Driven by the technological advancements and military demands， unmanned aerial vehicle （UAV） swarm warfare has emerged as a disruptive new style of warfare that can change the rules of engagement. Fierce competition has unfolded among major military powers around "swarm technologies and tactics". The concept and advantages of UAV swarm operation are introduced， and the development of the swarm operation types abroad is summarized. Based on the shortages and restrictions of conventional military equipment， the anti-swarm operation and explores the development direction of anti-swarm equipment and technology is analyzed. A dynamic kill chain construction strategy is put forward to solve the problem of inadequate application of adequate anti-swarm approaches and theories， and achieve systematic confrontation by comprehensively using a variety of anti-UAV swarm equipment in the future，laying the solid foundation for the development of the systematized anti-swarm operation.

In order to improve the support efficiency of spare parts for training equipment of space test forces， based on the idea of aerospace civil-military integration， an inventory model of spare parts for training equipment of space test forces based on information sharing and cross-level direct supply is proposed， and the existing spare parts inventory process is optimized to some extent. General to both is regarded as a system for the overall modeling， publishes a win-win goal， combined with the case fusion system dynamics simulation method，the current inventory model and the model proposed in this paper are simulated and analyzed. The results show that the inventory model established in this paper can effectively reduce the delay time of spare parts support and reduce the excessive production and storage of suppliers.It can achieve a win-win situation for both military and civilian in terms of improving spare parts support efficiency and reducing economic cost， and provide reference for improving spare parts support capability of training equipment of space test forces and promoting training level.

With the continuous development of electronic information technology， the integration and complexity of radar products are increasing， and the materials delivered by the product are difficult to guide the user to troubleshoot the product failures comprehensively and effectively. Furthermore， in the process of product usage， a large amount of fault data have not been effectively utilized. The data-based rapid troubleshooting technology for radar products uses a large amount of usage data of radar products as the main input， using hierarchical reasoning to aggregate search technology models， starting with the hierarchical structure of radar products， analyzing the relationship between functional failures and system failures， and using the propagation path of the directed graph to form a fault correlation matrix. Based on the fault correlation matrix， the technology infers effective troubleshooting strategies through the input of fault phenomena and other data， and forms guidance documents in the form of troubleshooting guides to guide users to quickly locate faults， solve problems， and improve uses’ own troubleshooting capability.