38 results about "Laser raman" patented technology

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 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 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 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 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.

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 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 application discloses a shale organic matter maturity acquisition method and device, which is applied to a shale gas well to be predicted. First, regional reservoir characteristics are input into a shale gas reservoir rock physical volume model to calculate shale resistivity. Then, shale resistivity and logging resistivity are subjected to division operation to obtain a maturity factor. Finally, a relationship model of the maturity factor and shale organic matter maturity is established by means of a laser Raman experiment. When the maturity of organic matter of different shale gas wells to be predicted is quantitatively evaluated, the maturity factor can be calculated by means of logging data, and the corresponding relationship between the maturity factor and the shale organic matter maturity can be reflected by establishing the relationship model, so that the maturity of the high-mature marine shale organic matter can be quickly and relatively accurately calculated.

The invention relates to the technical field of jadeite detection, in particular to a method for identifying organic matter types in jadeite based on a laser Raman spectrum D / G peak. According to the invention, the trace unsaturated hydrocarbon component (1t) of solid wax oil in jadeite is found for the first time; according to the present invention, the laser Raman spectrum D / G peak can induce the D peak (1350 + / -20 cm <-1 >) and the G peak (1600 + / -20 cm <-1 >) under the thermal effect of the laser, such that the method for determining the type of the organic matter in the jadeite based on the laser Raman spectrum D / G peak is developed for the first time, if the D peak and the G peak appear at the same time or only the G peak appears in the laser Raman spectrum, the organic matter in the jadeite is determined to be the solid paraffin, and if the D peak and the G peak appear in the laser Raman spectrum, the organic matter in the jadeite is determined to be the organic matter in the jadeite is determined to be the organic matter in the jadeite. Therefore, the corresponding relation between the unsaturated olefin component in the wax oil and the D / G peak of the Raman spectrum is established, and the blank of qualitative analysis of the organic matter of the jadeite is filled.

The application discloses a method for rapidly detecting the content of methane in combustible ice, and comprises the following steps: using a combustible ice vacuum decomposition device to perform vacuum decomposition on a combustible ice sample, so that the combustible ice sample is completely decomposed to obtain combustible ice decomposition gas; using a microscopic confocal laser Raman spectrometer to test the combustible ice decomposition gas; according to the obtained Raman spectrum, analyzing the corresponding methane spectrum peak area; and according to the external standard method, calculating the content of methane. The combustible ice is placed in vacuum for decomposition to obtain pure combustible ice decomposition gas; a vacuum pump is used to extract the decomposition device to a vacuum state; a constant temperature bath with controllable temperature is used to control the decomposition temperature; the phase equilibrium relationship of the combustible ice is used to collect the decomposition gas; a transparent gas bag is used to fill the decomposition gas; the Raman spectrometer is used to test the decomposition gas; the Raman spectrum of the sample is subjected to baseline correction, curve smoothing and other treatments to obtain the Raman characteristic peak area; and the external standard method is used to realize the rapid detection of the content of methane in the combustible ice.

The invention relates to the technical field of graphite negative electrode materials of lithium ion batteries, and discloses a method for evaluating the uniformity of a coating layer on the surface of coated graphite, which comprises the following steps: S1, respectively carrying out Raman surface scanning detection on a graphite base material and the coated graphite by using a laser Raman spectrometer to obtain ID / IG values of a plurality of point positions in a scanning range; s2, arranging ID / IG values of the graphite base material in a descending order, and removing front 10%-20% of point locations to obtain optimized data I; selecting the maximum ID / IG value in the optimized data I as a critical point M; s3, arranging ID / IG values of the coated graphite in a descending order, and removing front 10%-20% of point positions and rear 10%-20% of point positions to obtain optimized data II; and S4, calculating the coating rate K of the coated graphite: K = A / B. The accuracy of calculating the coating rate is high.

The invention provides a paleo-pressure evolution history recovery method and device in a shale gas forming process. The corresponding method comprises the following steps: determining a crack period of a crack according to an original occurrence of the crack of a rock sample in a target work area, a cement filling characteristic, a stratum occurrence of a stratum where the rock sample is located and a crustal stress direction of the target work area; wherein the crack is formed in a structure lifting stage or a settlement stage of the target work area; determining the paleopressure corresponding to the crack period according to the temperature of the salt water inclusion in the rock sample, the density of the pure methane inclusion and the laser Raman spectrum measurement result; and recovering the paleo-pressure evolution history of the target work area according to the magnitude of the paleo-pressure, a pre-generated burial history simulation result of the target work area and a pressure simulation result. The paleopressure at different times can be accurately, visually and continuously obtained, and the dynamic change of the formation pressure in the shale gas forming process is revealed from the angle of integration of geology, experiments and simulation, so that a basis is provided for shale gas exploration and development.

The invention discloses a micro-plastic type and aging state synchronous identification method and system based on a dual-wavelength laser Raman spectrum, and belongs to the technical field of environment detection and analysis. The method comprises the following steps: collecting Raman spectrum data of the same micro-plastic sample under 532 nm laser and 785 nm laser; preprocessing and stacking along channel dimensions to construct a two-channel one-dimensional fusion tensor; and inputting the tensor into a pre-trained multi-task deep learning model. The model adopts an architecture of a shared feature extraction backbone network and double parallel classification heads, and can synchronously output types and aging state recognition results of the micro-plastics. According to the method, complementary information of the dual-wavelength spectrum is fully utilized, high-precision, automatic and synchronous identification of the types and aging states of the micro-plastics is realized through feature fusion and multi-task learning, the detection efficiency and accuracy are remarkably improved, and a reliable technical means is provided for precise evaluation of environmental risks of the micro-plastics.

The invention relates to the technical field of nano material preparation, and particularly discloses a substrate growth pulling method of an ultra-long few-walled carbon nanotube array. The method comprises the following steps: firstly, pretreating a substrate, loading a zinc-based MOF derivative catalyst and forming a polymer transition layer; then in a reaction environment capable of providing an alternating magnetic field, a gradient electric field, a near-infrared light thermal field and layered gas flow, heating and introducing a carbon source gas in a pulse manner to grow the array, and meanwhile, carrying out on-line monitoring and real-time closed-loop regulation on growth parameters by utilizing a laser Raman spectrum; after the array grows to a preset height, staged gradient stress release lifting is executed, and layered airflow is used for assisting in stripping; and finally, removing the residual catalyst in an oxidizing atmosphere. The carbon nanotube array can be used in the fields of nano devices, composite material reinforcement and the like, and has the advantages of excellent directionality, low defect rate and strong structural integrity. The preparation method provided by the invention can be used for efficiently preparing the high-performance ultra-long few-walled carbon nanotube array.

The invention relates to a method for identifying dyed red jadeite based on multispectral combination, which belongs to the technical field of gemstone identification, and is realized by the following steps of: firstly, testing Raman shift of a sample by using a laser Raman spectrometer, and judging whether the sample is jadeite or not according to the characteristic Raman shift; then testing a functional group region peak position of the sample by adopting an infrared spectrum transmission method, and identifying whether the sample is subjected to organic dyeing treatment or not through a specific organic matter characteristic peak and an impurity mineral structure water characteristic peak; and finally, testing the ultraviolet-visible reflection spectrum of the sample, carrying out first-order derivative treatment, and identifying whether the sample is inorganic dyed red jadeite or natural red jadeite according to the peak position of the treated spectrogram. According to the method, the natural red jadeite and the dyed red jadeite can be efficiently and accurately identified, the identification efficiency and accuracy of the dyed red jadeite can be improved, and the market disorder of the red jadeite is reduced.

The invention provides a non-stop drunk driving detection system and method fusing a laser absorption spectrum and a laser Raman spectrum. Comprising a dual-mode laser emitting unit, a light transmission unit and a signal receiving and processing unit. In the transmitting unit, a signal generator generates a superposition modulation signal of sawtooth waves and sine waves to drive a first laser to output modulation laser for absorption spectrum analysis; the second laser outputs laser for exciting Raman scattering; and the mode switching controller supports synchronous work of an absorption mode, a Raman mode or dual modes. The optical transmission unit emits the laser light to a vehicle cabin and collects a return optical signal. The receiving and processing unit demodulates an absorption signal through a lock-in amplifier to obtain a harmonic wave, analyzes a Raman scattering signal through a spectrograph to obtain a characteristic peak, and further calculates the alcohol concentration, so that rapid and reliable non-contact detection is realized.

The application discloses a kind of detection methods of regenerated polyester fiber, comprising the following detection steps: step S1, detection cloth is laid on detection bearing seat, detection bearing seat includes arc surface in upper portion, cloth is laid with arc surface and is attached;Step S2, open detection light path, the light of detection light path is focused on the P point of cloth outer surface, the light of detection light path is shot and the included angle α is formed with the normal direction of cloth at P point;Step S3, adjust the height difference of detection light path and cloth, so that the included angle α changes, to adapt to the included angle α value required by different cloth;Step S4, using laser raman spectrometer as the light source of detection light path, to detect the regenerated polyester fiber of cloth.The application provides a kind of detection methods of regenerated polyester fiber, changes incident included angle α to meet the detection needs of different cloth.

The utility model relates to the technical field of experimental teaching instruments, in particular to a dual-wavelength laser Raman spectrum experimental instrument, which comprises a reflector path system, a monochromator and a photoelectric detector, the reflector path system comprises a shell, a first laser, a long-pass optical filter, a first diaphragm, a second diaphragm, a short-focus achromatic lens, a sample table and a long-focus achromatic lens; the instrument further comprises a second laser, a first reflecting mirror, a second reflecting mirror, a third reflecting mirror and an inclined hole reflecting mirror. An opening is formed in the machine shell, and a turning cover is arranged on the opening. The laser Raman spectrum experimental instrument overcomes the defects that in the prior art, a laser Raman spectrum experimental instrument used for experimental teaching is of a closed structure and adopts a single-wavelength excitation light source, so that teaching content and teaching effects are limited, and the external light path system adopts an open structure and is provided with two lasers. Students can fully understand the internal structure of the instrument and the influence of excitation light sources with different wavelengths on experimental results, and the teaching effect is improved.

The application belongs to the technical field of Raman spectrum analysis, and particularly relates to an optical flow Raman sensing chip based on a SERS substrate and a preparation method thereof. The optical flow Raman sensing chip comprises a first PDMS layer, a silicon-based optical waveguide layer and a second PDMS layer, wherein the silicon-based optical waveguide layer is arranged on the top surface of the first PDMS layer, the silicon-based optical waveguide layer has a top surface and two side surfaces, the second PDMS layer is arranged on the top surface and the side surfaces of the silicon-based optical waveguide layer, the surface of the side surface of the second PDMS layer facing the silicon-based optical waveguide layer is provided with a near-coaxial cavity, and the arc-shaped inner wall of the near-coaxial cavity is provided with a reflecting film. The target object solution is specifically combined with the SERS composite layer through the microfluidic channel, the SERS composite layer loaded with the target object generates Raman laser under the excitation of pump light, and the Raman laser is output after enhancement under the synergistic effect of the arc-shaped inner wall and the reflecting film. The application significantly improves the collection efficiency of the Raman signal through the multi-dimensional coupling enhancement effect of the cavity structure.

The invention discloses a multi-dimensional slag detection device for oxygen pressure leaching of germanium-rich zinc concentrate, and relates to the technical field of intelligent sensors. Comprising a slag conveying part, a feeding port used for feeding slag is formed in the top of one side of the slag conveying part, a sampling port is formed in the bottom of one side of the slag conveying part, an empty cylinder is connected to the bottom of the sampling port, and a compaction part and a detection part are arranged on the two sides of the empty cylinder respectively; the detection part comprises a cavity frame arranged on one side of the empty cylinder and an intelligent sensing detection module arranged on the inner side of the cavity frame. Transverse conveying is carried out through the slag conveying part, sampling is carried out in the conveying process, cake pressing treatment is carried out after sampling, and then analysis is carried out through a confocal display imaging sensor, an X-ray synchronous excitation / receiving sensor and a laser Raman spectrum sensor of the intelligent sensing detection module. Therefore, the microscopic information about the composition and distribution of the key phase in the core solid product of the leaching residue and the occurrence state of the valuable metal can be directly obtained on line in situ.

This invention discloses a high-precision proportioning system and control method for dissolving and mixing silane mixtures, relating to the field of mixing equipment technology. The system includes a raw material storage module consisting of three stainless steel tanks for storing silane, diluent gas, and solvent respectively, with passivated inner walls and insulated outer walls; a precision metering module equipped with a plunger pump and a mass flow meter for real-time flow feedback; a dissolution and mixing module, a double-jacketed tank with atomizing nozzles and a double-layered oblique-blade counter-current stirring impeller; a temperature and pressure control module including a jacket temperature controller and a tank top pressure relief valve; a concentration monitoring module equipped with an online laser Raman spectrometer; a tail gas treatment module consisting of an adsorption tower and a catalytic burner; and a central control module using a PLC and touchscreen to achieve fully automated control of the entire process. All modules work together to prepare the mixed gas. This invention improves the proportioning accuracy and dissolution efficiency of the silane mixture, stabilizes concentration drift, and provides environmentally friendly tail gas treatment; it is adaptable to high-precision requirements in various scenarios, providing stable raw materials for downstream processes.

The application discloses a method for determining the hydrothermal activity age of a volcanic rock reservoir, and relates to the technical field of volcanic rock identification. The method comprises the following steps: obtaining a zircon sample target of the volcanic rock reservoir to be measured; performing laser Raman spectrum testing to obtain Raman spectrum data of the zircon sample target; processing the data to obtain the peak position and half-height width of the vibration peak v3SiO4 of the zircon sample target; fitting the half-height width and the position parameter of the wave peak center of the vibration peak v3SiO4 to determine the morphological characteristics and composition of the inclusion in the zircon; performing isotopic proportion and trace element composition analysis to determine the formation age of the zircon; and constructing a half-height width-time fitting curve to determine the formation period of the hydrothermal mineral coexisting with the zircon. The method can be used to divide the zircon period of the volcanic lava, and has a good determination on the zircon genesis, thereby providing an important identification basis for the late hydrothermal / tectonic action events and time of the volcanic rock reservoir.