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An Active Real-Time System for Oil Spill Detection and Information Distribution

机译：一种用于漏油检测和信息发布的主动实时系统

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摘要

That oil spills are quickly reliably detected and the oil spill information is distributed to related users or emergency responders in real-time is very important in oil spill response and contingency planning. Laser Fluorosensors, such as the Scanning Laser Environmental Airborne Fluorosensor (SLEAF) sensor operated by Environment Canada, are among the most appropriate sensors for oil spill surveillance. In this paper, a reliable classification scheme is proposed for oil spill detection based on SLEAF data. Event-driven architecture can automatically notify and push information to related users, so it is suitable for developing active real-time information distribution system, such as emergency response system. Since oil spill information is spatially related information, a geospatial-based publish/subscribe model, which extends the function of general publish/subscribe model in event-driven system and can process geospatial subscriptions and events, is proposed. At last, based on the oil spill detection methods, even-driven architecture and geospatial-based publish/subscribe model, an active real-time system for oil spill detection and information distribution has been implemented.
机译：快速可靠地检测出溢油，并将溢油信息实时分发给相关用户或应急人员，这在溢油响应和应急计划中非常重要。激光含氟传感器，例如加拿大环境部（Environmental Canada）运营的Scanning Laser Environmental Airborne Fluorosensor（SLEAF）传感器，是最适合漏油监控的传感器之一。本文提出了一种基于SLEAF数据的漏油检测可靠分类方案。事件驱动的体系结构可以自动将信息通知并推送给相关用户，因此它适合开发主动的实时信息分发系统，例如紧急响应系统。由于溢油信息是与空间相关的信息，因此提出了一种基于地理空间的发布/订阅模型，该模型扩展了事件驱动系统中一般发布/订阅模型的功能，并且可以处理地理空间订阅和事件。最后，基于漏油检测方法，均匀驱动的体系结构和基于地理空间的发布/订阅模型，实现了一种用于漏油检测和信息发布的主动实时系统。

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