239results about How to "Non-destructive testing" patented technology

There is provided a non-destructive inspection device having an infrared sensor for infrared thermography inspection of a structure or surface. A rotatable reflector reflects infrared light from an inspected surface to an infrared sensor. An inspecting portion of a non-destructive device is magnetically coupled to an actuating portion of the device for concerted movement of the portions. An inspection device includes both an infrared sensor for infrared imaging and an optical device such as a camera for visible light imaging.

The invention relates to a method and a system for measuring rock optical parameters based on Terahertz time-domain spectroscopy. The method comprises the steps of: detecting a rock substrate and a rock sample, and obtaining the Terahertz time-domain waveform of the rock substrate and the Terahertz time-domain waveform of the rock sample; processing the Terahertz time-domain waveform of the rock substrate and the Terahertz time-domain waveform of the rock sample, and obtaining the absorption spectrum and the refractive index spectrum data. The method and the system for measuring rock optical parameters based on the Terahertz time-domain spectroscopy provided by the invention have the advantages that the fast and nondestructive detection can be carried out on the rock, the operation of the detection method is easy, the data processing is simple, and the repeatability is good.

A concrete reinforcement corrosion wireless testing method and a sensor belong to the field of the concrete reinforcement corrosion detecting technique. The sensor comprises a sensing part and a reading part. The sensing part is mainly a resonance circuit which comprises at least one capacitance that is connected to the two ends of the inductance coil after series-connection to the switch of the steel wire, and the switching-off and switching-on of the steel wire switch is controlled by whether the steel wire is corroded and disconnected; the reading part works with the LC oscillating circuit, according to the principle of the resonance circuit the resonance frequency of the sensing part is measured through the phase frequency characteristic curve of the impedance in order to judge whether the steel wire is corroded and broken. The invention can more accurately confirm the degree of the reinforcement corrosion and the speed by embedding sensing part at the vicinity of the electric field at the inner part of the concrete under the precondition that the concrete is not damaged, realizes the wireless transmission of the corrosion signal inside and outside the concrete, and can be applied to the detecting and evaluating of the durability of the reinforced concrete structure in the structural engineering field.

The invention discloses a method for quickly non-damage measuring the nitrogen content of tea tree, via multi-spectrum image technique, comprising that first using a 3CCD multi-spectrum image device to collect the multi-spectrum image information of correct sample, while the nitrogen content of sample (tea tree) is measured by international standard method. The obtained image is processed by silent algorism to improve image quality, and by background separation to obtain the image of object, then obtains the reflective index (character parameter) of object based on a standard reflective plate and a nominal reflective curvature. The invention uses multi-element correct algorism to build the quantitative relationship between the character parameter of tea-tree multi-spectrum image and tea-tree nitrogen content, to build a correct model, and then inputs the character parameter of multi-spectrum image of the sample into the correct model, to be tested and obtain the nitrogen content of the tea tree. The 3CCD multi-spectrum image device via a RS-232 interface is connected with an image receiving plate mounted on a computer. The invention can measure nitrogen content of tea tree quickly, accurately, non-damage and online.

The invention discloses a nondestructive testing method for absorption coefficient and refractive index of a pesticide. The method comprises the following steps of: testing nitrogen and a pesticide test sample by using a transmission-type terahertz time domain spectroscopy (THz-TDS) to obtain time domain spectrums of the nitrogen and the pesticide test sample respectively; and performing data processing to obtain refractive index spectrum and absorption spectrum of the pesticide test sample at the THz wave band of between 0 and 2.5THz, wherein the pesticide comprises chlorpyriphos methyl, baygon and fenvalerate. By the method, rapid nondestructive testing of the pesticide can be realized; and the method has the advantages of simple sample preprocessing, easiness of operation, high repeatability, simple data processing, relatively accurate testing result and the like. The method has great significance to detection of pesticide residue on fruits and vegetables by using the terahertz time domain technology based on fingerprint spectrums of the three pesticides obtained by the method.

The invention discloses a device for detecting cracks on a poultry egg shell by using a volatile matter and a method thereof. The detection device mainly comprises a computer, an activated carbon filter, a first built-in pump, a gas tank, an air valve, a material container, a switch, a gas sensor array, a second built-in pump, a data acquisition unit and an A / D converter. The data acquisition unit acquires response signals of the gas sensor array; then the signals are transmitted to the computer after being conditioned and converted through the A / D converter so as to extract a representative characteristic value in a curve of each sensor; and by taking the extracted characteristic value as a parameter and the freshness index of poultry eggs as a goal, a quadratic regression model is established to analyze the correlativity between the freshness index of the poultry eggs and a response characteristic value of each sensor. The method excludes the interference caused by subjective factors of manual operation and overcomes the shortcoming of destructive detections, thereby achieving non-destructive detection on fine cracks on the poultry eggs nondestructively and accurately.

The invention discloses a method for identifying fresh meat, chilled meat, and frozen meat based on hyperspectrum. The method comprises the following steps: (1) obtaining a zero-reflectivity hyperspectral image and a total-reflectivity hyperspectral image of a meat sample; (2) selecting an area-of-interest of the meat sample on the corrected hyperspectral image, obtaining a spectral reflectance value of the area-of-interest under characteristic wavelength, extracting a PC image with highest weight coefficient of the hyperspectral image, and calculating textural features of the PC image; (3) discriminating by adopting a first discriminant analysis model based on the Fisher discriminant; and (4) discriminating by adopting a second discriminant analysis model based on the Fisher discriminant. With the method, the robustness of a classification model is greatly improved, and the classification of the model is accurate. The invention further discloses a device for identifying fresh meat, chilled meat, and frozen meat based on the hyperspectrum, and the quality of the hyperspectral image is improved.

The invention discloses a handheld biomass measuring device, which comprises a horizontal push rod, a pressure sensor, a vertical connecting rod, a crossbeam, an acquisition module and two suspension straps. The pressure sensor is arranged between the horizontal push rod and the vertical connecting rod and used for acquiring the strength of resilience force when a crop deforms; the tail end of the crossbeam is connected with the upper end of the vertical connecting rod so that a user can hold the handheld biomass measuring device with a hand; one of the two suspension straps is hung on the neck of the user, and the other suspension strap is tied in the waist of the user, so that the horizontal push rod is kept horizontally; and the acquisition module is placed on the crossbeam and connected with the pressure sensor, a crop biomass prediction model is embedded into the acquisition module, and biomass is measured according to voltage signals of the crop resilience force acquired by the pressure sensor. The handheld biomass measuring device has the advantages of portability, quick measurement, zero damage and the like, and is particularly applicable to detecting biomass of small and medium groups of crops in small land parcels during field breeding, and measurement results are accurate and reliable.

The invention discloses a full-automatic optical fiber winding defect detection system and method and an optical fiber winding method. The full-automatic optical fiber winding defect detection system comprises an industrial camera provided with an industrial lens, a light source, a moving platform, a platform moving controller and a computer, the industrial camera and the light source are arranged on two sides of a rotating shaft wound by an optical fiber respectively, rotating of the rotating shaft is controlled by an optical fiber winding machine, the industrial camera is mounted on the moving platform which is connected with the platform moving controller, and the platform moving controller, the industrial camera and the optical fiber winding machine are all connected with the computer. The full-automatic optical fiber winding defect detection system and method realizes a function of realtime and automatic detection of defects in the process of winding the optical fiber. The optical fiber winding method coordinates and cooperates with the optical fiber winding machine, full automation in winding the optical fiber can be realized, and production efficiency is high.

A multispectrum image diagnosis system of rape nitrogen nutrition is prepared as connecting one end of 3CCD multispectrum shooting unit to rape canopy multispectrum image information and calibration board multispectrum image information and setting another end with two interfaces as one being connected to computer serial interface through RS ¿C 232 interface and another one being connected to image receiving board through digital image collecting line, connecting output end of image receiving board to computer. The method for diagnosing rape nitrogen nutrition with multispectrum image is also disclosed.

The invention discloses a method for quickly and non-destructively detecting variety, sugar degree and acidity of an apple, and belongs to the technical field of food detection. The method disclosed by the invention comprises the following steps: acquiring a near infrared spectrum of an apple sample, and simultaneously, respectively detecting the sugar degree and the acidity of the apple through a handheld refraction sugar degree meter and a pen type pH meter; then, performing dimension reduction processing on the pre-processed apple spectrum data with a principal component analysis method, and optimizing by using a genetic algorithm; finally, classifying with a BP neural network method, and finally, determining an optimal prediction model through repeated verification. According to the BP neural network-based prediction model established by the invention, the variety, the sugar degree and the acidity of the apple can be predicted very well. In a conventional method, the apple is required to be damaged, so that the conventional method is destructive detection; moreover, the sugar degree and the acidity are required to be detected respectively; the variety of the apple cannot be detected through a suitable method. The method has the advantages of non-destructiveness, quickness, low cost, no sample pre-treatment, no chemical reagent, no pollution and the like; moreover, the variety, the sugar degree and the acidity of the apple can be predicted simultaneously.

The invention discloses a device for measuring three-dimensional distribution of residual stress in a metal microstructure, which comprises an X-ray generating system, a microdiffraction and light path guide system, a work system, a detection system, a computer and a control system; the X-ray generating system generates X-rays with short wavelengths; the X-rays irradiate on points to be measured on a metal microstructural sample to be measured in the work system through the microdiffraction and light path guide system; then the X-rays enter the detection system through the microdiffraction and light path guide system after being subjected to diffraction by the sample; the detection system receives the X-rays entering the detection system for detection and sends obtained detection data to the computer; the computer takes analysis process on the received detection data to obtain residual strain and residual stress data of the point to be measured of the metal microstructral sample and take error analysis and parameter amendment; and after the test for the current point is finished, the computer sends a command to the control system for changing the detection point of the sample. According to the invention, the three-dimensional distribution of the residual strain and the residual stress in the penetrating range of the X-ray in a metal microstructure can be measured automatically and factually in a lossless way; therefore, the device provided by the invention is efficient and lossless and is convenient to operate.

The invention discloses a digital graphic technology-based method and a digital graphic technology-based device for analyzing a leaf area. The method comprises the following steps: circling an enclosed measurement area with a color on a measurement plate, and taking the region in the measurement area as a measurement region; marking a calibration object with known area in the measurement region; distinguishing the color of the measurement area, the color of the calibration object and the color of a leaf to be measured; putting the leaf to be measured near the calibration object in the measurement region for imaging to acquire a complete digital photo of the measurement region; reading RGB values of color models of the color of the measurement area, the color of the calibration object and the color of the leaf to be measured; and traversing the digital photo image, and according to the calibration object and the leaf to be measured marked by the RGB values, counting pixels occupied by the calibration object and the leaf to be measured in the digital photo and calculating the area of the leaf to be measured. The leaf area analysis method can quickly complete image analysis of a plurality of leaves to be measured at one time; and the measurement accuracy is high and the subsequent workload is small.

The invention discloses a potato quick nondestructive testing and automatic grading device and method. The automatic grading device comprises a climbing roller shaft conveying device, a transverse conveying belt and a grading output device; and the climbing roller shaft conveying device, a soil removing conveying device, the transverse conveying belt, a longitudinal conveying belt and a grading output device are sequentially connected, and a light sorting device is arranged between the longitudinal conveying belt and the grading output device. By means of the potato quick nondestructive testing and automatic grading device and method, the four-eye stereoscopic vision technology is adopted, and a computer vision hardware system for potato external quality nondestructive testing is built according to three indexes including the weight, the potato shape and the external defect; after the potatoes are subject to outer surface cleaning, external characteristics of potatoes are restored through the four-eye stereoscopic vision technology, defective and abnormal potatoes are screened out, then the different potatoes are conveyed into corresponding grading boxes according to the mass of the potatoes, and potato quick, real-time, objective and nondestructive testing and grading are achieved.

The invention discloses a device and a method for detecting water content of fresh tobacco leaves. The device comprises a detection box, a first electrode plate, a second electrode plate, a frequency measuring device and a computer, wherein the detection box is internally provided with an SAW (Surface Acoustic Wave) harmonic vibration detector and a stabilized voltage supply; the stabilized voltage supply is electrically connected with a power supply end of the SAW harmonic vibration detector; two detection ends of the SAW harmonic vibration detector are electrically connected with the first electrode plate and the second electrode plate respectively; the output end of the SAW harmonic vibration detector is electrically connected with the input end of the frequency measuring device; the output end of the frequency measuring device is electrically connected with the computer. With the method, the fresh tobacco leaves to be detected are detected through the SAW harmonic vibration detector, a characteristic value M is obtained after nonlinear stochastic resonance processing of frequency of output signal of the SAW harmonic vibration detector, and the characteristic value is substituted into a forecast formula of proportion of the water content to calculate and obtain the water content of the fresh tobacco leaves. According to the device and the method, the water content of the fresh tobacco leaves can be quickly and accurately detected in a lossless manner.

The invention provides a detection method of human plasma surface enhanced raman spectroscopy by integrating main component analysis; the method comprises the following steps that: a human plasma sample in physiological conditions is obtained, and is reduced by hydroxylamine hydrochloride to prepare silver sol; the silver sol and the human plasma sample are uniformly mixed by equal volume and incubated for 2h at 4DEG C, to measure the plasma surface enhanced raman spectroscopy; the measurement to the plasma surface enhanced raman spectroscopy can also adopt laser in different polarization states to excite the human plasma sample; and a plasma surface enhanced raman spectroscopy database is built, and the scattergraph distribution corresponding to the surface enhanced raman spectroscopy of different human plasma is obtained by integrating main component analysis. The detection method ensures the activity of biomolecules in the plasma, and has the advantages of simplicity, fastness and strong reliability. In addition, an SERS technology enables the sample to obtain very strong raman spectroscopy signals at very low laser power, so that the repeatability of the spectrum signals is good, thereby preventing carbonation and damage of high-power laser to the biological sample.

The invention discloses a rapid nondestructive detection apparatus of the vacuum degrees of containers. The apparatus comprises a conveyer, a detection module, a control processing module and a rejecting device; the conveyer is used for conveying a container to be detected; the detection module is used for enabling the container to be detected to emit an electromagnetic pulse signal, and picking a sound generated by the electromagnetic pulse signal; the control processing module is used for processing sound data to obtain the examination data of the container to be detected, and compares the examination data with qualified standard data to determine that whether the vacuum degree of the container to be detected is qualified or not; and the rejecting device is used for ejecting defective containers. The invention also provides a rapid nondestructive detection method of the vacuum degrees of the container. The apparatus and the method can realize the accurate, rapid and nondestructive detection of the vacuum degrees of the containers of canned and bottled food beverages in the production line, and the rejection of defective containers.

The invention discloses a method for nondestructive testing of the polyphenol content in waxberries based on a near-infrared hyperspectral technique. The method comprises the following steps of: collecting fresh waxberry samples of different varieties, performing spectrum scanning by using a near-infrared hyperspectral imaging system, and collecting 900-1700nm near-infrared hyperspectral images to obtain sample set spectra; testing the polyphenol content in the waxberry samples by a Folin-phenol method; and establishing a correcting model by applying a partial least square regression (PLSR) method to obtain an optimal prediction model of the polyphenol content in waxberries. By means of the near-infrared hyperspectral imaging technique, the polyphenol content in waxberries can be detected nondestructively, efficiently and quickly.

The invention relates to a polarization imaging nondestructive detection semi-automatic device. The device is characterized by comprising a laser, a polarization detection system, a light path transmission system, an object stage, a detection system and a calculation processing system; the laser beam emitted by the laser sequentially passes through the polarization detection system, the light path transmission system and the object stage; the laser beam can generate secondary harmonic signal light and fluorescent signals when irradiating the sample on the object stage, then returns to the light path transmission system and the polarization detection system, and arrives at the detection system; the detection system and the light path transmission system are controlled by a computer; and the polarization detection system and the object stage are controlled manually. The device can rapidly and nondestructively detect materials with birefringence effect, such as wafer, biological tissues and plants in real time, and can obtain high-resolution and high-contrast images and the intensity and direction of the images.

The invention relates to a cloud traditional Chinese medicine quality detection system of a multi-wavelength LED (light emitting diode) fluorescence spectrum and a method. The system is composed of a detecting terminal, a data acquisition and control system, and a cloud server for data processing. The detecting terminal acquires the fluorescence spectrum signal of a traditional Chinese medicine, the data acquisition and control system controls the detection process, and the cloud server performs principal component analysis and quality factor analysis on the traditional Chinese medicine, and generates traditional Chinese medicine quality information. The detection system and the method provided by the invention are nondestructive and accurate detection based on a fluorescence spectrum, the cost is low, and the detection efficiency is high.

The invention relates to a detection method and system for alcohol content in a human body on the basis of a near infrared spectrum. The detection system comprises a light source, an optical fiber probe, a data processing module and a digital display module. According to the quantitative relationship of the near infrared absorption spectrum of the group of keys, such as C-O, C-C and the like of an alcohol molecule and alcohol content, an alcohol reflection spectrum in skin and blood is detected by an optical sensor probe; and after the alcohol reflection spectrum is subjected to wavelet analysis and noise removal, a quantitative relationship between the spectrum characteristic of the human body alcohol and the alcohol content is built, and a partial least square (PLS) correction model is built so as to achieve the purpose of detecting the alcohol content in the human body.

The invention discloses a portable soil water content ultrasonic testing device and a testing method. The device comprises a detection probe and a height-adjustable bracket, wherein the height-adjustable bracket comprises a screw rod, an optical axis guide rail, a square hole array oblique inserted metal plate, a horizontal base, a spring snap joint and a support platform; the detection probe is arranged on a slide block; the slide block is arranged on the support platform; the detection probe is capable of horizontally moving along the support platform; the horizontal base and the square hole array oblique inserted metal plate are formed into a fixed inclined angle and are connected with each other through the spring snap joint; the spring snap joint is matched with a square hole of the oblique inserted metal plate and is used for adjusting the depth of the oblique inserted metal plate inserted into the soil; and a temperature sensor is arranged on the oblique inserted metal plate. The portable soil water content ultrasonic testing device utilizes double parameters, namely, sound velocity and echo amplitude, to measure the water content of the soil, has the characteristics of high repeatability and complementary calibration, is low in cost and is high in precision.

The application discloses a method and apparatus for detecting chip bonding conditions of a printed circuit board. The method comprises the steps of outputting a first level alone to an x-th PIN port of a printed circuit board to be detected by using a first GPIO port; reading out second levels of a y-th PIN port of the printed circuit board to be detected separately by using a second GPIO port connected with a pull-up resistor or a pull-down resistor, wherein y>x; and when the second levels are equal to the first level, determining a short circuit between the y-th PIN port and the x-th PIN port, and when neither of the second levels is equal to the first level, determining no short circuit between the y-th PIN port and the x-th PIN port, until the determination of all the short circuit situations among the PIN ports is completed. The method and apparatus can quickly detect the chip bonding conditions of the printed circuit board to be detected in a non-destructive manner and position the specific location where a short circuit occurs after the chip bonding, thereby facilitating the summarizing of causes of insufficient bonding of the printed circuit board and improving the product yield.

The invention provides an online detection device and method for the physical property change of a fruit and vegetable drying process. The device consists of a stereoscopic visual detection apparatus,a dynamic weighing apparatus, a drying apparatus for drying treatment of materials, an electronic control unit and a computer. The stereoscopic visual detection apparatus is located above the dryingapparatus, and includes a light source box, and a left camera, a right camera, a camera fixed plate, adjusting units and strip light sources that are disposed in the light source box. The dynamic weighing apparatus includes a weighing sensor and two vertical support rods, the top ends of the support rods stretch into a drying chamber and are fixed to a pallet pedestal, and the bottom ends are in connection with the dynamic weighing sensor. The device and method provided by the invention can achieve online detection of the water content, shape, color and three-dimensional shape change of fruitsand vegetables under different drying processes, and provide theoretical guidance and detection basis for optimization of the hot air drying process.

The present invention discloses a transferable calculation meat quality near infrared detection method and device, which are capable of non-destructively and rapidly detecting meat quality. The device comprises a micro-spectrometer, a mobile terminal and a server; the mobile terminal is connected with the micro-spectrometer and the server, and is used for collecting spectral data of a meat sample, and determining the establishing position of a quality prediction model, the quality prediction model can be established according to the determined establishing position of the quality prediction model on the basis of meat sample spectral data stored in advance in the mobile terminal and corresponding quality data, the meat sample spectral data, which is collected by the mobile terminal, is used as input of the quality prediction model, the output of the quality prediction model is determined as the quality data corresponding to the collected meat sample spectral data, and the establishing position includes the mobile terminal or the server.

The invention relates to a method for representing a residual stress of a film. The method comprises that a sample wafer of a film / substrate structure is used, a laser is controlled to emit a burst-pulse laser beam of certain frequency and energy, a linear laser beam is gathered in the surface of the sample wafer, and the surface of the sample wafer generates surface supersonic waves; a piezoelectric transducer carries out detection and collects discrete time-domain voltage signals; an experimental dispersion curve is obtained; modeling is carried out, and a theoretical dispersion curve of a film / substrate model in a residual-stress-free state is obtained; and the experimental dispersion curve is compared with the theoretical dispersion curve, a residual stress magnitude sequence of films of sample wafers is determined qualitatively. The residual stress of the film can be detected rapidly and losslessly.

The present invention is a gas turbine engine turbine blade comprising an airfoil section having at least an exterior surface, a platform section having an exterior surface, an under platform section having an exterior surface, and a dovetail section having an exterior surface. The blade further comprises a corrosion resistant coating on a surface of a turbine blade section selected from the group consisting of the exterior surface of the under platform section, the exterior surface of the dovetail section, and combinations thereof, the corrosion resistant coating comprising a particulate corrosion resistant component comprising from about 5 weight percent to about 100 weight percent corrosion resistant non-alumina particulates having a CTE greater than that of alumina particulates and balance alumina particulates, and a binder component. The present invention also includes methods for making such a gas turbine engine blade.

The invention discloses a method for recognizing pesticide residues on skin of cucumbers based on near infrared spectroscopic analysis and belongs to the field of pesticide residue detection. The method is characterized by comprising the following steps: a, sample preparation; b, spectral data acquisition; c, dimensionality reduction of principal component analysis spectral data; d, spectral dataclassified recognition of a supporting vector machine: S1, generating 150 sample data of a training set and 90 sample data of a testing set; S2, carrying out normalization processing; S3, selecting aGaussian radial base core function to establish a supporting vector machine model; S4, acquiring the supporting vector optimum model of the optimum parameter C and the optimum parameter g by means ofa grid search and cross verification method; and S5, recognizing the normalized training set data by applying the supporting vector machine optimum model, separately, and predicting the testing set data which are normalized. The method can be used for identifying the pesticide residues of different concentrations on skin of cucumbers in a classified manner quantitively, and is high in detection precision.