Distributed data and computing system on an ROV designed for ocean science

M. Chaffey, A. Pearce, R. Herlien
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引用次数: 10

Abstract

MBARI is currently developing an electrically propelled remotely operated vehicle (ROV) designed to carry science payloads to 4000 meters ocean depth. Mission requirements for accurate navigation, precision maneuvering and extensive sensor capabilities place large demands on the data gathering and control system. The ROV must operate reliably in an extremely hostile ocean environment while retaining enough flexibility to support varied scientific missions for a decade or more. An ROV system architecture has been implemented that incorporates Hewlett Packard UNIX workstations, shipboard and vehicle mounted VMEbus and microcontroller based computers all linked to form a distributed data gathering and control network. In-water tests of the ROV have shown that a distributed, multiple processor system shows promise as a practical solution for interfacing the large number of sensors and actuators on a research ROV and provides considerable system adaptability.<>
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海洋科学用ROV分布式数据与计算系统
MBARI目前正在开发一种电动远程操作车辆(ROV),旨在将科学有效载荷携带到4000米的海洋深度。对精确导航、精确机动和广泛传感器能力的任务要求对数据收集和控制系统提出了很大的要求。ROV必须在极端恶劣的海洋环境中可靠地运行,同时保持足够的灵活性,以支持十年或更长时间的各种科学任务。ROV系统架构将惠普UNIX工作站、船载和车载VMEbus以及基于微控制器的计算机连接在一起,形成分布式数据收集和控制网络。ROV的水下测试表明,分布式多处理器系统有望成为一种实用的解决方案,用于在研究ROV上连接大量传感器和执行器,并提供相当大的系统适应性
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