Plasma air purification system: AI optimization, modular reuse, and mechanism research

Author:

Lan Cuntao1ORCID,Zhu Haiwei1ORCID,Huang Zhongzheng1,Liu Dawei12ORCID,Zhang Song3

Affiliation:

1. State Key Lab of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology 1 , Wuhan, Hubei 430074, China

2. Wuhan National High Magnetic Field Center 2 , Wuhan 430074, China

3. Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology 3 , Wuhan 430022, China

Abstract

Pathogenic microbial aerosols (PMA), the typical environmental pollutants, are among the major threats to human health. Here, we developed a new plasma air purification system (PAPS) that simultaneously filters PMA and kills micro-organisms within. The large area needle corona discharge array was developed to fully cover the airflow channel. The proprietary modular design allows the easy cleaning and reuse of the PAPS components for long-term, low-cost operation. Artificial neural network was integrated with genetic algorithm to optimize the working parameters of PAPS. The numerical model was developed to study the purification mechanism of the PAPS and verify its key working parameters. Experiments designed under optimal working parameters proved that PAPS can effectively intercept and inactivate bacteria in PMAs.

Funder

National Natural Science Foundation of China

Interdisciplinary Program of Wuhan National High Magnetic Field Center

Publisher

AIP Publishing

Subject

Condensed Matter Physics

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