Abstract: With the in-depth study on the Unmanned Aerial Vehicle （UAV） swarm intelligence technology and the application of unmanned bee UAV swarm system in the military field， it is urgently needed totest and evaluate the core capabilities of the system， such as combat tactics， technical indicators and UAV swarm intelligence algorithms. In order to change the high cost and difficult verification status quo of relying solely on practical tests， it is necessary to explore the task-based digital simulation deduction method for typical combat scenarios， and build a simulation evaluation method to improve the combat effectiveness of the UAV swarm system. In view of the status quo and applications of the existing unmanned bee colony technology， this paper constructs a typical combat scenario of the unmanned bee colony system， develops a task-based simulation platform extension tool， and establishes an environmental element model and an entity model. In combination with the purpose of the bee swarm combat effectiveness evaluation， the assessment index system is developed， the evaluation calculation model is derived， an evaluation method for the combat effectiveness of the UAV swarm is developed and the all-process simulation deduction is carried out. The combat results of the bee colony system are derived based on the Monte Carlo convergence results. With the simulation and evaluation method for the UAV swarm system proposed in this paper， the combat capability evaluation generation and evaluation link of “military requirements-system combat simulation-combat effectiveness evaluation” are preliminarily established.

Key words: UAV swarm system simulation, simulation scene construction, system simulation deduction, simulation test design, efficiency evaluation