Big data prototype practice for unmanned surface vehicle

Abstract

In recent years, unmanned surface vehicle (USV) has made great progress with the development of communication and electronic technologies. In the future, USVs will be widely used in marine tasks. USV has begun to offer a wide variety of large heterogeneous data sources. The architecture of USV big data is discussed. A prototype system of USV big data is established, and a preliminary anomaly detection application based on isolation forest method is developed. The effective anomaly detection results show that the USV big data prototype system and the anomaly detection application is feasible. The establishment of USV big data system is meaningful and the system can provide effective application services.