相关实验视频
Updated: Feb 28, 2026

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Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
Published on: November 13, 2017
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无人机可部署的开源传感器节点,用于空间和时间的现场水质监测和绘制地图
Matthew Burnett1, Mohamed Abdelwahab1, Joud N Satme1
1Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208, USA.
Sensors (Basel, Switzerland)
|February 27, 2026
概括
由无人机 (UAV) 部署的低成本,开源的传感器节点可以实时,空间解析的水质监测. 该系统提供了一个可访问的工具,用于评估地表水的状况和绘制污染的地图.
科学领域:
- 环境科学 环境科学
- 传感器技术 传感器技术
- 水生生态系统 水生生态系统
背景情况:
- 有效的水质管理需要具有成本效益的,空间分辨的监测.
- 现有的方法可能很昂贵,缺乏实时,高分辨率的数据.
- 保护水生生态系统需要不断评估地表水的状况.
研究的目的:
- 开发一个低成本的,开源的传感器节点,用于无人机部署.
- 允许实时,现场评估主要地表水质量参数.
- 为了证明系统对空间分辨率水质映射的能力.
主要方法:
- 集成pH,度,温度和总溶解固体 (TDS) 的传感器.
- 车载数据记录与实时时钟 (RTC) 同步.
- 通过实验室测试和现场部署与普通Kriging插值进行验证.
主要成果:
- 传感器节点的成本约为200美元,实现了较低的验证错误 (pH:1.34%,TDS:5.23%,温度:0.81%).
- 实现了42小时的连续运行.
- 现场部署成功地绘制了pH (6.0-6.7),度 (11-18 NTU),TDS (44-51 ppm) 和温度 (22.8-24.6 °C) 的空间梯度.
结论:
- 这种开源的,可以部署在无人机上的传感器节点为实时水质监测提供了具有成本效益的解决方案.
- 该系统有效地解决了空间水质变化,促进了详细的绘图.
- 这个可访问的平台支持以社区为基础和以研究为导向的水生生态系统评估.
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