Research on multi granularity underwater situation awareness through virtual physics of artificial intelligence

Abstract

On the basis of analyzing the development of underwater multi-platform cluster variable granularity situational awareness, this paper studies the system of systems and the synchronization of spatiotemporal evolution for multi granularity underwater situation awareness. Virtual physical artificial intelligence theory and method for multi granularity underwater situation awareness are proposed to establish the dynamic virtual physical neural network embedded with interpretation models of context and knowledge. Driven by spatiotemporal data and context information, multi granularity underwater situation awareness and synchronous situation evolution analysis across domains are realized to make collaborative intelligent decisions for underwater offensive and defensive confrontation tasks. Theoretical analysis and numerical results show that multi granularity underwater situation awareness and synchronous situation evolution analysis can enhance information superiority by integrating cluster resources, with optimal involved functional domains and space-time scales. Our approach can provide a theoretical basis and technical reference for the construction and development of underwater all-around attack and defense systems.

Keywords

• underwater attack and defense systems|physical neural network|situation awareness|situation evolution