论文标题

对自动船的未来海洋交通管理系统的前景

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

论文作者

Martelli, Michele, Virdis, Antonio, Gotta, Alberto, CassarÀ, Pietro, Di Summa, Maria

论文摘要

在运输数字化过程中,将随着完全自主和同时安全可靠的船的出现而达到峰值。可以通过代表船舶导航员和具有感应和分析技能,情境意识,计划和控制能力的船舶工程师的两个链接的人工智能系统获得完整的自主权。在开发板载系统方面已做出了许多努力。但是,海岸设施尚未准备好处理这些新技术。该论文旨在介绍开发未来派船舶交通系统所需的创新技术和方法。拟议的系统将旨在旨在完美的数据获取和处理,为决策系统提供意见,并提出回避操作;处理危险和系统故障而无需在船上进行人工干预。该系统由三个不同的相互作用层组成。首先是一种人为智能的工具,可以通过情况认可和避免障碍策略来检测和控制自主船。第二个是一个编排和管理平台,旨在协调传感实施基础架构和AI算法结果,由多艘船,召集边缘和分布式计算技术提供,以满足海洋环境的特定苛刻要求。最后一部分是一个整体的指导 - 游动控制框架,用于管理拥挤区域的自动船舶导航。最终,建议使用数字二线和真实模型规模的船舶进行网络物理场景,以测试和验证创新系统,而无需使用全尺度方案。

In the shipping digitalisation process, the peak will be reached with the advent of a wholly autonomous and at the same time safe and reliable ship. Full autonomy could be obtained by two linked Artificial-Intelligence systems representing the ship navigator and the ship engineer that possess sensing and analysis skills, situational awareness, planning, and control capabilities. Many efforts have been made in developing onboard systems; however, the shore facilities are not ready yet to deal with these new technologies. The paper aims to present the innovative technologies and methodologies needed to develop a futuristic Vessel Traffic System. The proposed systems will aim at faultless data acquisition and processing, provide input to decision-making systems, and suggest evasive manoeuvre; to deal with hazards and systems failure without human intervention onboard. The system is composed of three different and interacting layers. The first is an artificially intelligent tool to detect and control autonomous ships, thanks to situation recognition and obstacle avoidance strategies. The second is an orchestration and management platform designed to coordinate the sensing-actuation infrastructure and the AI algorithms results made available by multiple ships, mustering edge, and distributed computing techniques to fulfil the specific harsh requirements of the sea environment. The final part is a holistic guidance-navigation-control framework to manage autonomous ships navigation in a crowded area. Eventually, a cyber-physical scenario, using both a ship digital-twin and a real model-scale ship, is suggested to test and validate the innovative system without the availability of a full-scale scenario.

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