Feature Extraction Model of Smart Fire Fighting Water Cyber Physical System based on LSTM

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.