## 5 Method
### System Architecture Design
#### 5.1.2 System Architecture  
Based on the requirements analysis framework, we initially depict the key elements of the system that meet the mission requirements. As the backbone network, 5G is used to provide a mobile network with large bandwidth, low latency, and high reliability to adapt to high mobility into the network devices such as UAVs. At the same time, based on 5G network slicing, it meets the differentiated network support for different payloads of the \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Requirements** & & & & & \\
**Framework** & & & & & \\ \hline \multirow{4}{*}{Business need} & Intelligence data collection & High-bandwidth information transmission pathway & Drone cluster control operations & Intelligence data analysis & Security posture analysis and prediction \\  & Multi-source information detection and acquisition capabilities & Offloading of unmanned equipment data in transit & Automated UAV Obstacle Avoidance and Collaboration & Knowledge- enhanced implicit association of data & Multi-modal data alignment and prediction \\  & Drones or unmanned vehicles with various types of payloads & 5G mobile networks and MEC systems & Separation of data plane and control plane & Large Model Attached Knowledge Graph & large model inference \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Needs analysis framework. Figure 4: Multi-view model. same UAV and realizes the logical network exclusivity for multiple services. With MEC as the server entity of each layer node, it is suitable for the edge deployment of most common software and large models, and meets the needs of data fusion and situation analysis. The rest of the network-entry equipment uses protocol converters and other transitional means to access the 5G private network to meet the needs of various types of intelligent terminals in the emergency and disaster relief region for network entry. As shown in Figure 5, a 5G macro base station, a central cloud server, and various business applications are deployed on the side of the emergency rescue command center. The 5G macro base station provides wireless network coverage for the command center and connects to the micro base station on the edge side of the mission through a fiber optic cable network through multiple hops to achieve the return of data from the edge as well as the distribution of the results of the processing. The central cloud server deploys the drone flight control, AI large model, image rendering, video rectification, preset algorithms, and other general emergency rescue business applications on the center cloud server. On the edge side of the mission, 5G micro base stations and Mobile Edge Computing servers are deployed, and the edge cloud is established by emergency communication vehicles or existing communication nodes to carry drone control signaling in the control plane of the 5G network, carry drone business data streams in the user plane, and allocate network resources for various types of services based on 5G network slicing. Data in the rescue area are offloaded to the edge cloud to complete lightweight data processing services. In the rescue area, a 5G private network is constructed based on the existing network information infrastructure in the field. If the network is interrupted, the communication vehicle carries a vehicle-mounted base station, the drone carries a lift-off base station, and the rescuer carries a backpack base station for network formation, providing high-speed network access for intelligent devices, drones, unmanned vehicles in the rescue area, etc. Because of the difference in network standard, some specialized rescue devices use the strategy of deploying protocol converters on the side of the micro base station to realize network access and ensure that the devices in the mission area are all in the same mission-specific network. The network access is realized by deploying protocol converters on the micro base station side to ensure that the devices in the mission area are in the same mission-dedicated network.