基于互联网+的轨道交通动力设备安全管理系统的研究

根据我国轨道交通设备安全管理的需求,提出基于互联网+的轨道交通动力设备安全管理系统平台的框架,运用J2EE开发工具,采用嵌入式高速数据采集技术、故障诊断技术,构建形成集成化、网络化和信息化的轨道交通动力设备安全管理系统。完善智能的设备安全管理系统,能有效提高轨道交通动力设备的安全监管力度,保障设备安全。     

Occupational risks and the value and modelling of a measurement of severity

In studies of occupational risks, severity, which is a component of the estimation of every risk, appears as a multifaceted entity assessable according to numerous criteria. A method of measuring the degree of severity of the consequences of potentially dangerous events would be of undeniable value to organisations seeking to improve their understanding of the complexity of such events. The need to control severity is highlighted by scientifically acquired improvements in the understanding of occupational risks, by certain new regulatory obligations in Europe, and by some requirements in the financial management of organisations. We put forward a statistical way of integrating several constituent elements of severity and hence of determining a relevant, synthetic, one-dimensional index. This is achieved by means of principal component analysis (PCA), which is used here to calculate a resultant severity, as in some physical measurements. We also investigate how severity may be statistically modelled, with the aim of contributing to the quantitative assessment of occupational risks. The choice of parametric models is detailed and illustrated by the search for a suitable model for workplace accidents in an organisational setting. The practical value of modelling severity is two-fold. First, one is able to study the distribution of the numerical values of severity over a continuum (a theoretically infinite numerical set) rather than through a limited number of arbitrarily defined categories. Second, with a generally applicable parametric model, one can estimate the law of probability of a measurement of severity in a particular situation, notably recent or new. Lastly, the statistical concept of risk curve is defined and discussed. The goal is to incorporate the severity component into the risk assessment in the form of a probability law, thus circumventing the difficulties associated with an analysis of scenarios.     

基于改进贝叶斯神经网络的航空公司安全敏感性分析

针对当下航空公司安全质量管理体系(Quality Management System,SQMS)中风险识别与可靠性改进的问题,提出了基于区间数学改进的贝叶斯神经网络的灵敏度分析方法。利用区间数学理论分析贝叶斯神经网络中各指标与整体安全质量状况的扰动关系,实现指标灵敏度分析。通过东方航空公司的实例分析,发现在对指标进行人工干预时组合指标干预效果较好,且安全管理体系实施后指标的灵敏度有明显向好的方向变化的趋势。     

新形势下基层林业企业安全教育管理机制探析

从基层林业企业安全教育管理现状出发,分析了当前安全教育管理存在的问题,结合新形势下林业企业实际,探索创新安全生产管理路径与措施。     

基于改进模体方法的国家应急组织合作网络基元比较

为分析和比较应对非常规突发事件过程中,由不同类型组织个体及其不同频次合作关系构成的应急复杂组织网络的微观结构特征,研究运用表征个体差异和关系强弱的改进模体分析方法,以中国和美国国家应急组织合作网络为例,比较分析其基元同构与异构特征。结果表明:中美应急组织系统不同类型的应急主导和支持组织构成的主要合作模式具有同构性,但子图结构数量分布具有异构性;考虑个体间关系频次差异,中美应急组织网络基元合作模式具有形式同构但相对数量分布异构的特征;比较而言,美国合作网络为分布式、分权化和关系型基元构型,中国合作网络具有集中式、集权化和契约型基元特征。     

灾害救援中基于民众心理感知的应急物资多阶段分配问题研究

为有效解决在保证高效完成救援任务的同时考虑受灾民众行为,进而提高灾民对救援处置效果的满意度问题,结合行为运筹学相关理论和不公平厌恶理论,提出民众对于应急物资到达时间的风险感知度量模型,以及民众对于所得到的应急物资数量的公平满意度度量模型,构建基于灾民心理感知的应急物资多阶段调度模型,解决应急物资到达时间风险感知、物资分发数量公平满意度等多目标下的调配决策问题;设计基于蚁群优化思想的求解算法。研究结果表明:通过实例分析对比验证了模型在提升灾区民众对于应急物资分发策略满意度方面的有效性。     

基于文本挖掘的煤矿安全隐患管理研究

为探寻安全隐患的内在特征,加深安全管理人员对安全隐患的理解,提升安全管理效率。以潞安集团司马煤业有限公司2009—2015年安全隐患记录为数据源,利用Word2Vec模型构建安全隐患词向量模型,从模型中获取各类安全隐患主要相关词,利用桑基图解释安全隐患在不同隐患地点、生产作业单位的特征分布,并进一步揭示相关安全隐患的细节特征。结果表明:词向量模型能有效发掘安全隐患特征,桑基图能突出呈现安全隐患的关键信息流动。上述措施有助于管理人员深刻理解安全隐患数据中蕴含的潜在规律,为煤矿安全隐患排查治理工作提供依据,指导安全管理实践。     

基于数字信息化的消防呼吸气瓶检验管理系统研究与开发

为解决碳纤维缠绕式消防呼吸气瓶检验中因单机作业而存在的检验效率低、检验质量差、受人为因素影响的问题,研究开发基于数字信息化的碳纤维缠绕式消防呼吸气瓶检验管理系统,该检验系统包括消防呼吸气瓶数据库、OA系统、呼吸气瓶检验软件和手机APP。利用二维码技术和计算机网络,实现呼吸气瓶数据库、检验软件、OA约检和报告审核审批系统、手机APP的数据传输。结果表明:该检验管理系统实现了呼吸气瓶检验的无纸化、过程的可追溯性、检验结果的防伪性等功能,其对于碳纤维缠绕式消防呼吸气瓶检验具有较强的适用性和可行性。     

Location selection of emergency supplies repositories for emergency logistics management: A variable weighted algorithm

With the development of the city, the number of establishments that are proposed or under construction is increasing year by year, and if they are industries that handle flammable, explosive, toxic, harmful, and dangerous substances, the public safety will face great threats, which will bring great challenges to emergency rescue work. Therefore, providing reasonable solutions to the problem of location selection of emergency supplies repositories are necessary for improving the emergency response efficiency in chemical industrial parks. A mathematical model for location selection of emergency supplies repositories in emergency logistics management are presented considering more actual factors. The optimization objectives of the model are to minimize total transport length and cost. And then a Variable Weighted Algorithm is designed to solve the model, where an auxiliary function was constructed with different methods of building weighting factors based on the theory and method of solving multi-objective optimization problems in operational research. Simulation results show the effectiveness and feasibility of the models and algorithms presented in this paper.     

基于蒙特卡洛模拟的多米诺事故风险量化管理*

为降低危化品相关的化工事故造成的人员伤亡和财产损失,以化工多米诺事故为研究对象,探讨由初始事故引发1个或多个次生事故的连锁反应机理与风险评估方法。提出应用蒙特卡洛模拟对多米诺事故风险进行动态量化的方法,梳理化工多米诺事故风险的识别、分析、评定、处理全周期管理流程,并以1个天然气压气站为案例,验证基于蒙卡模拟的化工多米诺事故风险量化方法的有效性。结果表明:该方法可以更准确地对化工多米诺事故风险进行定量评估。多米诺事故风险全周期管理流程的梳理能够有效指导化工企业开展安全管理、事故预防等工作。