ACS Sustainable Chemistry & Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 13, 2025
Due to the complexity of multitower separation process (the ethylene as an example) and numerous variables, traditional risk analysis methods cannot meet needs modern enterprises. In this paper, intelligent dynamic quantitative assessment combining bidirectional long short-term memory network (DQRA-Bi-LSTM) is proposed for early warning. First, a simulation carried out obtain working condition data. Based on data from actual conditions plant, preliminary performed using Dow Chemical Fire Explosion Index (F&EI) method. Then, are quantitatively converted values definitions predicted by (Bi-LSTM). Finally, genetic algorithms (GAs) introduced control risk. The method applied demethanization system distillation predict values. application results two cases show that able threshold 0.2 h in advance successfully value below threshold.
Language: Английский