重大危险源风险评价研究

运用马尔可夫过程研究了化工企业重大危险源事故发生的概率,在基于马尔可夫事故概率假设模型的基础上分析了化工企业事故概率数学模型.对重大危险源事故易发性、事故严重度、固有危险性及危险等级进行了评价,并进行了实例计算.     

道化学指数评价法在淮化集团某合成氨厂的应用

化工企业由于工艺装置复杂、产品危险性高等特点极易发生事故,极小的安全隐患往往导致重大事故给企业甚至国家带来严重损失。为探求潜在事故的危险性和总损失,在对淮化集团的合成氨厂生产工序流程分析基础上划分三个评价单元,应用美国道化学公司火灾爆炸指数评价法对此三个评价单元分别进行评价并量化可能造成的损失。评价结果显示各评价子单元的危险等级分别为非常大、很大和最轻,采取安全补偿措施后危险等级降为较轻、较轻和最轻,说明采取措施后若发生事故损失将会减少,通过对比补偿前后的财产损失可以说明这一结论。从另一角度来看,表明合成氨厂有较大的安全隐患需有关管理者采取措施以保障安全生产。采用的道化学指数法比较准确地反映出了被评价单位的实际情况,为化工企业的安全生产、安全管理提供了一定参考。     

某聚氯乙烯厂聚合车间生产系统危险性评价

在分析某聚氯乙烯厂聚合车间生产系统危险有害因素的基础上，结合我国化工企业安全生产的特点，应用道化学公司火灾、爆炸危险指数评价法（第7版）对聚合车间聚合、沉析过滤及尾气回收等主要危险工艺单元进行火灾、爆炸危险性评价，并提出了预防事故的安全对策措施。     

安全检查表对作业条件危险性分析方法修正的研究

通过安全检查表修正作业条件危险性分析法,进一步改进和完善了作业条件危险性分析法,采用修正后的作业条件危险性分析法对评价项目进行评价,评价结果能够更好地体现评价项目的实际风险等级.通过氧气站的评价实例,介绍了评价方法的具体应用,对适用情况进行了对比分析.     

化工反应装置危险性分析模式的研究

从近年来化工企业的安全生产事故可以看出,化工生产由于其自身的特点,具有较大的火灾爆炸危险性,因此,正确地对化工企业生产的危险性进行分析,对准确地评价化工企业的安全生产状况非常重要.针对化工企业的安全生产特点,提出了一种针对化工反应装置的危险性分析模式,不仅考虑了生产原料及工艺设备,同时也对工艺过程进行了危险性分析.应用实例表明,该模式对于化工装置的危险性分析具有较强的针对性和可靠性.     

商厦火灾危险性评价研究

商厦火灾是火灾中危害性较大的灾害之一，常常造成人员的大量伤亡和巨大的财产损失。商厦火灾危险性评价是一个减少火灾危险性的可行方法。在基于影响商厦火灾危险性因素之上，讨论了评价指标体系的建立及量化和权重的处理方法，然后应用模糊数学理论建立了评价商厦火灾的模糊评价模型，对商厦火灾的预防与商厦消防管理具有指导意义。     

基于PDCA模式的化工企业安全文化探讨

近年来,化工事故屡次发生,给国家和人民带来了巨大的经济损失.为了减少化工企业的安全生产事故,有的通过HSE管理体系降低安全事故率,有的通过危险性评价来控制危险源.从文化管理的角度探讨化工企业的安全文化建设问题,以期减少化工企业的安全生产事故. 根据安全文化管理的优势以及化工生产的特点,引入PDCA管理模型,把化工企业安全文化建设分4个阶段,系统地讨论了化工企业的安全文化建设问题,并且形成了一套化工企业的文化建设体系,可供企业参考.     

某电镀车间MLS危险性评价

在对某厂电镀生产车间危险源进行辨识的基础上，考虑到车间安全监控措施对系统危险性的影响，选用MLS法对该车间进行危险性评价，最后根据评价结果提出了事故防范的安全对策：以人为本，加强安全管理；改进工艺，达到本质安全；改善环境，加强个体防护。     

安全评价的过程、分类及法律要求

安全评价作为预测、预防事故的重要手段，将传统安全管理方法的凭经验进行管理，转变为预先辨识系统的危险性，事先预测、预防的“事前过程”。因此，可以说安全评价是安全管理和决策科学化的基础，是依靠现代科学技术预防事故的具体体现。     

医药工业企业安全性评价系统研究

制药企业存在特殊的危险性，为对此危险性进行深入分析而开发的医药工业企业安全评价系统，在参考国家医药管理局关于医药企业安全评价通则的基础上，以现场实际为出发点建成。该系统以简单的操作方式，完善的功能服务于生产实际。     

Major accidents in process industries and an analysis of causes and consequences

This paper briefly recapitulates some of the major accidents in chemical process industries which occurred during 1926–1997. These case studies have been analysed with a view to understand the damage potential of various types of accidents, and the common causes or errors which have led to disasters. An analysis of different types of accidental events such as fire, explosion and toxic release has also been done to assess the damage potential of such events. It is revealed that vapour cloud explosion (VCE) poses the greatest risk of damage. The study highlights the need for risk assessment in chemical process industries.     

基于多米诺效应的定量风险评价研究

多米诺效应是引发化工重大事故的主要原因之一.本文综合国内外的研究成果,对火灾热辐射、冲击波超压等造成的多米诺效应进行了深入分析,建立基于多米诺效应的定量风险评价模型,其中包括了评价流程、传播概率、阈值距离计算、多米诺效应对事故频率的影响及后果分析的内容.最后利用Matlab7.1计算平台,以汽油储罐进行实例分析,结果表明该方法是一种适用于多米诺效应定量评价的良好方法,能够比较科学、有效的对危险单元进行风险评价,使重大事故风险评价更切合实际,为政府监管部门和化工企业进行事故的控制和预防提供决策技术.     

基于LOPA逻辑的罐区多米诺效应定量风险评估*

为了更好地降低化工企业罐区事故造成多米诺效应的风险,提出1种基于保护层分析（LOPA）的定量风险评估程序。首先,阐述基于保护层分析(LOPA)逻辑的多米诺定量风险评估流程,即引入包括可用性、有效性及3种逻辑门定义及量化的安全屏障定量评估;然后,利用LOPA的分析逻辑将安全屏障融入多米诺定量风险评估框架中;最后,选取2×2 000 m3苯乙烯罐区为对象,识别防火层与喷淋冷却系统2种安全屏障并开展基于LOPA逻辑的罐区多米诺效应定量风险评估,得出安全屏障能有效地降低多米诺事故发生频率及罐区个人风险的结论。研究结果表明:该分析方法可为化工企业开展多米诺效应定量风险评估提供参考。     

Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources

An integrated approach for performance assessment and management of safety barriers in a systemic manner is needed concerning the prevention and mitigation of major accidents in chemical process industries. Particularly, the effects of safety barriers on system risk reduction should be assessed in a dynamic manner to support the decision-making on safety barrier establishments and improvements. A simulation approach, named Simulink-based Safety Barrier Modeling (SSBM), is proposed in this paper to conduct dynamic risk assessment of chemical facilities with the consideration of the degradation of safety barriers. The main functional features of the SSBM include i) the basic model structures of SSBM can be determined based on bow-tie diagrams, ii) multiple data (periodic proof test data, continuous condition-monitoring data, and accident precursor data) may be combined to update barrier failure probabilities and initiating event probabilities, iii) SSBM is able to handle uncertainty propagation in probabilistic risk assessment by using Monte Carlo simulations, and iv) cost-effectiveness analysis (CEA) and optimization algorithms are integrated to support the decision-making on safety barrier establishments and improvements. An illustrative case study is demonstrated to show the procedures of applying the SSBM on dynamic risk-informed safety barrier management and validate the feasibility of implementing the SSBM for cost-effective safety barrier optimization.     

信息可视化在化工企业水环境安全影响评价中的研究及应用

运用data system.exe技术,对水环境评价系统功能模块进行设计;提出水环境影响评价信息可视化软件的设计方法;建立水环境污染因子数据信息可视化软件,并应用该软件对石油化工企业的水环境进行了初步的风险评价。结果表明:该软件能在识别污染因子数据信息的同时生成与之相匹配的直观的模拟环境图像,有助于管理者进行及时分析与决策;通过输入水环境污染因子监测值后,系统可以自动判定环境的污染的程度,并把对应环境质量的级别、环境的安全程度以及污染对人体与生物的影响程度在图中显示出来,能够有效地提高环境影响评价的可靠度;评价示意图中的评价因子可以根据需要进行增加或更换,有助于该系统的推广应用,建立的环境污染因子数据信息可视化模型具有很强的适用性。     

Communicating costs and benefits of the chemical industry and chemical technology to society

Risk Communication is increasingly important to the chemical and manufacturing industries in the wake of a wave of major incidents in recent years. However, risk communication strategies as they are currently implemented tend to place the chemical industry on the defensive. Renewed attempts should be made to place the life-saving benefits of the chemical industry back in the public eye and counter-balance the popular political view that the chemical industry is often responsible for loss of life. In truth, while the chemical industry suffers on the job fatalities like many industries, the frequency is much less than many common industries and the chemical industry provides benefits to society that ultimately save far more lives.     

ExSys-LOPA for the chemical process industry

The chemical process industries are characterized by the use, processing, and storage of large amounts of dangerous chemical substances and/or energy. Among different missions of chemical plants there are two very important ones, which: 1. provide a safe work environment, 2. fully protect the environment. These important missions can be achieved only by design of adequate safeguards for identified process hazards. Layer of Protection Analysis (LOPA) can successfully answer this question. This technique is a simplified process of quantitative risk assessment, using the order of magnitude categories for initiating cause frequency, consequence severity, and the likelihood of failure of independent protection layers to analyze and assess the risk of particular accident scenarios. LOPA requires application of qualitative hazard evaluation methods to identify accident scenarios, including initiating causes and appropriate safeguards. This can be well fulfilled, e.g., by HAZOP Studies or What-If Analysis. However, those techniques require extensive experience, efforts by teams of experts as well as significant time commitments, especially for complex chemical process units. In order to simplify that process, this paper presents another strategy that is a combination of an expert system for accident scenario identification with subsequent application of LOPA. The concept is called ExSys-LOPA, which employs, prepared in advance, values from engineering databases for identification of loss events specific to the selected target process and subsequently a accident scenario barrier model developed as an input for LOPA. Such consistent rules for the identification of accident scenarios to be analyzed can facilitate and expedite the analysis and thereby incorporate many more scenarios and analyze those for adequacy of the safeguards. An associated computer program is under development. The proposed technique supports and extends the Layer of Protection Analysis application, especially for safety assurance assessment of risk-based determination for the process industries. A case study concerning HF alkylation plant illustrates the proposed method.     

Risk assessment tools incorporating human error probabilities in the Japanese small-sized establishment

Although it has been estimated that as many as 80% of all occupational accidents have human errors as a cause, no risk assessment tools incorporating human-related elements have been developed for small companies. Human error probability (HEP) and human error analysis (HEA) have been used for large-scale, safety-critical industries for last three decades, but these tools are not suitable for smaller, more general industries that comprise the majority of accident settings.Here, we describe and verify a risk assessment tool that includes human-related elements for small companies. The tool expands on traditional risk assessment methods, such as matrix, risk graph and numerical scoring method, by adding human-related elements. The tool is easy-to-use in occupational environments, and includes assessments of human behavior and potentially outdated machinery at work place.     

A semi-quantitative methodology for risk assessment of university chemical laboratory

University chemical laboratory is a high-risk place for teaching and scientific research due to the presence of various physical and chemical hazards. In recent years, university chemical laboratory accidents occur frequently. This urges the need to enhance university chemical lab safety. A semi-quantitative methodology comprising Matter-Element Extension Theory (MEET) implemented with Combination Ordered Weighted Averaging (C-OWA) operator is proposed to assess the risk of a university chemical laboratory. First, an index-based risk assessment system of university chemical laboratory is built by identifying various risk factors from a system perspective. Then, C-OWA operator is used to calculate the weight of assessment indices, whereas MEET is employed to determine the correlation degree of assessment indices. Finally, the comprehensive risk of university chemical laboratories is assessed, and some safety measures are proposed to reduce the risk of university chemical laboratories. The applicability of the proposed methodology is tested using a practical case. It is observed that the methodology can be a useful tool for risk assessment and management of university chemical laboratories.     

Terror-Proofing Chemical Process Industries

The chemical process industries (CPI) handling hazardous chemicals can be rather attractive targets for deliberate adversarial actions by terrorists, criminals and disgruntled employees. The damage inflicted may include casualties, economic loss and political fallout. There is an urgent need for each facility to have a security management programme. Its essential components are security risk assessment, security countermeasures and emergency response.

Security risk assessment can be carried out qualitatively by threat analysis, vulnerability analysis and developing a Security Risk Factor Table (SRFT). All these are discussed at length. Security countermeasures are the steps taken to strengthen the weak points in a system, either by lessening vulnerabilities or by hardening the facilities. Various security countermeasures are suggested for improving security of CPI. Appropriate emergency response measures that could mitigate the consequences of a successful attack are also discussed in the paper. It is recommended that many of the conventional safety and security measures adopted thus far may have to be modified in light of the enhanced and complex nature of the present security threats.