This repository focuses on situational awareness of security areas in biochemical attacked indoor scenarios based on deep learning technology. The CFD software --STAR-CCM+ is applied to simulate a mass of release scenarios that covers cases as much as possible. Especially, the indoor monitoring sensors are all arranged on the wall in CFD simulation scenarios, and a decontamination device is provided for manufacturing safe areas. When the neural network is properly trained, the model could estimate the indoor gas concentration’s field and the trend of safe areas in the future time periods without providing any information about the release source.
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View Code? Open in Web Editor NEWsituation awareness model in chemical attack scene