A new simple methodology for evaluation of explosion risk in underground coal mines

The key objective of this paper is the presentation of a new risk assessment tool for underground coal mines based on a simplified semi-quantitative estimation and assessment method.In order to determine the risk of explosion of any work process or activity in underground coal mines it is necessary to assess the risk. The proposed method is based on a Risk Index obtained as a product of three factors: frequency of each individual scenario P_ucm, associated severity consequences C_ucm and exposure time to explosive atmospheres E_ucm. The influence of exposure time is usually not taken into account up to now. Moreover, the exposure to explosive atmospheres may affect factors of hazardous event probability as much as its consequences. There are many definitions of exposure to explosive atmospheres but in the case of underground coal mines the exposure is defined as frequency risk of firedamp and coal dust. The risk estimation and risk assessment are based on the developed of a risk matrix.The proposed methodology allows not only the estimation of the explosion risk but also gives an approach to decide if the proposal investment is well-justified or not in order to improve safety.     

Application of dynamic risk analysis in offshore drilling processes

Process safety is the common global language used to communicate the strategies of hazard identification, risk assessment and safety management. Process safety is identified as an integral part of process development and focuses on preventing and mitigating major process accidents such as fires, explosions, and toxic releases in process industries. Accident probability estimation is the most vital step to all quantitative risk assessment methods. Drilling process for oil is a hazardous operation and hence safety is one of the major concerns and is often measured in terms of risk. Dynamic risk assessment method is meant to reassess risk in terms of updating initial failure probabilities of events and safety barriers, as new information are made available during a specific operation. In this study, a Bayesian network model is developed to represent a well kick scenario. The concept of dynamic environment is incorporated by feeding the real-time failure probability values (observed at different time intervals) of safety barriers to the Bayesian network in order to obtain the corresponding time-dependent variations in kick consequences. This study reveals the importance of real-time monitoring of safety barrier performances and quantitatively shows the effect of deterioration of barrier performance on kick consequence probabilities. The Macondo blowout incident is used to demonstrate how early warnings in barrier probability variations could have been observed and adequately managed to prevent escalation to severe consequences.     

基于多元联系数的矿工不安全行为风险态势评估

为了有效分析煤矿作业人员不安全行为风险状况和变化趋势,提出了1种基于熵权法和集对分析耦合的矿工不安全行为风险态势分析方法。在现有的煤矿作业人员不安全行为影响因素研究的基础上,运用HFACS理论分析矿工不安全行为影响因素,构建包括4个维度12个因素的不安全行为因素集;采用熵值法和集对分析理论建立基于多元联系数的矿工不安全行为风险评估模型;以内蒙某煤矿矿工不安全行为风险评估为例,验证所构建的态势评估模型的有效性。研究结果表明:构建的风险态势评估模型可以有效分析矿工不安全行为风险状态和变化趋势。     

Team-Based Risk Assessment and Action Plans as Participatory Methods for Safe Patient Handling in Two Swedish Municipal Care Homes for the Elderly

Objective. We investigated the usefulness of a team-based risk assessment method in patient transfer situations in municipal care homes for the elderly. Methods. Evaluation of risk assessment and action plans carried out in 2009. Focus group interviews with care givers and one-to-one interviews with managers and occupational therapists. Results. The evaluation showed that action plans and interventions were developed for each resident with identified risk connected with movement/transfer in daily life. Twenty-six patients (28%) of a total number of 94 were assigned to the “no risk” category regarding movement/transfer situations in daily life. The other 68 patients (72%) required further interventions, which were documented in action plans. The interviews indicated that the approach of team-based risk assessment and action plans was perceived as a functional participatory method aiming to improve daily life and work. Conclusion. Systematic team-based risk assessment and action plans benefit staff as well as residents at care homes for the elderly.     

基于模糊贝叶斯网络的煤气化职业健康风险分析

针对煤气化行业职业健康风险影响因素不确定及模糊的特点,建立了职业健康风险计算模型。该模型将模糊数学与贝叶斯网络相耦合,模拟事件概率,找出导致风险的主要因素。通过分析煤气化行业中存在的多种风险因素,应用问卷调查法和模糊集理论模拟了根节点的发生概率,得出职业健康风险概率的预测值;应用贝叶斯网络反向推理的功能计算根节点后验概率并排序,确定了薄弱环节。该模型不仅能解决概率缺失情况下的风险量化推算问题,定量进行职业健康风险评估,还可以实现关键因素的识别,并能有针对性地提出改进措施,为职业健康风险预防提供决策依据。     

A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry

Abstract

Managing occupational safety in any kind of industry, especially in processing, is very important and complex. This paper develops a new method for occupational risk assessment in the presence of uncertainties. Uncertain values of hazardous factors and consequence frequencies are described with linguistic expressions defined by a safety management team. They are modeled with fuzzy sets. Consequence severities depend on current hazardous factors, and their values are calculated with the proposed procedure. The proposed model is tested with real-life data from fruit processing firms in Central Serbia.     

Quantification of impact of line markers on risk on transmission pipelines with natural gas

The paper presents a model for the assessment of the influence of line markers on risk on transmission pipelines with natural gas. The impact of line markers on risk is determined as a function of the line marker recognisability, which in turn depends on the ability to discern a line marker from a distance. The model is based on physical properties of line markers, especially on their colour, measures and the colour of the environment. These properties served to quantitatively assess the discernability of two most frequently encountered types of line markers. Calculated distances at which a particular line marker is discernible were compared to the average distances between two line markers. Risk reduction factors were derived from the comparison between the calculated results and the data from the appropriate hazardous event database. Results of the model indicated significant dependence of the risk reduction factor due to line markers on the distance between two line markers and the weather conditions. The model shows its flexibility through its distinct dependence on local conditions along the pipeline route. It can serve as a supplement to the existing models for quantitative risk assessment on pipelines used in natural gas transportation.     

Dynamic probability assessment of urban natural gas pipeline accidents considering integrated external activities

Urban gas pipelines usually have high structural vulnerability due to long service time. The locations across urban areas with high population density make the gas pipelines easily exposed to external activities. Recently, urban pipelines may also have been the target of terrorist attacks. Nevertheless, the intentional damage, i.e. terrorist attack, was seldom considered in previous risk analysis of urban gas pipelines. This work presents a dynamic risk analysis of external activities to urban gas pipelines, which integrates unintentional and intentional damage to pipelines in a unified framework. A Bayesian network mapping from the Bow-tie model is used to represent the evolution process of pipeline accidents initiating from intentional and unintentional hazards. The probabilities of basic events and safety barriers are estimated by adopting the Fuzzy set theory and hierarchical Bayesian analysis (HBA). The developed model enables assessment of the dynamic probabilities of consequences and identifies the most credible contributing factors to the risk, given observed evidence. It also captures both data and model uncertainties. Eventually, an industrial case is presented to illustrate the applicability and effectiveness of the developed methodology. It is observed that the proposed methodology helps to more accurately conduct risk assessment and management of urban natural gas pipelines.     

基于灰色多层次的航空公司飞行安全评价研究

针对影响航空公司飞行安全诸多因素具有的灰色性,引入灰色理论对航空公司飞行安全进行风险评价,从机组、飞机、环境和管理4个因素,提出航空公司飞行安全风险评价的指标体系,采用层次分析法(AHP)确定评价指标权重,建立基于灰色多层次的航空公司飞行安全风险评价模型。根据建立的模型,对国内某航空公司飞行安全状况进行评价,通过分析认为该航空公司的飞行安全介于高风险与较高风险之间,急需加强安全防范,尤其应该加强对飞行安全管理。综合评价的结果为航空公司制定飞行安全措施及预防对策提供科学的依据。     

基于风险矩阵的水电站项目风险分级评估方法研究——以乌东德水电站为例

为了解决千万千瓦级巨型水电站项目建设过程的风险分析问题,以我国目前在建的千万千瓦级水电站重要项目—乌东德水电站为例,对水电站项目存在的隐患进行排查和梳理,找出影响安全施工的危险源,并采用风险矩阵法对其进行风险评估,将存在的风险按照其造成的影响后果不同分成可忽略（Ⅰ级）、可接受（Ⅱ级）、有条件可接受（Ⅲ级）和不可接受（Ⅳ）4个等级。研究结果不仅可用于查找、分析整个水电站项目建设过程中存在的重大风险,对风险进行有效、科学、简捷地评估,还可将各个风险点进行明确划分,对同类千万千瓦级巨型水电站的风险分析和安全管理工作具有参考和借鉴作用。     

危险品道路运输过程风险管理体系探讨

危险品道路运输是一个复杂的系统,风险管理涉及危险品运输规划和事故应急响应。本文介绍了现有的危险品运输风险管理模式和基本管理原则,基于运输风险评估、运输路径优化、应急单位优化选址和选线、人员疏散管理以及事件决策管理等构建了危险品道路运输过程风险管理体系,阐述了系统基本要素之间的相互关系。危险品道路运输过程风险管理是一个持续改进的结构化过程风险管理体系,有助于减少危险品运输事故概率和降低运输沿线影响人员风险,为政府监管部门和危险品生产经营单位的运输安全管理、优化选线以及应急救援等工作提供技术依据,合理规划危险品运输系统。     

基于三角模糊理论的尾矿库风险评价研究

根据尾矿库的特点和我国现行的尾矿库安全生产监督管理法律法规及标准规范的要求,构建了尾矿库风险评价指标体系。综合考虑评价指标对风险发生可能性及后果严重程度的不同影响来确定指标权重,同时考虑到权重确定和指标赋值中的模糊性和不确定性等问题,选用三角模糊理论建立了尾矿库风险评价模型,并以本溪某尾矿库为例进行说明。理论分析和实例计算表明,该方法对尾矿库风险评价有很好的适用性。     

环境风险评价与安全风险评价在评价目的上的相关性研究

对具有安全风险和重大环境风险的建设项目,既要进行安全评价又要进行环境风险评价.目前,对于如何进行重大安全风险评价和环境风险评价,未见有具体的指导性建议.许多评价报告中,环境风险评价与安全风险评价往往雷同,不利于突出各自的重点和评价工作的深入进行.从对风险评价的认识出发,从评价目的上讲述二者的相关性,并简述其意义.     

公路隧道衬砌背后缺陷风险评估研究

衬砌背后缺陷是隧道工程的常见病害之一,具有隐蔽性、复杂性和不确定性等特点,因此就衬砌背后缺陷存在时的隧道结构风险评估进行了研究。对衬砌背后缺陷进行辨识和分析,确定缺陷发生的概率,同时对一个二维圆形公路隧道模型设置不同位置且大小不同的各种背后缺陷,数值模拟得出这些缺陷对衬砌结构内力的影响,从而建立其后果的严重程度,再采用风险矩阵得出风险等级。在此基础上以某公路隧道为例,就存在的衬砌缺陷对该隧道结构进行具体的风险评估。衬砌背后存在缺陷时,衬砌的内力会大幅增长,使得结构面临很大的破坏风险,采用风险评估的方法得出具体的风险等级,从而正确定位缺陷,可以更加直观地看出衬砌背后缺陷对隧道结构的危害。     

山区二级公路运营期常态交通风险评价

为客观准确地评价山区二级公路常态交通风险,将风险源分为动态风险源和静态风险源.首先,基于白化权函数的综合评价法建立事故后果模型,基于历史事故数据建立事故概率模型,以评价静态风险;其次,结合白化权函数和层次分析法(AHP)建立事故后果模型,采用有序Logit模型建立事故概率模型,以评价动态风险;最后综合动静态风险结果评价...     

基于BN的FTA在通用航空风险评价中的应用

针对事故树分析法(FTA)在风险评价中的局限性,采用以事故树为基础建立的贝叶斯网络(BN)风险模型,对通用航空中的两机空中相撞事故进行分析和推理,对事故模型进行改进和修正时,注重基事件的多态性和事件间的逻辑合理性。根据贝叶斯推理得出的数据,找到了事故的主要致因。结果表明,基于BN的FTA既能向前预测顶事件的发生概率,又能向后诊断基本事件的后验概率,可以更好地对通用航空风险进行评价。     

Occupant Risk,Partner Risk and Fatality Rate in Frontal Crashes: Estimated Effects of Changing Vehicle Fleet Mass in 15 Years

The effect of vehicle fleet mass on car crash fatalities was estimated, using a new mathematical model to isolate vehicle mass from related factors like size, stiffness and inherent protection. The model was based on fatality risk data, impact speed, fleet mass distribution, and collision probabilities. The fleet mass distribution was changed over 15 years to (a) a homogeneous fleet of 1300 kg cars, (b) a bimodal fleet of 600 and 1600 kg cars, and (c) a 300 kg lighter fleet.

Occupant and collision partner fatality risks were estimated for the new fleets. The new fleets were achieved by various strategies, and the average fatality rate was calculated after and during the transition to the new fleet.Occupant fatality risk decreased and partner risk increased as occupants changed to a heavier car. The average fatality rate was 59% higher after the transition to a bimodal fleet mass, and 11 % lower for a homogeneous fleet. A 300 kg lighter fleet had a 8% higher fatality rale, but the strategy influenced the number of fatalities accumulated during the transition. The safest strategy to attain the lighter fleet was to reduce the mass of the heaviest cars first.

It was concluded that vehicle fleet mass significantly affects traffic safety. Downsizing consequences can be compensated for by improving inherent vehicle protection or reducing impact speed. The fatalities during downsizing can be limited by choosing an appropriate strategy.     

供应链环节划分下的电煤物流风险评估和管控研究

受政策、经济、自然环境等多种因素的影响,大型煤炭企业的电煤物流系统存着诸多的风险,如何识别和管控风险成为企业日益关注的重点。从供应链环节的角度出发,采用问卷调查和实地调研的方式,识别和确定电煤物流系统存在的33项风险因素,构建了电煤供应链风险评价指标体系,运用改进的G1法模型对风险危害度进行评估,制定包括安全运行防控机制和"三级库存"风险预警应急机制2部分的风险管控方案。电煤供应链风险评价指标反映了电煤物流系统各环节存在的风险因素;"三级库存"风险预警应急机制的提出,为企业经营决策者风险管控工作提供参考。     

安全评价方法在危险废物处置环境风险评价中的应用探讨

对安全评价方法在危险废物处置建设项目环境风险评价中的运用进行初步探索。主要用"工艺过程风险因素分析表"对工艺过程潜在风险性识别;用蒙德法进行源项分析;用池火灾模型、蒸气云爆炸伤害模型对易燃、易爆物质的火灾、爆炸等重大事故后果进行计算,得出人员的伤亡半径和财产损失半径等参数,以便于判断风险的可接受水平。分析结果表明:采用安全评价方法对危险废物处置建设项目进行环境风险评价是适用的、可行的。     

Decision-making on process risk of Arctic route for LNG carrier via dynamic Bayesian network modeling

An increasing number of ships have chosen the suitable route to transport in Arctic waters during summer. Seeking a suitable model for risk decision-making in route planning is a necessary research topic at present. Due to its complex natural environment, there is significant uncertainty regarding ship navigation safety in Arctic waters. The process risk-based decision-making method to support route planning is established based on the dynamic Bayesian network (DBN) risk assessment model for LNG carrier collision with ice or obstacles in Arctic waters. The decision-making process for ship navigation is dynamically associated with time. Therefore, a Markov Chain (MC) is built for each dynamic node in Bayesian belief network (BBN) to realize DBN associated risk assessment, which is called process risk and is applied to decision-making. Three possible routes for ships sailing from the Vikitsky Strait to the Long Strait in Arctic waters were selected in conjunction with the objective daily change data of wind speed, temperature, wave height, and ice condition. Simulations for risk decision-making in the ship navigation process are performed. Application examples show that the ship selected either ROUTE2 (Vikitsky Strait – Laptev Sea – Sannikov Strait – Eastern Siberian Sea – Long Strait) or ROUTE3 (Vikitsky Strait – Laptev Sea – Proliv Dmitriya Lapteva – Eastern Siberian Sea – Long Strait) in August as the best navigable route.