100 results about "Microwave detection" patented technology

The invention relates to the technical field of radiator monitoring, and particularly discloses a radiator heat dissipation performance dynamic test system, which is characterized in that a heat source simulation body is arranged on a heat transfer interface of a radiator, and a high-fidelity dynamic electric power load is applied to the heat source simulation body to simulate an actual working condition; radiating a microwave detection signal to a space where the heat source simulator is located and receiving a multi-path scattering response signal; the three-dimensional dielectric constant dynamic distribution of the heat source simulation body is reconstructed by solving the inverse scattering problem fused with the space-time constraint; according to the material dielectric constant-temperature relation mapping, three-dimensional temperature field dynamic distribution is generated; and finally, intelligently identifying and extracting a migration track and a temperature change curve of the highest temperature point in the space from the continuous time sequence temperature field data, and taking the migration track and the temperature change curve as a direct evaluation basis for the dynamic heat dissipation performance of the radiator. According to the method, lossless, full-field, real-time visualization and quantitative analysis of the migration process of the dynamic hot spots in the hidden heat source are realized, and the authenticity of the dynamic heat test is improved.

The invention discloses a cable trench fireproof cover plate performance detection device and method based on multi-band electromagnetic waves. The device comprises a microwave detection module, a terahertz imaging module, a high-precision two-dimensional mechanical scanning platform, a synchronous control and data fusion unit and a comprehensive data analysis platform. The microwave module is used for transmitting and receiving 1-10GHz electromagnetic waves to realize deep structure detection; the terahertz module works at a frequency band of 0.1-3 THz and is used for acquiring near-surface time-domain spectral information. And the scanning platform drives the modules to perform two-dimensional rasterization scanning on the surface of the cover plate. And the synchronous control and data fusion unit coordinates the time sequence action of each module to ensure the time-space consistency of data acquisition. And the comprehensive data analysis platform performs fusion processing on the multi-source data through an inversion and imaging algorithm to generate a comprehensive evaluation report covering internal macroscopic defects, near-surface microdefects and coating thickness. According to the invention, through collaborative integration of microwave and terahertz technologies, multi-scale and integrated nondestructive testing and performance evaluation of the fireproof cover plate from a deep layer to a surface layer are realized.

The invention relates to the technical field of defect detection, in particular to a defect detection method and system based on a microwave frequency crystal resonator, and the method comprises the steps: forming a microwave probe through a microwave frequency crystal resonator array, placing a to-be-detected material below the microwave probe, and setting a scanning area and scanning step lengths in two directions on the surface of the material; controlling the probe to perform point-by-point scanning according to step length, and collecting a plurality of reflection coefficients of each sampling point to form an echo signal matrix; performing singular value decomposition on the matrix, applying an adjustable coefficient to a first singular value and a second singular value, and adaptively selecting an optimal coefficient according to imaging quality to reconstruct an echo signal; performing two-dimensional Fourier transform on the reconstructed matrix, constructing a spatial filter in combination with probe spacing and defect depth to perform phase compensation, performing two-dimensional Fourier transform to obtain a defect image, and performing threshold segmentation on the defect image to obtain a binary image only containing defects; and analyzing the connected regions to obtain the gravity center position of each defect and the defect area determined by the pixel number and the single pixel area. The problems of serious clutter interference, insufficient defect imaging contrast ratio, difficulty in quantitative evaluation of defect size and the like in the existing microwave detection can be solved.

The invention provides a microwave detection method and device for PE pipe hot-melting weld defects, and the method comprises the following steps: 1) taking a hot-melting weld of a PE pipe and a base material near the weld as detection objects, and carrying out axial and circumferential microwave scanning to obtain a reflection coefficient of each position point; 2) carrying out two-dimensional space Fourier transform on the reflection coefficient of each position point; 3) carrying out phase correction on the converted data in the depth direction; 4) carrying out two-dimensional space inverse Fourier transform on the corrected data to obtain a reflection coefficient of the target; 5, image reconstruction is carried out on the reflection coefficient of the target, and information of the defects in the PE pipe hot-melt welding seam is obtained.According to the scheme, the method has the advantages that the defects can be detected, the defect positions can be determined, and conclusion obtaining does not excessively depend on personnel skills.

The application discloses an online grain moisture detection device and method, which comprises a rack, a volume standard mechanism installed on the rack, a horizontal conveying belt, a baffle, a stepping motor and a plurality of partitions, the stepping motor is connected with the horizontal conveying belt and drives the horizontal conveying belt to move, the baffle is located on both sides of the horizontal conveying belt, the plurality of partitions are arranged on the horizontal conveying belt and respectively enclosed with the baffle to form closed cavities, a microwave detector is installed above the volume standard mechanism, a quantitative feeding mechanism is connected with the volume standard mechanism through a material distributing mechanism, the material distributing mechanism is arranged in an inclined mode, and a controller is connected with the quantitative feeding mechanism, the material distributing mechanism, the stepping motor and the microwave detector respectively. The application further discloses an online grain moisture detection method.

A concrete structure reinforcement corrosion detection method based on a random forest algorithm and microwave scattering parameters comprises the following steps: building a microwave detection platform, and carrying out fixed frequency sweep detection on a reinforced concrete structure to obtain S parameter data with reinforcement corrosion condition information; dividing the S parameter data into a training set and a test set; extracting frequency and S parameter data of the reinforcing steel bars under different corrosion degrees, and training the random forest algorithm model by taking the frequency and S parameter data as input features and the reinforcing steel bar corrosion depth as output features; and performing microwave detection on the reinforced concrete structure, and inputting the obtained frequency and S parameter data into the trained random forest algorithm model to obtain the corrosion depth of the reinforcing steel bar. According to the concrete structure reinforcement corrosion detection method based on the random forest algorithm and the microwave scattering parameters, prediction of the reinforcement corrosion depth is achieved, and the method has the advantage of being high in accuracy.

The present application belongs to the technical field of concrete preparation detection, and particularly relates to a concrete aggregate water content detection device, which comprises a base and a rack installed above the base. A controller is installed on the side wall of the rack. The device further comprises a through hole opened in the top of the base, a support seat slidably connected inside the through hole, and a weighing mechanism installed inside the through hole for supporting the support seat. A flat hopper is arranged above the base and located on the side of the feed end direction of the support seat. The rack is provided with an adjusting drive mechanism for driving the vertical movement of the flat hopper. A microwave detection unit is arranged on one side of the flat hopper. The present application can perform online detection of the water content of concrete aggregate, improve the detection accuracy by combining weight detection and thickness control, reduce single detection interference error by cross verification of multiple sensing data, and improve data reliability to support subsequent dynamic batching.

1. Name of the product in this design: Sensor. 2. Application of this design: To achieve automatic control of lighting fixtures by detecting human and vehicle activities or light through microwave detection, for use in tri-proof lamps, incandescent lamps, fluorescent lamps, LED lamps, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a cold welding and over-welding microwave detection method and device for a PE pipe hot-melt weld, and the method comprises the steps: carrying out the axial microwave scanning of the PE pipe weld meeting the requirements across the weld to obtain a series of reference comparison data, scanning the base metal of the to-be-detected PE pipe weld to obtain the parameters of the base metal, carrying out the circumferential scanning, and carrying out the welding of the to-be-detected PE pipe weld; the method comprises the following steps of: finding out a corresponding suspected point, axially scanning the suspected point to obtain a target data matrix for judging cold welding and over welding, solving a measurement parameter by combining a corresponding algorithm, comparing the measurement parameter with an optimal parameter of a normal PE pipe welding seam, and making a final judgment according to a comparison result. The provided device is used for guaranteeing the detection precision, and the detection method and device can accurately identify cold welding and over-welding defects, can be suitable for PE pipes of different manufacturers and different specifications, and are higher in identification efficiency.

This invention discloses a microwave detection method for wellbore rock humidity in gas drilling, comprising the following steps: S1: Establishing a near-bit annular space microwave propagation model based on the annular structure of the gas drilling well and the properties of the rock wall interface; S2: Establishing a microwave reflection coefficient calculation model for the wellbore rock wall interface based on the near-bit annular space microwave propagation model; S3: Establishing a quantitative calculation model for the change in microwave reflection coefficient of the wellbore rock wall under low humidity conditions near the drill bit, based on the microwave reflection coefficient calculation model; S4: Establishing a simulation model for microwave reflection of the wellbore rock wall under low humidity conditions based on the quantitative calculation model; S5: Performing simulations across the entire frequency band according to the simulation model to determine the most reasonable band for the microwave detection method of wellbore rock humidity in gas drilling. This invention enables effective ultra-fast dynamic monitoring of humidity changes during drilling in low humidity ranges.

This invention discloses a method for monitoring the hydration process of concrete using near-field microwaves, relating to the field of concrete forming monitoring. The invention first prepares concrete samples according to the specified method for the corresponding concrete. Then, the probe of the near-field microwave detection device is inserted 0.5-1 mm below the sample surface to obtain the resonant frequency fr, quality factor Q, phase P, and transmission coefficient S. 21 The curves corresponding to fr(t), Q(t), P(t) and S are... 21 (t); Differentiating each curve yields f'(t), Q'(t), P'(t), and S'(t); Zeros in f'(t), Q'(t), P'(t), and S'(t) represent critical points of state change during concrete hydration. Zeros in f'(t), Q'(t), P'(t), and S'(t) are determined respectively; the critical points of state change during concrete hydration are determined by averaging one or more of the curves f'(t), Q'(t), P'(t), and S'(t). Compared with existing technologies, this invention has the advantages of simple operation, low cost, adjustable detection accuracy, fast response speed, in-situ detection capability, and strong universality.

The invention relates to the technical field of feed detection, and discloses a poultry breeding feed detection device which comprises a detection box body, a throwing feeding mechanism, a pneumatic impurity removal mechanism, an impurity removal port and a microwave detection sensor, and an inclined discharge port is formed in the bottom of the detection box body; the throwing and feeding mechanism is arranged at the upper part of the side wall of the detection box body and is used for feeding the feed into the detection box body according to a motion trail similar to a horizontal throwing motion trail; the microwave detection sensors are oppositely arranged on the two side walls of the detection box body and used for detecting the water content of the feed in the throwing process. The feed is in a discretized throwing state in the detection box body through the throwing feeding mechanism, and accurate moisture detection of the feed under the condition of no background interference is realized in cooperation with the microwave detection sensor arranged perpendicular to the motion trail of the feed.

This invention relates to the field of microwave detection technology, specifically to a broadband microwave rapid detection method based on atomic level electric field tuning, which mainly solves the problem of detection limitations in traditional Rydberg atom-based microwave information detection. The broadband microwave rapid detection method based on atomic level electric field tuning includes the following steps: 1) First, a probe light and a coupling light are applied sequentially to a Rydberg atom gas cell, and then the microwave to be measured is applied to the Rydberg atom gas cell; 2) A spatial gradient radio frequency electric field is applied within the Rydberg atom gas cell; 3) The spot of the probe light is projected into an optical camera to form an image set, the pixel signals within the image set are merged, and the splitting response of the EIT-AT spectrum is observed. The electric field strength and frequency of the microwave to be measured are calculated. This invention's detection method achieves the requirement for rapid detection of random microwave signals over a wide frequency range.

The invention relates to the field of environment monitoring technology and water quality detection, and discloses a method for detecting the concentration of chloride ions in desulfurization wastewater. The detection method is based on a microwave detection technology, integrates a specific detection system of microwave sensing and precipitation reaction, only consumes a microliter sample in the measurement process, and can accurately test the content change of chloride ions in the desulfurization wastewater without complex operation; the method can realize high-sensitivity, portable and miniaturized detection of chloride ions in desulfurization wastewater, and the detection method has the advantages of complex matrix interference resistance, small sample usage amount, fast response (the detection time is less than or equal to 10s), wide detection range (the Cl <-> concentration is 100-20000 mg / L), corrosion resistance and low cost. By selecting proper precipitation reaction and measurement conditions, specific detection of different ions can be realized, and powerful technical support is provided for the fields of chemical analysis, environmental monitoring and the like.

The utility model discloses asphalt pavement disease detection equipment, which relates to the technical field of road detection and comprises a cart body, a base is mounted at the top of the cart body, a push rod is movably mounted on the base, and a handrail is fixedly mounted at one end, away from the base, of the push rod. A microwave detection device used for detecting pavement diseases is installed in the cart body, when the microwave detection device is used, the control parts are matched with the protection plates, the multiple sets of protection plates can rotate under the action of gravity and elastic force when the cart is in a non-operation state or is loosened, then the protection plates are automatically folded, and the microwave detection device is completely wrapped. According to the microwave detection equipment, the risk that the microwave detection equipment is moved, stored or impacted by hard objects in the intermittent period is effectively avoided, meanwhile, the protection plate can be driven to be opened by pulling the pull handle in the working period, the detection end of the microwave detection equipment can work, and therefore the microwave detection equipment can be effectively and conveniently protected in the working period and the non-working period.

The application discloses a kind of based on V B ‑ The quantum gas pressure sensor of color center includes gas pressure cavity, quartz plate with sample substrate, confocal scanning imaging mechanism and microwave detection mechanism with time sequence card, after being connected with the whole device of gas pressure sensor by gas pipe, measured V B ‑ The ODMR signal change of spin color center is obtained corresponding to the gas pressure intensity.The application also provides a use method.The sensor provided by the application utilizes the advantage of phonon-assisted enhancement when hexagonal boron nitride is suspended, has multiple times of photoluminescence enhancement compared with other regions, and can realize gas pressure sensing response with micron-level spatial resolution.

The invention discloses a warning lamp with a bird repelling function, and relates to the technical field of bird repelling warning, the warning lamp comprises an upper shell, a middle shell and a lower shell which are detachably connected in sequence, the upper shell is made of a light-transmitting material, a first control panel and a power supply assembly which are in signal connection with each other are arranged between the middle shell and the upper shell, and an LED light source is installed on the first control panel; a bird repelling assembly in signal connection with the first control panel is arranged between the middle shell and the lower shell. Wherein a magnet used for installing the warning lamp on external power supply equipment in a magnetic attraction mode is embedded in the bottom of the lower shell, the bird repelling assembly comprises a microwave detection module and a loudspeaker which are in signal connection with the first control panel, and the microwave detection module is used for detecting flying birds in a preset range and generating a trigger signal; the first control panel is used for controlling the LED light source and the loudspeaker to execute bird repelling warning actions after receiving the trigger signal transmitted by the microwave detection module. The bird repelling warning device solves the problem that a bird repelling warning device in the prior art is large in size.

The invention relates to the technical field of polyethylene pipeline welded joint defect detection, in particular to a non-contact variable-diameter microwave detection device and method for a polyethylene pipeline welded joint. The detection device comprises an axial movement control device, a profile support, an annular guide rail assembly and a circumferential detection device. The detection method comprises the following steps: controlling the axial moving device to enable the microwave probe and the welding joint to be coplanar; the laser transmitter measures the distance between the circumferential detection device and the detected pipeline in real time to ensure whether the two are concentric; the electric push rod changes the distance from the microwave probe to the detected pipeline as required; a hydraulic cylinder piston pushes the profile bracket to change the angle; different scanning modes such as spot scanning are executed according to different detection signals. The detection device provided by the invention has the advantages of variable diameter, quick installation, flexible and changeable detection modes, high operation portability and the like.

The application provides a flexible antenna array-based distance-measurable microwave detection system and method, which comprises a control device, a display device and a transmitting and receiving device; the control device is provided with a transmitting line and a receiving line; the executing unit of the transmitting and receiving device is a plurality of flexible antennas, each of the flexible antennas is a monopole microwave antenna, and is provided with a metal pattern etched and printed on a peripheral side, and at least one H-shaped main pattern and two rectangular auxiliary patterns, the rectangular auxiliary patterns are located in the lateral blanking areas of the H-shaped main pattern. The application has the advantages of simple structure and low cost, the device adopts the flexible combined metal pattern antenna design, reduces the equipment volume to make it portable, improves the flexible arrangement of the system in the detection aspect, and improves the detection accuracy; further, in the corresponding method, the establishment of the reference model is realized through the high and low frequency combined microwave transmission, and the abnormal area is marked on the basis, so that the high accuracy can be maintained, and the basic detection requirements after miniaturization can be met.

This invention provides a microwave leakage detection method, apparatus, electronic device, and storage medium, belonging to the field of intelligent detection technology. The method includes: acquiring microwave detection data, including the leak locations of multiple leak detection points on the object under test and the microwave leakage detection quantity detected at each leak detection point; determining the location of the microwave leakage source based on the microwave detection data; and determining the microwave leakage intensity of the object under test based on the microwave leakage detection quantity detected at each leak detection point and the leakage quantity weight of each leak detection point. This invention utilizes microwave leakage-related data obtained from multiple leak detection points to objectively determine the specific location of the microwave leakage source, and generates leakage quantity weights based on the distance relationship between the microwave leakage source location and each leak detection point. Then, the microwave leakage intensity of the object under test is determined by a weighted summation method. This effectively achieves rapid and accurate location of the microwave leakage source, improving the automation level, efficiency, and accuracy of microwave leakage detection.

The application discloses a kind of wide-area environment dynamic autonomous monitoring system based on multi-modal fusion, including mobile platform, the automatic cruise unit is installed on the mobile platform, the lower end of the mobile platform is provided with dielectric constant detection device, one side of the mobile platform is provided with microwave detection module and image capture camera, the dielectric constant detection device, microwave detection module and image capture camera are connected with main control module, the detection mechanism can be autonomously moved in the indoor environment to be detected by using SLAM technology, to prevent the generation of detection dead angle.Simultaneously, the application adopts novel microwave detection and dielectric constant detection, which improves the accuracy of detection, and can feed back the material of impurities, so as to facilitate the cleaning personnel to carry corresponding equipment for cleaning.

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 utility model belongs to the technical field of tobacco leaf production, and discloses a tobacco leaf moisture detection device. The tobacco leaf moisture detection device comprises a sampling structure, a weight detector, a microwave moisture detector and a console, the console is in signal connection with the sampling structure, the console can control the sampling frequency and the sampling amount of the sampling structure, the sampling structure places a tobacco leaf sample in the weight detector, the microwave moisture detector emits microwaves, and the microwave moisture detector emits the microwaves. And the microwave can penetrate through the tobacco leaf sample in the weight detector. The control console and the sampling structure are arranged to achieve automatic sampling, the weight detector is used for measuring the mass of a tobacco leaf sample taken every time, the tobacco leaf moisture content is measured in a microwave detection mode, microwave moisture detection can penetrate through the surface of the tobacco leaf sample, and the accurate tobacco leaf moisture content is calculated according to microwave signals and the tobacco leaf mass. The moisture content calculation error caused by inaccurate quality of the tobacco leaf sample sampled each time is avoided, the detection accuracy is improved, and data guarantee is provided for tobacco leaf production and processing.

The utility model discloses a coal mine pedestrian non-driving alarm locking system. Comprising a mining flame-proof and intrinsic safety type computer, a mining intrinsic safety type wireless call alarm infrared camera, a mining flame-proof and intrinsic safety type language alarm, a mining intrinsic safety type infrared microwave mobile detector, a mining intrinsic safety type wireless dual-mode base station, a UWB positioning card, a mining flame-proof and intrinsic safety type power supply and a mining flame-proof and intrinsic safety type direct-current stabilized power supply. The dual-mode base station is composed of a UWB base station and a WIFI base station. Through the UWB positioning technology, the infrared camera shooting detection technology and the infrared microwave detection technology, multi-means safety alarm is realized, personnel can be accurately detected, and the detection precision is improved, so that the safety alarm accuracy is improved, and safety accidents caused by human factors are reduced.

The invention provides a vibration monitoring method and system based on microwave probes, and relates to the technical field of vibration monitoring, and the method comprises the steps: a microwave detection array is arranged along the circumferential direction of the root of a wind power generation blade, each microwave probe comprises a microwave emitter and a microwave receiver, and the microwave probes are annularly distributed and arranged at a fixed interval theta; under the static state of the blade, the microwave detection array is controlled to emit linear frequency modulation microwave signals to the surface of the glass fiber reinforced plastic composite material, reflection echoes are received, and the initial phase of each probe in the corresponding state is recorded. According to the method, the microwave detection array and the sparse reconstruction algorithm are fused with phase and time difference dual-mode measurement, multi-directional vibration high-precision real-time monitoring and intelligent early warning of the wind driven generator blade in a complex environment are achieved, and the fault recognition efficiency and the equipment safety are improved.

The invention discloses a microwave amplifier output power detection method and device and a medium, and relates to the technical field of microwave detection, and the method comprises the steps: initializing a microwave amplifier and locking working conditions, generating a detection disturbance control sequence and a switching trigger pulse sequence, generating a dual-state mark and executing direction self-checking, and generating a dimension calibration relation; converting the drain current sequence and the temperature sequence through a dimension calibration relation, generating a dual-state mean value sequence, and obtaining a current steady-state threshold value and a temperature steady-state threshold value; constructing a current time window, calculating a dual-state mean value of the current time window, generating a steady-state judgment value, and obtaining a mismatch strength estimator; branch processing is executed, output power is calculated in a steady state, the output power is kept in an unsteady state, and dimension calibration relation updating is executed when a dimension calibration relation updating trigger condition is met, so that double-state response is clear, disturbance can be identified, working point drift is restrained, and transient disturbance of an amplitude stabilization purpose interface and a protection purpose interface is reduced.

The invention discloses a multi-mode monitoring method and system for accumulated dust of a dust removal pipeline, and relates to the technical field of accumulated dust monitoring. The monitoring method comprises the following steps: measuring a microwave characteristic value by using a microwave detection module, obtaining an optical characteristic value by using an optical auxiliary module, estimating an equivalent density rho by using a density estimation method based on the microwave characteristic value and the optical characteristic value, and calculating a deposition equivalent mass M based on the equivalent density rho, and the deposition equivalent mass M is a quantitative index capable of more accurately reflecting the dust deposition working condition, and can provide judgment on special working conditions such as caking, dust deposition loosening and local blockage, so that the method can adapt to the complex dust conveying working condition to accurately quantify dust deposition information, and is beneficial to accurately realizing risk assessment and providing maintenance suggestions. Moreover, a multi-mode monitoring means facilitates self-diagnosis and self-calibration, and is beneficial for avoiding the situation that a single means affects dust retention information feedback due to material characteristics, environmental changes and the like.

The utility model discloses intelligent detection equipment for the moisture content of wood. The intelligent detection equipment comprises two transmission devices and a detection device, wherein the two transmission devices are correspondingly mounted end to end; the detection device comprises a detection rack, an upper displacement adjusting assembly fixedly installed in the detection rack, an upper microwave detection mechanism installed on the upper displacement adjusting assembly, a lower displacement adjusting assembly fixedly installed in the detection rack, and a lower microwave detection mechanism installed on the lower displacement adjusting assembly. According to the utility model, the upper microwave detection mechanism is used for detecting the water content of the upper section of the wood, the lower microwave detection mechanism is used for detecting the lower section of the wood, the fine water content detection of each part of the wood is completed by matching with the transmission of the transmission device, and the detection data is transmitted to subsequent equipment after being processed. According to the device, the moisture content of each part of the wood can be conveniently and carefully detected in batches, the data can be read, the accuracy of subsequent operation is ensured, and the preparation in the early stage of production can be efficiently completed with low cost.

The application discloses a kind of composite insulator internal defect microwave detection system and visual quantitative evaluation method, belong to microwave nondestructive testing technical field, detection system includes vector network analyzer, computer, test piece, coaxial cable, rectangular waveguide and fixture, three-axis scanning table, scanning table controller;Evaluation method includes: using detection system to carry out cylindrical surface scanning to test piece to obtain the reflection signal of each scanning point on test piece;Reflection signal is adaptively direct wave suppression processing to obtain defect image after direct wave suppression;Defect image is processed to obtain defect image with suppressed background noise and enhanced defect region contrast;Based on high-contrast defect image, its gray histogram is used to determine threshold, image segmentation is carried out, and binary defect image is obtained;Based on binary defect image, defect position and area evaluation are carried out.The application can effectively carry out high-precision visual detection and accurate quantitative characterization to the internal defect of composite insulator, and has important application value for ensuring the smooth and safe operation of power system.

The invention discloses a microwave concrete leakage humidity detection method and system based on machine learning, and belongs to the technical field of microwave detection. The method comprises the following steps: fixing a pair of microwave antennas on the surface of a detected concrete object, transmitting microwaves with fixed frequency through a transmitting antenna, and collecting microwave reflection signals through a receiving antenna; amplitude change and phase change of a microwave signal are output from the reflected signal through an IQ mixer and serve as characteristic quantities, and then the characteristic quantities are subjected to data smoothing processing and serve as humidity regression training samples; performing supervised learning on the humidity regression training sample by using a machine learning algorithm to generate a leakage humidity prediction model; obtaining a to-be-detected reflection signal of a to-be-detected object with unknown humidity by using the microwave antenna, and carrying out regression on the to-be-detected reflection signal by using the leakage humidity prediction model to obtain target leakage data of the to-be-detected object; according to the method, the detected leakage range is greatly increased, and a foundation is laid for the further application field of a microwave detection system.