A method for correcting deviation of air pollutant concentration monitoring value of rotary-wing unmanned aerial vehicle

Abstract

The invention discloses a deviation correction method for air pollutant concentration monitoring value of a rotor UAV, comprising: establishing a flow field analysis model of a rotor UAV by using a CFD simulation method, generating different meteorological and different flight parameters and pollutant monitoring sensor neighborhoods The relationship function of the spatial flow field parameters; for different meteorological parameters and different flight parameter conditions, the measured values ​​​​of the pollutant concentrations obtained by the pollutant monitoring sensors and the corresponding real values ​​are collected respectively, and a certain amount of sample data is generated; combined with the sample data, Fit the deviation correction curve corresponding to each influencing factor; establish the relationship function between the influencing factors, integrate the deviation correction curves of all influencing factors, and obtain the multi-factor deviation correction coefficient curve under comprehensive conditions. The invention can be applied to the correction of the pollutant concentration value of the drone in different environments, and can quickly and accurately complete the pollutant concentration monitoring task in a designated area.

Description

technical field [0001] The invention relates to the technical field of pollutant monitoring, in particular to a method and device for correcting the deviation of air pollutant concentration monitoring value of a rotor UAV, and a rotor UAV. Background technique [0002] With the deepening of pollutant emission control measures at home and abroad and the strengthening of the awareness of environmental protection in various industries, the efficiency and accuracy of monitoring the concentration of air pollutants need to be improved urgently. There are precedents at home and abroad for the technology of using UAVs to carry pollutant sensors, but none of them take into account the disturbance of UAVs to the atmospheric airflow environment, which will affect the concentration of pollutants around the sensor, making the measured value and the real value produce considerable deviations. The existing UAV measurement technology usually only considers placing the sensor above the UAV,...

AI Technical Summary

Problems solved by technology

[0003] There are also studies that analyze from the perspective of big data, such as comparing and calibrating UAV monitoring data with multi-platform data such as conventional monitoring stations, atmospheric environment, and online monitoring systems, and using big data platforms and related models for analysis and analysis, but This method relies too much on empirical values, requires the accumulation of a large amount of historical data, and is severely limited in scene applications, and the accuracy of a single corrected value is also difficult to control. Usually, more data collected for the same scene are corrected and then averaged Etc. to reduce error fluctuations, large amount of data processing

Images