Abstract
In order to realize the intelligence of the indoor methane supervision system and to deeply analyze and apply the data collected by sensor devices, this paper predicts the indoor methane mass fraction by extended Kalman filter and realizes the prediction of explosion consequences by TNT equivalent method, so as to establish an indoor methane warning model for data collection and analysis. And taking a room of 3×3×3m3 as an example, the indoor natural gas leakage is simulated by CFD, and the data of methane mass fraction change with time is obtained for model simulation and explosion consequence prediction calculation. It is found that the Kalman filter can predict the dynamic change of methane in the room, and the methane concentration in the room gradually reaches the equilibrium state after 10,000s, and the concentration is stable at 3%. The calculation results can provide direction for the accident investigation and provide reference for the decision of accident disposal.
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