444 results about "Spectroscopic detection" patented technology

The invention discloses a multispectral pollution analysis method and system for a photovoltaic cleaning unmanned aerial vehicle, and belongs to the technical field of spectrum detection.The multispectral pollution analysis method comprises the steps that a multispectral image is obtained, dark current-radiation-atmosphere-shadow full-link preprocessing is carried out, multiband weighted threshold segmentation and morphological post-processing are constructed, and a pollution area is extracted; establishing a self-learning pollution spectral feature library, and identifying pollution types by using cosine similarity; generating a pollution degree distribution diagram in combination with the pollution type-efficiency attenuation mapping table; and when the overall efficiency loss exceeds a preset value, planning a three-dimensional track based on a cluster priority score and an ant colony-genetic fusion algorithm, and returning an image to perform closed-loop verification and complementary cleaning after the unmanned aerial vehicle performs cleaning. According to the invention, the pollution identification precision, the efficiency evaluation accuracy and the cleaning intelligence level are significantly improved, and the method can be widely applied to unattended operation and maintenance of the photovoltaic power station.

The invention provides an optical image and LIBS detection area registration method and device, a medium and a program product, and the method comprises the steps: collecting an optical image, three-dimensional shape data and spectrum detection data of a to-be-detected sample, and building a sample space coordinate system based on the optical image and the three-dimensional shape data, the spectrum detection data is collected from a preset spectrum detection area on the surface of the to-be-detected sample; establishing a mapping relation between optical image pixel coordinates and LIBS laser focus coordinates in the sample space coordinate system; extracting image features of the optical image and spectral features of the spectral detection data, and fusing and updating the mapping relation based on the image features and the spectral features to obtain a registration result of the optical image and the spectral detection area; and performing superposition display on the optical image and the spectrum detection result aligned based on the registration result in a visual interface. According to the method, the influence caused by mechanical positioning errors, manual calibration deviations and sample morphology differences is effectively reduced, and the registration precision and robustness are improved.

The invention provides a polarization modulation coupling time control phase locking high-temperature noise suppression in-situ Raman method and device, and relates to the technical field of spectrum detection. The method comprises the following steps: exciting pulse linear polarization laser to irradiate a sample to obtain Raman scattering light; a parallel vibration component (P) and a vertical vibration component (S) are obtained, and original spectral data containing polarization information and residual high-temperature noise are collected by adopting an ISCCD detector synchronously triggered by gating. Background noise is removed and a parallel vibration component (P) is extracted through polarization differential processing in combination with adaptive filtering (dynamically adjusting parameters according to signal distribution) and principal component analysis (PCA); and finally, performing signal-to-noise ratio optimization on the pure component by applying a phase locking algorithm to finally obtain a Raman spectrum result with a high signal-to-noise ratio. According to the invention, the in-situ Raman spectrum of the material within the temperature range of room temperature to 3000 DEG C can be measured, and the detection of weak signals is more sensitive.

The invention relates to the technical field of spectrum detection, in particular to a Raman spectrum-based rice oil detection method, which comprises the following steps: extracting main and auxiliary peaks to construct a peak group structure, performing sliding comparison to output a conformity region, identifying jump to remove an abnormal signal, calibrating a peak position to generate a correction structure, and performing homing numbering to complete a detection scheme. According to the method, the feature matching rule is constructed by combining the peak position spacing, the intensity ratio and the wavenumber index, the recognition precision of the multi-peak structure in the spectrum is enhanced, non-continuous response signals are recognized and eliminated through derivative change trend and proportion deviation constraint, and the accuracy of stable response extraction is improved. Dynamic calibration and position adjustment of peak positions are realized by utilizing an offset trend sequence, the consistency of a peak group structure in an overall direction and the continuity of a local structure are ensured, a numbering system and structure attribution division is completed after homing sorting, and the integrity of feature expression in a complex sample and the orderliness and reliability of spectral data processing are improved.

The invention relates to the technical field of spectrum detection, and discloses a quality control method for traditional Chinese medicine capsules, which comprises the following steps: continuously scanning by using a micro light spot probe during capsule movement to obtain a spatial spectrum response sequence; performing adjacent micro-area differential operation on the sequence, and filtering a shell background and retaining a particle scattering signal by utilizing a microstructure difference between a capsule shell continuous film and a powder content discrete accumulation; according to the method, a traditional path of a shell standard model is established, through a spatial frequency domain decoupling mechanism, reference errors caused by batch drifting of shell physical attributes are avoided, and the detection sensitivity of trace component fluctuation and foreign matter mixing is improved.

The invention discloses a visible light hyperspectral measurement method based on multispectral sensing, and belongs to the technical field of spectrum detection. According to the method, visible light eight-channel data is collected through a multispectral sensor, after optical crosstalk correction and filtering preprocessing, key principal components are reserved through PCA dimension reduction, a multispectral and hyperspectral mapping model is constructed through an SVR algorithm, and finally the hyperspectral reflectivity is reconstructed through PCA inverse transformation. The problems that traditional hyperspectral equipment is high in cost and poor in portability are solved, low-cost and high-precision visible light hyperspectral measurement is achieved, and the device and the method can be widely applied to food freshness detection, agricultural product quality evaluation and other scenes.

The invention relates to the field of cavity ring-down, in particular to a cavity ring-down spectrum detection system and method, and the system comprises a detection unit, a gas path system, a constant temperature control unit and a control and processing unit. The gas path system can be used for filling inert protective gas into the ring-down cavity and maintaining a micro-positive pressure state in a non-measurement period of the detection system, so that external pollutants and water vapor are effectively prevented from invading, and lens pollution and internal adsorption are reduced; the constant-temperature control unit is used for carrying out overall temperature control on the ring-down cavity and the gas path system and inhibiting signal drift caused by water molecule adsorption / desorption; and the gas path system adopts a low-adsorption material, a dead-cavity-free structure and a low-leakage sealing joint, so that the memory effect and the leakage risk are further reduced. The invention also provides a corresponding detection method which comprises the steps of micro-positive pressure maintenance, constant temperature control, strong purification, sample measurement and the like. According to the system and the method, the measurement precision and the stability are remarkably improved, the maintenance frequency and the startup purging time are reduced, and the maintenance requirement is reduced.

The invention discloses a transformer substation insulator pollution positioning method, device and system fusing a multispectral image and a laser radar point cloud, and belongs to the technical field of power equipment multispectral detection and intelligent operation and maintenance. The method comprises the steps that a multispectral imaging device and a laser radar device are arranged in a measurement area facing the outdoor insulator of the extra-high voltage transformer substation, and the laser radar device is controlled to collect three-dimensional point clouds of the insulator and a surrounding structure of the insulator, controlling the multispectral imaging device to acquire multispectral images of the outer insulation surface of the insulator under a plurality of working wavebands; performing spatial registration on the three-dimensional point cloud and the multispectral image based on a calibration plate and geometric constraints, and mapping multispectral spectral information to point cloud sampling points; by introducing a multispectral three-dimensional point cloud and a virtual cleaning operator and combining multi-view joint optimization under an umbrella skirt structure parameter model, the problem that pollution assessment is unstable and not fine due to a single-view image or a simple intensity threshold value in the prior art is solved; and a reliable quantitative basis is provided for substation insulator electrical risk assessment and intelligent operation and maintenance decision.

A spectrometer for detecting a trace element in an agricultural product and use thereof is provided. The spectrometer includes: a light source device configured to generate light required by spectroscopic detection; a convergence device configured to converge the light generated by the light source device; a chopping device configured to modulate a frequency of light converged by a convergence device; a filter device configured to shield light of a wavelength other than a preset wavelength; a detection device configured to receive light passing through a to-be-detected agricultural product and the filter device, and convert an optical signal into an electrical signal; and a processing device configured to generate spectroscopic analysis data according to the electrical signal outputted by the detection device and output a substance content analysis result according to the spectroscopic analysis data, where the preset wavelength of the filter device ranges from 400 nm to 5,000 nm.

One mode of a chromatograph mass spectrometer according to the present invention includes: a measurement unit (1) that includes a chromatograph unit (1A) and a mass spectrometry unit (1B) capable of performing MS / MS analysis, and collects chromatograph mass spectrometry data having three dimensions of time, m / z, and a signal intensity by repeatedly performing the MS / MS analysis by data independent analysis in the mass spectrometry unit on a sample containing a compound separated by the chromatograph unit; a component detection unit (42) that detects a compound and a component corresponding to a partial structure of the compound by obtaining MS / MS spectra of a bar graph presentation based on chromatograph mass spectrometry data over a predetermined m / z range for a target sample, estimating precursor ion peaks in each of the MS / MS spectra, and selecting peaks based on a predetermined standard regarding an m / z direction in each of the MS / MS spectra and a predetermined standard regarding a time direction for peaks that can be considered to be identical or an identical group on the MS / MS spectra; a narrowing unit (43, 44) that narrows down components to be analyzed by performing screening using prior information on the detected component; and a composition estimation unit (45) that, by using m / z information corresponding to a narrowed down component, estimate a composition or a chemical formula of the component.

The invention relates to the technical field of industrial cleaning, and discloses a surface residue cleaning system in an anode carbon block conveying process, which comprises a residue detection module, a cleaning execution module, an intelligent control module, an effect verification module, a safety protection module, a data management module, a self-calibration module, an energy consumption optimization module and a man-machine interaction module. Capturing residue distribution on the surface of the carbon block in real time through a multispectral scanning unit, and outputting a cleaning signal through a residue recognition algorithm; the mechanical cleaning unit and the airflow cleaning unit cooperatively execute precise slag removal; the intelligent control module adaptively adjusts cleaning parameters based on the speed of the conveying line; the surface sampling unit verifies the cleanliness through spectrum detection; the dust monitoring unit performs linkage safety protection when PM10 exceeds 8mg / m; and the data management module integrates the running log and remote report generation. Accuracy and reliability of residue identification are guaranteed, cleaning efficiency is improved, the risk that the surface of the carbon block is scratched is reduced, and production quality and operation safety are comprehensively improved.

The invention relates to a fire area inversion method based on airborne dual-spectrum detection and depth estimation, and belongs to the field of unmanned aerial vehicle detection. The method comprises the following steps: acquiring a multi-dimensional data set of a dual-spectrum image, a temperature image, an unmanned aerial vehicle attitude and the like; constructing a multi-modal space collaborative perception segmentation network, combining temperature change characteristics with temperature space distribution characteristics of flames to generate temperature region distribution characteristics, and coupling absolute temperature and pixel information to enhance flame weak edge extraction; designing a temperature-guided space structure loss function TSSLoss, and combining gradient change consistency constraint and temperature weight constraint on a segmentation loss function for network training; and according to the unmanned aerial vehicle pose, the target depth and the fire area segmentation pixel area, an early fire area is derived in combination with an airspace transmission inversion formula, and an actual fire area is calculated. According to the method, multi-source information is effectively combined for physical constraint, and more accurate fire detection segmentation and fire area calculation can be realized.

The invention discloses an automobile part defect detection method based on multispectrum, and relates to the technical field of spectrum detection. According to the method, an optimal wave band is screened from a data source through spectral response discrimination, and the spectral texture difference between scratches and normal textures is enhanced; normal texture and suspected scratch areas are accurately divided through density clustering, a target area is focused, irrelevant data interference is reduced, and it is ensured that double-feature extraction is higher in pertinence. Further synchronously extracting texture gray level change features and 3D surface height depression features of the suspected area, and capturing dual attributes of two-dimensional texture anomaly and three-dimensional physical form depression of the scratch; and finally, through deviation calculation and relevance verification with a normal region reference feature, the abnormal degree of the double features is quantified, two types of abnormalities are ensured to correspond to the same physical region through spatial relevance, pseudo defects are eliminated, and the problem that scratches are difficult to identify based on texture gray level change and surface height depression in the prior art is solved.

The invention relates to the technical field of image classification, in particular to a geographic surveying and mapping image classification processing system and method based on big data, and the system comprises a regional feature module, a fluctuation analysis module, a spectrum anomaly module, an edge adjustment module and a classification correction module. According to the method, the gray brightness and the multi-band reflectivity are extracted through region division, variance contrast and spectral stability analysis are combined, dimensionality reduction and redundancy reduction are performed through principal component analysis, key features are reserved, constraint intensity is counted and tested through cooperation of interval division and fluctuation frequency extraction, potential anomalies are recognized in advance, and noise interference is reduced. Reflectivity difference and spectrum extreme value detection are combined to capture abnormal changes through a stability threshold value, gradient direction deviation and an edge closing proportion monitor boundary continuity and are complementary with spectrum detection, the polymerization degree and the sparse ratio are calculated, the priority is dynamically corrected, deviation caused by a single feature is avoided, and the classification result is more accurate and stable.

The invention provides a numerical control machining tool wear multispectral imaging detection method and system. The method comprises the steps that a three-dimensional data cube is constructed through a multispectral image sequence of a tool machining area; defining a spectrum detection window of each pixel point in the three-dimensional data cube, dividing the spectrum detection window into a main detection sub-block and auxiliary detection sub-blocks, and generating a spectrum difference feature map based on a difference relationship between a spectrum curve of each pixel in the main detection sub-block and an average spectrum curve of all the auxiliary detection sub-blocks; determining a projection vector according to a target spectral feature in the center detection sub-block and a background spectral feature in the local detection window; and determining a spectral feature map according to the projection vector and the three-dimensional data cube, and recognizing an abnormal wear area in the tool machining area according to a multidirectional gradient feature map constructed by a spatial gradient operator corresponding to each pixel in the spectral feature map and a spectral difference feature map. According to the technical scheme provided by the invention, the subtle difference between the wear region and the background region can be distinguished in a multi-dimensional interference state.

The utility model discloses a spectrum detection probe and a spectrograph, relates to spectrum detection analysis technical field, said spectrum detection probe includes the shell, wherein the shell is provided with light transmission port, and the shell is internally provided with incident light channel and receiving light channel, said spectrum detection probe also includes incident light subassembly and receiving light subassembly, the incident light subassembly is provided with light transmission port, and the receiving light subassembly is provided with light transmission port and receiving light channel. The incident light assembly is arranged in the incident light channel, the receiving light assembly is arranged in the receiving light channel, and the incident light channel and the receiving light channel are both communicated with the light transmitting opening. The incident light can pass through the light transmitting opening from the incident light assembly, the detection light can enter the light receiving assembly through the light transmitting opening, and an included angle exists between the light propagation direction of the incident light channel and the light propagation direction of the light receiving channel. The spectrum detection probe and the spectrograph provided by the utility model are used for measuring spectrum information of deposits, and have the advantage of high utilization rate of optical signals.

The invention relates to the technical field of crack detection, in particular to a porcelain insulator micro-crack infrared spectrum detection method and device capable of accurately sounding, and the method comprises the following steps: obtaining a temperature change rate sequence, screening a stable interval, establishing a thermal radiation synchronous identifier, generating a time index set, carrying out energy registration mapping based on the index set to form a registration structure body, and carrying out infrared spectrum detection on the registration structure body; analyzing the energy gradient to identify the crack boundary to generate a three-dimensional coordinate set, and reconstructing voxel to analyze the crack morphology to generate a three-dimensional mapping set. According to the method, a crack voxel structure in a three-dimensional space is constructed by constructing an infrared acquisition time index, screening a radiation state stable section, combining multi-channel energy peak-valley comparison and space coordinate mapping and by means of an energy gradient distribution analysis and space clustering recognition mechanism; the synchronous and accurate acquisition of key characteristics such as crack position, shape, direction and depth is realized, and the comprehensive capability of spatial positioning, depth identification and crack penetration trend discrimination of the porcelain insulator microcrack is obviously improved.

The invention discloses a laser telemetering two-dimensional scanning imaging device and a method thereof, and relates to the field of gas spectrum detection. Through two-dimensional intermittent scanning, concentration field measurement of a scene is realized, and rapid leakage diagnosis and evaluation and rapid positioning of a leakage point can be realized. In the concentration measurement process, laser spots are static, motion noise cannot be introduced, and the concentration measurement accuracy is improved; intermittent movement of light spots is achieved through optical modulation, a complex intermittent movement mechanism is not needed, the cost is more economical, and the service life is longer; in the two-dimensional scanning process, a mechanical scanning device does not need to be started and stopped frequently, time consumption caused by the acceleration and deceleration process of motion is reduced, the frame rate of system scanning is improved, and rapid scanning of the high-dynamic gas cloud is achieved.

The invention belongs to the field of tobacco products, and relates to a method for evaluating the quality stability of ink for cigarette paper, which comprises the following steps: respectively mixing reference ink and ink to be detected with first and second organic solvents, separating out first and second liquids with the maximum layer thickness, concentrating or drying, and dissolving to obtain a first concentrated solution / solution and a second concentrated solution / solution; performing infrared spectrum detection on the first concentrated solution / solution, and performing matching degree calculation on all waveforms of a spectrogram; comparing the spectrogram with a standard spectrogram to determine main resin types; detecting the second concentrated solution / solution by gel permeation chromatography, calculating the number-average molecular weight of main resin by an external standard method according to a chromatogram, and then calculating the deviation ratio of the number-average molecular weight of the main resin of the to-be-detected ink and the reference ink; and calculating the comprehensive score according to the formula that the comprehensive score = w1 * all waveform matching degrees of the infrared spectrogram + w2 * (1-main resin number-average molecular weight deviation ratio). The method provided by the invention can rapidly and accurately evaluate the quality stability of the printing ink for the cigarette paper.

The invention relates to a dual-core heterogeneous CMOS drive circuit of a micro spectrometer in the technical field of spectrum detection and integrated circuit design, which comprises a dual-core heterogeneous main control chip, a drive chip, an AD acquisition chip, a built-in algorithm module and a data interface module, and is characterized in that the dual-core heterogeneous main control chip comprises an ARM core and an FPGA core; the ARM core converts an instruction sent by main control equipment into a standardized control signal, the FPGA core receives the control signal output by the ARM core and generates a driving time sequence signal, and the driving chip drives the CMOS sensor to output a video signal; the AD acquisition chip is driven to carry out data acquisition on video signals, original analog signals in the video signals are converted into digital signals to obtain original data of a spectrum, the ARM core packages the original data and transmits the original data to the built-in algorithm module, and a detection result report is generated. And the ARM core transmits the original data and the detection result report back to the main control equipment through the data interface module.

The utility model relates to the field of pipeline project quality detection, in particular to a pipeline project quality detection device which comprises a support, a spectrum module and a fog-penetrating lens which are arranged on a frame, and a self-cleaning module is arranged on the frame. The multispectral detection is more accurate and reliable than a single means, a scientific basis is provided for maintenance and management, the fog-penetrating lens can penetrate fog and dust to obtain a clear image and avoid blind area misjudgment caused by environmental interference, the industrial high-definition camera is matched with the fog-penetrating lens and the industrial high-definition camera to form a multidimensional detection system and provide rich and visual data, and the permanent magnet synchronous motor II drives the support to drive the support. The detection angle can be flexibly adjusted, the inner wall of the pipeline can be covered in all directions, the problem of omission caused by angle limitation is avoided, and the detection comprehensiveness and efficiency are improved.

The invention relates to the technical field of detection devices, and discloses a non-spectral detection device and a carbon dioxide extraction sampling detection method.The non-spectral detection device comprises a base pipe and a detector fixed to the base pipe, an air pump assembly is fixed to the top of the detector, and an air inlet pipe is installed at the input end of the air pump assembly; one end of the gas inlet pipe penetrates through the base pipe and extends into the base pipe, a probe is installed at the end, located in the base pipe, of the gas inlet pipe, and the gas pump assembly is used for conveying gas in the base pipe into a detector. By arranging the air pump assembly, air can be pumped into the paper detector, by arranging the waste heat assembly, the air can be preheated, the situation that the air is condensed in a pipeline to cause blockage is avoided, by arranging the water absorption assembly, moisture in the air is absorbed by a moisture absorber, and the water absorption efficiency is improved. The detector can be prevented from being corroded by acidic substances formed after water vapor is doped with gas, the detection effect is guaranteed through the pre-treatment mode of preheating and water absorption, and the service life of equipment is prolonged.

The invention relates to the technical field of environmental monitoring, and discloses a water quality monitoring device and method adapted to various environments, the device comprises an optical measurement unit, the optical measurement unit comprises a light source, a water sample flow cell and a spectrum detector, and two sides of the water sample flow cell are provided with at least one group of movable light windows and photoelectric positioning plates; the mechanical adjusting unit comprises a driving motor, a lead screw transmission mechanism driven by the driving motor, a light window support connected with the lead screw transmission mechanism and a position sensing module used for detecting the position of the movable support. The lead screw transmission mechanism comprises a lead screw and a movable sliding block arranged on the lead screw in a sleeving mode, and the movable sliding block is fixedly connected with the light window support. By automatically switching the optical path, the instrument can accurately measure low-concentration surface water and can also measure high-concentration sewage, so that the measuring range of single equipment is effectively expanded, and the accuracy of measured data in the whole measuring range is ensured.

The application discloses a kind of detection device and method of copper alloy melt purity under vacuum environment, belong to copper alloy purity detection technical field.Detection device includes vacuum smelting cavity module, laser-induced breakdown spectroscopy detection module, temperature monitoring module, central data processing and control module and man-machine interactive display module.Detection method includes system initialization, laser-induced breakdown spectroscopy multi-pulse acquisition, spectrum adaptive baseline compensation, inclusion distribution uniformity quantification and purity comprehensive evaluation.Through segmented polynomial iterative threshold truncation algorithm, adaptive eliminate blackbody radiation and plasma continuous radiation superposition in vacuum high-temperature environment and form complex nonlinear baseline drift;Inclusion distribution uniformity index and concentration purity sub-index are weighted and fused, realize the comprehensive quantitative characterization of melt purity concentration dimension and uniformity dimension, and realize the real-time online quality determination of refining process by comparing with qualified threshold.

The invention relates to the technical field of gold piece recovery devices, in particular to a gold piece recovery method which is implemented through a gold piece recovery device, and the gold piece recovery device comprises a placement opening, a spectrum detection device, a weighing device and a control device; the gold piece recycling method comprises the following steps that needed operation information is input, specifically, the needed operation information is input into the control device, and the needed operation information comprises information for selecting only gold content detection and information for selecting gold recycling; a step of placing a treated object, specifically, enabling the treated object to pass through a placing opening to enter the gold piece recovery device; and detecting the processed object, specifically, conveying the processed object to a spectrum detection device, performing spectrum detection on the processed object to obtain gold content information of the processed object, and conveying the processed object to a weighing device for weighing to obtain weight information of the processed object. The gold piece recycling device can achieve automatic recycling of gold pieces.

The invention relates to the technical field of Raman spectrum detection, and discloses an automatic spectrum detection system for food grease, which comprises a detection box, a laser, an optical fiber module, a driving motor, a sample turntable, a heating piece and a lifting structure, the detection box comprises a detection cavity, the driving motor is rotatably connected with the sample turntable, the sample turntable is provided with a plurality of circumferentially spaced placement grooves, and the placement grooves are provided with light passing openings towards the center side; the heating element is cylindrical, the heating wire is buried in the side wall, the inner wall and the bottom surface of the placing groove form a sample groove, the heating element slides up and down along the placing groove through the lifting structure, and the bottom wall descends below the light passing opening when the heating element rotates to the position between the laser and the optical fiber module. The system can heat a plurality of grease samples at the same time, time is saved, heat loss is little, temperature rise is balanced, and spectrum detection is not hindered.

1. The name of the design product: high-precision transient absorption spectrum detection device. 2. The use of the design product: for ultrafast time-resolved spectral detection, analyzing the transient absorption characteristics of materials after light excitation, suitable for kinetic studies in the fields of chemistry, materials science, biomedicine, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The present invention provides a system for analyte spectral collection and a system for testing an analyte, and the system for analyte spectral collection, which relate to the field of optical analysis. The system for analyte spectral collection includes a shell and an imaging 5 spectrum detection apparatus. The apparatus obtains a light signal in an imaging area, and includes a sensor and a periodic pixel-level light filtering structure, disposed on a surface of the sensor. The filtering structure performs spectral modulation on an incoming light signal, and the sensor generates an image containing spectral information to be tested. In this application, the periodic pixel-level light filtering structure disposed on the surface of the 10 sensor performs spectral modulation on the incoming light signal, SO that the sensor generates an image containing spectral information to be tested, helping analyte spectral collection be performed more simply. 29 20 25 20 46 55 20 J un 2 02 5 A B S T R A C T 2 0 2 5 2 0 4 6 5 5 2 0 J u n 2 0 2 5 2 9 A B S T R A C T 2 0 2 5 2 0 4 6 5 5 2 0 J u n 2 0 2 5 2 9 FIG. 1 1 / 7 202 206 205 203 200 201 204 100 FIG. 1 1 / 7 20 25 20 46 55 20 J un 2 02 5 J u n 2 0 2 5 2 0 6 2 0 2 5 2 0 4 6 5 5 2 0 2 0 0 2 0 1 I D O O S 2 0 0 0 0 2 0 4 1 0 0 J u n 2 0 2 5 2 0 6 2 0 2 5 2 0 4 6 5 5 2 0 2 0 0 2 0 1 I D O O S 2 0 0 0 0 2 0 4 1 0 0

This invention relates to a coal and rock identification system and method based on spectral detection, comprising a collection chamber and a detection device. The detection device includes a detection chamber, a detection tube, a spectral detection mechanism, and a first suction mechanism. One end of the detection tube is connected to or disconnected from the collection chamber, and the other end extends into the detection chamber. During detection, the collection chamber is first disconnected from the detection tube, and the first suction mechanism suctions the detection chamber to create a pressure difference, resulting in a lower air pressure in the detection chamber than in the collection chamber. After suction, the detection tube is reconnected to the collection chamber, and dust particles in the collection chamber form a particle flow within the detection tube under the pressure difference. The spectral detection mechanism detects the particle flow within the detection tube. This invention utilizes static pressure difference to achieve rapid and stable dust settling to form a particle flow, improving the stability of spectral detection and accelerating the overall detection speed, enabling real-time and accurate identification of coal and rock during coal mining.

The invention relates to an ultraviolet analyzer for detecting sports diet finished products, which is characterized in that a lower liquid level table and an upper liquid level table are arranged on a base unit, and a to-be-detected fluid sample forms a liquid bridge between the lower liquid level table and the upper liquid level table; the surface energy anchoring structure is used for forcibly limiting a solid-liquid contact line of a to-be-detected fluid sample in a preset optical path light passing area; the liquid bridge impedance feedback loop is used for forming a closed loop through a liquid bridge in the liquid bridge stretching process so as to monitor the equivalent complex impedance value of the liquid bridge in real time; in the process that the driving unit drives the lifting detection head to stretch the liquid bridge, the stretching speed of the driving unit is adjusted in real time according to the complex impedance change rate fed back by the impedance analysis module; and the optical fiber spectrum detection unit is triggered to carry out spectrum acquisition at a plurality of different stretching heights when the liquid bridge maintains a continuous state. According to the invention, high-precision detection can be realized without physical dilution, and continuous spectrum data under a group of optical program columns can be obtained through single sample loading.