整合人工智能建模和膜技术用于先进的废水处理:研究进展和未来前景
Stefano Cairone1, Shadi W Hasan2, Kwang-Ho Choo3
1Sanitary Environmental Engineering Division (SEED), Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II #132, 84084 Fisciano, SA, Italy.
The Science of the total environment
|June 15, 2024
概括
人工智能 (AI) 建模为利用膜技术优化废水处理提供了强大的解决方案. 人工智能提高了性能预测和污染减缓,为更可持续的水资源管理铺平了道路.
科学领域:
- 环境工程 环境工程
- 水处理技术水处理技术
- 人工智能应用程序 人工智能应用程序
背景情况:
- 膜技术对于先进的废水处理至关重要,重点是去除污染物和资源回收.
- 膜污染仍然是一个重大挑战,影响处理效率,需要先进的缓解策略.
- 预测性能的传统数学模型往往缺乏准确性,因为废水的变化.
研究的目的:
- 审查应用人工智能 (AI) 模型用于基于膜的废水处理的最新进展.
- 探索AI在改善性能预测,污染控制和流程优化方面的潜力.
- 检查AI在提高膜技术效率和可持续性方面的作用.
主要方法:
- 对膜废水处理中的AI建模应用的文献综述.
- 分析AI对预测性能和污染机制的影响.
- 讨论AI在优化操作条件和膜制造方面的作用.
主要成果:
- 人工智能建模显示了对膜性能和污染的准确预测有很大的潜力.
- 人工智能促进了膜系统的增强过程控制,优化和强化.
- 由人工智能驱动的策略改善了废水质量,资源利用,并降低了运营成本.
结论:
- 人工智能建模代表了向可持续废水处理的范式转变.
- 需要进一步的研究,以克服在废水处理厂广泛整合人工智能的局限性.
- 人工智能提高了基于膜的水处理的效率,成本效益和可持续性.
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