Unmanned aerial vehicle with air detection function

Abstract

The invention discloses an unmanned aerial vehicle with an air detection function. The unmanned aerial vehicle comprises an unmanned aerial vehicle body, a detection box and an MCU controller. The detection box and a main vehicle box are installed in an inner cavity of the unmanned aerial vehicle body. A PM2.5 sensor, a temperature sensor and a humidity sensor are arranged at the top of an inner cavity of the detection box sequentially from left to right. A carbon dioxide sensor, a sulfur dioxide sensor and a nitrogen dioxide sensor are arranged at the bottom of the inner cavity of the detection box sequentially from left to right. The input end of the MCU controller is electrically connected with the PM2.5 sensor, the temperature sensor, the humidity sensor, the carbon dioxide sensor, the sulfur dioxide sensor, the nitrogen dioxide sensor, a GPS locating module, a ranging device and the output end of a camera. The output end of the MCU controller is electrically connected with a gas inlet valve, a gas outlet valve, a flight controller and the input end of a speed governing controller. Through the unmanned aerial vehicle, the air quality condition in a high altitude area can be obtained, detection data is obtained accurately, and the safety guarantee capability is high.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle with air detection. Background technique [0002] As my country's air pollution has become more and more serious in recent years, especially fine particulate matter (PM2.5) accounts for an increasing proportion of pollutants, the tasks of pollution detection and prevention and control have become increasingly heavy. To this end, most cities have installed or perfected air quality testing equipment. However, there is still a large difference between the data prediction made based on the ground detection data and the development of the actual environmental pollution situation; in addition, the control measures implemented based on the ground detection data, such as ground watering, construction site cover, traffic restrictions, industrial restrictions, etc. Production and other programs, the effect is not satisfactory. Contents of the ...

AI Technical Summary

Problems solved by technology

However, there is still a big difference between the data prediction made based on the ground detection data and the development of the actual environmental pollution situation; in addition, the control measures implemented based on the ground detection data, such as ground watering, construction site cover, traffic restrictions, industrial restrictions, etc. Production and other programs, the effect is not satisfactory

Images