Dynamic forecast approach of liquefied hydrocarbon in accidental leaking process

This project is important for people to realize the real-time monitoring by dynamic forecast in liquefied hydrocarbon accidental diffusion process. However, there is a difficulty of getting a dynamic initial characteristic parameter for the process leakage model. Therefore, according to the complex characteristics and various relating factors in accidental leaking process of liquefied hydrocarbon, the paper is proposing the dynamic forecast approach based on the idea of the reverse source quantity. At same time, an intelligent forecast system of accidental process is designed with artificial intelligence technology, and accordant forecast results is obtained via comparing dynamic forecast with wind tunnel test.