95 results about "Reflection spectrum" patented technology

The present application belongs to the technical field of grain informatization processing, and particularly relates to a kind of imperfect grain kernel identification method and system.Visible light image and reflectance spectrum data of grain kernel are input into identification model;From the features extracted from the visible light image and reflectance spectrum data of grain kernel respectively by the feature extraction module, the input features are obtained;The spectral Mamba branch in the identification model sequentially performs linear layer and convolution processing on the normalized input features, and then inputs the state space model to obtain the output;The spatial Mamba branch performs dimension transposition on the normalized input features, and then sequentially performs linear layer and convolution processing, and then inputs the state space model to obtain the output;The guide branch sequentially performs linear layer processing on the normalized input features, and then inputs the ConvNeXt classifier, and then adjusts the output of the ConvNeXt classifier combined with the SiLU activation function to obtain the output;According to the fusion result of the output of the guide branch, the spectral Mamba branch, the spatial Mamba branch and the input features, the identification result is obtained.

This invention discloses a method and system for deep fusion detection of multimodal soil nutrients, belonging to the field of data processing. The method includes the following steps: real-time reception of multimodal data from a sensor suite deployed in the field. The received multimodal data includes soil reflectance spectral data collected by a near-infrared spectral sensor. Compared with the prior art, the advantages of this invention are: real-time reception of spectral, electrochemical, and image data, extraction of deep features after preprocessing and alignment, and introduction of a condition-aware network. The weights of each modality are dynamically adjusted based on auxiliary information such as soil moisture and organic matter content, and finally, a weighted fusion is performed to output the predicted nutrient value. This fully utilizes the complementarity of multimodal information, overcoming the environmental sensitivity and instability of single technologies while retaining their respective advantages, achieving rapid, accurate, and robust soil nutrient detection in the field.

The present disclosure discloses a method and system for improving the accuracy of satellite remote sensing inversion by integrating hyperspectral proximal sensing, belonging to the technical field of water environment and aquatic ecological monitoring. The method includes the steps of: acquiring a water body hyperspectral proximal sensing reflectance spectrum dataset, a satellite remote sensing surface reflectance dataset, and a water environment in-situ measurement dataset, and performing preprocessing on the datasets; generating a fused satellite-ground dataset, and constructing and training a water quality parameter inversion model; and updating corresponding methods and the datasets in real time by repeating specified steps, thereby optimizing the model. The present disclosure displays and downloads inversion results according to a query instruction, enhances satellite spectral precision and increases the scale of the synchronous satellite-ground dataset, and is used for high-precision water environment monitoring.

The utility model belongs to ceramic detection equipment technical field especially relates to a kind of ceramic whiteness real-time detection device in high-temperature calcination process, including base assembly, base assembly is connected with support adjusting assembly through support, cooling and temperature reducing component is connected on the upper end of support adjusting assembly, high-spectrum camera is clamped in cooling and temperature reducing component middle, base assembly is connected with the water inlet end of shell-and-tube water cooler through water pump, cooling and temperature reducing component is connected with the water outlet end of shell-and-tube water cooler, high-spectrum camera is erected at the observation window outside of high-temperature calcination chamber, high-spectrum camera captures the reflection spectrum information of kiln ceramic surface, this spectrum data is uploaded to processor, and the whiteness value that meets CIE whiteness standard or specific industry standard is calculated, and the whiteness change of ceramic can be monitored in real time and continuously by high-spectrum camera, and powerful technical support is provided for quality control in ceramic production process.

The application relates to the technical field of micro-nano optics and high-precision thin film thickness measurement, and discloses a resolution-optimized thin film thickness measurement method and system based on a metasurface, to solve the problem that the existing thin film thickness measurement method cannot realize non-contact and high resolution. The system comprises a broadband light source, a composite metasurface measurement probe, a spectrometer and a data processing unit. The composite metasurface measurement probe comprises a composite metasurface, the composite metasurface comprises a multilayer step flat lens and a single-layer metasurface, the single-layer metasurface is composed of a transparent glass substrate and a micro-nano structure array constructed above the transparent glass substrate, and the flat lens is connected with the transparent glass substrate of the single-layer metasurface. The composite metasurface is used for receiving and phase-controlling incident light of different wavelengths. The spectrometer is used for recording the light intensity distribution of reflected light changing with wavelengths, and obtaining a reflected spectrum signal. The data processing unit is used for calculating the thin film thickness according to the reflected spectrum signal. The system can improve the precision of thin film thickness measurement.

The application discloses a multi-modal fusion-based embodied robot adaptive grasping system and method, relates to the embodied robot grasping technical field, and comprises the following steps: synchronously collecting depth point cloud and multi-band reflection spectrum data of a target object, and respectively constructing a geometric voxel model and a surface physical property matrix. Through cross-modal space alignment, the physical properties are accurately mapped to the geometric voxel to generate a fusion attribute voxel model. Based on the model, an optimal grasping area that simultaneously satisfies geometric stability, a high friction coefficient, a low thermal conductivity coefficient and a normal vector constraint is identified. According to the area information, the target pose and grasping force of the mechanical arm are calculated, and the grasping is controlled to be executed. The method realizes the collaborative utilization of the object geometry and physical properties, and makes the grasping action adaptive in the mechanical and thermal aspects.

The application discloses a phase mask plate preparation method for inhibiting a Fabry-Perot effect, and comprises the following steps: a dispersion fiber grating model is established, and reflection spectrum, transmission spectrum and group delay curve of the dispersion fiber grating are obtained through simulation; an ultra-Gaussian cut-off function model is established; according to the reflection spectrum and the transmission spectrum of the dispersion fiber grating and the ultra-Gaussian cut-off function, the reflection spectrum, the transmission spectrum and the group delay curve of the optimized dispersion fiber grating are obtained through simulation, and then a refractive index modulation depth distribution curve of a grating area of the phase mask plate is obtained; the refractive index modulation depth distribution curve of the grating area of the phase mask plate is optimized to obtain an optimized refractive index modulation depth distribution curve; a diffraction efficiency distribution curve and a groove depth of the phase mask plate are calculated; and the phase mask plate is obtained according to the groove depth of the phase mask plate. According to the application, the groove depth distribution of the phase mask plate used for writing is only adjusted, the Fabry-Perot effect can be effectively inhibited, and therefore the reflection spectrum flatness of the dispersion fiber grating is improved.

This invention discloses a refractive index calibration method for wafer polishing endpoint detection, comprising the following steps: S1, establishing a dispersion model and fitting the refractive index using the dispersion model and corresponding model parameters; S2, determining one or more initial values ​​for the dispersion model parameters; S3, calibrating based on the initial values ​​and gradient information to obtain the final model parameters; S4, generating the refractive index using the calibrated parameters for thickness calculation and performing polishing endpoint detection. This invention also discloses a wafer polishing endpoint detection method. This invention adds refractive index calibration, eliminating the need for other complex methods and destructive contact with the wafer. It uses the refractive index of the wafer layer to be polished as a parameter and calibrates it using an algorithm, making it more consistent with the relationship between the currently measured wafer reflection spectrum information and the actual thickness, improving the accuracy and consistency of thickness calculation, thereby improving the accuracy of polishing endpoint detection.

The application discloses a urine small extracellular vesicle PLA2R1 membrane protein detection method for distinguishing membranous nephropathy, and belongs to the technical field of biomedical detection. The detection method comprises the following steps: preparing an anti-CD63 antibody surface fixed plasmonic metasurface sensing chip to directly capture small extracellular vesicles in urine; preparing an anti-PLA2R1 antibody modified biofunctionalized gold nanoparticle complex to specifically combine with the PLA2R1 membrane protein on the surface of the small extracellular vesicles; detecting the reflection spectrum of the chip after antibody fixation and gold nanoparticle combination through a spectrometer with an integrated optical fiber probe; calculating the resonance wavelength shift amount; measuring the expression level of the PLA2R1 membrane protein; and realizing accurate distinction of healthy people, membranous nephropathy gray area and confirmed patients. The non-invasive detection method is simple in operation and rapid in detection, the sensitivity and the specificity are improved by means of the gold nanoparticle signal amplification effect, and is suitable for large-scale clinical screening and early diagnosis.

The application relates to the technical field of optical fiber sensing and pressure monitoring, and discloses a fiber grating high-speed sensing system for pressure detection. The system comprises a light source module, a sensor module and a detection, collection and demodulation module. The light source module is based on an MG-Y tunable laser and outputs high-speed linear scanning light; the sensor module is composed of a pressure conduction device, a pressure testing device, a temperature compensation device, a sealed shell and a fixing structure, and converts the measured pressure and environmental temperature change into optical signals with different wavelength drift characteristics; the detection, collection and demodulation module adopts high-speed photoelectric detection and a double-FPGA processing unit to synchronously collect and real-timely demodulate the reflected spectrum. The application is collaboratively designed through a pressure conversion structure and an MG-Y high-speed sweep frequency demodulation platform, high-precision, high-stability and high-speed real-time detection of pressure signals are realized, different ranges can be expanded by changing the thickness of the pressure diaphragm, and long-term creep drift is reduced through an oxygen-free glue welding fixing mode.

This invention discloses a denoising method for the reflection spectrum of a fiber Bragg grating (FBG) based on physical model guidance and adaptive weight optimization, belonging to the field of fiber optic sensing signal processing technology. Addressing the problem of decreased FBG sensing accuracy caused by noise interference, this invention utilizes complete empirical mode decomposition and an adaptive noise algorithm to obtain the eigenmode functions and residuals of each order of the reflection spectrum, followed by preliminary processing using the Savitzky-Golay filtering algorithm. Subsequently, the theoretical reflection spectrum of the FBG is derived based on the design parameters of the FBG using the transfer matrix method. This theoretical spectrum serves as the optimization benchmark for the weighted differential evolution algorithm, comparing the similarity between the candidate reconstructed spectrum and the theoretical spectrum under multiple indicators to ultimately obtain the globally optimal weights and reconstructed spectrum. This invention overcomes the limitations of existing data-driven mode decomposition methods caused by rigid weight allocation mechanisms. By employing a dual-driven mechanism of physics and data, it suppresses spectral peak distortion and reduces center wavelength positioning deviation, providing valuable reference for improving FBG accuracy.

This invention discloses an unsupervised deep learning clustering method, system, and storage medium based on the optical fiber reflectance spectra of metallurgical micro-relics, belonging to the field of high-throughput metallurgical archaeological data characterization technology. The method includes: collecting and preprocessing the optical fiber reflectance spectra of metallurgical micro-relics; constructing and training an unsupervised deep learning clustering model, wherein the model is a variational autoencoder deep embedding model based on angular geometry, including a one-dimensional convolutional layer, a fully connected layer, and a Gaussian mixture model embedded in the latent space; using the trained model to extract low-dimensional latent variables from the spectral data of the training and test sets; visualizing the low-dimensional latent variables of the training set using a uniform manifold approximation and projection algorithm, and projecting the low-dimensional latent variables of the test set onto the visualization to identify and locate relevant data of metallurgical micro-relics. This invention achieves unsupervised deep learning clustering for the optical fiber reflectance spectra of metallurgical micro-relics.

This application discloses a display panel and a display device, relating to the field of display technology. The display panel includes a substrate, a plurality of light-emitting units located in a display area of ​​the substrate, and a reflective metal layer located on at least some of the light-emitting units. The reflective metal layer is used to adjust the reflection spectrum of the display panel in the visible light band. Since the adjustment of the reflection spectrum can reflect changes in the reflectivity of the display panel, adjusting the reflection spectrum of the display panel with the reflective metal layer can mean that the reflective metal layer can be used to adjust the reflectivity of the display panel. Changes in reflectivity have a certain impact on the off-screen reflection hue of the display panel; therefore, by setting a reflective metal layer, the flexibility of hue adjustment of the display panel can be improved.

This invention discloses a universal detection method applicable to coal with multiple particle sizes. It includes: first, acquiring a coal sample set under a target scenario, along with the corresponding near-infrared diffuse reflectance spectra and analytical properties of each coal sample, where all coal samples in the set have the same particle size; second, determining the property analysis model and reference wavelength based on the near-infrared diffuse reflectance spectra and analytical properties of each coal sample in the set; finally, acquiring the near-infrared diffuse reflectance spectrum of an unknown coal sample, preprocessing the spectrum using the reference wavelength to obtain the corresponding standardized spectrum, and inputting it into the property analysis model, which then outputs the analytical properties of the unknown coal sample. The method proposed in this invention is applicable to coal particle sizes ranging from ultrafine powder, medium particles, and coarse particles to in-situ rough surfaces and in-situ smooth surfaces, significantly eliminating spectral scattering effects caused by the physical state of the sample and improving the accuracy of quantitative coal quality analysis.

This invention proposes a method and system for modeling and analyzing facial physiological parameters based on the spectrum of real skin color. First, the spectral reflectance of local facial skin is measured by capturing facial images and extracting image data from the measurement locations. Second, the spectral reflectance of the facial skin region is obtained by combining the captured and measured skin data with a spectral reconstruction algorithm. Subsequently, a two-layer optical model including the epidermis and dermis is constructed, and a power-law scattering model is introduced to describe tissue scattering behavior. Based on this, a positive mapping from physiological parameters to reflectance spectra is established using the theory of semi-transparent turbid media combined with Fresnel reflection correction at the air-skin and epidermal-dermal interfaces. Finally, a weighted optimization objective function with physiological constraints is designed for the measured spectrum, and an algorithm for boundary-constrained optimization problems is used to simultaneously invert 10 key physiological parameters, achieving high-precision, non-invasive, and quantitative assessment of skin pigmentation, blood oxygenation status, and nutritional levels.

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.

This application provides a wafer processing system, an endpoint detection device, a method, and an electronic device. The wafer processing system includes: a wafer polishing assembly, including a polishing disk; an optical assembly disposed within the polishing disk and rotating synchronously with the polishing disk, used to acquire the reflection spectral signal of the wafer film layer in real time during the wafer polishing process; and a controller, communicatively connected to the optical assembly, used to select a matching spectral data processing strategy based on the current wafer polishing parameters to identify whether the reflection spectral signal is an abnormal spectrum; if not, to determine the current film layer thickness based on the reflection spectral signal; and to perform polishing endpoint determination based on the film layer thickness. The solution of this application can avoid misjudgment of the polishing endpoint caused by abnormal spectral data, ensuring the consistency and yield of wafer processing.

The application discloses a kind of LPFG-CTFBG cascade high-power laser optical shutter SRS effect inhibition method, comprising: establishing SRS effect inhibition mathematical model, obtaining the expression of the transmission spectrum and the reflection spectrum of cascade grating;Determine the structure parameter of LPFG and CTFBG;LPFG and CTFBG are inscribed on the core of double-end QBH cable, form cascade grating, and package, complete the preparation of double-end QBH cable with cascade grating;Double-end QBH cable is connected to high-power laser optical shutter output end, and double-end QBH cable with cascade grating inhibits the SRS effect of high-power laser optical shutter.The application can inhibit the SRS effect generated by high-power laser optical shutter and double-end QBH cable, avoid the signal laser power drop caused by the accumulation of SRS effect, reduce system stability.

The application belongs to a high-sensitivity sensing circuit based on transmission valley degeneracy, a sensing method and a pressure sensor, and the sensing circuit comprises: a first LC resonator and a second LC resonator, the first LC resonator and the second LC resonator are weakly coupled with a transmission line with a predetermined characteristic impedance; a coupling element connected between the first LC resonator and the second LC resonator for realizing the coupling between the two resonators; and a signal extraction device for extracting the scattering parameter of the transmission line; wherein the first LC resonator and the second LC resonator are used to make the sensing circuit work at the transmission valley degeneracy point by adjusting the coupling element and the external coupling element, and when the coupling element is disturbed, the splitting of the spectral line valley in the reflection spectrum occurs. The application significantly improves the output signal-to-noise ratio and solves the contradiction between sensitivity and noise.

The present application relates to the field of optical fiber sensing technology, and more particularly to a kind of FP-FBG fusion spectrum demodulation method based on discrete spectrum analysis, comprising: driving tunable laser quasi-continuous scanning FP-FBG sensor and obtaining discrete reflection spectrum sequence through photoelectric acquisition circuit, determining the index of FBG peak in the sequence and obtaining FBG center wavelength by using centroid method fitting, selecting target neighborhood with the index as center and replacing the neighborhood sequence value with the intensity mean of spectrum sequence to obtain processed FP spectrum sequence, performing autocorrelation transformation on the processed FP spectrum sequence to obtain autocorrelation sequence, and finding the peak-to-peak distance between main peak and adjacent peak in the autocorrelation sequence, and finally calculating the sensing demodulation result according to the calibration relationship.The present application can effectively remove the shielding of narrow-band FBG to FP spectrum period information, suppress random noise and significantly improve the demodulation accuracy of low-quality spectrum.

This invention discloses a method and system for spectral characterization of few-mode fiber Bragg gratings based on lightweight adaptive control. The method includes: clarifying the multimode reflection characteristics and feedback mapping theoretical basis of the few-mode fiber Bragg grating; constructing an adaptive feedback closed-loop device containing the few-mode fiber Bragg grating based on the multimode reflection characteristics and feedback mapping theoretical basis; performing adaptive locking for different proportions of higher-order modes of the few-mode fiber Bragg grating through the adaptive feedback closed-loop device to characterize the evolution of the few-mode fiber Bragg grating and obtain a reflection spectrum dataset under different proportions of higher-order modes; and establishing a quantitative transfer matrix of the spectral characteristics and mode ratios of the few-mode fiber Bragg grating based on the reflection spectrum dataset.

The utility model discloses a boiler small-caliber steel pipe temperature monitoring device based on femtosecond fiber bragg grating, which comprises a femtosecond fiber bragg grating sensing network, the femtosecond fiber bragg grating sensing network comprises an optical fiber and a femtosecond fiber bragg grating sensing array, and the optical fiber is connected with the femtosecond fiber bragg grating sensing array. The femtosecond fiber bragg grating sensing array is wound on a plurality of small-caliber steel pipes communicated with a boiler through an encircling piece so as to monitor the temperature of the small-caliber steel pipes in real time and output optical signals; the output end of the femtosecond fiber grating sensing network is sequentially connected with a signal demodulator, a central processing unit and an alarm, after the signal demodulator demodulates optical signals and collects reflection spectrums, the central processing unit processes the reflection spectrums and extracts temperature distribution information, and if the temperature distribution information exceeds a temperature threshold value, the alarm gives an alarm; multi-point on-line temperature monitoring of the small-caliber steel pipe is realized, and temperature abnormity can be found in time.

The application discloses a traditional Chinese medicinal material quality nondestructive identification method and system based on near-infrared spectroscopy, relates to the technical field of nondestructive identification, and comprises the following steps: constructing a forward causal subgraph based on active ingredients, functional groups contained in the active ingredients and characteristic absorption wave bands of the functional groups of target medicinal material samples; identifying an inhibition relationship according to absorbance values and effective component contents of medicinal material samples of several batches, and constructing an inhibition node; combining the forward causal subgraph and the inhibition node to obtain a heterogeneous graph; generating a feature vector according to the heterogeneous graph and inputting the feature vector into an identification model to output an identification result. The near-infrared diffuse reflection spectroscopy is significantly improved in accuracy, anti-interference ability and chemical interpretability for simultaneous quantification of multiple active ingredients in traditional Chinese medicinal materials.

The application relates to the technical field of semiconductor device special equipment manufacturing, and discloses a micro-order regulation method and system based on a metastable energy window. The method emits a pulse photon beam with a specific frequency to the surface of a semiconductor target material, so that lattice atoms enter a metastable energy window; the reflection spectrum of the semiconductor target material is collected in real time during the pulse intermittent period, and lattice vibration mode features are extracted; the lattice vibration mode features are compared with preset metastable energy window boundary threshold values, the photon density and the duration of the next pulse photon beam are dynamically adjusted according to the comparison result, and lattice atoms are repaired by short-range atomic rearrangement in the metastable energy window. The scheme limits energy injection to the metastable interval, and blocks the long-range diffusion path of doped atoms.

The application discloses a high-pressure regulation method of photoelectric performance of molybdenum diselenide. The method is characterized in that: the molybdenum diselenide sample is placed in a diamond anvil cell high-pressure cavity, a hydrostatic pressure of 0.4-3.9 GPa is applied under the premise of keeping the structure of 2H phase stable, the band gap is reduced to 0.77 eV and the light absorption is enhanced by using the lattice shrinkage, and the photoelectric current is significantly improved. Under the pressure of 3.9 GPa, the photoelectric current is improved by 2 times compared with that in the normal pressure state; when the pressure is more than 4 GPa, the photoelectric response disappears due to the increase of the dark current. The application combines the in-situ X-ray diffraction, Raman spectrum and infrared reflection spectrum in a wide pressure range to characterize the structure evolution and optical property change of the material, and combines the photoelectric current test and the first principle calculation to clarify the mechanism of the high-pressure induced photoelectric performance enhancement, and establishes the physical correlation of pressure-lattice shrinkage-band gap reduction-photoelectric current enhancement, thereby providing a technical basis for the regulation of photoelectric detection materials in a high-pressure environment.

This invention discloses a method for rapid quantitative analysis of methamphetamine based on portable near-infrared spectroscopy and PLS modeling, characterized by: (1) collecting near-infrared diffuse reflectance spectra of methamphetamine crystals and tablets using a portable near-infrared analyzer, and preprocessing the spectral data using the S-G method; (2) performing data analysis and modeling based on the PLS method to obtain a PLS regression model; (3) detecting the sample to be tested: collecting the near-infrared diffuse reflectance spectra of the sample to be tested, and then obtaining the methamphetamine content in the sample to be tested according to the model in step (2).

The application relates to the field of high-power fiber lasers, and particularly discloses a femtosecond laser preparation method of a pump light recycling grating and a spectrum measuring device. The preparation method takes a double-clad fiber as a substrate, adopts femtosecond laser to be focused in the inner cladding through a coating layer, writes a fiber Bragg grating through a multi-layer line scanning technology, prepares a uniform grating or a chirped grating, and flexibly controls a grating modulation area by adjusting parameters. The spectrum measuring device is composed of an ASE broadband light source, a multimode fiber coupler, a multimode fiber matched with the inner cladding diameter and a double spectrometer, and realizes real-time and accurate measurement of the transmission and reflection spectrum of the inner cladding grating. The application solves the problems of low coupling efficiency, poor reliability and difficulty in reflecting specific wavelengths in the traditional pump light recycling technology, the prepared grating is uniform in modulation, the pump light reflection effect is good, residual pump light can be recycled efficiently, and the system efficiency and integration level of the high-power fiber laser are significantly improved.