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智能合模型用于季节性优化市政废水处理厂的废水总
Fuzhen Li1, Shuang Li1, Huiqiang Ma2
1College of Environmental and Safety Engineering, LiaoNing Petrochemical University, Fushun, Liaoning, 113005, People's Republic of China.
本研究引入了可解释的AI模型来处理废水,优化去除. 这种新的方法使废水总 (TN) 减少了7.95%,符合排放标准.
科学领域:
- 环境工程 环境工程
- 人工智能在水处理中的应用
- 优化废水处理 优化废水处理
背景情况:
- 对于市政废水处理厂 (WWTP) 来说,有效的除至关重要.
- 解释"黑子"智能模型和优化污水总 (TN) 的控制策略仍然是一个重大挑战.
- 传统方法往往面临高昂的运营成本和波动的TN水平.
研究的目的:
- 开发一种可解释和适应的战略,以优化WWTP中的废水TN.
- 通过使用SHAP和SEM来评估影响TN水平的特征重要性和相互作用机制.
- 为适应性TN控制创建一个强化学习模型.
主要方法:
- 应用夏普利添加式解释 (SHAP) 和结构方程建模 (SEM) 来解释特征.
- 使用特征融合和减小模型输入的维度.
- 开发了一个基于堆叠的基因算法用于Q学习 (SGAQ) 框架,用于自适应的TN控制.
主要成果:
- 观察到参数对废水TN的影响有显著的季节性差异.
- 一个GA_Stacking预测模型实现了R2 > 0.77.
- 该SGAQ框架导致了对排放标准的一致遵守,并平均减少了7.95%的废水TN.
结论:
- 该研究为WWTPs提供了一个强大的,可解释的预测模型.
- 开发了一种新的季节性适应性优化策略,用于废水TN管理.
- 这种方法为提高废水处理中去除效率提供了一个有希望的解决方案.
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