199 results about "Fluorescence spectra" patented technology

The invention discloses a water sample pollution traceability analysis method fusing absorption-three-dimensional fluorescence spectrum characteristics, and relates to the field of water sample spectrum analysis traceability. According to the method, high-precision prediction of pollutant indexes is realized by utilizing multi-dimensional information of a three-dimensional fluorescence spectrum and an absorption spectrum of a water sample, qualitative and quantitative traceability of main pollution components and potential emission sources in a water body is carried out based on correlation analysis of the prediction indexes, a pollutant feature library and an emission source database, and the method has the advantages of high accuracy and high accuracy. The integration of water quality monitoring and pollution source management is realized, and a systematic and real-time technical means is provided for pollution analysis of a complex water body.

The application discloses a multi-marked endoscopic imaging lens for digestive tract, and belongs to the field of biomedical microscopic endoscopic imaging. The endoscopic imaging lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens; the first lens focuses laser; the second lens is matched with the first lens to limit a light beam in an effective light aperture of the lens; the third lens corrects chromatic aberration; the fourth lens and the fifth lens are combined to correct aberration; the sixth lens adopts an aspheric lens to correct spherical aberration caused in a collimating and focusing system; and the seventh lens is matched with the sixth lens to correct chromatic aberration. The working spectral range of the microscopic objective lens group is 488-860 nm, the effective light aperture is less than 1.8 mm, the mechanical outer diameter is not greater than 2.6 mm, the numerical aperture at the object side or the tissue is 0.55, the imaging field of view is 450 microns, the magnification is 2.14 times, and the working distance is 84 microns. The effect of matching excitation and fluorescence spectrum of a clinically available fluorescence contrast agent is realized.

The invention relates to the technical field of color detection, in particular to a color difference calculation optimization method and system for archaized linen viscose reactive dyeing. Comprising the following steps: monitoring a fabric motion state in real time, calculating a motion speed and displacement, and determining a spectrum acquisition opportunity and a position compensation parameter; illuminating the surface of the to-be-detected fabric at an acquisition position through a polarized light source, and performing polarized spectrum data acquisition in the normal direction of the surface of the fabric to obtain reflection spectrum information; exciting the surface of the to-be-detected fabric by adopting an ultraviolet light source, collecting fluorescence spectrum data, and identifying different fiber areas; calculating fiber density distribution in the fiber area, and constructing a layered weight system; calculating chromatic aberration of the fiber area based on the reflection spectrum information, extracting chromatic aberration characteristics, and measuring and calculating an antique degree quantification result; setting a color difference threshold value standard according to an antique degree quantification result, and adjusting a color difference threshold value according to an evolution trend; and based on the layered weight system and the chromatic aberration threshold, performing weighted calculation on the chromatic aberration value of the fiber region to obtain a comprehensive chromatic aberration evaluation result.

The invention belongs to the technical field of battery health state monitoring, and relates to an unmanned aerial vehicle battery health state on-line prediction method comprising the following steps: exciting a quantum dot tracer agent in a battery monitoring area to obtain an initial fluorescence spectrum, and carrying out real-time comparison to identify fluorescence quenching caused by gas production and generate a preliminary aging signal; further analyzing the spectrum drift characteristics so as to analyze lithium aging and pure gas production; triggering ultrasonic detection based on a diagnosis result, and extracting time-frequency characteristics of acoustic echoes to construct quantitative acoustic fingerprints; and finally, through cross validation of optical and acoustic information, generating a comprehensive health status report containing a risk level and an aging type. According to the method, multi-dimensional on-line diagnosis and early warning on the early aging stage of the battery are realized, and the problems of hysteresis quality, difficulty in positioning and inaccurate risk assessment caused by dependence on macroscopic electrical parameters in a traditional method are solved.

The invention provides an automatic sorting and rechecking method and system for a whole pack of instant lottery tickets based on super-resolution vision, and relates to the technical field of machine vision. Details of motion blur loss are recovered through dynamic inter-frame alignment and multi-scale feature fusion, and a high-resolution image is generated. Static visual features are extracted, lottery ticket scrape-open layer film fluorescence spectrum response features of the first page of the lottery ticket bag are obtained, film material distribution characteristics are obtained through spectrum decomposition and fused into multi-modal features, the multi-modal features are matched with a standard library, and a preliminary sorting result is obtained. In the sorting process, the grabbing time sequence consistency of the mechanical arm is monitored, re-checking is started and abnormal time period characteristics are backtracked if the result reaches the threshold critical value or the time sequence is abnormal, and a re-checking report is formed if a plurality of judgment results are not consistent, so that the accuracy and reliability of automatic sorting of the whole lottery ticket can be guaranteed.

The invention discloses a full-automatic high-flux space-time resolution fluorescence spectrum imaging system and method, and relates to the field of fluorescence signal spectrum. Comprising a working table, a sample table, an objective lens, a mechanical arm sample injection module used for grabbing the sample table loaded with a sample in advance and placing the sample table on the working table, and a picosecond pulse laser output module used for outputting a laser beam to the objective lens, the fluorescence signal detection module and the control module are used for simultaneously collecting spectral data and dynamic data of a fluorescence signal generated after the sample is focused by the laser beam; the sample table and the objective lens are sequentially arranged on the workbench at intervals in the vertical direction from top to bottom; the mechanical arm sampling module, the picosecond pulse laser output module and the fluorescence signal detection module are respectively in communication connection with the control module. According to the invention, simultaneous acquisition of spectrum data and dynamic data of fluorescence signals can be fully automatically realized.

The invention relates to the field of high-pressure pressure distribution calibration and imaging, in particular to a high-pressure diamond anvil cell internal pressure calibration / imaging system and method based on wide-field optical detection magnetic resonance. The invention discloses a high-pressure diamond anvil cell internal pressure calibration / imaging system based on wide-field optical detection magnetic resonance. The system comprises a fluorescence excitation and collection unit which comprises a wide-field optical detection magnetic resonance pressure distribution imaging light path based on nano-diamond NV color center fluorescence and a pressure calibration light path based on a ruby microsphere fluorescence spectrum. Compared with the prior art, the technical effects of the invention are that a traditional single-point detection mode is broken through through a wide-field microscopic imaging method, submicron spatial resolution and 0.0045 GPa / Hz1 / 2 noise measurement sensitivity are realized, and a brand new stress field characterization means is provided for a high-pressure experiment.

The invention discloses an X-ray fluorescence spectrum detection method and system for bauxite, a medium and a product, and relates to the technical field of bauxite detection. According to the method, firstly, fluorescence spectrum data of a sample to be detected and mining area environment fingerprint data are obtained, and the initial concentration is determined through background noise stripping; then constructing a mineral phase interference network, calculating an interface radiation attenuation rate and a secondary fluorescence excitation probability based on mineral phase characteristics, and generating an interphase coupling interference matrix; constructing a stress field model according to environmental parameters, and correcting an interference matrix by using a lattice distortion coefficient; and inputting the symbiotic mineral phase combination into the environment adaptive interference model, and determining a nonlinear matrix effect deviation value. And finally, carrying out iterative compensation correction until the difference between adjacent correction values is smaller than a threshold value, and outputting accurate grade data of the target metal element. By implementing the technical scheme provided by the invention, the accuracy of X-ray fluorescence spectrum detection of bauxite can be improved.

The invention discloses an automatic detection method and system for the boundary dimension of a shield segment, and relates to the field of civil engineering, and the method comprises the steps: laying quantum dots on the surface of a to-be-detected shield segment, and exciting the quantum dots through ultraviolet laser to generate a fluorescence spectrum; the method comprises the following steps: receiving an optical signal penetrating through a medium gap in a to-be-detected shield segment through a single-pixel barrel detector to form a reflected light intensity sequence, and inputting the reflected light intensity sequence and a speckle pattern into a correlation reconstruction algorithm to generate a three-dimensional point cloud of a shielding area; and inputting the three-dimensional point cloud and the deformation compensation parameters into a deep learning network, generating a deviation thermodynamic diagram of the boundary dimension of the to-be-detected shield segment, automatically marking an area exceeding a tolerance threshold value based on the deviation thermodynamic diagram, and generating a detection result of the boundary dimension of the to-be-detected shield segment. According to the method, the internal medium gap is reconstructed through the single-pixel barrel detector and the basis tracking noise reduction algorithm, in a bolt hole oil stain shielding scene, compared with a traditional method, the reconstruction porosity error is reduced, and online analysis of the full-surface size error is achieved.

The invention belongs to the technical field of fluorescence spectrum collection, and particularly relates to a quasi-three-dimensional fluorescence spectrum collection method and spectrograph based on a software phase locking technology, and the method comprises the following steps: respectively modulating coprime modulation frequencies of a plurality of laser light sources with different wavelengths, and synchronously exciting the laser light sources to the surface of a sample; a fluorescence signal generated on the surface of the sample is received and processed by a linear array CCD detector to obtain a multi-wavelength spectral signal simultaneously containing background light, scattered light and fluorescence components; inputting the multi-wavelength spectral signal into a software phase-locked amplification system, introducing a Costas ring to the software phase-locked amplification system for real-time tracking and correction, and generating a synchronous reference signal consistent with the laser modulation frequency; inputting the synchronous reference signal into a software lock-in amplifier, and extracting a plurality of pure fluorescence spectrum components excited by specific-frequency laser; and synthesizing the plurality of pure fluorescence spectrum components to finally form a quasi-three-dimensional fluorescence spectrum.

The invention relates to the field of water quality detection, in particular to a water quality sampling detection method and device applied to a small and micro wetland unit. The method comprises the following steps: determining a turbidity coefficient according to scattered light intensity of a target water sample under different wavelengths, absorbance of a target interval in an ultraviolet absorption spectrum and fluorescence intensity of a target area in a fluorescence spectrum; determining a scattering equivalent absorption value of each wavelength according to the scattered light intensity of the target water sample under each wavelength, the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the turbidity coefficient; determining a real ultraviolet absorption signal of each wavelength according to the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the scattering equivalent absorption value of the wavelength; correcting the fluorescence spectrum according to the turbidity coefficient and the scattering equivalent absorption value of each wavelength to obtain a corrected fluorescence spectrum; and detecting the water quality according to the corrected fluorescence spectrum and the real ultraviolet absorption signal of each wavelength. According to the invention, accurate water quality sampling detection can be provided.

This invention discloses a method for detecting polycyclic aromatic hydrocarbons (PAHs) based on ultraviolet fluorescence and absorption spectroscopy, comprising: Step 1, acquiring the ultraviolet absorption spectrum and the fluorescence emission spectrum of a water sample under ultraviolet light excitation; Step 2, analyzing the corresponding CDOM fluorescence spectrum using the ultraviolet absorption spectrum obtained in Step 1; Step 3, subtracting the CDOM fluorescence spectrum obtained in Step 2 from the fluorescence emission spectrum obtained in Step 1 to obtain a mixed fluorescence spectrum containing multiple PAHs; Step 4, performing multivariate fitting on the mixed fluorescence spectrum obtained in Step 3 to obtain the type and concentration of each PAH in the water sample. This invention also provides a PAH detection device. The method provided by this invention is simple to operate and can directly detect raw water samples, thereby obtaining more accurate PAH detection results.

The invention relates to a method for determining the amount of at least one printing bottom applied to at least one paper layer as a carrier material by means of X-ray fluorescence analysis, the method comprises the steps of: providing a plurality of reference samples by applying at least one printing bottoming material to at least one carrier material in respectively differently quantificationally defined amounts; recording at least one X-ray fluorescence spectrum of each of the reference samples with at least one X-ray fluorescence measurement head for the divalent cations to be detected respectively contained in the printing bottoming part; associating differently quantificationally defined amounts of the printed bottoming of the reference sample with the recorded X-ray fluorescence spectrum of the mentioned reference sample; and creating a calibration model for a relationship between the recorded X-ray fluorescence spectrum of the reference sample and the affiliated quantificationally defined amount of the printed bottoming; providing at least one sample to be measured by applying at least one layer consisting of at least one printing bottoming part to at least one carrier material; recording at least one X-ray fluorescence spectrum of the sample to be measured using at least one X-ray fluorescence measuring head; and determining a quantitative amount of the printed bottoming applied to the carrier material in the sample to be measured by comparing the X-ray fluorescence spectrum of the sample to be measured with a calibration model created from the reference sample.

The application discloses a kind of XRF element quantitative analysis methods based on Transform-CNN, belongs to X fluorescence spectrum element detection technical field, comprising the following steps, step 1: obtaining XRF spectrum, determine element content;Step 2: channel intercept and data standardization processing;Step 3: division training set and test set;Step 4: construct feature mining coordination module;Step 5: build Transform-CNN deep learning model;Step 6: training set trains Transform-CNN model;Step 7: test set predicts target element content;Step 8: evaluation index evaluates model prediction effect.The application does not need to carry out complex pretreatment to XRF spectrum, can accurately, nondestructively, effectively detect the content of heavy metal element in soil.

The invention relates to a membrane simulation conjugated electrolyte and application thereof. The membrane simulation conjugated electrolyte has the following structure, the membrane simulation conjugate electrolyte has the beneficial effects that the membrane simulation conjugate electrolyte is designed, and a new means is provided for identifying different types of lipids and detecting a membrane microcell; the membrane simulation conjugated electrolyte based on the topological structure conjugated main chain shows a fluorescence spectrum blue shift characteristic due to conformation change in a membrane environment, so that the molecule shows flexible response capability to the change of a membrane microenvironment; besides, under the action of temperature change, the unique topological structure design enables the fluorescence characteristic to respond to the change of the membrane microenvironment, so that the detection of different types of lipids is realized.

A water pollution trend prediction method based on three-dimensional fluorescence spectrum image features comprises the steps that firstly, the three-dimensional fluorescence spectrum image features are extracted through a Krawtchouk moment and an HOG descriptor, and the Euclidean distance between a current measurement point and a normal water quality cluster center is calculated and used for representing feature space similarity; meanwhile, analyzing the similarity of the position relationship through a binarization template of a fluorescence spectrum contour curve; and finally, carrying out weighted fusion on the two similarities to realize anomaly detection. For trend prediction, the pollution development trend is judged by calculating the included angle between the to-be-detected point and each pollution type cluster center relative to the normal water quality cluster center. According to the method, high-precision anomaly detection is realized by fusing the feature space similarity and the position relation similarity, and the pollution trend is judged by using the included angle. The method not only can capture the subtle change of the position and shape of the fluorescence peak of the three-dimensional fluorescence spectrum, but also can improve the recognition and prediction capabilities.

The application relates to the technical field of spectral analysis, and discloses a fluorescence spectral analysis device and method based on a solid-state electron spin ensemble, wherein the spectral analysis device comprises a laser modulation unit, a confocal unit and a fluorescence processing unit; the laser modulation unit comprises a laser, a Griesinger-Taylor prism, an acousto-optic modulator, a beam expander, a collimating lens, a spatial light modulator, a spatial filter and a half-wave plate which are sequentially arranged; the confocal unit comprises a dichroic mirror, a focusing lens, a diamond and a microwave antenna which are sequentially arranged; the diamond has a solid-state electron spin NV color center; and the fluorescence processing unit comprises a filter group, a sleeve lens, a lens, a linear polarizer, a Bertin lens and a camera which are sequentially arranged. The application distinguishes the fluorescence generated by different axial NV color centers from the fluorescence level, and provides a thought and method for the miniaturization and bias magnetic field removal of a quantum detection device of the NV color center.

The application discloses a lysozyme content detection method in food, and belongs to the technical field of biological medicine detection. The method comprises the following steps: constructing a lysozyme detection standard curve; reacting a food sample to be detected with a fluorescent probe in a buffer system, measuring the fluorescence intensity of the reaction system, and calculating the lysozyme content in the food sample to be detected based on the standard curve. The application adopts a fluorescence spectrum method to research and compare the performance of polypeptide CALNNK (FITC) and lysozyme under different buffer systems, pH, temperature and reaction time conditions, and then uses the method to detect the lysozyme content in food. The 20 nmol / L polypeptide CALNNK (FITC) , BR buffer solution with pH=10.0, 4 min of time and 35 DEG C of temperature are the optimal reaction conditions, the lysozyme content in food can be quickly and accurately detected, and the method has far-reaching significance for the healthy development of the food industry.

The invention relates to the technical field of X-ray optics and spectral analysis, in particular to a multi-objective optimization design method and system for an X-ray fluorescence spectrum monochromator, and the main points of the technical scheme are as follows: S1, parameter and database input, S2, source spectrum generation and calibration, S3, monochromator dynamics solution, S4, multi-scheme comprehensive scoring and optimization selection, and S5, XRF forward modeling and system-level indexes. According to the method, an X-ray tube source parameter library is established to synthesize a real source spectrum containing a continuous spectrum and a characteristic line, an optimal design scheme is automatically searched in a multi-parameter space through a normalized weighted scoring system, and finally a simulated full spectrum is generated and system-level performance indexes are evaluated through an end-to-end'source-monochromatization-sample-detector 'forward modeling link. The problems that in a traditional design method, parameter coupling is complex, and model prediction deviation is large are solved, collaborative optimization of energy resolution, flux and purity is achieved, and technical support is provided for developing a high-performance XRF spectrograph.

The invention belongs to the technical field of water environment treatment, and discloses an intelligent grading water treatment system based on data driving. Comprising a water quality sensing module used for obtaining a standard fluorescence spectrum tensor of raw water in a water inlet area, carrying out feature deconstruction on the standard fluorescence spectrum tensor, and determining a component concentration feature vector of the raw water; the deduction and prediction module is used for inputting the component concentration feature vectors into a pre-constructed physical dynamics calculation engine for virtual deduction and generating a dynamic degradation trend prediction curve of the raw water; the decision planning module is used for determining a treatment level instruction label of the raw water based on the dynamic degradation trend prediction curve, further performing path and parameter planning on a process path and generating an execution mechanism control signal set; and the execution feedback module is used for driving on-site physical equipment to perform stage treatment on the raw water based on the execution mechanism control signal set and generating a stage treatment operation report, so that the scientificity of stage water treatment is improved.

This invention discloses a method for controlling the addition of supernatant from kitchen waste as a carbon source for denitrification based on three-dimensional fluorescence spectroscopy. The method includes steps such as sample collection and detection, three-dimensional fluorescence spectral processing, establishment of a multiple linear regression model, and control of the carbon source dosage. By acquiring real-time online data on the changes in three-dimensional fluorescence spectra during the denitrification process of nitrate-containing wastewater and combining this with a multiple linear regression model to predict carbon source consumption, this invention achieves precise control of the carbon source dosage, ensuring a sufficient supply of carbon source during the denitrification stage while avoiding waste caused by excessive carbon source addition. This significantly improves the denitrification rate, reduces energy consumption and operating costs, and ensures that the effluent quality meets standards.

The invention relates to a terahertz spectrum detection system and method, and the system comprises a laser system, a laser frequency locking system, an optical fiber coupling transmission system, a light spot shaping system, a terahertz fluorescence conversion system, a terahertz radiation source, and a fluorescence spectrum detection system. The laser frequency locking system is used for carrying out frequency locking on the two laser beams, the optical fiber coupling transmission system is used for transmitting the two laser beams after frequency locking to the light spot shaping system so as to shape the two laser beams after frequency locking, and the two laser beams after shaping excite cesium atoms in the terahertz fluorescence conversion system to a first Rydberg state; the terahertz radiation source is used for emitting terahertz light, the terahertz light excites the cesium atoms in the first Rydberg state to the second Rydberg state, and the cesium atoms in the second Rydberg state are de-excited to generate a fluorescence signal; the fluorescence spectrum detection system is used for collecting and detecting fluorescence signals.

Light-emitting element comprising: a first electrode (103); a light-emitting layer (703) above the first electrode (103), wherein the light-emitting layer (703) comprises a guest material and a host material; and a second electrode (108) above the light-emitting layer (703), where a fluorescence spectrum of the host material and a phosphorescence spectrum of the host material overlap the absorption band on the longest wavelength side (the side of lowest energy) in the absorption spectrum of the guest material, wherein the difference between the energy value of the maximum of the fluorescence spectrum of the host material and the energy value of the maximum of the absorption band on the side of the lowest energy in the absorption spectrum of the guest material, wherein this maximum has an absorption wavelength corresponding to a direct transition from the singlet ground state to the lowest excited triplet state of the guest material, is 0.2 eV or less, wherein the host material is a mixture of a heterocyclic compound and an aromatic amine compound or carbazole compound, and where the level of a triplet excitation energy of the host material is higher than the level of a triplet excitation energy of the guest material.

The invention discloses a component quality testing method of a metal-plastic composite material for an electric bicycle. The component quality testing method comprises the following steps: (1) determining the types of metal elementary substances by using an X-ray powder diffraction method; (2) measuring the content of the metal elementary substance by using an X-ray fluorescence spectrometry; and (3) determining the plastic content by using a calcination method or an extraction method. According to the invention, whether the material to be detected is the metal-plastic composite material or not can be determined, the type and content of metal simple substances and the content of plastic in the composite material can be detected, the blank in the industry is filled, and the development and application of the composite material in the electric bicycle industry are promoted.

The invention discloses a method for quantitatively detecting uranyl ions by adopting a silicon-based carbon dot material and application of the method, and belongs to the field of nano composite materials and radionuclide detection. Mixing the silicon-based carbon dot composite material with an acid solution containing uranyl ions, carrying out ultrasonic treatment, detecting the fluorescence intensity of the mixed solution by adopting a fluorescence spectrum, and quantitatively analyzing the uranyl ion concentration according to the uranyl ion concentration and a fluorescence intensity curve. The silicon-based carbon dot composite material is a silicon-based carbon dot material of which the surface is modified by functional groups; the functional groups comprise hydroxyl, carboxyl and amino. The method can generate stable fluorescence response change when acting with uranyl ions, accurate quantitative analysis of uranyl ion concentration can be realized, the silicon-based carbon dot composite material has high uranyl ion detection response speed by means of the synergistic effect of the nanoscale effect and the surface functional group, and detection can be completed in a short time.

The invention discloses a method for determining ash content of recycled polystyrene plastic by X-ray fluorescence spectroscopy, which comprises the following steps: selecting recycled polystyrene plastic with different ash content as a standard sample, determining the content of all elements of the plastic by using an X-ray luminoscope, taking organic components of the recycled polystyrene plastic as equilibrium phases to participate in calculation, and determining the ash content of the recycled polystyrene plastic by using the X-ray luminoscope to determine the ash content of the recycled polystyrene plastic. And dividing the standard sample into two sections according to the ash content, and fitting the two sections with the actual ash content function respectively. And measuring the fluorescence spectrum of the sample to be measured, calculating the theoretical ash content, and correcting the theoretical ash content by using a function. Compared with a standard ash content measuring method, the method does not need to burn plastic, and is simple, rapid, environment-friendly and safe. Compared with an empirical coefficient method of X rays, a direct tabletting method can be selected, a calibration curve of elements does not need to be established, and the analysis efficiency is improved; meanwhile, matrix effect and element spectral line overlapping caused by matrix difference between an actual sample and a standard sample are avoided, and the analysis precision is improved.

The invention discloses a multi-model fusion wheat berry mildew screening method, equipment and a storage medium, relates to the technical field of food safety and detection, and solves the problem of how to quickly and accurately detect aflatoxin in wheat berries. A fluorescence signal in a wheat berry sample is excited through a laser, and laser is introduced into the wheat berry sample through an optical fiber; a fluorescence signal generated after excitation is transmitted to a spectrograph to collect fluorescence spectrum data in real time; preprocessing the fluorescence spectrum data through a combined strategy of an SG smoothing method and a standard normal variable transformation method SNV to eliminate noise and light scattering interference; and inputting the preprocessed fluorescence spectrum data into a plurality of trained machine learning models for prediction, fusing prediction results of the plurality of models through an improved weighted average method, and outputting the aflatoxin pollution level of the sample to be analyzed according to a multi-model fusion result. The detection time of the aflatoxin in the wheat berry is greatly shortened, and the detection efficiency is improved.

The low-noise atom modulation spectrum detection system comprises a signal generator, sine wave signals generated by the signal generator are divided into two paths, one path is output to a laser device, and laser with modulation information is modulated in a current control mode; and the other path provides a reference signal for demodulation of the lock-in amplifier, the output laser is divided into pump light and probe light to ensure generation of saturated fluorescence in the rubidium atom steam chamber, then a low-noise silicon photoelectric detector is used for detecting a saturated fluorescence signal, and the lock-in amplifier demodulates and outputs the modulated saturated fluorescence signal. And meanwhile, a detection path of the saturated absorption spectrum is reserved, so that comparison with a modulated saturated fluorescence spectrum signal is facilitated. According to the invention, the requirement on the size of the atom steam chamber is obviously reduced, and the method is suitable for the application scenes of the Suppler spectrum, such as high-sensitivity, low-noise, anti-interference and miniaturized laser frequency stabilization and atom hyperfine structure detection.

The invention provides a method and system for quantitatively evaluating interpretation force of geochemical elements on unfavorable geology, and belongs to the technical field of unfavorable geology recognition of tunnel rock mass. Comprising the following steps: collecting geochemical element data of tunnel surrounding rock based on a portable X fluorescence spectrum analyzer, and calibrating an unfavorable geological range in combination with geological data; the spatial autocorrelation is fused through a dynamic sliding window and a variation function, layered heterogeneity detection is optimized, and variance deviation caused by uneven distribution of sampling points is corrected; and calculating the quantitative interpretation force of the geochemical elements in combination with the spatial dependency weight. According to the method, the limitation that a traditional method is insensitive to a space structure is broken through, the accuracy and stability of unfavorable geological recognition can be remarkably improved, and tunnel engineering geological risk early warning and prevention and control can be effectively guided.