116results about How to "Fast NDT" patented technology

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.

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 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.

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.

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.

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 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 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 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.