4111 results about "Spectrometer" patented technology

The invention relates to the technical field of mass spectrum analysis, in particular to an analysis method and system for improving the spectrum quality of a mass spectrum. The method comprises the following steps: scanning a sample by using a mass spectrometer, collecting original mass spectrogram data, and preprocessing the original mass spectrogram data; based on the preprocessed original mass spectrum data, identifying potential peak positions through a multi-scale Gaussian fitting technology, and screening out candidate peaks by calculating the signal-to-noise ratio of each peak; fitting each screened candidate peak by using an asymmetric Gaussian function model, and describing the shape of the candidate peak; and constructing a mass offset correction model to correct the mass spectrum data, and performing super-resolution processing on the corrected mass spectrum data by using a convolutional neural network model. According to the design, peak fitting is carried out by adopting a multi-scale Gaussian fitting technology, a signal-to-noise ratio screening mechanism and an asymmetric Gaussian function model.

The invention relates to the technical field of data processing, and further relates to a forest ecology monitoring system and method with an unmanned aerial vehicle carrying a multispectral sensor. The system comprises an unmanned aerial vehicle, a hyperspectral data processing device and an ecological health detection platform, the unmanned aerial vehicle carries a multispectral sensor so as to acquire multispectral data of a forest area and perform atmospheric correction on the surface reflectance; the hyperspectral data processing device is used for reconstructing hyperspectral data from the multispectral data by using a compressed sensing theory and carrying out noise reduction by using wavelet transform to obtain the hyperspectral data after noise reduction; and the ecological health detection platform is used for calculating forest health indexes and forest carbon reserves according to the hyperspectral data after noise reduction, and presenting the forest health indexes and the forest carbon reserves to users. According to the method, comprehensive and accurate evaluation of the health condition and the carbon reserve of the forest ecosystem is realized, and the defects in the aspects of data precision, processing efficiency and evaluation comprehensiveness in the prior art are overcome.

The invention relates to the crossing field of precision agriculture and artificial intelligence technology, in particular to a soil component detection system based on machine learning and infrared spectroscopy, which is characterized in that a soil spectrum is acquired on site through a portable Fourier infrared spectrometer, and after pretreatment, feature vectors are constructed by fusing climate, soil and crop data; the deep learning decision-making module extracts spectral features by using one-dimensional convolution, fuses multi-dimensional information through an attention mechanism, synchronously outputs a fertilization scheme, crop suitability scores and soil improvement measures by a multi-task learning sub-network, and finally, verifies by combining an agronomic knowledge base so as to obtain a fertilization result. According to the method, a comprehensive decision report containing a quantitative fertilization formula, a crop suitability sequence and a soil improvement scheme is generated, precise agricultural guidance is realized, spectral features are automatically extracted by adopting a one-dimensional convolutional neural network, and a multi-modal data fusion and multi-task learning framework is combined, so that the system achieves relatively high precision in the aspect of soil nutrient prediction.

The invention discloses a multi-modal remote sensing image classification method based on double hybrid experts, and the method comprises the steps: firstly carrying out the diversified dense mixing of spectral bands through a multi-head hybrid band spectrum hybrid expert; then, designing a multi-modal fusion hybrid expert to realize diversified feature fusion of the hyperspectral image and the laser radar data; in addition, selection of experts is balanced and fused by introducing information entropy; and finally, the candidate pseudo labels are trimmed through a proposed semi-supervised learning algorithm based on candidate pseudo label trimming, so that the unlabeled samples can obtain more reliable pseudo labels.

The invention discloses a micro proportional valve gradient composite coating and a preparation method thereof, and belongs to the technical field of micro proportional valve surface strengthening manufacturing. Aiming at the corrosion-resistant and wear-resistant requirements of the micro proportional valve under the working conditions of strong corrosion, multiple impurities and high pressure difference, the interface strengthening and corrosion-resistant and wear-resistant performance optimization of a metal matrix and a functional coating are combined, and metal / ceramic / polymer gradient material design, spraying parameter suitability research and a coating porosity / bonding strength control method are covered; the valve core and valve seat protection device is suitable for high-efficiency protection technical systems of valve cores and valve seats of precise instruments such as gas chromatographs and mass spectrometers.

The invention provides a metasurface structure and method for realizing transverse polarization focusing light splitting, and the metasurface structure comprises a substrate and a surface structure which is disposed on the substrate. The surface structure is composed of a plurality of sub-wavelength structure units which are arranged in a concentric circular ring mode. The sub-wavelength structure unit performs polarization-independent focusing of an incident beam through transmission phase regulation and control, and performs polarization-dependent light splitting of the incident beam through geometric phase regulation and control. The point diffraction plate can realize light beam splitting and focusing functions related to polarization, has the advantages of being simple in structure and high in integration level, solves the technical problems that an existing point diffraction plate does not support synchronous phase-shifting interference measurement and the contrast ratio of interference fringes is low, and enables the contrast ratio of the interference fringes of point diffraction interference measurement to be higher, the resolving precision to be higher and the resolving speed to be higher.

The present invention discloses an in-situ detection device and method for the surface shape of an optical-mechanical component, which belongs to the field of optical precision detection technology, and aims to solve the problem in the prior art that there is a lack of in-situ monitoring and detection of surface shape distortion during the adjustment process of an optical-mechanical component. The laser light generated by the laser in the device is incident on the optical-mechanical component to be measured after passing through a beam isolator, a beam splitter prism, and a collimator A in sequence, and is reflected. The reflected light of the optical-mechanical component to be measured is incident on the beam splitter prism after passing through the collimator A and is reflected. The reflected light of the beam splitter prism is incident on a CCD camera after passing through a perforated light screen, a collimator B, and a phase plate. The CCD camera is connected to a computer system, and the light spot diagram recorded by the CCD camera will be input into the computer system for in-situ detection of the surface shape. The method modulates the reflected light of the sample to be measured by a phase plate, and uses a phase reconstruction algorithm based on light field diffraction iteration to realize sample surface shape reconstruction. It has the advantages of high measurement accuracy, no need for a reference plane, and strong vibration resistance.

The invention discloses a dissociation rate testing device of a remote plasma source in the field of remote plasma sources. The dissociation rate testing device is characterized in that the remote plasma source is used for dissociating process gas, and a gas outlet is communicated with an etching testing table through a water cooling pipeline; the gas ionization detection device comprises a maintenance gas input control module, an output detection unit and an output calculation unit, the maintenance gas input control module is used for controlling the amount of input maintenance gas, the output detection unit is used for detecting the amount of residual maintenance gas, and the output calculation unit is used for calculating the dissociation rate; the Fourier infrared spectrometer is used for collecting infrared spectrum data of the residual maintenance gas; the RPS control test bench is used for detecting and controlling the air inlet flow, the pressure in the cavity and the cooling water flow of the remote plasma source; the tail gas treatment equipment is used for treating the residual maintenance gas. According to the testing device, full-process monitoring and closed-loop control of the plasma source operation state are realized, and the dissociation rate detection precision and the process stability are improved.

The invention discloses a standard volume-based mass spectrum signal calibration system and method, and belongs to the field of measurement, the standard volume-based mass spectrum signal calibration system comprises a standard flow generation system and a mass spectrum detection system.The standard flow generation system comprises a standard tank, a first valve, a fifth valve and a micro-leakage valve which are sequentially connected through a gas pipeline; a gas inlet pipeline, a film gauge and a first molecular pump set are connected to a gas pipeline connecting the first valve and the fifth valve in parallel, a second valve is installed on the gas inlet pipeline, and a fourth valve is installed at an inlet of the first molecular pump set. The mass spectrometry detection system comprises a vacuum chamber communicated with the micro-leakage valve through a gas pipeline, a mass spectrometer, a second molecular pump set and a full-scale gauge are connected to the vacuum chamber, and a gate valve is installed at an inlet of the second molecular pump set. The gas release rate can be calculated and continuously adjusted on the premise that a leak hole is not needed, and the problems that in the prior art, a standard leak hole is limited in application range, low-flux measurement is inaccurate, the nominal leak rate is prone to drifting, and cost is high are solved.

The invention relates to the technical field of meteorology and hydrology, and discloses a short and temporary rainfall forecasting method and system based on a raindrop spectrometer and a meteorological radar, and the method comprises the steps: carrying out the preprocessing of radar echo image data and raindrop spectrometer data; quantitatively estimating a radar reflectivity factor according to the raindrop spectrometer data; extrapolating radar echo image data based on an optical flow method and a UNet network model, and extrapolating a radar reflectivity factor based on an LSTM network model; performing dynamic regression on the extrapolated radar echo image data to obtain the radar echo image data of the required prediction period; carrying out global correction on the radar echo image data of the required predicted period according to the radar reflectivity factor of the required predicted period obtained by extrapolation; and forecasting rainfall according to the radar echo image data after global correction. According to the method, radar echo image data can be closer to near-surface rainfall information, and the accuracy of rainfall forecast and the adaptability to complex and changeable meteorological data are improved.

The invention provides a multispectral image spectral super-resolution method based on adaptive learning and application, and belongs to the technical field of remote sensing image processing. The method solves the problems that in an existing spectrum super-resolution method, manual setting of prior information and complex parameter selection are carried out, in a deep learning method, pixel dependence between space long distances and self-similarity between spectrums are ignored, and deep network parameters cannot be dynamically adjusted in real time. Constructing a pseudo label based on the multispectral data set; constructing a spectrum super-resolution network, and performing supervised training on the spectrum super-resolution network based on a pseudo tag to generate a preliminary reconstructed image; inputting the preliminary reconstructed image into an adaptive learning module, learning the residual error of the preliminary reconstructed image and the real image, and performing residual error correction; constructing an adaptive learning network, and updating parameters of an adaptive learning module; and carrying out residual connection on the adaptive learning network after parameter updating and a to-be-processed image, and outputting a target high-spatial-resolution hyperspectral image.

The invention discloses a method for determining the purity of electronic-grade hexafluoroethane, and relates to the technical field of the purity of hexafluoroethane, and the method comprises the following steps: vacuumizing a specific sampling container to 10 <-3 > Pa to 10 <-2 > Pa, forming a super-hydrophobic coating on the inner wall, sampling in a temperature-controlled, humidity-controlled and pressure-controlled environment, and removing water and impurities through two-stage pretreatment; enhancing analysis by using a gas chromatograph, a specific carrier gas, a column temperature program, a micro-fluidic chip and an ion mobility spectrometry; then secondary scanning analysis is carried out by using a mass spectrometer double ion source and a calibration system; and finally, learning and matching an algorithm through a data processing system machine. Samples can be accurately collected and pretreated, gas chromatography and mass spectrometry analysis is more accurate and efficient, a data processing system can accurately determine impurities and purity, multiple measurement data can be counted and analyzed, the result reliability is improved, all parts of the system are optimized and matched, the accuracy and stability of the whole process are guaranteed, and the purity is calculated; the method further comprises statistical analysis of multiple measurement data.

The invention is suitable for the technical field of filters, and particularly relates to a manufacturing method of a linear gradient filter and the linear gradient filter. The manufacturing method of the linear gradient filter comprises the following steps that a glass wafer serves as a substrate, and a lower reflecting layer is plated on the surface of the glass wafer; wherein the lower reflecting layer is formed by alternately stacking a plurality of layers of low-refractive-index materials and a plurality of layers of high-refractive-index materials; coating a resonant cavity layer on one side, far away from the glass wafer, of the lower reflecting layer through a stepped coating process; plating a reflecting layer on one side, far away from the glass wafer, of the resonant cavity layer; and plating a long-wave-pass layer on one side, far away from the glass wafer, of the upper reflecting layer and in an area larger than the central wavelength to obtain the linear gradient filter. Compared with the prior art, the linear gradient filter provided by the invention is better in spectral resolution in a long wave band, smaller in energy difference of channels, excellent in wavelength selection performance and capable of being applied to spectrum applications such as a miniaturized infrared spectrometer and the like.

The invention relates to an optical fiber coupling dynamic interferometer based on arrayed waveguide grating light splitting. A luminous source and an arrayed waveguide grating of the optical fiber coupling dynamic interferometer are arranged on a motion module. The light emitting source is connected to the input port of the array waveguide grating through an optical fiber, and through the movement module, any one of the multiple output ports of the array waveguide grating is in butt joint with the optical fiber connected to the incident end of the collimation structure. A half-wave plate and a beam splitter prism of the imaging element group are sequentially arranged on an emergent light path of the emergent end of the collimation structure, and the beam splitter prism is used for splitting a light beam passing through the half-wave plate into a reference light beam transmitted along a first light path and a measurement light beam transmitted along a second light path. And the reflecting mirror of the imaging element group reflects the reference light beam back to the beam splitting prism. And the to-be-measured surface reflects the measurement light beam back to the beam splitter prism. The reference beam and the measurement beam reflected back to the beam splitter prism interfere with each other and are imaged on the target surface of the camera. Accurate measurement of the wavefront image of the surface to be measured is realized.

The invention relates to the technical field of tourism services, in particular to a grease detection device and method for edible oil production and processing, and a system comprises a spectral data acquisition module, a component ratio calculation module, a spectral feature analysis module, a chemical component deviation evaluation module and a smell component fluctuation detection module. According to the method, accurate identification of edible oil component characteristics is improved by using the laser Raman spectrometer, fine analysis of complex components is realized by combining gas and liquid chromatograms and mass spectrometers, release of volatile substances is monitored by the electronic nose sensor, and environmental adaptability and dynamic response capability of data are enhanced. Through automatic abnormal data elimination and normalization processing, the data consistency and standardization level are improved, the accuracy of sample classification and edible oil safety assessment is further improved through multi-parameter ratio calculation and peak position offset analysis, the data processing flow is optimized, automation and intelligence of the detection system are enhanced, and the detection efficiency is improved. And the efficiency and the precision of edible oil detection are obviously improved.

This invention relates to a laboratory spectrometer, comprising: a base; a motion assembly disposed on the base; a radiation source assembly including an X-ray source and a mounting frame, the mounting frame being fixed to the base and the X-ray source being fixed to the mounting frame; a curved crystal assembly including a spherical curved crystal and a positioning frame, the spherical curved crystal being fixed to the positioning frame and the positioning frame being fixed to the motion assembly; and a detection assembly including a detector and a support frame, the detector being fixed to the support frame and the support frame being fixed to the motion assembly, the support frame also being used to fix a sample; the motion assembly is configured to move the spherical curved crystal, the sample, and the detector so that the X-ray source, the spherical curved crystal, and the sample are always aligned on a Rowland circle. In this laboratory spectrometer, the X-ray source is fixed, and only the spherical curved crystal, the sample, and the detector need to be moved during energy scanning, resulting in a stable optical path.

The invention relates to the field of gas concentration detection, and particularly discloses a real-time feedback and adaptive learning method for natural gas infrared spectrum measurement, which comprises the following steps: S1, acquiring infrared spectrum information of a natural gas body by using an infrared spectrometer, and constructing a historical sample set; s2, preprocessing the spectral data of the historical sample set; s3, selecting an optimal algorithm and a hyper-parameter by adopting XGBoost and Bayesian optimization; s4, constructing a qualitative model to identify gas types and match data; s5, calculating the similarity between a field sample and a historical sample through a Siamese network, and setting a threshold value to screen local data; s6, improving the KNN to construct a local dynamic quantitative model to predict the concentration; s7, processing low-similarity abnormal data by the global dynamic model, and improving the reliability by combining moving average and abnormal calibration; and S8, introducing reinforcement learning and online gradient descent to adjust parameters in real time to optimize the precision. According to the technical scheme, high-accuracy natural gas detection can be carried out in a complex environment.

The invention discloses a far-field light field simulation test system for a laser communication terminal. The far-field light field simulation test system comprises a primary mirror assembly, a secondary mirror assembly, a turning mirror assembly, a rod assembly, a focal plane assembly and a frame, the focal plane assembly is composed of a reflector, a spectroscope, a transmitting optical fiber, a receiving optical fiber, a light beam quality analyzer and a coated dichroic mirror. The far-field simulation test system is an off-axis reflection type optical system developed based on the geometrical optics theory. The test system is a core component applied to ground demonstration and verification of space laser communication, serves as a collimator for optical system installation and calibration of a terminal on one hand, provides a complete machine test platform for the space laser communication terminal on the other hand, can serve as a transmitting end to provide a parallel light source and can also serve as a receiving end, and the space laser communication terminal is convenient to use. The detected laser communication terminal is detected, and optical parameters of light beam quality and transmission efficiency of the detected laser communication terminal are effectively evaluated.

The invention discloses an industrial gas production monitoring system based on data processing, and relates to the technical field of online monitoring, and the industrial gas production monitoring system comprises a data acquisition module which uses a plurality of sensors with determined positions to acquire real-time parameters in the industrial gas production process; the raw material gas detection module is used for acquiring raw material gas data through various sensors arranged at a raw material gas inlet and a raw material gas outlet and carrying out raw material quality detection on the raw material gas; the parameter monitoring module is used for detecting process parameters of gas production through a temperature sensor, a flow sensor and a pressure sensor; the safety detection module is used for carrying out leakage detection on the industrial gas production device and carrying out factory environment detection by using a multi-gas composite detector; the quality detection module is used for detecting the quality of the produced industrial gas by using a high-sensitivity sensor and a mass spectrometer; and the early warning module is used for carrying out fault detection on the industrial gas production based on all the obtained data and sending out safety early warning according to a fault detection result.

The invention discloses a visibility inversion method based on millimeter wave cloud radar and laser radar data fusion, and relates to the technical field of meteorology, and the method comprises the steps: guiding a millimeter wave cloud radar and a laser radar to carry out data correction and equivalent relation construction through employing a fog drop particle size distribution function measured by a fog drop spectrometer in a sample scene in advance; and then applying the correction coefficient and the equivalent function relationship to a target scene to perform multi-source data correction and fusion on the millimeter wave cloud radar and the laser radar and invert visibility. The method can fuse complementary advantages of the laser radar and the millimeter wave cloud radar; the introduction of the fogdrop particle size distribution function effectively avoids the distribution hypothesis of fogdrop shapes in the traditional model, can weaken the seasonal drift of the traditional empirical coefficient, significantly improves the accuracy and reliability of visibility inversion, and achieves the high-precision visibility monitoring under various weather conditions from clear sky to dense fog.

The invention relates to the technical field of component analysis, in particular to an intermediate infrared spectrometer sensor verification system which comprises the following steps: acquiring spatial distribution information of a target sample through an automatic sampling module, and generating a corresponding first feature group based on the spatial distribution information; adjusting an emission wave band and a modulation strategy corresponding to a mid-infrared light source, converting mid-infrared photons into visible light signals, and generating a corresponding second feature group; performing down-sampling processing on the original spectral data to generate a corresponding third feature group; inputting the sparse spectral coefficient into a pre-trained deep learning reconstruction model, and dynamically correcting the reconstruction process in combination with an environment temperature compensation parameter to generate reconstructed spectral data corresponding to high resolution; and analyzing the reconstructed spectrum data, matching a preset substance spectrum database, extracting a characteristic absorption peak position and an intensity ratio of the target substance, and generating a corresponding final analysis result. According to the invention, the intelligence of the sensor verification system can be improved.

The invention relates to a mass spectrometer ion detector micro-current multistage amplification circuit, which comprises a primary amplification circuit, a voltage following circuit, a secondary amplification circuit, a gain adjustment control circuit and an analog-to-digital conversion circuit, the gain adjustment control circuit can dynamically adjust the gain gears of the first-stage amplification circuit and the second-stage amplification circuit, 16 groups of different amplification gains can be achieved in total, and the application requirement for simultaneous detection of nine orders of magnitude of substances with different concentrations is met. The circuit is simple and reliable, is flexible and convenient to use, greatly widens the detection range of the mass spectrometer, and improves the automatic control level and detection efficiency of the mass spectrometer.

The invention discloses a mass spectrometer electrometer based on a capacitance integrator, and belongs to the technical field of electrometers. Comprising a capacitance integrator, the capacitance integrator is connected with a voltage holding circuit, the voltage holding circuit is connected with an acquisition control circuit and an amplification circuit, and the amplification circuit is connected with the acquisition control circuit; and the acquisition control circuit controls electric signals input into the capacitance integrator, the voltage holding circuit and the amplifying circuit through an I / V conversion control method, so that I / V conversion is completed. The capacitance integration is used for completing I / V conversion, the problem of high-resistance forbidding can be solved, meanwhile, compared with high-resistance conversion, the capacitance integration is adopted, the temperature stability of the electrometer is improved, and noise is reduced.

The invention belongs to the technical field of detection, relates to a free radical detection method, particularly provides a water free radical cation detection method, and aims to realize water free radical cation detection which is efficient, rapid, free of sample pretreatment and convenient to analyze. According to the invention, an LTQ-XL linear ion trap mass spectrometer is used as a detection tool, and a dielectric barrier corona discharge method is adopted to provide a water free radical cation detection method. The method comprises the following steps of: filling argon (Ar) between two discharge electrodes as a working gas, applying a certain voltage to two electrodes of a dielectric barrier discharge ionization source (DBDI), detecting water free radical cations to obtain a corresponding mass spectrum to represent the water free radical cations, and optimizing a target signal to obtain corresponding mass spectrum data. The method can be used for efficiently and quickly detecting the water free radical cations without sample pretreatment and the like, is convenient to analyze and apply, and has remarkable innovativeness and wide application prospects.

The invention relates to the technical field of vacuum measurement, in particular to a device for expanding the linear range of mass spectrometry measurement, which comprises a gas transmission pipeline, an electromagnetic valve, a small hole and a mass spectrometer, and is characterized in that the front end of the gas transmission pipeline is used for allowing a sample to be measured to enter, and the rear end of the gas transmission pipeline is connected with the mass spectrometer; the middle part of the gas transmission pipeline is divided into three channels, namely a first gas transmission pipeline, a second gas transmission pipeline and a third gas transmission pipeline; the first electromagnetic valve and the first small hole are sequentially arranged on the first gas transmission pipeline, the second electromagnetic valve and the second small hole are sequentially arranged on the second gas transmission pipeline, and the third electromagnetic valve and the third small hole are sequentially arranged on the third gas transmission pipeline. According to the method, manual dilution or segmented sample injection is not needed, a wide concentration range can be covered by single analysis, more than 60% of time cost is saved, and measurement in a dynamic range of 106 is realized.

The invention discloses a positive pressure antifouling gamma-ray spectrum automatic monitoring square cabin, and relates to the technical field of nuclear emergency monitoring and square cabins, the positive pressure antifouling gamma-ray spectrum automatic monitoring square cabin comprises a cabin body, a transition cabin is arranged in the cabin body, the transition cabin divides the interior of the cabin body into a sealed measurement cabin and a sample preparation cabin, and one side of the transition cabin is provided with an air-tight door capable of communicating the sealed measurement cabin with the sample preparation cabin; a sample conveying cabin used for allowing a sample to go in and out of the sealed measuring cabin and the sample preparation cabin is arranged on the side, away from the airtight door, of the inner wall of the transition cabin, the cabin body is overall designed into three areas, and the to-be-detected sample treatment area and the electric refrigeration high-purity germanium gamma-ray energy spectrometer are effectively isolated; filtered clean air is continuously introduced into the measurement cabin, the pressure in the sealed measurement cabin is maintained to be greater than the external pressure, the requirements of air cleanliness and positive pressure are ensured, and the background of the surrounding environment of the electric refrigeration high-purity germanium gamma-ray energy spectrometer is prevented from being changed after external radioactive pollution air enters the sealed measurement cabin, so that the measurement is prevented from being influenced.

A charge detection mass spectrometer includes an ion trap configured to store ions therein and to release stored ions therefrom, and an electrostatic linear ion trap (ELIT) array, in the form of at least two ELITs or ELIT regions each spaced apart from the ion trap, each ELIT or ELIT region including first and second ion mirrors and a charge detection cylinder positioned therebetween. The ion trap is controlled to release at least some of the stored ions to travel toward and into each of the ELITs or ELIT regions, and the first and second ion mirrors of each of the ELITs or ELIT regions is controlled in a manner which traps one or more ions traveling therein and causes the trapped ion(s) to oscillate back and forth between the first and second ion mirrors each time passing through and inducing a corresponding charge on the charge detection cylinder.

The invention provides a mineralogical substance composition testing method and system based on multispectral data fusion. The method comprises the following steps: separating out a first characteristic interference signal caused by the oxidation state of an iron element and a second characteristic interference signal caused by the oxidation state of a manganese element by adopting wavelet transform in a superposition region of a Raman spectrum signal and a visible light absorption spectrum; performing spatial weighting on the intensity of the first feature interference signal and the intensity of the second feature interference signal to construct a multi-dimensional feature vector, inputting the multi-dimensional feature vector to a pre-trained residual neural network, and combining a radioactivity attenuation parameter measured by a gamma spectrometer to determine the radioactivity attenuation of the first feature interference signal and the second feature interference signal. And generating a mineralogical substance composition test result containing a mineral phase, an isomorphic substitution ratio, color cause analysis data and a radiation safety level. According to the method, the collaborative interpretation of the multispectral data and the radiation parameters can be realized, the mineral component analysis precision is improved, the color formation mechanism is synchronously analyzed, and the radioactive risk level is quantitatively evaluated.

The invention provides a ventilation system optimization method and system based on the air quality of an industrial aquaculture workshop, and relates to the technical field of environment regulation and ventilation system.The method includes the steps that aquaculture workshop gas is analyzed through an infrared spectrometer, the spectral intensity of the characteristic absorption wavelength of a target pollutant is obtained, and then the accurate concentration of the pollutant is analyzed according to the spectral intensity; and calculating a ventilation parameter reference value and controlling a fan to adjust the air supply amount. An air treatment device in the ventilation system can determine the optimal working time according to the air supply amount so as to decompose pollutants and continuously monitor the concentration of the pollutants at the inlet and the outlet of the device. Subsequently, the air quality deterioration index is predicted by analyzing the concentration change trend, and the current overall purification efficiency is calculated. When the purification efficiency deviates from the range or the deterioration index exceeds the threshold value, the running state of the device is dynamically adjusted and fed back to the system, self-adaptive optimization of the ventilation system of the industrial aquaculture workshop can be achieved, and it is guaranteed that the workshop air quality is stable and the purification efficiency reaches the standard.

The invention discloses a double-pulse system and method for improving depth resolution of laser ionization mass spectrometry, and relates to the technical field of mass spectrometers, the system comprises a control system for controlling femtosecond laser parameters generated by a femtosecond laser and nanosecond laser parameters of a nanosecond laser; the laser energy regulation and control module is used for carrying out phase adjustment and detection on the input femtosecond laser and outputting the femtosecond laser meeting set parameters based on the femtosecond laser parameters; the light beam shaping and light beam morphology analysis module is used for shaping femtosecond laser and focusing the femtosecond laser on the surface of the sample for laser denudation; the nanosecond laser performs off-resonance multi-photon ionization on the denudated neutral particles to generate ionized ions for mass spectrometry. According to the invention, the depth resolution of the laser ionization mass spectrum can be improved to nanoscale, the ionization efficiency of ions is improved under the condition of reducing the sampling amount, and meanwhile, the sensitivity of an instrument and the accuracy of quantitative analysis are improved.