Autonomous Drone Flight Replay for Long-Distance Delivery Control
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Solution Overview
Problem
Current drones are limited in payload capacity, typically able to carry items weighing between three to five kilograms, which restricts their efficiency in delivering large quantities of goods, especially over long distances, requiring multiple drones and manual control.
Innovation Solution
An autonomous drone system that includes a remote controller with a signal transmitter and a drone equipped with a signal receiver and a flight control panel, allowing the drone to continue flying autonomously after initial remote control input, using historical flight reference data to maintain previous flight patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple drones are deployed to deliver large quantities of items, then delivery capacity increases, but operational complexity and cost increase
Solution Approach 1:
The drone automatically follows the user by self-determining its position relative to the user through positioning signals, and self-adjusting its flight path without requiring continuous manual control. This enables a single drone to perform what previously required multiple manually-controlled drones.
2Measurement precision
If manual remote control is used for long distance deliveries, then delivery accuracy improves, but manpower requirements and time consumption increase
Solution Approach 1:
The system pre-establishes a following mode where the drone automatically tracks the user's position and movement patterns. This preliminary setup allows the drone to maintain accurate delivery performance without requiring continuous manual intervention during the flight.
Solution Approach 2:
The drone continuously receives positioning signals from the user's device and adjusts its flight path in real-time based on the user's location. This feedback mechanism ensures the drone maintains accurate tracking and delivery precision throughout the journey.
3Reliability
If continuous manual control is maintained, then flight safety improves, but operator fatigue and reduced efficiency occur
Solution Approach 1:
The drone performs self-monitoring and self-correction of its flight path by automatically tracking the user's position and adjusting its trajectory. This maintains flight safety through continuous active control while eliminating operator fatigue associated with constant manual intervention.
Data Source
AI summary
An autonomous drone is provided. When a remote control circuit of a remote controller is triggered to output a remote control signal, a main controller of a drone records the remote control signal and a flight control panel of the drone controls the drone to fly according to the remote control signal. When the remote controller is triggered to output an automatic flight signal, a signal receiver of the drone receives and transmits the automatic flight signal to the main controller. At this time, the main controller instructs the flight control panel to control the drone to fly according to movement instruction messages of the remote control signal previously recorded.