基于多源实时数据的空管运行安全态势监控预警方法研究与系统开发
Research on Safety Situation Monitoring and Early Warning Method of Air Traffic Management Operation Based on Multi-Source Real-Time Data and System Development
摘要: 空管运行安全态势监控面临数据来源多样、实时性要求高、风险动态演化等挑战。为增强对运行风险的精准感知与主动预警能力，本文通过整合雷达信号、ADS-B报文、气象信息、航班计划等多源数据，构建动态风险评估模型与分级预警机制，设计并实现了空管运行安全态势监控预警平台系统。系统基于多源实时数据融合与智能分析技术，并采用流式计算框架实现实时数据处理，对辖区内的整体运行态势进行评估、对关键指标以直观便捷的方式展示、对潜在的运行风险予以提醒。实际应用表明，该平台能够提升风险识别的准确性和时效性，有效支持空管运行安全决策，验证了其在复杂运行环境下的实用性与可靠性。
Abstract: Air traffic control (ATC) operational safety situation monitoring faces challenges such as diverse data sources, high real-time requirements, and dynamic risk evolution. To improve the accurate perception and proactive early warning of operational risks, this paper integrates multi-source data including radar signals, ADS-B messages, weather information, and flight plans. On this basis, a dynamic risk assessment model and a hierarchical early warning mechanism are constructed, and an ATC operational safety situation monitoring and early warning platform system is designed and implemented. The system is based on multi-source real-time data fusion and intelligent analysis technology, and uses streaming computing framework to achieve real-time data processing, to assess the overall operation situation within the jurisdiction, to display key indicators in an intuitive and convenient way, and to remind potential operational risks. The practical application shows that the platform can improve the accuracy and timeliness of risk identification, effectively support the safety decision-making of air traffic control operation, and verify its practicability and reliability in complex operating environment.
文章引用：祝刚. 基于多源实时数据的空管运行安全态势监控预警方法研究与系统开发[J]. 计算机科学与应用, 2026, 16(8): 246-257. https://doi.org/10.12677/csa.2026.168278

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