79 results about "Laser raman" patented technology

The invention discloses a marine surveying and mapping method based on multi-beam sounding correction, and belongs to the technical field of marine surveying and mapping. The method comprises the following steps: acquiring sounding echo signals, sound wave propagation time delay data and temperature data through a multi-beam sonar array, an acoustic chromatography transceiving array and a laser Raman probe; and fusing the data to construct a dynamic refractive index field model, correcting sound ray refraction distortion by adopting an adaptive variable step size algorithm, carrying out weight allocation and data fusion on space-time adjacent beams to obtain high-confidence water depth, and generating an isobath topographic map. The problem of refraction distortion is solved through multi-source data fusion, the sound ray tracking step length is dynamically optimized, noise interference is suppressed through weighted fusion, and the precision and reliability of topographic surveying and mapping in complex environments such as a deep sea hydrothermal region are remarkably improved.

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.

The invention discloses a method for rapidly detecting the content of methane in combustible ice, which comprises the following steps: carrying out vacuum decomposition on a combustible ice sample by adopting a combustible ice vacuum decomposition device to completely decompose the ice sample to obtain combustible ice decomposed gas; and testing the combustible ice decomposed gas by using a microscopic confocal laser Raman spectrometer, analyzing the corresponding methane spectrum peak area according to the obtained Raman spectrogram, and calculating the methane content according to an external standard method. The combustible ice is placed in vacuum to be decomposed to obtain pure combustible ice decomposition gas, the decomposition device is pumped to be in a vacuum state through the vacuum pump, meanwhile, the temperature-controllable constant-temperature bath is used for controlling the decomposition temperature, the decomposition gas is collected through the phase equilibrium relation of the combustible ice, and the combustible ice decomposition gas is obtained. The method comprises the following steps: filling decomposition gas through a transparent gas bag, testing the decomposition gas by using a Raman spectrometer, carrying out baseline correction, curve smoothing and the like on a Raman spectrogram of a sample to obtain a Raman characteristic peak area, and rapidly detecting the content of methane in combustible ice by adopting an external standard method.

The invention belongs to the technical field of quartz raw ore process mineralogy analysis, and particularly relates to a quartz raw ore process mineralogy analysis method which is a method for judging whether quartz raw ore can be used as high-purity quartz raw ore or not. The quartz raw ore is subjected to sample preparation, wherein a sample preparation method of a powder sample comprises the steps of crushing, wet grinding, filtering concentration and drying in sequence; carrying out chemical component analysis, phase component analysis and crystal structure analysis on the obtained powder sample; and carrying out electron probe microcell analysis, laser Raman spectrum analysis, lithofacies microscopic analysis and inclusion microscopic analysis on the obtained optical sheet. According to the quartz raw ore process mineralogy analysis method, the preparation method of the powder sample is simple, low in energy consumption and environmentally friendly, meanwhile, the obtained powder sample is slightly polluted by the outside, the obtained quartz raw ore process mineralogy analysis result can be closer to a true value, meanwhile, stable production of high-purity quartz sand can be ensured, and the production cost is reduced. And the loss of manpower, financial resources and material resources is reduced.

The invention belongs to the technical field of gas detection, and relates to a ship exhaust gas multi-component synchronous online monitoring system and method based on a laser Raman spectrum. The system comprises a sampling module, a preprocessing module, an analysis module, a data processing module, a blowback module and a flow measurement module. The method comprises the following steps: starting and self-checking the system; sample collection, pretreatment and flow velocity measurement; laser excitation and signal acquisition; carrying out spectrum analysis and concentration inversion; data output and system maintenance; and performing periodic automatic calibration. According to the invention, a complete monitoring process chain from sampling, pretreatment, flow measurement, analysis to back flushing is creatively integrated. The high-efficiency pretreatment and back flushing design greatly reduces the influence of high-dust and high-humidity environment on the analysis system, and ensures the long-term stability and reliability of the system.

The invention relates to an evaluation method for representing the carbonization degree of sedimentary organic matter by considering second-order laser Raman parameters, a new parameter aiming at a second-order peak is defined, a set of new formula is provided, the formula considers evolution laws of S2 and S3 in the second-order peak on the basis of considering parameters of a first-order D peak and a first-order G peak, and the method is suitable for the evaluation of the carbonization degree of the sedimentary organic matter. The carbonization degree of the organic matter can be represented more comprehensively and reasonably, and the method is more suitable for the carbonization degree S-RmcRo / % of the organic matter with higher thermal evolution degree.

The invention discloses a submarine natural gas hydrate in-situ measurement method and measurement equipment. The method comprises the steps that S1, a wire-line coring drilling tool is put into a well; s2, coring drilling is conducted through a wire-line coring drilling tool, and drilling is stopped when a rock core is filled with a rock core barrel; s3, the inner pipe assembly is taken out through a rope fishing assembly; s4, lifting the drill for the first time; s5, putting the Raman spectrometer into the outer pipe assembly by adopting a rope fisher; s6, the drill is lifted for the second time, and the probe is adopted to detect whether ice-like crystals exist or not; s7, if the Raman spectrometer is not detected, the Raman spectrometer is taken out, the inner tube assembly is put into the Raman spectrometer, and the steps S2-S6 are repeated; s8, if the natural gas hydrate reservoir is detected, positioning the position of the potential natural gas hydrate reservoir, carrying out laser Raman scanning through a probe, analyzing and judging whether the natural gas hydrate exists or not, then taking out the Raman spectrometer, putting the Raman spectrometer into the inner pipe assembly, and repeating the steps S2-S6; in this way, drilling coring, camera shooting observation and in-situ Raman spectrum measurement can be achieved at the same time, and the exploration efficiency and accuracy are effectively improved.

The application discloses a household garbage fine separation method and system suitable for pyrolysis and fermentation, and belongs to the technical field of solid waste treatment and resource utilization, and comprises pre-crushing, first magnetic separation, drum screening, air separation, fine crushing, second magnetic separation and Raman light selection; a separation equipment integrating a visual sensor and a laser Raman spectrum probe is adopted to identify and separate the material after the second magnetic separation, so that different kinds of plastics are separated based on the molecular vibration fingerprint information of the material; wherein each step is uniformly scheduled and controlled by an automatic control system according to a preset program or real-time feedback parameters, and the dust generated in the whole process is collected and purified by a tail gas dust removal control system. Through the construction of a multi-stage collaborative process route, the material is fully dissociated and purified step by step, and the problems of low separation precision and poor system collaboration are solved by cooperating with automatic unified scheduling and full-process dust removal.

The invention belongs to the technical field of surface enhanced Raman scattering (SERS) detection, and relates to an electrochemical Raman SERS substrate and a trace substance selective detection method. The electrochemical Raman SERS substrate comprises a bottom layer and a surface layer, the bottom layer is a conductive substrate, and the surface layer is a semiconductor oxide film. Taking an electrochemical Raman SERS substrate as a working electrode, immersing the working electrode into the detection liquid A to construct a three-electrode system, and carrying out laser Raman spectrum detection by utilizing a Raman spectrometer and an electrochemical workstation; the detection solution A comprises a target detection substance and an electrolyte solution. According to the technical scheme provided by the invention, electrochemical cycle regulation and control of semiconductor band gaps is matched and combined with molecular HOMO-LUMO energy levels, so that precise recognition of a single component in a mixture can be realized; according to the technical scheme, the regulation and control flexibility is high, and multi-component detection can be completed without replacing the substrate. The trace substance selective detection method is wide in applicability, simple, convenient and efficient to operate, free of complex pretreatment and suitable for on-site rapid screening.

The application provides a fault identification method and system based on multi-element spectral mineral anomaly analysis, relates to the fields of geology, spectroscopy, petrology and engineering geology, and a specific scheme comprises the following steps: in-situ testing of tunnel surrounding rock is carried out by using a visible light-near infrared, mid-infrared and laser Raman spectrometer, and mixed spectral variation characteristics are extracted; based on the mixed spectral variation characteristics, the mineral composition of the tunnel surrounding rock is identified according to the spectral identification standard of the abnormal mineral combination of the fault zone, quantitative inversion of the minerals is carried out, and the mineral content is obtained; according to the mineral anomaly mode of the fault zone, mineral anomaly analysis is carried out on the mineral composition, and the mineral anomaly type is obtained; based on the differential change of the mineral content and the mineral anomaly type, mineralogical anomaly characteristic analysis is carried out, and the fault identification result is output; the application replaces the experience knowledge of traditional geologists with quantitative information of multi-element spectral mineral anomaly, and further improves the accuracy and efficiency of fault identification in tunnels and underground engineering.

The invention belongs to the field of two-dimensional field effect transistors, and particularly relates to laser Raman patterned TMDs, preparation of the laser Raman patterned TMDs and application of the laser Raman patterned TMDs in the field effect transistors, and the preparation method comprises the step that laser Raman scanning is conducted on a TMDs two-dimensional material through a laser confocal micro Raman spectrometer to achieve patterning processing, in the laser Raman scanning stage, the laser wavelength is 355-633 nm, and the power is 40-60 mw; the scanning mode is a line focusing scanning mode; and the value of a Raman peak in a scanning mode is 1-1000 cm <-1 >. According to the invention, patterning processing is carried out on the TMDs two-dimensional material based on a laser Raman scanning means, and combined control of parameters such as a scanning mode and conditions is further matched, so that synergy can be realized, nearly lossless patterning of the TMDs can be realized, and patterning and a subsequent field effect transistor preparation process are simplified; and the performance loss of the field effect transistor can be reduced, and the relatively stable performance can be maintained even when devices with different channels are prepared.

The invention belongs to the technical field of laser Raman gas analysis and detection, and particularly relates to a zero drift suppression and ray interference resistance method for laser Raman gas detection. According to the method, the interference of noise and cosmic rays in the laser Raman gas quantitative detection process can be reduced, so that the precision of a laser Raman gas quantitative detection result is relatively high, a data abnormal phenomenon hardly exists, and the probability of zero drift can be reduced. According to the method, the influence caused by noise and cosmic rays can be eliminated in a large probability.

The invention discloses a method for generating dual-wavelength pulse laser through a lens array. The method comprises the steps that a laser serves as a pump light source to emit a laser beam; the laser beam is adjusted through a beam shaping system; the adjusted laser beam is converted into a plurality of sub-beams by a microlens array 4f system; the plurality of sub-beams are reflected back and forth in the Fabry-Perot cavity; the reflection of the plurality of sub light beams in the Fabry-Perot cavity passes through the laser Raman crystal; and the plurality of sub light beams are emitted from the surface of the Fabry-Perot cavity to form a dual-wavelength pulse laser light source. The laser frequency conversion efficiency and the new wavelength power are remarkably improved, and the laser utilization rate is increased.

The application discloses a method and device for testing interfacial water in a Z direction with nanometer scale step by Raman spectrum, and the method comprises the following steps: providing a bottom plate and an upper substrate on the top surface of the bottom plate, modifying the top surface of the bottom plate and the bottom surface of the upper substrate according to the interfacial type of the interfacial water to be tested; the left edge surface of the top surface of the bottom plate is attached to the left edge surface of the bottom surface of the corresponding upper substrate, and a partition is arranged between the top surface of the bottom plate and the bottom surface of the corresponding upper substrate; the partition forms a gap with increasing height between the top surface of the bottom plate and the bottom surface of the upper substrate; the water solution to be tested is added in the gap, the step length of the horizontal movement of the laser Raman is set, the Raman spectrum at different distances in the Z direction is obtained by detection, and the interfacial water condition at different distances in the Z direction is obtained by analysis. The method successfully analyzes the change of the interfacial water structure at different distances in the Z direction with nanometer scale for the first time.

The invention discloses a method for testing the content of phosphorus pentafluoride, and belongs to the field of chemical detection. The detection process comprises the following steps: preparing mixed standard gas, and preparing to-be-detected sample gas; respectively connecting a gas steel cylinder for mixing the standard gas and the sample gas to be detected with a laser Raman spectrum gas analyzer; acquiring the characteristic peak intensity value of each component of the mixed standard gas, and calculating the response coefficient of the impurity gas relative to the nitrogen according to a formula 1; according to the obtained relative response coefficient, the peak intensity of the impurity gas relative to nitrogen is calculated through a formula 2, and finally the accurate percentage content of PF5 is calculated through a normalization method of a formula 3. Ri = psi nitrogen I miscellaneous / psi miscellaneous I nitrogen (1), INi = Ii / Ri (2), and psi = 100% INi / # imgabs0 # (3). According to the testing method, the content of each component in phosphorus pentafluoride can be accurately quantified, the situation that impurities cannot be separated from a main peak in gas chromatography is avoided, and the situation that main content calculation is inaccurate due to the fact that the content of diatomic molecules cannot be obtained in gas infrared detection is also avoided.

The application discloses a method for generating a dual-wavelength pulsed laser by using a lens array, which comprises the following steps: a laser is used as a pumping light source to emit a laser beam; the laser beam is adjusted by a beam shaping system; the adjusted laser beam is converted into a plurality of sub-beams by a micro-lens array 4f system; the plurality of sub-beams are reflected back and forth in a Fabry-Perot cavity; the reflection of the plurality of sub-beams in the Fabry-Perot cavity is subjected to a laser Raman crystal; and the plurality of sub-beams are emitted from the surface of the Fabry-Perot cavity to become a dual-wavelength pulsed laser source. The application significantly improves the laser frequency conversion efficiency and the power of a new wavelength, and improves the utilization rate of the laser.

The present application provides a kind of solid pitch identification method based on rock slice, specifically comprising: grinding rock sample into rock slice, under polarizing microscope, the occurrence and optical property characteristics of solid pitch are observed using transmitted light, organic microcomponent and metal mineral interference are discharged, under polarizing microscope, the optical property characteristics of solid pitch are observed using reflected light, organic microcomponent and metal mineral interference are excluded, laser raman characteristics of solid pitch are tested, dark mineral interference is excluded, optical property characteristics and laser raman characteristics are comprehensively analyzed, and solid pitch is qualitatively and quantitatively identified.The method provided by the present application comprehensively considers the components most likely to be confused with solid pitch in rock, and is more in line with geological actual conditions;Rock slice preparation belongs to the most conventional and basic sample preparation method in the field of petroleum geology, which is simpler, more convenient and lower in cost;The identification method is simple, strong in operability and strong in universality;The qualitative and quantitative identification method has high accuracy.

The invention discloses a filling machine system based on the Internet of Things, and relates to the technical field of urea filling machines. A multi-mode fusion sensing module collects working condition environment, equipment health, fluid component traceability and characteristic full-dimension data through a three-dimensional and near-field traceability sensing array, a laser Raman spectrum and a micro-fluidic chip detector; the federated learning collaborative decision-making module derives a working condition-fluid interaction coefficient and an equipment-fluid adaptation degree based on the data, and evaluates a dynamic optimization strategy starting demand; the digital twinborn driving control and protection optimization module constructs a 1: 1 twinborn simulation optimal operation state, and generates a dynamic filling or anti-corrosion adjustment scheme adaptive to the scene; and the cross-equipment knowledge migration closed-loop module issues an optimization instruction, constructs a three-level compensation system based on the temperature regression duration and the corrosion rate variation, and analyzes a multi-parameter compensation scheme. Full-dimensional perception, intelligent decision making, dynamic adaptation and closed-loop optimization of data are achieved, and filling accuracy, safety and operation and maintenance efficiency are improved.

The invention provides a device and a method for medical Raman spectrum detection, and belongs to the technical field of Raman spectrum detection. The device comprises a laser used for emitting laser to a sample; the Raman probe device is configured to comprise a laser excitation light path and a Raman signal collection light path, the laser excitation light path is used for transmitting the laser emitted by the laser to the sample, and the Raman signal collection light path is used for collecting Raman signal light generated after the laser excites the sample; and the spectrograph is used for receiving the Raman signal light from the Raman signal collection light path and carrying out spectrogram collection and analysis on the Raman signal light. According to the device for medical Raman spectrum detection, the position consistency of Raman signal light of an excitation sample and a collection sample can be ensured, signal crosstalk is effectively blocked, the purity and the singleness of Raman signal collection are realized, and the accuracy and the reliability of data analysis are improved.

The invention relates to a spatial displacement laser spectrum detection method for wood identification. The method comprises four steps of instrument initialization, surface layer laser spectrum detection, base layer spatial displacement spectrum detection and comprehensive spectrum analysis of a detection target. The beneficial effects are that the same infrared laser is used as a laser pumping source of the infrared photonic crystal fiber and an infrared laser source for spatial displacement spectrum detection. The infrared absorption spectrum of the target surface layer and the infrared laser Raman and fluorescence spectrum of the base layer in the same wave number section can be detected at the same time, so that the material identification of the surface layer and the base layer is realized at the same time. Meanwhile, the wave number resolution of the infrared spectrum Fourier transform spectrum module is high, so that the high-resolution infrared laser Raman and fluorescence spectrum of the base layer can be obtained, and fine spectrum data is provided for base layer material identification. And the requirement for on-site rapid detection of wood products is met.

Provided is an inexpensive, low-environmental-burden laminated metal sheet and laminated metallic container that have basic properties such as formability, adhesion between the film and the metal sheet, and corrosion resistance, and that do not suffer from degradation in appearance due to whitening even when subjected to retort sterilization treatment. The laminated metal sheet 10 has a first film 31 laminated on at least one of a front surface 21 or a back surface 22 of a metal sheet 20. The first film 31 is homopolyethylene terephthalate or copolymer polyethylene terephthalate, and w(x) obtained by a linearly polarized laser Raman spectroscopic analysis for a cross section of the first film 31 satisfies the following expressions (1) and (2):w1730ID(1.)≤20⁢ cm-1 (1)w1730ND(1.)≤20⁢ cm-1.(2)

The invention belongs to the technical field of oil and gas resource exploration, particularly relates to a shale maturity evaluation method and system based on laser Raman spectrum classification, electronic equipment and a computer readable storage medium, and aims to solve the problem that the maturity of shale with complex components is difficult to accurately evaluate by an existing maturity evaluation method. The method comprises the following steps: firstly, identifying microscopic components of algae, inert plastid, vitrinite and solid asphalt in a sample; testing each component by using a laser Raman spectrometer to obtain spectral data, and calculating RBS values (displacement difference between a G peak and a D peak) and a mean value; models (a linear model for inert / vitrinite and an index model for algae / solid asphalt) are selected according to a component evolution mechanism and substituted into an RBS average value to obtain equivalent vitrinite reflectivity of different macerals, and the maturity is evaluated according to the equivalent vitrinite reflectivity. The method solves the problem of continental facies multi-component evaluation deviation, breaks through the bottleneck of no vitrinite of marine facies, is fast in test and low in data dispersion, and provides support for shale oil and gas evaluation.

The invention discloses a controllably prepared gold nanorod self-assembled array SERS (Surface Enhanced Raman Scattering) substrate as well as a preparation method and application thereof, and relates to the technical field of SERS (Surface Enhanced Raman Scattering) detection. The substrate comprises a silicon wafer and a surface self-assembled PVP modified gold nanorod array (the length-diameter ratio is 2.5 / 3.1 / 3.5 / 4.2, optimally 3.5), and the array is a continuous compact single-layer film and is excellent in uniformity and reproducibility. The preparation method comprises the following steps: synthesizing gold nanorods by adopting a seed crystal method, and preparing the substrate through three-phase self-assembly (dispersion liquid, dichloromethane, water and normal hexane); during application, a honey sample is pre-treated by a Carrez reagent and then is applied to a substrate, 785nm laser Raman detection is carried out (the characteristic peak is 1524cm <-1 >), the standard substance detection limit is 0.1 mg / L, the honey detection limit is 1mg / L, the adding standard recovery rate is 73.32%-95.92%, and the method is suitable for accurate detection of honey 5-HMF.

The invention belongs to the technical field of laser Raman spectrum detection, and relates to a multicolor electrochromic SERS (Surface Enhanced Raman Scattering) substrate as well as a preparation method and application thereof, the method comprises the following steps: synthesizing a vanadium pentoxide nanobelt by using vanadium pentoxide powder as a raw material through a simple solvent treatment method, and preparing the multicolor vanadium oxide electrochromic SERS film substrate by adopting a spraying processing technology. The multicolor vanadium oxide electrochromism SERS substrate has electrochromism and SERS effects, the change of charge transfer, charge density and band gap width is accompanied in the electrochromism process, and the SERS performance of the multicolor vanadium oxide electrochromism SERS substrate can be remarkably changed through the change. The color, the transmittance, the energy band gap and the detection performance can be accurately, reversibly and visually regulated and controlled by naked eyes by changing the external potential. The color of the multicolor electrochromic SERS substrate and the SERS detection performance have strong relevance, the SERS detection performance and molecular selectivity of the multicolor electrochromic SERS substrate can be judged through color change, and the multicolor electrochromic SERS substrate has great significance in trace detection of to-be-detected molecules.

The present invention provides a classification model for sheep echinococcosis and sheep brucellosis based on serum Raman spectroscopy, a method for establishing the model, and a detection device. The method for establishing the classification model for sheep echinococcosis and sheep brucellosis based on serum Raman spectroscopy comprises: (1) collecting blood from healthy sheep and diseased sheep, extracting serum, and obtaining serum samples; (2) detecting the serum samples using a laser Raman spectrometer to obtain Raman spectral data; (3) performing noise reduction, baseline correction, and normalization on the Raman spectral data to obtain pre-processed spectral data; (4) performing principal component analysis (PCA) dimensionality reduction on the processed spectral data, and then establishing a linear discriminant analysis (LDA) or support vector machine (SVM) classification model to obtain a classification model for sheep echinococcosis and sheep brucellosis. The classification model and detection device established by the present invention based on machine learning algorithms and Raman spectroscopy have potential in screening sheep infected with echinococcosis and sheep infected with brucellosis.

The invention belongs to the technical field of low-temperature vein ore deposit mineralization center positioning methods, and particularly relates to a low-temperature vein ore deposit mineralization center positioning method based on muscovite group minerals, which comprises the following steps of: collecting, analyzing and sorting regional geological data, and collecting geological characteristics, mineralization background, regional structure and metamorphic background of a mining area; analyzing muscovite cause types and determining mineralization conditions; field geological survey sampling and drilling rock core logging are carried out, surrounding rock alteration characteristics are observed, sampling and logging rock cores are recorded, and test samples are collected at intervals; the short-wave infrared spectrum technology, the electronic probe technology and the laser Raman spectrum technology are creatively integrated, classification characterization and multi-dimensional data mining are carried out on muscovite family minerals, key parameters such as Pos2200, ISM values and Raman peak displacement of the muscovite family minerals are extracted, muscovite types related to and unrelated to the minerals can be effectively distinguished, invalid indication information is eliminated, and the mining quality is improved. The positioning precision of the concealed ore body is remarkably improved, and the problems that relevance interpretation is insufficient and positioning is fuzzy in a traditional single technical means are solved.

This invention discloses a method and system for monitoring low-temperature solid-state reactions in gas-solid two-phase flow based on in-situ Raman spectroscopy, relating to the application of fiber optic sensing in solid-state reactions. The method includes: S1, designing the thickness t of the observation window glass on the top cover of the reaction chamber based on the volume of the gas-solid two-phase flow low-temperature solid-state reaction device; S2, installing the laser Raman probe in the in-situ Raman spectroscopy detection module at the location of the observation window glass; S3, adjusting the operating parameters of the gas-solid two-phase flow low-temperature solid-state reaction device and introducing high-pressure nitrogen gas into the reaction chamber; S4, starting the in-situ Raman spectroscopy detection module, setting the spectral acquisition parameters, and acquiring the Raman spectral characteristics of the substances within the reaction chamber through the laser Raman probe. Based on the acquired Raman spectral data, this invention can be used to analyze the solid-state reaction mechanism and reaction kinetics, and provide real-time feedback information for the optimized design of low-temperature solid-state reaction conditions in gas-solid two-phase flow.

The invention relates to the technical field of detection and enrichment of minerals in coal, and particularly provides a coal sample ashing degree control method and system based on a laser Raman spectrum. The method comprises the following steps: acquiring a laser Raman spectrogram of a coal sample in real time in an ashing process of the coal sample; determining ashing process characterization parameters of the coal sample based on the laser Raman spectrogram; turning over the coal sample based on a comparison result of the ashing process characterization parameter and the dynamically adjusted trigger threshold value; when it is judged that the ashing process characterization parameter reaches the preset completion standard, an ashing completion signal is output. The system comprises a coal sample ashing unit, a laser Raman instrument and a controller. The ashing unit comprises a sample bin, a coal sample bearing piece and a vibration device coupled with the coal sample bearing piece. An optical probe of the laser Raman instrument penetrates through the bin wall, and a light path of the optical probe is aligned with the sample area. And the controller is electrically connected with the laser Raman instrument, the vibration device and the sample bin. Therefore, closed loop of real-time monitoring, automatic judgment and automatic execution is realized, the necessity of manual intervention is thoroughly eliminated, the automation of the whole process is realized, the ashing efficiency can be improved, and the analysis of minerals and key metals can be realized.

The invention belongs to the technical field of Raman spectrum analysis, and particularly relates to an optical flow control Raman sensing chip based on an SERS substrate and a preparation method of the optical flow control Raman sensing chip. Comprising a first PDMS layer, a silicon-based optical waveguide layer and a second PDMS layer, the silicon-based optical waveguide layer is arranged on the top surface of the first PDMS layer, the silicon-based optical waveguide layer is provided with a top surface and two side surfaces, the second PDMS layer is located on the top surface and the side surfaces of the silicon-based optical waveguide layer, the surface, facing the side surface of the silicon-based optical waveguide layer, of the second PDMS layer is provided with a near-concentric cavity, and the near-concentric cavity is communicated with the silicon-based optical waveguide layer. The SERS composite layer is arranged in the near-concentric cavity, a reflecting film is arranged on the arc-shaped inner wall of the near-concentric cavity, a target solution is specifically combined with the SERS composite layer through the microfluidic channel, the SERS composite layer loaded with the target generates Raman laser under excitation of pump light, and the Raman laser outputs enhanced Raman laser under the synergistic effect of the arc-shaped inner wall and the reflecting film. Through the multi-dimensional coupling enhancement effect of the cavity structure, the collection efficiency of Raman signals is remarkably improved.

The invention relates to the field of geological mineral products, discloses a detection analysis and prospecting indication method for altered minerals in a granite type uranium deposit, and particularly relates to identification of components of red altered substances which are widely developed in Northern Guangdong cotton pit uranium deposits and research on prospecting indication significance of uranium deposits. Through the technologies of a polarizing microscope, a scanning electron microscope, laser Raman, an electron probe, LA-ICP-MS and the like, it is revealed that red substances in the cotton pit uranium deposit are mainly composed of hematite, goethite and a small amount of magnetite. Researches find that hematite in different forms is closely related to the enrichment degree of uranium, self-shaped and semi-self-shaped hematite is rich in uranium mineral inclusion, and disseminated hematite contains uranium in an adsorption form. According to the method, a theoretical basis is provided for prospecting of the granite type uranium ore, and particularly, the uranium mineralization potential is predicted through the crystal morphology of iron oxide (hydroxide) and element geochemical characteristics.