Early warning method and system of building environmental security based on TinyML and CloudML technology

JianMing Zhang; Chunwei Chen; JinXiang Peng; JianQing Liang

doi:10.1117/12.2653382

27 September 2022 Early warning method and system of building environmental security based on TinyML and CloudML technology

JianMing Zhang, Chunwei Chen, JinXiang Peng, JianQing Liang

Author Affiliations +

Proceedings Volume 12346, 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022); 123460K (2022) https://doi.org/10.1117/12.2653382
Event: 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022), 2022, Kunming, China

Abstract

The traditional fire monitoring system mainly collects data through smoke, temperature and humidity sensor, carbon dioxide sensor and so on, and simply uses a fixed threshold to monitor or predict disasters. However, this method uses sensors to detect the fixed threshold, which will lead to different judgment accuracy in different regions, different installation environments and different seasons, and is often limited by bandwidth and power. It is easy to lead to problems such as misjudgment or failure to trigger in more and more complex building environments, excessive reliance on cloud servers, and excessive data delay. Therefore, a building environment security early warning method based on tinyml technology in cloud computing environment is proposed. The system analyzes and collects smoke data in real time through real-time tinyml technology, so as to judge whether there is danger in the environment. Combining cloudml technology to analyze and intermittently collect temperature and humidity environmental data to predict future environmental safety conditions can improve system efficiency, optimize data delay and achieve more accurate prediction accuracy.

Citation Download Citation

JianMing Zhang, Chunwei Chen, JinXiang Peng, and JianQing Liang "Early warning method and system of building environmental security based on TinyML and CloudML technology", Proc. SPIE 12346, 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022), 123460K (27 September 2022); https://doi.org/10.1117/12.2653382

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