民航空管气象智能体的发展与思考

Development and Reflections on the Meteorological Agent for Civil Aviation Air Traffic Management

摘要: 随着我国空中交通流量持续增长，空管气象业务面临精准化、实时化、协同化的多重挑战。本文聚焦民航空管气象核心业务需求，结合空管系统气象服务产品现状，提出构建适用于空管气象业务的智能体，将其定位为虚拟“数字首席预报员”。通过搭建覆盖多源气象数据、业务协同任务调度、专业化材料输出、全流程质量管控的智能闭环体系，推动空管气象业务从语言模型辅助提效向业务深度协同智能体跨越。文章深入探讨空管气象智能体的架构、应用与实践价值，构建人、模型与气象业务系统的混合编组模式，为破解空管气象服务协同瓶颈，探索智慧气象服务新场景提供理论支撑与落地方案。

Abstract: With the continuous growth of air traffic flow in China, air traffic management (ATM) meteorological services are facing multiple challenges of precision, real-time performance and collaboration. Focusing on the core business requirements of civil aviation ATM meteorology and combining the current status of meteorological service products in the ATM system, this paper proposes the construction of an agent suitable for ATM meteorological services, positioning it as a virtual “digital chief forecaster”. By building an intelligent closed-loop system covering multi-source meteorological data, business collaboration task scheduling, professional material output and whole-process quality control, it promotes the leap of ATM meteorological services from language model-assisted efficiency improvement to in-depth business collaboration agent. This paper deeply discusses the architecture, application and practical value of the ATM meteorological agent, and constructs a hybrid grouping mode of humans, models and meteorological business systems, so as to provide theoretical support and implementation schemes for breaking the collaboration bottleneck of ATM meteorological services and exploring new scenarios of intelligent meteorological services.