2780 results about "Spectrometer" patented technology

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 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 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 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.

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 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 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.

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 provides a neutron dose evaluation method and system based on mobile phone neutron activation product analysis, and the method comprises the steps: constructing an equivalent medium model for replacing a real mobile phone, and carrying out the neutron energy spectrum solving through the mobile phone activation product. The neutron energy spectrum can be reconstructed on site in daily scenes without professional equipment, such as villages, streets and shopping malls, so that the uncertainty of individual dose is reduced to a level equivalent to that of a laboratory spectrometer, the dependence on a multi-ball spectrometer, a TOF spectrometer and professionals is thoroughly eliminated, rapid and accurate measurement of the neutron energy spectrum and large-scale population dose evaluation are realized, and the accuracy of the neutron energy spectrum is improved. And a basis is provided for delimiting the influence range of the nuclear event, judging the event level of the nuclear event and formulating a hierarchical medical rescue scheme.

A geological analysis system, device, and method using x-ray fluorescence and spectroscopy are provided. The geological analysis system includes a sample tray which holds the geological sample materials, and sensors including an X-ray fluorescence (XRF) unit and spectrometer. The sample tray includes chambers formed in an upper surface, ports, and passages, each providing communication between an interior of a chamber and an interior of a port. The ports are configured to be attachable to vials. The system positions the sample tray with respect to the sensors for sensing one or more properties of geological sample materials in the sample tray.

The invention relates to the technical field of instruments and meters, in particular to an inductively coupled plasma mass spectrometer system for intelligent data processing and report generation. Comprising a sample introduction unit, a plasma excitation and ionization unit, a mass analyzer and detection unit, a vacuum system unit and an intelligent data processing and report generation unit. Efficient ionization is achieved through a bipolar radio frequency switching and AI optimized reaction gas plasma source, the AI optimization module monitors in real time and dynamically adjusts parameters so that the ionization efficiency can be stabilized at 92% + / -2%, and meanwhile a reaction gas control system can optimize plasma conditions to suppress interference ions. And the mass analyzer and the detection unit realize high-precision ion separation by utilizing AI interference correction and a QMS-TOF double analyzer mode, and an interference elimination module can automatically eliminate polyatomic ion interference, so that the ionization efficiency, the analysis precision and the accuracy are improved, the interference is effectively inhibited, and the analysis capability of the system on a complex sample is enhanced.

The invention discloses a rice producing area identification method based on dynamic characteristic screening and a weighted integration model. Belongs to the technical field of agricultural product traceability. The prominent problems of large accuracy fluctuation, poor model mobility, low operation efficiency and the like of the existing mid-infrared spectrum identification method are solved. The method comprises the following steps: collecting a rice flour sample spectrum by using a mid-infrared spectrometer equipped with an ATR accessory, and carrying out spectrum standardization treatment; performing noise reduction and correction on the spectrum after standardization processing by using a wavelet denoising and improved SNV correction method to obtain a noise-reduced and corrected spectrum; performing dynamic feature screening on the noise reduction correction spectrum to obtain a low-redundancy and high-independence optimized feature subset; integrating a plurality of classification models into a multi-stage mixed classification model in a dynamic weight set manner by optimizing the feature subsets; and identifying the producing area of the rice flour sample by adopting a multi-stage mixed classification model.

The invention relates to the field of mass spectrometry, and describes a mass spectrometer based on multi-electrode coordination of a Jooden well. A multi-port ion source configured for multi-port input of electrons of ionization of gas molecules in a well and ions in an ion source outside the well, the ports being autonomously usable, comprising two external electrodes and four internal electrodes configured to excite periodic movement of ions in the well along an axis of symmetry and to detect signals caused by ions of secondary potential oscillation in the well, wherein ions are introduced into the trap from an external source with a slot, and ion movement is excited by applying an alternating voltage or the like to the electrodes. Or using a slot to introduce ions from an external source into a well in an external electrode, applying a potential to an internal electrode to create an electric field, the size of which is in a quadratic relationship with the coordinates, the electrodes having a specific equipotential surface geometry. Pulsed potentials can be applied to capture ions, multiple external ion sources can be equipped, and if the ion sources are not combined, each can be provided with a separate port. The mass spectrometer is uniquely designed in the aspects of ion input, excitation, detection, ion source configuration and the like.

The invention relates to an aspheric wavefront detection device and method based on multi-direction orthogonal lateral shear interference. The device is composed of a laser, a linear polarizer, a light splitting element, a reflector array, a two-dimensional orthogonal grating array, a light splitting system, a polarization phase shifting element and a CMOS camera. The method comprises the following steps: firstly, an antisymmetric continuation method is included, secondly, dynamic phase recovery and distortion compensation are adopted, Zernike polynomial local fitting is introduced, and self-adaptive compensation is carried out on high-order aberration (such as coma aberration and trefoil aberration) of an aspheric surface edge region. According to the method, the multi-direction orthogonal lateral shearing interferogram can be obtained through single measurement, and a high-precision, high-efficiency and high-robustness solution is provided for precise detection of the aspheric optical element through cooperation of an algorithm and hardware. The method is suitable for high-precision phase recovery in the fields of optical detection, microscopic imaging and the like, and is suitable for high-precision dynamic detection of complex optical elements such as off-axis aspheric surfaces, free-form surfaces and the like.

The invention discloses a helium detection device and method for the airtightness of a bonding interface and a bonding microcavity, and belongs to the field of the airtightness of MEMS devices. The device comprises a sample holder, a mass spectrometer, a molecular pump, a mechanical pump and other components, helium is used as detection gas, and the helium is leaked only through a bonding interface through a customized and processed test sample and sample holder structure, so that the interference of other leaks in a non-bonding area on a test result is avoided. The testing method comprises the steps of sample introduction, vacuum pumping, helium filling, signal detection, dynamic and steady state testing and the like, the helium leak rate is monitored in real time by combining with a helium mass spectrometer, and the minimum leak detection rate is that high-sensitivity air tightness detection is ensured. According to the method, the airtightness of the bonding interface can be independently evaluated, and a reliable basis is provided for development of a novel bonding process. The method is suitable for air tightness detection and evaluation of the bonding process in MEMS device processing and manufacturing.

The present invention relates to a method for quickly identifying white vaseline from different manufacturers based on silver salt-assisted laser desorption ionization-time of flight mass spectrometry, and belongs to the field of detection. Specifically comprising the following steps: S1, exploring and optimizing metal salt ion conditions, matrix conditions, and sampling methods, and using the optimized experimental conditions for sample preparation; S2, measuring the sample; S3, using eMSTAT Solution software for data analysis to achieve identification of white vaseline from different manufacturers. The method of the present invention replaces traditional organic matrices with silver salts, eliminates background interference, and improves the mass spectrometry signal-to-noise ratio; combines a direct smearing method to avoid complex solvent preparation and extraction, and is easy to operate; applies a mass spectrometer for mass spectrometry acquisition, has accurate molecular weight, reduces the detection time of each sample to 6 seconds, has high analytical throughput, and is low in cost, thereby achieving high-throughput, accurate, and rapid identification of large quantities of white vaseline from different sources.

The invention discloses a distinguishing table type X-ray spectrometer and an X-ray absorption spectrum testing method, and relates to the technical field of spectral measurement. The high-resolution table type X-ray spectrometer comprises a sample signal source which is located in a Dowland circle and is used for generating X-rays; the exponential crystal is a bent crystal, the surface shape of the exponential crystal is defined by an exponential equation, so that different points on the curved surface of the crystal have different curvature radiuses and correspond to Rowland circles with different radiuses, each point on the exponential crystal is tangent to the corresponding Rowland circle, and the exponential crystal is used for performing monochromatization and focusing on the X-ray incident from the sample signal source; and the detector is positioned on a surface formed by the corresponding imaging points on each Rowland circle, and is used for receiving the X-rays which are monochromatized and focused by the index crystal and outputting corresponding light intensity signals. Therefore, through the cooperation of the index crystal and the multi-Rowland circle structure, the X-ray absorption spectrum test with high light receiving efficiency, high spectral resolution and wide energy spectrum range can be realized, and the comprehensive performance of the desk type spectrometer is improved.

The invention relates to the technical field of optical detection, in particular to a notebook computer shell injection molding part surface quality detection method and system, and the method comprises the steps: irradiating a standard part with a preset wave band according to preset parameters through an infrared spectrometer to obtain a first spectrogram, and irradiating the injection molding part with the preset wave band according to the preset parameters to obtain a second spectrogram. Through the synergistic effect of a non-negative matrix factorization algorithm and a Transform fusion model, the problem of spectrum overlapping caused by addition of a flame retardant is effectively solved, through seven-degree polynomial and smooth second derivative processing, the carbonyl peak position measurement error is further reduced, and compared with a traditional Fourier transform infrared spectroscopy, the feature parameter extraction precision is further improved. The number of the carbonyl absorption peaks and the positions of the carbonyl absorption peaks are compared with the standard threshold values twice, so that the problem that some qualified products are mistakenly considered as non-qualified products easily due to deviation during judgment of the carbonyl content of the injection molding shell of the notebook computer is further solved.

Provided are a laser interferometer capable of reducing the frequency of a signal calculated and processed in a demodulation circuit and reducing the cost of the demodulation circuit, and a spectroscopic device provided with the laser interferometer. A laser interferometer is provided with: an optical modulator that adds a modulation signal to laser light using a resonator element; a light receiving element that detects a change in the intensity of the laser light including the sampled signal and the modulated signal, and outputs a laser reception signal; a signal oscillation unit that generates a reference signal of a first frequency with the vibration element as a source vibration; and a demodulation circuit that demodulates the sampled signal from the laser reception signal on the basis of the reference signal, the demodulation circuit comprising: a DC offset removal unit that removes the offset; a first phase regulator that regulates the phase of the reference signal; a first multiplier that multiplies the laser reception signal by a reference signal; a first filter; a second multiplier multiplying the first multiplication signal by a reference signal; a second filter; and a phase calculator that calculates a phase.

The invention provides a mass spectrometer operation state monitoring method, system and device and a medium, and relates to the technical field of fault monitoring, and the method comprises the steps: collecting environment parameters in a mass spectrometer operation environment, carrying out the vacuum degree influence analysis of a mass spectrometer according to the environment parameters, and obtaining vacuum degree influence parameters; analyzing the mass axis offset influence of the mass spectrometer according to the environmental parameters to obtain mass axis offset parameters; testing to obtain an actual vacuum degree influence parameter and an actual mass error parameter of the mass spectrometer, performing state influence verification by combining the vacuum degree influence parameter and the mass axis offset parameter, and processing to obtain a vacuum verification coefficient and a mass verification coefficient; and according to the vacuum verification coefficient and the quality verification coefficient, performing fusion state anomaly analysis on the vacuum degree influence parameter and the quality axis offset parameter to obtain a state anomaly coefficient, and performing fault judgment and early warning. The technical problem that fault early warning is not timely in the monitoring process of the operation state of the mass spectrometer in the prior art is solved.

The invention discloses a guided-mode resonance refractive index detection device and method based on a longitudinal gradient grating structure, and belongs to the technical field of optical sensing and imaging spectrum detection, the guided-mode resonance refractive index detection device comprises a light source, an optical isolator, a polarization controller, a collimation beam expander, a guided-mode resonance sensing chip, an image detector and a signal processing unit which are connected in sequence; the guided-mode resonance sensing chip is of a transmission type structure, the top of the guided-mode resonance sensing chip is provided with a strip-shaped nano structure which is consistent in period but longitudinally gradually changed, and an image detector is arranged below the guided-mode resonance sensing chip and used for receiving a transmission light signal penetrating through the guided-mode resonance sensing chip, generating a transmission light image and transmitting the transmission light image to the signal processing unit; and the signal processing unit is used for analyzing the transmitted light image and inverting the refractive index of the medium to be measured according to the structure mapping model. According to the invention, the longitudinal structure gradual change characteristic is introduced into the guided-mode resonance chip, so that the spatial distribution control of the monochromatic light resonance response position is realized, and finally the imaging refractive index sensing without an optical splitter is realized.

The invention discloses an atomization mechanism for a plasma mass spectrometer, and relates to the technical field of atomizers, the atomization mechanism comprises an atomization cup, an atomization head and a sample introduction hopper which are respectively arranged at two openings of the atomization cup, a transmission mechanism arranged in the atomization cup, and an atomization nozzle communicated with the interior of the atomization cup, the sample feeding hopper is rotationally connected with the inner wall of the atomizing cup, and the transmission mechanism is in transmission connection with the sample feeding hopper; to-be-atomized liquid flows into the sample feeding hopper through the atomizing head; atomized airflow flows into the atomizing cup through the sample injection hopper and can be blown to liquid in the sample injection hopper; the transmission mechanism can drive the sample feeding hopper to rotate under the action of atomized airflow; and the liquid is atomized in the atomizing cup and then is discharged through the atomizing nozzle. In the atomization process, the transmission mechanism can drive the sample feeding hopper to rotate under the action of atomization airflow, powder and particles in liquid raw materials can be well decomposed through rotation of the sample feeding hopper, the stability of the concentration of liquid fed into a plasma light source is guaranteed, and meanwhile the atomizer can be prevented from being blocked.