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FIRE ACCIDENT INVERSION METHOD BASE ON STAMP AND TOPOLOGICAL NETWORK FOR LNG DEPOT

机译:基于邮票和拓扑网络的液化天然气仓库火灾事故反演方法

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Natural Gas is becoming an important energy source option and the capacity of the world to produce it is surging. Natural gas is usually liquefied for shipping and storage. Fire and explosion are among the most dangerous accidents in facilities at LNG Depot; especially pool fire is the most frequent incidents. At the same time the chain of accidents may lead to extremely severe consequences. In order to avoid such calamity a detail study on accident inversion technology is required to save human lives and prohibit the destruction of LNG Depot. In this thesis a topological network based fire accident inversion method for LNG tank fire accident is proposed. Firstly, analyze the LNG depot with the STAMP/STPA method. Then, the topology model of LNG tank fire inversion is established, and the optimal estimator of the shortest path is proposed according to the weighted edge topological network structure, based on which the fire location can be determined. Case study is applied to a LNG Depot. The results show that the position of the fire source calculated by the proposed method is the same as that of the simulated accident by FDS, which proves the feasibility of the method and provides a basis for reducing the fire losses and preventing accidents of LNG.
机译:天然气正在成为一种重要的能源选择,世界生产天然气的能力也在不断提高。天然气通常是液化的,用于运输和存储。火灾和爆炸是液化天然气库场设施中最危险的事故之一;特别是池火是最频繁发生的事件。同时,一系列事故可能导致极为严重的后果。为了避免这种灾难,需要对事故反转技术进行详细研究,以挽救生命并禁止破坏液化天然气库。本文提出了一种基于拓扑网络的液化天然气罐火灾事故反演方法。首先,使用STAMP / STPA方法分析液化天然气库。然后,建立了液化天然气储罐火灾反演的拓扑模型,并根据加权边缘拓扑网络结构提出了最短路径的最优估计器,据此可以确定火灾的发生位置。案例研究应用于LNG仓库。结果表明,该方法计算出的火源位置与FDS模拟事故位置相同,证明了该方法的可行性,为减少火灾损失和防止LNG事故提供了依据。

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