Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

153 results about "Laser-induced breakdown spectroscopy" patented technology

Laser-induced breakdown spectroscopy (LIBS) is a type of atomic emission spectroscopy which uses a highly energetic laser pulse as the excitation source. The laser is focused to form a plasma, which atomizes and excites samples. The formation of the plasma only begins when the focused laser achieves a certain threshold for optical breakdown, which generally depends on the environment and the target material. In principle, LIBS can analyze any matter regardless of its physical state, be it solid, liquid or gas. Because all elements emit light of characteristic frequencies when excited to sufficiently high temperatures, LIBS can (in principle) detect all elements, limited only by the power of the laser as well as the sensitivity and wavelength range of the spectrograph & detector. If the constituents of a material to be analyzed are known, LIBS may be used to evaluate the relative abundance of each constituent element, or to monitor the presence of impurities. In practice, detection limits are a function of a) the plasma excitation temperature, b) the light collection window, and c) the line strength of the viewed transition. LIBS makes use of optical emission spectrometry and is to this extent very similar to arc/spark emission spectroscopy.

Waste metal classification and identification method and system based on image identification

The invention relates to the technical field of industrial visual inspection, and particularly discloses a waste metal classification and recognition method and system based on image recognition, and the method comprises the steps: obtaining metal surface visual information through an image collection system, extracting multi-level depth features after preprocessing, and generating a preliminary classification result and confidence evaluation; when the confidence coefficient is insufficient, starting a multi-mode verification mechanism, acquiring element composition data by adopting a laser-induced breakdown spectroscopy technology, and acquiring surface topological characteristics by adopting a structured light three-dimensional scanning technology; matching the element data with a component database to generate a component verification result, and comparing the morphology features with a morphology database to generate a morphology verification result; and finally, three types of results are integrated based on a weighted fusion algorithm to generate a final classification decision, and a sorting mechanism is controlled to complete accurate sorting.
Owner:JIANGXI JIANGLING NON-FERROUS METAL DIE-CASTING CO LTD

Boiler combustion multi-objective collaborative optimization control method and system

The invention relates to the technical field of boiler combustion control, in particular to a boiler combustion multi-target collaborative optimization control method and system. The method comprises the following steps: firstly, acquiring coal quality parameters in real time through a laser-induced breakdown spectrum analyzer, carrying out qualitative and quantitative analysis on spectral data by utilizing a machine learning algorithm, constructing a boiler combustion digital twinborn model fusing a combustion mechanism model and a data driving model, and predicting combustion characteristics, NOx generation trends and coking risks under different blending schemes; and then, dynamically generating an optimization instruction combination according to a prediction result of the digital twinborn model, establishing a safety interlocking mechanism while executing the optimization instruction, and automatically switching to a manual control mode when detecting that the working condition fluctuates severely or the model prediction deviation exceeds a preset threshold value. According to the method, the problems of coal quality information lag and untimely combustion adjustment caused by traditional manual sampling are effectively solved, and the economical efficiency, the safety and the environmental protection property of boiler operation are improved.
Owner:HUANENG POWER INT ENERGY DEV CO LTD

Spectral feature and artificial intelligence fused grain heavy metal detection method and system

The invention relates to a data analysis technology, and discloses a spectral feature and artificial intelligence fused grain heavy metal detection method and system.The method comprises the steps that a near-infrared diffuse reflection spectrum, a laser-induced breakdown spectrum and a surface enhanced Raman spectrum of a grain sample are obtained, a matrix accumulation area thermodynamic diagram is constructed according to the near-infrared diffuse reflection spectrum, and the matrix accumulation area thermodynamic diagram is obtained; the method comprises the following steps: optimizing a laser-induced breakdown spectrum based on a thermodynamic diagram of a matrix accumulation area, carrying out dual-channel spatial-temporal feature extraction on a surface enhanced Raman spectrum and the optimized laser-induced breakdown spectrum to obtain a fusion feature vector, carrying out weighted fusion optimization on the fusion feature vector based on a signal-to-noise ratio of multispectral data to obtain an optimized fusion feature vector, and finally obtaining a fusion feature vector. And carrying out migration adaptation on a pre-trained grain detection model by using a pre-marked new grain sample, and carrying out heavy metal content identification on the grain sample by using the adaptive grain detection model according to the optimized fusion feature vector to obtain a heavy metal detection result. The precision of grain heavy metal detection can be improved.
Owner:SHENZHEN SINO ASSESSMENT GRP

Molten steel element content on-line detection system based on laser-induced breakdown spectroscopy technology

The invention discloses a molten steel element content on-line detection system based on a laser-induced breakdown spectroscopy technology, and relates to the technical field of molten steel element content on-line detection, the molten steel element content on-line detection system comprises an excitation system, an acquisition system, a data preprocessing module and a component detection module; the excitation system is used for emitting laser to the molten steel surface to generate plasma; the acquisition system is used for collecting signal light radiated by the plasma; the data preprocessing module is used for carrying out baseline correction and noise reduction processing on the collected original spectral signals; and the component detection module comprises an element content prediction model based on a gating specific expert attention network LSEA-Net and is used for carrying out quantitative analysis on the preprocessed spectral data to obtain the element content of the molten steel. The technology has the advantages that sample preparation is not needed, online rapid analysis and multi-element synchronous detection are achieved, and the technology is suitable for the high-temperature environment and the like, and the requirement of a steelmaking site for real-time component detection is met very well.
Owner:Liupanshan Laboratory

Deep sea in-situ multispectral detection system and use method thereof

The invention provides a deep-sea in-situ multispectral detection system. The deep-sea in-situ multispectral detection system comprises a pressure-resistant cabin, a spectrum acquisition and analysis module, a laser emission and excitation module, a laser path switching and signal regulation and control module, a system control and power supply management module and a data communication and platform interface module, the pressure-resistant cabin body is composed of a main cabin body cylinder section, a front cabin cover, a rear cabin cover and annular reinforcing ribs evenly distributed outside the main cabin body cylinder section. The front cabin cover is provided with a main power supply control base, an external power supply control sealing base, a laser-induced breakdown spectroscopy detection window, a pressure-resistant optical cable cabin penetrating piece and a deflation valve; and various functional modules are arranged on a partition plate in the cabin body. According to the system, an in-situ multispectral detection system which has multispectral joint recognition capability, adapts to deep sea extreme environments and can carry various types of operation platforms is constructed, so that efficient, stable and full-chain in-situ recognition of complex objects such as deep sea fluid, sediment pore water and hydrates is realized, and the detection efficiency and the operation safety are improved.
Owner:崂山国家实验室

Micron-sized single particle quantitative analysis method and system based on silver nanoparticle signal enhancement

The application discloses a kind of microscale single particle quantitative analysis method and system based on nano-silver signal enhancement, it is related to spectral analysis technical field, the method includes: using laser-induced breakdown spectroscopy system to the carbon black particle target sample is carried out spectral data acquisition, obtains target full spectrum data and is pretreated, and then obtains target spectral data matrix;Variable importance measurement algorithm and continuous projection algorithm are used to the variable in the target spectral data matrix is screened, and target variable is obtained;Target variable is input into carbon black particle metal content prediction model, and the content of metal element in carbon black particle target sample is obtained.The application can quickly and accurately determine the content of metal element in carbon black particle target sample.
Owner:NORTHWEST UNIV

Quantitative analysis method and system for rare earth elements of geological rock based on laser-induced breakdown spectroscopy

The invention discloses a geological rock rare earth element quantitative analysis method and system based on laser-induced breakdown spectroscopy, and belongs to the technical field of element spectral analysis, and the geological rock rare earth element quantitative analysis method comprises the following steps: constructing a dual-acquisition system to obtain a spectral signal and a plasma image of a rock sample, and preprocessing the spectral signal and the plasma image; determining rock lithology through a classification model, calculating plasma temperature based on the spectral signal, calculating brightness based on the plasma image, and correcting the plasma temperature; and constructing a multi-category bimodal quantitative analysis model, and inputting the lithology, the corrected temperature and the preprocessed image to complete quantitative analysis. The system comprises a data acquisition subsystem and a quantitative analysis subsystem, and data acquisition time sequence consistency and analysis reliability are guaranteed. According to the method, a bimodal data architecture is adopted, temperature correction and an advanced feature fusion network are combined, the limitation of single spectral data is broken through, the analysis precision and stability are improved, and popularization and application in geological exploration scenes are facilitated.
Owner:JILIN UNIVERSITY

Underwater intelligent detection machine system and method based on laser-induced breakdown spectroscopy

The invention relates to the technical field of spectral analysis, and particularly discloses an underwater intelligent detection machine system and method based on laser-induced breakdown spectroscopy, and the system comprises an underwater carrying platform, an orthogonal double-pulse laser-induced breakdown spectroscopy probe, a multi-sensor cooperative sensing module, a mechanical arm, a central control unit and a water surface control station. The method comprises the following steps: a first pulse vertically builds bubbles, and a second pulse parallelly enters the bubbles and is triggered according to delay time; the central control unit maintains a working distance of 1-2cm based on a distance measurement closed loop, and adaptively adjusts delay time and energy in combination with water depth pressure and cavitation feedback; and the water surface control station carries out denoising normalization on the spectrum calibration and carries out element qualitative and quantitative operation to generate an element distribution atlas. According to the method, plasma is excited in a cavitation bubble gas environment through orthogonal double pulses, and in-situ real-time high-sensitivity element detection of an underwater target is realized in combination with distance closed loop and parameter self-adaption.
Owner:YANTAI VOCATIONAL COLLEGE

A residual learning lightweight convolutional neural network quantification method for LIBS

The application discloses a residual learning lightweight convolutional neural network quantitative method for LIBS. The method comprises the following steps: collecting laser-induced breakdown spectroscopy (LIBS) original spectrum data of training samples; performing spectrum selection on each original spectrum and taking the mean value of the selected spectrum; establishing and training a residual learning lightweight convolutional neural network model by using the selected original spectrum; and performing quantitative analysis on test samples by using the trained residual learning lightweight convolutional neural network model. The application performs quantitative analysis of LIBS by using the residual learning convolutional neural network model. The residual module in the model improves the signal-to-noise ratio and retains the details of the spectrum signal, combines data preprocessing and quantitative analysis organically, and makes the preprocessing more targeted. Attention is concentrated on different effective information to different degrees, and feature selection is completed. The expression ability of the complex nonlinear relationship of the model is improved, and the precision of the LIBS quantitative analysis is improved.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI

Miniaturized laser differential confocal Raman-LIBS microscopic imaging method and device

The invention discloses a miniaturized laser differential confocal Raman-LIBS (laser-induced breakdown spectroscopy) microscopic imaging method and device, and belongs to the technical field of microscopic spectral imaging. The device comprises a double-laser light source system for generating excitation light beams, an optical filter for separating spectral signals, a double-two-dimensional galvanometer light beam scanning system, a microscope objective, an axial scanning system, a differential confocal microscopic detection system, a mixed spectrum detection system and a computer control and display system. A double-two-dimensional micromirror scanning technology and a differential confocal microscopy technology are combined to carry out three-dimensional scanning on a sample, so that high-spatial-resolution detection of the geometrical morphology of the sample is realized; a same-light-path continuous laser and a pulse laser are respectively used as excitation light sources of Raman spectrum and laser-induced breakdown spectrum, and detection is carried out at a focal point on the surface of a sample, so that high-precision spectral information detection on the surface of the sample is realized. The sensor has the advantages of high sensitivity, multiple information, miniaturization, simple structure, wide applicability and the like, and is particularly suitable for the fields of environmental science, biomedicine, geological exploration and the like.
Owner:BEIJING INST OF TECH

Method and device for correcting rotating matrix effect of surface enhanced laser-induced breakdown spectroscopy technology

PendingCN121783952ASimple sample preparationImprove the accuracy of quantitative analysisPreparing sample for investigationAnalysis by thermal excitationLaser-induced breakdown spectroscopyParticle physics
The invention belongs to the technical field of spectral analysis, and discloses a method and a device for correcting a rotating matrix effect of a surface-enhanced laser-induced breakdown spectroscopy technology. The method comprises the following steps: 1, preparing a sample by a standard addition method; step 2, performing Youden calibration and sample preparation; step 3, performing SENLIBS sample preparation and spectrum acquisition; respectively carrying out SENLIBS sample preparation and spectrum collection on the sample solutions obtained in the step 1 and the step 2 to obtain corresponding absolute spectrum intensities of the two layers to be analyzed; step 4, establishing a calibration curve of the SENLIBS technology assisted by the standard addition method; step 5, obtaining a constant error through Youden calibration; step 6, constant error correction is carried out; and calculating the element concentration in the corrected solution to be detected. According to the invention, the constant error introduced by converting the carrier from a liquid phase to a metal carrier can be corrected, and the quantitative analysis accuracy of the SENLIBS technology is improved.
Owner:ANHUI CONCH GRP +2

Sample surface automatic control device and method for component detection

The invention belongs to the technical field of spectral analysis, and particularly relates to an automatic sample surface control device and method for component detection. The device comprises a mounting cylinder, an electrode fixing plate, a pressing block, an electrode assembly, a spring probe, a probe fixing piece, a control system, a lifting module and a container, a light outlet is formed in the bottom of the mounting cylinder, the electrode fixing plate is mounted at the light outlet of the mounting cylinder through the pressing block, and the electrode assembly is fixed to the electrode fixing plate; the spring probe is mounted in the mounting cylinder through a probe fixing piece, the spring probe is matched with the electrode assembly and connected with the control system through a wire, the control system is electrically connected with the lifting module, and the lifting module drives the container to ascend and descend, so that the relative positions of the sample, the electrode assembly and the laser focus are adjusted. The position of the sample in the vertical direction is adjusted in real time through a closed-loop feedback mechanism, the detection deviation of the samples with different heights is accurately compensated, and the focusing light spot of the laser-induced breakdown spectroscopy always stably acts on a target area.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI

Shell molding material performance on-line quantitative evaluation system and method based on wax mold surface modification

The application discloses a shell slurry performance online quantitative evaluation system and method based on wax mold surface modification, and the system comprises a multi-state wetting wax mold preparation module, an automatic coating and multi-parameter rheological observation module and a precise wax residue analysis module which are sequentially connected and cooperatively work; the multi-state wetting wax mold preparation module selectively manufactures patterned areas with different hydrophilic and hydrophobic characteristics including hydrophilic, hydrophobic and super-hydrophobic on the surface of a standard test wax mold by controlling ultraviolet laser processing parameters; the automatic coating and multi-parameter rheological observation module is used for automatically completing slurry coating and quantifying the leveling behavior of the slurry based on machine vision; the precise wax residue analysis module adopts laser-induced breakdown spectroscopy technology and is used for quantitatively detecting the wax residue on the inner surface of the shell after dewaxing. The application also discloses an online quantitative evaluation method, which can provide direct and reliable data support for optimizing the slurry formula and the shell preparation process, thereby realizing automatic, high-precision and low-cost online quality control and reducing the casting scrap rate from the source.
Owner:XI AN JIAOTONG UNIV +1

Angle-adjustable laser-induced breakdown spectroscopy acquisition device

The utility model discloses an angle-adjustable laser-induced breakdown spectrum acquisition device which comprises an objective table, a support frame, an acquisition lens, an ablation angle adjusting assembly, an acquisition distance adjusting assembly and an acquisition angle adjusting assembly, the ablation angle adjusting assembly comprises a first rotary driving part arranged on one side of the supporting frame, and an output shaft of the first rotary driving part is fixed to the side wall of the objective table; the acquisition distance adjusting assembly comprises a linear moving mechanism arranged right above the objective table, and the moving end of the linear moving mechanism is connected with the acquisition lens; the acquisition angle adjusting assembly comprises a second rotary driving part and a connecting frame; in the laser paint removal spectrum monitoring process, spectrum characteristic signals can be obtained when the laser ablation angle, the collection angle and the collection distance serve as single variables, when any one of the spectrum collection angle, the ablation angle and the spectrum collection distance serves as a single factor variable, the other two are kept unchanged, and the spectrum characteristic signals are obtained. Therefore, the influence on the real value of the spectral characteristic signal is reduced.
Owner:CIVIL AVIATION FLIGHT UNIV OF CHINA

A device and method for detecting the purity of a copper alloy melt in a vacuum environment

The application discloses a kind of detection device and method of copper alloy melt purity under vacuum environment, belong to copper alloy purity detection technical field.Detection device includes vacuum smelting cavity module, laser-induced breakdown spectroscopy detection module, temperature monitoring module, central data processing and control module and man-machine interactive display module.Detection method includes system initialization, laser-induced breakdown spectroscopy multi-pulse acquisition, spectrum adaptive baseline compensation, inclusion distribution uniformity quantification and purity comprehensive evaluation.Through segmented polynomial iterative threshold truncation algorithm, adaptive eliminate blackbody radiation and plasma continuous radiation superposition in vacuum high-temperature environment and form complex nonlinear baseline drift;Inclusion distribution uniformity index and concentration purity sub-index are weighted and fused, realize the comprehensive quantitative characterization of melt purity concentration dimension and uniformity dimension, and realize the real-time online quality determination of refining process by comparing with qualified threshold.
Owner:SHENYANG YIFAN METAL MATERIAL CO LTD

Method and device for obtaining local gas temperature and equivalence ratio of a combustion field

PendingCN122651681AHydrogenHydrogen atom
The application discloses a method and device for obtaining local gas temperature and equivalence ratio of a combustion field. Laser-induced breakdown spectroscopy technology is used to form a target plasma by laser-induced breakdown of a flame to be measured. Firstly, reference signals of the target plasma are collected to obtain a reference signal set, and current hydrogen atomic spectral line broadening and current plasma temperature of the target plasma are calculated. Then, the reference signals are input into a gas temperature characterization model to obtain a local gas temperature. The reference signals and spectral line intensities are input into a spectral line intensity correction model to obtain a corrected spectral line intensity set. Finally, the corrected spectral line intensity set, the current plasma temperature and the current hydrogen atomic spectral line broadening are input into an equivalence ratio measurement model to obtain the equivalence ratio of the flame to be measured. Through step-by-step correction of spectral intensity, the application can avoid the influence of temperature on equivalence ratio measurement, improve the accuracy of equivalence ratio measurement, and realize local gas temperature measurement.
Owner:TSINGHUA UNIVERSITY +1

LIBS Quantitative Analysis Method Combining Wavelet Transform and Lightweight Convolutional Neural Networks

This invention relates to the field of spectral analysis, specifically a quantitative analysis method for LIBS combining wavelet transform and lightweight convolutional neural networks. The specific steps are as follows: (1) Spectral acquisition. Spectral data is acquired based on laser-induced breakdown spectroscopy (LIBS) technology; (2) Data set partitioning. The data is divided into training, validation, and test sets; (3) One-dimensional LIBS spectra are transformed into two-dimensional image representations using wavelet transform; (4) The images are downsampled; (5) The image data obtained in step (4) is modeled using a lightweight convolutional neural network (L-CNN), and model parameters are determined based on the evaluation metrics of the validation set; (6) A regression model is re-established using the training set under optimized model parameters; (7) The generalization performance of the model is verified using test set data; (8) The elemental concentrations of unknown samples are estimated using the established regression model. The proposed quantitative analysis method for LIBS combining wavelet transform and lightweight convolutional neural networks can be practically applied to on-site monitoring of slurry grade in mineral processing plants.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI

Method and system for wear diagnosis of a fuel system of a diesel engine

The present disclosure provides a method and system for diagnosing wear of a fuel system of a diesel engine. The method comprises: acquiring injection parameter data of the fuel system in an injection combustion process, and pressure signal data in an oil pipe; collecting particulate matters in exhaust gas in the injection combustion process by using an electrostatic deposition sampler, and shooting images of the particulate matters by using a microscopic camera device to extract morphology data of the particulate matters from the images; emitting pulsed laser to the particulate matters by using a laser-induced breakdown spectrometer to excite plasma emission characteristic spectrum in the particulate matters to obtain composition data of the particulate matters according to the characteristic spectrum; extracting features of the injection parameter data, the morphology data of the particulate matters and the composition data of the particulate matters respectively to obtain injection features, morphology features of the particulate matters and composition features; performing time-frequency analysis on the pressure signal data to obtain pressure features; and inputting the injection features, the pressure features, the morphology features and the composition features into a wear diagnosis model to obtain a wear diagnosis result.
Owner:TIANJIN UNIV

A coal sample assay value prediction method and device and computer equipment

This application belongs to the field of coal product testing and analysis technology, and particularly relates to a method, device, and computer equipment for predicting coal sample test values. The method, device, and computer equipment provided in this application, based on spectral analysis, predict coal sample test values ​​by collecting near-infrared and laser-induced breakdown spectra of the original coal sample, followed by wavelet decomposition and dimensionality reduction to generate a feature fingerprint matrix. This achieves effective fusion and dimensionality reduction of the two spectral data, preserving key spectral features of the organic and inorganic elements in the coal sample, providing fundamental data for subsequent model training. Furthermore, a genetic algorithm is used to optimize the feature weight vector of the feature fingerprint matrix to reconstruct the feature space. Abnormal samples are eliminated by comparing the ash content prediction with a preset threshold, highlighting the key spectral features for test value prediction. By eliminating interfering samples, the specificity of the feature space and the reliability of the data are improved.
Owner:SHENHUA SHENDONG COAL GRP +1

Automatic activator selection device and method based on pyrite surface oxidation state

The invention discloses an automatic activator selection device and method based on the surface oxidation state of pyrite, and the method comprises the steps: carrying out the online detection of the spectrums of Fe, S and O elements on the surface of pyrite in ore pulp through laser-induced breakdown spectroscopy, constructing comprehensive oxidation criterion parameters according to the spectrums, and judging the oxidation grade of the parameters; then making a decision in real time and precisely adding a matched copper ion or lead ion activating agent; quantitative recognition of the mineral surface state and automatic control of activating agent adding are combined, so that objectification and precision of activating agent selection are achieved, agent waste caused by erroneous judgment of artificial experience is effectively avoided, the quick response capacity to ore property fluctuation is greatly improved, and the method is suitable for industrial production. Therefore, the flotation index of the pyrite is stabilized and optimized.
Owner:TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

Isotope quantitative analysis method and system based on laser-induced breakdown spectroscopy

The invention provides an isotope quantitative analysis method and system based on laser-induced breakdown spectroscopy, and relates to the technical field of laser spectrums.The method comprises the steps that a liquid analysis environment is constructed according to the form of a sample to be detected; focusing a pulse laser beam in the liquid analysis environment to ablate a sample to be detected so as to generate plasma; collecting an emission spectrum signal generated in the plasma cooling process; and extracting an isotope characteristic spectral line of a target element from the emission spectrum signal, and carrying out isotope quantitative analysis based on spectral line information of the isotope characteristic spectral line. According to the device and the method, spectral line broadening and self-absorption can be effectively inhibited in mechanism, the resolution ratio of the isotope spectral line is remarkably improved, the device is simple, the cost is low, and a reliable and economical solution is provided for realizing high-performance isotope in-situ and rapid quantitative analysis in the fields of nuclear industry and the like by a laser-induced breakdown spectroscopy technology.
Owner:INST OF MODERN PHYSICS CHINESE ACADEMY OF SCI +1

Intelligent sorting system and method for renewable resource categories

The invention discloses an intelligent sorting system and method for renewable resource categories, and relates to the technical field of renewable resource sorting. The system comprises a material feeding module, a material screening module, a material vibration feeding module, a material information capturing module, an LIBS detection module and a material discharging separation module which are connected in sequence. According to the system, materials of different sizes and specifications are processed through the screening module, high-speed stable feeding of more than 100 blocks per minute is achieved through the vibration feeding module, excitation points are accurately positioned through the information capturing module, component analysis is conducted through the LIBS detection module by means of the laser-induced breakdown spectroscopy technology and the machine learning algorithm, and finally accurate separation is achieved through the discharging module. The problems that traditional manual sorting is low in efficiency and poor in accuracy, and chemical elements cannot be visually identified are solved, and efficient and automatic sorting of renewable resources is achieved.
Owner:OUYE LIANJIN RENEWABLE RESOURCES CO LTD

LIBS spectrum processing method and device based on residual skewness estimation and storage medium

The invention relates to the technical field of laser-induced breakdown spectroscopy data processing, in particular to an LIBS spectrum processing method and device based on residual skewness estimation and a storage medium. The invention discloses an LIBS (Laser-induced Breakdown Spectroscopy) processing method based on residual skewness estimation. The method comprises the following steps: step S10, acquiring an observation signal of an LIBS; s20, on the basis of morphological analysis of the LIBS spectrum, constructing a spectrum model by using prior distribution of a Bayesian framework; step S30, based on the updated hidden variable observation signal, analyzing the updated hidden variable spectrum model by using variational inference to obtain iteration deviation and posterior analysis data; s40, judging whether the updating hidden variable iteration deviation meets an iteration termination requirement or not; if yes, iteration is stopped, and actual spectrum data is obtained according to the updated hidden variable posteriori analysis data; and if not, executing the step S20. According to the method, the spectrum model is analyzed by utilizing variational inference, the optimal convergence point is judged, effective separation of observation signals is realized, posterior analysis data is obtained, and the spectrum estimation precision and the calculation efficiency are greatly improved.
Owner:SUZHOU NUCLEAR POWER RES INST CO LTD +1

Method for enhancing particulate matter LIBS signal through combination of conductive substrate migration and electric arc pre-ablation

The invention discloses a method for enhancing a particulate matter LIBS signal by combining conductive substrate migration with electric arc pre-ablation, and belongs to the technical field of environmental monitoring and spectral analysis. The method comprises the following steps: acquiring a sampling medium carrying atmospheric particulates; physically transferring the atmospheric particulates on the sampling medium to a viscous conductive substrate; a laser-induced breakdown spectroscopy system is adopted, based on the assistance of an electric arc pre-ablation unit, spectral signal collection is carried out on atmospheric particulates migrated to the viscous conductive substrate, and the enhancement effect of the device is verified through experimental comparison. The problems of particulate matter splashing and sampling medium matrix interference are effectively solved through conductive substrate migration, the spectral signal strength and stability are remarkably improved by combining the purification and pre-ionization effects of electric arc pre-ablation, rapid, high-sensitivity and stable detection of trace heavy metals in atmospheric particulates is achieved, and the method is suitable for large-scale popularization and application. And a reliable technical means is provided for environmental heavy metal pollution detection.
Owner:ZHEJIANG UNIV +1

Improved procedure to enable accurate measurements of high vapor pressure elements in a molten metal using laser-induced breakdown spectroscopy

A method for performing reproducible, accurate, and virtually temperature-independent quantitative measurements of one or more high-vapor-pressure elements in a liquid metal or alloy sample using laser-induced breakdown spectroscopy (LIBS). This method introduces one or more selectively reactive species and a virtually inert carrier gas to modify the local environment at the LIBS sampling point of the liquid metal or alloy and its surroundings. This results in a significant and immediate reduction of vapor effects on the LIBS signals of high-vapor-pressure species in molten metals or alloys, partially eliminating the temperature dependence of these elements and their dependence on spurious environmental factors, thereby reducing the associated uncertainty in LIBS measurements.

Quantitative analysis method for clean coal and medium coal based on molecular radiation characteristics of LIBS

This invention provides a quantitative analysis method for clean coal and middlings based on LIBS molecular radiation characteristics. The steps include: collecting spectral data from lump raw coal samples; selecting standard coal samples, acquiring spectra using laser-induced breakdown spectroscopy (LIBS) and determining the reference spectrum of molecular free radicals, and extracting the characteristic intensities of molecular free radicals from the reference spectrum; extracting spectral intensities within the wavelength range corresponding to molecular free radicals from the spectral data of the raw coal samples; calculating the similarity between the raw coal sample spectrum and the molecular free radical spectrum in the reference spectrum; classifying the spectral data according to the similarity; preprocessing the classified spectral data and establishing a quantitative analysis model to obtain prediction results for different types of coal. This method can efficiently achieve rapid identification and industrial parameter analysis of clean coal and middlings in raw coal, significantly improving the automation and intelligence level of coal processing, and providing strong support for efficient energy utilization and energy conservation and emission reduction.
Owner:HEBEI GEO UNIVERSITY

Spectroscopy system for rapid detection of spatiotemporal correlation gas products of energetic materials

The present application relates to a kind of energetic material space-time related gas product rapid detection spectrum system, belong to energetic material space-time related gas product detection field.The system will pulse laser act on energetic material and induce to produce gas, obtain the spectrum of space-time related gas product by laser-induced breakdown spectroscopy technology quickly, realize the rapid detection of energetic material gas product.The system will also combine laser-induced breakdown spectroscopy technology, gas sensing module and tunable diode laser absorption spectroscopy (TDLAS) technology together, and interactively detect gas product.The present application can realize the research under different vacuum degree and different gas environment, realize the rapid analysis of energetic material space-time related gas product, and it is important to the performance evaluation of energetic material.
Owner:BEIJING INST OF TECH

Laser-induced breakdown spectroscopy device

1. The name of the design product: laser-induced breakdown spectroscopy equipment. 2. The use of the design product: analyzing and identifying the elemental composition of the measured substance by the method of laser-induced atomic spectroscopy (LIBS). By exciting the sample plasma with high-energy laser and combining with ultra-high resolution spectrometer and automatic focusing function, fast and accurate material composition analysis is realized. It is widely used in the fields of geology, metallurgy, environmental monitoring, material science, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.
Owner:SHANGHAI OCEANHOOD OPTO ELECTRONICS TECH CO LTD

A method for constructing a chemical rapid LIBS classification and identification model, medium and system

ActiveCN122310239Beliminate distractionsSolve the technical problem of significant decline in classification accuracySpectral databasePrediction probability
The application provides a kind of management and control chemical fast LIBS classification identification model construction method, medium and system, belongs to management and control chemical technical field, the application is by collecting mercury argon reference lamp spectrum to carry out wavelength calibration, according to atomic spectrum database extraction management and control element characteristic transition wavelength window and compressed to low-dimensional feature space by sparse self-encoder, with hydrogen line starker broadening and Boltzmann graph slope method real-time inversion electron density and electron temperature and to compressed characteristic matrix is physically normalized, calculates plasma drift index to adaptively adjust plasma parameter decoupling double-flow condition graph network update strategy, the normalized characteristic matrix and physical diagnostic value are input into the artificial intelligence network to output element concentration vector and class prediction probability, solve the technical problems that plasma parameter fluctuation leads to laser-induced breakdown spectroscopy classification feature instability, classification accuracy significantly decreases under the condition of cross-instrument and cross-matrix.
Owner:INSPECTION & QUARANTINE TECH CENT SHANDONG ENTRY EXIT INSPECTION & QUARANTINE BUREAU