Atmospheric optical key parameter comprehensive detection system and method based on unmanned aerial vehicle technology

Abstract

The invention discloses an atmospheric optical key parameter comprehensive detection system based on an unmanned aerial vehicle technology, and the system comprises an unmanned aerial vehicle control system which is used for controlling the flight of an unmanned aerial vehicle in real time; a meteorological parameter detection module which comprises a temperature sensor, a humidity sensor and an air pressure sensor and can measure the temperature, the air pressure, the humidity, the wind speed and the wind direction of the near-earth atmosphere at different heights; an aerosol particle size spectrum detection module which comprises an optical aerosol particle size instrument and an atmospheric measurement sensor, wherein the optical aerosol particle size instrument can obtain particle size spectrum distribution of particles in the atmosphere and the atmospheric measurement sensor provides comparison data for measurement of a refractive index structure constant and particle size spectrum analysis of particulate matters; an atmospheric turbulence detection module which comprises a micro-temperature sensor for acquiring temperature variation and a conversion plate for converting the temperature variation into a refractive index structure constant; and a data processing system used for analyzing, storing and displaying the received data.

Description

technical field [0001] The invention relates to the field of meteorological detection, in particular to a comprehensive detection system and method for atmospheric optical key parameters based on unmanned aerial vehicle technology. Background technique [0002] Usually, the turbulence caused by the change of atmospheric refractive index caused by temperature fluctuation is called optical turbulence. The intensity of turbulence is mostly measured by the structural constant of atmospheric refractive index. Environmental parameters such as pollutant concentrations and weather systems are closely related. In the diffusion, transmission, and migration of urban air pollutants, which are complex multi-scale processes, there is an obvious relationship between the concentration of pollutants and boundary layer wind, turbulence, etc. Analyze the temperature and humidity structure and turbulence characteristics of the near-surface layer, and discuss their evolution The role in the pro...

AI Technical Summary

Problems solved by technology

[0003] Most of the atmospheric turbulence detection methods in the prior art are sounding balloons, but their limitations such as high cost, locality, and low resolution make it impossible to meet the accuracy requirements for near-surface detection

Insufficient detection methods have become a bottleneck restricting the understanding of the interaction mechanism between urban boundary layer pollutants and turbulence

At present, there is a lack of a device with high integration and high resolution accuracy to detect parameters such as urban near-surface turbulence

Images