通过人工智能优化废水处理:最近的进展和未来的前景
Mudita Nagpal1, Miran Ahmad Siddique2, Khushi Sharma2
1Department of Applied Sciences, Vivekananda Institute of Professional Studies-Technical Campus, Delhi 110034, India
概括
人工智能 (AI) 通过预测污染物清除效率和监测水质,提高了废水处理效率. 人工智能应用证明了成本效益和成功的全球实施,彻底改变了这个领域.
科学领域:
- 环境工程 环境工程
- 计算机科学 计算机科学
- 水资源管理 水资源管理
背景情况:
- 污水处理在效率和资源优化方面面临着挑战.
- 人工智能 (AI) 为改善这些过程提供了潜在的解决方案.
研究的目的:
- 审查废水处理的AI模型,重点关注污染物清除效率预测,实时水质监测和故障检测.
- 评估人工智能在废水处理中的成本效益和全球可行性.
主要方法:
- 对废水处理应用的各种人工智能模型的审查.
- 对污染物清除的预测精度 (R2值) 的分析.
- 审查全球的试点项目和案例研究.
主要成果:
- 人工智能模型在预测污染物去除效率方面达到高准确度 (R2: 0.64-1.00).
- 人工智能可以实时监测关键的水质参数 (pH,COD,BOD等). ) 的情况.
- 成功的全球试点项目证明了AI的可行性和积极影响.
结论:
- 人工智能是优化废水处理过程的变革性技术.
- 人工智能实施显示出对成本效益和改进运营效率的承诺.
- 确定了在废水处理中使用人工智能的伦理考虑和未来研究方向.
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