12results about How to "Fast NDT" patented technology

The invention belongs to the field of nondestructive testing, and relates to a terahertz composite material nondestructive testing method which comprises the following steps: S1, pretreating a to-be-tested material sample; s2, judging whether the to-be-detected material sample responds to terahertz waves or not, and if not, ending; s3, measuring the thickness of the to-be-detected material sample; s4, carrying out terahertz spectrum testing on the to-be-detected material sample, and determining a delay line range; s5, setting a delay line step length; s6, setting an imaging scanning range; s7, setting an imaging scanning step length; s8, clamping the to-be-detected material sample; s9, determining the focus position of the terahertz wave; s10, enabling the center of the to-be-seen material sample to coincide with the focal point of the terahertz wave, and carrying out scanning imaging; s11, calculating the defect depth of the to-be-detected material sample; and S12, carrying out terahertz time domain slice contrast imaging.

The invention relates to the field of non-destructive testing of aerospace composite materials, and provides a composite material detection method based on ultrasonic lamb wave filtering back projection imaging, which comprises the following steps: acquiring a lamb wave signal penetrating through a composite material; performing noise reduction on the Lamb wave signal to obtain an optimized Lamb wave signal; performing continuous wavelet transform on the optimized lamb wave signal to obtain a flight time parameter of the optimized lamb wave signal in the composite material; and based on the flight time parameter, in combination with a filtering back projection method reconstruction algorithm, obtaining an internal image of the composite material so as to detect the internal defect of the composite material. According to the method, the Lamb wave signal is combined with the continuous wavelet transform and the filtering back projection method, a high-quality composite material internal damage image with few artifacts can be obtained without baseline signal auxiliary imaging, and nondestructive testing can be effectively, rapidly and accurately carried out on the plate-shaped composite material.

The present invention discloses a device and method for acoustic vibration nondestructive detection of internal defects of magnetic tiles, which relates to the field of internal defect detection of magnetic tiles, including a base, the upper surface of which is provided with a rotating platform, a vibration touch device and a signal acquisition and processing device; a rotating platform is provided with a rotating fence; a supporting assembly for supporting the inspected magnetic tile is provided on the outer side of the rotating fence; a vibration touch device is used to output a vibration signal to the inspected magnetic tile located in the supporting assembly; a signal acquisition and processing device is used to collect the acoustic vibration signal of the inspected magnetic tile, and perform nondestructive detection on the internal defects of the inspected magnetic tile based on the acoustic vibration signal. The present invention can be arranged in the production line of magnetic tiles, and quickly perform nondestructive detection on the internal defects of magnetic tiles.

The invention relates to a tunnel construction material and a detection technology, and particularly discloses a rapid-hardening high-strength cement anchoring agent and a strength testing method thereof, the rapid-hardening high-strength cement anchoring agent comprises 50%-70% of sulphoaluminate cement, 10%-20% of silica fume, 10%-20% of desulfurized gypsum, 3%-10% of an expanding agent, 0.05%-0.3% of a composite retarder, 0.01%-0.1% of an early strength agent and 0.02%-0.1% of a defoaming agent. The strength test method is a piezoelectric impedance detection method based on a lead zirconium titanate transducer, the sensor embedded with the anchoring agent in advance is used for generating harmonic excitation and receiving piezoelectric signals, the piezoelectric signals are analyzed by a neural network, and the strength of the anchoring agent is obtained. The invention provides a high-performance anchoring agent and a solution for accurately monitoring the strength of the high-performance anchoring agent by combining an innovative quick-hardening high-strength cement anchoring agent and an advanced piezoelectric impedance testing technology. And non-destructive and real-time intensity change process monitoring is realized, and the comprehensive requirements of modern engineering on speed, intensity and environmental friendliness are met.

This invention discloses a rapeseed quality detection method based on feature wavelength optimization and multi-model fusion. The method involves collecting full-band near-infrared diffuse reflectance spectral data of rapeseed samples and simultaneously measuring the true values ​​of physicochemical indicators to construct an original dataset. Based on the data distribution characteristics of each physicochemical indicator, the original dataset is divided into a training set and a test set. Preprocessing algorithms are selected for each physicochemical indicator to process the full-band near-infrared diffuse reflectance spectral data. Dimensionality reduction algorithms are selected for each physicochemical indicator to extract feature wavelengths from the preprocessed spectral data. Predictive models for each physicochemical indicator are established based on the training set, and the performance of the predictive models is verified using the test set to determine the optimal algorithm combination for each physicochemical indicator. The variable importance projection algorithm is used to calculate the comprehensive contribution score of each wavelength point in the full-band spectrum to the four physicochemical indicators. A multi-indicator comprehensive threshold is set, and the core light source wavelength of the portable device is determined from the high-score region.

A one-dimensional photonic crystal parameter measurement method based on transmission Goos-Haenchen shift is characterized by comprising the following steps: S1, measuring light spot position information of transmission TM polarized waves of a one-dimensional photonic crystal by using a transmission Goos-Haenchen shift measurement device; s2, according to the light spot position information, obtaining an incident wavelength-transmission Goos-Haenchen shift relation curve of the one-dimensional photonic crystal, and calculating to obtain transmission Goos-Haenchen shift under TM polarized waves; s3, establishing an evaluation function of parameters of the one-dimensional photonic crystal structure, substituting the transmission Goos-Haenchen shift, the substrate parameters and the film refractive index information into the evaluation function, carrying out inversion calculation, taking the cycle number of the one-dimensional photonic crystal and the thickness of each layer in the cycle as decision parameters, and judging the accuracy of a solution according to the size of the evaluation function. And obtaining a structural parameter vector a of the one-dimensional photonic crystal when the evaluation function is minimum. The method has the effect that the one-dimensional photonic crystal on any substrate surface can be quickly and nondestructively detected.

The utility model discloses a multispectral bamboo quality detection system, including frame, feeding unit, light source unit and multispectral camera unit, the frame is provided with camera obscura structure, the feeding unit is provided on the frame and located in the camera obscura structure, the image acquisition area is provided on the feeding unit, the light source unit is provided on the frame, and the multispectral camera unit is provided on the frame and located in the camera obscura structure. And the multi-spectral camera unit is arranged in the camera obscura structure and located above the feeding unit, and the multi-spectral camera unit is arranged on the rack, located at the center of the top of the camera obscura structure and located over the image acquisition area. The bamboo quality evaluation device can effectively solve the problems that quality evaluation before bamboo processing mainly depends on manual work and bamboo bending is not easy to detect at present.

The invention discloses a tea oil quality detection device based on a colorimetric sensor array and an identification method. The tea oil quality detection device comprises a box body, and the box body is divided into an upper box body, a first lower box body and a second lower box body; a heat dissipation device and an integrated control and decision-making system are arranged in the two sides of the upper box body, and an image acquisition device is arranged at the bottom end of the upper box body; a positioning partition plate is arranged in the second lower box body, a reaction chamber is arranged on the positioning partition plate, and a heating device is arranged at the lower end of the reaction chamber. Wherein the reaction chamber comprises a sample chamber and a bracket, a colorimetric sensing array is arranged in the bracket, the bracket and the glass cover plate are hermetically connected with the sample chamber to form the reaction chamber, and the colorimetric sensing array forms a sensor. According to the tea oil quality detection device, rapid and lossless detection of adulteration of camellia oleifera seed oil can be achieved, the detection efficiency is improved, the cost is reduced, meanwhile, the detection accuracy and reliability are guaranteed, and the method is easy and convenient to operate, visual in result and suitable for popularization and application. The types of adulterated oil in the camellia oil can be effectively and rapidly detected.

The invention discloses an acoustic vibration nondestructive testing device and method for internal defects of a magnetic shoe, and relates to the field of internal defect detection of the magnetic shoe, the acoustic vibration nondestructive testing device comprises a base, the upper surface of the base is provided with a rotating platform, a vibration touch device and a signal acquisition and processing device; a rotating enclosing wall is arranged on the rotating platform; the outer side of the rotating enclosing wall is provided with a bearing assembly used for bearing a detected magnetic shoe. The vibration touch equipment is used for outputting a vibration signal to the detected magnetic shoe located in the bearing assembly; and the signal acquisition and processing equipment is used for acquiring the acoustic vibration signal of the detected magnetic shoe and carrying out nondestructive detection on the internal defect of the detected magnetic shoe based on the acoustic vibration signal. The device can be arranged in a production line of the magnetic shoes, and can be used for rapidly carrying out nondestructive detection on internal defects of the magnetic shoes.

This application discloses a Raman spectroscopy method for identifying Hetian jade, belonging to the field of jade identification technology. This application involves directly performing Raman spectroscopy on the sample at wavelengths of 100–3200 cm⁻¹. ‑1 Raman spectra within the specified intervals are obtained and compared with standard spectra. Regions with prominent fluorescence, low and broad characteristic peaks are selected for scanning. The surface of the selected jade area is observed, and area surface or line scans are performed using a 785nm excitation source at cracks or color boundaries to obtain the final Raman spectrum. The characteristic peaks of benzene series compounds or C-H stretching vibrations of alkanes appearing in different intervals are used to identify Hetian jade. This method does not damage the jade itself, preserves its value, and is simple to operate with high sensitivity.

The present application relates to the technical field of detection of Dendrobium polysaccharide content, and discloses a system and method for rapid nondestructive detection of Dendrobium polysaccharide content, which comprises the following steps: collecting spectral reflection data in the 600 nm-1700 nm band by using a FLA6800 spectrometer, and performing data preprocessing, feature extraction, machine learning model training and prediction to rapidly and accurately predict the Dendrobium polysaccharide content, and finally generating a visual report and performing grading. The present application combines near-infrared spectroscopy technology with a machine learning model to realize efficient, accurate and nondestructive detection of the Dendrobium polysaccharide content, significantly improves the detection speed and accuracy, and provides real-time and reliable quality control basis.

The application discloses a short-circuit protection circuit and a switching power supply. The short-circuit protection circuit comprises a first resistor and a detection circuit. One end of the first resistor is used for connecting one end of an output capacitor, and the other end of the first resistor is used for connecting an output ground of the switching power supply. An input end of the detection circuit is connected with one end of the first resistor, and an output end of the detection circuit is used for connecting a short-circuit protection trigger end of a control circuit. The detection circuit is used for detecting a first voltage signal generated at two ends of the first resistor, and outputting a second voltage signal after processing the first voltage signal. The second voltage signal is used for being sent to the control circuit, and the power converter is controlled by the control circuit to stop working when the second voltage signal is less than a set value. The application can realize quick and lossless detection of short-circuit protection, and improve the short-circuit protection speed of the switching power supply and the whole machine efficiency.