Haze pollution monitoring system based on semi-supervised learning

Zuhan Liu; Xiang Tu; Lili Wang

doi:10.1117/12.2671685

21 March 2023 Haze pollution monitoring system based on semi-supervised learning

Zuhan Liu, Xiang Tu, Lili Wang

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 1260923 (2023) https://doi.org/10.1117/12.2671685
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

In this paper, a design of air pollutant monitoring system with six modules based on Semi-supervised learning (SSL) is designed. More specifically, the data acquisition module, data pre-processing module, data classifier module, comprehensive analysis module, auxiliary sorting module, computer terminal module respectively realize data collection, dimension reduction pre-processing, classification, comprehensive analysis, sorting, observation and monitoring. After system operation, it perfectly realized the real-time monitoring and timely warning of haze pollution, and provided data support for the precision of urban air pollution prevention. The application of modern science and technology in air pollution monitoring has been realized, and the ability and level of air pollution prevention and control supervision have been improved. The experimental results show that the proposed system has higher accuracy monitoring of classification．

Citation Download Citation

Zuhan Liu, Xiang Tu, and Lili Wang "Haze pollution monitoring system based on semi-supervised learning", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 1260923 (21 March 2023); https://doi.org/10.1117/12.2671685

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