从商业微波链接中绘制城市内雨地图 - - 挑战与机遇
Roy Janco1, Jonatan Ostrometzky1, Hagit Messer1
1School of Electrical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
使用现有的智能城市无线网络,可以准确地绘制城市降雨量图. 数据驱动的方法略高于实证模型,特别是在轻雨中,使得高分辨率的2D降雨地图成为可能.
科学领域:
- 环境科学 环境科学
- 电气工程 电气工程
- 计算机科学 计算机科学
背景情况:
- 准确的降雨量测量对于城市规划和管理至关重要.
- 现有的无线网络为机会性降雨传感提供了潜力.
- 综合传感和通信 (ISAC) 利用传感的通信基础设施.
研究的目的:
- 用智能城市无线网络数据比较基于模型和基于数据的降雨估计方法.
- 评估这些方法在分类潮湿/干燥时期和估计降雨强度方面的性能.
- 使用机会式传感生成和验证高分辨率的二维降雨地图.
主要方法:
- 利用来自以色列雷霍沃特现有智能城市无线网络的接收信号水平 (RSL) 测量.
- 实施基于模型的方法,经验参数校准和湿/干分类.
- 开发和训练一个数据驱动的循环神经网络 (RNN) 用于降雨估计和分类.
主要成果:
- 数据驱动的RNN方法与实证模型相比,表现略高,特别是在轻微降雨事件中.
- 这两种方法都成功地生成了城市区域的高分辨率2D地面降雨地图.
- 生成的降雨地图与以色列气象局 (IMS) 的天气雷达数据有很好的一致性.
结论:
- 现有的智能城市无线网络可以有效地用于机会性降雨传感.
- 数据驱动的方法,如RNN,为城市降雨量估计提供了更高的准确性.
- 机遇感应网络显示出创建详细,高分辨率的二维降雨地图的巨大潜力.
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