化工项目施工作业风险分析

化工项目施工过程中存在动态变化的、相互叠加的、集成化的作业风险。以往的研究缺乏对动态、叠加风险的全面考虑和定量分析,难以满足化工项目施工中特定风险管理的现实要求。为有效地管理和控制化工项目施工作业风险,分析施工作业在时间、空间上的变化和叠加现象,以作业风险模型为基础,建立兼顾动态风险和叠加风险的系统性作业风险模型。运用该模型计算某个实例化工项目施工期典型时段各建设单元前后期风险变化值及其相互叠加的风险值,绘制其施工区域风险分布图。结果表明,当前主生产车间、辅助车间、喷塔楼、2号仓库区域设备集中、人员密集、作业交叉、事故发生风险较高,是安全管理的重点部位。就此,提出具体风险控制措施。     

基于MCLP-BACOP模型的城市消防站选址研究

为提高消防站规划选址的科学性,合理调度有限的消防应急资源,提升消防应急响应效率,以湖北省某城市中心城区为研究对象,在火灾风险评估基础上,对消防站选址模型进行优化研究,构建了MCLP-BACOP结合覆盖模型并借助ArcGIS软件对模型进行优化求解。研究结果表明：通过MCLP-BACOP结合覆盖模型计算得到的中心城区消防站选址方案在对覆盖率影响较小的情况下,可以减少消防站数量并降低成本,同时能保证高风险区重复覆盖。该模型对于火灾风险较大的城区适用性强,在考虑经济因素及现实条件下,可有效提升城区消防响应效率。     

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...     

基于安全性目标的车辆维护周期数学模型研究

本研究旨在建立一个相应于不同的给定的行驶安全性的车辆最优维护周期数学模型，同时，利用汽车制动系、转向系等系统或装置的运行故障分布参数，求出了不同安全性水平下该数学模型的解。还依据原始数据，给出了同样基于行驶安全性目标的汽车维护周期允许上限。本研究结果可用于指导汽车维护工作，而且对保证或提高在用车辆的行驶安全性具有重要的作用     

分离岛式地铁站可用安全疏散时间计算与比较分析*

为研究大客流地铁车站风险因素,提出车站疏散能力分析的基本要素,结合某分离岛式地下车站,采用规范计算及精细网格模型对可用安全疏散时间进行计算与比较分析。结果表明:楼扶梯的通过效率、车站结构形式、疏散人员的数量及分布情况等因素对仿真模拟的结果产生影响;《地铁安全疏散规范》（GB/T 33668—2017）综合考虑了疏散至楼扶梯入口时间、楼扶梯上平均滞留时间及通道非均匀性偏差时间等,与仿真模拟结果的吻合度较高。研究结果可为国内类似车站的安全疏散设计及运营疏散组织提供参考。     

The development of probabilistic models to estimate accident risk (due to runway overrun and landing undershoot) applicable to the design and construction of runway safety areas

The risks of landing overrun (LDOR – LanDing OverRun), Take-off Overrun (TOOR – Take-Off OverRun) and landing undershoot (LDUS – LanDing UnderShoot) are dependent on multiple factors related to operating conditions. These include wind, runway surface conditions, landing or take-off distances required, the presence of obstacles, runway distance available, the existence and dimensions of runway safety areas.In this paper we propose risk models for runway overrun and landing undershoot, using a probabilistic approach. These models are supported by historical data on accidents in the area around the runway and will enable us to determine if the risk level is acceptable or whether action must be taken to mitigate such risks at a given airport. Furthermore, these models permit comparison of the results of different risk mitigation actions in terms of operational risk and safety.The principal advantage of this method is the high quality results obtained for a limited investment in terms of time, computing power and data. As such the method is extremely practical and easy to apply in aerodrome planning, development and operation.     

Significant human risk factors in aircraft maintenance technicians

We examined significant human risk factors in aircraft maintenance technicians (AMTs) in the airline industry. We conducted an empirical study of Taiwan’s airlines to determine these risk factors and to illustrate how a quantifiable evaluation approach integrates experts’ opinions about the relative importance of risk factors. We developed an expert questionnaire and modified the human factors SHELL model to categorize the risk factors that we derived from the literature and the opinions of 107 senior experts. The empirical results showed that there are nine significant risk factors out of 77 preliminary and 46 primary risk factors. The results also provided support for the approach and model presented in this work, demonstrating that they are both strategically effective and practically acceptable. Analyzing and ranking the significant risk factors for AMTs in this fashion may help airlines to better focus on their major operational and managerial weaknesses in order to improve maintenance operations under the condition of limited resources.     

开拓新区煤与瓦斯突出危险性区划技术

煤与瓦斯突出严重地影响着矿井的安全生产,必须做好防治工作。防治工作的基础是准确地预测煤与瓦斯动力现象。该文通过考虑影响煤与瓦斯突出的定量和定性因素,建立了开拓新区煤与瓦斯突出综合评价的模型,该模型经在矿井应用,证明该技术可靠易行。     

Effects of initial resources on the development of strains during a stressful training situation: Some counterintuitive results

Resource theories of occupational stress argue that employees' personal and environmental resources protect them from too much distress or strain during stressful work experiences. We examined four resources (emotional stability, previous experience, low drain on pre‐existing resources, and workgroup quality) available to soldiers at the beginning of a stressful 3‐month training experience as predictors of the trajectories of their strains over that period of time. Based on conservation of resources theory and the job demands–resources model, we predicted that the trends of strains would be more favorable (would increase more slowly or decline more quickly) if participants started the training with greater resources. The resources, primarily emotional stability and lack of pre‐existing resource drain, tended to be negatively related to strains, consistent with the idea that they can reduce strains. Significant interactions predicting trends were found predicting two of the three strains (post‐traumatic stress symptoms and depression, but not reports of physical health). Contrary to expectations, however, the three resources that significantly predicted trends over time (emotional stability, previous experience, and low pre‐existing resource drain) were associated with worsening rather than improving strains. Copyright © 2014 John Wiley & Sons, Ltd.     

省级生产安全应急救援体系建设方案探讨

省级生产安全应急救援体系是国家生产安全应急救援体系的重要组成部分。为了使省级生产安全应急救援体系的建设方案具有实用性、先进性、经济性和可操作性 ,笔者通过调研许多地方的经济现状、重大危险源和现有的生产安全应急救援资源 ,提出了省级应急救援体系的基本框架和体系在应急救援情况下的响应程序。要在省、市 (地区 )、县三级建立起权威的应急救援指挥机构 ,才能使应急救援体系实现高度的统一指挥 ,灵敏高效 ;充分地整合和利用现有各种救援力量和通讯系统 ,实现资源共享 ,避免重复建设 ;促进“110” ,“119” ,“12 0” ,“12 2”等通讯网络联动 ,并逐步应用GPS ,GIS等资源 ,建立先进的动态跟踪监测 ,可视的信息系统 ;应急救援队伍由3部分组成 ,即政府主办的公共应急救援队伍 (现有 )、政府资助由行业或集团公司主办的专业应急救援队伍、企业自备的应急救援队伍 ;同时对体系中各种机构的组成及其主要职责提出了设想。     

基于瓦斯涌出量预测的近距离煤层群开采顺序优化选择

随着中厚煤层资源的枯竭,近距离薄煤层群开采成为我国资源的重要补充。煤层群开采时合理的采掘部署是防止工作面瓦斯集中涌出的关键,本文通过分析近距离煤层群开采时各回采顺序下工作面瓦斯涌出量,建立了以工作面瓦斯涌出量预测为基础的近距离煤层群开采优化模型,利用计算机编程实现了模型的可视化操作。该模型通过对比分析全部种回采顺序方案,选择整个回采期间瓦斯涌出量最均衡的方案为最优方案。对翔升煤矿进行了实例分析,结果显示合理的回采方案可以使工作面最大瓦斯涌出量大大减小,使整个回采期间工作面瓦斯涌出量趋于均衡。为煤层群开采优化技术中的瓦斯环节提供了理论依据。     

Research and application of risk and condition based maintenance task optimization technology in an oil transfer station

Oil transfer stations of PetroChina mostly scatter in Gobi, mountain areas or other sparsely populated areas, inconvenient transportation and absent professional engineers often delay the best time to repair the machines. Time-or interval-based maintenance (TBM) accounts for almost 100%, while, On-condition maintenance and other proactive maintenance are seldom adopted. TBM not only can't prevent happens of equipment fault but also cause the waste of the maintenance resource. In order to allocate maintenance resources reasonably, ascertain the minimum preventive maintenance requirement, ensure the reliability, availability and safety, this paper carries out a research on Risk and Condition Based Maintenance (RCBM) task optimization technology. Utilizing the internet of things (IOT), real-time database, signal-processing, Gray Neural Network, probability statistical analysis and service oriented architecture (SOA) technology, a Risk and Condition Based Indicator Decision-making System (RCBIDS) is built. RCBIDS integrates RCM, condition monitoring system (CMS), key performance management module, file management module, fault and defect management module, maintenance management module together, which aims to realize remote condition monitoring, maintenance technical support services (TSS), quantitative maintenance decision-making, and to ensure the Reliability, Availability, Maintainability and Safety (RAMS). The Predictive Maintenance Indicator model, reliability prediction model and Key Performance Indicator (KPI) model, which are embedded in the RCBIDS, are constructed separately. An engineering case shows that the risk and condition based maintenance task optimization technology can be used to optimize maintenance content and maintenance period, to minimize maintenance deficiencies and maintenance surplus, and to prolong the lifespan of equipment.     

航空工效中情境觉知的研究

随着航空设备自动化 /智能化水平的不断提高 ,现代飞机座舱中动态信息越来越多 ,而飞行员的主要作用已由操作控制向监视转移 ,即人的体力负荷下降、心理负荷增加的现象变得更加突出。鉴于此 ,有关飞行员情境觉知研究已成了目前航空工效研究领域中比较活跃的一个方向 ,笔者通过对情境觉知的发展历史、概念定义、影响因素、定性模型分析 ,并结合前人的研究成果建立了一个新的情境觉知定义和相应的情境觉知多级触发定性分析模型 ,初步揭示了高级飞行员和飞行学员之间的情境认知差别 ,并为进一步建立定量的情境觉知多级触发分析模型 (包括不同情境下飞行员的感觉、理解、预测等阶段的临界值 )打下了基础。     

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.     

基于DEMATEL方法的海运行为形成因子影响关系分析

为揭示并量化海运人因可靠性分析(HRA)中行为形成因子(PSF)间复杂的影响关系,采用DEMATEL方法对航海人员值班任务中9个PSF的依赖关系进行建模和分析,并验证该方法的有效性。结果表明:船上组织的完善程度、驾驶台班组成员的合作质量、可用时间等PSF在系统中的作用大;船上组织的完善程度、人机界面(MMI)与运行支持的完善性、值班区间以及培训和准备的充分性4个PSF为原因因素,驾驶台班组成员的合作质量、同时出现的目标任务数量、可用时间、船上工作及船舶航行条件和操作规程/计划的可用性5个PSF为结果因素。安全管理人员应针对作用大或原因因素中的PSF制定安全管理措施,改善情景环境,提高人因可靠性。     

A new approach for resource allocation for black spot treatment (case study: The road network of Iran)

Introduction: Currently, spatial and temporal distribution of safety resources in Iran is entirely based on expert opinions, regardless of network priorities. Considering the lack of resources for implementing safety treatments, prioritizing unsafe points is an important and complicated issue where the effectiveness of each safety treatment option should be thoroughly investigated. The political, social, and environmental aspects should also be taken into consideration, including social and political pressures and officials talks on less important topics. Obviously, this inappropriate resource allocation poses a serious challenge to the expected goals. In this study, a methodology based on economic and social issues is proposed to optimize the annual budget allocation for eliminating or reducing the risk of accident-prone points. In this methodology, the spatial and temporal distribution of budget is determined using a mathematical model aimed to maximize the benefits of reducing the accidents after deducting the costs of implementing the safety countermeasures. The outputs of this model include the safety countermeasure alternatives and a five-year time schedule for implementing them, or the alternative of no action with regard to budget, social, and judicial constraints. In order to evaluate the proposed method, it is applied to the road network of Iran and the results are compared with those of the conventional method that is currently used for resource allocation in this country. The results show that the proposed method leads to 15% higher benefits compared to the conventional method. Moreover, this method makes 641 safe points, which is about 17% more than the safe points resulted from the existing method. Therefore, the proposed method brings about a safer network as a result of the optimal allocation of available resources.     

基于云模型的灭火救援作战方案优选方法研究

为了解决灭火救援作战方案优选中存在的模糊性和随机性问题,提出基于云模型的优选方法。首先,根据消防部队灭火救援作战的目标和特点,确定作战方案优选指标集;其次,通过专家咨询建立优选指标的权重云,采用指标近似法确定优选指标的评价云;最后,依据云的算数运算规则对各灭火救援作战方案进行评价,从而确定最佳方案。实例表明:该方法实现作战方案优选中定性语言和定量评价之间的转化,优选结果客观可行、符合人的思维方式,便于灭火救援指挥人员进行决策指挥。     

唐山市水资源合理配置研究

针对唐山市水资源条件和开发利用现状,建立了智能型水资源合理配置模型,采用层次化动态水资源合理配置方法,依据四水转化原理,对多种水源的利用进行多年逐时段水资源配置,实现了水量水质统一配置,地表水与地下水联合供水,分部门分行业科学配水,多水源多用户时空联合调配.     

Dynamic failure probability analysis of urban gas pipeline network

The gas pipeline network is an essential infrastructure for a smart city. It provides a much-needed energy source; however, it poses a significant risk to the community. Effective risk management assists in maintaining the operational safety of the network. The risk management of the network requires reliable dynamic failure probability analysis. This paper proposes a methodology of condition monitoring and dynamic failure probability analysis of urban gas pipeline network. The methodology begins with identifying key design and operational factors responsible for pipeline failure. Subsequently, a causation-based failure model is developed as the Bowtie model. The Bowtie model is transformed into a Bayesian network, which is analyzed using operational data. The key contributory factors of accident causation are monitored. The monitored data is used to analyze the updated failure probability of the network. The gas pipeline network's dynamic failure probability is combined with the potential consequences to assess the risk. The application of the approach is demonstrated in a section of the urban gas pipeline.     

基于投影评价方法的矿区资源环境承载力分析

矿区资源环境承载力是衡量矿区环境质量状况和环境容量受人类生产生活活动干扰能力的重要指标。笔者分析和建立矿区资源环境承载力评价指标体系及结构,运用矢量投影原理,建立了矿区资源环境承载力评价的多指标投影评价模型。该方法将评价样本视为矢量,用评价对象在理想对象上的投影距离表示矿区资源环境承载力状况,为矿区资源环境承载力评价提供一种更加符合客观实际的评价方法。以研究矿区为例,运用投影方法对其资源环境承载力现状趋势进行了评价,其结果表明与矿区实际相吻合,并为研究矿区的复合生态系统调控提供指导。