Air quality detecting device based on unmanned aerial vehicle

Abstract

The invention provides an air quality detecting device based on an unmanned aerial vehicle. The device comprises the unmanned aerial vehicle and a ground control station. An unmanned aerial vehicle flight platform is equipped with a harmful gas detecting unit, a particulate matter detecting unit, an unmanned aerial vehicle end of a data transmission unit, an onboard pan-tilt, and an unmanned aerial vehicle end of an image transmission unit. The onboard pan-tilt is equipped with an onboard camera. The ground control station comprises an unmanned aerial vehicle control interface and a pan-tilt control interface. The harmful gas detecting unit, the particulate matter detecting unit, the onboard pan-tilt and the unmanned aerial vehicle flight platform transmit harmful gas detection data, particulate matter detection data and the state data of the onboard pan-tilt to the ground control station through the data transmission unit respectively. The unmanned aerial vehicle end of the data transmission unit transmits a control signal sent by the ground control station to the unmanned aerial vehicle flight platform and the onboard pan-tilt. The device provided by the invention can quickly andaccurately measure the air quality in a wide range, transmits an air quality measurement result to the ground control station in real time, and at the same time carries out image forensics on an abnormal air quality area.

Description

technical field [0001] The invention relates to the technical field of drones, in particular to an air quality detection device based on drones. Background technique [0002] Traditional air quality monitoring methods use fixed-point monitoring, manual inspections, and vehicle-mounted mobile inspections, which are greatly limited in terms of air quality sampling locations, sampling ranges, and sampling monitoring speeds. Since many pollution emission sources are in factory areas or high altitudes, traditional air quality monitoring methods cannot accurately measure and locate these areas, which limits the comprehensiveness and effective analysis of urban air quality monitoring, and traditional air quality monitoring methods are also unable to accurately measure and locate these areas. Effective evidence collection of pollution sources. Therefore, it is necessary to use drones to monitor air quality and take images for evidence. Contents of the invention [0003] Aiming a...

AI Technical Summary

Problems solved by technology

[0002] Traditional air quality monitoring methods are carried out by means of fixed-point monitoring, manual inspection, and vehicle-mounted mobile inspection, which are greatly limited in terms of air quality sampling location, sampling range, and sampling monitoring speed.

Since many pollution emission sources are in factory areas or high altitudes, traditional air quality monitoring methods cannot accurately measure and locate these areas, which limits the comprehensiveness and effective analysis of urban air quality monitoring, and traditional air quality monitoring methods are also unable to accurately measure and locate these areas. Pollution sources for effective evidence collection

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