在易地震地区的通信基站的可靠性预测和评估
Xueming Li1, Yao Wei2,3, Zheng Ming1
1College of Information Engineering, Xizang Minzu University, Xianyang, 712082, China.
Scientific reports
|June 2, 2023
概括
一种新的物流方法使用地质和建筑数据准确预测地震通信基站故障. 这种方法通过识别易受伤害的基站来改善灾难救援通信,优于神经网络预测.
科学领域:
- 灾害管理 灾害管理
- 电信工程 电信工程 电信工程
- 地质技术工程 地质技术工程
背景情况:
- 有效的灾难救援取决于强大的通信系统,特别是在灾难性的地震之后.
- 基站故障严重破坏了地震后的通信网络.
- 准确预测基站故障对于维护通信基础设施至关重要.
研究的目的:
- 提出一种简单的物流方法,用于预测地震后情景中的基站故障.
- 用地质和建筑结构参数评估预测准确度.
- 将拟议的方法与现有的物流和神经网络方法进行比较.
主要方法:
- 开发了一个包含地质和建筑结构数据的双参数物流模型.
- 利用来自中国四川的地震后基站数据进行模型培训和验证.
- 用多参数物流模型和神经网络方法比较预测结果.
主要成果:
- 双参数后勤方法实现了96.7%的预测准确度,超过了全参数集 (90%) 和神经网络 (93.3%) 方法.
- 重量参数分析表明,地质差异是地震后基站故障的主要原因.
- 拟议的方法在预测基站故障方面表现出卓越的准确性.
结论:
- 双参数物流方法为地震后基站故障预测提供了一个高度准确和有效的方法.
- 地质因素是基站抗震能力的关键决定因素.
- 该方法可以扩展到复杂条件下的通信基站评估以及在地震易发地区的选址.
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