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Autonomic computing technology for autonomous marine vehicles

机译：自主航海车辆的自主计算技术

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Autonomous Marine Vehicles (AMVs) are not only being required to carry out more complex tasks but also longer missions. This mainly requires effective resilient operation and efficient resource management to succeed in persistent presence at sea or ocean with minimal human interaction while maintaining seakeeping performance. Even though some of the current AMVs have a large degree of self-governance, most of them fail to support self-management (e.g. auto-maintenance during pre/in/ post-mission phases). Autonomic Computing (AC) basically provides the following self-managing capabilities: self-healing, self-protecting, self-optimizing, and self-configuring. In addition, it provides systems with self-aware, self-adjusted, and self-situated abilities. AC comes from a biological metaphor based on the self-regulating capabilities of the autonomic nervous system in the human body. This paper introduces the AC concept to control architectures of AMVs to endow them with resilience and environmental efficiency. The above capabilities are to help persistent autonomy and automation endure over complex and long AMV operations. This paper presents the architectural aspects, and details of design and realization of this promising AC-based approach. It also discusses four key aspects from existing methodologies and technologies that are potential approaches to support the autonomic control architecture proposed for AMVs. Finally, future research directions are presented.
机译：不仅需要自动驾驶飞行器（AMV）执行更复杂的任务，而且还要执行更长的任务。这主要需要有效的弹性操作和有效的资源管理，才能在维持海洋维护性能的同时，以最少的人为干预在海上或海洋中持续存在。即使当前的一些AMV具有高度的自治能力，但大多数都无法支持自我管理（例如，任务前/任务中/任务后阶段的自动维护）。自主计算（AC）基本上提供以下自我管理功能：自我修复，自我保护，自我优化和自我配置。此外，它还为系统提供了自我意识，自我调整和自我定位的能力。 AC来自生物隐喻，其基于人体自主神经系统的自我调节能力。本文介绍了AC概念来控制AMV的体系结构，以赋予其弹性和环境效率。以上功能旨在帮助持久的自治和自动化在复杂而漫长的AMV操作中持久化。本文介绍了这种有前途的基于AC的方法的体系结构方面以及设计和实现的详细信息。它还讨论了来自现有方法和技术的四个关键方面，它们是支持为AMV提出的自主控制体系结构的潜在方法。最后，提出了未来的研究方向。

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