图③：重庆大学航模队成员进行"无人机定点空投"项目比赛准备。受访者供图 浙江德清县，莫干山机场的机库，树脂的微酸、碳纤维的细尘与汗水味交织。 图①：北京航空航天大学航模队成员在"无人机侦察与打击"项目期间手抛飞机。受访者供图 图②：河北科技大学航模队飞机模型。曹佳瑞摄 约150所高校，近4000名师生，一场属于青春与科技的挑战在这里上演——2025中国大学生飞行器设计 创新大赛进入最后冲刺。这是中国航空学会主办，面向全国高校、高职院校开展的航空航天科技创新赛 事，自2022年创办以来，深受大学生爱好者欢迎。 凌晨3点，北京航空航天大学航模队队长、航空科学与工程学院本科生史笑涵放下手中的工具，揉了揉 眼睛，拨通一个号码。 "你们还在机库？"她对着话筒提高了音量。 "一直都在，这里可热闹了。"重庆大学航模队骨干、航空航天学院本科生杨雯迪秒接电话，背景音里是 切割机的声响。 "现实中，每个型号的飞机都有一个总设计师。而在大学的航模设计领域，也会有一名同学负责统筹全 局，这个人其实就是'校园总师'。"北航航模队指导教师、航空科学与工程学院副教授张良说，这项工 作从设计图纸、打磨组装零部件，到调试操作程序、开展试飞试验 ...

Core Insights - The low-altitude economy is rapidly emerging as a new trillion-yuan industry, with projections indicating a market size of 1.5 trillion yuan by 2025 and over 2 trillion yuan by 2030 [1] - The development of a top-level planning framework is essential to address challenges and ensure sustainable growth in the low-altitude economy [1] Group 1: Digital Infrastructure for Low-altitude Economy - The low-altitude economy is transitioning from "point exploration" to "cluster development," with the intelligent networking system being a core support for orderly development [2] - A "ground-air collaborative control" system is necessary to manage airspace effectively, ensuring visibility, control, and safety in operations [2] - The integration of communication, navigation, and perception is fundamental for low-altitude operations, requiring high precision in positioning and AI for dynamic route optimization [2][3] Group 2: Safety and Regulatory Framework - Safety is a prerequisite for the broader commercialization and sustainable development of the low-altitude economy, with discussions focusing on airworthiness certification, testing, and cross-industry collaboration [4] - A comprehensive low-altitude security system is proposed, emphasizing multi-source perception and intelligent response for monitoring both cooperative and non-cooperative targets [5] - The establishment of a full lifecycle inspection and testing system for drones is advocated, utilizing digital twin technology and big data for fault prediction and health management [6]