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ExView: A Real-time Collaboration Environment for Multi-ship Experiments

机译：exview：多船实验的实时协作环境

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New challenges in the area of experimental logistics, data visualization and data fusion are encountered in oceanographic research when the need to keep track of the location of multiple ships, moorings, gliders, drifters, and other platforms is combined with assimilating supporting data gathered off the Internet and inserted into the experimental framework. Showing that this can be done well is a start towards our being able to think of scientific expeditions on research vessels as deployable ocean observatories. Researchers at the Woods Hole Oceanographic Institution recently collaborated with the Rutgers University Coastal Ocean Observing Lab (COOL) and other members of the Shallow Water '06 experiment (sponsored by the US Office of Naval Research) in the creation of a new software tool called ExView. This Experiment Viewer software is a web-based application that runs on ships and on shore. It enables coordinated, real-time collaboration between researchers employing a number of different research platforms involved in a large-scale experiment. During the SW06 experiment, logistics information and scientific reports associated with twenty-five Principal Investigators, six ships, eight gliders, three REMUS class AUVs, sixty-two moorings, two aircraft, and four drifting moorings were all made available to researchers in near-real-time over a three month time-period during the summer of 2006. A primarily wireless communications network comprising of HiSeasNet (satellite), SWAP (shipboard WiFi), SeaNet (INMARSAT-B), and the Global Internet was used to synchronize websites (5 on ships, 1 on shore) so that all participants of the experiment could contribute and monitor platform locations, ship tracks, glider tracks, aircraft tracks, daily reports, weather information, CODAR imagery, satellite imagery, and ocean model results. A dynamic website was mirrored between all of the ships involved in the SW06 experiment. A map at the center of the web display showed location and tracks of all platforms (ships, moorings, planes, gliders, etc.) and the logistics-related information available from each of them. As ships wandered in and out of wireless range of each other, they updated each others' websites (even though Internet access might not have been available to the ship at that time). A shore-based website was also updated regularly by ships that had satellite connections back to the Internet. Participants on shore (and on each ship) were able to use the website to browse back in time to see the location and status of mobile platforms, science reports that were submitted each day, and data from a number of standard data sensors collected by each of the ships throughout the experiment. A shore-based team at the Rutgers University Cool Lab provided daily reports with graphics such as water temperature profiles, hurricane reports, satellite imagery, weather reports, wind speed profiles, etc. They also provided an analytic analysis of these elements and how they related to the current experiment plans. In addition, Rutger's staff used the ExView application to monitor the locations of their fleet of gliders and steer them to avoid moorings and other fixed and mobile assets in the area. An emerging technology called Delay-Tolerant Networking (DTN) is being examined for inclusion in the ExView software suite. The current DTN design promises tighter integration of wireless technologies and the development of new algorithms capable of routing data via mobile platforms based on available bandwidth, remaining battery power, platform location, data priority, etc. These characteristics will be incorporated into new optional routing algorithms that will be developed in the future as part of DTN. The successful 3-month use of ExView shows how a novel, near-real-time, web-based application can be used to improve access to logistics information about a collection of ships, other research platforms, investigators, data sensors, and related data sourc
机译：在实验物流领域，数据可视化和数据融合领域的新挑战在海洋学研究中遇到了追踪多艘船，停泊，滑翔机，漂移器和其他平台的位置，与吸收支持数据相结合互联网并插入实验框架。表明这可以很好地完成，这是我们能够考虑研究船只的科学探险作为可部署的海洋观察员的开始。伍兹洞海洋学院的研究人员最近与Rutgers大学沿海海洋观测实验室（酷）和其他浅水区的其他成员（海军研究办公室赞助）创建了一个名为exview的新软件工具。该实验Viewer软件是一种基于Web的应用程序，在船上和岸上运行。它能够在采用大规模实验中涉及许多不同的研究平台之间的研究人员之间协调，实时合作。在SW06实验期间，物流信息和科学报告与二十五名主要调查人员相关，六艘船，八个滑翔机，三个雷姆斯类AUV，六十二架停泊，两架飞机和四个漂移的系泊都是可供使用的 - 2006年夏天的三个月时间实时。主要是无线通信网络，包括HISEANET（卫星），交换（船上WiFi），SeAreet（Inmarsat-B），以及全球互联网用于同步网站（5艘在船上，岸上1），使实验的所有参与者可以贡献和监控平台地点，船舶轨道，滑翔机轨道，飞机轨道，日常报告，天气信息，密码图像，卫星图像和海洋模型结果。在SW06实验中涉及的所有船舶之间镜像动态网站。网络显示中心的地图显示了所有平台（船舶，停泊，飞机，滑翔机等）的位置和曲目，以及每个平台上的物流相关信息。由于船舶在彼此的无线范围内徘徊，因此它们更新了彼此的网站（即使Internet访问当时可能没有上网）。船舶的船舶也经常使用卫星连接返回互联网的船舶更新。岸上的参与者（每艘船上）都能够使用该网站浏览到时间，以查看移动平台的位置和状态，每天提交的科学报告，以及来自每个日的许多标准数据传感器的数据在整个实验中的船只。 Rutgers大学Cool Lab的一支基于岸线的团队提供了每日报告，图形如水温型材，飓风报告，卫星图像，天气报告，风速简介等。它们还提供了对这些元素的分析分析以及它们与如何相关的分析目前的实验计划。此外，Rutger的员工使用前视申来监视滑翔机队列的位置，并引导它们以避免在该地区的停泊和其他固定和移动资产。正在检查一种名为延迟网络（DTN）的新兴技术，以包含在exview软件套件中。当前的DTN设计有利于无线技术的更紧密集成，以及基于可用带宽，剩余电池电量，平台位置，数据优先级等通过移动平台开发新算法的开发。这些特性将结合到新的可选路由算法中将来将来发展为DTN的一部分。成功的3个月使用前景显示了一种新颖，近实时，基于Web的应用程序可用于改善对有关船舶集合，其他研究平台，调查员，数据传感器和相关数据的物流信息的访问奴隶制

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