基于天气传感器和激光测距仪的实时雪崩危险监测系统
Natalya Denissova1, Olga Petrova2, Erbolat Mashayev1
1Department of Information Technology, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk 070000, Kazakhstan.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
这项研究开发了东哈萨克斯坦的自动雪崩监测系统,使用后勤回归和气象数据实现了超过98%的雪崩预测准确度. 该系统可提高山区的雪崩危险预测和风险管理.
科学领域:
- 地质科学 地质科学
- 环境监测 环境监测
- 遥感 遥感 遥感 遥感
背景情况:
- 雪崩危险预测对全球山区至关重要.
- 现有的监测方法往往缺乏连续的高分辨率数据.
- 东哈萨克斯坦地区面临着严重的雪崩风险.
研究的目的:
- 开发和实地测试一个原型的自动化雪崩危险监测系统.
- 整合各种传感器和数据处理能力,以进行全面的监控.
- 评估系统在雪崩预测方面的有效性.
主要方法:
- 部署一个带有环境传感器的雪崩站 (温度,湿度,压力,风).
- 整合了一个温度测雪杆和一个用于数据存储的API.
- 使用自主太阳能发电来实现连续运行.
- 运用后勤回归来利用收集的气象数据进行雪崩预测.
主要成果:
- 自动化监控系统证明了连续的,高分辨率的数据收集.
- 现场测试确定了系统的优缺点.
- 雪崩预测模型实现了超过98%的识别准确度.
- 来自气象数据的回归系数被证明是有效的预测.
结论:
- 开发的自动化系统显示了改善雪崩风险管理的重大前景.
- 该系统的高预测准确度支持其实际应用.
- 该解决方案可扩展,用于更广泛的国家和国际的雪崩危险评估.
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