The maritime industry is experiencing a technological revolution that affects shipbuilding, operation of both seagoing and inland vessels, cargo management, and working practices in harbors. This ongoing transformation is driven by the ambition to make the ecosystem more sustainable and cost-efficient. Digitalization and automation help achieve these goals by transforming shipping and cruising into a much more cost- and energy-efficient, and decarbonized industry segment. The key enablers in these processes are always-available connectivity and content delivery services, which can not only aid shipping companies in improving their operational efficiency and reducing carbon emissions but also contribute to enhanced crew welfare and passenger experience. Due to recent advancements in integrating high-capacity and ultra-reliable terrestrial and non-terrestrial networking technologies, ubiquitous maritime connectivity is becoming a reality. To cope with the increased complexity of managing these integrated systems, this article advocates the use of artificial intelligence and machine learning-based approaches to meet the service requirements and energy efficiency targets in various maritime communications scenarios.
翻译:海运业正在经历一场技术革命,影响到船舶的建造、海运和内陆船只的运营、货物管理和港口的工作做法,这一持续转变的驱动力是使生态系统更可持续和更具成本效益的雄心壮志,数字化和自动化通过改变航运和朝向更具有成本效益和能源效益及去碳化工业部分,帮助实现这些目标。这些过程中的主要推动因素始终是连接和内容交付服务,这不仅能帮助航运公司提高其运营效率和减少碳排放,而且还能促进船员福利和乘客经验的提高。由于最近在整合高容量和超可靠陆地和非地球网络技术方面取得的进展,无处不在的海上连通性正在成为现实。为了应对管理这些综合系统日益复杂的问题,本文章主张使用人工智能和机器学习方法来满足各种海洋通信情景中的服务要求和能源效率目标。