Multimodal Sensing and Intelligent Disinfection Technology in Indoor Integrated Research and Application of Air Quality Management

Qishan Zhen; Zhuowen Wu; Haolin Liao; Zihan Lin; Huanghao Cai; Xiangyue Deng; Xin Chen

doi:10.6911/WSRJ.202602_12(2).0011

Authors

Qishan Zhen
Zhuowen Wu
Haolin Liao
Zihan Lin
Huanghao Cai
Xiangyue Deng
Xin Chen

DOI:

https://doi.org/10.6911/WSRJ.202602_12(2).0011

Keywords:

Indoor air quality, Multimodal sensing, Intelligent disinfection, Closed-loop control, Energy consumption optimization

Abstract

This study addresses the practical needs of multi-parameter sensing and dynamic regulation in current indoor air quality management. Targeting the insufficient integration among monitoring, disinfection, and control components in existing purification systems, we adopt a research approach combining multimodal information fusion and closed-loop feedback control. Through theoretical modeling, system integration, and experimental testing, we explore the synergistic integration of multimodal sensing and intelligent disinfection technologies. By constructing a sensing unit incorporating nucleic acid fluorescence detection, laser particle counting, and multi-parameter gas sensors, combined with dynamic control strategies based on real-time sensor data, the system drives adjustable ultraviolet, low-temperature plasma, and photocatalytic modules to achieve adaptive disinfection. The system interconnects with air conditioning equipment via IoT protocols and incorporates power optimization algorithms to balance purification efficacy and energy consumption. Comparative analysis with traditional solutions demonstrates the feasibility of this integrated approach in enhancing comprehensive indoor air quality management. The research indicates that this integrated pathway provides a viable technical solution for collaborative and precise indoor air quality regulation.

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