论文标题
Robovaas项目的系统架构和通信基础设施
System Architecture and Communication Infrastructure for the RoboVaaS project
论文作者
论文摘要
当前的水上自主系统的进步,以及以云为基础的服务架构的开发,以及最新的低成本水下声学调制解调器和高于水无线设备上方的远距离的可用性,从而实现了支持船舶和港口活动的新应用程序。例如,可以使用无人的地表车辆(USV)来执行测深和环境数据收集任务,以确保摩托艇间隙并监测水质。同样,可以部署远程操作的车辆(ROV)来检查船体和典型的港口基础设施元素,例如码头和板丸墙。在本文中,我们介绍了为机器人船AS-A-Service(Robovaas)项目的小规模演示而部署的完整系统,该项目介绍了一个基于点播的基于服务的云系统,该系统派遣了能够执行所需服务的无人车辆(UVS)。这些容器能够通过在水下和高于水网上的集成的水下和高于港口的传感器进行交互。开发的系统已通过海上试验验证,并通过水下传感器数据收集服务进行了展示。本文提出的测试结果提供了系统设计的概念验证,并表明其技术可行性。它还表明了成熟技术的进一步发展的必要性,该技术允许在实际运营方案中进行按需机器人海事援助服务。
Current advancements in waterborne autonomous systems, together with the development of cloud-based service-oriented architectures and the recent availability of low-cost underwater acoustic modems and long-range above water wireless devices, enabled the development of new applications to support ships and port activities. Unmanned Surface Vehicle (USV) can, for instance, be used to perform bathymetry and environmental data collection tasks to ensure under-keel clearance and to monitor the quality of the water. Similarly, Remotely Operated Vehicles (ROVs) can be deployed to inspect ship hulls and typical port infrastructure elements, such as quay and sheet pilling walls. In this paper we present the complete system deployed for the small-scale demonstrations of the Robotic Vessels as-a-Service (RoboVaaS) project, which introduces an on-demand service-based cloud system that dispatches Unmanned Vehicles (UVs) capable of performing the required service either autonomously or piloted. These vessels are able to interact with sensors deployed in the port and with the shore station through an integrated underwater and above water network. The developed system has been validated through sea trials and showcased through an underwater sensor data collection service. The results of the test presented in this paper provide a proof-of-concept of the system design and indicate its technical feasibility. It also shows the need for further developments for a mature technology allowing on-demand robotic maritime assistance services in real operational scenarios.