Raindrop three-dimensional detection device and method for calculating raindrop volume through raindrop three-dimensional detection device

Abstract

The invention relates to a raindrop three-dimensional detection device and a method for calculating raindrop volume through the raindrop three-dimensional detection device, and belongs to the technical field of meteorological observation. The raindrop three-dimensional detection device comprises a first laser, a first beam shaping system, a lower-layer detection area, a first linear array photoelectric detector, a second laser, a second beam shaping system, a second linear array photoelectric detector, a third laser, a third beam shaping system, an upper-layer detection area and a third linear array photoelectric detector. The method for calculating the raindrop volume through the raindrop three-dimensional detection device comprises the steps that a raindrop is modeled to be in an ellipsoid shape or a steamed bun shape, and the approximate volume of the raindrop is obtained according to collected data. According to the raindrop three-dimensional detection device, a high-speed linear array scanning method in the three-dimensional direction is adopted, the raindrop dimension sampling accuracy and resolution ratio are improved, the recognition rate of tiny rainfall particles such as drizzles is increased, meanwhile, measurement, conducted by an existing optical rain gauge, of rainfall particle forms such as shapes and falling angles is improved, a more accurate mathematic model is established, and the error is small.

Description

technical field [0001] The invention relates to a raindrop three-dimensional scale detection device and a method for calculating the volume of raindrops by using the device, belonging to the technical field of meteorological observation. Background technique [0002] Traditional methods for measuring the diameter of raindrops include filter paper stain method, high-speed photography method, radar observation method, laser holography method, optical rain gauge method, flour ball method, etc. The workload is heavy, the labor intensity is high, and the automatic classification and statistical measurement work cannot be completed automatically. It is not suitable for analyzing a large amount of data to find laws. Traditional rain gauges include tipping bucket rain gauges, siphon rain gauges, weighing rain gauges, etc. Although the structure and principle are simple, they cannot obtain the particle size and falling speed of raindrops, and cannot accurately reflect the start and s...

AI Technical Summary

Problems solved by technology

The workload is heavy, the labor intensity is high, and the automatic classification and statistical measurement work cannot be completed automatically. It is not suitable for analyzing a large amount of data to find laws

Traditional rain gauges include tipping bucket rain gauges, siphon rain gauges, weighing rain gauges, etc. Although the structure and principle are simple, they cannot obtain the particle size and falling speed of raindrops, and cannot accurately reflect the start and stop time and time of rainfall. Obtain instant rainfall intensity information

[0003] Existing shielded optical rain gauges mostly use one-dimensional or two-dimensional detection in terms of product structure. The sampling area of ​​one-dimensional shielded optical rain gauges is small, and only the one-dimensional horizontal particle size of precipitation particles can be measured, and then according to the static wind state Under the assumption of vertical axis symmetry of the particles (small particles are assumed to be spheres, and when the particles are large, they are assumed to be horizontal prolate ellipsoids or lower flat round steamed buns, etc.) to establish a mathematical model for the conversion between the horizontal scale of precipitation particles and the particle volume, and calculate the precipitation particles The main problem of this method is that due to the one-dimensional scale detection and the small number of detector pixels, the amount of measur

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