Due to the particularity, complexity and impalpability of the underwater equipment's working environment, in order to realize real-time monitoring and analysis of the underwater equipment movement status and accurately describe the movement characteristics, this paper introduces the underwater equipment digital twin system developed based on Unity3D and reinforcement learning technology. The system is used to simulate the underwater vehicle operation in dynamic and complex environmental scenarios. The results show realistic simulation, good user experience, multi-perspective and real-time.
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