Drone spraying planning method

Abstract

The invention discloses a drone spraying planning method. The method comprises the following steps that 1, farmland information and drone spraying operation parameters in a database are stored, and adrone spraying operation area frame is generated; 2, drone spraying operation parameters are set, and a flight waypoint is generated; 3, a return number j is calculated, by arranging supply points andreturn points, a shortest return flight is generated, and spraying operation flights of all operation sorties of a drone are calculated; 4, an effective load algorithm is adopted for planning an operation load of the single operation sortie of the drone, and the optimal operation load of the single operation sortie is obtained; 5, the real-time residual capacity of the drone is obtained, the capacity needed by the next operation sortie of the drone is pre-judged, and by comparing the real-time residual capacity with the capacity needed by the next operation sortie, early warning is conductedon drone departure. According to the drone spraying planning method, not only can loss of ineffective energy consumption of the drone be lowered, but also the safety of drone spraying operation is ensured.

Description

technical field [0001] The invention relates to the field of plant protection operations of unmanned aerial vehicles, in particular to a planning method for spraying by unmanned aerial vehicles. Background technique [0002] The early plant protection UAV spraying operation method was based on the UAV operator holding the remote control to control the UAV spraying operation in the farmland, relying on visual manual planning of the flight route, but this method relies too much on human factors and cannot During man-machine operation, it often deviates from the normal route, and the phenomenon of missed spraying and heavy spraying occurs. The operation quality is low and the effect is poor. For large-scale farmland spraying operations, plant protection UAVs need to replenish the load and power multiple times to and from the supply point due to their small load and low power. The more the number of round trips, the longer the round trip distance. The greater the power, the los...

AI Technical Summary

Problems solved by technology

[0002] The early plant protection UAV spraying operation method was based on the UAV operator holding the remote control to control the UAV spraying operation in the farmland, relying on visual manual planning of the flight route, but this method relies too much on human factors and cannot Man-machine operation often deviates from the normal route, resulting in missed spraying and re-spraying, low operating quality and poor effect

For large-scale farmland spraying operations, plant protection UAVs need to replenish the load and power multiple times to and from the supply point due to their small load and low power. The more the number of round trips, the longer the round trip distance. The greater the power, the loss of this invalid energy consumption not only increases the economic cost and operation time of the operation, but also reduces the operation efficiency

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