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AI“大脑”点亮低空经济
Core Viewpoint - The rapid development of AI technology is driving significant changes in the low-altitude economy, which encompasses drone logistics, emergency rescue, and future manned transportation, positioning AI as a fundamental "operating system" for creating an efficient and safe low-altitude transportation system [1] Group 1: AI's Role in Low-altitude Economy - AI is not only an auxiliary tool but also plays a central role in macro management and infrastructure development within the low-altitude economy [2] - Effective Unmanned Traffic Management (UTM) is crucial as the number of drones increases, requiring AI algorithms for complex decision-making from long-term route planning to real-time updates [2][3] Group 2: Infrastructure Development - The establishment of a unified national time-space standard and a "traffic light" system for low-altitude transportation is essential, integrating data collection, transmission, and scheduling [3] - Advanced network technologies like 5G-A combined with AI algorithms are foundational for achieving precise perception and automated coverage of flying vehicles [3] Group 3: Challenges Ahead - Significant challenges exist in terms of computing power, safety, and talent development for the low-altitude economy [4] - A robust computing infrastructure is necessary to handle the complexity of low-altitude scenarios, requiring a "center-edge" computing architecture for strategic and tactical execution [5] Group 4: Technical and Safety Considerations - The core technology and safety of flying vehicles, particularly eVTOLs, face challenges in balancing vertical takeoff and landing flexibility with high-speed cruising efficiency [6] - Safety in the low-altitude economy encompasses flight safety, air defense against unauthorized incursions, and industrial safety to prevent overheating and supply chain disruptions [6][7] Group 5: Talent Development - There is a shortage of interdisciplinary talent who understand both AI algorithms and low-altitude operations, necessitating collaboration among industry, academia, and research to accelerate talent cultivation [8] Group 6: Economic Viability of Low-altitude Logistics - The economic feasibility of low-altitude logistics, particularly in urban delivery, is a critical hurdle that must be overcome for the industry to transition from concept to reality [9] - Efficient scheduling and scaling of drone operations are essential to achieve a balance between cost and efficiency, with AI playing a key role in optimizing logistics [10] Group 7: Collaborative Models - A new model of integrated air-ground delivery is proposed, where drones handle trunk transportation while ground riders manage the last-mile delivery, optimizing both speed and flexibility [10][11] - AI algorithms are necessary for planning the collaborative paths of trucks and drones to maximize economic efficiency [12] Group 8: Future Outlook - AI technology is empowering the low-altitude economy with unprecedented depth and breadth, indicating a shift towards a more intelligent, safe, and efficient low-altitude economic era [13]
东航携手华东空管局深化协同机制 提升空地运行质效
华东空管局空管中心区域管制中心还分7个批次组织72名带班主任,与东航资深飞行教员和签派带班主 任共同开展机组资源管理(CRM)培训。课程围绕情景意识、沟通技巧、决策协调和团队领导力等核 心内容,通过案例研讨、角色模拟、小组讨论等,精准探索优化空地协作流程、化解运行冲突、提升应 急处置效率的实践路径,有力打破专业与岗位壁垒,增强了三方在复杂运行场景下的互信与协同能力。 未来,三方将继续秉持"淡季抓协同、淡季抓培训"的工作思路,稳步推进多项合作计划,包括动态模拟 机观摩、63人次管制员CRM深度培训及"特情处置联合培训视频(第二期)"拍摄等重点项目,以实际 举措巩固协同成果,进一步提升空地运行安全与效率。(编辑:陈虹莹 校对:李佳洹 审核:韩磊) 《中国民航报》、中国民航网 记者胡夕姮 通讯员奚啸麒 报道:为进一步提升运行效率与安全水平,深 化空地协同机制,华东空管局、东航运控中心与东航研发中心于9月16日召开专题会议,共商下半年深 度合作事宜。 (东航供图) 2025年上半年,三方通过多元形式紧密联动,推动运行控制、空中管制与特情处置深度融合,取得显著 成效。东航运控中心牵头,东航研发中心协同,共联合华东空管局 ...
从“协调问题”迈向“预判风险” 江西民航空地协同再升级
《中国民航报》、中国民航网 记者胡夕姮 通讯员肖林 报道:7月28日,民航江西监管局组织召开江西 民航2025年第二季度空地联络协调会,江西航空、东航江西分公司、江西省机场集团、江西空管分局、 中航油江西分公司等驻场单位领导及关键岗位员工代表齐聚一堂,围绕"强化问题导向、聚焦协同增 效"两大主题,对空地运行痛点进行再梳理、再攻坚,推动空地协同从"事后协调"向"事前预判"迭代升 级。 会上,各单位首先对2024年空地联络协调会确定的四类重点督办事项完成情况进行回顾。随后,各运行 单位员工代表就跑道安全、运行效率、安全标准、设备升级等高频难点展开面对面交流,现场收集意见 14条,立整立改6条,其余全部纳入"问题—措施—责任—时限"四张清单闭环管理。 江西监管局主要负责人在总结中肯定了江西民航在安全与效率方面取得的成绩,强调空地协调会应 以"问题导向和协同机制"为原则,并提出下一阶段"两个升级"工作要求:一是问题导向升级,各单位需 运用系统性思维多维度挖掘运行深层痛点,将空地协同从"解决问题"前移到"预判风险";二是协同效能 升级,要以旅客服务与运行效率为双核心,持续优化应急处置、信息共享等全链条机制,全方位提升航 ...
哈尔滨机场航班正常性连续两个月位居全国两千万级以上机场榜首
《中国民航报》、中国民航网 记者李佳为 通讯员祁妍 报道:哈尔滨机场航班正常性连续两个月位居全 国两千万级以上机场榜首。这一成绩,充分彰显了哈尔滨机场在运行管理方面的深厚实力,也为保障旅 客顺畅出行、推动航空运输业高质量发展贡献力量。 哈尔滨机场航班正常性的连续领先,得益于多方面积极有效的举措。在运行管理上,推行精细化管理模 式,运用先进的数据分析和预测技术,科学合理地安排航班分布,优化地面保障流程,大幅提高了资源 利用效率和运行效率。 同时,哈尔滨机场与航空公司、空管部门等相关单位建立了紧密的合作机制。通过高效的信息共享和协 同决策,机场能够迅速响应复杂天气、流量控制等突发情况,确保航班运行的连续性和稳定性。这种空 地协同、多方联动的机制,为哈尔滨机场的航班正常性提供了有力保障。 作为东北地区首个双跑道国际机场,哈尔滨机场的硬件设施优势显著。双跑道的配置有效提升了机场的 容量和保障能力。此外,机场还配备了智能化的驱鸟系统和防滑设施,为航班的安全起降提供了有力支 持。 改善旅客体验,推动行业发展 航班正常性的提升,直接改善了旅客的出行体验。旅客能够更加准确地规划行程,减少候机时间,享受 到更加便捷、高效的航空 ...
华东空管局空管中心青年管制员赴东航开展“空地协同”交流
Core Insights - The article discusses a "ground-air collaboration" youth job exchange activity organized by the East China Air Traffic Management Bureau, aimed at enhancing cooperation between air traffic control and Eastern Airlines [1][2] - The initiative involves young representatives from the air traffic control center experiencing various operational roles at Eastern Airlines, including flight dispatch and static flight simulation [1][2] Group 1 - The youth representatives from the air traffic control center visited the Eastern Airlines operation control center to understand the roles and collaboration among different positions [1] - Participants engaged in hands-on learning of basic operations for Boeing 737 and Airbus A320 aircraft under professional guidance [1] - The activity emphasized the importance of ground-air collaboration for safe and efficient flight operations [2] Group 2 - Following the event, the air traffic control center plans to continue joint activities with Eastern Airlines and other related units to establish a regular job exchange mechanism [2] - The initiative aims to create a safety culture ecosystem characterized by empathy, shared learning, and progress among young professionals in the industry [2]