首页|人工智能与活性污泥仿真软件在污水处理中的协同应用

人工智能与活性污泥仿真软件在污水处理中的协同应用

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人工智能对复杂非线性动态问题具有强大的处理能力,正在成为污水处理系统模拟、预测与优化的热门工具.实际污水处理系统提供的训练数据数量不足或质量较差,是制约人工智能应用于污水处理领域的一大障碍.活性污泥仿真软件可准确模拟实际污水处理系统,为人工智能提供丰富的高质量训练数据.同时,人工智能可扩展活性污泥仿真软件的功能与应用场景.但是,鲜有文献对人工智能与活性污泥仿真软件的协同应用进行系统性阐述.基于此,文章归纳总结了人工智能、活性污泥仿真软件以及两者协同应用的特点与现状,列举了相关的经典案例或最新案例,提出了 4 点未来研究方向,以期为人工智能与活性污泥仿真软件在污水处理中的协同应用提供研究思路.
Synergistic Application of Artificial Intelligence and Activated Sludge Simulation Software in Wastewater Treatment
Artificial intelligence has a strong ability to deal with complex nonlinear dynamic problems and has become a popular tool for simulation,prediction,and optimization in wastewater treatment systems.The insufficient quantity or poor quality of training data provided by actual wastewater treatment systems is a major obstacle restricting the application of artificial intelligence in the field of sewage treatment.Activated sludge simulation software can accurately simulate real wastewater treatment systems and provide rich high-quality training data for artificial intelligence.Meanwhile,artificial intelligence can expand the functions and application scenarios of activated sludge simulation software.However,there are few literatures on the collaborative application of artificial intelligence and activated sludge simulation software.Thus,this study comprehensively summarizes the characteristics and current situation of artificial intelligence,activated sludge simulation software,and their synergistic applications.Moreover,relevant classical or new cases are provided and analyzed in this study.Finally,four future research directions are also proposed.This study can offer research insights for the synergistic application of artificial intelligence and activated sludge simulation software.

training datamathematical modelmachine learningpredictionoptimizationsimulation

唐白石、胡轶波、江海鑫

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华自科技股份有限公司,湖南长沙 410006

训练数据 数学模型 机器学习 预测 优化 仿真模拟

2024

净水技术
上海市净水技术学会,上海市城乡建设和交通委员会科学技术委员会办公室

净水技术

CSTPCD
影响因子:0.643
ISSN:1009-0177
年,卷(期):2024.43(10)
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