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How Autonomy and Advanced Control Significantly Increase the Capabilities of Observation-class ROVs

机译:自主和先进的控制如何显着增加观察级ROV的能力

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Now more than ever, observation-class ROV operators are finding automation and advanced vehicle control provide them the tools needed to allow them to perform their jobs more efficiently and deliver customers greater capabilities. The demand for observation-class ROVs is growing, manufacturers have met the demand, now technology must deliver tools to aid the operation of these complex systems. Three primary technologies are required to deliver greater performance for this class of vehicles now: integrated operator interfaces, advanced vehicle control functions, and autonomy. The effectiveness and intuitiveness of the operator interface is critical to the success of observation-class ROVs because with greater payloads and mission scope, operators have more to manage. Advanced control functions, such as autopilots, dynamic positioning, and sonar or vision-based target-relative control are critical because they provide vehicle stability and ROV performance exceeding traditional operating modes. Automation gives personnel the opportunity to pre-plan dives and execute jobs proficiently, consistently, and repeatably. The most effective implementations of this technology, like the control system developed by Greensea Systems, will employ a comprehensive solution for pilots that fuses sensor data, vehicle data, navigation, and control into a single, easy-to-use workspace.
机译:现在,观察级ROV运营商正在寻找自动化和先进的车辆控制,为他们提供更有效的工具,为他们提供更有效的工具,并为客户提供更大的能力。对观察级ROV的需求增长,制造商已经达到了需求,现在技术必须提供工具来帮助这些复杂系统的运作。现在需要三种主要技术为这类车辆提供更大的性能:集成的操作员接口,高级车辆控制功能和自主权。操作员界面的有效性和直观对观察级ROV的成功至关重要,因为具有更大的有效载荷和使命范围,运营商更多地管理。先进的控制功能,如自动驾驶仪,动态定位和声纳或基于视觉的目标相对控制是至关重要的,因为它们提供了超出传统操作模式的车辆稳定性和ROV性能。自动化使人员有机会预先计划潜入并熟练,一贯,始终如一地执行工作。与Greensea系统开发的控制系统一样,这项技术的最有效的实现将采用全面的试点解决方案,该方法将传感器数据,车辆数据,导航和控制融合到单个易于使用的工作空间中。

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