Xuedan Zhao, Jun Zhang, Weiguo Song, Hongliu Li, Long Xia
{"title":"Capability Assessment for Emergency Management of Fluorochemical Plant in Fires","authors":"Xuedan Zhao, Jun Zhang, Weiguo Song, Hongliu Li, Long Xia","doi":"10.1109/ICFSFPE48751.2019.9055784","DOIUrl":null,"url":null,"abstract":"Fluorochemical industry is one of the newly developed industries, from which products are widely used in daily life. However, many dangerous chemicals are involved in the production process of fluorochemical, which are prone to cause many accidents such as poisonous gas leaks, gas explosions, fires, human intoxication and so on, endangering people's lives and property. Therefore, it is really necessary to analyze and evaluate the emergency management capability of fluorochemical plant. In this paper, we establish a fault tree for the emergency management failure of fluorochemical plant in fires, and give the corresponding evaluation index system of emergency management capability. In addition, to evaluate the emergency management capability of fluorochemical plant, an artificial neural network based method is proposed to expand the technology of capability assessment for emergency management.","PeriodicalId":6687,"journal":{"name":"2019 9th International Conference on Fire Science and Fire Protection Engineering (ICFSFPE)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 9th International Conference on Fire Science and Fire Protection Engineering (ICFSFPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFSFPE48751.2019.9055784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fluorochemical industry is one of the newly developed industries, from which products are widely used in daily life. However, many dangerous chemicals are involved in the production process of fluorochemical, which are prone to cause many accidents such as poisonous gas leaks, gas explosions, fires, human intoxication and so on, endangering people's lives and property. Therefore, it is really necessary to analyze and evaluate the emergency management capability of fluorochemical plant. In this paper, we establish a fault tree for the emergency management failure of fluorochemical plant in fires, and give the corresponding evaluation index system of emergency management capability. In addition, to evaluate the emergency management capability of fluorochemical plant, an artificial neural network based method is proposed to expand the technology of capability assessment for emergency management.