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1.
基于风险的突发事件应急准备能力评估方法   总被引:1,自引:0,他引:1  
建立基于风险的突发事件应急准备能力评估指标体系,为应急能力建设提供参考。主要根据《中华人民共和国突发事件应对法》和我国应急管理体系"一案三制"的基本框架,选择反映突发事件应急准备能力的定性与定量指标,并采用简单加权求和方法分别计算其得分;根据四大类突发事件造成的人口死亡和经济损失等方面选择突发事件固有风险指标,并采用秩和比法计算相对风险水平得分;然后集成三类指标得分并作归一化处理得到反映突发事件应急准备能力的标准分。结果表明该评估指标体系能查找应急管理工作中的缺陷与脆弱性,评估方法能识别突发事件应急准备能力与突发事件固有风险降低需求之间的符合程度。该评估指标体系总体结构合理,方法可行。  相似文献   

2.
Asset integrity is a major concern of process facilities. Monitoring and assessing asset integrity is a challenging task due to the involvement of various dependent and independent parameters. Monitoring and assessing asset performance through indicators is one easily doable option. Lack of an appropriate set of indicators quantification technique and measurement cohesion limits the use of an indicator system. To overcome this, in the present paper a hierarchical framework is prepared to for asset integrity monitoring and assessment. The hierarchical structure is used to characterize the asset and relate it to an organization’s strategic goal. The hierarchical structure is based on three major areas of asset integrity, namely: mechanical, personnel and process. Further, it provides an opportunity to follow a bottom-up perspective for identifying multilevel level indicators. The proposed approach uses a risk metric to classify asset integrity through the integration of leading and lagging indicators’ outcome. The analytical hierarchy process is used to determine the weights, or for prioritization of each level indicator and for the aggregation of the indicators to classify risk. To test the proposed model, a benchmark study is conducted. The estimated asset integrity index value provides a tangible asset’s performance index. The system of indicators and their integration provide a comprehensive view of the process facility’s status and also reveal which sections of the facility need more attention.  相似文献   

3.
基于未确知测度理论的巷道稳定性评价   总被引:1,自引:0,他引:1  
评价指标的不确定性是影响巷道稳定性评价的关键。为提高巷道稳定性评价的针对性,建立科学合理的评价模型,从地质条件和工程实际出发,运用未确知测度理论,选取影响巷道稳定性的岩体结构、顶板岩性、岩层倾角、开采深度、施工质量、断面形状、断面面积、支护效果、顶板控制方法、顶板位移量、巷道使用时间等11项因素。根据实测数据建立各影响因素的未确知测度函数,构建矿山巷道的稳定性等级评价和排序模型。采用定性、定量方法分析巷道稳定性评价中的不确定性影响因素,利用熵计算各影响因素的指标权重。依照置信度识别准则进行等级判定,得出巷道稳定性评价结果,并进行稳定程度排序。将该方法应用于某矿8条回采巷道的稳定性评价中。岩层倾角、开采深度、顶板位移量等3个评价指标权重比值差异较大,属于敏感性评价指标。较巷道R_(03)而言,巷道R_(08)的岩层倾角和开采深度2个评价指标的敏感性尤为明显,比值分别达77.43%、-46.72%。置信度取值的增加对评价结果没有显著影响,评价结果的可靠度较高。研究表明,将未确知测度理论应用于巷道稳定性评价是可行的。  相似文献   

4.
A stochastic programming formulation considering Conditional-Value-at-Risk (CVaR) is developed for the optimal placement of gas detectors in petrochemical process facilities. A rigorous gas dispersion simulator, FLACS, is used to generate release scenario data for a real process geometry. We consider two problem formulations: minimization of expected detection time and minimization of expected detection time subject to a restriction on CVaR across the scenario set. The extensive form of each stochastic program is formulated in Pyomo and solved using CPLEX. Considering all scenarios, we compare key values and histograms of detection times for both formulations. Minimizing the mean detection time only can lead to optimal detector placements with a good expected behavior, but unacceptable worst-case behavior. The formulations that minimize or constraint CVaR produce sensor placements with significantly better worst-case behavior and fewer scenarios having high detection times. Considering these results, a strong case for the use of optimal sensor placement using stochastic programming considering CVaR is made for improving safety systems.  相似文献   

5.
Global demand for natural gas may double by 2030, with Liquefied Natural Gas (LNG) growing perhaps fivefold - driven by continued cost reduction. Propane Pre-cooled Mixed Refrigerant (PPMR) of Air Products and Chemicals Inc. (APCI) currently holds 78% of the liquefaction plants on the market. Since the PPMR process has the largest production capacity, its operational reliability needs to be high as any failure may result in catastrophic consequences. Therefore, operational reliability has a key importance in LNG plants. To achieve an acceptable reliability, usually, a constant interval of a preventive maintenance method is used. The limitation of such a method is that the shutdown strategy is not optimum. This study focuses on determining a risk-based shutdown management strategy for APCI plants with capacity of 4.5 million tons per annum. To achieve the minimum risk for the expected life of an LNG plant, a combination of preventive maintenance, active redundancy and standby redundancy is considered. Results of this study reveal that such a combination can significantly reduce the operational risk. This combination improves the plant reliability and maintains it above a minimum operational reliability.  相似文献   

6.
Although reliability analyses have been used to improve the reliability of industrial systems, generic reliability data from publications, such as component failure intensities and repair times, are used to calculate reliability measures instead of the real reliability data collected from the plant. One reason is that the repair history of the components is not well managed in the plant. In this work, the effect of extreme reliability parameter values on system reliability and unavailability is studied. To do this, importance and uncertainty analysis of the components of flue gas scrubber systems is carried out, and results calculated with the extreme reliability parameter values are compared with those with the mean reliability values of the systems. The different reliability parameter values can give us totally different ranks of the components critical to the reliability of the representative scrubber system. Consequently, the effort to establish a reliable database is emphasized to perform accurate reliability analysis of the system.  相似文献   

7.
Risk-based inspection for large-scale crude oil tanks   总被引:1,自引:0,他引:1  
Periodic Internal Inspection Method often results in under-inspection or over-inspection for large-scale crude oil tank. Therefore, how to determine reasonable internal inspection interval (INTII) has great significance on balancing the safe operation requirement and inspection cost for crude oil tanks. Here, RBI (risk-based inspection) technology is used to quantitatively assess the risk of crude oil tanks in an oil depot in China. The risk comparison between tank shell and bottom shows that the risk of tank depends on the risk of tank bottom. The prediction procedure of INTII for crude oil tanks is also presented. The INTII predicted by RBI method is gradually extended with the increasing of the acceptable risk level. The method to determine the acceptable risk of crude oil tanks is proposed, by which 3.54E+04 are taken as the acceptable risk of the oil depot. The safety factor of 0.8 is proposed to determine the final INTIIs for 18 crude oil tanks. The INTII requirement in China code SY/T 5921, 5-7 years, is very conservative and lower than predicted service life of tanks. The INTIIs predicted by Gumbel method are smaller than by RBI method for tanks with short INTII. Therefore, this paper recommends RBI method to predict the INTII for crude oil tanks.  相似文献   

8.
9.
基于模糊随机可靠性的边坡稳定性评价   总被引:1,自引:0,他引:1  
影响边坡稳定性的因素中包含有很多的不确定性,这些不确定因素既具有随机性也具有模糊性。基于模糊分析理论,建立了模糊随机可靠性分析模型,提出了边坡模糊随机可靠性分析的点估计法,并运用该方法对一露天矿边坡稳定的的可靠性进行分析,通过对影响边坡稳定的各个力学参数进行模糊处理,然后应用统计矩点估计方法估计边坡的安全系数均值和可靠度,得出边坡的失稳概率。这种方法由于考虑到了各个力学参数的模糊性,比较符合客观实际,因而更具有实际指导意义。  相似文献   

10.
A new approach to quantitative assessment of reliability of passive systems   总被引:3,自引:0,他引:3  
The objective of this paper is to show how probabilistic reliability can be assessed for complex systems in the absence of statistical data on their operating experience, based on performance evaluation of the dominant underlying physical processes. The approach is to distinguish between functional and performance probabilities when dealing with the quantification of the overall probability of a system to perform a given function in a given period of time (reliability). In the case of systems where sufficient statistical operating experience data are available, one can focus the quantitative evaluation entirely on the assessment of the functional probability for a given active item (e.g. a pump) by assuming that the specification, layout, construction and installation is such that the item is providing the assigned performance, e.g. in the form of generating the required flow rate. This is how traditional probabilistic safety assessments (PSAs) focus the reliability analysis for the various safety features on the calculation of values for the availability per demand. In contrast, for various systems relevant in advanced technical applications, such as passive safety features in innovative reactor designs, it is essential to evaluate both functional and performance probabilities explicitly and combine the two probabilities later on. This is of course due to the strong reliance of passive safety systems on inherent physical principles. In practice, this means that, for example, in case of a passive cooling system based on natural circulation of a given medium, one has to evaluate and to assess the probability to have a medium condition and a flow rate such that a cladding temperature, represented by a probability distribution, can be hold at a required level. A practical example of this method is given for the case of the reliability assessment of a residual passive heat removal system. General conclusions are drawn regarding reliability estimation of complex, interconnected systems in the absence of statistical performance data, such as for infrastructures.  相似文献   

11.
公路网规划环境影响评价中的困难和不确定性分析   总被引:2,自引:0,他引:2  
首先分析了公路网规划环境影响评价中的困难,即评价方法的不成熟和获取资料的困难;然后重点分析了评价中的公路网规划方案的不确定、环境信息的不确定、空间信息的不确定和环境影响程度的不确定;最后提出了 4种解决困难和降低不确定的方法,即制定公路网规划环境影响评价技术导则,使用基于情景分析的预测方法,广泛开展公众参与以及通过多方协作的方式开展环境影响评价工作.  相似文献   

12.
Maintenance policy selection is a multiple criteria decision making. The criteria often considered are cost and reliability of maintenance. There has been a growing interest in using risk of accidents as a criterion for maintenance selection. This paper presents an approach of maintenance selection based on risk of equipment failure and cost of maintenance. Analytic hierarchy process (AHP) and goal programming (GP) are used for maintenance policy selection. A case study in a benzene extraction unit of a chemical plant was done. The AHP results show that considering risk as a criterion, condition based maintenance (CBM) is a preferred policy over time-based maintenance (TBM) as CBM has better risk reduction capability than TBM. Similarly, considering cost as a criterion, corrective maintenance (CM) is preferred. However, considering both risk and cost as multiple criteria, the AHP–GP results show that CBM is a preferred approach for high-risk equipment and CM for low risk equipment.  相似文献   

13.
14.
为了研究可靠性对工作环境变化敏感的一类系统,利用空间故障树SFT的思想和方法,并结合T-S模糊故障树和贝叶斯网络,建立了一种系统可靠性评估方法。总结了T-S模糊故障树和BN网络评价系统可靠性时存在的问题,并在所提出的方法中予以解决。方法中将事件的故障状态划分为:无故障a、轻度故障b、严重故障c、完全故障d四种状态,分别用a,b,c,d表示。故障率为[0~30%)、[30%~60%)、[60%~85%)、[85%~100%),并得到了划分的规则。研究了该系统在不同故障状态下的有效范围。得到了系统在不同状态之间过渡时的特征,并分析了过渡期间的可靠性对因素敏感度问题。  相似文献   

15.
全红 《中国安防》2005,(4):29-31
本文重点介绍基于安全风险分析/评估进行整体银行安防系统设计的方法、步骤、重点因素分析以及具体设计、实施过程中要注意的问题.  相似文献   

16.
In Dynamic Operational Risk Assessment (DORA) models, component repair time is an important parameter to characterize component state and the subsequent system-state trajectory. Specific distributions are fit to the industrial component repair time to be used as the input of Monte Carlo simulation of system-state trajectory. The objective of this study is to propose and apply statistical techniques to characterize the uncertainty and sensitivity on the distribution model selection and the associated parameters determination, in order to study how the DORA output that is the probability of operation out-of-control, can be apportioned by the distribution model selection. In this study, eight distribution fittings for each component are performed. Chi-square test, Kolmogorov–Smirnov test, and Anderson-Darling test are proposed to measure the goodness-of-fit to rank the distribution models for characterizing the component repair time distribution. Sensitivity analysis results show that the selection of distribution model among exponential distribution, gamma distribution, lognormal distribution and Weibull distribution to fit the industrial data has no significant impact on DORA results in the case study.  相似文献   

17.
Crude oil and other liquid materials are transported in large quantities through pipelines. Pipelines are an efficient and safe transport way as compared to both rail and road transportation, both from the economical and environmental points of view. Nevertheless, loss of containment accidents can occur due to external action –a mechanical impact, for example– or to corrosion, aging, etc. Even though the frequency of such events is certainly very low, the effects and consequences on environment can be very important.The consequences of accidents in pipelines can be efficiently reduced through a suitable design of the whole system. One of the points which must be decided in the design is the installation of blocking valves at appropriate distances, so that emergency shutdowns can interrupt the flow of substance and isolate the section where the loss of containment has taken place. In the case of pipe rupture the amount released is therefore limited to the content between two consecutive valves, usually placed according to heuristic criteria. However, if too many valves are used, the capital cost of equipment increases excessively, and if too few are used, the risk of serious accidents increases.In this paper we consider the possibility of improving the design of such systems by applying risk-based optimization criteria. We propose an optimization methodology to solve this conflict by means of an objective function that analyzes the variations in overall costs, including the cost of the investment (with specific reference to blocking valves) and the cost of accidents. The result is an optimum situation in which costs are kept to a minimum. As an example, we apply the methodology to the transportation of gasoline by pipeline.  相似文献   

18.
基于可靠度理论的RBI修正模型研究   总被引:1,自引:1,他引:1  
基于风险的检测技术包括定性RBI判断和定量RBI计算,定性判断得到风险相对的高低,风险相对较低者则不必进行定量RBI计算,风险高者再进行下一步定量RBI计算。在API581中,国外风险分析统计表明,石化企业的风险分布范围有一个所谓的"二八"现象,即"80%的风险是由20%的设备引起",中高风险以上的设备范围一般在20%左右。但我国十套装置风险分析结果发现,这个结论在我国并不适用,我国中高风险设备往往在40%左右。论文分析了API581在中国应用的局限性,引入可靠度理论计算设备失效概率,预估未来的失效概率或可靠度,可以完整地以RBI方法在得知失效后果和失效概率下,评估出此设备在整个系统中所处的地位,从而适当地分配检测、维修资源,在RBI完成后再进行风险评价进而完成风险评估过程。  相似文献   

19.
A bow-tie diagram combines a fault tree and an event tree to represent the risk control parameters on a common platform for mitigating an accident. Quantitative analysis of a bow-tie is still a major challenge since it follows the traditional assumptions of fault and event tree analyses. The assumptions consider the crisp probabilities and “independent” relationships for the input events. The crisp probabilities for the input events are often missing or hard to come by, which introduces data uncertainty. The assumption of “independence” introduces model uncertainty. Elicitation of expert's knowledge for the missing data may provide an alternative; however, such knowledge incorporates uncertainties and may undermine the credibility of risk analysis.This paper attempts to accommodate the expert's knowledge to overcome missing data and incorporate fuzzy set and evidence theory to assess the uncertainties. Further, dependency coefficient-based fuzzy and evidence theory approaches have been developed to address the model uncertainty for bow-tie analysis. In addition, a method of sensitivity analysis is proposed to predict the most contributing input events in the bow-tie analysis. To demonstrate the utility of the approaches in industrial application, a bow-tie diagram of the BP Texas City accident is developed and analyzed.  相似文献   

20.
Importance Measures (IMs) are used to rank the contributions of components or basic events to the system performance, e.g. its reliability or risk. Most times, IMs are calculated without due account of the uncertainties in the model of the behavior of the system. The objective of this work is to investigate how uncertainties can influence IMs and to develop a method for giving them due account in the corresponding ranking of the components or basic events. The uncertainties considered in this work affect the model parameters values and are assumed to be described by probability density functions. The method for ranking the contributors to the system performance measure is applied to the auxiliary feedwater system of a nuclear pressurized water reactor.  相似文献   

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