This application relates to a
drone-nested power distribution application
system and method based on
power grid drone inspection, comprising an automatic
drone nesting unit, a drone swarm, an
edge computing unit, a collaborative scheduling unit, and an intelligent application unit. Each unit is connected to the dedicated
power grid via a dual-link redundant transmission through a 5
G network. The automatic drone nesting unit provides the drone swarm with automatic take-off and landing, intelligent power replenishment, and environmental adaptive protection. The drone swarm is equipped with multimodal sensors to collect images of distribution network equipment and
environmental data. The
edge computing unit, integrated within the drone nesting unit, performs
multimodal data fusion, defect identification, and online
incremental algorithm updates. The collaborative scheduling unit, based on a digital twin model of the distribution network, achieves unified scheduling, spatiotemporal isolation, and
emergency response for multiple drones and tasks. The intelligent application unit seamlessly integrates with the
power grid management platform to achieve task distribution and closed-loop
processing of work orders. This application significantly improves inspection efficiency and defect identification accuracy while reducing operation and maintenance costs.