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A Practical Fog Detection and Dissipating System for the Preventing Fog Hazards of the Long-Span Bridge

机译:实用的大跨桥防雾隐患检测与消散系统

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摘要

A transportation development in recent years is quite remarkable. The occurrence and prediction ofrnfog have been significant operational issues for quite some time, particularly with regard torntransportation. A poor visibility arose from heavy fog and high vehicle speeds often causes terriblernaccidents such as Seohae grand bridge’s case at 2006 in Korea. Therefore, It is very important tornquickly detect a fog occurrence, to notify users, and to practically be able to dissipate fog. In thisrnstudy, we have proposed intelligent system to be aware of fog-occurrence, to deliver high intensityrnfog area and to operate fog-dissipating system at the long-span bridge. Well-tailored fog potentialrnindex can be provided to the two types of mobile application for the bridge’s manager and users. Inrnthe case of forecasting high intensity fog through calculated fog potential index, fiber net of farinfraredrnradiation is unfolded to hinder approaching fog and dissipate fog inside the bridge, whichrnresults in increasing more than 300m visibility distance capable to ordinarily drive. We expectrnthis practical system to effectively respond fog hazards in the long span bridge, and have a plan tornstrengthen forecasting method through probabilistic analysis in the future.
机译:近年来,交通运输业发展十分显着。雾气的发生和预测在相当长的一段时间内一直是重要的操作问题,尤其是在雾气运输方面。大雾和高车速引起的能见度很低,通常会导致可怕的事故,例如2006年韩国Seohae大桥的情况。因此,迅速检测起雾,通知用户并实际上能够消散雾是非常重要的。在这项研究中,我们提出了一种智能系统,该系统可以了解雾的发生,传递高强度的雾区域并在大跨度桥梁上运行消雾系统。可以为桥梁的管理者和用户提供两种类型的量身定制的雾势指数。在通过计算出的雾势指数预测高强度雾的情况下,展开远红外辐射的纤维网以阻止接近雾并消散桥内的雾,这导致通常能够行驶的可见距离增加了300m以上。我们希望该实用系统能够有效应对大跨度桥梁的雾霾危害,并计划在未来通过概率分析来加强预报方法。

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