is determined, so that the efficiency and objectivity of road detection are improved, and accurate maintenance of the highway pavement is realized.

This invention discloses a method for assessing tunnel lining defects based on multi-source data and data-physical fusion experiments. The method includes front-end multi-source data acquisition, numerical analysis and prediction of defect development, and physical testing machine-based reconstruction and prediction of defect conditions. This invention acquires multi-source data on tunnel lining defects and structural degradation using a linear array camera, laser vibrometer, and 3D laser scanner. The acquired data is processed and analyzed, and the development tendency of the main defects controlling lining damage is predicted based on the TCI circle. A tunnel lining-defect model is constructed based on the original tunnel lining operating conditions and the acquired defect information. A dynamic-static load lining pressure testing machine is used to simulate tunnel surrounding rock pressure, seismic loads, and traffic loads. Pressure tests are conducted on the lining-defect model to verify the development tendency of the main defects. The physical experimental results can be mapped to the actual defect development situation in the engineering field, providing a reference for the safe operation and maintenance of tunnel linings and disaster prevention and control.

The invention relates to a system that implements an inspection process for an identified tire during retreading, characterized in that the system comprises a thickness measurement device (100) including an electromagnetic jet (106) incorporating a horn antenna (106a) extended by a cylinder including a cylindrical tip (106b). The invention also relates to an inspection process for an identified tire during retreading, the inspection process implemented by the disclosed system. The invention further relates to a retreading method including the inspection process implemented by the disclosed system. Figure for the abstract: Fig. 5

This utility model is a detector for the outer sheath of power cables in thermal power plants, including a base plate and a detection mechanism. The detection mechanism includes a detection body with a control panel mounted on its front. Detection through holes are formed on the left and right side walls of the detection body. Two protective shells are installed inside the detection body. One protective shell houses a high-frequency electromagnetic generator and a transmitting coil, while the other protective shell houses a receiving coil. The control panel is electrically connected to the high-frequency electromagnetic generator and the receiving coil via wires. The transmitting coil is electrically connected to the high-frequency electromagnetic generator via wires. Two support columns are located on the left and right sides of the upper surface of the base plate, and a winding roller is rotatably connected between the two support columns. One of the winding rollers is connected to a drive motor. This utility model, through the cooperation of the high-frequency electromagnetic generator, the transmitting coil, the receiving coil, and the control panel, can accurately detect the internal structure of the outer sheath of power cables in thermal power plants.

The embodiment of the invention provides a boiler heating surface crack detection radar side cloud collaborative task scheduling method and system. The method comprises the following steps: firstly, deconstructing a millimeter wave radar detection process into a plurality of calculation components with a data stream dependency relationship; further constructing a mixed integer nonlinear programming model with the goal of minimizing the total delay and the total energy consumption of the system, wherein model decision variables comprise task allocation positions, edges and cloud computing resources; solving by adopting an optimization algorithm integrating problem relaxation, Monte Carlo robust adjustment, branch and bound and genetic algorithms to obtain an optimal task scheduling and resource allocation strategy; and finally, dynamically deploying each component to an edge or a cloud node for execution according to the strategy. Unification of high precision, low delay and high energy efficiency of a detection task in a complex industrial environment is realized, and the system resource utilization rate and the environmental adaptability are improved.

The application discloses a floor tile hollow detection and acceptance method, which detects the floor tile hollow by using a floor tile hollow detection device and judges the floor tile hollow state according to detection data. The application judges the floor tile hollow state after comprehensively analyzing sound, vibration and radar scanning results, avoids errors in single index judgment by using comprehensive judgment of multiple indexes, effectively improves the accuracy of floor tile hollow judgment, and greatly reduces the probability of rechecking. The comprehensive judgment of multiple indexes against each other can also realize updating and self-improvement of the control system algorithm, and further improve the accuracy of the judgment result.

This invention discloses an electromagnetic defect detection system and method based on W-band imaging characteristics, belonging to the field of electromagnetic defect detection. It includes: an antenna, a transceiver assembly, a frequency conversion assembly, and a signal processing assembly. The antenna comprises a transmitting antenna and a receiving antenna. The transmitting antenna receives radio frequency signals from the transmitting component of the transceiver assembly and radiates them outwards. The receiving antenna receives electromagnetic wave signals from the target under test and feeds them into the receiving component. The transceiver assembly includes a transmitting component and a receiving component. The transmitting component amplifies the power of the radio frequency signals from the frequency conversion assembly. The receiving component performs gain control and filtering on the radio frequency signals from the receiving antenna. The frequency conversion assembly includes an up-conversion component, a down-conversion component, and a frequency synthesizer component. The signal processing assembly receives parameter commands from a software terminal and sends the commands to the transceiver assembly and the frequency conversion assembly. This solution can accurately determine the location of electromagnetic defects.

A target radar wave stealth defect influence evaluation method, comprising: performing radar imaging on a stealth target in an initial state, obtaining a reference image of the stealth target, and obtaining a reference RCS of the target through inversion calculation; modifying the obtained local radar image result according to the corresponding region position of the obtained target reference image to obtain an evaluation image of the target; performing RCS inversion calculation on the obtained evaluation image; comparing the reference RCS obtained through inversion calculation of the reference image with the RCS result obtained through inversion calculation of the evaluation image to obtain a quantitative result of the RCS change of the target, and evaluating the influence of the radar wave stealth defect of the target. The present application can quantitatively evaluate the change of the stealth performance of the equipment in use at any time, and has the advantages of short evaluation time, low cost and small difficulty, and provides strong support for the evaluation of the tactical performance of the equipment and the maintenance of the stealth performance.

The application discloses a kind of multi-patch coreless RFID metal crack antenna sensor, it is related to metal crack detection technical field.The present application includes dielectric substrate and the multi-patch resonator arranged thereon, the multi-patch resonator includes center patch resonator, horizontally arranged one group of horizontal group circular patch resonator and vertically arranged one group of vertical group circular patch resonator, the horizontal group circular patch resonator and vertical group circular patch resonator are different in size, for generating independent resonant frequency, realize the multi-parameter detection to metal crack direction and width.The sensor of the present application is combined by cutting angle rectangular center patch and two groups of different size circular patches, effectively suppresses electromagnetic coupling between resonant units, ensures that each resonant point works independently, improves detection reliability.

The invention relates to a method for measuring an internal quality of a fruit wherein use is made of a microwave measuring system. The invention further relates to a microwave measuring system for measuring an internal quality of a fruit. The method of the invention is an improved method because it allows to determine an internal quality of a fruit with a higher dynamic range. The method relies on measuring a complex reflection coefficient, and using this reflection coefficient as input in a regression model, within the Fraunhofer distance of the antenna.

A mobile nondestructive testing scanner with SLAM. A nondestructive testing (NDT) scanning method for detecting and measuring subsurface structures (22) of an environment, and such an NDT scanner (1), particularly a ground penetrating radar (GPR) and / or an inductive and / or capacitive scanner. The method includes: tracking the scanning position during scanning of the subsurface structure (22) based on an evaluation of a stream or sequence of environmental images captured by the imaging sensors (17, 17a-17c) of the NDT scanner (1) using a Simultaneous Localization and Mapping (SLAM) algorithm. Based on the tracked position, a position-related trigger signal (36) and / or position-related user guidance information (19a, 19b) for triggering measurements of the subsurface structure (22) are automatically calculated and output.

This invention discloses a near-field antenna with high focusing characteristics based on a symmetrical rectangular leaky waveguide, relating to the field of microwave antenna technology. It includes a first short leaky waveguide unit and a second short leaky waveguide unit, both with identical structures and synchronized feed phases. The electric field vector polarization directions of the first and second short leaky waveguide units at a preset focal point S are also consistent. Through coherent superposition of symmetrical beams, the field strength amplitude at the focal point is significantly enhanced, resulting in a significant improvement in detection sensitivity. When applied to non-destructive testing of composite materials, a stronger incident field can excite stronger defect scattering signals, thereby enabling the detection of deeper and smaller internal defects. The symmetrical structure naturally compensates for the directional deviation of the unidirectional leaky wave antenna, resulting in a more uniform distribution of the focused spot in both the longitudinal and lateral directions, thus improving the spatial resolution of the detection.

The present application provides a kind of UWB radar-based liquor nondestructive identification method and system, the method comprises: system pre-calibration and prior database construction, MIMO UWB echo data acquisition;Spatial filtering and target echo separation;Multi-dimensional identification feature extraction;Two-stage lightweight AI model identification;Wherein, prior database construction includes: collecting the echo data of empty bottle of mainstream liquor on the market, constructing empty bottle clutter prior library, collecting the wine body characteristic data of corresponding brand true wine, constructing true wine wine body characteristic library;Based on the temperature characteristics of dielectric constant of ethanol-water solution, a temperature-dielectric constant real-time compensation model is established, which is adapted to the temperature sensor of mobile phone.The present application provides a kind of UWB radar-based liquor nondestructive identification method and system, which realizes high accuracy and high operability of liquor nondestructive identification through lightweight calibration algorithm and end-side AI model.

This invention provides a comprehensive monitoring and treatment method for the surrounding rock damage area in deep unloaded hard rock tunnels under blasting disturbance, belonging to the field of rock mass engineering monitoring technology. This invention extracts the reference amplitude sequence, reference phase sequence, disturbance amplitude sequence, and disturbance phase sequence by performing a Hilbert transform on the radar reflected wave sequences before and after blasting disturbance; constructs an amplitude difference term and a phase amplitude interference term and performs nonlinear coupling to obtain a time-shifted differential signal sequence; performs a Hilbert-Huang transform on it, multiplies the frequency domain weighting term by the square of the time-varying amplitude and integrates to obtain the cumulative marginal energy; calculates the cumulative damage index by combining a fractional damping term and an exponential decay term; delineates the damage area based on the spatial distribution of the cumulative damage index exceeding a preset threshold at each collection point, and outputs the surrounding rock damage result by comparing the maximum value of the index within the damage area with a preset level interval, thereby achieving accurate quantitative definition of the hidden damage boundary of deep surrounding rock and efficient early warning of engineering disasters.

This invention discloses a method and system for detecting pavement structure damage based on radar full-profile map features, comprising: Step 1, acquiring high-density three-dimensional electromagnetic wave data and preprocessing it; Step 2, converting the preprocessed data into a 3D point cloud profile and segmenting it into B-Scan and C-Scan maps, and labeling the structural damage types; Step 3, constructing a dual-input YOLO target detection model including an input terminal, a feature extraction module, a feature fusion module, a multi-scale discrimination module, and a regressor. The input terminal receives the B-Scan and C-Scan maps and transmits them to the feature extraction module to obtain the structural damage feature information corresponding to the B-Scan and C-Scan maps. The feature fusion module stitches the data together to generate fused feature information, which is then transmitted to the multi-scale discrimination module for multi-scale feature fusion and enhancement processing, and finally outputs the prediction result box through the regressor; Step 4, calculating the actual location and size information of the structural damage and a pavement structure damage detail table through a coordinate transformation algorithm.

This invention provides a method for generating reference status data for monitoring the status of a chamber, a method for monitoring the status of a chamber, and a device for monitoring the status of a chamber. [Solution] The method includes the steps of: obtaining a reference status dataset that reflects the status of a chamber; transmitting radio waves within a specific frequency range into the chamber to be monitored and receiving the radio waves reflected by the internal space of the chamber; generating current status data of the chamber using the received radio waves; generating monitoring information for the current status of the chamber using the reference status dataset and the current status data; and providing the monitoring information.