8 results about "Raman lidar" patented technology

The invention provides a Raman-meter signal all-day laser radar ratio inversion method and device, and the method comprises the steps: carrying out the denoising of signal data of a Raman laser radar in a preset time period, and carrying out the inversion, and obtaining a first aerosol backscattering coefficient profile; applying a plurality of preset laser radar ratios to the inversion of the meter laser radar signal at the same moment to obtain a plurality of second aerosol backscattering coefficient profiles; taking the first aerosol backscattering coefficient profiles at the same moment as a reference standard, calculating a relative error average value of each second aerosol backscattering coefficient profile, and obtaining an optimal laser radar ratio corresponding to the minimum relative error average value; fitting the optimal laser radar ratio with the mean value of the aerosol depolarization ratio of the meter laser radar below the boundary layer height at the corresponding moment to obtain a relation curve; and substituting the mean value of the aerosol depolarization ratio at the current moment into the relation curve to obtain the laser radar ratio. According to the invention, the inversion precision of the aerosol laser radar ratio is improved.

This application provides a method for coarse and fine mode aerosol parameter inversion based on hyperspectral resolution lidar. The method simultaneously receives elastic scattering signals from the main channel and depolarization channel of aerosols, as well as molecular Rayleigh scattering signals, using a lidar system. Based on signal inversion, the total backscattering coefficient and total depolarization ratio of the aerosols are obtained. By clustering historical data, the characteristic depolarization ratios of coarse and fine modes are determined, along with the lidar ratio, to construct a multivariate hybrid model, achieving separation of the coarse and fine mode backscattering coefficients. The extinction coefficients of coarse and fine modes are calculated using the lidar ratio, and further integration yields the optical thickness of the coarse and fine modes. The coarse and fine mode aerosol parameter inversion method based on hyperspectral resolution lidar provided in this application does not require lidar ratio assumptions, possesses continuous all-day observation capability, and effectively overcomes the limitations of traditional passive remote sensing with day-night interruptions and the low signal-to-noise ratio of Raman lidar during the day.

The present application discloses a cloud condensation nucleus number concentration inversion method, equipment, medium and product, which relate to the field of atmospheric environment detection. The method includes obtaining particle parameters observed by a multi-wavelength polarization Raman lidar; the particle parameters include radar ratio, depolarization ratio and depolarization color ratio; determining the aerosol type according to the particle parameters; based on the aerosol type, extracting the extinction coefficient and backscattering coefficient of each aerosol; performing relative humidity correction on the extinction coefficient and backscattering coefficient to determine the corrected optical parameters; matching the corrected optical parameters with the optical parameters in an aerosol optical parameter database to determine the aerosol parameters; calculating the critical radius of each aerosol at different supersaturation ratios; for each aerosol, inverting the CCN number concentration at different supersaturation ratios according to the critical radius and the aerosol parameters. The present application can accurately invert the CCN number concentration at different supersaturation ratios.

The utility model relates to a kind of multi-wavelength Raman laser radar quality control system, including control device and with the emission light path modulation device, receiving light path modulation device and data acquisition device of control device connection, emission light path modulation device includes detection light path, front light splitting module, optical switch, emission monitoring module;Receiving light path modulation device includes four quadrant module, telescope, detection light source module for calibrating and calibrating detection center wavelength range sequentially arranged in telescope, pinhole diaphragm, collimation module, detection attenuation module, detection filter module, rear light splitting module, the CCD light source detection module being oppositely arranged with rear light splitting module, detector and multichannel spectral detection module;Data acquisition device is connected with detector.This system realizes full-link hardware state monitoring, guarantees emission, receiving system closed loop real-time calibration, without external standardization equipment, integration is high, reduces manual intervention frequency, reduces operation and maintenance complexity and investment cost.

This application provides a method for coarse and fine mode aerosol parameter inversion based on hyperspectral resolution lidar. The method simultaneously receives elastic scattering signals from the main channel and depolarization channel of aerosols, as well as molecular Rayleigh scattering signals, using a lidar system. Based on signal inversion, the total backscattering coefficient and total depolarization ratio of the aerosols are obtained. By clustering historical data, the characteristic depolarization ratios of coarse and fine modes are determined, along with the lidar ratio, to construct a multivariate hybrid model, achieving separation of the coarse and fine mode backscattering coefficients. The extinction coefficients of coarse and fine modes are calculated using the lidar ratio, and further integration yields the optical thickness of the coarse and fine modes. The coarse and fine mode aerosol parameter inversion method based on hyperspectral resolution lidar provided in this application does not require lidar ratio assumptions, possesses continuous all-day observation capability, and effectively overcomes the limitations of traditional passive remote sensing with day-night interruptions and the low signal-to-noise ratio of Raman lidar during the day.

The disclosed near-ground layer blind area-free water vapor and aerosol detection Raman laser radar system comprises a laser emission subsystem, a lateral telescope group receiving and light splitting subsystem, and a data acquisition and inversion subsystem; the laser emission subsystem can emit laser of specific wavelength and vertically emit to the atmosphere; the lateral telescope group receiving and light splitting subsystem is used for receiving and separating and extracting the lateral nitrogen vibration Raman echo signal with 2331cm ‑1 frequency shift and the water vapor vibration Raman echo signal with 3652cm ‑1 frequency shift relative to the laser emission spectrum; the data acquisition and inversion subsystem is used for recording the lateral Raman scattering echo signals of nitrogen and water vapor, and the data acquisition and inversion subsystem is connected with the lateral telescope group receiving and light splitting subsystem. The system realizes the detection of the water vapor content and the aerosol optical parameter of the near-ground layer atmosphere. The near-ground layer blind area-free water vapor and aerosol detection Raman laser radar method is also disclosed.

The invention relates to the technical field of radar detection, in particular to a Raman laser radar ozone three-dimensional real-time imaging method based on edge calculation, and the method can capture the influence of instantaneous temperature fluctuation on a signal through the independent deduction of the spectrum fidelity and the topological transformation potential energy, and can also capture the influence of the temperature fluctuation on the signal. The change of the continuous wind field to the air mass form can be accurately evaluated, and the contradiction of different physical processes on the space-time scale is solved; according to the method, the compression and turbulence intensity of the fluid is directly quantified by utilizing topological transformation potential energy, and sensing data is mapped into a standard three-dimensional GIS grid by utilizing a Lagrange trajectory backtracking algorithm and a Gaussian kernel function, so that blind areas among sensors are filled, each voxel data of the standard three-dimensional GIS grid is ensured to have a clear observation source, and the accuracy of measurement is improved. And the essential three-dimensional characteristics of the atmospheric environment are restored.

The invention discloses a water vapor Raman laser radar beam splitting system based on a photon sieve array. The system comprises an optical fiber, an L1 lens, the photon sieve array, a small hole and a CMOS imaging device which are sequentially arranged along an optical axis. The L1 lens is arranged on an emergent end light path of the optical fiber, and the emergent end face of the optical fiber coincides with the front focal plane of the L1 lens. The photon sieve array is arranged on an emergent light path of the L1 lens; the small hole is formed in the rear focal plane of the photon sieve array, and the center of the small hole coincides with the main focus of the photon sieve array on the optical axis; the CMOS imaging device is arranged on an emergent light path of the small hole. The invention further discloses a water vapor Raman laser radar light splitting method based on the photon sieve array. According to the water vapor Raman laser radar beam splitting system and method based on the photon sieve array, the problem that in the prior art, a water vapor Raman laser radar beam splitting system is complex in light path design is solved.