基于风险的突发事件应急准备能力评估方法

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。     

Risk-based asset integrity indicators

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.     

基于未确知测度理论的巷道稳定性评价

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。     

Optimal gas detector placement under uncertainty considering Conditional-Value-at-Risk

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.     

Risk-based shutdown management of LNG units

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.     

Importance and uncertainty analysis of flue gas scrubber systems with extreme reliability parameter values

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.     

Risk-based inspection for large-scale crude oil tanks

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.     

基于未确知测度理论的公路隧道水害危险性评价

基于未确知测度理论,建立公路隧道水害危险性评价模型。从内因和外因的视角分析,同时将内因分为水害来源、通道、水量三个部分,采取隧道区降水量、地表水文情况、隧道区渗透系数、构造断裂带类型、围岩分级、岩土分类、单位涌水量、隧道区平均气温、隧道区植被覆盖率、隧道区地下水腐蚀性(酸性)、防排水措施情况、隧道施工分级、安全管理情况等共13项指标作为为确知测度模型的判别指标;根据相应的实测数据构建未确知测度函数,同时利用信息熵理论获得各判别指标的权重,依据置信度识别准则进行等级判定,最后得出公路隧道水害危险性评价结果。运用该方法对国内6条典型公路隧道的水害危险性进行评价,评价结果与公路隧道实际情况相吻合。因此,这种新方法能够应用到公路隧道水害的危险性评价中,并能解决公路隧道危险性评价的诸多因素不确定性问题,对其进行合理有效的评价。     

户外端子箱操作人因可靠性及其风险评价

为正确评价人为因素对户外端子箱失效的影响,利用CREAM(Cognitive Reliability and Error Analysis Method)模型的共同绩效条件分析端子箱操作过程中人的行为机理以及行为可靠性因素;应用SLIM(Success Likelihood Index Method)模型计算人为失误概...     

制药企业人因可靠性评价指标体系的设计研究

通过分析人因可靠性评价的研究现状,以某制药企业人因失误事故原因统计为依据,在S O R理论基础上,对其进行了改进,重点强调作业者的特征和所处环境,特别是强调作业者所遵从的规则、文化、态度和目标,设计了制药企业人因可靠性评价指标体系。然后利用层次分析法（AHP）计算了指标体系的权重系数。最后对某制药企业生产线工作人员进行了实证分析,为其人员的安全管理提出意见建议,从而加强企业的安全生产提供人因保障。     

基于马尔可夫的地面控制井下安全阀可靠性评估

为保障地面控制井下安全阀系统的安全运行，防止系统发生故障，建立了井下安全阀可修复系统的马尔可夫模型；针对系统设备构成复杂及共因故障等问题，基于β因子模型描述共因失效，同时将模型划分为3个独立模块，通过克罗内克积方法合并，评估系统可靠性；参照OREDA可靠性数据，定量求解井下安全阀系统可用度、可靠度以及稳态指标，研究模型中状态转移概率对系统稳态可用度的影响。研究结果表明:井下安全阀系统的可用度随时间增长而迅速到达稳态值；系统检修周期应小于2.5 a；根据可靠性分析结果，运营方应考虑系统经济与可靠性间的博弈关系，合理优化系统冗余结构与维修周期管理，防止井下安全阀系统失效。     

A new approach to quantitative assessment of reliability of passive systems

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.     

基于云模型的电梯运行可靠性模糊综合评估

针对目前电梯可靠性评估中存在随机性和模糊性等不确定性的问题,提出了一种基于熵权法、云模型和模糊综合评价法的电梯运行可靠性评估模型。通过分析电梯各个子系统的主要特征量,建立了电梯运行可靠性评估指标体系,并运用熵权法确定各指标的权重。根据云模型实现定量指标与定性概念之间的转换,得到定量评估指标的等级隶属度。最后基于模糊综合评价法,对各指标信息进行自上而下地综合,得到整体的可靠性评估结果。实例表明了该模型的正确性与有效性,能够对电梯的状态检修提供参考。     

基于模糊随机可靠性的边坡稳定性评价

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。     

公路网规划环境影响评价中的困难和不确定性分析

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.     

基于风险的石油化工园区安全规划研究

为解决石油化工园区目前以标准规范规定的距离进行区域规划存在的局限性,提出基于风险进行石油化工园区安全规划的技术思路;研究、建立石油化工园区定量风险评估和区域规划技术方案,包括:危险源的辨识、评估单元选择、事故类型筛选、不同目标的风险标准、园区累积风险计算和基于风险进行区域规划的基本原则;应用建立的定量风险评估区域规划技术方案,对一石油化工园区光气及光气化产品项目进行定量风险评估、区域规划和布局,并与目前执行的距离标准进行对比分析。基于风险的石油化工园区安全规划,综合考虑危险源的危险特性和不同目标的风险承受能力,较之于距离法具有更强的针对性。     

Integration of fuzzy reliability analysis and consequence simulation to conduct risk assessment

Losses of containment within the natural gas network, located in most populated areas, could cause environmental damage, injuries, or even death. Accordingly, it is pivotal to adopt proper approaches to assess and mitigate the risk arising from potential losses. Within this context, it is required to exploit solid reliability and consequence analysis techniques. To this end, this paper presents a methodology established on the integration of a Fuzzy Bayesian Network and consequence simulation. The Bayesian Network is more flexible and realistic than classic approaches because it can consider conditional probabilities and prior information. Furthermore, Leaky Noisy-OR Gates are exploited to allow an easier filling of the Conditional Probability Tables. This task is performed through expert elicitation, adopting Intuitionistic Fuzzy Set Theory and Similarity Aggregation Method. Finally, the severity analysis is performed via a software, named Safeti, which provides an accurate evaluation of the consequences. To show the applicability of the framework, a pressure regulator of a Natural Gas Regulating and Metering Station is considered as case study. The proposed approach can assist asset managers in evaluating the risk arising from the operations, and, accordingly, it can guide them in making maintenance-related decisions to assure the safety of the operations.     

Risk-based maintenance policy selection using AHP and goal programming

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.