基于无人机地面站的自主健康管理技术研究

Research on Autonomous Health Management Based on UAV Ground Sation

建立无人机智能信息系统实现无人机健康检测和健康管理的应用已经成为衡量无人机智能程度的一个指标。面临通用无人机地面站面向服务的体系架构，要实现无人机自主健康管理，在一定意义上，提供实时在线诊断，对故障进行定位并根据故障等级进行告警，并为操作人员提供建议，有效减轻操作人员的负担，为无人机地面站对无人机操控时提供安全保障；故障隔离角度出发，提高自主决策能力和为管理策略提供支撑；根据历史数据建立故障库，实现离线深度学习，替换零件或修复工作便能以最优的方式做出计划安排，减少整个操作和后勤的部署。

The establishment of UAV intelligent information system to realize UAV health detection and health management has become a measure of UAV intelligence. Facing the service-oriented architecture of the univer- sal UAV ground station, it is necessary to realize the independent health management of the UAV, in a certain sense, it provides real-time online diagnosis, locates the fault and alarms according to the fault level, and gives suggestions for the operators, which provides security for the UAV ground station to control the UAV. From the perspective of fault isolation, UAV health detection and health management have improved the ability to make decisions independently and provide guarantee for management decisions. The fault library was established ac- cording to the historical database to realize of/line deep learning, replace parts or repair work can be optimally planned, which reducing deployment in the whole operation and logistics.