危险化学品事故后果计算过程探讨

基于事故后果的风险评估方法是国内外进行安全评价和土地使用安全规划的基础方法之一。本文基于危险化学品种类和危险装置类型,对可能发生的事故情景和相应事故后果计算模型的选择方法进行了阐述,针对易燃、易爆、有毒危险化学品的事故后果计算过程进行了系统分析。最后对本文提出的事故后果分析方法进行了实例应用。本文的研究成果可为安全评价或土地使用安全规划等工作的开展提供必要的参考。     

2006-2010年我国危险化学品事故统计分析研究

本文基于＂十一五＂期间我国危险化学品事故统计数据,从事故类别、事故发生区域、事故发生时间、企业经济类型、危险化学品类别、危险化学品事故发生环节等方面进行分析,结果表明,中毒与窒息事故和爆炸事故占危险化学品事故主要类型,易燃液体、易燃气体、爆炸品和腐蚀性物质是引发危险化学品事故的主要危险物质类型,生产环节是事故发生的主要环节,违反操作规程或劳动纪律与设备设施工具附件有缺陷是导致事故的重要原因。从落实企业安全生产主体责任、提升本质安全化水平、开展重大危险源普查、建立安全监管网络、加强危险化学品产业布局、提高事故应急救援能力等方面提出了预防和控制危险化学品事故的对策建议。     

Study of chemical supply system of high-tech process using inherently safer design strategies in Taiwan

The photoelectric, semiconductor and other high-tech industries are Taiwan's most important economic activities. High-tech plant incidents are caused by hazardous energy, even when that energy is confined to the inside of the process machine. During daily maintenance procedures, overhauling or troubleshooting, engineers entering the interior of the machines are in direct contact with the source of the energy or hazardous substances, which can cause serious injury. The best method for preventing such incidents is to use inherently safer design strategies (ISDs); this approach can fully eliminate the dangers from the sources of hazardous energy at a facility.This study first conducts a lithography process hazard analysis and compiles a statistical analysis of the causes of the fires and losses at high-tech plants in Taiwan since 1996, the aim being to establish the necessary improvement measures by using the Fire Dynamics Simulation (FDS) to solve relevant problems. The researchers also investigate the lithography process machine in order to explore carriage improvement measures, and analyse the fires' causes and reactive materials hazardous properties, from 1996 to 2012. The effective improvement measures are established based on the accident statistics. The study site is a 300 mm wafer fabrication plant located in Hsinchu Science Park, Taiwan.After the completion of the annual maintenance jobs improvement from September 2011 to December 2012, the number of lithography process accidents was reduced from 6 to 1. The accident rate was significantly reduced and there were no staff time losses for a continuous 6882 h. It is confirmed that the plant safety level has been effectively enhanced. The researchers offer safety design recommendations regarding transport process appliances, chemical storage tanks, fume cupboard devices, chemical rooms, pumping equipment, transportation pipelines, valve manual box (VMB) process machines and liquid waste discharge lines. These recommendations can be applied in these industries to enhance the safety level of high-tech plants, facilities or process systems.     

Research on three-dimensional visualization system of Natech events triggered domino accidents in oil-gas depots

Natech events and domino accidents happen worldwide and usually lead to severe consequences, especially in hazardous areas such as Oil-Gas depots. With the continuous development of the Oil-Gas industry and information technology, it is essential to realize the three-dimensional management and monitoring of hazardous substances. To evaluate the consequences caused by Natech events triggered domino accidents (accident chain), a matrix loop method was proposed to calculate the probability and evolution path of the accident chain. The actual layout and the real-time data of the Oil-Gas depot are input into the evaluation method in matrices, thus making the results reliable and updated. Besides, a B/S architecture system is developed to present the evaluation consequences of the proposed method. The three-dimensional visualization effects of natural disasters, technological accidents and the dynamic propagation process of the accident chain are also realized in the system to enhance the user's experience. A system application regarding lightning-triggered domino accidents was carried out to demonstrate the feasibility and rapidity of the proposed evaluation method and perform the system's operation process and visualization effects. The application results show that the system can provide effective decision-making assistance to safety management workers before the accident and guidance for emergency rescue operations during the accident.     

Dynamic risk assessment using failure assessment and Bayesian theory

To ensure the safety of a process system, engineers use different methods to identify the potential hazards that may cause severe consequences. One of the most popular methods used is quantitative risk assessment (QRA) which quantifies the risk associated with a particular process activity. One of QRA's major disadvantages is its inability to update risk during the life of a process. As the process operates, abnormal events will result in incidents and near misses. These events are often called accident precursors. A conventional QRA process is unable to use the accident precursor information to revise the risk profile. To overcome this, a methodology has been proposed based on the work of Meel and Seider (2006). Similar to Meel and Seider (2006) work, this methodology uses Bayesian theory to update the likelihood of the event occurrence and also failure probability of the safety system. In this paper the proposed methodology is outlined and its application is demonstrated using a simple case study. First, potential accident scenarios are identified and represented in terms of an event tree, next, using the event tree and available failure data end-state probabilities are estimated. Subsequently, using the available accident precursor data, safety system failure likelihood and event tree end-state probabilities are revised. The methodology has been simulated using deterministic (point value) as well as probabilistic approach. This Methodology is applied to a case study demonstrating a storage tank containing highly hazardous chemicals. The comparison between conventional QRA and the results from dynamic failure assessment approach shows the significant deviation in system failure frequency throughout the life time of the process unit.     

基于多Agent的危险化学品安全生产信息采集系统设计

安全生产监管是政府的重要职责,直接关系到国家财产和人民生命安全.安全生产监管中,以危险化学品的监管为重中之重.提高安全生产监管的信息化程度是降低监管强度、提高监管效率行之有效的方法.构建了由管理Agent、采集Agent、故障诊断Agent、通信Agent组成的分布式信息采集多Agent系统,将安监局监管中心对危险化学品生产过程监管的信息采集任务下移到企业端,利用多Agent系统实现危险源生产状态参数的采集、监控及分析;设计了该信息采集系统各类Agent的结构和功能.利用多Agent系统实现分散于各企业的危险源生产状态参数的信息采集、监控及分析,预测和诊断生产过程中的异常状况.通过Agent之间的合作、并行求解使危险化学品安全生产信息采集的问题得到较好地解决.     

基于演化博弈的危化品安全监管情景推演研究

针对危化品安全生产监管问题,基于演化博弈理论构建危化品安全监管演化博弈模型,并将危化品事故发生率引入模型,对比分析危化品企业与地方政府监管部门行为策略的演化稳定均衡。在此基础上进行情景推演模拟仿真,研究表明:危化品事故发生率,对危化品企业和地方政府监管部门的策略选择有显著影响,当危化品事故发生概率低于某一临界值时,危化品企业和监管部门都会疏忽安全投入和监管;地方政府承受危化品事故经济损失和信誉损失增大时,危化品安全监管系统演化呈现出周期性波动;引入上级政府惩罚机制情景下,当上级政府惩罚力度高于危化品企业未投入安全生产受到的处罚和地方政府安全监管成本时,其最终都选择安全投入和严格监管策略。研究结论为政府监管危化品安全生产提供新的思路和对策建议。     

基于Apriori算法的易燃易爆危险化学品储运火灾爆炸事故关键致险因素的挖掘

导致易燃易爆危险化学品储运火灾爆炸事故的因素繁多、关系复杂,挖掘关键致险因素是减少管理成本、提高防控效率的关键。研究了200例事故等级为较大事故以上的易燃易爆危险化学品储运火灾爆炸事故的原因,采用事故树分析法建立易燃易爆危险化学品储运火灾爆炸事故树,并运用频度统计法遴选出致险因素;在此基础上,建立基于Apriori算法的关联规则模型进行数据挖掘,共得到14个关键致险因素。通过对关键致险因素与易燃易爆危险化学品储运火灾爆炸事故之间关联规则的分析表明,关键致险因素与事故之间存在强关联规则,单一关键致险因素或其组合的存在必将导致事故的发生,为实现危险化学品储运精准化安全管理提供参考。     

危险化学品公路运输事故新特点及对策研究

统计分析了2008年1月～2010年5月我国发生的485起危险化学品公路运输事故。从事故发生的原因、事故涉及的化学品、事故造成的危害、事故发生的月份分布及年份变化等几个方面,分析了近年来危险化学品公路运输事故的新特点及变化规律。经统计分析,道路交通事故是引发危险化学品运输事故的主要原因之一;侧翻是危险化学品车辆最容易发生的道路交通事故;而随着我国高速公路的迅猛发展,追尾造成的危险化学品运输事故数量呈上升趋势;危险化学品公路运输过程中易燃液体事故起数最多,爆炸品和毒性物质事故造成的人员伤亡最严重;春节前后取代夏季,成为近两年危险化学品运输事故高发期。针对这些特点,对我国危险化学品公路运输安全管理与监控提出了建议。     

零星危险化学品快递运输风险博弈分

针对零星危险化学品运输中的安全隐患问题,应用博弈理论构建了政府、快递企业、零星危险化学品托运人的三方博弈模型,对零星危险化学品安全运输问题进行了研究。在求得博弈模型均衡解的基础上,对均衡解进行了深入分析,研究结果表明:政府的最优检查概率与快递企业的安全管理成本正相关,与快递企业发生事故时的损失负相关;快递企业实施安全管理的概率与政府对快递企业的惩罚、快递企业发生事故时政府的损失正相关,与政府的检查成本、托运人选择托运且安全运输时的收益负相关;托运人选择托运的概率与快递企业实施安全管理的成本正相关。最后为有效杜绝零星危险化学品运输事故的发生提出了相应对策。     

基于“纵深防御”原则的危化企业事故预防系统建立

危险化学品生产是当前的高危行业和安全管理的重点领域。面对事故频发的严峻形势,如何开展好危险化学品生产企业的安全管理,建立事故预防系统防止事故的发生非常关键。“纵深防御”原则作为核电厂实现核安全的一项基本原则,为核电厂长期稳定安全的发展奠定了坚实的基础,对危化企业提升事故预防能力,建立事故预防系统有较强的借鉴意义。借鉴“纵深防御”原则,文章分析危化企业应用“纵深防御”原则预防和减少事故发生的必要性,结合生产特点建立了事故纵深防御系统,对企业提高安全管理水平,预防事故的发生有重要的意义。     

基于危化品事故案例的决策规则提取算法研究

为充分解析文本形式的危化品事故案例,探讨事故类型与大量事故致因间的因果关联,从化工行业入手,通过扎根理论对175起危化品事故案例进行因素提取,共确定5个子系统、19个因素、80个子因素,提出基于事故生命周期的事故致因框架;在此基础上,提出改进的Gra-Apriori算法,以解决经典的Apriori无法考虑属性类别关系的...     

企业生产系统危险源的结构、特征及其辨识

根据社会-技术系统理论,企业的生产系统可看作是一个多层递阶控制系统,该系统可能呈现不同的安全状态;应用系统科学理论分析表明,企业生产系统的安全功能缺陷是危险源可能的存在形式,而企业生产系统的集成缺陷是其安全功能缺陷的重要原因,危险源具有层次化的结构和对象化的特征;对比分析表明,要全面认识企业生产系统的危险源,需在对工作场所危险生成和事故发生原因进行基本的要素分析的基础上,结合企业生产系统状态和功能进行分析。总之,综合应用多种危险源分析和辨识方法,从系统要素、系统状态和系统功能的角度可更好地认识危险源。     

危险品道路安全运输路径优化方法探讨

危险品道路运输量逐年增加,对人类安全健康的危害的风险正在扩大和加深,一旦发生事故,其后果极为严重。笔者从人-机-环境角度分析了危险品道路运输系统的组成要素,基于对运输网、运输风险源、后果影响区域3个层次辨识,分析运输过程中的风险影响因素,提出危险品道路运输路径优化选择的一般方法;并给出危险品道路运输线风险源的可接受个人风险和社会风险标准;探讨了危险品运输约束最优化选线模型。路径优化选择可减少运输沿线影响人员风险和事故概率,优化影响人员风险与运输效率冲突问题,为政府监管部门与危险品运输企业提供了安全管理的基本决策依据。     

STAMP模型在危化品道路运输事故分析中的应用研究

为保障危化品道路运输行车安全,基于STAMP模型构建危化品道路运输的分层安全控制结构,将安全问题看作是控制问题,并将系统工程思想融入事故预防中。在此基础上,引入沪昆高速湖南邵阳段“7.19”特别重大道路交通危化品爆燃事故并对其进行实证分析,从物理层、基础层、运营层及监管层动态分析导致事故发生的控制缺失。结果表明:基于STAMP模型的安全分析方法不仅可考虑由组件失效引起的事故,还可发现组件之间的组织问题及决策背景,并对事故致因做出更为详细的解释,为类似事故的分析和预防提供思路与参考。     

System safety assessment using safety entropy

Safety assessment has a primary role in hazardous operations. Most studies on safety assessment focus on risk and accident modeling, in which safety is absent. These top-down methods are highly dependent on the occurred accidents to establish accidental scenarios, which may make the assessment approach lagging behind the evolving modern systems. Moreover, this “special to general” logic is scientifically suspect in safety assessment. There is a call for the development of safety assessment methods in the presence of system safety to complement risk-focused safety analysis. These methods should provide a framework based on a bottom-up approach to examine system safety from the operational perspective. This paper has attempted to provide a potential solution. In particular, a novel concept of safety entropy is proposed to integrate with The Functional Resonance Analysis Method (FRAM), which is used to form the qualitative understanding of a system. A formula consisted of safety entropy, functional conformability, and system complexity has been established to determine the spontaneity of the safety state-changing process. The proposed method is applied to the safety assessment of a propane feed-control system. The results show the applicability of the method. Nevertheless, the model still needs to be further improved to fulfill better support for safety-related decision problems.     

Real-time risk assessment of explosion on offshore platform using Bayesian network and CFD

Combustion or explosion accident resulting from accidental hydrocarbon release poses a severe threat to the offshore platform's operational safety. Much attention has been paid to the risk of an accident occurring over a long period, while the real-time risk that escalates from a primary accident to a serious one was ignored. In this study, a real-time risk assessment model is presented for risk analysis of release accidents, which may escalate into a combustion or explosion. The proposed model takes advantage of Fault Tree-Event Tree (FT-ET) to describe the accident scenario, and Bayesian network (BN) to obtain the initial probability of each consequence and describe the dependencies among safety barriers. Besides, Computational Fluid Dynamics (CFD) is applied to handle the relationship between gas dispersion and time-dependent risk. Ignition probability model that considering potential ignition sources, gas cloud, and time series are also integrated into this framework to explain the likelihood of accident evolution. A case of release accidents on a production platform is used to test the availability and effectiveness of the proposed methodology, which can be adopted for facilities layout optimization and ignition sources control.     

糠醛厂生产过程安全评价

对企业生产过程中的危险有害因素进行安全评价,是当前企业预防事故发生的有效手段。安全评价技术在国内外已有较长的发展历史,但关于糠醛生产过程的安全评价方法及研究还比较匮乏。在糠醛生产过程中存在着火灾、爆炸、中毒、噪声等危险因素,极易造成大量的人员伤亡和财产损失。根据某糠醛厂的实际情况,结合安全评价的基本程序,采用重大危险源辨识及事故树分析评价法,对危险有害因素进行辨识和评价。结果显示,糠醛厂存在着锅炉超压爆炸的危险,利用事故树分析法可以及时的找出预防途径,有针对性地提出安全改进的合理建议,从而进一步改善糠醛厂生产过程中的环境。评价的结果对糠醛生产企业进行安全决策、减少事故隐患,具有积极的指导意义。     

Dynamic failure assessment of an ammonia storage unit: A case study

Chemical Process Industries usually contain a diverse inventory of hazardous chemicals and complex systems required to perform process operations such as storage, separation, reaction, compression etc. The complex interactions between the equipment make them vulnerable to catastrophic accidents. Risk and failure assessment provide engineers with an intuitive tool for decision making in the operation of such plants. Abnormal events and near-miss situations occur regularly during the operation of a system. Accident Sequence Precursors (ASP) can be used to demonstrate the real-time operating condition of a plant. Dynamic Failure Assessment (DFA) methodology is based on Bayesian statistical methods incorporates ASP data to revise the generic failure probabilities of the systems during its operational lifetime.In this paper, DFA methodology is applied on an ammonia storage unit in a specialized chemical industry. Ammonia is stored in cold storage tanks as liquefied gas at atmospheric pressure. These tanks are susceptible to failures due to various abnormal conditions arising due process failures.Tank failures due to three such abnormal conditions are considered. Variation of the failure probability of the safety systems is demonstrated. The authors use ASP data collected from plant specific sources and safety expert judgement. The failure probabilities of some safety systems concerned show considerable deviation from the generic values. The method helps to locate the components which have undergone more degradation over the period and hence must be paid attention to. In addition, a Bayesian predictive model has been used to predict the number of abnormal events in the next time interval. The user-friendly and intuitive nature of the tool makes it appropriate for application in safety assessment reports in process industries.