A Method for Predicting the Usability of Optical Cable Based on Combination Model

Guijin Xia, K. Dang, Weihu Zhao, Ningyan Wang, Feng Wang
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Abstract

A combination model predicting the optical cable loss is built by combining three different models, as the grey model, the 3-order exponential smoothing model and the neural network model, by using weighting coefficient. The simulation result and the prediction error calculation show that the combination model has high accuracy to predict the optical cable loss. And then, based on the combination prediction model, a method for evaluating the cable's usability is proposed. The method contains two important parameters as the maximum length of the relay section and the range of allowable loss in the cable line. To assess whether the cable line is available these two evaluation indices must be synthesized to consider. Only when both of two standards are met, the cable line's availability is strong. If one of the standards does not meet the requirements of the network construction and equipment upgrade, technical measures can be taken to enhance the cable performance and improve the availability of optical cable.
基于组合模型的光缆可用性预测方法
采用加权系数法,将灰色模型、三阶指数平滑模型和神经网络模型相结合,建立了预测光缆损耗的组合模型。仿真结果和预测误差计算表明,该组合模型对光缆损耗的预测具有较高的精度。然后,在组合预测模型的基础上,提出了一种评价电缆可用性的方法。该方法包含两个重要参数,即继电器段的最大长度和电缆线路的允许损耗范围。评价电缆线路是否可用,必须综合考虑这两个评价指标。只有同时满足这两个标准,电缆线路的可用性才会很强。当其中一项标准不能满足网络建设和设备升级的要求时,可采取技术措施提高光缆的性能,提高光缆的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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