5results about How to "Fast NDT" patented technology

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.

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.

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.