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Real-Time Monitoring and Coordinated Purification Strategy for PM2.5/Particulate Concentration in Cleanroom Air Conditioning Systems

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DOI: 10.23977/acss.2025.090313 | Downloads: 0 | Views: 13

Author(s)

Linlin Guo 1

Affiliation(s)

1 Dalian Shengyu Air Conditioning and Purification Equipment Engineering Co., Ltd., Dalian, 130000, Liaoning, China

Corresponding Author

Linlin Guo

ABSTRACT

When addressing rapidly changing indoor PM2.5 and particulate concentrations, real-time monitoring accuracy is insufficient and purification response lags. This paper develops a real-time monitoring and coordinated purification model based on high-precision laser particle sensors and an Internet of Things (IoT) platform to achieve intelligent response and control to excessive PM2.5 concentrations. 1) Laser particle sensors are strategically placed in the cleanroom to collect real-time data at one-minute intervals; 2) Kalman filtering is used to fuse multi-point data, eliminating outliers and improving monitoring reliability; 3) Based on a cloud-based data analysis module, dynamic thresholds are set to trigger a coordinated purification strategy, automatically adjusting air volume and purification unit operating status; 4) Device coordinated responses are achieved through a wireless control system. Experimental results show that the system can reduce the response time to PM2.5 peaks to within 3 minutes, with a monitoring error of ±2 μg/m³. The conclusion shows that the clean air-conditioning system based on real-time monitoring and intelligent linkage significantly improves the indoor particle control capability and provides effective protection for a high-cleanliness environment.

KEYWORDS

Cleanroom Air Conditioning System, PM2.5, Real-Time Monitoring, Internet of Things, Coordinated Purification

CITE THIS PAPER

Linlin Guo, Real-Time Monitoring and Coordinated Purification Strategy for PM2.5/Particulate Concentration in Cleanroom Air Conditioning Systems. Advances in Computer, Signals and Systems (2025) Vol. 9: 104-113. DOI: http://dx.doi.org/10.23977/acss.2025.090313.

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