HAZOP研究与故障树分析在合成氨装置危险辨识中的应用

合成氨装置的原料、产品危险性高,并且生产过程复杂,因此在运行过程中可能导致火灾、爆炸、中毒等事故,有些事故甚至给社会和环境造成严重破坏.对HAZOP研究与故障树分析进行组合,应用在合成氨装置的危险辨识中.通过HAZOP研究,合成氨主体装置共发现风险因素23项,其中合成氨装置的合成气压缩单元安全隐患较多,因此对其进行故障树分析,合成气压缩机单元火灾、爆炸故障树的最小割集为72个,最小径集为6个.从基本事件结构重要度结果来看,压缩机三级出口压力探测器( PIA3-2)故障,对压缩机发生火灾、爆炸的影响程度最大,应重点防范.     

Effects of environment, vehicle and driver characteristics on risky driving behavior at work zones

This study aims to analyze the effects of environment, vehicle and driver characteristics on the risky driving behavior at work zones. A decision tree is developed using the classification and regression tree (CART) algorithm to graphically display the relationship between the risky driving behavior and its influencing factors. This approach could avoid the inherent problems occurred in the conventional logistic regression models and further improve the model prediction accuracy. Based on the Michigan M-94/I-94/I-94BL/I-94BR highway work zone driving behavior data, the decision tree comprising 33 leaf nodes is built. Bad weather, poor road and light conditions, partial/no access control, no traffic control devices, turning left/right and driving in an old vehicle are found to be associated with the risky driving behavior at work zones. The middle-aged drivers, who are going straight ahead in their vehicles with medium service time and equipped with an airbag system, are more likely to take risky behavior at lower work zone speed limits. Further, the middle-aged male drivers engage in risky driving behavior more frequently than the middle-aged female drivers. The number of lanes exhibits opposing effects on risky behavior under different traveling conditions. More specifically, the risky driving behavior is associated with the single-lane road under bad light or weather conditions while drivers are more likely to engage in risky behavior on the multi-lane road under good light conditions.     

Probability and frequency calculations related to protection layers revisited

This article casts a new glance over some methods dedicated to the calculation of the likelihood (probability or frequency) of failure of systems and, in particular, safety-related systems working alone or in association with other protection layers. It consists first in examining with a critical eye the relevancy of the aforementioned methods, which are still often used in spite of their restrictive limitations, and second in proposing an alternative approach for each of them. The correctness of the examinated methods is tested by applying them to very simple systems modeled by fault tree models, with intent to show why these methods are debatable and how they can be replaced by other ones, more appropriate. The particular case of several protection layers having to react on the demand resulting from the global failure of their associated control system is considered. That case leads to revisit the common assumption of the independence between the above protection layers and control system, by taking into account the order of their respective failures from a qualitative and quantitative point of view.     

Risk assessment of an oxygen-enhanced combustor using a structural model based on the FMEA and fuzzy fault tree

The oxygen-enhanced combustor has the advantages of high burning efficiency and low emissions. However, it should not be promoted for industrial use until its reliability and safety have been fully recognized. A new methodology is proposed to assess the risk of an oxygen-enhanced combustor using a structural model based on the FMEA and fuzzy fault tree. In addition, it is applied to a selected pilot semi-industrial combustor. To identify the hazard source comprehensively, the pilot is divided into four subsystems: the combustor subsystem, feed subsystem, ignition subsystem and exhaust subsystem. According to the operational parameters of flow (flow rate, temperature and pressure) and the component functions in different subsystems, the cause and effect matrix can be built using the structural model, and the relationship between the operational parameters and the effects of the change for the operational parameters on the system can be presented. Based on the results of cause and effect matrix, the FMEA can be built to describe the failed models and accident scenarios of the pilot. The main accident forms include leakage, injury, fire and explosion. Accordingly, with the severity and probability analysis of different accident forms, the fire and explosion accidents should be further accessed quantitatively using the fuzzy fault tree analysis. The fault trees can be obtained in accordance with the FMEA, and the qualitative assessments of the basic events can be collected by using expert scoring. A hybrid approach for the fuzzy set theory and weight analysis is investigated to quantify the occurrence probability of basic events. Then, the importance analysis of the fault trees, including the hazard importance of basic events and the cut set importance, is performed to help determine the weak links of the fire and explosion trees. Finally, some of the most effective measures are presented to improve the reliability and safety of the combustion system.     

煤矿复杂事故树最小径集算法研究

文章在分析"成功树"法求事故树最小径集不足的基础上,结合煤矿五大灾害复杂事故树分析的特点,运用布尔代数和福塞尔行列法的基本原理,提出两种事故树最小径集的求解方法。通过一个煤矿复杂事故树分析实例,验证了方法的正确性和有效性,为实现事故树分析计算机化提供了有效的算法支撑。     

Relationships between simulated water stress and mortality and growth rates in underplanted Toona ciliata Roem. in subtropical Argentinean plantations

Toona ciliata Roem. (Australian red cedar) requires a nurse-tree overstory to prevent damage from drought and irradiation in some regions of north-eastern Argentina. T. ciliata was planted in the understory of Pinus taeda L. (625 stems/ha), Pinus elliottii Engelm. × Pinus caribaea Morelet (625 stems/ha), and Grevillea robusta A. Cunn. (833 stems/ha) nurse trees, which were thinned to 0, 25, 50, 75 and 100% of the initial densities. We measured initial T. ciliata mortality and growth as well as Leaf Area Index (LAI) based on light transmission. T. ciliata soil water availability and its effect on early growth and mortality were examined by modelling drought stress using the two-dimensional forest hydrology model ForWaDy. Simulated patterns in T. ciliata water stress for the different overstory treatments were consistent with observed patterns of mortality. Early mortality was lowest with a G. robusta overstory, with corresponding lowest drought stress values and high modelled soil water contents in the top soil layer in intermediate and high overstory densities. Mortality was highest with a P. elliottii × P. caribaea overstory in treatments with the highest modelled drought stress values in the most open treatments. The model supported our field observations by indicating that water stress was an important limitation to T. ciliata survival and growth on our study sites. The linkage between T. ciliata establishment success, early growth and soil water availability as indicated by ForWaDy, leads us to conclude that the model is a suitable stand management tool for guiding establishment of T. ciliata plantations.     

工艺流程中氨泄漏事故后果分类研究

氨是重要的化工原料和产品,工艺流程中氨主要以氨气、液氨、氨溶液三种状态存在。氨气、液氨、氨溶液理化特性及危险特性不同,可能造成的事故后果类型不同,分别进行三种相态下氨泄漏的事故情景分析。氨气泄漏主要考虑蒸气云爆炸、中毒,液氨泄漏主要考虑沸腾液体扩展蒸气爆炸、蒸气云爆炸、中毒,氨溶液泄漏主要考虑中毒和腐蚀。运用半球模型和高斯模型计算某尿素企业液氨球罐泄漏的危害范围。半球泄漏模型计算方法较简单,但没有考虑氨本身性质及气象条件等因素;高斯模型计算过程较复杂,其计算结果与风速、大气稳定度等条件相关。该两种方法计算结果对预防氨泄漏事故发生和氨泄漏事故预警均具有一定参考意义,如何提高模拟分析的准确度是今后研究工作的重点。     

基于故障树与灰色模糊理论的城市CNG加气站安全评价

城市CNG加气站安全状况好坏,直接影响到整个城市天然气汽车的安全运行,为此提出运用故障树分析法与灰色模糊理论对城市CNG加气站进行安全状况分析。通过对站内危险因素的分析,建立了加气站主要系统的故障树,得到引起加气站主要系统失效的70个基本事件,建立加气站安全评价指标体系,利用专家评分法对指标进行评分,利用层次分析法计算各指标层次相对权重。运用灰色关联分析法,计算参评数据序列与标准数据序列的关联系数矩阵,即得出模糊评判矩阵。再由模糊理论得出加气站安全等级,并给出相应的日常安全工作重点。用该方法对常州市CNG加气站进行安全评价,得出安全等级为Ⅱ级,这与加气站实际运行状况相符,说明用该方法对加气站进行安全评价是有效的、可靠的,能够为城市CNG加气站安全管理提供依据。     

大学生宿舍潜在火灾危险性调查研究

随着学校学生数量不断增加,大学生宿舍楼越来越多。由于生活条件的提高,学习用品不断增多,发生火灾事故的隐患也就逐渐增多,一旦发生火灾事故,后果严重。本文根据对大学生寝室极易发生火灾的安全隐患进行深入调查研究,分析导致寝室火灾的5个主要原因：安全意识薄弱,可燃物多,建筑存在安全隐患,人员集中,不易疏散人群及安全管理滞后。然后应用安全检查表对某校大学生寝室火灾进行分析,得出安全评价结果,经过研究、分析发现,该寝室存在着火灾危险性,应采取防范措施进行预防。之后运用事故树分析的方法对宿舍火灾进行结构重要度分析研究,找出容易发生火灾的原因。最后从预防人的不安全行为及物的不安全状态出发,提出了有针对性的安全措施。     

CAST污水处理工艺故障诊断方法的研究与应用

本文分析了CAST污水处理工艺故障诊断的特点和需求。在此基础上,提出了建立CAST工艺故障诊断系统的思路和方法,利用自动化监控系统实现在线故障监测和报警,利用故障树分析法构建故障诊断模型,结合运行参数趋势图,实现故障快速诊断。文章通过实例分析,介绍了该方法在污水处理厂的实际应用。