Paper
27 June 2022 Post-disaster air purification system based on bionic lung design
Yonggang Liang, Yuewei Ling, Yujie Li, Litao Liu, Nuo Xu
Author Affiliations +
Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122531R (2022) https://doi.org/10.1117/12.2639442
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China
Abstract
Disasters can have a significant impact on air quality and thus pose a threat to the health of people in the affected areas. There are no post-disaster air purification systems or specialized technologies currently. In this paper, a post-disaster air purification system is designed based on the mechanism of lung purification of mammals. It uses two-stage purification, which mainly purifies particulate matter in the air, such as PM2.5 and PM10. The first stage is coarse purification, which simulates the villi fibers in the nasal cavity to block particulate matter. The second stage simulates macrophages in the alveoli to achieve efficient purification of particulate matter. The post-disaster air purification system adopts intelligent control and introduces an innovative mechanical structure design with a special adsorption structure and guiding structure, which can effectively increase the adsorption area of particulate matter in the air and its adsorption capacity. Also, it has a simple structure and can be disassembled and assembled with less effort, which meets the special emergency needs after the disaster.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yonggang Liang, Yuewei Ling, Yujie Li, Litao Liu, and Nuo Xu "Post-disaster air purification system based on bionic lung design", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122531R (27 June 2022); https://doi.org/10.1117/12.2639442
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KEYWORDS
Lung

Sensors

Adsorption

Biomimetics

Control systems

Liquids

Air contamination

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