4 results about "Raman lidar" patented technology

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 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 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.