"Fleet-Vision" Ship performance analytics and decision support tool

该项目帮助小型商业船只的运营商，即海上船员船、风电场船员转运船、客运渡轮、拖船、引航员、巡逻船和工作船，降低运营成本和碳足迹/排放，以应对越来越多的立法和客户压力，要求以更少的成本提供更多的服务。该项目建立在Reygar现有的“BareFLEET”远程监控技术的基础上，利用了造船商/船东企鹅国际公司的船舶设计和船队运营经验。结果将是一个智能性能分析和决策支持工具“Fleet-Vision”。该工具将由持续的船舶性能测量和船员日志数据驱动，利用人工智能和机器学习数据分析技术。它将是一个多功能工具，为不同类型的小型商业船舶运营商提供好处。在项目期间，该系统将在项目合作伙伴企鹅国际运营的船舶上进行广泛测试。

The project helps operators of small commercial boats, i.e. offshore crewboats, wind farm crew transfer vessels, passenger ferries, tugs, pilot, patrol and work-boats, reduce their operating costs and carbon footprint/emissions, against a backdrop of increasing legislative and customer pressure to deliver more for less. The project builds on Reygar's existing "BareFLEET" remote monitoring technology, harnessing the vessel design and fleet operational experience of shipbuilder/owner Penguin International.The outcome will be an intelligent performance analytics and decision support tool "Fleet-Vision". The tool will be driven by continuous vessel performance measurements and crew log data, harnessing AI and machine learning data analysis technologies. It will be a versatile tool that offers benefits to different types of small commercial vessel operators. During the project, the system it will be tested extensively on vessels operated by project partner Penguin International.