使用人工智能和机器学习技术的废水管理策略的现状和未来趋势
Gurunathan Baskar1, Soghra Nashath Omer2, Panchamoorthy Saravanan3
1Department of Biotechnology, St. Joseph's College of Engineering, Chennai, 600119. India; School of Engineering, Lebanese American University, Byblos, 1102 2801, Lebanon.
Chemosphere
|June 6, 2024
概括
本研究审查了智能水资源管理策略,包括收集和回收水,以应对全球水资源危机. 它强调了人工智能 (AI),机器学习 (ML),深度学习 (DL) 和物联网 (IoT) 的使用,以有效地分配和保护水.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 计算机科学 计算机科学
背景情况:
- 全球水危机需要创新的解决方案来收集和回收水.
- 有效的水资源管理需要考虑人口密度和各种使用需求的智能机制.
研究的目的:
- 审查水和废水回收的最新趋势.
- 探索人工智能 (AI),机器学习 (ML),深度学习 (DL) 和物联网 (IoT) 在水资源管理中的应用.
主要方法:
- 审查现有的关于水资源管理战略的文献.
- 对人工智能,DL和物联网应用在水分配,雨水收集和灌控制方面的研究.
- 对案例研究和统计数据进行分析,以制定框架.
主要成果:
- 人工智能,ML,DL和物联网为高效的水分配和保护提供了有希望的解决方案.
- 来自各种来源的数据可以集成到智能水资源管理系统中.
- 智能系统可以帮助满足各种应用的水质要求.
结论:
- 使用人工智能,DL和物联网的综合框架可以提高水资源管理效率.
- 智能水资源管理对于解决全球水资源危机至关重要.
- 建议进一步研究和实施这些技术.
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