针对大规模灾害的路线设计新算法

Takuma Tsubaki, M. Ishizuka, S. Yasukawa
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引用次数: 3

摘要

由于2011年东日本大地震,连接电话交换局(teo)的中继电缆(物理路由)被切断,teo之间的通信中断。路由使用光加丢多路复用器(OADM)组成环形网络。由于未来可能会发生大规模地震,因此必须设计抗灾路线,假设这些路线是重叠在灾区的短路线。除了这种阻力外,路线设计者还应考虑进入人孔的便利性,管道维护的便利性和成本。要做到这一点,路线设计者需要从大量穿越灾区的teo之间的路线中选择一条路线。候选路线是满足上述条件的一组路线,它们都经过灾区的上、中、下三个部分。经过灾区上部和下部的路线成为抗灾路线,经过灾区中部的路线成为最低成本路线。路线设计者需要消除跳跃路线,这种路线绕过的灾难长度超过我们所关注的灾难长度,而类似的路线穿过许多相同的管道,不是最具抗灾性的路线。为了计算候选路由,我们提出了一种算法,该算法将一个区域划分为更小的区域(网格),并使用极有可能包含抗灾路由的网格组合。我们报告了利用实际海啸和液化数据的算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new algorithm of route design against large-scale disasters
Due to the 2011 Great East Japan Earthquake, relay cables (physical routes) connecting telephone exchange offices (TEOs) were disconnected and communication between TEOs ceased. Routes compose a ring network using an optical add-drop multiplexer (OADM). Since large-scale earthquakes will likely occur in the future, we must design disaster-resistant routes, which are assumed to be short routes overlapping disaster areas. In addition to this resistance, route designer should also consider ease of accessing manholes, ease of pipelines maintenance, and cost. To do this, the route designer needs to select a route from a huge number of routes between TEOs that pass through a disaster area. Candidate routes, which are a set of routes satisfying the above conditions, all go through the upper, middle, and lower parts of a disaster area. The routes which go through the upper and lower parts of a disaster area become disaster- resistant routes, and the routes which go through the middle part become minimum-cost routes. The route designer needs to eliminate jumping routes, which bypass more than the length of the disaster which we focus on and similar routes, which pass through much of the same pipeline and are not the most disaster- resistant route. To calculate candidate routes, we proposed the algorithm that divides an area into smaller areas (meshes) and uses mesh combinations that are highly likely to contain disaster resistant routes. We report the effectiveness of our algorithm utilizing actual tsunami and liquefaction data.
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