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 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.

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 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 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 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.