石英砂加工企业职业病危害防护措施与管理对策研究

通过对安徽省石英砂加工企业生产工艺流程和现场进行调查分析,得出矽尘和噪声是两种最主要的职业病危害因素,发现石英砂生产企业矽尘和噪声危害十分严重,生产作业现场未配备任何防护装备和个人防护用品,作业人员接触职业病危害的比率非常高。分析了石英砂加工企业在职业病危害防护与管理方面的欠缺与不足,提出了针对矽尘和噪声危害因素的具体工程防护措施与管理对策,从源头控制和消除职业病危害,保护劳动者的生命安全与健康。     

基于ARIMA的安全生产事故预测与实证研究

为了减少企业安全管理者在生产作业中由于不确定性导致错误决策所产生的风险,在企业历年安全生产事故数据基础上进行预测具有一定的现实意义。以某企业2008年至2011年的安全生产事故次数时序数据,采用EViews 5统计分析软件,基于ARIMA时间序列预测模型更加关注对事故发生是否平稳而相对于其他预测模型更关注于趋势研究的良好特点,建立安全生产事故ARIMA时序预测模型,并对2012年的安全生产事故发生次数进行预测,通过效果检验发现该模型预测结果基本上能够反映该企业安全生产事故发生的实际情况。通过ARIMA方法在某企业安全生产事故预测具体案例的实现,是对现有安全生产事故预测方法的补充和完善,可为企业安全管理和决策提供一定的指导。     

综放工作面沿空留巷支护阻力研究

为了计算综放工作面沿空留巷支护阻力,以结构力学理论为基础,分析综放工作面沿空留巷支护阻力计算模型,建立沿空留巷围岩和支护体的结构力学模型,应用超静定结构和静定结构分析支护体与沿空留巷围岩相互作用机制,推导出巷旁支护阻力的计算公式.结果表明,进行沿空留巷支护阻力力学分析时,要考虑顶板极限断裂前和断裂后两种状态下的受力情况,支护阻力与岩层厚度、容重、煤体极限平衡区宽度、跨距、支护体宽度和巷道宽度等因素密切相关.工业性试验表明,该技术的应用是成功而有效的.因此,综放巷内沿空留巷围岩结构力学模型和支护阻力计算公式是合理的,可在类似条件的综放工作面中应用.     

基于矿井通风三维仿真系统软件的矿用空气幕选型方法

根据矿井风流调节的具体要求,合理选择矿用空气幕的型号是应用矿用空气幕技术的关键。在分析矿用空气幕选型依据及原理的基础上,应用矿井通风三维仿真系统软件模拟矿用空气幕运行的效果,来研究确定矿用空气幕的选型参数及影响因素。结果表明,应用矿井通风三维仿真系统软件所选择的矿用空气幕与理论推导的计算结果一致,此方法能够最大限度地反映矿山实际情况,具有直观、高效等特点。     

基于改进的HFACS和SPA的矿山安全人因分析

为了更好地服务于矿山安全管理,同时解决矿山人为因素调查、分析和评价方面存在的缺失,对部分矿山事故进行了统计分析,研究了诱发事故发生的人因因素,并分析了各因素发生的原因。在此基础上,结合对部分矿山安全管理现状的研究,建立了矿山HFACS分析模型。该模型包括5类事故致因、24个人因因素。应用该模型,结合集对分析方法,可实现矿山人因因素定量与定性分析。以陕西省某矿山为例,建立了该矿山的HFACS模型。采用专家评分法、层次分析法确定各因素的权重,计算出系统的联系度表达式。利用该表达式对该矿山的集对势、联系度、不确定性和悲观势进行了分析。结果表明,该矿山人因安全状况良好,个别人因因素指标需要改善和提高。矿山HFACS模型可以很好地涵盖矿山事故中的人因因素,通过对矿山人因现状的集对分析,可以有效提高矿山安全性。     

基于正交模拟试验的矿用空气幕结构优化

为了降低空气幕的能耗,依据空气动力学理论,建立了以双三次方曲线为整流器外轮廓线的矿用空气幕模型,采用正交模拟试验方法,以出风口速度分布均匀性及阻力损失为评价指标,研究了不同结构参数下矿用空气幕内流场分布规律,计算出矿用空气幕出风口断面的速度分布均匀性参数及压力损失,得到了最优的矿用空气幕结构模型,该模型风流速度均匀性参数为0.038 5,压力损失为98.3Pa.结果表明,压力漩涡的大小及流速滞留区的范围与整流器密切相关.对矿用空气幕出风口速度分布均匀性影响最大的是供风器出风口宽度,其次为导流体中截面半径;对矿用空气幕压力损失影响最大的是供风器出风口宽度,其次为整流器及供风器长度.当导流体为圆锥体时,矿用空气幕的性能最优.     

2种铀矿井下常用口罩对气溶胶粒子的过滤特性研究

为探究铀矿井下常用的2种口罩对气溶胶粒子的过滤特性,在我国南方某铀矿山,利用APS3321型空气动力学粒径谱仪对井下工作人员常用纱布口罩和KN95型口罩的过滤特性进行了研究.井下气溶胶监测数据显示,该铀矿井下典型作业场所PM10的质量浓度介于0.069～ 9.800 mg/m3,个数浓度介于173.918 ～2 561.600个/cm3;PM2.5的质量浓度介于0.039～0.479 mg/m3之间,个数浓度介于173.100～2 556.382个/cm3之间.口罩过滤特性试验结果表明:1)KN95型口罩和纱布口罩对PM10的平均过滤效率分别为95％和76％,对PM2.5的平均过滤效率分别为93％和61％,可见KN95型口罩过滤效率明显高于纱布口罩;2)在0.5～3.5 μm粒径范围内,2种口罩对颗粒物的过滤效率均随粒径增大而增大,在3.5～ 10μm粒径范围内,2种口罩对不同粒径颗粒物的过滤效率均接近100％;3)无论从质量浓度还是个数浓度来看,经口罩过滤后的气溶胶粒子大多数分布在2.5μm粒径范围内,表明PM2.5是主要的气溶胶污染物.     

Estimated Injury Risk for Specific Injuries and Body Regions in Frontal Motor Vehicle Crashes

Objective: Injury risk curves estimate motor vehicle crash (MVC) occupant injury risk from vehicle, crash, and/or occupant factors. Many vehicles are equipped with event data recorders (EDRs) that collect data including the crash speed and restraint status during a MVC. This study's goal was to use regulation-required data elements for EDRs to compute occupant injury risk for (1) specific injuries and (2) specific body regions in frontal MVCs from weighted NASS-CDS data.

Methods: Logistic regression analysis of NASS-CDS single-impact frontal MVCs involving front seat occupants with frontal airbag deployment was used to produce 23 risk curves for specific injuries and 17 risk curves for Abbreviated Injury Scale (AIS) 2+ to 5+ body region injuries. Risk curves were produced for the following body regions: head and thorax (AIS 2+, 3+, 4+, 5+), face (AIS 2+), abdomen, spine, upper extremity, and lower extremity (AIS 2+, 3+). Injury risk with 95% confidence intervals was estimated for 15–105 km/h longitudinal delta-Vs and belt status was adjusted for as a covariate.

Results: Overall, belted occupants had lower estimated risks compared to unbelted occupants and the risk of injury increased as longitudinal delta-V increased. Belt status was a significant predictor for 13 specific injuries and all body region injuries with the exception of AIS 2+ and 3+ spine injuries. Specific injuries and body region injuries that occurred more frequently in NASS-CDS also tended to carry higher risks when evaluated at a 56 km/h longitudinal delta-V. In the belted population, injury risks that ranked in the top 33% included 4 upper extremity fractures (ulna, radius, clavicle, carpus/metacarpus), 2 lower extremity fractures (fibula, metatarsal/tarsal), and a knee sprain (2.4–4.6% risk). Unbelted injury risks ranked in the top 33% included 4 lower extremity fractures (femur, fibula, metatarsal/tarsal, patella), 2 head injuries with less than one hour or unspecified prior unconsciousness, and a lung contusion (4.6–9.9% risk). The 6 body region curves with the highest risks were for AIS 2+ lower extremity, upper extremity, thorax, and head injury and AIS 3+ lower extremity and thorax injury (15.9–43.8% risk).

Conclusions: These injury risk curves can be implemented into advanced automatic crash notification (AACN) algorithms that utilize vehicle EDR measurements to predict occupant injury immediately following a MVC. Through integration with AACN, these injury risk curves can provide emergency medical services (EMS) and other patient care providers with information on suspected occupant injuries to improve injury detection and patient triage.     

The Real-World Safety Potential of Connected Vehicle Technology

Objective: This article estimates the safety potential of a current commercially available connected vehicle technology in real-world crashes.

Method: Data from the Centre for Automotive Safety Research's at-scene in-depth crash investigations in South Australia were used to simulate the circumstances of real-world crashes. A total of 89 crashes were selected for inclusion in the study. The crashes were selected as representative of the most prevalent crash types for injury or fatal crashes and had potential to be mitigated by connected vehicle technology. The trajectory, speeds, braking, and impact configuration of the selected in-depth cases were replicated in a software package and converted to a file format allowing “replay” of the scenario in real time as input to 2 Cohda Wireless MK2 onboard units. The Cohda Wireless onboard units are a mature connected vehicle technology that has been used in both the German simTD field trial and the U.S. Department of Transport's Safety Pilot project and have been tuned for low false alarm rates when used in the real world. The crash replay was achieved by replacing each of the onboard unit Global Positioning System (GPS) inputs with the simulated data of each of the involved vehicles. The time at which the Cohda Wireless threat detection software issued an elevated warning was used to calculate a new impact speed using 3 different reaction scenarios and 2 levels of braking.

Results: It was found that between 37 and 86% of the simulated crashes could be avoided, with highest percentage due a fully autonomous system braking at 0.7 g. The same system also reduced the impact speed relative to the actual crash in all cases. Even when a human reaction time of 1.2 s and moderate braking of 0.4 g was assumed, the impact speed was reduced in 78% of the crashes. Crash types that proved difficult for the threat detection engine were head-on crashes where the approach angle was low and right turn–opposite crashes.

Conclusions: These results indicate that connected vehicle technology can be greatly beneficial in real-world crash scenarios and that this benefit would be maximized by having the vehicle intervene autonomously with heavy braking. The crash types that proved difficult for the connected vehicle technology could be better addressed if controller area network (CAN) information is available, such as steering wheel angle, so that driver intent can be inferred sooner. More accurate positioning in the real world (e.g., combining satellite positioning and accelerometer data) would allow the technology to be more effective for near-collinear head-on and rear-end crashes, because the low approach angles that are common in such crashes are currently ignored in order to minimize false alarms due to positioning uncertainty.     

2015年9-10月国内生产安全事故统计分析

统计了2015年9-10月国内发生的各种生产安全事故114起,其中包括交通事故、矿业事故、爆炸事故、火灾、毒物泄漏与中毒和其他事故.统计表明,在114起事故中,交通事故占64.91％,矿业事故占3.51％,爆炸事故占5.26％,火灾占2.63％,毒物泄漏与中毒占5.26％,其他事故占18.42％.114起事故共死亡520人.死亡人数的百分比分别为交通事故62.88％,矿业事故5.00％,爆炸事故5.00％,火灾4.62％,毒物泄漏与中毒3.85％,其他事故18.65％.2015年9-10月生产安全事故发生较多的5个省分别为广东(12起)、甘肃(9起)、安徽(9起)、云南(8起)和辽宁(7起);死亡人数较多的5个省分别为安徽(52人)、广东(47人)、河南(39人)、甘肃(38人)和山东(35人).