自动化的无人机交付太阳能驱动的现场废水智能监测和处理系统
Fengjie He1, Ming Zhu2, Jiawei Fan2
1Department of Mechanical Engineering, University of Nevada, Las Vegas, NV, 89154, USA.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|June 26, 2023
概括
这项研究引入了一种自动化的无人机系统,用于实时监测和处理水. 它使用机器学习和可持续的生物吸收剂来有效地解决自然水源污染问题.
科学领域:
- 环境科学 环境科学
- 水处理技术 水处理技术
- 机器人和自动化 机器人和自动化
背景情况:
- 污染的自然水源的有效处理仍然是一个重大挑战.
- 现有的解决方案通常独立关注水监测或吸附剂技术,但对于复杂的污染场景来说不足.
- 对于实时水质管理的综合,可持续和自动化系统有着至关重要的需求.
研究的目的:
- 开发一个集成的,自动化的系统,用于现场水源监测和自然水源的处理.
- 结合机器学习,可持续生物吸收剂和物联网技术,以提高水资源管理.
- 创建一个能够在偏远和难以到达的地区自主操作的无人机交付系统.
主要方法:
- 开发一个由太阳能驱动,无人机交付的水源监测和处理系统 (WMTS).
- 整合机器学习用于数据分析和基于实时传感器数据的优化处理策略.
- 利用卫星遥感来有效地绘制电网图和部署WMTS单元.
- 由无人驾驶飞行器促进的自主操作,调度和维护.
主要成果:
- 成功整合智能水源监测,可持续的生物吸收技术和物联网,以实现闭环解决方案.
- 在具有挑战性的环境中展示自主无人机部署和操作,用于现场水处理.
- 实时数据捕获和基于云计算的分析,使优化,节能水处理策略成为可能.
结论:
- 开发的水源监测和处理系统 (WMTS) 提供了一种可持续的,节能的,自动化的方法来应对自然水源污染.
- 这一综合系统为有效警报和处理污染水体提供了可通用的解决方案.
- 人工智能,机器人和环保材料的结合为解决关键的水质问题提供了全新的途径.
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