Paper
22 October 2021 Anomaly detection in dosing system
Author Affiliations +
Proceedings Volume 11928, International Conference on Image Processing and Intelligent Control (IPIC 2021); 1192819 (2021) https://doi.org/10.1117/12.2611376
Event: International Conference on Image Processing and Intelligent Control (IPIC 2021), 2021, Lanzhou, China
Abstract
In the process of sewage treatment and dosing, due to the physical and chemical factors of the medicament or thinking factors, the market will cause the dosing abnormal. To monitor the abnormal situation in real-time, this paper uses the Long Short-Term Memory algorithm to learn the time law of dosing and uses real dosing data to predict the value of the next time point by point, which can determine whether an exception has occurred in the dosing system reliably.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Song Xu, Zhengang Zhai, Xusheng Fang, Bingtao Gao, Yunya Zhu, and Li Zhang "Anomaly detection in dosing system", Proc. SPIE 11928, International Conference on Image Processing and Intelligent Control (IPIC 2021), 1192819 (22 October 2021); https://doi.org/10.1117/12.2611376
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KEYWORDS
Machine learning

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