565 results about "Spectroscopy" patented technology

The invention discloses a visual gas leakage detection system and method based on a laser spectrum, and relates to the technical field of gas detection visualization. According to the visual gas leakage detection system and method based on the laser spectrum, the method comprises the following steps that 1, gas monitoring data are collected and preprocessed; 2, extracting a characteristic spectrum from the gas monitoring data, obtaining a gas spectrum reduction value, and separating an overlapped absorption spectrum; 3, estimating the diffusion trajectory of the gas, and calculating a gas diffusion coefficient estimation value and a diffusion rate estimation value; outputting a gas concentration estimated value; 4, gas leakage source points are calculated, gas mass tracking is carried out, and different gas leakage sources are separated; and 5, generating a scatter diagram to display gas concentrations at different positions, and marking the position of a leakage source. The problem that a complex multi-gas environment cannot be recognized due to the fact that homogeneity and heterogeneity possibly exist in the same environment due to leakage of different types of gases in the prior art is solved.

When x-ray fluorescence (“XRF”) spectroscopy is utilized to classify materials transported on a moving conveyor belt, there is the possibility of the x-ray beam only partially irradiating the material piece, which can result in the capture of an inaccurate XRF spectrum needed to classify the material piece. This can lead to an improper (erroneous) classification and resultant sortation of material pieces (e.g., aluminum alloys). In a material handling system, the area of the intersections between the x-ray beam spots from an x-ray fluorescence system and the material pieces are measured and correspondingly used to correct the measured XRF spectrum associated with each material piece. The material pieces can then be sorted according to the corrected XRF spectrum.

The invention relates to the technical field of garbage recognition, and particularly discloses an intelligent garbage recognition system and method based on multi-modal fusion, a hardware sensing unit is composed of a three-dimensional vision module, a touch sensing module and a near infrared spectrum module, and point cloud data, a pressure distribution matrix and spectrum data of garbage are obtained respectively; and an edge computing unit is equipped to carry an NPU acceleration chip for data processing. And the software module realizes multi-modal feature fusion by using ResNet-50, LSTM (Long Short Term Memory), 1D-CNN (Convolutional Neural Network) and Transform Encoder, and is also provided with a multi-sensor timestamp synchronous controller. And the dynamic feature database starts online learning to update the material feature library when the garbage recognition confidence coefficient is lower than 85%. During feature fusion, a cross-modal feature mapping relation is established, the weight is adjusted through an attention mechanism, and dynamic learning adopts a model lightweight method based on knowledge distillation. And starting an arbitration mechanism to correct the classification result when different modal identification results conflict. According to the method, the advantages of different modal data are fully utilized, and the recognition capability in a complex environment is improved.

The invention relates to the technical field of spectral analysis and concentration quantitative detection, and discloses an LIBS quantitative analysis method, device and system based on a thin plate spline regression algorithm. The method comprises the steps that multiple sets of sample data are obtained, and each set of sample data comprises corresponding target sample concentration, laser energy and spectral intensity; constructing a concentration quantitative model about the concentration, the laser energy and the spectral intensity based on a spline function; determining an optimal penalty parameter by adopting a cross validation method; based on the optimal penalty parameter, solving parameters of the concentration quantitative model through a minimization objective function to obtain a constructed concentration quantitative model; and performing quantitative analysis on a sample with unknown concentration by using the constructed concentration quantitative model. Thus, the output energy of the laser is incorporated into the core model, and an I-E-C nonlinear coupling relationship is constructed, so that the problem of calibration deviation caused by laser energy fluctuation is reduced, and the precision improvement of concentration quantification in a complex scene is realized.

The invention belongs to the technical field of terahertz detection, and discloses a terahertz metamaterial enhanced spectrum detection system. Comprising the following steps: constructing a metamaterial enhancement factor tensor matrix according to the interaction between terahertz waves and a metamaterial; performing local field enhancement and surface plasma resonance optimization on the target sample based on the metamaterial enhancement factor tensor matrix to obtain a feature enhancement spectroscopy mapping function; constructing a multi-dimensional detection feature space based on a feature enhancement spectroscopy mapping function; a spectral signal enhancement topology network is formed based on the multi-dimensional detection feature space; enhancing the topological network based on the spectral signal, and generating an enhanced spectral feature discrimination function; obtaining a high-precision terahertz spectrum detection result based on the enhanced spectrum characteristic discrimination function; according to the invention, internal correlation between spectral characteristics can be mined, and comprehensive description of sample information is enhanced, so that high-precision terahertz spectrum detection is realized.

An optical device includes: a first optical system; and a second optical system. The first optical system includes a first light splitting device configured to split measurement light emitted from a first light source into a first measurement light and a second measurement light and then mix the split measurement light, a first mirror configured to add a first modulation signal by being moved in an entering direction of the first measurement light and reflecting the first measurement light, a second mirror configured to reflect the second measurement light, and a first light receiving device configured to receive the measurement light including a sample-derived signal and the first modulation signal and output a first light receiving signal. The second optical system includes a second light source configured to emit laser light, an optical modulator configured to add a second modulation signal to the laser light, and a second light receiving device configured to receive the laser light including a displacement signal generated by reflection on the first mirror and the second modulation signal and output a second light receiving signal.

The invention discloses a correction method for saturation spectral line intensity in a laser spectrum, and relates to the technical field of spectral data analysis, the method comprises the following steps: identifying saturation characteristics in the spectrum, determining a saturation point based on an intensity threshold, and recording the original intensity of the saturation point; determining a target spectrum peak wavelength range containing a saturation point; eliminating saturation points from the wavelength range of the target spectrum peak, and retaining unsaturation points; fitting the unsaturated point through a nonlinear function to obtain the maximum fitting strength; if the maximum fitting strength is lower than the original strength, performing strength correction by adopting a linear extension mode by taking an unsaturated point as a reference, and otherwise, performing strength correction directly based on a fitting model; and outputting the corrected spectral intensity data, and calculating the maximum intensity of the spectral peak and the integral area of the spectral peak. According to the method, the accuracy of saturation judgment and the reliability of a correction result are improved, and a direct intensity data basis and core derivative parameters are provided for quantitative analysis.

The invention discloses a mixing parameter regulation and control method and system for an SBS-T modified asphalt mixture and a terminal. The method comprises the following steps: analyzing a modification mechanism through a scanning electron microscope and X-ray photoelectron spectroscopy combined technology, dividing three stages of rapid melting and the like, and establishing a temperature-viscosity model; constructing a multi-scale capture system by using an atomic force microscope, a Fourier transform infrared spectrum and a dynamic shear rheometer; designing a five-factor three-level test matrix by adopting a response surface method, and establishing a road performance prediction model in combination with a BP neural network; mixing parameters are optimized in a multi-objective mode based on a genetic algorithm, and dynamic correction is achieved through an Internet of Things sensor and Kalman filtering. The system comprises a mechanism analysis module, a multi-scale detection module, a terminal integrated storage unit, a processing unit and a man-machine interaction unit. According to the scheme, the limitation of traditional single-factor analysis is broken through, microscopic and macroscopic collaborative optimization and dynamic parameter regulation and control are achieved, and the construction adaptability and precision are improved.

The invention relates to the technical field of grading gangue selection of coal gangue, in particular to a grading gangue selection method of coal gangue, which comprises the following steps: acquiring mineral texture data through a multispectral imaging device, analyzing the spatial distribution of aluminum and silicon elements in combination with an X-ray diffractometer, and generating a three-dimensional component map through spatial registration and fusion with infrared heat value data; impurities are dynamically removed through sulfur element spectrum detection, and the air pressure and the material flow of winnowing equipment are adjusted by matching roasting process parameters; components of the sorted waste are analyzed through an X-ray fluorescence spectrometer, particle size data are obtained through a laser particle analyzer, a genetic algorithm is input to iteratively optimize detection channel combination and sampling density, a resource distribution instruction is generated, and equipment parameter correction is fed back. According to the method, aluminum-silicon ratio critical value accurate identification, sorting parameter dynamic adaptation and waste recycling path optimization are realized, and the problem of overburning caused by insufficient quantitative analysis of element distribution in the prior art is solved.

Apparatuses and methods for microscopic analysis of a sample by simultaneously characterizing infrared absorption characteristics of a plurality of spatially resolved locations are described herein. These apparatuses and methods improve sampling times while collecting microscopic data regarding composition of a sample across a wide field.

The methods described herein provide improvements in composite infrared absorption imaging. The scanning approach described herein reduces erroneous measurements caused by thermal drift and optical interference that occurs between light scattering from the top surface of the sample and light scattering from the underlying substrate. Embodiments described herein relate to imaging and spectroscopy, and more particularly, to improvements in photo-thermal imaging and spectroscopy systems, and techniques for obtaining spectral information characterizing optical properties and / or materials or chemical compositions of a sample, such as information related to infrared (IR) absorption spectroscopy.

The invention discloses an LIBS (laser-induced breakdown spectroscopy) technology-based probe gun for online detection of molten steel components, comprising: a cylindrical shell, an upper cylinder opening of which is provided with an optical fiber receiving head electrically connected with a spectrometer; the laser emitting system is used for emitting high-energy pulse laser to penetrate through a lower barrel opening of the barrel-shaped shell to excite atoms on the surface of the molten steel, and plasma is formed; the signal acquisition system is used for coupling a spectral signal emitted by the plasma to the optical fiber receiving head, and an acquisition light path is formed between the plasma and the optical fiber receiving head; and the gas protection system is used for carrying out coaxial purging on the laser action area and the signal acquisition area so as to form an inert gas protection barrier around the plasma and on the peripheral side of the acquisition light path. The probe gun adopts inert gas to protect a barrier, has multiple effects of inhibiting generation of an oxide layer, reducing local temperature, reducing steam scattering and weakening continuous background radiation, and can improve the signal acquisition capability of the probe gun.

The invention discloses an ultra-wideband femtosecond optical parametric oscillator capable of being quickly tuned, and relates to the technical field of optical parametric oscillators. The oscillator comprises a frequency doubling device, an optical parametric oscillator resonant cavity device and a dispersion compensation chirp mirror pair module. According to the invention, the original phase matching bandwidth is further broken through by adopting a non-collinear phase matching mode that the transmission included angle between the pump light and the signal light is 2.5 degrees, and rapid wavelength tuning can be realized only by finely tuning the cavity length under the condition that the angle of the nonlinear crystal is not adjusted; the broadband tunable optical parametric oscillator can break through the bottlenecks in the aspects of wavelength tuning range, wavelength tuning speed and the like of the existing near-infrared optical parametric oscillator, and provides a novel light source with larger wavelength tuning range and higher tuning speed for the fields needing broadband tunable light sources, such as spectroscopy, micro-nano processing, optical frequency combs and the like.

The invention discloses a multispectral combined coal multi-index on-line rapid detection system and a multispectral combined coal multi-index on-line rapid detection method. The multispectral combined coal multi-index on-line rapid detection system comprises a coal sample conveying device, a spectrum fusion analysis device and a control device. The coal sample conveying device is used for conveying coal samples; the spectrum fusion analysis device is used for detecting and analyzing the coal sample and comprises an X-ray spectrum detection unit, a near-infrared detection unit and a laser-induced breakdown spectroscopy unit, the X-ray spectrum detection unit is used for obtaining an X-ray fluorescence spectrum of the coal sample, and the near-infrared detection unit is used for obtaining a near-infrared spectrum of the coal sample; the laser-induced breakdown spectroscopy unit is used for acquiring a plasma spectrum of the coal sample; and the spectrum fusion analysis device is electrically connected with the control device. According to the rapid detection system provided by the embodiment of the invention, online real-time prediction of the caking index, the calorific value, the ash content, the total moisture content, the total sulfur content, the volatile component and the ash fusion point of the coal is realized, and real-time data support is provided for coking coal blending process optimization and metallurgical coke quality control.

A spectrometer apparatus (110) and method of obtaining spectroscopy information about at least one object (112) are disclosed. The spectrometer device (110) comprises: at least one light source (114) for generating illumination light (116) for illuminating the object (112), the light source (114) comprising at least one light emitting diode (118) and at least one luminescent material (120) for converting primary light generated by the light emitting diode (118) into secondary light; ii. At least one broadband detector (128) for detecting detection light (130) within a spectral range at least partially comprising a spectral range of the primary light and the secondary light, the broadband detector (128) is configured to generate at least one primary detector signal upon detection of the detection light (130) within the spectral range of the primary light, where the broadband detector (128) is further configured to generate at least one secondary detector signal upon detection of the detection light (130) within the spectral range of the secondary light; and iii. At least one evaluation unit (136) for evaluating the primary detector signal and the secondary detector signal generated by the broadband detector (128), for determining responsivity information (137) about the broadband detector (128) from one of the primary detector signal or the secondary detector signal, and for deriving spectroscopy information about the object (112) from the other of the primary detector signal or the secondary detector signal by taking into account responsivity information (137) about the broadband detector (128).

The invention relates to a wide-temperature-range stable dual-band infrared optical filter for an extreme environment and a preparation method thereof. The wide-temperature-range stable dual-band infrared optical filter comprises a front film system, a substrate and a back film system, the front film system and the back film system are formed by alternately overlapping germanium layers and zinc sulfide film layers; the drift distance of the central wavelength of the passband of the infrared optical filter is less than 0.05% within the temperature range of-120 DEG C to + 85 DEG C. According to the invention, the internal stress of the film layer is obviously reduced through the optimized film system design, so that the excellent stability of the optical performance in an extreme temperature environment is realized, the technical problem that some special infrared spectrum detection systems work in a wide temperature range is solved, and a reliable solution is provided for high-end aerospace infrared application.

Provided are a coal testing system and method, and a storage medium. The system comprises: a detection unit, which is used for collecting spectral data of a coal sample under test; a training unit, which is used for constructing, by means of the spectral data, neural networks across neural network dimensions on the basis of a greedy search, and obtaining a coal sample test model by means of performing training on the basis of simulated samples which have been subjected to sample augmentation; and an analysis unit, which is used for executing fusion processing on the spectral data to obtain target spectral data, and on the basis of the coal sample test model, executing target spectral data inference to obtain a coal test result, wherein the detection unit comprises a near-infrared spectroscopy collection module and an X-ray fluorescence spectroscopy collection module.

Methods and systems are disclosed for predictive classification of a raw mass spectrum of a sample, the spectrum resulting from mass spectrometry analysis. The predictive classification is performed by a trained large-scale spectral model, including a self-supervised large-scale base spectral model trained with unidentified sample spectra from a plurality of sources and fine-tuned with a task-specific model trained with identified spectra.

The invention discloses an airborne particulate matter laser-induced breakdown spectroscopy (LI BS) detection and analysis device and method. The device comprises a measurement device frame; the negative pressure airborne particle flow system comprises an airborne particle flow pipe, a negative pressure airflow unit and a particulate matter supply unit, the airborne particle flow pipe is not limited by gravity and can be horizontally or vertically installed, a through hole is formed in the middle of the airborne particle flow pipe, the axis of the through hole perpendicularly intersects with the axis of the airborne particle flow pipe, and the diameter of the through hole is smaller than that of the airborne particle flow pipe. The negative pressure airflow unit is connected with the two ends of the airborne particle flow pipe, and the particle supply unit is linked with the negative pressure airflow unit and conveys particles to the airborne particle flow pipe to form stable particle flow; the particle flow LI BS detection system comprises a laser, a spectrometer and a light path, and realizes LI BS spectrum excitation and detection. The device is simple in structure, the particle flow system does not need a sealing window, and particulate matter leakage-free circulating detection analysis is achieved.

A method for differentiating gas sources based on temperature includes transmitting an optical beam through a plume emitted by a combustion system. The method includes detecting the optical beam, after propagating through the plume, to obtain an absorption spectrum. The method includes determining, based on the absorption spectrum, a first path-integrated concentration of a gas species, a first temperature of the first path-integrated concentration, a second path-integrated concentration of the gas species, and a second temperature of the second path-integrated concentration. The second temperature is different from the first temperature. The method may further include performing an inversion to obtain a sampled quantity of the gas species within the plume. The method may be implemented with dual-comb spectroscopy, in which case the optical beam is formed from two frequency combs having slightly different repetition rates.

A spectroscopy and microscopy system and method include a source of pulsed infrared light generating pulsed infrared excitation light for exciting a sample, such that the pulsed infrared light selectively heats the sample by absorption of the pulsed infrared light and allows the sample to cool. A source of probe light generates probe light for illuminating the sample. A detection element detects a signal indicative of selective heating of the sample by the excitation light. A processor receives the signal indicative of the selective heating of the sample, computes a time rate of local temperature rise in the sample to obtain instantaneous absorption in the sample, and, using the instantaneous absorption, generates a spectrum related to the sample.

An infrared-spectroscopy-based method for monitoring temperature-induced deformation of a component of an intelligent moxibustion robot. The method comprises: collecting an infrared spectrum and a frequency spectrum of each detection position on a target component of a moxibustion robot; on the basis of frequency differences between peaks and troughs in the frequency spectrum, constructing a motion influence confidence factor of each detection position; using a box-counting method to acquire a scale relationship graph of the infrared spectrum of each detection position; on the basis of scale relationship graphs of all the detection positions, determining an overall absorbance difference index of the target component; on the basis of the overall absorbance difference index and the motion influence confidence factor, using a local outlier factor (LOF) outlier detection algorithm to calculate an LOF of each detection position in a thermal data sequence; and on the basis of a thermal alarm threshold value, determining a temperature-induced deformation risk of the target component. The method can eliminate spectral difference variations caused by shadows and reflectance properties, thereby improving the precision of determining high-temperature deformation of components.

The invention discloses a medium surface microstructure detection device and method based on a spectrum technology, and relates to the technical field of structure detection, and the device comprises a partition division module which is used for dividing a target medium surface to obtain a medium partition sequence, and collecting a reflection spectrum of a surface microstructure to obtain a reflection spectrum sequence; the quality identification module is used for carrying out quality identification on the target medium to obtain a quality coefficient sequence and configuring abnormal residue identification precision; the exception identification module is used for calling exception residue identification resources and carrying out exception residue identification on the reflection spectrum sequence to obtain an exception residue parameter sequence; and the result processing module is used for performing processing to obtain abnormal residual distribution, performing similarity analysis on the abnormal residual distribution and historical abnormal residual distribution, obtaining identification confidence, combining the quality coefficient sequence and the abnormal residual parameter sequence, and performing calculation to obtain a medium quality parameter as a detection result. The technical problem that the medium surface detection effect is poor in the prior art is solved.

The invention provides a gold mineral exploration method, device and system and a storage medium. Relates to the technical field of mineral exploration. The gold mineral exploration method comprises the following steps: acquiring a backscattered electron image of a sample to be detected, and screening bright mineral phase particles based on a preset gray threshold; performing energy spectrum analysis to obtain an actually measured energy spectrum corresponding to each bright mineral phase particle; and determining the gold-bearing minerals in the to-be-detected sample according to the actually measured energy spectrum. According to the method provided by the invention, the gold-bearing mineral is determined by analyzing the actually measured energy spectrum, and the identification accuracy and the automation efficiency of the micro-fine gold are improved; the method can effectively solve the problem of missed judgment caused by energy spectrum signal mixing and low matching degree due to fine or wrapped particles in a traditional method, so that more accurate process mineralogy data is obtained, and a reliable basis is provided for formulating an efficient dressing and smelting recovery scheme.

The invention provides a spectrum confocal three-dimensional shape measurement method and system based on an area light source, and belongs to the technical field of optical measurement, and the method comprises the steps: employing a Micro LED area light source capable of line-by-line driving to generate RGB three-color modulated isoenergetic white light, and after collimation and beam splitting of a beam splitter prism, the isoenergetic white light is converted into a light source; and the dispersion objective lens axially focuses light rays with different wavelengths at different height positions on the surface of a measured object. The reflected light is reflected to the array slit through the beam splitter prism and is split by the diffraction grating to form a spectral image containing space-wavelength two-dimensional information, and the surface height is analyzed by using a peak wavelength-height mapping relation. Full-field scanning is achieved by switching the area light sources line by line, and three-dimensional shape reconstruction can be completed without mechanical movement. The invention has the advantages of high light source brightness, high light source uniformity, uniform energy distribution of each wavelength, high scanning speed and high spatial resolution.

Improvements in spectroscopy are disclosed herein that rely on the interaction of both an infrared beam and a probe beam with a sample. These beams are used in a pump-probe arrangement, with a fiber optic probe collecting the beams of infrared and probe radiation from the infrared source and delivering it to the sample. At least a portion of the beam of infrared radiation and the beam of probe radiation overlap one another on the sample. The fiber also collects probe radiation that has interacted with the sample. A detector can use this collected signal to indicate an intensity of the collected probe radiation, and an analyzer can generate a signal indicative of infrared absorption of the sample adjacent the fiber.

The invention discloses a terahertz time-domain spectroscopy-based wheat stripe rust uredospore optical parameter extraction method. The method comprises the following steps: mixing wheat stripe rust uredospore powder and polyethylene powder, and tabletting; a transmission module of the terahertz time-domain spectrometer is used for collecting time-domain spectral data of the mixed tablets in a nitrogen environment; carrying out filtering processing on the collected time-domain spectral data to eliminate high-frequency noise; main waves of the time domain signals are reserved, the echo position is estimated, sampling points are randomly generated through normal distribution to dynamically correct the echo signals, and time domain interference is reduced; and performing fast Fourier transform on the corrected time domain signal, and calculating the refractive index, the absorption coefficient and the dielectric constant of the wheat stripe rust uredospores through frequency domain amplitude and phase information on the basis of an improved Dorne-Duvillaret model. Through sample preparation optimization, echo correction and model improvement, the measurement precision can be remarkably improved.

The invention discloses a time-resolved LIBS (laser-induced breakdown spectroscopy) system and a sample component analysis method and product thereof, and relates to the field of laser-induced breakdown spectroscopy. After the sample is irradiated by the ablation laser, plasma is generated; in the plasma expansion and cooling process, excited state atoms and ions are subjected to energy level transition, and a characteristic radiation spectrum is released; the delay control module sets different delay time so as to control the working time interval of the laser generator and the spectrograph; the spectrograph receives the characteristic radiation spectrums at different delay times by using an optical fiber probe, stimulates the characteristic radiation spectrums at the integration time, and determines characteristic radiation spectral lines of different elements; and the computer analyzes the characteristic radiation spectral lines, determines spectral line intensities of different elements, and determines a component result of the sample in combination with the calibrated spectral line intensities and the element content function curve so as to improve the accuracy of the component result of the sample.

Provides is an ultra-microlight transmission device using secondary electrons according to various embodiments of the present invention for implementing the above-objects. The ultra-microlight transmission device includes a light source module configured to generate light, a housing which includes an interior space and performs spectroscopy and diffuse reflection on light introduced into the interior space, a first filter unit configured to convert the spectroscopic and diffusely reflected light into monochromatic light, and a second filter unit configured to cause diffraction and interference for the converted light.

The invention relates to the technical field of engineering muck intelligent detection and resource utilization, in particular to a muck water content intelligent sensing method based on a near infrared spectrum technology. The method comprises the following steps: S1, grading preparation of the moisture content of a muck sample: drying, screening and water adding grading treatment are performed on the muck sample, and muck samples with different moisture contents are prepared; s2, near infrared spectrum data acquisition and signal acquisition: acquiring a reflection spectrum of the muck sample, and sampling for multiple times and averaging to obtain stable original data; s3, data pre-processing and spectrum comprehensive correlation score function generation: carrying out data pre-processing on the spectrum data to obtain a correlation score function; s4, feature extraction and moisture content prediction model establishment: extracting moisture content related wave bands, and establishing a moisture content prediction model with a high-precision prediction relation; and S5, muck moisture content prediction and intelligent identification: inputting spectral data, and outputting the muck moisture content. The method has the characteristics of high efficiency, automation, high efficiency, high precision, wide applicability and the like.