内河重点水域自主船舶数智航行体系架构与演进范式OA

[Objectives]This paper provides a comprehensive review of the current research status of intelli-gent inland vessels,systematically analyzes the development of autonomous navigation technologies for in-land ships,and identifies the key challenges and technical bottlenecks associated with autonomous navigation in critical inland waterways.[Methods]Based on the multi-space architecture of digital-intelligent mechan-ics,a novel paradigm for digital-intelligent navigation of autonomous inland vessels is proposed.This paradigm integrates theoretical modeling,physical experimentation,simulation-based computation,big data analytics,and artificial intelligence.[Results]A digital-intelligent navigation theoretical framework for au-tonomous ships operating in critical inland waterways is established,revealing the underlying mechanisms of core concepts such as cross-space dynamic modeling,nonlinear intelligent computing,and cross-domain trans-fer learning.Furthermore,a"ship-shore-cloud"collaborative cloud-control testing platform architecture is de-veloped,providing a theoretical approach to overcoming the limitations of traditional single-physical-space modeling in complex inland environments.[Conclusion]The development directions of navigation tech-nologies and theoretical frameworks for autonomous inland vessels in the era of intelligent navigation are out-lined,providing theoretical foundations and technical support for the continued advancement and engineering implementation of next-generation autonomous navigation systems.