1077 results about "Scattered light" patented technology

The invention provides an intelligent optical cable performance prediction method and system for a data center, and relates to the technical field of data center performance analys.The intelligent optical cable performance prediction method comprises the steps that firstly, an optical cable microstructure disturbance quantization model is constructed, and an optical cable is divided into a plurality of virtual quantization units in the longitudinal direction; each unit packages a real-time stress-strain state parameter and a response sensitivity coefficient of the basic structure unit, inputting a Brillouin scattering spectrum frequency shift data flow collected in real time into the model for disturbance source analysis, generating a physical excitation decomposition sequence, driving a virtual quantization unit to perform state evolution iterative operation according to the physical excitation decomposition sequence, and obtaining a Brillouin scattering spectrum frequency shift data flow model; a stress-strain state evolution track set is obtained, a time-space correlation network of optical cable link disturbance propagation is constructed according to the stress-strain state evolution track set, network flow characteristic analysis is conducted on the time-space correlation network, an early warning node set is extracted, the future evolution trend of the early warning node set is calculated, and serialized optical cable performance abnormity early warning information is generated. The optical cable performance abnormity can be predicted in advance, and stable operation of the data center optical cable is guaranteed.

The invention relates to the technical field of wafer detection, in particular to a wafer defect detection method and device, and aims to detect wafer defects by adopting a polarization modulation and decomposition scheme according to corresponding characteristics of wafer surface scattered light and defect scattered light in a wafer defect detection process. The wafer detection method for improving the wafer defect detection accuracy is formed, and the wafer detection system for improving the wafer defect detection accuracy is formed according to the wafer detection method.

An optical frequency domain reflectometer with environmental disturbance resistance and large strain measurement capability belongs to the field of distributed optical fiber sensing and comprises an opposite sweep frequency light frequency modulation continuous wave signal generation module, a light splitting device, a modulation device, a circulator, a polarization controller, an optical coupling device, a photoelectric conversion module and a data acquisition and processing module. An optical signal generated by an opposite sweep frequency light frequency modulation continuous wave signal generation module is divided into probe light and local oscillation light through a light splitting device, the probe light is modulated through a modulation device and sent to an optical fiber through a circulator, and a Rayleigh back scattering light signal generated by the optical fiber and the local oscillation light interfere in an optical coupling device to obtain interference light; the photoelectric conversion module mixes beat frequency signals of interference light, and the data acquisition and processing module analyzes and processes the beat frequency signals. According to the invention, the position information of the Rayleigh backscattering point is marked by using the modulated probe light, the Rayleigh scattering signal at the corresponding position is restored, crosstalk between channels is inhibited, and high-precision measurement in a large dynamic range and resistant to environmental disturbance is realized.

The invention discloses an underwater image enhancement method and system based on binocular vision and polarization imaging. The method comprises the following steps: firstly, synchronously acquiring an orthogonal polarization image pair through a binocular polarization imaging unit, recovering scene depth information from the polarization image pair by using a binocular stereoscopic vision technology, and calculating a transmissivity graph; analyzing the polarization characteristic difference between target reflected light and backscattered light, establishing a polarization difference model, and separating background scattered light; solving an underwater imaging equation in combination with the depth information and a polarization difference model to obtain a preliminary restoration result of the target reflected light; and finally, further improving the image quality through the steps of multi-scale spectrum analysis, adaptive filter construction and post-processing by adopting a spectrum adaptive image enhancement technology. The system comprises a binocular polarization imaging unit, a calculation processing unit and an active illumination unit. According to the method, the problems of color distortion, low contrast and fuzzy details of the underwater image are solved, and the visual quality and usability of the underwater image are improved.

The invention belongs to the technical field of deep learning and image processing, and discloses an underwater image enhancement method based on tensor learnable prior. By designing learnable prior based on a Tensor Train kernel, explicit modeling of the underwater degradation law is realized. The four Tensor Train kernels correspond to the height, the width, the channel and the image block modality respectively, so that the system can simultaneously describe the vertical structure change, the horizontal scattering, the spectral absorption difference and the regional scale attenuation, thereby obviously enhancing the description capability for the underwater multimode degradation. The Tensor Train kernel is dynamically generated based on the kernel prediction sub-network, the prior structure of the method can be adaptively adjusted along with the input image, and the stability and generalization ability of the enhancement result are improved. According to the method, color shift is effectively corrected and scattering blur is inhibited while the structure edge is kept, so that the enhancement process is changed from traditional black box type mapping to physical consistency structured reasoning, and more natural colors, higher contrast and better detail recovery effects are obtained in a complex turbid environment.

The invention relates to the technical field of medical image information processing, discloses an ICG fluorescence image and MRCP three-dimensional model registration fusion display method and system, effectively solves the problems of deep biliary tract structure blurring and form distortion caused by liver tissue scattering effect in intraoperative fluorescence imaging, uses a preoperative model as anatomical prior, and improves the accuracy of the intraoperative fluorescence imaging. A viewpoint correlation optical path depth field is constructed through reverse ray tracing, a spatial variation point spread function is generated accordingly, physical reverse recovery of scattering halo in a fluorescence image is achieved, non-specific background noise such as vascular leakage is effectively inhibited in combination with topological gravitational constraint of a central skeleton, and the detection accuracy is improved. The real pipe diameter and the center line position of the deep bile duct are accurately recovered, non-rigid registration correction is performed on the three-dimensional model based on the recovered high-fidelity image, and projection errors caused by respiratory movement and soft tissue deformation are eliminated.

The invention discloses a vector flow velocity measuring device and method based on a bidirectional scanning spectral domain optical coherence tomography technology. Comprising a super light-emitting diode light source, an optical fiber coupler, a polarization controller, an interferometer comprising a sample arm and a reference arm, and a collimating lens, the collimating lens, the grating, the focusing lens group and the linear array camera are sequentially connected through a light path; the linear array camera, the computer and the two-dimensional galvanometer are sequentially connected through a line; according to the method, the fixed bias vector velocity is introduced by utilizing the bidirectional scanning technology, the dynamic light scattering optical coherence tomography method and the Doppler optical coherence tomography method are combined, decoupling of each parameter of the vector flow velocity is efficiently and accurately realized, and a quantitative index is provided for vector flow velocity analysis. The vector flow velocity measuring device based on the bidirectional scanning spectral domain optical coherence tomography technology is simple in system setting and low in cost, the time resolution is improved by about 2.5 times, and the measuring time is shorter.

The invention relates to a respiratory dust concentration online monitoring device and method for a coal mine, and belongs to the technical field of respiratory dust concentration monitoring. The device comprises a virtual impact separation module, a light scattering detection module, a flow control module and a data processing module. The virtual impact separation module is used for separating respirable dust and non-respirable dust; the respirable dust enters the light scattering detection module, the respirable dust is irradiated by a laser beam which is incident in the direction perpendicular to the flowing direction of the respirable dust, a scattered light signal obtained after dust scattering is transmitted to the data processing module, and the concentration of the respirable dust is calculated in real time; the flow control module is used for controlling the rotating speed of the sucking pump in real time. Through multi-technology fusion and intelligent algorithm compensation, the accuracy and environmental adaptability of respiratory dust concentration measurement are improved, the problems that a traditional separation device is prone to blockage and needs frequent maintenance are solved, and long-term continuous separation monitoring of respiratory dust can be achieved.

The invention belongs to the related technical field of laser processing quality detection, and discloses a laser processing real-time defect monitoring device based on scattered light detection, which comprises a scattered light detection module, a signal processing module and a display early warning module, the detection module is used for realizing a scattered light detection function of focusing, filtering and attenuating; the signal processing module carries out various processing and enhancement on the detection signal based on a coordinate attention mechanism so as to obtain a defect judgment result; and the display early warning module is used for displaying data such as defect judgment results and the like, and giving alarms of different levels according to the severity of the defects. The invention further discloses a corresponding monitoring method. According to the invention, real-time and accurate identification of surface layer and subsurface layer defects in the laser processing process can be realized, so that the method is suitable for providing a more efficient and reliable solution for laser processing quality control in the fields of semiconductors, optical elements, aerospace and the like.

An optical path testing device and an optical path testing method divide output light from a laser light source into a probe optical path and a local optical path and convert modulated light obtained by modulating input light of the probe optical path into probe light including pulsed light, generate a beat signal by causing signal light and input light of the local optical path to interfere with each other, acquire a signal indicating backscattered light in the optical fiber on the basis of the beat signal, and analyzes a loss distribution, generate the modulated light by performing, on the output light, modulation based on a frequency changing from a start frequency to an end frequency, generate an analysis signal by averaging the backscattered light in each different frequency band included in the beat signal between the different frequency bands and acquire the loss distribution.

The invention discloses an accessory traceability management system and method for a watch movement, and relates to the technical field of product traceability management, and the method comprises the following steps: building an accessory traceability reflection management file, carrying out the structural recording of management data and carved code appearance features related to traceability collection, and storing the recorded data in a database; and based on the management data, an anti-radio frequency flash feature table for tracing acquisition risk assessment is generated. According to the invention, by establishing an accessory traceability reflection management file and an anti-radio frequency flash characteristic table, correlation identification of light source parameters and metal surface characteristics is realized, reflection interference is pre-judged in advance, and the acquisition rhythm is optimized; by misjudging a trigger point set to reconstruct an illumination and exposure mode and combining a reverse exposure dark window and a scattered light shadow to suppress mirror reflection, imaging is stable, carved codes are clear, and traceability identification accuracy and reliability are improved.

The invention belongs to the technical field of communication, and provides a communication optical cable state real-time online monitoring method and system. Calculating the vibration displacement of the optical cable based on the original back scattering light signal, and calculating the real strain and temperature of the optical cable based on a Brillouin scattering signal and a Raman scattering signal obtained by separating the original back scattering light signal; carrying out filtering, denoising, normalization and time-space alignment processing on the vibration displacement of the optical cable, the real strain of the optical cable and the temperature, and binding the vibration displacement and the real strain with the obtained geographic coordinates; obtaining time domain, frequency domain and time-frequency domain features based on the preprocessed vibration displacement, real strain and temperature data to form a multi-dimensional feature vector, inputting the feature vector into a pre-trained event recognition model, and outputting an abnormal event classification result; and judging and triggering abnormal event early warning based on an output result of the event recognition model and a preset dynamic threshold.

The invention discloses a seepage monitoring method and system based on an optical fiber sensor, and relates to the technical field of slope seepage monitoring, and the method comprises the steps: distributing distributed optical fiber sensors along an inclinometer pipe in a slope; laying an optical fiber heating system; a distributed temperature sensor DTS is used for collecting scattered light signals of the distributed optical fiber sensor; the scattered light signals collected by the DTS are demodulated; acquiring strain data in the slope; performing temperature compensation on the obtained displacement data; according to the obtained distributed temperature data and the displacement data after temperature compensation, the position and range of seepage in the slope are determined; calculating the seepage rate and the seepage flow of the corresponding position through the seepage model and the heat conduction equation; and judging the seepage degree of the side slope. According to the invention, aiming at the low precision of slope seepage monitoring in the prior art, the distributed temperature sensor DTS is utilized to collect the temperature distribution data of the optical fiber along the way, and temperature compensation and the RBF neural network model are combined, so that the precision of judging the slope seepage is improved.

The invention provides an atmospheric environment particulate matter pollution detection method and device, and the method comprises the steps: carrying out the grading analysis of the scattered light intensity at each environment detection point in an environment pollution detection region, and obtaining the particle size distribution characteristics of air particulate matters at each environment detection point in a plurality of particle size intervals; determining a spatial distribution field of the particulate matter concentration in the air based on the particle size distribution characteristics; determining a dynamic correction factor of diffusion and aggregation of particulate matters in the air according to an atmospheric physical state, and further performing dynamic correction on the spatial distribution field based on the dynamic correction factor; performing spatial reconstruction on the spatial distribution field obtained by dynamic correction on a regular grid, and determining the distribution pattern of the air particulate matter concentration in the environmental pollution detection area according to a reconstruction result; and generating a particulate matter pollution index in the environmental pollution detection area according to the distribution pattern. By adopting the scheme of the invention, the reliability of atmospheric environment particulate matter pollution detection can be improved based on particulate matter concentration space reconstruction of multi-point dynamic correction.

The invention relates to the technical field of image enhancement, in particular to a turbid water fish image enhancement system based on image enhancement, which comprises an attenuation feature layering module used for acquiring a turbid water fish image, extracting a color attenuation value and a local contrast value of each pixel point, and outputting the color attenuation value and the local contrast value; and calculating the pixel attenuation degree influenced by the suspended matters in the water body and the background scattered light to obtain a pixel attenuation distribution diagram, and setting a plurality of attenuation thresholds. According to the method, a turbid image is divided into a plurality of layers such as a foreground, a middle scene and a background by calculating a color attenuation value and a local contrast ratio of each pixel influenced by suspended matters in a water body and scattered light, and then differential gain coefficients are applied to extracted initial details such as fish scale and fin textures according to the layers to carry out injection; high-fidelity enhancement of a key foreground target is realized, and excessive sharpening and noise amplification of a background area are avoided.

The invention relates to the technical field of water treatment, in particular to a PHG different-direction bridging reaction system for front-end pretreatment of wastewater, which comprises a reaction monitoring module, a data analysis module, a strategy execution module and an early warning treatment module. According to the system, parallel detection light is projected to a reaction area, scattered light and transmission light are received, and image acquisition is synchronously combined, so that multi-dimensional monitoring of floc micromorphology and macroscopic spatial distribution is realized. The data analysis module is used for carrying out primary abnormity judgment according to the visual characteristics of the floc, diagnosing an abnormity source in combination with scattered light, and distinguishing abnormal hydraulic stirring conditions or abnormal flocculant response. And the strategy execution module generates a differential control instruction according to the diagnosis result, adjusts stirring or dosing parameters, and evaluates the effect after adjustment. The system provided by the invention has the functions of automatic early warning and advanced self-treatment, realizes closed-loop intelligent regulation and control of the flocculation process, and improves the quality stability of effluent and the self-adaptive capability of the system.

The invention relates to a counting system for online detection of electronic special gas granularity. The counting system comprises an optical detection module, a gas path control module, a signal processing module, a man-machine interaction module and a data output module, the optical detection module is used for enabling particulate matters in the electronic special gas to be detected to generate scattered light signals and converting the light signals into electric pulse signals; the gas path control module is in fluid communication with the detection area of the optical detection module and is used for accurately controlling the flow, pressure and flow velocity of the electronic special gas to be detected flowing through the detection area and ensuring that the gas flow is in a laminar flow state; the signal processing module is electrically connected with the optical detection module and the gas path control module and is used for receiving and processing the electric pulse signals, and screening, counting and particle size conversion are carried out on the pulse signals through a preset algorithm so as to obtain the quantity and particle size distribution information of the particulate matters; and meanwhile, a control instruction is sent to the gas path control module.

The invention belongs to the technical field of distributed optical fiber sensing, and relates to a phase-frequency noise suppression optical frequency domain reflection measurement method and system without an auxiliary interferometer. The measurement method comprises the following steps: acquiring positive and negative double-sideband sweep-frequency light with the same sweep-frequency range and opposite sweep-frequency directions; dividing the positive and negative double-sideband sweep frequency light into double-sideband detection light and double-sideband local oscillation light according to a preset proportion; configuring a pseudo-random noise code, and modulating the pseudo-random noise code to the double-sideband probe light to obtain spread spectrum double-sideband probe light; the spread spectrum double-sideband detection light enters the sensing optical fiber and is reflected back to the backward Rayleigh scattering light, and the backward Rayleigh scattering light and the spread spectrum double-sideband local oscillation light interfere with each other to output up-down sweep frequency beat frequency signals; separating the upper and lower sweep-frequency beat-frequency signals to obtain an upper sweep-frequency beat-frequency signal and a lower sweep-frequency beat-frequency signal; and after the upper sweep frequency beat frequency signal and the lower sweep frequency beat frequency signal are respectively decoded, a beat frequency signal is separated through band-pass filtering, the beat frequency signal is subjected to frequency mixing processing to obtain a frequency mixing signal after phase frequency noise suppression, and the frequency spectrum of the frequency mixing signal is analyzed.

The invention discloses a nanoparticle scattered light confocal imaging device and method. The device comprises a laser unit, a first pinhole, a beam splitter turntable, a scanning focusing unit, an electric objective table, a first detection imaging unit, a second pinhole, a light splitting unit and a second detection imaging unit. The method does not need to mark nano particles, and can synchronously collect unmarked nano particles and fluorescence-labeled biomolecules; in-situ imaging can be realized, and the distribution position and content of nano-particles in living cells can be directly observed; the imaging resolution ratio is high, single nanoparticle imaging can be carried out, and fluorescence imaging can also be carried out at the biomolecule level.

The invention discloses an image enhancement processing method and system for an unmanned aerial vehicle monitoring video stream, and relates to the technical field of data processing, and the method comprises the steps: responding to a triggering instruction that an unmanned aerial vehicle enters a hovering verification state, extracting a current exposure line index, and resolving a target light beam projection angle corresponding to the current exposure line index, generating a scanning driving signal based on the linkage mapping relation of the two, performing line-by-line scanning exposure, and limiting the space coverage range of the physical projection light beam in a physical space slice corresponding to a pixel line which is currently in an exposure opening state, so that environmental near-field suspended particles outside the physical space slice are kept in a non-illumination state; and collecting the optical signal reflected by the physical space slice, and generating an enhanced video frame for suppressing near-field scattering interference. According to the application, the airborne linear light source and the exposure line are synchronously scanned, and the light beam coverage range is strictly limited in the physical space slice corresponding to the current exposure line, so that the near-field dust does not generate scattered light because the near-field dust is not illuminated.

The invention provides an eddy current detection micro-vibration signal transmission method and system based on optical fiber sensing. The method comprises the following steps: firstly, forming periodic pressure disturbance in a preset area; secondly, generating a micro-vibration signal based on periodic pressure disturbance; converting the micro-vibration signal into a backscattering light signal; phase demodulation is carried out on the backscattered light signal, and the phase variation is extracted, so that the phase variation corresponds to the dynamic change of the eddy current field; then, according to the incidence relation between the phase variation and the flight parameters of the unmanned aerial vehicle, the phase variation is coded into a digital eddy current characteristic sequence; and finally, transmitting the digital eddy current characteristic sequence to a far-end monitoring platform through an optical fiber communication link so as to complete transmission of the eddy current detection micro-vibration signal. According to the technical scheme provided by the invention, the pertinence and reliability of monitoring are improved, and high-sensitivity detection, accurate feature extraction and reliable remote transmission of micro-vibration signals of an eddy current field are also realized.

A detection device includes: a plurality of photodiodes arranged on a substrate; a front light including a light guide plate disposed so as to overlap the photodiodes, a light source configured to emit light to a first side surface of the light guide plate, and a plurality of scattering portions provided on the light guide plate and configured to scatter light from the light source; and an optical filter layer provided between the photodiodes and the light guide plate of the front light. The optical filter layer includes a plurality of light guide paths that at least partially overlap the photodiodes, and a light-blocking portion having higher absorbance of the light than the light guide paths. The scattering portions are provided in an area overlapping the light-blocking portion of the optical filter layer on a surface of the light guide plate facing the optical filter layer.

The invention discloses a monitoring system and method for determining an abnormal geologic body based on distributed optical fiber sound wave vibration, and relates to the technical field of distributed optical fiber sound wave detection.The monitoring system comprises a distributed optical fiber sensing unit, a signal excitation unit, a photoelectric demodulation unit, a signal processing and analyzing unit, a result recording and outputting unit and the like; the distributed optical fiber is used for continuously collecting stratum vibration response; the signal excitation unit applies controllable disturbance to a known reference position to induce a potential abnormal geologic body to generate an inactive excitation response signal; the photoelectric demodulation unit performs phase demodulation on backscattered light transmitted back by the optical fiber to form distributed vibration measurement data; and the signal processing and analyzing unit is used for filtering and denoising the data, establishing a quantitative mathematical model of a signal incident angle and signal intensity, solving an epicentral distance and an incident angle and calculating the spatial position of an abnormal geologic body by combining propagation attenuation correction and least square inversion, and is suitable for dangerous section identification and avoidance decision before mining and construction.

The invention discloses a high-turbidity measuring method, a high-turbidity measuring instrument, a medium and a program product, and relates to the field of testing or analyzing materials by means of measuring chemical or physical properties of the materials.In the method, the filtering transmission light intensity and the filtering scattered light intensity of a red light wave band and the filtering transmission light intensity and the filtering scattered light intensity of a white light wave band are collected; respectively determining a first group of weighting coefficients corresponding to the first turbidity range and a second group of weighting coefficients corresponding to the second turbidity range based on the corresponding relationship between the light intensity ratio and the turbidity value of the standard turbidity sample; calculating an initial turbidity value of the to-be-detected water sample based on the first group of weighting coefficients; judging whether the initial turbidity value is greater than a preset range threshold value or not; if yes, calculating a final turbidity value of the to-be-detected water sample based on a second group of weighting coefficients; if not, taking the initial turbidity value as the final turbidity value of the water sample to be detected; the final turbidity value of the water sample to be detected is displayed in the display screen. The method is used for improving the accuracy of testing the high-turbidity water sample.

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

The invention discloses a forestry seedling culture data acquisition and analysis system, which relates to the technical field of data processing, and is characterized in that backscattered light of a seedling lignified tissue is acquired, an initial speckle interference video stream is generated, and after spatial image stabilization registration is performed on the initial speckle interference video stream, the speckle interference video stream is output; the correction module is used for obtaining a speckle interference video stream, extracting pixel time sequence gray information of the speckle interference video stream, mapping the pixel time sequence gray information into a time history speckle pattern, calculating a texture statistical characteristic value of the time history speckle pattern and outputting the texture statistical characteristic value as a first cell chaos degree index, and the compensation module is used for obtaining a metabolic rate compensation coefficient through a correction model. Temperature correction is conducted on the first cell chaos degree index according to the metabolic rate compensation coefficient, a second cell chaos degree index is output, the deviation degree of the second cell chaos degree index of the to-be-detected nursery stock and the dead wood reference value is calculated, the dormant state of the nursery stock is judged according to the deviation degree, and instant and accurate regulation and control over key nodes of seedling warehouse-out and recovery are achieved.

The invention belongs to the technical field of X-ray imaging, and particularly relates to a grid structure and method for filtering scattered X-rays, the grid structure comprises a scintillator array and a grid partition plate arranged between scintillator units, and the grid partition plate is made of a high-density material. The core is that the grid ratio (H / L) of the grid is greater than or equal to 8: 1 and less than or equal to 20: 1, and the grid density is greater than or equal to 80 line pairs / cm and less than or equal to 150 line pairs / cm. Through the design of high grating ratio and high density, space filtering is carried out by utilizing a geometric channel, scattered X-rays in disordered directions are effectively blocked, and meanwhile, original rays are allowed to pass through. According to the method, energy filtering is indirectly realized, and low-energy scattering photons are preferentially absorbed. The method can significantly suppress image fog noise, improves image contrast and signal-to-noise ratio, and can be widely applied to various X-ray detection systems.

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

The invention provides a distributed optical fiber temperature measurement positioning calibration method and system based on a Raman effect, and relates to the technical field of optical fiber temperature measurement calibration, and the method comprises the steps: obtaining a Raman scattering light signal, and extracting temperature distribution; performing expansion causal convolution and linear activation to obtain an optical fiber starting point coordinate prediction value; constructing a graph topological structure, and constructing a self-adaptive adjacent matrix based on a temperature gradient for feature extraction; lifting wavelet decomposition and self-adaptive denoising are carried out on the topological features of the graph, and registration calibration is carried out after a temperature field is reconstructed.

The invention belongs to the technical field of atmosphere detection remote sensing, and discloses an atmosphere multi-element integrated multi-wavelength coherent differential absorption laser radar system. Lambda on1 wavelength laser generated by the first frequency stabilization seed laser, lambda on2 wavelength laser generated by the second frequency stabilization seed laser and lambda off wavelength laser generated by the third frequency stabilization seed laser are transmitted to the switching module for time domain modulation to obtain an output signal, and the output signal is decomposed into local oscillation light and a main signal by the first coupler. A main signal is modulated by the pulse modulator, amplified by the amplification module and then transmitted to the optical transceiver module, backward scattered light scattered by the atmosphere is transmitted to the second coupler and is subjected to coherent coupling and equalization with local oscillation light, and coherent electric signals are transmitted to the data analysis module through the balance detector to be analyzed. The water vapor concentration, the wind speed and the atmospheric temperature in the propagation path are obtained. Through the coherent detection technology, the signal-to-noise ratio of signals is remarkably improved, and high-precision atmospheric humidity and wind field detection is achieved.