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In the context of the rapidly evolving low-altitude economy, low-altitude logistics, as a crucial component of the modern transportation system, has demonstrated its unique value, especially in the delivery process of high -value-added goods such as biopharmaceuticals that require high timeliness. The logistics delivery via drones necessitates a platform capable of safety regulation and command dispatch to ensure the safety and timeliness of logistics delivery. However, traditional ground transportation methods, susceptible to uncontrollable factors like traffic congestion, tend to result in low delivery efficiency and pose safety risks such as package swapping or damage. Thus, this study proposes an innovative solution: an intelligent delivery system for low-altitude drone logistics based on digital twin technology. The core of this system lies in the use of digital twin technology, combined with drones, diverse sensors, and remote communication networks, to construct a highly digitized virtual delivery environment. Through digital twin technology, drones are precisely designed within a virtual environment, which accelerates the design speed while enhancing design accuracy, ensuring that drones can meet the demands for efficient and precise delivery. Furthermore, the real -time monitoring and optimization capabilities of this technology enable the collection of drone flight data in real-time, monitoring their operational status, identifying issues promptly, and providing optimization suggestions, thereby improving the operational efficiency and safety of drones. The introduction of digital twin technology also allows the system to simulate complex real-world environments, such as densely built urban areas or mountainous regions, aiding drones in conducting preliminary tests and algorithm model training within a virtual environment, thus enhancing their ability to adapt to complex environments. Moreover, the system provides instant digital feedback and optimization suggestions to operators, supporting intelligent decision-making and further enhancing overall delivery efficiency. To verify the system's degree of digital twinning, this study also introduces a virtual -real mapping experiment. It involves fitting the drone flight trajectories in both virtual scenarios and actual physical scenarios, determining the twinning degree through a consistency ratio. Finally, a transportation route from Shenzhen Liantang Port to Pingshan Free Trade Zone was selected as the experimental case, showcasing the system's path planning and data visualization capabilities on this route. This research demonstrates the tremendous potential of drone delivery systems based on digital twin technology in promoting the digitalization, intelligence, and precision of low-altitude logistics delivery.
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