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低空智能网联体系

张学军 刘法旺 张祖耀 田野

张学军,刘法旺,张祖耀,等. 低空智能网联体系[J]. 北京航空航天大学学报,2025,51(6):1793-1815 doi: 10.13700/j.bh.1001-5965.2025.0060
引用本文: 张学军,刘法旺,张祖耀,等. 低空智能网联体系[J]. 北京航空航天大学学报,2025,51(6):1793-1815 doi: 10.13700/j.bh.1001-5965.2025.0060
ZHANG X J,LIU F W,ZHANG Z Y,et al. Overview of low-altitude intelligent networked system[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(6):1793-1815 (in Chinese) doi: 10.13700/j.bh.1001-5965.2025.0060
Citation: ZHANG X J,LIU F W,ZHANG Z Y,et al. Overview of low-altitude intelligent networked system[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(6):1793-1815 (in Chinese) doi: 10.13700/j.bh.1001-5965.2025.0060

低空智能网联体系

doi: 10.13700/j.bh.1001-5965.2025.0060
详细信息
    作者简介:

    张学军等:低空智能网联体系 17

    通讯作者:

    E-mail:zhxj@buaa.edu.cn

  • 中图分类号: V2;V24;V247.1

Overview of low-altitude intelligent networked system

More Information
  • 摘要:

    近日,低空产业联盟对外发布《低空智能网联体系参考架构(2024版)》报告,该报告作为框架性的文件,旨在用最精确简短的内容体现低空智能网联体系的关键构成,但缺乏对体系背后隐含的科学方法、理论基础、实现途径等内容的详细描述。基于此,围绕该报告的内容,对低空智能网联体系发展现状、架构设计思路、关键技术等进行了全面的阐述,旨在对报告涉及的内容做进一步的分析和解读,为后续围绕低空智能网联体系的开发和建设工作提供科学的理论参考。

     

  • 图 1  美国低空发展历程及现状

    Figure 1.  The development process and current situation of low-altitude development in the United States

    图 2  欧洲低空发展历程及现状

    Figure 2.  The development process and current situation of low-altitude development in Europe

    图 3  中国电子科技集团低空飞行运行概念示意图

    Figure 3.  Operational concepts of low-altitude navigation by CETC

    图 4  中国电子科技集团低空航行系统体系架构

    Figure 4.  System architecture of the low-altitude navigation system by CETC

    图 5  中国移动5G-A低空智联网技术体系

    Figure 5.  Technical framework of 5G-A low-altitude intelligent network by CMCC

    图 6  中国联通低空智联网整体架构视图

    Figure 6.  Architecture of the low-altitude intelligent network by CUCC

    图 7  中国电信低空网络功能架构

    Figure 7.  Functional architecture of the low-altitude network by CTC

    图 8  中国电信低空无人机监管、服务平台架构

    Figure 8.  Architecture of the low-altitude UAV supervision and service platform by CTC

    图 9  粤港澳大湾区数字经济研究院SILAS框架体系

    Figure 9.  Framework of SILAS by IDEA

    图 10  粤港澳大湾区数字经济研究院低空智能融合基础设施“四张网”

    Figure 10.  “Four Networks” of SILAS infrastructure by IDEA

    图 11  低空发展的方法论

    Figure 11.  Methodology for low-altitude development

    图 12  低空智能网联体系的发展演进过程

    Figure 12.  Development and evolution of the low-altitude intelligent networked system

    图 13  面向服务架构的空管数据共享平台[51]

    Figure 13.  Service-oriented architecture for air traffic management data sharing platform[51]

    图 14  DRF架构

    Figure 14.  The DRF architecture

    图 15  数据与服务支撑网络架构示意图

    Figure 15.  Architecture of data and service support network

    表  1  低空智能网联体系应用服务关键技术

    Table  1.   Key technologies of the application service for the low-altitude intelligent networked system

    应用服务系统 关键技术 业务能力[43-48]
    运营管理系统 数据驱动的低空智能航行管理技术 通过请求和处理飞行计划、气象信息和容流信息等,实现无人机智能飞行计划生成、航迹动态优化和多无人机协同管理
    低空交通管理
    和服务系统
    低空数字化空域管理技术 基于低空空域数字化模型,支持航行方案的仿真验证、空域资源和运行态势的可视化,为实时决策提供数据支撑
    空域容流自适应匹配技术 根据实时飞行需求和空域负载动态调整容量,优化流量分配,避免区域性的空域拥堵和冲突风险
    低空监管系统 实时安全风险评估 构建低空运行风险动静态指标体系,实时评估当前空域安全风险;在突发事件中快速生成风险报告,辅助应急决策
    身份识别与认证 系统支持无人机提供身份识别和权限认证、飞行活动记录溯源、防止非法设备入侵等业务,保障空域内低空飞行器的合法运行
    下载: 导出CSV

    表  2  SWIM关键技术

    Table  2.   Key technologies in SWIM

    关键技术 功能描述 指标参考
    数据标准化 统一航班信息、飞行情报、
    气象信息等异构数据接口
    ≥7种异构数据
    信息交换模型构建 标准化数据交换模型
    (如AIXM、FIXM、WXXM等)
    数据吞吐量 ≥
    10 Gbit/s
    面向服务架构
    设计
    提供态势感知、运行控制、
    飞行计划更新等服务支持
    服务数据延迟≤
    100 ms
     注:假设一个典型的全国性 SWIM 系统服务约 5 000 个终端(机场、航空公司、空管站等),每个终端每秒传输数据 200 KB,吞吐量可达 5 000 × 200 KB/s ≈ 8 Gbit/s。
    下载: 导出CSV

    表  3  DRF关键技术梳理

    Table  3.   Analysis of key technologies in DRF

    关键技术 功能描述 指标参考
    数据融合 动态数据融合与推理生成 终端数量 ≥ 10 000;
    数据吞吐量 ≥
    10 Gbit/s
    智能算法 支持实时态势感知与
    任务规划服务
    算法响应时间 ≤ 200 ms
    分布式服务架构 动态生成分发任务相关的
    决策支持服务
    动态服务生成时间≤1 s
     注:假设 10 000 架无人机,每秒上报 100 KB 数据,同时接受推理结果,吞吐量可达 10 000 × 100 KB/s ≈ 8 Gbit/s。
    下载: 导出CSV

    表  4  数据与服务支撑网络所需关键技术

    Table  4.   Key technologies required for the data and service support network

    关键技术 功能描述 指标参考
    数据标准化 接入机载终端与地面基础设施
    数据,统一标准化数据接口
    ≥15种异构数据
    信息融合与
    建模
    基于接入的融合数据扩展建模,
    实现多源数据的智能决策
    模型构建
    单次建模时间 ≤ 10 s;
    融合误差 ≤ 1%
    数据交换 实现城市级规模的低空数据
    可靠传输与动态交换
    数据传输速率 ≥
    10 Gbit/s;
    延迟 ≤ 50 ms
    服务能力生成 生成和分发飞行态势感知、
    冲突检测、
    路径优化等业务服务所需的
    底层数据和决策信息。
    支持终端 ≥ 10 000;
    动态服务生成
    时间 ≤ 1 s
    下载: 导出CSV

    表  5  低空智能网联体系通信能力需求

    Table  5.   Communication capability requirements of the low-altitude intelligent networked system

    能力需求 具体含义
    传输时延 从发送端发送数据到接收端接收到数据所需的时间间隔
    传输速率 在单位时间内可以传输的数据量,通常以bit/s为单位
    覆盖率 通信网络能够有效提供服务的区域占总区域的比例
    连续性 通信服务在一段时间内不间断的能力
    完好性 在未检验出错误情况下,通信处理能够在一个通信处理时间内完成的概率
    下载: 导出CSV

    表  6  通信可选技术方案

    Table  6.   Optional communication technology solutions

    技术手段 需要解决问题/缺点 指标参考
    5G蜂窝通信 需要解决航空优先级、
    天线指向、高密度服务
    拥堵相关问题
    带宽≥10 Gbit/s
    空口时延≤1 ms
    LEO卫星通信 可能具有双重功能
    (通信和导航增强)
    通信延迟≤100 ms
    上行速率≥10 Mbit/s
    低空通信专网和
    数据链
    需要部署多基站或
    中继设备
    数据链:
    传输距离≥40 km
    传输速率≥300 Kbit/s
    专网:覆盖高度≥1 km
    传输速率
    100~1.024×105 Kbit/s
    (不同技术路径有差异)
    北斗短报文通信 引入数据压缩技术,减少单次通信的数据量 单条报文1 000Byte
    (北斗三)
    VDL模式2 成本、容量和延迟方面
    存在问题
    通信速率31.5 Kbit/s
    VDL模式3 适当的带宽
    通信速率31.5 Kbit/s
    自组网电台 需解决跳转增加的
    网络传输延迟
    峰值速率≥10 Mbit/s
    单台距离≥30 km
    组网能力≥64节点
    跳数≥10
    (不同产品差异较大)
    激光通信 成熟度不足
    WiFi/蓝牙 短距离通信需要太多的地面站点以确保可行性;易受发射器干扰;适用低速合作目标 最大传输速率:
    9.6 Gbit/s
    24 Mbit/s(蓝牙)
    传输距离:
    100 m(WiFi)、
    10 m(蓝牙)
    下载: 导出CSV

    表  7  低空智能网联体系导航能力需求

    Table  7.   Navigation capability requirements of the low-altitude intelligent networked system

    能力需求 具体含义
    定位精度 系统测量或计算目标位置的准确度
    更新频率 系统在覆盖区域内,2次位置信息更新的时间间隔
    可用性 在指定的覆盖区域内,多技术手段融合导航系统能够提供有效服务时间的百分比
    连续性 导航系统在覆盖区域一定时间范围内持续提供位置信息的能力
    完好性 系统出现故障并超出误差限制时,在规定的时间阈值内向用户发出告警的能力
    下载: 导出CSV

    表  8  导航可选技术方案

    Table  8.   Optional navigation technology solutions

    技术手段 需要解决问题/缺点 指标参考
    惯性导航 漂移误差累积;高精度成本高 角速度精度 ≤0.01 (°)/s;
    加速度精度 ≤0.01 m/s²;
    累计位置误差 ≤
    0.1%×距离
    视觉导航 需要与环境地图进行匹配(如SLAM) 导航精度 ≤ 0.2 m;
    特征点匹配成功率 ≥95%;
    算法延迟 ≤50 ms
    卫星导航及
    增强
    需与RTK、增强系统、完好性监测共同适用;多径效应;抗干扰 定位精度:≤1 m(普通),
    ≤0.1 m(RTK增强)
    信号丢失恢复时间 ≤5 s
    高度计 城市环境中的气压高度计可能会有高达
    152.4 m的高度误差
    高度测量精度 ≤0.1 m
    响应时间 ≤10 ms
    LiDAR 高分辨率LiDAR设备成本较高 探测距离 ≤200 m
    探测精度 ≤0.01 m
    点云刷新率 ≥10 Hz
     注:不同制造商设备数据存在差异。
    下载: 导出CSV

    表  9  低空智能网联体系监视能力需求

    Table  9.   Surveillance capability requirements of the low-altitude intelligent networked system

    能力需求 具体含义
    监视识别率 系统发现并准确识别监视目标的概率
    监视信息更新频率 系统在时间范围内更新监视信息的次数
    监视告警时延 从事件发生到监视系统发出告警的时间间隔
    误警率 系统发出错误告警的概率
    虚警率 系统错误的报告监视目标的概率
    漏警率 系统未能发出应有告警的概率
    完整率 系统在未检验出错误情况下,能够在一个监视周期内完成监视任务的概率
    下载: 导出CSV

    表  10  监视可选技术方案

    Table  10.   Optional surveillance technology solutions

    目标类型 技术手段 需要解决问题/缺点 指标参考
    合作目标 远程识别 强制要求轻小微无人机通过远程识别报送信息,最低性能要求(试行)已发布 探测距离
    1~2 km
    频率 2.4 GHz/
    5.8 GHz
    广播式自动相关监视 ADS-B设备可用于中大型无人机;解决
    1 090 MHz频段
    拥堵问题
    探测距离≥200 km
    (有人机)
    监测识别无人机≥
    100 架
    处理速度≥
    500报文/s
    非合作目标 低空监视
    雷达
    减少虚假目标和误警;提高对低反射目标
    (如微型无人机)的
    探测能力
    探测范围达到20 km
    探测高度1 000 m
    跟踪目标数量≥
    500架
    识别时间≤10 s
    5G-A
    通感一体
    目前测试验证
    不充分;昂贵
    面向低空场景单站覆盖距离≥ 1 200 m
    感知高度≥300 m
    光电/红外
    探测
    作用距离短,
    识别精度受限
    跟踪距离≥2 km
    跟踪误差≤0.02°
    识别距离≥1 km
    频谱探测 高密度电磁环境中,容易受到干扰,信号分离困难;对静默无人机
    探测能力有限
    探测距离≥10 km;
    覆盖频段0.02~
    8 GHz;测向精度≤3°;目标识别优于20 mm
    下载: 导出CSV

    表  11  5G-A技术指标发展

    Table  11.   Development of 5G-A technical indicators

    性能参数 5G-A级别 5G级别
    下行速率 10 Gbit/s 1 Gbit/s
    上行速率 1 Gbit/s 200 Mbit/s
    时延 5~10 ms 20 ms
    位置精度 厘米级 米级
    感知能力 距离、速度
    现存问题 存在同频干扰,时间同步误差
    不能满足精度要求,网络容量
    增长限制
    无法针对低空场景
    提供网络支持
    下载: 导出CSV
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  • 收稿日期:  2025-01-23
  • 录用日期:  2025-03-18
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