Atmospheric pollution data acquisition method for industrial park based on unmanned aerial vehicle

Abstract

The invention discloses an atmospheric pollution data acquisition method for an industrial park based on an unmanned aerial vehicle. The atmospheric pollution data acquisition method comprises the following steps: performing grid distribution on zones to be tested and pollution sources; setting that the influence of the pollution sources on the adjacent zones is inversely proportional to a distance, and considering the importance of the pollution sources and the influence of seasonal wind directions; calculating the relative pollution index of each of the pollution sources to each grid unit, and further dividing the zones to be tested into a plurality of pollution gathering zones; making a cruise plan of the unmanned aerial vehicle for each pollution zone, wherein the unmanned aerial vehicle carries a portable detector, and automatically cruises from the leeward boundary of the flight area to the upper boundary in an S-shaped trace; enabling the acquired pollutant data to perform association in time with the GPS positioning data of the unmanned aerial vehicle; matching the pollutant monitoring data with a grid vector map of the zone to be tested; taking the average value of all pollutant sample data in each unit grid as the final value of the unit grid. Through the adoption of the atmospheric pollution data acquisition method disclosed by the invention, the data acquisition is more optimal and scientific, and convenient for environment management and decision making.

Description

Technical field [0001] The invention relates to a technology in the field of atmospheric environment science, in particular to a method for collecting air pollution data in an industrial park based on a drone. Background technique [0002] Industrialization has promoted the rapid growth of society and economy, and at the same time it has also brought about increasingly severe air pollution problems. Taking urban industrial parks as an example, environmental problems such as malodorous gas pollution are increasingly being complained by surrounding residents, which has become a bottleneck problem in the development of the park. At present, sparse ground monitoring stations can no longer monitor the air pollution in the park in an all-round way, and it is difficult to measure the impact of complex and scattered pollution sources on the surrounding area, which makes it impossible to scientifically and reasonably evaluate the air pollution status in the park, which makes it impossible...

AI Technical Summary

Problems solved by technology

However, this technology does not take into account the constraints of drone flight coverage and time, and cannot take into account the emission contributions of different pollution sources and the influence of seasonal dominant wind directions. The data collection process is not scientific and reasonable, the fuel utilization rate is low, and the collected data is not comprehensive enough.

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