npj Clean Water ( IF 11.4 ) Pub Date : 2021-03-08 , DOI: 10.1038/s41545-021-00106-5 Gürkan Sin , Resul Al
The introduction of Activated Sludge Models No. 1 (ASM1) in the early 1980s has led to a decade-long experience in applying these models and demonstrating their maturity for the wastewater treatment plants’ design and operation. However, these models have reached their limits concerning complexity and application accuracy. A case in point is that despite many extensions of the ASMs proposed to describe N2O production dynamics in the activated sludge plants, these models remain too complicated and yet to be validated. This perspective paper presents a new vision to advance process modeling by explicitly integrating the information about the microbial community as measured by molecular data in activated sludge models. In this new research area, we propose to harness the synergy between the rich molecular data from advanced gene sequencing technology with its integration through artificial intelligence with process engineering models. This is an interdisciplinary research area enabling the two separate disciplines, namely environmental biotechnology, to join forces and work together with the modeling and engineering community to perform new understanding and model-based engineering for sustainable WWTPs of the future.
中文翻译:
人工智能十字路口的活性污泥模型—推进过程建模的观点
1980年代初期引入的1号活性污泥模型(ASM1)导致在应用这些模型并证明其在废水处理厂的设计和运行方面的成熟度已有十年的经验。但是,这些模型已经达到了有关复杂性和应用准确性的极限。一个典型的例子是,尽管提议描述A 2的ASM进行了许多扩展关于活性污泥厂的生产动态,这些模型仍然过于复杂,尚待验证。该观点论文提出了一个新的愿景,即通过将活性污泥模型中的分子数据所测得的微生物群落信息明确整合起来,从而推进过程建模。在这个新的研究领域中,我们建议利用先进基因测序技术的丰富分子数据与通过人工智能与过程工程模型进行集成之间的协同作用。这是一个跨学科的研究领域,使环境生物技术这两个独立的学科能够联合起来,并与建模和工程界共同努力,对未来的可持续污水处理厂进行新的理解和基于模型的工程。