116results about How to "Fast NDT" patented technology

The invention discloses a system capable of rapidly detecting fruit and vegetable freshness. The system comprises an image acquisition module, an information processing module and a result output display module, wherein the image acquisition module comprises a spectrometer, a light source and an area-array camera, the spectrometer is used for emitting lights with certain wavelength, the area-array camera is used for shooting a spectral image, the light source is used for lighting, the image acquisition module is used for acquiring image information of food and transmitting the image information to the information processing module, a fruit and vegetable freshness database is built in the information processing module, and the information processing module compares the received image information with the fruit and vegetable freshness database and provides a result for the result output display module to be displayed after the result is obtained. Compared with the prior art, the system disclosed by the invention has the advantages that a spectrum technology is adopted for carrying out freshness detection on fruits and vegetables in a refrigerator, rapid non-destructive detection can be carried out on the fruits and vegetables in the refrigerator, a detection result is fed back to a user, the result is accurate, and speediness and convenience are realized.

The invention discloses an experimental method for saturated shale pore fluid separation and saturation degree calculation. The method includes the steps that firstly, separation of movable water in saturated shale is carried out through two times of a high-speed centrifugation method, and then a vacuum gradient heating experiment is added to separate capillary bound water and clay bound water in pore fluid. In the whole process, by carrying out contrastive analysis on change rules of a core weight and residual fluid nuclear magnetic resonance relaxation time T2 distribution frequency spectrum obtained after each step is completed, the saturation degrees of the movable water in saturated core pores, the capillary bound water and the clay bound water are obtained, and the saturation degree distribution of the movable water in crack space and pore space is obtained. The nuclear magnetic resonance core analysis technology is further used for calculating the storage percentage of the movable water in shale cracks and large pores, and reference is provided for evaluation of seepage space of a shale reservoir.

The invention provides an ultrasonic guided wave testing method aiming at the angle steel of an electric steel tower, which belongs to the field of ultrasonic guided wave testing. The testing method is mainly and technically characterized by comprising the steps of: selecting an ultrasonic flaw detector, an ultrasonic guided wave probe and a reference block, and manufacturing an artificial defective groove on the reference block; manufacturing a distance-amplitude curve by the reference block; polishing a smooth probe movement area on the surface of the angle steel to be tested and coating a coupling agent; using the ultrasonic guided wave probe to transversely move along the probe movement area for scanning; and judging whether the angle steel to be tested is qualified or not according to the relationship between the echo signal amplitude and the distance-amplitude curve. The testing method uses the ultrasonic detector by matching with the special ultrasonic guided wave probe for exciting the ultrasonic guided wave with designated mode, is used for the nondestructive testing of the angle steel of the electric steel tower, is characterized by simpleness, fastness, safety and reliability, and has great significance in ensuring the safe and stable operation of the electric steel tower and power transmission lines.

A method of utilizing metal magnetic memory detection signal to diagnose welding crack of piping includes analyzing magnetic memory signal obtained by metal magnetic memory detector by applying Morlet wavelet function to decompose it to be detail part and large scale approximating part, carrying out discrete Fourier transform on detail part of said signal, carrying out delivery operation on transform amplitude value for obtaining K value and making decision scale be Ko, confirming that crack is on stress concentration position of detected section if K is not less than Ko, or otherwise not.

The invention discloses a three-dimensional sub-wavelength metal cavity structure spectrum multi-tape light perfect absorption plasmon sensor as well as a preparation method and application thereof. The sensor is composed of a flat seamless metal film, a two-dimensional metal slit micro-cavity array and a medium film in sequence from bottom to top, wherein the thickness of the metal film layer is more than 100 nanometers so that light transmission is inhibited; and the size and shape of a cross-shaped metal block and the period of the two-dimensional metal slit micro-cavity array composed of the cross-shaped metal block can be adjusted. The preparation process is simple and developed and the performances of the sensor present multi-spectrum tape narrow line-width responses; meanwhile, the sensor has high-response sensitivity for spectrum frequency shift and spectrum intensity change, and good tunability of space selective sensing detection and a detection spectrum range; and the geometric dimension of the device structure is in a sub-wavelength range and devices are easy to integrate.

The invention discloses a multi-feature fusion-based meat freshness hyperspectral image visual nondestructive detection method, aiming at overcoming the defects that the traditional nondestructive detection method is poor in detection accuracy stability and reliability. According to the method, the technical scheme comprises the steps of a. acquiring hyperspectral reflection image of a meat sample; b. extracting the light intensity mean value, the image entropy and the average energy feature of the hyperspectral reflection image under the different wave bands; c. respectively establishing partial least squares prediction models of TVB-N, which have three features and are obtained by instrument destructive testing, and obtaining an unweighted fusion prediction model related to the TVB-N; e. acquiring the hyperspectral image of the meat sample to be tested, and inputting the image into the established unweighted fusion prediction model to obtain the TVB-N prediction results of all pixels and realize the visual detection for the decay degree and region of the meat sample. After the method is adopted, the rapid meat freshness visual detection can be realized under the condition that most meat samples are not damaged; the method has the advantages of being simple, rapid in speed, high in prediction accuracy and good in robustness.

The invention provides a non-contact component detection system and a non-contact component detection method for powder. The system comprises a lens hood, a laser line light source, a two-dimensional translation stage, beam splitting optical filters, a lens, a high-pass optical filter, a Raman spectrometer, a CCD (charge-coupled device) and a processor, wherein the lens hood is used for ensuring a dark detection environment; the laser line light source is used for emitting linear laser; the two-dimensional translation stage is used for placing a sample, and moving the sample in a two-dimensional direction to realize dynamic linear laser scanning on the whole surface of the sample; the beam splitting optical fiber is used for reflecting the linear laser to the surface of the laser, and transmitting signal light from the surface of the sample to the lens; the lens is used for collecting the dynamically and linearly scanned signal light from the surface of the sample; the high-pass optical filter is used for performing high-pass filtration on the signal light; the Raman spectrometer is used for receiving the signal light obtained by the high-pass filtration to obtain a light signal; the CCD is connected with the Raman spectrometer, and is used for converting the light signal into an electrical signal, and transmitting the electrical signal to the processor; the processor is used for analyzing components of the sample according to the spectral information of the whole sample. According to the system and the method, the powder can be rapidly and nondestructively detected.

The invention discloses a portable fruit internal-quality detection device using an optical detector. The device has a box body structure, and the side face of a case is provided with a displayer. A single-chip microcomputer, a fan, a power supply, a division plate, a fruit support table and the optical detector are arranged in the case. The optical detector completely integrates a light source, a light collecting element and an electronic element, is put just below the support table and can directly detect a near infrared spectrum of fruits. The device has the advantages of simple structure, small size, good stability and convenience and fastness in detection, collects spectra in a diffuse reflection mode, and is suitable for rapid non-destructive detection on site.

The invention provides a nondestructive testing method of the content of fatty acid in peony seeds. The method comprises the steps that first, ripe peony seeds are collected and are dried at 60 DEG C to serve as samples; second, the peony seed samples are respectively placed into an automatic rotating cup of a Fourier near-infrared scanner, and are scanned for 64 times within the range from 4000 cm<-1> to 10000 cm <-1>, each sample is repeatedly loaded for three times, and the average value is obtained; third, the content, namely the chemical value, of fatty acid in each sample is determined with a gas chromatography method, and then, a mathematical model is built according to spectral values and the chemical values; fourth, unknown peony seed samples are tested with the model. With the nondestructive testing method of the content of fatty acid in peony seeds, the content of palmitic acid, oleic acid, linoleic acid and linolenic acid in peony seeds can be rapidly tested in a nondestructive mode; operation is simple and convenient, and because model building is carried out on the basis of the chemical values and the spectral values of various peony seeds, the reliable mathematical model is obtained; a prediction result is high in accuracy, the accuracy of model prediction is close to the true value of the background technology.

Disclosed in the invention is an image-fusion-based early diagnosis method and apparatus for a kiwifruit canker. The method comprises: correction and pretreatment are carried out an infrared thermal image to obtain an image I0; correction and pretreatment are carried out an RGB image to obtain an image V0; image matching and image fusion are carried out on the image I0 and the image V0 to obtain an image F; the image F is segmented by using an algorithm to obtain a fused image F1 of a plant canopy area; a plurality of groups of kiwifruit samples that include kiwifruit with cankers and healthy kiwifruit and are provided with known diagnosis results are selected, images F1 of the kiwifruit samples are collected and a canker determination model is established by using geometric parameters of the images F1 as variables; and then geometric parameters of to-be-tested kiwifruit are introduced into the determination model to carry out early diagnoses. In addition, the invention also discloses an image-fusion-based early diagnosis apparatus for kiwifruit canker. With the method, non-destructive detection can be carried out before development of leaf symptoms of the kiwifruit canker and the operation becomes convenient and rapid.

The invention discloses a quick and nondestructive testing method for a road axle load spectrum, wherein the method belongs to the field of road engineering prospection and design. The quick and nondestructive testing method is a full-section axle load spectrum which is performed without traffic interception. Furthermore representative traffic load sample data are acquired, thereby supplying traffic load data which accord with an actual traffic load condition for road surface maintenance design and preventative maintenance decision. Compared with the prior art, the quick and nondestructive testing method for the road axle load spectrum has advantages of high mounting speed, no pavement damage, high movement flexibility, effective recyclability, etc. The quick and nondestructive testing method can be used for performing axle load investigation on a designed road, thereby obtaining an actual driving load, truly reflecting pavement load condition of the road, and supplying reliable design basis for road engineering design. Furthermore the quick and nondestructive testing method has important function and meaning on prolonging service life of the pavement structure, reducing full-cycle cost of the road and promoting environment-friendly traffic transportation construction.

The invention relates to a device for rapidly and nondestructively detecting the component content of yellow rice wine. The existing detection method has the disadvantages of large time consumption, complication in operation and damage to a sample. In the device provided by the invention, after the light emitted by a light source is collimated through a lens, a modulating disk is aligned to the collimated parallel light, thereby carrying out the light intensity modulation; the collimated parallel light is split by a spectrometer which comprises an interference filter, a filter wheel and a stepper motor; the monochromatic light with the bandwidth of 10-20nm is emitted into an immersion optical fiber probe and then emitted to a detector; after the weak photoelectric signals output by the detector are amplified by an instrument amplifier and processed through a low pass filter, and the weak photoelectric signals are converted into digital signals by a converter; and the digital signals are transmitted to a digital signal processor. The device provided by the invention can be used for carrying out the nondestructive detection on conventional detection items such as the alcohol, sugar and acidity and the like in the yellow rice wine, is rapider and more friendly-environment than the conventional yellow rice wine component physicochemical check, does not need to preprocess the sample and has the advantages of good detection result repeatability and low detection cost.

A ultrasonic detection method of macrocleanness on continuous casting billet includes using multiple resolution analysis means to carry out analysis on original ultrasonic echo signal series at different frequency scope and carrying out treatment on analysis said echo signal with reasonable time frequency analysis, reconfigurating treated signal to generate signal with the same length as said echo signal series, comparing treated signal with defect judgment standard used at production unit to form planar distribution drawing of slag as per sample surface distribution.

The invention relates to a method for preparing fluorescent and magnetic resonance dual-functional nanometer super-paramagnetic particles for detecting a life system. The method comprises the following steps of: preparing Fe3O4 nanoparticles, preparing 8-[(chloracetyl)amino]quinoline, and preparing QTEPA (N-(8-quinolone)-2-[3-(triethoxysilicyl)-alanyl]acetamide); and modifying Fe3O4 nanoparticles by using QTEPA to obtain the nanometer super-paramagnetic particles. In the method, fluorescent molecules are modified onto the surfaces of the nanometer super-paramagnetic particles through silicon dioxide, so that the fluorescent molecules are concentrated on the surfaces of the particles, the fluorescent identifying actions of the fluorescent molecules on metal zinc ions are enhanced, the detection lower limit of zinc ion concentration is lowered, and the feedback functions of the fluorescent molecules on zinc ions to be detected are enhanced; on the other hand, the nanoparticles have high dispersibility in an aqueous solution, so that the application limit of the fluorescent molecules due to poor water solubility is reduced and even eliminated; and meanwhile, the nanoparticles have high superparamagnetism, so that the nanoparticles can be taken as a proper T2 magnetic resonance contrast agent.

The invention relates to a method for detecting citrus canker. The method comprises the following steps: carrying out dark adaptation treatment, obtaining fluorescence information and an RGB (Red, Green and Blue) image by using a chlorophyll fluorescence imager and an RGB camera, and computing chlorophyll fluorescence parameters, color features and textural features; distinguishing whether citrus is infected with a disease or not by utilizing a PLS (Partial Least Squares) discriminant analysis model; reading a fluorescence image of a to-be-detected citrus which is infected with the disease, analyzing and computing the area of the disease by applying a Gaussian mixture model, and realizing quantitative analysis on infecting degree. The invention also relates to a device for detecting the citrus canker. According to the method and the device for detecting the citrus canker, disclosed by the invention, citrus fruit canker in different growing periods of a young fruit period, a fruit greening period and a fruit ripening period and in different infecting degrees can be continuously and automatically detected by blending a chlorophyll fluorescence imaging technology with an RGB imaging technology.

The invention discloses an apple acidity near-infrared nondestructive testing method based on a fusion characteristic wavelength selection algorithm. The method comprises the following steps of: 1, acquiring spectral information of an apple sample mark point region, and measuring acidity data of the apple sample mark point region; 2, preprocessing the acquired spectrum; 3, performing characteristic wavelength selection by using a successive projection algorithm SPA and a competitive adaptive reweighted sampling algorithm CARS respectively, and fusing the characteristic wavelengths selected bythe SPA and the CARS; and 4, establishing a partial least squares (PLS) prediction model of apple acidity on the calibration set according to the spectrum and acidity data corresponding to the fused characteristic wavelength, and evaluating a model result on the prediction set. According to the method, the number of the selected wavelength variables and the accuracy of the established model can beconsidered, the model is simple, the detection efficiency is high, the practicability is high, an important means can be provided for rapid nondestructive detection of the acidity of apples, and thedevelopment cost of portable near-infrared instruments for specific purposes is reduced.

The invention discloses a detection method of illegal additive melamine formaldehyde resin in forage raw materials. According to the detection method, the spectrums of the forage raw materials are collected using a near-infrared spectrometer, and the spectrums are subjected to pre-treatment so as to obtain training samples; and iVISSA method sensitive on classes is adopted for waveband selection. The detection method is capable of realizing effective selection of the characteristic peaks of melamine formaldehyde resin much different from that of the other ingredients, increasing detection efficiency and accuracy. A certain amount of the training samples are selected for model construction. According to a model construction method, Entropy Weight local-Hyperplane k-nearest-neighbor (EWHK) is adopted for reference experiments, so that detection on adulterate products is realized. The detection method is capable of increasing detection accuracy, is rapid in detection, and high in stability.

An embodiment of the invention relates to a tenderness detection method and a system based on steady-state spatially resolved spectroscopy. The tenderness detection method includes steps that a multi-channel detection circuit receives light diffused from the surface of a meat sample after a light source projects to the surface of the meat sample and enters the inside of the meat sample, the multi-channel detection circuit acquires spectral data with depth information according to the light diffused from the surface of the meat sample, a computation processing device solves a steady-state diffusion equation on a uniform semi-infinite boundary condition according to the spectral data so as to acquire a reduced scattering coefficient, and finally the computation processing device predicates tenderness according to the reduced scattering coefficient. As spectral data with depth information is acquired by the multi-channel detection circuit according to light, detection of depth information of the inside of the meat sample is realized. As the tenderness is predicated according to the reduced scattering coefficient, fast and nondestructive detection to the meat sample is realized.

The invention discloses a steam-turbine generator retaining ring ultrasonic imaging testing method which comprises the following steps: A, an ultrasonic phased array testing instrument and an ultrasonic phased array transducer are connected; B, the outer surface of a steam-turbine generator retaining ring is brushed and coated with a coupling agent; C, the ultrasonic phased array transducer is arranged on the outer surface of the steam-turbine generator retaining ring for scanning, and is located by an inherent echo; D, collected reflected acoustic signals are converted into electrical signals by the ultrasonic phased array transducer, and are stored and imaged by the ultrasonic phased array testing instrument, a steam-turbine generator retaining ring workpiece contour diagram is taken, workpiece contour diagram corresponding positions are corresponding to reflected wave positions, the ultrasonic phased array transducer transmits the inherent echo with lowest amplitude, the inherent echo is increased by 10 db to use as detection sensitivity, and the defect information can be interpreted through a generated image; and E, quality of the steam-turbine generator retaining ring is assessed and recorded. The steam-turbine generator retaining ring ultrasonic imaging testing method has the advantages of capability of convenient and quick nondestructive detection of internal defects of the steam-turbine generator retaining ring, and accurateness and effectiveness.

The invention discloses a single-grain rice amylose quantitative analysis model constructing method. The method comprises the following steps: S1, collecting a plurality of parts of single-grain ricesamples of which the amylose contents are different, drying, and using the samples as a calibration set after balancing moisture; S2, collecting a near infrared spectrum of each single-grain rice sample in the calibration set; S3, respectively processing each single-grain rice sample in the calibration set as rice flour, to obtain an amylose content reference value of each single-grain rice sample, and constructing a calibration set reference value matrix; and S4, constructing a near infrared single-grain amylose model: screening a spectrum range from the near infrared spectrum obtained in thestep S2, to obtain a calibration set spectrum matrix, and performing regression correlation analysis on the spectrum matrix and the reference value matrix in the step S3, to obtain the near infraredquantitative analysis model of the single-grain rice amylose content.

The invention discloses a nondestructive testing method and device for early-stage internal diseases of pears based on acoustic vibration multi-domain spectrum and near-infrared spectrum information fusion. The detection method is characterized in that the acoustic vibration multi-domain spectrum and near-infrared transmission spectrum acquisition of early-stage disease pear fruits and healthy fruits is completed; an obtained original data set is subjected to preprocessing and feature extraction to construct an optimal feature set, then a discrimination model fusing acoustic vibration multi-domain spectrum features and transmission spectrum features is established by adopting a machine learning algorithm, and the accurate discrimination of the early-stage internal disease pear fruits is realized. By means of the mode, the method and device can rapidly and accurately detect the pears with early internal diseases, the early discovery of the internal diseases is achieved as much as possible, and the method and device have great significance in improving the commodity rate and market competitiveness of the pears and promoting rapid and healthy development of the pear industry.

The invention relates to a bimetallic material friction welding air valve detection device. The bimetallic material friction welding air valve detection device comprises a control mechanism, a swivel feeding mechanism and an ejection mechanism, wherein the ejection mechanism comprises a hydraulic pressure station, a mechanical skid platform II installed on a base seat, a hydraulic oil cylinder, a pressure sensor and an ejection head, a protruding end of a hydraulic rod at the front end of the hydraulic oil cylinder is coaxially connected with one end of the ejection head through the pressure sensor, the other end of the ejection head is connected with a detected work piece in contacting mode, a protruding end of a hydraulic rod at the rear end of the hydraulic oil cylinder is provided with a limiting device, and the hydraulic pressure station is communicated with the hydraulic oil cylinder through a hydraulic oil tube. The bimetallic material friction welding air valve detection device is convenient to operate and stable in performance, can achieve fast switching when used to detect different specifications of bimetallic material friction welding air valves, not only can detect weld strength of the bimetallic material friction welding air valves to the utmost, but also achieves simple, convenient, rapid and reliable nondestructive detection for friction welding seams, and furthermore not only saves time, labor and manpower, but also achieves the nondestructive detection, and reduces consumption, and simultaneously guarantees efficient post-welding detection, and guarantees quality of products.

The invention discloses a rapid and nondestructive meat quality detection method. The method comprises the following steps: acquiring reflection spectrums of various different microscopic structures of a meat sample to be detected by utilizing a microscopic spectrum system, and combining the spectroscopic data into a synthetic spectrum; selecting a characteristic wavelength combination which can reflect a predictive index in the synthetic spectrum by utilizing a stepwise regression method, establishing a multiple linear regression prediction model by using the characteristic wavelengths, and judging the meat quality index by using the prediction model. According to the method, the meat quality parameters can be rapidly and nondestructively detected, so that the detection means for quality of the meats in China is in line with that of the developed countries.

The invention relates to the technical field of detection methods and in particular relates to a method and a device for detecting freshness grade of shrimps based on visible / near-infrared spectroscopy. According to the spectral characteristics of shrimp products, a sparse representation classification method is organically combined, rapid nondestructive testing of the freshness grade of shrimp products is realized. The method and the device disclosed by the invention are used for detecting the freshness of the shrimp products and have the advantages of high speed, low cost and simplicity and convenience in operation, professional knowledge background of detection personnel is not needed, a detection sample does not need to be subjected to physical or chemical pretreatment or damage, the professional sensory detection personnel and the traditional lab physical and chemical analysis detection method can be replaced, the detection efficiency is improved, and the workloads of quality detection and quality control of the shrimp products can be reduced.

The invention relates to the field of hyperspectral imaging technology detection, in particular to a plum soluble solid content value detection method based on a hyperspectral imaging system. The plumsoluble solid content value detection method comprises the steps of: collecting fresh plum samples of different varieties, using a hyperspectral image acquisition system to acquire hyperspectral image of all the samples, and extracting an average reflection spectrum of the whole fruit region; measuring soluble solid content values of all the plum samples by using an ATAGO PAL-alpha digital handheld pocket refractometer; utilizing an SPXY algorithm to classify all the plum samples according to a ratio of 3:1 of a correction set sample number to a prediction set sample number, and applying a competitive adaptive reweighted sampling algorithm to select feature wavelengths; and establishing a prediction model of plum soluble solid content values by combining a spectral preprocessing method and chemometrics. The plum soluble solid content value detection method can detect the plum soluble solid content values based on the hyperspectral imaging technology quickly and non-destructively.

The invention provides a near-infrared-band hyperspectral diagnosis method for detecting the content of nitrogen in rubber tree leaves. The method comprises the following steps: 1) selecting rubber tree sample leaves; 2) collecting hyperspectral data of the rubber tree sample leaves at the near-infrared band; 3) carrying out pretreatment on the rubber tree leaf samples and then, measuring the content of nitrogen in the pretreated rubber tree leaf samples; 4) obtaining average spectrum of different hyperspectral data point selection spectroscopic data of the rubber tree leaf hyperspectral databy combining a PCA (principal component analysis) method and a K-means clustering method; 5) carrying out modeling on the average spectrum of the different hyperspectral data point selection spectroscopic data by utilizing a partial least-squares regression algorithm, and selecting an optimal hyperspectral data point selection method according to a decision coefficient of a training set adopted bymodeling; and 6) predicting the content of nitrogen in the rubber tree leaves by utilizing the established model.

The invention discloses a portable type grape sugar degree near infrared detection device and method and relates to the field of nondestructive measuring methods of farm products. The method comprises the steps that (1) to-be-detected grapes are placed onto a detection port of a near infrared sampling module; (2) an LED lamp switch is switched on, and near infrared spectral information is acquired; (3) a corresponding mathematical model is selected, and acquired spectra are processed; (4) corresponding sugar degrees are displayed on a screen. The near infrared spectroscopy is used, and rapid nondestructive testing of the sugar degrees can be completed; the spectral information acquired by a spectral acquisition port which is designed by applying the rubber soft fitting characteristic is good in quality, and the signal-to-noise ratio is high; the model linearity is good, and the detection accuracy is high; the device is small in size, high in reliability, expendable and easy to update on the basis of an embedded system; the device structure is simple, the cost is low, and the spectrum technology can be widely applied; the device is easy to carry due to the small size, suitable for many scenes, easy to popularize and suitable for sugar degree detection.

The invention discloses a method for rapidly judging the grade of base liquor of luzhou-flavor liquor based on an infrared spectrum technology. The method comprises the following steps: performing sensory evaluation on collected base liquor samples of liquor for classifying and grading by professional sensory evaluation personnel; measuring the content of main ester compounds in the base liquor samples of the liquor by utilizing a gas chromatograph; performing spectrum acquisition on the base liquor samples of the liquor by utilizing a Fourier transform infrared spectrometer; establishing a model for grade qualitative judgment of the base liquor and content quantitative identification of the main ester compounds in the base liquor based on infrared spectrum; acquiring Fourier transform infrared spectrum of the base liquor to be graded, and rapidly judging and grading the base liquor to be graded. According to the method for rapidly judging the grade of the base liquor of the luzhou-flavor liquor based on the infrared spectrum technology, the quality of the base liquor of the liquor in a conventional production process is judged and graded rapidly by establishing a high-accuracy model based on the infrared spectrum technology; the accuracy is high, the efficiency is high, and the influence caused by human factors is avoided.

The invention discloses a semiconductor defect detection method based on surface plasma wave, and is used for detecting the semiconductor surface flatness or the internal defect of a semiconductor film. According to the invention, an electromagnetic wave with frequency lower than the semiconductor plasma frequency enters a slit between the blade edge and the semiconductor to be detected so as to generate a surface plasma wave on the semiconductor surface. The surface plasma wave can be coupled into a space radiation electromagnetic wave at the slit position between another blade edge and the semiconductor to be detected so as to be received by a detector. By changing the relative positions of the blade and the semiconductor in the horizontal direction, when a surface plasma wave passes through the defective position on the surface or inside of the semiconductor to be detected, the outgoing electromagnetic wave signal correspondingly changes so that the semiconductor surface unflatness or the internal defect of the semiconductor can be detected according to the principle. Compared with the prior art, the method disclosed by the invention has the advantages of wide application range, flexibility in use, high detection precision, no damage to detection sample and the like.

The present invention relates to a shearing speckle technology for container inner wall adhesion quality detection based on an imaging optical fiber bundle. According to the method, with a polarization-maintaining light guiding optical fiber, an imaging optical fiber bundle and the existing Michelson interferometer, the adhesion quality detection on the container interior adhesion structure is achieved, and the problem that the traditional shearing speckle technology cannot detect the type of the structure is solved; and with the technology, the limitation of the Michelson interferometer on the detection area is broken through, the single effective detection area of the shearing speckle technology is increased, and the shearing speckle technology can perform the rapid large-area nondestructive detection at the short working distance.