573results about How to "Realize non-destructive testing" patented technology

The invention discloses a method and system for quick lossless evaluation on multiple indexes of freshness of fresh beef by applying a visible / near infrared spectrum technology, belonging to the technical field of lossless detection of food. According to the invention, a mathematical prediction model is established between spectral information capable of reflecting fresh beef ingredients and physical state information, and multiple indexes of the freshness of the fresh beef, and the whole detection system is constructed on the basis of the mathematical prediction model, so that the system can be used for accurately and reliably detecting multiple unknown indexes of the freshness of the fresh beef (volatile basic nitrogen (TVB-N), pH value, total bacterial count and beef color (CIE color parameters L* and a*) and the like simultaneously, and predicating the storage time of the beef; furthermore, the freshness of the beef is graded comprehensively by combining multiple indexes, so that the quick lossless detection and evaluation on the freshness of the fresh beef are realized.

The invention discloses an infrared lock-in heat wave non-destructive detection method based on image sequence processing, which is a new method for realizing infrared lock-in heat wave non-destructive detection by using computer software to process the sequence of infrared images. The method comprises the following implementation steps: using a focal plane infrared heat imager to collect the image sequence of heat wave signals, using a halogen light source modulated by sine law to excite, carrying out digital lock-in processing on heat wave signals and analysis of feature images. When the method is used for non-destructive detection, the focal plane infrared heat imager 5 is fixed on a tripod 16 and connected with a data acquisition card of a computer 11, and infrared lock-in processing software 12 based on the image sequence is used for finishing initialization and image display of the infrared heat imager. The halogen light source 6 is fixed on a special support 7 to ensure that incident light is irradiated in an area to be detected of a sample piece 2 as far as possible, a function generator 14 is connected with a light source power amplifier 13 through a signal wire 15, and light intensity of the halogen light source 6 is controlled to change by the sine law. The incident light of the halogen light source 6 is irradiated to the surface of the sample piece 2 to generate excited heat waves 4. The infrared lock-in processing software 12 based on the image sequence records reflected heat waves 3 or transmitted heat waves 1 generated on the surface of the sample piece 2, a lock-in processing module is used for extracting feature information of the heat wave signals and forming the feature images, an image processing and analyzing module processes and analyzes the heat wave feature images, and inner defect features of the sample piece 2 are extracted, so as to realize fast and accurate non-destructive detection of inner defects and damages of the sample piece 2.

The invention discloses a non-contact detection method of LED chip / wafer / epitaxial sheet, and a detection device thereof. The method comprises detecting the luminescent and electrical characteristics of the LED chip / wafer / epitaxial sheet, according to the photoluminescence of the detected device PN under the condition with the irradiation of controllable exciting light. The detection device comprises a detection control and signal processing unit which is used for processing and analyzing the signals transmitted by a light detecting unit, and a testing stand which is used for holding / moving the detected device and bearing the light detecting unit. The detection method has the beneficial effects of simultaneously realizing the non-contact and non-destructive testing of the luminescent and electrical characteristics of the LED chip / wafer / epitaxial sheet; the detection and screening of LED products is driven into the step of ''chip'' from the step of ''finished product'', which reduces the costs of the LED.

The invention discloses a nuclear magnetic resonance sensor used for the nondestructive aging resonance of an umbrella skirt of a composite insulator. The sensor comprises a permanent magnet structure and a plane radio-frequency coil, wherein the permanent magnet structure mainly consists of two cylindrical permanent magnet sheets of same specification, the two cylindrical permanent magnet sheets are oppositely and coaxially arranged, and the permanent magnet structure is used for producing a static state main field B0; and the permanent magnet structure is provided with a slide mechanism, so that the distance between the permanent magnet sheets can be adjusted so as to adapt to umbrella skirts of different thickness. The plane radio-frequency coil is formed by two spiral coils which are connected in series on a plane according to the reverse direction of the magnetic field, and the plane radio-frequency coil is used for generating radio-frequency magnetic field B1 orthometric with the main magnetic field in a target region, and detecting return signals produced by a sample to be tested. During the aging detection of the umbrella skirt of the composite insulator, the slide mechanism is adjusted to enable the sensor to clamp the umbrella skirt to be tested, so that the transverse relaxation time T2 of the umbrella skirt can be measured, and further, the aging degree of the umbrella skirt can be judged according to the transverse relaxation time T2. The open-type nuclear magnetic resonance sensor has the advantages of small volume, light weight, and convenience in engineering field detection.

The invention discloses a device for the rapid NDE (nondestructive examination) of component contents of green tea, which mainly comprises a photoelectric signal examination system and an embedded DSP (Digital Signal Processing) system, wherein the photoelectric signal examination system and the embedded DSP system are both capsulated in an outer casing. The invention can realize the NDE of routine examination items in the green tea, such as amino acid, caffeine, tea polyphenol, moisture, and the like, is rapider and more environment-friendly than the routine physical and chemical inspection of green tea components without carrying out sample pretreatment, and has good examination result repetitiveness and low examination cost.

The invention relates to an automatic detector for a welding line of a storage tank bottom plate based on wireless transmission. The automatic detector comprises a machine body, a synchronous positioning and map construction module, a wireless data communication module and a control mechanism, wherein front wheels capable of controlling steering are mounted on the two sides of the machine body; driving rear wheels are mounted on the two sides of the rack; a bottom plate is arranged at the front end of the machine body in a manner of stretching frontwards; a lossless detection mechanism is mounted on the bottom plate; the lossless detection mechanism is provided with two air coupling ultrasonic probes with adjustable positions; the two air coupling ultrasonic probes are obliquely arranged in a V shape; a laser welding line tracking device is arranged between the two probes; an infrared camera and an infrared sensor are mounted at the top of the machine body; the control mechanism is connected with the front wheels and the driving rear wheels respectively; and the synchronous positioning and map construction module, the wireless data communication module, the laser welding line tracking device, the infrared camera and the infrared sensor are connected with the control mechanism respectively. With the adoption of the automatic detector, intelligent detection and evaluation of the welding line of the bottom plate are realized, and the manual detection cost is greatly reduced.

The invention discloses a method for utilizing a laser ultrasonic wave to precisely measure a third order elastic constant of metal. The method comprises the following steps: respectively measuring wave velocities of a longitudinal wave, a transverse wave and a surface wave excited by a laser under stress-free state and stress state; utilizing the wave velocities of the longitudinal wave, the transverse wave and the surface wave measured under stress-free state to calculate a second order elastic constant and a density of metal according to a sonic elasticity theory and a Rayleigh equation; utilizing the ultrasonic wave velocities of the longitudinal wave, the transverse wave and the surface wave measured under stress state to introduce an equivalent second order elastic constant and an independently measured linear coefficient of thermal expansion; and lastly, calculating the third order elastic constant according to the sonic elasticity theory. According to the method, a pulse laser source is utilized to excite a sound surface wave, non-contact exciting is performed under a thermal elastic system and an overheated phenomenon of materials is avoided, so as to realize nondestructive measurement. A large amount of sound surface wave data spread for different distances is collected and a correlation function is utilized to calculate a wave velocity of the sound surface wave and a spread distance of sound wave, thereby greatly reducing error of arriving time value of the sound surface wave and promoting the measuring precision of a sound wave velocity.

The invention discloses a torsional vibration error monitoring method for a shaft system of a steam turbine generator unit, a monitor and a system. The method includes the steps of S1, collecting output signals of rotation speed sensors, key phase sensors and bearing base vibration acceleration sensors on the steam turbine generator unit; S2, conducting Fourier transform on the collected output signal of each bearing base vibration acceleration sensor to obtain vibration spectrum signals; S3, extracting an amplitude value in the vibration spectrum signal of each bearing base vibration acceleration sensor under the corresponding rotation frequency; S4, obtaining the types of to-be-detected frequencies and separately extracting the corresponding amplitude value and phase under each type of to-be-detected frequency from the vibration spectrum signal of each bearing base vibration acceleration sensor to serve as feature parameters; S5, on the basis of a judgment principle and the extractedfeature parameters, judging whether or not torsional vibration errors of the shaft system occur in the steam turbine generator unit. By means of the method, real-time online monitoring of the torsional vibration errors of the shaft system is achieved.

The invention belongs to the technical field of agricultural product constituent inspection and relates to the technical field of physical and chemical analysis of rice, in particular to a near-infrared inspection method for rice quality and application thereof. The method is characterized in that samples to be tested are subjected to near-infrared scanning to obtain an original wave spectrogram of light absorption values based on wavelengths; next, the original wave spectrogram is subjected to noise elimination processing and pre-processing, and characteristic wavelengths are filtered from processed spectra; lastly, the characteristic wavelengths are substituted into a prediction model of sample quality indexes to obtain near-infrared inspection values of sample quality. The rice includes unhusked rice, unpolished rice and polished rice. Inspection quality includes protein, fat, moisture, total sugar, ash content and the broken rice rate, the husking rate, the rice bran powder rate and the head rice rate of the rice. Inspection application includes rice quality prediction through the model and modification of the model. The near-infrared inspection method for rice quality and the application thereof have the outstanding advantages that the test speed is high, and the samples will not be damaged.

The invention discloses a visual inspection device and method for inspecting freshness of poultry eggs, and relates to the technical field of poultry egg processing and grading. The device is characterized in that a light source is arranged under a conveyor belt, a dark box is arranged over the conveyor belt, and the top center of the dark box is provided with an industrial camera; the light source irradiates the poultry eggs placed on the conveyor belt through a gap of the conveyor belt, and the industrial camera is connected with a computer through a data line. The method comprises the following steps: (1) capturing a poultry egg image; (2) preprocessing the poultry egg image; (3) extracting the ratio of air chamber area to whole egg area, and taking the ratio as a characteristic parameter; (4) extracting other characteristic parameters; (5) establishing a model; and (6) distinguishing freshness. The device and the method inspect freshness through machine vision, are not captious to application environments, and have good application and promotion foreground; a method never used before is used for extraction of air chamber area, and works well; an SVM (Support Vector Machine) is used for grading, and accuracy is high; and the device and the method are efficient and highly intelligent, and can realize nondestructive inspection.

The invention discloses a crop biomass nondestructive testing image acquisition and processing device and a testing method and aims at providing the crop biomass nondestructive testing image acquisition and processing device which is low in manufacturing and use costs and the testing method which is simple and convenient. The crop biomass nondestructive testing image acquisition and processing device comprises two camera height adjusting devices, a background wall, a calibration board, a lifting adjusting device, a seedling placing platform, a test bed and an image data acquisition, processing and analysis system. The image data acquisition, processing and analysis system comprises two charge coupled device (CCD) digital cameras and a computer. The camera control module of the computer is used for acquiring, displaying and storing the acquired images; and statistical analysis of the data is conducted through a biomass prediction algorithm module to finally obtain a crop biomass prediction model. The crop biomass nondestructive testing image acquisition and processing device and the testing method are suitable for the nondestructive testing of fresh biomass or dry biomass of potted crops or the biomass tracking and measurement of a single crop in the entire growth period.

The invention discloses an in-vivo nondestructive testing system for plant diseases based on an optical imaging technique. Most detection manners for plant diseases aim at disease-visible plant diseases at presents. According to the system, light signals emitted by a light source respectively enter a sample arm and a reference arm after passing through an optical fiber coupler; returned to-be-tested signal light and reference light are intervened at the optical fiber coupler; reference light signals are received by an OCT spectrograph and are input into a control computer; light emitted from axenon lamp is filtered by a narrow-band pass filter to form ultraviolet light, and the ultraviolet light is reflected into an objective lens through a dichroscope and is emitted into a to-be-tested object through an objective lens so as to emit fluorescence; the fluorescence is backtracked to a hyperspectral spectrograph to form a spectrum, and the spectrum is transmitted to a control computer; and then the control computer executes OCT structural image reconstruction on the to-be-tested object, calculates a light penetration depth, an attenuation coefficient and an image entropy, executes spectral information analysis based on a fluorescent hyperspectral image and extracts spectral characteristics. The in-vivo nondestructive testing system can meet the requirements on plant minimal lesion detection, and early-stage disease detection can be realized.

The invention discloses a full-optical laser ultrasonic measuring method for internal defects of a material. The method comprises the following steps: firstly, measuring the two-dimensional position and the size of the internal defect of a measured object on an x-y plane, and subsequently measuring the depth of the internal defect of the measured object in the z direction. By adopting the method, the three-dimensional position and the size information of the internal defect can be obtained by scanning, and the method is high in precision and efficiency, and is applicable to non-destructive detection on various materials.

The invention belongs to the technical field of circuit board defect detection, and relates to an accurate circuit board element location and detection method based on image feature. The method comprises the following steps of acquiring a picture of a to-be-detected circuit board, obtaining the acquired image of the to-be-detected circuit board and the feature points of a standard circuit board element template picture through a SURF (Speeded Up Robust Feature) algorithm; setting a rough matching threshold value T, performing feature point rough matching through a nearest neighbor matching method, and then, arranging the feature point pairs from small to large; fitting the ratio of nearest neighbor to next nearest neighbor of each arranged feature point pair through a least square method to obtain a fitted curve; performing accurate matching according to the difference between the fitted curve and the ratio of nearest neighbor to next nearest neighbor; realizing accurate location of the template picture on the acquired image; and detecting the defects of the circuit board through the template picture and the matched subpictures. According to the method, the accurate location of elements can be realized, so that detection on the circuit board elements can be realized.

The invention discloses a nuclear power station pipeline weld inner wall grinding robot, which comprises a sealing unit, a grinding unit, a driving unit, and an electric element unit. The sealing unitcomprises a first round table and a rubber sealing plate arranged on the first round table; the grinding unit comprises a rotary holder and a grinding device arranged on the rotary holder; the driving unit is used for driving the grinding unit to enter and exit a pipeline; and the sealing unit, the grinding unit, the driving unit and the electric element unit are connected in a bending way. Compared with the prior art, the nuclear power station pipeline weld inner wall grinding robot provided by the invention has the following advantages that multiple functions of automatic grinding, polishing, cleaning and nondestructive testing of a steel-made pipeline weld inner wall are realized, the problem that the steel-made pipeline weld inner wall cannot be ground is solved, a turning and climbing problem of the robot on the pipeline inner wall is solved, the problem of weld stress concentration is solved, a heat fatigue effect is eliminated, the weld quality is ensured, and the weld potential quality hazard is eliminated.

The invention employs machine vision and near infrared spectroscopy to detect appearance qualities (such as size, defects and the like) of apples and internal qualities (such as sugar content, acidity and the like). The device employs the wheel-turning way, and the pipeline detection of apples is guaranteed. Apples are driven to rotate through friction belt wheels. Then apples are subjected to all-directional detection without dead angle by four cameras. A near infrared spectrometer is employed for nondestructive testing of apple internal qualities. The device inputs and outputs signals through an industrial control computer. The industrial control computer processes images and spectroscopic data firstly, then determines grades of apples, then controls an execution mechanism to classify and process the apples. The detection procedures of apples are all on line without manual intervention. The device has high detection efficiency and is suitable for pipeline detection of apples.

The invention discloses a machine vision based whole case red grape fruit size grading device and method and relates to the technical field of group fruit grading technologies. The method comprises the steps that (1), to-be-tested red grapes in a whole case are numbered and placed on a conveyor belt; (2), the red grapes in the whole case are sent into a sealed box for image acquisition, and at the same time, a near fared image and a color image are obtained; (3) the near fared image and the color image are processed; the images are read; the images are pre-processed; the images are fused; edges are extracted; grape fruit images are cut; small areas are removed; ellipses are fitted; parameters are extracted; the ellipses are screened; a grading model is built and tested. According to the machine vision based whole case red grape fruit size grading device and method, the whole case of red grapes can be graded automatically; the grading standards are uniform, and the grading accuracy is high; the image processing technology is used, so that nondestructive testing is realized, and the testing speed is high; size nondestructive testing is realized on group objects by the aid of the machine vision technology, and the device and the method have a wide application prospect.

The invention discloses a water damage identification method based on ground penetrating radar signal time-frequency statistical characteristics. The method comprises steps: 1, a sampling road sectionis subjected to GPR data acquisition, and water damage and normal data are marked separately; 2, the signals are filtered, and water damage characteristics are determined; 3, the signals are derivedas a matrix, and water damage and normal samples are combined to build a training sample set and a test sample set; 4, time-domain and frequency-domain characteristic parameters are selected and calculated; 5, distribution statistics is carried out to find out characteristics with obvious distribution characteristics as sensitive eigenvalues; 6, the sensitive eigenvalues are normalized; 7, the sensitive eigenvalues are subjected to PCA principal component analysis for dimension reduction processing; 8, a water damage classification model is built; and 9, the well-trained model is used to identify the road water damages. The problem that interpretation of ground penetrating radar signals relies on manual experience, time and labor are consumed and the subjectivity is strong can be solved; and a large amount of information can be used to evaluate water damages, the water damage identification accuracy is improved, the built water damage classification model can be used for intelligent identification on water damages on an asphalt pavement and the efficiency of pavement defect detection is improved.

The invention discloses a detecting and imaging method and a detecting and imaging device based on broadband magnetic wave reflection path parameter identification. According to the method, broadband magnetic wave is taken as a carrier, a path through which magnetic wave reflection passes is used as a reflection channel, and electromagnetic parameter characteristics of different materials is utilized, so that the internal distribution characteristics of a detected object can be identified through inversion and fusion on transfer functions and various variable forms and lossless detection and imaging can be realized. The device comprises a detection front end for detecting generation of signals, microwave transmission and reflection magnetic wave receiving, and a signal processing back end for controlling the setting of parameters, processing of receiving signals, inversion and fusion of a magnetic wave reflection path and imaging display, wherein the detection front end and the signal processing back end are connected in a wire / wireless manner, and by using software processing, the detection accuracy is improved, and the miniaturization of the equipment is conveniently realized. According to the embodiment of the invention, coupling agents, strong magnetic fields, radioactive sources and radio frequency radiation are not needed; the method and the device have the advantages of non-contact form, high accuracy, low cost and the like, and have wide application prospect in the fields of underground pipeline detection, road and bridge detection, industry and agriculture, medicines and the like.

The invention discloses a bent steel tube ultrasonic automatic detecting system which comprises a bent tube feeding mechanism, an annular supporting mechanism and two bent tube ultrasonic detection mechanisms, wherein the bent tube feeding mechanism is composed of a set of drive retainers; each drive retainer is composed of a drive roller, a support roller, a motor mounting rack, a support roller mounting rack, a support roller guide rail rack and a drive roller mounting rack; the annular supporting mechanism is composed of an annular guide rail and two hydraulic support cylinders, and an internal gear is installed in the middle of the inner ring of the annular guide rail; and each bent tube ultrasonic detection mechanism comprises a detection servomotor, a rotation mechanism outer box body, a transmission gear, a gear shaft, a pneumatic telescopic link, a chain-type ultrasonic probe rack mounting rack and a chain-type ultrasonic probe rack. According to the method, the bent tube is fed in the axial direction, and the ultrasonic probe moves in the circumferential direction of the bent tube to perform the full surface flaw detection so as to implement ultrasonic automatic flaw detection on the large-diameter bent steel tube, thereby effectively enhancing the accuracy and efficiency of the bent steel tube nondestructive flaw detection and lowering the detection labor intensity of the workers.

The invention belongs to the technical field of agricultural product quality analysis, and particularly relates to a near-infrared detection method for the peanut quality and application. The method comprises the following steps that peanut samples are collected, physical and chemical testing is performed on the peanut samples, near-infrared scanning is performed on the peanut samples, denoising processing and preprocessing are performed on obtained light absorption values, obtained preprocessed light absorption values are analyzed, near-infrared spectrum characteristic wavelengths are obtained through screening, and a prediction model of the peanut quality is built through a stepwise regression method. According to the near-infrared detection method for the peanut quality and the application, the obtained information is intuitive and reliable, the characteristic wavelengths of the peanut quality are determined and are few in number, and the analytical method that the model is built through the characteristic wavelengths is applied, so that the model precision is improved; on the condition of the same prediction precision, the prediction speed is high; meanwhile, through the built near-infrared prediction model method for the moisture, protein, fat, total sugar and ash content of peanuts, the peanut quality can be analyzed more comprehensively, and usage and popularization are easy.

The invention provides a defect detection device and a defect detection method. Probe light is emitted by a laser emitting device, and is enabled to be irradiated onto a sample to be tested, so that signal light is formed; then, the scattered light and fluorescent light, which are contained in the signal light, are separated by means of a spectroscopic device, so that the fluorescent light is incident on a first detecting device for imaging, the scattered light is incident on a second detecting device for imaging, and fluorescent image information acquired by the first detecting device and scattered light image information acquired by the second detecting device are further processed by means of a control device; therefore, the surface defect information and subsurface defect information of the sample to be tested are obtained. After the technical scheme is adopted, the non-destructive detection of the subsurface defects of the sample to be tested can be realized, and the non-destructive detection of the surface defects of the sample to be tested can be simultaneously realized, so that the reduction of the test time of the defect detection is facilitated, and the test efficiency isincreased.

A method for detecting twelve types of narcotic drugs by utilizing TH2 technique includes preparing narcotic drugs standard sample; applying TH2 detection technique to carry out detection on said standard samples and setting up standard fingerprint chart bank; utilizing standard set-up fingerprint chart bank to carry out detection on unknown matter including six types of morphine narcotic drugs, three types of ice narcotic drugs, two types of drugs controlled by the state and one type of new narcotic drugs.

The invention provides a warship hull descaling and flow detecting system which comprises a power supply system, a control system, a charging system, an energy storing system, a plasma shock wave generating mechanism, a flaw detection monitoring system, a surface flushing mechanism and an adsorbing and walking robot. When the system runs, probes of the plasma shock wave generating mechanism, the surface flushing mechanism, the adsorbing and walking robot and the flaw detection monitoring system are in underwater operation. Organisms attached to the surface of a warship hull are subjected to primary cleaning by the aid of strong sound shock waves generated from discharging of underwater plasmas, the organisms attached to the surface of the warship hull fall off or are loosened, and then the loosened attachments are cleaned by the aid of the surface flushing mechanism. The descaling effect can be detected through the flaw detecting system after descaling operation, and non-destructive detection can be performed on the surface of the warship hull.

The invention discloses a synchronous measurement device for perimeters and maximum center axis offset of cigars. The synchronous measurement device comprises a U-shaped support. Two opposite cigar clamping systems are arranged on the U-shaped support and connected with a power system. A measuring system is arranged on the bottom surface of the U-shaped support, and the power system and the measuring system are both connected with a control system. Meanwhile, the invention discloses a detection method utilizing the synchronous measurement device. With the synchronous measurement device and the detection method, detection accuracy and check efficiency can be effectively improved, nondestructive detection can be achieved, and cigar image can be greatly promoted.

The invention discloses a near infrared spectrum-based Hanfu apple quality nondestructive test method. According to the method, a sample spectrum is acquired in a characteristic wave band range, an intensity spectrum under the condition of a fiber-optic probe-a reference plate distance of 24-42mm is used as a reference spectrum, an irradiation color surface is designed according to a fruit male-female face ratio, irradiation latitude is in a range of 40 degree N-40 degree S, an area with surface features is used as a spectrum collecting point and the acquired apple reflectivity information is complete and has representativeness. Through use of a spectrum technology on a detection platform, the method realizes a Hanfu apple inner quality nondestructive test, fast analysis of a sugar degree, acidity and quality of Hanfu apples, prediction of Hanfu apple quality and direct display of a quality predicted value and has a prediction precision satisfying practical production requirements. The test platform can be operated simply, can be controlled easily and has a high detection precision. The method can be used for on-line detection grading of fruit quality.

The invention relates to a method and a device for measuring the refractive index and the thickness of an ice layer in an ICF pellet. The device comprises a light source (a laser or an LED), a beam expander, a beam splitter, a first reflector, a second reflector, a pellet to be measured, a wavefront sensor, a lens, a CCD image sensor and a computer. Through the device, an optical path is divided into two paths, and in combination with the two optical paths, the average refractive index of the ice layer is worked out on the basis of the known average thickness of the ice layer; the average thickness of the ice layer is worked out on the basis of the known average refractive index of the ice layer; therefore, the refractive index and the thickness of the ice layer of the pellet are acquired. Through the method and the device, a double-optical path system and a double-optical path method which are based on optical path difference and ray deflection are provided, and simultaneous measurement of the refractive index and the thickness of the ice layer of the ICF pellet is achieved; fast and non-contact measurement can be achieved, and the measurement accuracy is high; the refractive index distribution of the ice layer of the pellet can be acquired.

The invention discloses a method for measuring photoresist mask groove shape structure parameter, which is characterized in that TE / TM linearly polarized light which is used as incident light and the blaze angle of the measured mask which is used as incident angle are utilized to measure the spectral distribution D0 (Lambada) of the reflected light of a standard reflected slice and the spectral distribution D (Lambada) of the reflected and diffracted zero level polychromatic light of the measured mask. A comparison method is utilized to calculate actual reflected and diffracted zero level spectral distribution Rg (Lambada) of a dielectric layer raster mask. The actual reflected and diffracted zero level spectral distribution Rg (Lambada) is processed by spectrum inversion to get the groove parameter of the mask, such as the residual thickness of the photoresist, groove depth and duty cycle and so on. The method realizes the undamaged detection to the groove parameter of large area and great weight of masks, can avoid the error of the measuring system, has no special requirement to spectrograph measuring system and light source, and has simple and easy measuring method.

The invention discloses an online visual inspection device and an online visual inspection method for cracks on the surface of poultry eggs, relating to the technical field of the poultry egg processing and grading. The online visual inspection device is characterized in that an opaque chamber (2) is arranged above a conveyer belt (1), and an industrial camera (3) is arranged at the center of the top part of the opaque chamber (2); a light source (6) is arranged under the conveyer belt (1) and is transmitted to be positioned on the poultry egg (8) on the conveyer belt (1) through a gap of the conveyer belt (1); a photoelectric switch (7) is arranged at the inner side of the opaque chamber (2), the photoelectric switch (7) is connected with a single-chip microcomputer (5) by a data line, and the single-chip microcomputer (5) and the industrial camera (3) are connected with a computer 4 by data lines. According to the online visual inspection device and the online visual inspection method, the cracks on the surface of the poultry egg can be inspected by machine vision, and the online visual inspection device has good adaptability to the application environment; the single industrial camera is used for shooting the poultry egg in a multi-overturning-angle manner, the detection range is wide, the equipment cost is low, and high-efficiency and high-intelligence nondestructive examination can be achieved; and the online visual inspection device and the online visual inspection method have good application and promotion prospect.

A nonlinear ultrasonic detection method for evaluating the thermo-oxidative ageing of an organic material comprises the following steps: building an organic material thermo-oxidative ageing damage nonlinear ultrasonic detection system based on a nonlinear acoustic detection system; respectively setting corresponding parameters of an excitation signal and a reception signal, and finely adjusting the corresponding parameters of the excitation signal and the reception signal by a time domain waveform signal observed and received by an oscilloscope; selecting the optimum work frequency range of a probe according to the frequency characteristic of the ultrasonic probe, and determining the initial frequency and the ending frequency of the swept frequency range; adjusting integrator gate parameters, carrying out frequency sweeping to obtain the change rule of an supersonic wave fundamental wave amplitude and a secondary harmonic amplitude with the frequency, and storing the change rule in a computer; calculating corresponding nonlinear coefficients of all frequency points in the swept frequency range, and calculating the accumulated nonlinear effect in the swept frequency range; and determining a corresponding relationship between the accumulated nonlinear effect and the thermo-oxidative ageing time of the organic material, and assessing the existence or not and the degree of the thermo-oxidative ageing damage of the organic material.