Process safety data management program based on HAZOP analysis and its application to an ethylene oxide/ethylene glycol plant

HAZOP analysis is a process hazard analysis method that has been widely applied both within and outside the chemical processing industries. This paper presents a design method for a process safety data management program for petrochemical plants based on HAZOP analysis and demonstrates the steps of application involved in building a process safety data management system for an ethylene oxide/ethylene glycol production plant. Firstly, the production data files and relevant documents of the plants should be classified and stored in the program database as reference documents and treatment schemes for coping with abnormal situations should be collected and summarized as guidance documents. Secondly, the HAZOP analysis method is employed to identify all the dangerous deviations possibly existing in the production process of the ethylene oxide/ethylene glycol plant. Then, the relationships among the deviations, the reference documents and the guidance documents should be considered and evaluated. Finally, each dangerous deviation will be given a corresponding reference document and guidance document. The reference documents and guidance documents stored in the expert system can be utilized to help operators solve the corresponding technical problems and cope with abnormal situations. The process safety data management program will contribute to the identification, analysis and resolution of operation problems. When an abnormal situation occurs, according to the deviations exhibited in the system, the necessary reference documents and guidance documents will be quickly consulted by the operators, and an appropriate decision will be made to address the abnormal situation. Therefore, by using the process safety data management program, plant security and human safety in the petrochemical industries will be improved.     

A new intelligent assistant system for HAZOP analysis of complex process plant

There are several problems that should be solved in the practical application of HAZOP analysis, such as the inheritance instrument of experience knowledge, the classification of accident reasons, the recurrence of analysis process and the verification of analysis results. This paper presents a new HAZOP assistant program named HELPHAZOP, which can be used to cope with these problems. With the aid of this program, a number of influence relationship models, which can be utilized to present the relationship structure of the whole system, can be established, and a variety of spread paths, which can be employed to describe the occurrence of the accidents, can be identified. These models and paths can help analyzers to understand the analysis process of different chemical processes and to verify the analysis results. Experience knowledge or information of process parameters stored in this program, including deviations, abnormal reasons, consequences and disaster-causing ways, can contribute to the analysis of some new plants. The program has been applied in the HAZOP analysis process of residuum hydrotreating process. The probability of the human errors which would be happened because of the misunderstanding or the deficiency of plant experience in the HAZOP analysis has been reduced and the accuracy, practicability and analysis efficiency of the accident forecast have been greatly improved.     

基于知识图谱的建筑工程施工事故智能分析

为预防和减少建筑工程施工事故,应用人工智能领域知识图谱技术,对建筑工程施工事故进行分析。通过定义领域知识图谱概念体系结构,从建筑工程施工事故数据中提取关键知识要素,构建建筑工程施工事故知识图谱,将其储存在Neo4j图数据库中,并提出基于知识图谱的建筑工程施工事故分析流程,针对事故相关信息开展查询、统计分析以及关联路径分析等智能分析。研究结果表明：基于知识图谱技术,将建筑工程施工事故知识以可视化图形或表格等进行展示,将事故信息以知识形式结构化存储及表达,可有效提高事故分析工作效率,为事故预防以及安全管理提供决策支持。     

基于SDG模型的HAZOP分析方法在钻井作业中的应用

HAZOP分析方法是目前危险性分析领域最盛行的分析方法之一,广泛地应用于石油化工行业。但是其分析过程仅依靠专家积累的知识与经验,不仅评价的内容不严格,而且分析的可信程度有限,对实际工作的指导意义不高,不能适应工业现场的要求。鉴于HAZOP分析方法中的不足,提出了基于SDG模型的HAZOP分析方法,并利用该方法对钻井作业过程进行了危险性分析。基于SDG模型的HAZOP分析方法从复杂系统的内部逻辑入手,进行深层次的推理,不仅提高了分析效率,而且分析所得结果的完备性较好。     

基于行为安全理论的化工事故统计及分析

行为安全理论是事故分析和预防的理论和方法,应用基于行为安全理论的事故致因“2-4”模型对10起化工事故的直接、间接、根本、根源原因进行分析。结果表明:该模型是化工事故分析的有效方法。10起事故的直接原因主要为一线员工在涉及高温加热工艺、带压设备、有毒有害环境和动火作业中的违规违章操作,管理人员未建立或运行安全管理体系等不安全动作及不安全物态,且不安全物态与管理人员不安全行为有关;间接原因是一线员工缺乏岗位安全操作等知识,管理人员缺乏安全管理、技术等知识,导致其安全意识薄弱,养成不良的安全习惯;根本原因是组织安全教育等管理程序缺失和执行不力;根源原因是组织成员对安全的重要度等安全文化元素缺乏理解。     

基于三角模糊数的HAZOP分析在石油化工装置中的应用

工艺危害分析强调运用系统的方法对危害进行辨识、分析,并采取必要的措施消除和减少危害。HAZOP分析能对工艺过程非常系统、全面的进行分析,但传统的HAZOP分析在量化风险时,对于偏差原因发生的可能性评价存在较大的主观性。本文对于没有统计资料的HAZOP分析偏差原因发生可能性,采用专家打分法,利用三角模糊数来表示其模糊发生概率。对于有统计资料的偏差原因,直接表示成三角模糊数。这种方法能够很好的表示HAZOP分析偏差发生概率。介绍了基于三角模糊数的HAZOP分析步骤,并在石油化工装置中进行了应用。这对HAZOP分析技术在石油化工装置中的推广具有重要意义。     

化工生产事故预防信息系统研究

为指导操作人员正确地处理化工生产过程中的问题,防范人为误操作导致的事故发生,开发了以化工生产的危险与可操作性分析结果和典型事故原因分析结果为知识库的事故预防信息系统.系统实时在线监测化工生产过程中的关键变量,通过判定变量间的影响关系,实现对化工生产过程潜在危险的辨识、预警并给予实时操作指导,以确保生产安全,提高装置的生产效率.最后,以丙烯聚合工艺为例,在多功能过程试验控制平台上进行了验证,探讨了事故预防信息系统的应用方法.     

安全仪表系统等级划分与HAZOP分析的结合应用

介绍了安全仪表等级的划分和HAZOP分析，并用此方法分析了苯酐装置。大多数现役或在建苯酐装置的氧化反应器存在较大的火灾、爆炸危险性，一旦在操作、控制和管理上稍有疏忽，就可能发生火灾、爆炸事故。HAZOP方法针对指定系统进行结构化和系统化的审查，辨识系统中潜在的危害和潜在操作问题，基于HAZOP给出安全仪表等级是今后安全设计的一条新路。     

Misoperation monitoring and early warning during startup and shutdown of petrochemical units

Most petrochemical units run under extreme conditions, such as high temperatures, pressures, and speeds. Consequently, the equipment operators may commit errors because the startup and shutdown processes usually involve complicated operation steps; moreover, the operators may lack experience in handling abnormal situations. Misoperation can lead to accidents, including fires and explosions. Thus, risk analysis for process operations and the development of preventive measures have become an effective means of avoiding misoperation-related accidents. However, it is challenging to ensure the comprehensiveness of risk-analysis results. In this paper, we present a method for misoperation monitoring and early warning in the startup and shutdown processes of petrochemical units. The mechanisms of misoperation occurrence are summarized based on investigations of serious accidents in the recent past. Knowledge regarding the mechanisms of misoperation is crucial for the risk analysis of petrochemical units. The potential risk information, such as causes, adverse consequences, key monitoring parameters, and prevention control solutions, should be acquired and be employed to construct an early-warning knowledge database. Furthermore, misoperation judgment rules need to be formulated to identify misoperations. The data obtained from the monitoring module, misoperation judgment rules, and analysis results can aid in developing schemes to avoid possible abnormal situations. This paper reports a misoperation monitoring and early-warning system for a hydrogenation unit. As demonstrated, conducting risk analysis to determine the potential operational risks and formulating misoperation judgment rules to analyze the process data are essential for enabling early warning. The application of this method will contribute to operational guidance, economic loss reduction, and accident avoidance.     

计算机辅助HAZOP技术的研究

在HAZOP原理的基础上,讨论了计算机辅助HAZOP技术的优势,并针对传统的HAZOP、基于深层知识模型SDG的计算机辅助HAZOP和应用PHA-Pro软件3种方法进行了分析和比较;介绍了研发成功的针对开、停车过程和应急阶段顺序颠倒、操作步骤遗漏的人工误操作危险与可操作性分析系统MO-HAZOP;该系统具有定量计算出所有的人工误操作顺序组合的发生概率值,结合现有知识和专家经验,判定事件发生的风险等级,从而有重点地给出预防危险、保障生产安全的建议的功能;MO-HAZOP分析系统对于石化企业的安全生产具有重要意义。     

基于模糊数学的石油化工装置HAZOP风险分析技术研究

对传统的HAZOP分析中偏差原因发生可能性进行量化。对于有统计数据的,根据行业数据、公司经验及企业事故建立HAZOP风险分析统计数据库;对于没有统计数据的HAZOP分析偏差原因发生概率,通过专家主观评判,用模糊数理论将专家自然语言转换为模糊数,采用左右模糊排序法将模糊数转换为模糊失效概率值。研究了偏差后果严重程度的划分标准,并根据偏差原因概率和偏差后果严重程度确定风险等级,利用风险矩阵得出偏差风险的大小。从而把HAZOP分析方法从定性改进为半定量的分析方法。据此对石油化工装置进行了HAZOP风险分析。     

A new approach of integrating industry prior knowledge for HAZOP interaction

Accidents often occur in the petrochemical industry, which have a negative impact on society and the environment. Learning Process Safety Knowledge (PSK) from accident cases is essential to prevent accidents and improve safety level. Hazard and Operability Analysis (HAZOP) is a popular hazard risk analysis method. Its report contains large-scale PSK, which can provide safety analysis and decision support for the industry. Subject to the characteristics of PSK, existing researches mine them in the form of sequence labeling. However, there are two intractable problems that cause the PSK mined by the model to be inaccurate. (1) PSK in HAZOP is domain specific, which is rare or even absent in general-domain texts. (2) The entity boundaries are ambiguous. Most domain-specific entities for HAZOP lack boundary characters. Inaccurate security knowledge is not acceptable from the perspective of process safety engineering. To solve the problems, we present a PSK mining architecture with External Lexicon Prior knowledge called EDPMA, EDPMA is prior knowledge-based multi-task HAZOP knowledge mining model. Specifically, EDPMA consists of prior knowledge constructor and sequence labeling model. The prior knowledge constructor expresses prior knowledge in the form of word embedding by three steps. For the sequence annotation model, we improve its embedding and decoding layers. The former incorporated the word vectors generated by the prior knowledge constructor, and the latter added the task of entity boundary prediction. We conduct multiple evaluation experiments on HAZOP datasets. The experimental results show that the accuracy, recall and F1-score of the EDPMA model are 92.92%, 91.85% and 92.38% respectively, which is better than the existing research. Our study represents a meaningful attempt to introduce prior knowledge in HAZOP knowledge mining and makes an important contribution to intelligence the field of process safety.     

乙炔干燥变温吸附装置安全性分析与燃爆事故预防对策

针对乙炔变温吸附装置的燃爆事故问题,采用HAZOP方法对该装置进行安全性分析,找出存在的安全隐患,提出整改措施,指出装置发生燃爆事故的可能性;又将该装置可能发生的燃爆事故作为顶上事件,利用FTA方法进行分析,得到了装置发生燃爆事故的可能原因,制定了预防发生燃爆事故的对策。通过将HAZOP和FTA分析方法结合使用,有效地识别出乙炔装置存在的隐患,降低了装置操作的危险性,预防了燃爆事故的发生,值得推广应用。     

An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents

Natural gas pipeline construction is developing rapidly worldwide to meet the needs of international and domestic energy transportation. Meanwhile, leakage accidents occur to natural gas pipelines frequently due to mechanical failure, personal operation errors, etc., and induce huge economic property loss, environmental damages, and even casualties. However, few models have been developed to describe the evolution process of natural gas pipeline leakage accidents (NGPLA) and assess their corresponding consequences and influencing factors quantitatively. Therefore, this study aims to propose a comprehensive risk analysis model, named EDIB (ET-DEMATEL-ISM-BN) model, which can be employed to analyze the accident evolution process of NGPLA and conduct probabilistic risk assessments of NGPLA with the consideration of multiple influencing factors. In the proposed integrated model, event tree analysis (ET) is employed to analyze the evolution process of NGPLA before the influencing factors of accident evolution can be identified with the help of accident reports. Then, the combination of DEMATEL (Decision-making Trial and Evaluation Laboratory) and ISM (Interpretative Structural Modeling) is used to determine the relationship among accident evolution events of NGPLA and obtain a hierarchical network, which can be employed to support the construction of a Bayesian network (BN) model. The prior conditional probabilities of the BN model were determined based on the data analysis of 773 accident reports or expert judgment with the help of the Dempster-Shafer evidence theory. Finally, the developed BN model was used to conduct accident evolution scenario analysis and influencing factor sensitivity analysis with respect to secondary accidents (fire, vapor cloud explosion, and asphyxia or poisoning). The results show that ignition is the most critical influencing factor leading to secondary accidents. The occurrence time and occurrence location of NGPLA mainly affect the efficiency of emergency response and further influence the accident consequence. Meanwhile, the weight ranking of economic loss, environmental influence, and casualties on social influence is determined with respect to NGPLAs.     

高大模板支撑体系坍塌事故不安全行为原因分析

为预防高大模板支撑体系建筑施工坍塌事故的发生,选取2000-2016年间的31起高大模板支撑体系建筑施工坍塌事故案例,运用事故统计与分析方法,以行为安全“2-4”模型为理论依据,对31起事故中的不安全动作及其规律进行研究。研究表明:出现频次最高的事故等级为较大事故。一线作业人员因安全知识不足“不知道是否应该设置剪刀撑”引发不安全动作“剪刀撑数量不足或未设置剪刀撑”的发生率为71.43%,因安全意识缺乏“没意识到杆件距离过大给施工带来的危险”引发不安全动作“立杆间距和横杆步距过大”的发生率为78.57%;管理人员因安全意识缺乏“没意识到按规定进行安全交底的重要性”引发不安全动作“未进行安全技术交底”的发生率为78.57%,因不佳安全习惯“按照以前的方案习惯施工”引发不安全动作“未制定专项施工方案”的发生率为83.33%。因此,减少不安全动作的首要任务是加强一线作业人员违规操作的管理,企业在制定对策措施时,应从加强一线作业人员与管理人员的安全知识、安全意识和安全习惯入手,预防不安全动作的发生,进而有效预防事故。     

基于贝叶斯网络气化炉供料系统风险分析

为解决当前气化炉供料系统风险分析不完善的状况，提出1种基于贝叶斯网络和HAZOP的风险分析模型。以某单日投煤量3 000 t级气化炉煤化工企业实际运行情况为研究对象，应用HAZOP法对其进行风险分析，并将HAZOP分析结果中各偏差产生原因转化为贝叶斯网络节点；考虑到先验知识的缺乏问题，引入Leaky Noisy OR模型，通过文献资料和相关领域专家经验知识获得先验概率，并利用贝叶斯网络进行风险分析，找出系统运行的薄弱环节。结果表明:未知因素影响会使各节点的后验概率值差异性降低，更加贴合实际；在引入未知因素影响后，系统运行薄弱环节并未发生改变。     

基于STAMP模型的丰城坍塌事故原因分析

为了系统地分析建筑施工事故原因、有效预防同类事故,运用STAMP模型从控制角度详细分析了一起特别重大坍塌事故,分别从物理过程及环境因素、基层操作原因以及管理层原因3方面分析了导致事故的控制缺陷,并且根据分析结果,提出事故控制措施及建议。结果表明:STAMP模型不仅可以分析各个层级的原因,还可以找出层级之间以及层级内不同组织之间的交互影响原因;建设方、施工方、监理方以及承包方对项目管理内容交叉与重叠,且沟通与协调缺失是导致错误决策和不恰当控制动作产生的主要因素;基层不安全控制动作直接导致事故发生,但取决于管理因素,管理层的原因是预防同类事故的重点。     

基于“2-4”模型的建筑施工高处坠落事故原因分类与统计分析

为了明确建筑施工高处坠落事故的原因分类及各类原因的发生频次概况,采用事故致因“2-4”模型分析了2000—2016年间的56起建筑施工高处坠落事故,并对各类原因进行了分类和统计分析。分析得出安全管理体系缺欠7类共62项,其中,无安全技术交底或技术交底不合格、安全组织机构不合格、无施工组织设计方案或方案不合格出现频次位于前三位;得出安全知识不足62项,安全意识不高58项,较管理者而言,一线操作者的安全知识不足和安全意识不高问题均占多数;得出不安全动作19类共296个,其中,安全培训缺失或不到位和劳动防护用品的缺乏和不正确使用2类不安全动作发生频率较高;得出不安全物态6类共54项,其中出现频率较高的是安全防护栏杆缺失或存在缺陷、脚手架或作业平台搭设不规范、安全网缺失或存在缺陷。     

基于“2-4模型”的化工生产事故原因分析

为进一步研究化工生产事故发生的原因,运用“2-4模型”对从安全管理网等网站收集的125起化工生产安全事故进行分析,结果表明对于事故的直接原因方面,作业人员的不安全动作主要表现在违规操作和无证上岗,管理人员的不安全动作主要表现在其工作不认真等方面,不安全物态最主要的是设备年久失修。对于事故的间接原因,主要表现在安全意识不够、安全知识不足、安全习惯不佳3方面。事故的根本原因则主要表现在缺乏安全培训等方面。为制定化工生产事故预防措施提供了依据。     

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.