Evaluation Index System for Operational Safety of Reconnaissance-Strike UAV

In the high-intensity confrontational environments of modern battlefields, the Reconnaissance-Strike UAV faces a wide range of safety threats during operation, primarily due to its high degree of system integration and the complexity of its mission profiles. This paper adopts the “Man-Machine-Environment-Management-Task” (MMESE) systems engineering model as the analytical framework, and integrates the hierarchical defense theory from the Swiss Cheese Model. From five key dimensions—human factors engineering, platform performance, operational environment, command and control management, and mission characteristics—this study constructs an Index System for evaluating the Operational Safety of Reconnaissance-Strike UAVs. The system comprises four core levels (GCS Operators, UAV platform, flight environment, and flight missions), twelve key indices (including platform system safety, natural environment safety, and anti-suppression and resistance to Suppression-Based Jamming), and thirty-four fundamental indices (such as flight platform safety, adaptability to severe weather, and anti-communication jamming capability). Furthermore, this paper conducts a quantitative analysis of these operational safety indicators, aiming to provide both theoretical support and methodological guidance for ensuring the operational safety of Reconnaissance-Strike UAVs.