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首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model
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Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model

机译：通过半监督概率模型考虑成本最小化和地震生存能力的布线路线选择

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摘要

This paper focuses on an important and fundamental problem of connecting two points by a cable, subject to a tradeoff between cost and earthquake survivability. In particular, we address the problem of selecting a route for laying a cable under arbitrary topography, based on earthquake data. First, we derive a semi-supervised probability density estimation model for the likelihood of earthquake disaster. Based on this probabilistic model, we generate a nearest neighbor graph. The graph represents each data point with a four-dimensional space formed by the three-dimensional undersea coordinates and the one-dimensional data of earthquake disaster level. It then forms the weight on graph between any positions. The data used in this study are all real data of undersea topography and earthquake information of the Taiwan Strait. As a result, both the undersea topology and the earthquake level can be transferred into a distance for shortest route finding. Finally, Dijkstra's algorithm is used for finding the optimal shortest route for cabling between the two given points on the graph. Extensive simulations based on a synthetic dataset and the Taiwan Strait real-world dataset corroborate the effectiveness of the proposed method.
机译：本文关注的是通过电缆连接两个点的重要而基本的问题，需要在成本和地震可承受性之间进行权衡。特别是，我们解决了基于地震数据选择在任意地形下铺设电缆的路线的问题。首先，我们推导了地震灾害发生可能性的半监督概率密度估计模型。基于此概率模型，我们生成一个最近邻图。该图用三维海底坐标和地震灾害级别的一维数据形成具有四个空间的每个数据点。然后，它在任意位置之间的图形上形成权重。本研究中使用的数据均为台湾海峡海底地形和地震信息的真实数据。结果，可以将海底拓扑结构和地震级别转移到一段距离中，以最短地找到路线。最后，使用Dijkstra算法找到图上两个给定点之间布线的最佳最短路径。基于综合数据集和台湾海峡真实世界数据集的大量仿真证明了该方法的有效性。

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