The application discloses an unmanned aerial vehicle intelligent
inspection method for particulate matter
pollution prevention and control, which comprises the following steps: S1,
aerial photography is performed to acquire particulate matter
pollution source images, and a
pollution source image identification model is generated; S2,
aerial photography is performed to acquire particulate matter pollution control facility images, and a pollution control facility
image identification model is generated; S3, relevant data is collected, and a particulate matter pollution source and particulate matter pollution control facility
list and distribution map are generated; S4, a terminal
intelligent control platform plans an unmanned aerial
vehicle inspection route; S5, when particulate matter concentration data of a
monitoring site reaches a warning value, an inspection operation is started; S6, data recorded by the unmanned aerial
vehicle inspection is transmitted to the terminal in real time; S7, according to the transmitted data, the terminal identifies pollution source types, pollution degrees and pollution control facility states, and forms a pollution source inspection
list; and S8, the generated
list is automatically sent to relevant personnel. The application has high target recognition precision and accurate positioning, improves the inspection efficiency of particulate matter
pollution prevention and control, and reduces labor costs.