Distributed Simulation for Digital Twins: an Application to Support the Autonomous Robotics for the Extended Ship

Francesco Longo, A. Padovano, Lorenzo Caputi, G. Gatti, P. Fragiacomo, Virginia D’Augusta, Simone Talarico
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Abstract

A Digital Twin (DT) helps people enhance their visibility of the system’s current state and understand/predict its behavior under different conditions. The systems being twinned (e.g. defense, manufacturing, logistics, computer and network systems) are typically very complex and require significant effort to model and track. This paper discusses how Distributed Simulation (DS) can support DTs thanks to a network of distributed computing resources. DS can speed up the execution of simulation programs in DTs (and therefore the time taken to analyze the behavior of a system) and link together simulations to support composability and reusability during the development of DTs. A distributed real-time simulation environment based on the IEEE 1516 High Level Architecture Standard (HLA) has been developed in the case of the DT of an Underwater Unmanned Vehicles (UUV), intended to extend the ship capabilities. In this study, major Italian stakeholders, working in the maritime domain, are developing a number of tools and enabling technologies needed for the practical implementation of an extended ship with a fleet of underwater and surface drones and found in the HLA-based DS a perfect solution for a simulation-based DT.
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数字孪生的分布式仿真:一种支持扩展船舶自主机器人的应用
数字孪生(DT)帮助人们增强对系统当前状态的可见性,并理解/预测其在不同条件下的行为。被孪生的系统(例如国防、制造、物流、计算机和网络系统)通常非常复杂,需要大量的努力来建模和跟踪。本文讨论了分布式仿真(DS)如何借助分布式计算资源网络来支持分布式仿真。DS可以加快仿真程序在DTs中的执行速度(从而缩短分析系统行为所花费的时间),并将仿真连接在一起,以支持DTs开发过程中的可组合性和可重用性。基于IEEE 1516高级体系结构标准(HLA)的分布式实时仿真环境已经被开发出来,用于水下无人航行器(UUV)的DT,旨在扩展船舶的能力。在这项研究中,从事海事领域工作的意大利主要利益相关者正在开发许多工具和支持技术,以实际实施带有水下和水面无人机舰队的扩展船,并在基于hla的DS中发现了基于模拟的DT的完美解决方案。
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