中国安全生产科学技术
中國安全生產科學技術
중국안전생산과학기술
JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY
2014年
6期
176-182
,共7页
加油站%火灾爆炸%贝叶斯网络%故障树
加油站%火災爆炸%貝葉斯網絡%故障樹
가유참%화재폭작%패협사망락%고장수
gas station%fire and explosion%Bayesian Network%fault tree
为了找出导致加油站发生火灾爆炸事故的基本事件及其可能性大小,以加油站火灾爆炸故障树为基础建立相应的贝叶斯网络风险模型。在FTA向BN转化算法的基础上对条件概率做出了修正。利用GeNIe软件计算加油站火灾爆炸事故基事件的后验概率,同时进行灵敏度和影响力分析。最后通过实例分析,找出了导致某加油站发生火灾爆炸事故危险性最大的因素集为:加油站接打手机、机械碰撞、给塑料容器加油、加油冒油、油枪渗漏等。结果表明,注重基事件的多态性和事件间逻辑关系合理性的新模型,能推算出更准确的基事件概率分布,同时可以找出导致事故发生的最有可能途径,为加油站事故预防,系统改进提供较为合理性建议。
為瞭找齣導緻加油站髮生火災爆炸事故的基本事件及其可能性大小,以加油站火災爆炸故障樹為基礎建立相應的貝葉斯網絡風險模型。在FTA嚮BN轉化算法的基礎上對條件概率做齣瞭脩正。利用GeNIe軟件計算加油站火災爆炸事故基事件的後驗概率,同時進行靈敏度和影響力分析。最後通過實例分析,找齣瞭導緻某加油站髮生火災爆炸事故危險性最大的因素集為:加油站接打手機、機械踫撞、給塑料容器加油、加油冒油、油鎗滲漏等。結果錶明,註重基事件的多態性和事件間邏輯關繫閤理性的新模型,能推算齣更準確的基事件概率分佈,同時可以找齣導緻事故髮生的最有可能途徑,為加油站事故預防,繫統改進提供較為閤理性建議。
위료조출도치가유참발생화재폭작사고적기본사건급기가능성대소,이가유참화재폭작고장수위기출건립상응적패협사망락풍험모형。재FTA향BN전화산법적기출상대조건개솔주출료수정。이용GeNIe연건계산가유참화재폭작사고기사건적후험개솔,동시진행령민도화영향력분석。최후통과실례분석,조출료도치모가유참발생화재폭작사고위험성최대적인소집위:가유참접타수궤、궤계팽당、급소료용기가유、가유모유、유창삼루등。결과표명,주중기사건적다태성화사건간라집관계합이성적신모형,능추산출경준학적기사건개솔분포,동시가이조출도치사고발생적최유가능도경,위가유참사고예방,계통개진제공교위합이성건의。
In order to find out the basic events and the corresponding possibilities of fire and explosion in gas sta -tion, a Bayesian network risk model was established based on the fault tree of fire and explosion in gas station fire and explosion .The conditional probabilities were corrected in the transformation process of fault tree to Bayesian Network .The posterior probabilities of basic events in fire and explosion accidents of gas station were calculated by using the software GeNIe .The strength of influence and the sensitivity analysis were carried out simultaneously . The purpose was to identify more sensitive events and more influential events .Finally, one example was analyzed a-bout fire and explosion in gas station .The main factors of the accidents were identified:using the phone at the gas station, mechanical collision , plastic containers refueling , excessive refueling , oil gun leakage, etc.The results showed that the more accurate probability distribution of basic events can be deduced , which takes into account the rationality of logical relationships among events and the features of multiple states for basic events .The sensitive basic events and the most likely pathway trigging the accident can be identified .It can provide the reasonable pro-posals for accidents prevention and system improvement of the gas station .