某地下矿山安全生产事故规律分析与对策研究

基于某地下矿山2000-2009年度所发生的安全生产事故的详细统计数据,分别针对伤害程度、伤害部位、事故工龄、事故班次、事故致因和类别等进行了全面统计、归纳和分析,并采用事故树等分析法对冒顶片帮和人为原因引发的两类重要矿山事故进行了深入系统研究,确定了矿山典型事故发生的基本原因、主导控制因素、一般出现规律以及可能伤害后果。结合工程实际情况,提出了能有效降低生产事故频率,提高安全生产效率的四种具体对策与措施：（1）加强安全教育与技能培训,提高员工安全法制意识和应对突发事故的专业能力;（2）遵守人机工效学的一般原理,改善工作舒适度,提高员工工作积极性和效率;（3）坚持科学发展观,采用合理的先进生产工艺和现代化管理措施;（4）加强劳动保护用品的科学使用与人性化管理。研究成果具有重要的推广应用价值。     

Association analysis of accident factors in petrochemical storage tank farms

In order to identify and clarify the association between the factors leading to accidents in a petrochemical tank area, this study analyzes investigation reports of 212 petrochemical tank farm accidents and combines this with the “association rule” mining and science related to complex networks. The main risk factors are determined and a risk factor data set is constructed; 75 association rules are extracted from the factor data set based on the Apriori algorithm. Then the obtained association rules are used to construct an accident factors network of the petrochemical storage tank area, and the topology characteristics of the network are further analyzed to reveal the importance of factors. Factors with large node degree, betweenness, and clustering coefficients are obtained, such as “violation of operating regulations”, “high concentration of flammable gas in the air”, “lack of experience and professional skills”, etc. These factors play an important role in the formation and development of accidents. The results also show that the accident cause network of the petrochemical storage tank area has a small average shortest path length and a large cluster coefficient, indicating a relatively close connection between the accident factors. The contributions of this study is not only extracting the hidden relationships among contributory factors to tank farm accidents using association analysis, but also revealing which factors are more important for the tank farm safety through the complex network.     

水上交通事故分析研究进展

为更好地开展水上交通事故分析研究,提高我国水上交通安全水平,从船舶风险评估与事故预测、事故分析以及事故及通航安全数据的组织与数据库建立3个方面对国内外的相关研究进行论述和分析。提出以建立水上交通事故时空数据平台为基础,结合数据挖掘和安全工程的理论方法研究事故发生机理,评估事故风险,并将研究事故模拟再现技术作为事故分析的重要技术手段。     

近年来山西省煤矿事故特点及对策措施

为掌握近年来山西省煤矿事故的发生特点,基于2015年—2018年山西省煤矿事故数据并结合全国煤矿事故数据进行对比,对事故等级、类型、地点、企业性质、煤矿辖区5个维度进行统计分析。结果表明:煤炭价格与煤矿安全形势有正负影响;近年来山西省煤矿安全总体形势好于全国,但机电、运输事故频发,水害事故时有发生,需要对该类事故加强防范措施;回采工作面为事故多发地点,这与全国煤矿事故特点不尽相同;国有重点煤矿的事故起数、死亡人数均高于地方煤矿企业,这主要是由于国有重点煤矿数量多、产量大的原因。应同时努力提高员工素质,坚决落实安全责任制,实现煤矿企业的安全生产。     

Industrial accidents in spray dryer plants for dairy products in Europe

Despite the fact that the information about past accidents is an integral part of accident prevention, the information about industrial accidents is not commonly available in food and agricultural sectors. Spray dryer plants for dairy products are not an exception. The aim of this paper is the creation of the representative database for industrial spray drying accidents in order to identify their major causes. The paper is divided into 8 chapters. The first two chapters deal with the general information about technology of spray drying of dairy products. The third chapter provides the outputs from the authors' database containing records of 25 accidents in milk drying facilities in Europe. These accidents took place between 1999 and 2019 in six European countries. Based on the accident database, the most common causes of accidents were identified. Processes that can cause a fire, an explosion, or damage to environment are described in the fourth, fifth and sixth chapter. The seventh chapter deals with process, technical and organizational measures; these were discussed using literature research and the results of the accident database. The eighth chapter is the conclusion with a focus on further improvement of process safety through newly developed protective tools.     

基于层次话题模型的煤矿安全事故致因要素研究

为促进安全发展,强化煤矿安全管理的科技支撑,在事故致因理论基础上,利用文本挖掘中的话题模型和创新性构建的层次致因要素话题模型,对我国2000—2015年发生的386起重特大煤矿事故调查报告进行了深入地挖掘、分析和研究。发现事故致因隐含的规律及各类事故之间的关联与共性,并进一步研究发现不同致因要素随时间的演化规律及致灾倾向,为煤矿安全管理找出重点,指导煤矿安全生产管理实践。     

关于事故发生规律的研究

为有效遏制我国目前伤亡事故的多发趋势和寻找事故发生规律,对事故发生的特点与致因进行了系统分析,建立了事故模型,运用数学方法找出了事故发生的基本规律和相互制约关系,理清了管理、物质、环境和人为因素在事故形成与发生时的相互作用与关系。对导致事故多发的机理进行了系统理论剖析,从而发现了事故规律,为安全管理与事故预防提供了理论依据。     

Conducting in-depth accident studies

In 1983 the Accident Research Unit at the Institute for Consumer Ergonomics began a major study, sponsored by the UK Department of Transport and three motor companies, to investigate the causes of injury to occupants in car accidents. This study has been under way for nearly ten years and the database of information is one of the most comprehensive of its kind in the world. This information plays a key role in establishing the priorities for safety research in the UK, based on real life accident data. This paper is concerned with the practical aspects of the collection and analysis of real life accident data. Issues include the establishment and maintenance of collaboration with police forces, hospital consultants and coroners; recruitment and training of staff; accident sampling; data quality control and large scale project management. The case is also made for the need to establish a coordinated European database of accident information to facilitate the development of appropriate safety requirements and to set priorities for safety research in Europe.     

从问责调查到问题调查——基于系统论和系统安全理论的思考与建议

生产安全事故调查处理是安全生产工作的一项重要内容,事故调查的政策和方法等的制度创新对完善我国安全生产工作的体制机制有很大意义。针对当前我国安全生产总体形势和事故调查处理的工作现状,采用对照评估的方法,分析了近三年来我国特大事故发生的态势和原因,总结了事故发生的基本规律和共性问题,基于系统安全的思想,认为安全是系统整体属性,系统脆弱性是导致重特大事故风险和严重损失的主要原因,不应简单把事故仅仅归咎于某些人或某件事的责任。据此,进一步分析生产安全事故调查处理的利弊得失,提出在现有基础上,进一步改革创新生产安全事故调查处理制度,应逐步实现从问责调查向问题调查的转变,并对如何修改《生产安全事故报告和调查处理条例》（国务院令第493号）提出了六条具体建议。     

地下采矿安全信息管理系统开发与应用

地下矿床开采潜在着众多的事故隐患，因此，为了进行事故隐患预防和预测，进行矿山安全信息管理和事故分析就显得十分重要。针对金川矿区的地质、采矿条件，研究开发了集“安全信息管理与事故分析”于一体的计算机辅助系统。简要地介绍了该系统的功能、作用以及应用情况。     

事故致因“2-4”模型及其事故原因因素编码研究

事故致因模型是用于事故原因分析和预防的重要理论依据,模型的可操作性是决定事故预防效果的重要影响因素。对目前国内研究较为持续和系统的事故致因"2-4"模型进行了深入研究,以增强其在事故分析时的可操作性。首先,研究了事故致因"2-4"模型中组织内、外部原因的各个阶段原因因素的划分情况;其次,根据得到的各阶段原因因素划分结果,对应用事故致因"2-4"模型分析事故原因的因素进行了编码;最后,以一起重大瓦斯爆炸事故为例,对事故致因"2-4"模型原因因素编码系统的有效性进行了实证研究。划分了事故致因"2-4"模型中的各原因模块中的原因因素,并得到了不安全动作和物态、习惯性不安全行为、安全管理体系、安全文化、外部因素等5个层级原因,确定了基于事故致因"2-4"模型的30个原因因素。对事故原因因素进行系统编码,提高了应用事故致因"2-4"模型进行事故原因分析和事故预防的可操作性,增强了其应用实践性。     

Diseases and motor vehicle fatalities in Finland in 2001 and 2002

OBJECTIVES: The possible connection between diseases among drivers and traffic accidents was examined for traffic safety purposes. METHODS: We studied medical conditions of drivers and passengers in all motor vehicle crashes with fatalities in Finland in 2001 and 2002 by using reports of road accident investigation teams, including autopsy reports. We analyzed a total of 542 crashes with 640 fatalities. Findings were also compared with available epidemiological data in Finland. RESULTS: An insignificant difference in the number of reported diseases was present between the different parties involved in crashes. However, among killed key drivers, so-called A-parties, psychiatric diseases, especially alcoholism, depression, and unspecific mental disorders, were diagnosed more often than in the groups of other drivers or passengers. In addition, A-parties were reported to more frequently suffer from cerebral arteriosclerosis and arterial hypertension. CONCLUSIONS: Drivers' diseases can be a risk factor for traffic accidents. Fitness to drive should therefore be considered in medical practice, particularly in patients with alcoholism and other psychiatric disorders.     

煤矿安全生产协同监控系统分析与设计

针对煤矿安全生产多套监控系统并存的现状,通过将煤矿系统模块化,形成了基于安全信息管理数据库的安全生产协同监控系统.该系统能够以工作场所为单位综合分析各类安全信息,协调各部门的安全生产工作,为其提供参考,同时节约资源,减少操作人员,提高危险源辨识准确性,预测事故并将其消灭在萌芽状态,形成闭环安全管理.     

矿山斜井轨道运输跑车事故风险分析

本应用风险分析方法中的事故树分析法，对矿山斜井轨道运输跑车事故发生的原因进行分析，并在此基础上进行风险评价。根据现实的各种约束，提出了可行的消除危险或减小风险的安全建议和措施。在机械设备运行阶段能够最大限度地保护操作，使设备系统达到可接受的最高安全水平。     

基于Apriori算法的易燃易爆危险化学品储运火灾爆炸事故关键致险因素的挖掘

导致易燃易爆危险化学品储运火灾爆炸事故的因素繁多、关系复杂,挖掘关键致险因素是减少管理成本、提高防控效率的关键。研究了200例事故等级为较大事故以上的易燃易爆危险化学品储运火灾爆炸事故的原因,采用事故树分析法建立易燃易爆危险化学品储运火灾爆炸事故树,并运用频度统计法遴选出致险因素;在此基础上,建立基于Apriori算法的关联规则模型进行数据挖掘,共得到14个关键致险因素。通过对关键致险因素与易燃易爆危险化学品储运火灾爆炸事故之间关联规则的分析表明,关键致险因素与事故之间存在强关联规则,单一关键致险因素或其组合的存在必将导致事故的发生,为实现危险化学品储运精准化安全管理提供参考。     

城市轨道交通运营安全事故多圈层匹配创新研究*

为了实现城市轨道交通运营安全事故管理经验的有效重用,运用主题爬虫技术和Access数据库构建城市轨道交通运营安全事故案例库;细分事故文本数据,提取案例关键特征属性,形成相似案例匹配基础;针对案例推理技术在实践应用中存在的不足,创新提出多圈层相似案例匹配策略,并用实例进行验证。研究结果表明:多圈层相似案例匹配策略在城市轨道交通运营安全事故检索应用中具有可行性和高效性。研究结果可对实现事故管理经验重用提供有效借鉴。     

高速公路交通安全现状分析及管理对策

为了分析高速公路交通安全现状,提出高速公路交通安全综合管理对策,采用对比分析法,研判当前高速公路交通安全形势,统计分析高速公路交通事故特征规律,提出基于“6E”的高速公路交通安全系统管理对策。以1994～2013年期间的高速公路交通事故统计数据为分析对象,采用事故起数、事故死亡人数、事故率、致死率、重大事故起数等作为评价指标,对比交通事故总量和不同等级公路事故情况,分析了当前我国高速公路交通安全形势。从交通安全执法管理的角度,对高速公路交通事故发生时间、事故形态、肇事车辆类型、事故原因、肇事驾驶人驾龄等进行了特征分析,在立法、教育、工程、执法、急救、评价6个方面,提出了高速公路交通安全管理系统化对策,为进一步认识当前高速公路交通安全形势,完善高速公路交通安全管理提供技术支持。     

Understanding factors associated with misclassification of fatigue-related accidents in police record

IntroductionFatigue is one of the riskiest causes of traffic accidents threatening road safety. Due to lack of proper criteria, the identification of fatigue-related accidents by police officers largely depends on inferential evidence and their own experience. As a result, many fatigue-related accidents are misclassified and the harmfulness of fatigue on road safety is misestimated.MethodIn this paper, a joint model framework is introduced to analyze factors contributing to misclassification of a fatigue-related accident in police reports. Association rule data mining technique is employed to identify the potential interactions of factors, and logistic regression models are applied to analyze factors that hinder police officers' identification of fatigue-related accidents. Using the fatigue-related crash records from Guangdong Province during 2005–2014, factors contributing to the false positive and false negative detection of the fatigue-related accident have been identified and compared.ResultsSome variables and interactions were identified to have significant impacts on fatigue-related accident detection.ConclusionsBased on the results, it can be inferred that the stereotype of certain groups of drivers, crash types, and roadway conditions affects police officers' judgment on fatigue-related accidents.Practical applicationsThis finding can provide useful information for training police officers and build better criteria for fatigue identification.