一个软度传感器用于测量卡斯特洞穴中的风力
Juš Kocijan1,2, Matija Perne1,3, Franci Gabrovšek3,4
1Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
一个新的数据驱动软传感器准确地测量洞穴风速,为物理风力计提供了可靠的替代方案. 这项技术可以填补数据缺口或取代地下气象中的脆弱,耗电密集的传感器.
科学领域:
- 环境科学 环境科学
- 气象学 天气学
- 数据科学数据科学数据科学
背景情况:
- 物理风力计通常用于测量风速,但它们可能是脆弱的,耗电密集的或昂贵的.
- 地下环境,如洞穴,在部署和维护物理传感器方面存在独特的挑战.
- 由于传感器故障或无法访问,风速测量的数据差距可能会发生.
研究的目的:
- 开发和评估一个数据驱动的软传感器,用于测量洞穴通道中的风速.
- 为地下气象学提供一个可行的替代物质气流计的可行替代品.
- 评估软传感器在填补数据空白或替换物理传感器方面的潜力.
主要方法:
- 一个高斯过程模型被开发为软传感器.
- 该模型经过一年的训练,每半小时从洞穴通道测量风速.
- 使用统计测量和视觉检查来评估测试数据上的模型性能.
主要成果:
- 开发的高斯过程模型在测量风速方面表现良好.
- 选择的两个模型结构都显示出有效的结果,表明了强度.
- 软传感器成功捕获了洞穴环境中的风速模式.
结论:
- 数据驱动的软传感器是地下气象学的可行工具.
- 软传感器可以有效地测量风速,为物理风力计提供了替代方案.
- 这项技术可以通过填补空白或在具有挑战性的环境中取代传统传感器来增强数据收集.
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