针对低空智联网中通信链路状态与飞行监测业务存在深层强耦合的特性，现有仿真工具因网络拓扑与物理环境的割裂，难以评估物理环境变化对通信质量及监测业务的级联影响。为此，本文设计并实现了一套通信监测融合的低空智联网半实物仿真验证系统。该系统采用“网络-物理域联合仿真”机制，在工程上采用分布式架构，有机集成了基于Mininet的轻量化网络仿真与基于AirSim的高逼真度三维场景仿真。系统引入通信信道计算模型，通过解算物理遮挡与信号衰落，实现了通信网络与物理场景动态变化的闭环同步。针对硬件在环测试需求，设计了基于数字孪生的虚实节点镜像映射机制，实现了真实无人机硬件无缝接入虚拟仿真网络并与之进行数据交互。实验结果表明，在当前硬件配置与测试场景下，该系统可稳定支撑500节点量级规模的物理域-网络域联合仿真闭环运行，更在典型测试中成功复现了复杂地形遮挡下“物理环境恶化引发通信链路中断，进而导致仿真客户端节点状态由在线转为离线”的跨域耦合效应，验证了该平台在评估低空智联网协议鲁棒性与边界性能方面的高效性与可靠性。

In low-altitude intelligent networks, communication link states and flight monitoring services are deeply and strongly coupled. However, existing simulation tools, due to the separation between network topology and physical environment modeling, are inadequate for evaluating the cascading effects of physical environmental changes on communication quality and monitoring services. To address this issue, this paper designs and implements a communication–monitoring integrated semi-physical simulation and validation system for low-altitude intelligent networks. The system adopts a network–physical domain co-simulation mechanism and, from an engineering perspective, employs a distributed architecture that organically integrates lightweight network simulation based on Mininet with high-fidelity three-dimensional scene simulation based on AirSim. A communication channel calculation model is introduced to achieve closed-loop synchronization between the communication network and dynamic physical scene changes by resolving physical obstruction and signal fading. To satisfy the requirements of hardware-in-the-loop testing, a digital-twin-based mirror mapping mechanism between virtual and physical nodes is designed, enabling real UAV hardware to be seamlessly connected to the virtual simulation network and to perform data interaction with it. Experimental results show that, under the current hardware configuration and test scenarios, the system can stably support closed-loop co-simulation between the physical and network domains at a scale of approximately 500 nodes. Moreover, in representative tests, the system successfully reproduces the cross-domain coupling effect under complex terrain occlusion, in which deterioration of the physical environment causes communication link interruption, which in turn leads to the status transition of simulation client nodes from online to offline. These results verify the efficiency and reliability of the proposed platform in evaluating the robustness and boundary performance of protocols for low-altitude intelligent networks.