In low-altitude intelligent network, 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, a communication-monitoring integrated semi-physical simulation and validation system for low-altitude intelligent network is designed and implemented. 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. The 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 system in evaluating the robustness and boundary performance of protocols for low-altitude intelligent network.

As a core information infrastructure for future all-domain coverage and intelligent collaboration, the space-air integrated intelligent network faces multiple challenges in complex environments. To address the resilience enhancement and evaluation issues of the space-air integrated intelligent network command and control system, a system model incorporating space-based and air-based networks is first constructed. On this basis, a phased resilience enhancement framework is proposed, which divides the resilience enhancement process into four stages: resistance, absorption, recovery, and reconstruction. Systematic reviews of corresponding resilience enhancement methods for each stage are conducted. Furthermore, a resilience evaluation index system for the space-air integrated intelligent network command and control system is established, and a combination method of analytic hierarchy process and adaptive weight particle swarm optimization is proposed, which can achieve scenario-based adaptive weighting. Starting from four resilience dimensions-resistance capability, absorption capability, recovery capability, and reconstruction capability-the overall resilience evaluation results of the system are derived. Simulation tests are also designed to assess the resilience of the space-air integrated intelligent network command and control system.