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An effective dynamic immune optimization control for the wastewater treatment process

  • Circular Economy Application in Designing Sustainable Medical Waste Management Systems
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A Correction to this article was published on 07 February 2022

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Abstract

To resolve the conflict between multiple performance indicators in the complicated wastewater treatment process (WWTP), an effective optimization control scheme based on a dynamic multi-objective immune system (DMOIA-OC) is designed. A dynamic optimization control scheme is first developed in which the control process is divided into a dynamic layer and a tracking control layer. Based on the analysis of the WWTP performance, the energy consumption and effluent quality models are next established adaptively in response to the environment by an optimization layer. An adaptive dynamic immune optimization algorithm is then proposed to optimize the complex and conflicting performance indicators. In addition, a suitable preferred solution is selected from the numerous Pareto solutions to obtain the best set of values for the dissolved oxygen and nitrate nitrogen. Finally, the solution is evaluated on the benchmark simulation platform (BSM1). The results show that the DMOIA-OC method can solve the complex optimization problem for multiple performance indicators in WWTPs and has a competitive advantage in its control effect.

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All data generated or analysed during this study are included in this published article.

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Acknowledgements

The authors thank all the consorts and groups who were involved in the compilation of data from patients for public use. Our sincere thanks to all the patients who have indirectly contributed to the scientific community by providing consent for sharing their data for research use.

Funding

This work was supported by the National Key Research and Development Program of China under Grants [2020YFC1511702], the National Natural Science Foundation of China under Grants [61771059], [61971048] and [62003185], Beijing Science and Technology Project under Grants [Z191100001419012], Beijing Scholars Program, Open Project of Beijing Key Laboratory of High Dynamic Navigation Technology, Key Laboratory of Modern Measurement & Control Technology (Beijing Information Science & Technology University), Ministry of Education.

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Authors and Affiliations

  1. School of Automation, Beijing Information Science & Technology University, Beijing, 100192, People’s Republic of China

    Fei Li & Zhong Su

  2. Beijing Jingxinke High-End Information Industry Technology Research Institute Co. Ltd, Beijing, 100192, People’s Republic of China

    Fei Li

  3. Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, People’s Republic of China

    Fei Li & Gongming Wang

Authors
  1. Fei Li
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  2. Zhong Su
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  3. Gongming Wang
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Contributions

FL conceived the idea and performed this experiment, and she wrote the manuscript; ZS gave suggestions during the experiment and revised the manuscript; GW analysed and interpreted performance characteristics of WWTPs, and assisted on solving experimental problems in the study. All the authors read and approved the final manuscript.

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Correspondence to Fei Li.

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Responsible Editor:Ta Yeong Wu

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The original online version of this article was revised: The correct third Author name is Gongming.

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Li, F., Su, Z. & Wang, G. An effective dynamic immune optimization control for the wastewater treatment process. Environ Sci Pollut Res 29, 79718–79733 (2022). https://doi.org/10.1007/s11356-021-17505-3

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