Battery scheduling method and device for full-automatic airport and electronic equipment

Abstract

The invention provides a battery scheduling method and device for a full-automatic airport and electronic equipment, and the method comprises the steps: collecting the environment information of an area where the full-automatic airport is located if a task instruction is received; wherein the task instruction carries task information of a to-be-executed task; according to the task information and the environment information, determining target power consumption required by the unmanned aerial vehicle for executing the to-be-executed task; determining a target battery from the candidate batteries according to the residual electric quantity of each candidate battery and the target consumed electric quantity; and executing a battery loading action for the target battery and the unmanned aerial vehicle, so that the unmanned aerial vehicle loaded with the target battery executes the to-be-executed task. According to the invention, the battery operation and maintenance frequency and the battery operation and maintenance cost can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a battery scheduling method, device and electronic equipment for fully automatic airports. Background technique [0002] The UAV fully automatic airport can automatically replace the battery for the UAV, so that the UAV can continue to fly and complete the task efficiently. Generally, each fully automatic airport will be equipped with multiple batteries. When there is no flight mission, the battery will be placed in the battery compartment of the fully automatic airport for automatic charging. When there is a flight mission, a battery will be selected from the battery compartment and loaded to the drone. . At present, the battery selection strategy adopted by fully automatic airports for battery scheduling mainly includes fixed sequence selection or random selection. However, the above methods have increased battery operation and maintenance frequency due to dif...

AI Technical Summary

Problems solved by technology

At present, the battery selection strategies adopted by fully automatic airports for battery scheduling mainly include fixed sequence selection or random selection. However, the above methods have increased battery operation and maintenance frequency due to differences in battery usage frequency and battery life. problems, resulting in higher battery operation and maintenance costs

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