Feature Extraction Model of Smart Fire Fighting Water Cyber Physical System based on LSTM
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)(2022)
Abstract
In order to realize the condition monitoring and judgment of intelligent fire cyber physical water system, a feature extraction model of intelligent fire cyber physical water system based on LSTM is designed in this paper. In physical space, a real-time pressure information acquisition system is constructed based on intelligent water pressure sensor equipment and the closed-loop control command is completed by new intelligent gateway equipment. In the information space, based on LSTM architecture, a feature extraction and classification judgment model of high-pressure and low-pressure states based on one-dimensional time series pressure information is constructed. The experimental data show that the designed model has an average detection accuracy of 81.5%. The model can provide technical support for the closed-loop control of intelligent fire cyber physical water system.
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Key words
Cyber Physical System,Internet of Things,Smart Fire Fighting,Water Feature Extraction Model,LSTM
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