222 results about "Spectral line" patented technology

The invention relates to a multi-target line spectrum characteristic distinguishing method based on DBSCAN clustering, and the method comprises the following steps: 1, receiving space low-resolution sonar platform time domain data, and carrying out the short-time frequency modulation Fourier transform of the space low-resolution sonar platform time domain data, so as to obtain a frequency modulation Fourier transform spectrum; 2, corresponding fi of peak values is extracted from the frequency modulation Fourier transform result of each time period at each frequency, so that an instantaneous frequency matrix F of different frequencies and different times is obtained, F = [f1 (tau), f2 (tau),..., fi (tau)], and i represents a corresponding spectral line frequency; and step 3, respectively removing outliers caused by noise or interference in the fi (tau). According to the method, dense data points can be found from the sparse region, and the data points in the sparse region are marked as noise, so that the interference of noise points can be better eliminated.

The invention provides a method for rapidly detecting wastewater pollutants by atomic fluorescence spectrometry, and belongs to the technical field of wastewater treatment.The method comprises the steps that atomic fluorescence spectrum data of a wastewater sample are collected to establish a spectrum interference matrix to characterize the spectral line overlapping condition between elements; abnormal values are recognized through statistical analysis, a spectrum outlier matrix is built, abnormal fluorescence intensity distribution is recorded, sample matrix non-characteristic fluorescence signals are measured, a background fluorescence interference matrix is built, background interference intensity is quantized, system signal change rules are continuously monitored and detected, and a signal drift tendency matrix is built to predict the signal drift tendency. A spectrum interference matrix and a background fluorescence interference matrix are processed through a spectrum analytic function, compensation factors are calculated, spectrum overlapping and background interference influences are corrected, system drift is corrected in real time, and a final wastewater pollutant concentration detection result is output, so that the technical problem of unstable detection precision caused by coupling of multiple interference factors is solved.

The invention discloses a full-locking integrated microcavity optical comb based on coherent population trapping spectral lines, and belongs to the technical field of integrated microcavity optical combs. The full-locking integrated micro-cavity optical comb comprises a laser generation module, a frequency reference subsystem and a micro-cavity optical comb system. The laser generation module is used for generating two paths of laser, the frequency reference subsystem modulates one path of laser, a modulated optical signal is emitted into the atomic gas chamber system, and after transmission light is demodulated and subjected to phase-locked amplification processing, an optical frequency signal and a microwave signal which are locked to an atomic spectral line are obtained; and the optical frequency signal is fed back to the laser generating module to realize optical frequency locking. And the microcavity optical comb system adopts a microwave signal generated by the frequency reference subsystem as a frequency reference, and modulates the other path of laser to serve as pump light to enter the optical microcavity, so that optical comb output of a soliton state in the optical microcavity is realized. According to the invention, a single quantum system is taken as a reference, the problem of full locking of the micro-cavity optical frequency comb is effectively solved, and the system integration degree is relatively high.

The invention discloses an improved integrated learning rock debris element content analysis system and method based on laser spectrum information. The method comprises the following steps: step 1, collecting a rock debris element LIBS spectrum data set; 2, dividing the rock debris element LIBS spectral data set into a training set and a test set, and carrying out noise reduction processing on original spectral data; 3, selecting characteristic spectral lines of the rock debris analysis elements according to the correlation coefficients, then selecting correlation interference spectral lines of the analysis elements, respectively combining the characteristic spectral lines with different correlation interference spectral lines to obtain more than one spectral line combination, and taking the spectral line combination as input of an integrated learning device; 4, constructing an ant colony optimization algorithm to optimize and improve the least square support vector machine ensemble learning base learner as an ensemble learner; and 5, designing a weighted distribution integration strategy of the base learners, and completing the optimal combination of the base learners. According to the method provided by the invention, a strong learner is constructed by combining a plurality of base learners, so that the accuracy and robustness of prediction are improved.

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 quantum magnetometer device based on a diamond nitrogen-vacancy color center. The quantum magnetometer device comprises a laser emission unit used for generating a 532nm laser beam based on a laser trigger signal; the beam shaping unit is used for focusing the laser beam to the diamond sample; the diamond sample comprises an NV color center array with specific depth on the surface or in the diamond sample, and electrons in NV color centers are excited based on laser beams to transition and generate fluorescence; the fluorescence collection unit is used for separating exciting light from 650-800nm fluorescence signals and converting the fluorescence signals into multi-channel electric signals; the microwave radiation unit is distributed around a diamond sample space and emits three independently regulated microwave frequencies at the same time; and the control and processing unit is used for receiving and processing the multi-channel electric signals in real time and analyzing magnetic field parameters based on the optical detection magnetic resonance spectral line. Synchronous measurement of a three-dimensional magnetic field is realized, and the limitation of single-axis measurement of a traditional NV magnetometer is broken through.

The invention discloses a feature extraction method and system based on heterogeneous multi-modal information fusion, and the method comprises the steps: constructing a spectrum reference system through synchronously collecting the data of an image sensor, a laser radar and an infrared spectrometer carried by an unmanned plane, achieving the unified calibration of image data, and generating a unified image reference through employing a feature field fusion technology; extracting multi-modal characteristic spectral lines, performing complementary analysis to confirm fusion characteristics, and establishing a dynamic weight table by matching working frequency bands; a separation factor is generated based on correlation analysis of a point cloud density field and a modal characteristic spectral line, a correction coefficient is generated in combination with characteristic fluctuation analysis, and a pure visual characteristic signal is identified; a mapping transformation kernel is constructed to realize standardized conversion of feature data, a migration coefficient is generated through spatial positioning analysis and feature intensity analysis, a regulation and control instruction is generated through multi-level feature processing, a weight table is adjusted based on the regulation and control instruction to form closed-loop optimization, a hierarchical feature extraction signal is generated, and deep fusion and intelligent extraction of features are realized.

The invention discloses a non-natural earthquake phase identification method based on image processing, and relates to the technical field of image processing, and the method comprises the following steps: capturing a continuous signal with the amplitude changing with time in a seismic wave propagation process in real time based on a sensor distributed by an earthquake monitoring station network, forming an original amplitude sequence, and carrying out the calculation of the original amplitude sequence; collected continuous signals are converted into three-channel images, and the image brightness is automatically adjusted according to the seismic wave data dynamic range. According to the method, a seismic wave multi-dimensional analysis system is constructed through a three-channel construction strategy, the first channel clearly shows the time domain difference between natural seismic progressive fluctuation and non-natural seismic pulse type sudden change, and the second channel accurately captures microsecond-level sudden change which is easy to neglect in traditional time domain analysis; the third channel clearly distinguishes natural earthquake low-frequency energy concentration and non-natural earthquake intermediate-frequency characteristic spectral lines, and the adaptive brightness adjustment technology aims at the intensity difference of multi-source earthquake signals, improves the distinguishing degree of non-natural and natural earthquake edges, and builds a recognition foundation firmly.

The invention relates to the field of mining laser gas detection, in particular to a modulation and demodulation method and system for carrier noise suppression, and the modulation and demodulation method comprises the following steps: S1, generating a driving current sequence through a laser gas sensor; s2, collecting a light intensity sequence to carry out data reconstruction; s3, extracting a harmonic signal, sending the reconstructed sequence into a lock-in amplifier, and respectively extracting a second harmonic signal and a first harmonic signal; and S4, detecting the gas concentration through the ratio by using the mapping relation between the gas concentration and the ratio of the second harmonic signal to the first harmonic signal. According to the method, a continuous data discrete reconstruction technology is introduced into a modulation and demodulation process, and a reference time sequence is generated by utilizing the characteristics of a laser output signal, so that self-matching and dynamic adjustment of modulation frequency are realized, external signal interference is effectively avoided, and the harmonic extraction stability is improved; meanwhile, the hardware structure is simplified, and the adaptability of the system to different gas absorption spectral lines is enhanced.

The invention relates to the technical field of ore raw material analysis, and discloses an intermediate fusion strategy ore sample classification method based on random model combined data, and the method comprises the following steps: S1, collecting LIBS spectrum and Raman spectrum data of a manganese ore sample; s2, preprocessing the spectral data; s3, performing dimensionality reduction on the preprocessed LIBS and Raman data by adopting principal component analysis; s4, splicing the feature matrixes after dimension reduction to construct an intermediate fusion data set; s5, training a random forest classification model based on the intermediate fusion data set; and S6, carrying out classification and identification on the manganese ore samples by utilizing the trained model. According to the method, metal element characteristic spectral lines captured by the LIBS spectrum and molecular vibration characteristics identified by the Raman spectrum are organically integrated through an intermediate fusion strategy, two-dimensional identification is achieved, redundant information is effectively eliminated while main characteristics of the spectrum are reserved, and the accuracy and reliability of manganese ore sample classification are remarkably improved.

The invention relates to the technical field of spectrograph temperature drift calibration, in particular to a crop spectrograph temperature drift calibration method based on dynamic temperature drift compensation, which comprises the following steps of: acquiring an actual wavelength drift deviation value of each temperature measurement point and each characteristic spectral line; obtaining a predicted wavelength drift deviation value of each temperature measurement point and each characteristic spectral line; carrying out calibration processing on the crop spectrometer according to the deviation; and obtaining the corrected wavelength. According to the method, original data under different temperature points and different characteristic spectral lines are collected, and the nonlinear relation between the temperature and the wavelength drift distance is captured, so that the wavelength drift distance is expanded to the full wave band, compared with a temperature drift calibration mode of an existing crop spectrometer, the wavelength drift distance in a full temperature range can be obtained in the mode, and the accuracy of temperature drift calibration of the crop spectrometer is improved. And the nonlinear relationship between the temperature and the wavelength drift distance is considered, so that the accuracy and the stability of temperature drift calibration of the spectrometer are improved.

The invention discloses a multi-frequency sine coherent undersampling method and device, and the method comprises the steps: judging pqh < lt > for different harmonic frequencies h; judging whether N / 2 is true or not, and if yes, taking the value of the recovery spectral line Rh of the h-th harmonic as pqh; otherwise, performing pqh% Nlt; when N / 2 is established, the value of the recovery spectral line Rh of the hth harmonic wave is pqh% N, pqh% Nlt; when N / 2 is not satisfied, the value of the recovery spectral line Rh of the hth harmonic wave is N-pqh% N; n values which do not cause spectral line superposition are screened out one by one through accumulation of the sampling point number N, a corresponding spectral line mapping relation is obtained, and the spectral line position of the multi-frequency sinusoidal signal under the normal sampling condition is recovered and obtained. According to the method, all possible under-sampling frequencies of any given frequency spectrum distribution multi-frequency sinusoidal signals and the positions of frequency spectrum aliasing frequency points after under-sampling are rapidly solved, and the original frequency spectrum of the multi-frequency sinusoidal signals is recovered in a lossless mode.

The invention discloses an inversion method for obtaining an N2O gas volume mixing ratio profile based on a short-wave infrared laser occultation detection technology. The inversion method comprises the following steps: calculating a short-wave infrared atmospheric refractive index profile at the center position of an N2O gas absorption spectral line; calculating a collision parameter profile according to the short-wave infrared atmospheric refractive index profile, respectively calculating atmospheric transmittance profiles of an N2O gas absorption spectral line and a reference spectral line based on normalized energy data of infrared laser occultation detection, and executing Abel integral inverse transformation on a difference value between the atmospheric transmittance profiles to obtain an N2O gas absorption coefficient profile; converting the N2O gas absorption coefficient profile into an N2O gas initial volume mixing ratio profile; and by taking the N2O gas initial volume mixing ratio profile as an initial value, carrying out analog calculation on an atmospheric transmittance profile after N2O gas absorption, constructing a cost function, carrying out iterative optimization, outputting an N2O gas volume mixing ratio profile, and obtaining a final inversion result. According to the method, the inversion precision is improved.

The invention is applicable to the technical field of marine oil and gas resource exploration, and provides an intelligent monitoring system and method for carbon isotopes of wellbore gas, the system comprises an explosion-proof shell, and further comprises a gas pretreatment module for removing impurities affecting CH4 and C2H6 gas spectral lines and adjusting temperature and pressure of measured gas; the optical cavity detection module comprises a laser, a collimator, a detector and an MPC, and is used for completing the energy level excitation of the infrared light to the gas to be detected, the injection of a detection light source into the MPC from the laser, the multiple reflection of the detection light in the MPC, the built-in multi-beam laser light source, and the absorption detection of the multi-component gas through a single optical cavity; and the data processing module is used for collecting, processing, displaying and outputting the measured data in real time. The system is high in detection precision, high in environmental adaptability, high in response speed and miniaturized in equipment, and has a wide market prospect.

The invention discloses a method for determining and analyzing primary and secondary elements in dolomite and magnesite based on ICP-AES (Inductively Coupled Plasma-Atomic Emission Spectrometry), and relates to the technical field of determination and analysis of the primary and secondary elements, the method comprises the following steps: obtaining determination samples of the dolomite and the magnesite, pretreating the determination samples, obtaining spectral line interference conditions of each element based on the determination samples, and determining the spectral line interference conditions of the elements based on the spectral line interference conditions; the method comprises the following steps: pre-processing measured data, drawing a calibration curve of each element, obtaining the interference condition of the calibration curve of each element, and carrying out ICP-AES measurement on the pre-processed measured data to obtain a characteristic spectral line. According to the method, the source and the influence degree of the interference spectral line are determined by analyzing the spectral line interference condition, then targeted measures are adopted for correction, and meanwhile, concentration measurement deviation caused by chemical interference, physical interference, ionization interference and other factors is found by evaluating element concentration interference factors, so that the accuracy of the concentration measurement is improved. And correction is carried out by means of optimizing a sample pretreatment method, adjusting instrument working conditions and the like, so that the reliability and the stability of the analysis method are improved.

The invention provides a thermal injection gas temperature measurement method and system based on spectral absorption, and the method comprises the steps: obtaining absorption spectrum signals before and after ignition of thermal injection gas, and carrying out the baseline correction of the absorption spectrum signals after ignition based on the absorption spectrum signals before ignition; performing environmental absorption interference processing on the corrected post-ignition absorption spectrum signal to obtain a target absorption signal reflecting the self absorption characteristic of the thermal injection gas; based on the target absorption signal, total integral absorbance in the two different measurement frequency bands is determined, and according to the ratio of the total integral absorbance of the two different measurement frequency bands, the pre-established mapping relation between the total integral absorbance ratio and the temperature is combined, and the temperature of the thermal injection gas is obtained through inversion. The invention provides a thermal injection fuel gas temperature measurement method based on a combined absorption spectral line so as to solve the problems of alignment of absorption signal base lines, interference removal of absorption components outside fuel gas jet flow, temperature inversion based on the combined absorption spectral line and the like, and a high-temperature fuel gas jet flow temperature measurement result is obtained.

The invention discloses a resonant frequency tracking control method and system for a diamond nitrogen vacancy color center, and belongs to the technical field of quantum sensing. The method comprises the following steps: setting an initial center frequency output by a microwave source; in the tracking control process, fluorescence signal changes generated by the diamond nitrogen vacancy color center under the microwave frequency modulation effect are recorded, a full-amplitude demodulation amplitude value R is obtained through demodulation, and whether the full-amplitude demodulation amplitude value R is smaller than a dead zone threshold value or not is judged; if yes, the center frequency output by the microwave source is not changed; if not, calculating the microwave frequency regulation quantity delta f according to the full-amplitude demodulation amplitude R; determining the adjusting direction of the center frequency f0 of the microwave source according to the phase-frequency characteristic and the real-time demodulation phase difference delta phi in the current frequency tracking control process; according to the microwave frequency adjusting quantity delta f and the adjusting direction, the center frequency of the microwave source is adjusted for resonant frequency tracking; wherein the phase-frequency characteristic is the characteristic of the demodulation spectral line on the two sides of the resonant frequency. The robustness and the accuracy of the resonance frequency tracking method are enhanced.

The invention relates to a burst communication adaptive carrier synchronization method based on FFT. The method comprises the following steps: carrying out a first round of nonlinear transformation on a captured first sequence, then sequentially carrying out Fourier transformation, selecting even number spectrums from a plurality of amplitude spectrums, screening position indexes of spectral lines corresponding to a first peak value and a second peak value of each spectrum in the even number spectrums, and forming a position index set; solving an intersection of all position index sets of the even number spectrum, selecting a position index element with the highest overlapping degree, and determining a frequency offset coarse estimation value according to the position index element; obtaining a first peak value, a second peak value and a third peak value corresponding to the position index element from the plurality of amplitude spectrums, and then carrying out weighted averaging to obtain a final position index element; according to the final position index element, calculating to obtain a frequency offset precise estimation value; summing the coarse frequency offset estimation value and the fine frequency offset estimation value to obtain a frequency offset estimation overall value; and realizing carrier synchronization according to the frequency offset estimation overall value of the current round.

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.

The invention relates to the technical field of spectrograph calibration, in particular to a spectrograph spectrum calibration and radiometric calibration method. According to the technical scheme, the method comprises spectrum calibration and radiometric calibration, the spectrum calibration comprises the steps that firstly, a standard light source is adopted for conducting initial spectrum calibration on an uncalibrated spectrometer to obtain an initial spectrum calibration equation, and then optical differential thickness data is obtained through a sample gas measurement experiment and combined with standard gas absorption cross section data; and calculating a wavelength difference value to correct the initial spectrum calibration equation to obtain a final spectrum calibration equation. The wavelength absolute error precision after spectrum calibration is improved by nearly one order of magnitude, the radiometric calibration error is greatly reduced, the stability and accuracy of radiometric calibration are remarkably improved, the problems that a traditional calibration method is limited in spectral line, poor in light source stability and large in extrapolation error are effectively solved, and the method is suitable for popularization and application. And a solid guarantee is provided for high-precision application of the spectrograph in the fields of environmental monitoring, material science, remote sensing technology and the like.

The invention relates to the technical field of metal material structure display, in particular to a DD432 alloy structure display method which comprises the following steps: S1, pretreating the surface of a DD432 alloy sample to obtain a to-be-detected surface; s2, scanning the surface of the sample by adopting a laser-induced plasma spectrum technology, and continuously controlling a laser beam scanning path by utilizing a three-dimensional mobile platform; s3, plasma emission spectrum data are collected, and characteristic spectral lines of Ni, Cr, Co, Mo, Al and Ti elements are identified; s4, converting the spectral data into structure characteristic information of grain size, precipitated phase distribution and grain boundary morphology through a machine learning algorithm; and S5, reconstructing a microstructure image based on the microstructure feature information. According to the method provided by the invention, the LIBS technology is adopted, complicated sample pretreatment is not needed, tissue information can be quickly obtained, and the sample is not damaged.

The invention relates to the technical field of pre-diagnosis and health management, in particular to a low-voltage switch cabinet insulation safety diagnosis method based on discharge characteristic analysis, and the method comprises the steps: synchronously collecting original optical signals through a multispectral sensor array; performing energy compensation by using a multipath reflection equivalent attenuation model to generate reconstructed spectral line intensity data; determining a virtual time zero point by using an autocorrelation function and generating virtual phase analysis atlas data; and constructing an energy spectrum gravity center space coordinate in the energy spectrum feature space to extract a gravity center red shift feature quantity. According to the method, through multi-band relative attenuation rate compensation, power frequency period statistical peak value extraction and energy spectrum space gravity center mapping, the diagnosis problem that the insulation state is difficult to quantitatively evaluate due to signal distortion, reference phase loss and fuzzy characteristic evolution in a non-line-of-sight environment is solved.

The invention discloses a pipeline welding quality detection method suitable for a spliced pipeline, and relates to the field of pipeline welding quality detection.The pipeline welding quality detection method comprises the steps that after a welding area is pretreated, high-energy laser pulses are focused to the surface of a target welding area, high-temperature plasma is generated, and elements are excited to emit light with the characteristic wavelength; the method comprises the following steps: focusing a high-energy pulse laser on the surface of a welding area, identifying a light-emitting signal, decomposing the light-emitting signal into spectral lines with different wavelengths, marking characteristic peaks in a curve, matching the characteristic peaks with a built-in standard spectrum library, identifying types and distribution conditions of elements contained in a sample, and judging whether the welding area has microdefects or not. Elements in a welding material are excited and emit light with a specific wavelength, and a spectrograph is used for collecting and analyzing a spectrum, so that the element composition and distribution condition of a welding area can be accurately determined, microdefects which are difficult to detect by a traditional method are found, and more comprehensive data are provided for welding quality evaluation.

The invention discloses a double-standard-sample multi-spectral-line correction LIBS quantitative accuracy improving method. The method comprises the following steps: acquiring LIBS spectral data of a to-be-detected sample and two standard samples; acquiring multiple pieces of characteristic spectral line data of to-be-detected elements of the to-be-detected sample and the two standard samples from the LIBS spectral data; calculating a spectral line intensity correction factor of the second standard sample according to the characteristic spectral line data; calculating the characteristic spectral line theoretical intensity of the to-be-detected sample according to the spectral line intensity correction factor of the second standard sample; establishing a correction curve according to the actual spectral line intensity of the first standard sample and the theoretical intensity of the characteristic spectral line of the to-be-detected sample; and calculating the to-be-detected element content of the to-be-detected sample according to the correction curve. By adopting a double-standard-sample multi-spectral-line correction algorithm, the accuracy of quantitative analysis of a single-point multi-spectral-line correction method can be remarkably improved, and meanwhile, the defect that the calculation process of a calibration-free laser-induced breakdown spectroscopy algorithm is tedious is overcome.

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.

The invention discloses a gas concentration detection method and device and a storage medium. The method comprises the following steps: acquiring the concentration C0, spectral line intensity S0, optical path L, peak-to-peak value A0 and environment pressure intensity P of standard gas, and acquiring a calibration coefficient X according to C = A / X * (S * P * L); acquiring spectral data and spectral line intensity S1 of the to-be-detected gas; carrying out filtering processing on the obtained spectral data; carrying out harmonic processing on the filtered spectrum data, and calculating a peak-to-peak value A1 in harmonic data; if it is judged that the effective absorption peak exists, the concentration value of the gas to be detected is calculated according to the spectral line intensity S1, the optical path L, the peak-to-peak value A1, the environment pressure intensity P, the calibration coefficient X and C = A / X * (S * P * L). The detection method is implemented through the gas concentration detection device, a plurality of key parameters of the standard gas are obtained, the calibration coefficient X is calculated by using the parameters, and the calibration coefficient is combined with filtering and harmonic processing of spectral data of the detected gas, so that the accuracy of a detection result is improved.

The application discloses a trace element detection system and method, and belongs to the technical field of spectral quantitative detection. The system comprises a laser, a sample stage and a spectral signal acquisition system. The laser ablates a sample to generate plasma after passing through a half-wave plate, a Glan prism, a dichroic mirror and a lens group. The acquisition system comprises a wide / narrow band spectral signal collection system and a trigger system: the wide band system comprises an axial and first lateral light path, couples full spectrum signals to a spectrometer, and is used for matrix identification; the narrow band system comprises a second lateral collection lens, a light splitting element and a UV / visible double channel, each channel is sequentially provided with a neutral density filter, an ultra-narrow band filter and a plano-convex lens, and is connected to a photomultiplier tube to an oscilloscope, and high-sensitivity detection of specific element characteristic spectral lines is realized; and the trigger system is used for triggering the spectrometer to acquire. The wide band and narrow band collaborative architecture is adopted, and both material matrix identification and high-precision quantitative detection of trace elements are considered.

The application discloses a correction method for saturated spectral line intensity in laser spectroscopy, and relates to the technical field of spectral data analysis, wherein saturated characteristics in a spectrum are identified, a saturated point is determined based on an intensity threshold, and the original intensity of the saturated point is recorded; the wavelength range of a target spectral peak containing the saturated point is determined; the saturated point is removed from the wavelength range of the target spectral peak, and the unsaturated point is reserved; the unsaturated point is fitted through a nonlinear function, and the maximum intensity of the fitting is obtained; if the maximum intensity of the fitting is lower than the original intensity, the intensity is corrected in a linear extension mode based on the unsaturated point, otherwise, the intensity is directly corrected based on the fitting model; the corrected spectral intensity data are output, and the maximum intensity of the spectral peak and the integral area of the spectral peak are calculated. The application improves the accuracy of saturated determination and the reliability of correction results, and provides direct intensity data basis and core derivative parameters for quantitative analysis.

This application discloses a method for offline analysis of powder ionization conditions, comprising the following steps: placing a silicon wafer on a target plate of a plasma device; generating a plasma beam under preset powder ionization conditions using the plasma device; injecting powder into the plasma device so that the plasma beam bombards the powder until powder injection is complete; detecting whether a first condition and a second condition are met, wherein the first condition includes at least 70% of the powder injected into the plasma device ablation and brightening upon bombardment by the plasma beam and / or forming a coating on the silicon wafer; the second condition includes the coating containing chemical bonds formed by elements of the powder and / or detecting spectral lines generated by ionization of the powder upon bombardment by the plasma beam. If the first and second conditions are met, the powder is determined to be effectively ionized. Otherwise, the powder is determined to be ineffectively ionized. The method of this application can obtain basic research data on the boronization of boron powder.

The invention discloses a method for determining and analyzing lead, cadmium, iron and zinc in lead smoke dust through X-ray fluorescence spectrometry, and belongs to the technical field of determination and analysis of components of comprehensively recycled lead smoke dust in zinc smelting production. The method comprises the following steps: preparing an analysis sample by adopting a direct tabletting method without acid digestion of a sample and directly preparing soot powder under the working pressure of 30-40T and the dwell time of 15 seconds. A multiple regression correction method is adopted to correct matrix interference, a Pb L beta 1 element spectral line is selected to eliminate overlapping interference of a Pb K alpha 1.2 spectral line and an As K alpha 1.2 spectral line, and then a correction formula is added. The sample does not need to be subjected to complex chemical treatment, the original state of the cigarette ash sample can be kept, and multiple analysis or other subsequent tests can be carried out on the same batch of samples. The method can be used for simultaneously analyzing multiple elements, namely simultaneously determining multiple elements in the soot from macroelements to microelements such as Pb, Zn, Cd, Fe and the like, so that the analysis efficiency is greatly improved.