The risk assessment of the present danger is focused on the safety supervision . based on the analysis of the fault tree of the accident at lpg terminal , the level of the safety manage of lpg terminal is assessed through grey clustering procedure and the grade is presented , which make the managerial personnel see the level of the safety manage of this terminal visualizedly 本文在對液化石油氣碼頭儲運安全事故致因進行故障樹分析的基礎上,運用灰色聚類法半定量的分析并給出了碼頭的安全管理水平等級,使決策者直觀的看到了碼頭的安全管理水平,為進一步采取安全管理措施提供了依據。
Texture features are then extracted from these filters and passed into a dynamic clustering procedure , which is called visual similarity clustering . finally , text contents are located from the clustered results . benefit from this scheme , the algorithm demonstrates strong robustness and adaptability in a wide variety of documents , which previous traditional dla approaches do not possess 一般來說,人眼對一張文檔圖像所形成的第一印象,會傾向于對其中一些區域文字照片等等形成相似的感知結果,這些在視覺前期相似的內容,往往就是文檔中內容獨立的區域。
This thesis is based on the theory of the unexpected release of energy in safety system engineering and applies the relevant principle in risk assessment . three kinds of methods , such as dow fire & explosion index , ici / mond index , grey clustering procedure and three mathematical models , such as bleve accidental model , vce accidental model , the model of leakage & diffusion of posionous gases are applied to the risk asssessment of lpg terminal 本文以安全系統工程中的能量意外釋放理論為理論基礎,根據安全評價的相關原理,綜合運用三種方法:道氏火災爆炸指數法、 ici mond法、灰色聚類法以及三個模型: bleve事故傷害模型、 vce事故傷害模型、有毒氣體泄漏擴散模型,對液化石油氣碼頭的儲運進行了風險綜合評價。