低成本高效慢速烤燃试验方法研究

目的研究低成本高效慢速烤燃试验方法。方法利用自主研发的一套慢速烤燃试验装置,以1℃/min和3.3℃/h升温程序作为对比试验,设置几种三阶段升温程序,对JBO-9013和JH-14炸药进行慢速烤燃试验,以此获得不同升温程序下试样的响应温度和响应等级。结果 1℃/min、3.3℃/h、三阶段(100/150/193℃)升温程序下,JBO-9013响应温度分别为243.1、199.5、199.8、201.4、193.0℃,响应等级均为燃烧反应;JH-14响应温度分别为211.0、186.0、191.7℃,响应等级均为爆轰反应。结论升温程序对JBO-9013和JH-14响应温度和响应剧烈程度均有影响。与GJB8018—2013中1℃/min升温程序相比,三阶段升温程序与MIL-STD-2105D和STANAG 4439中3.3℃/h烤燃试验结果吻合度较高。因此,三阶段升温程序具有缩短试验周期、提高试验效率和降低试验成本的作用。     

泵设备机械密封泄漏事故防范技术探讨

分析了多起石化行业因果设备机械密封泄漏引发的重大火灾事故原因,研究表明:机械密封泄漏的诱发因素多是泵轴承严重故障后,机械密封过度磨损导致密封失效,使高温油料泄漏。为有效防范机械密封泄漏事故,提出防范措施:一是要加强泵轴承的监测,及时发现泵轴承存在的问题,避免泵轴承长期带病运行;二是要加强机泵组的联锁控制,当轴承出现严重故障后,能使机泵组及时停车,避免机械密封过度磨损导致泄漏。     

关于计划生育法制建设的思考

社会主义市场经济体制的建立和完善，给计划生育工作带来了一系列的新情况、新问题。因此，把计划生育工作纳入法制的轨道显得尤为重要。本文分析了我国计划生育工作靠行政约束的局限性；总结了市场经济体制下，计划生育工作面临的新特点；阐述了加强计划生育法制建设的紧迫性和可行性；并提出了计划生育立法的基本思路     

Parameterizing,evaluating and comparing metapopulation models with data from individual-based simulations

Due to the lack of sufficient data and appropriate ecological information parameterizing predictive population dynamical models usually is a difficult task. The approach proposed in this study is meant to overcome this problem by using detailed individual-based simulations to generate artificial data. With short-term data samples, the models to be investigated can be parameterized and their predictions be compared. The flexibility of individual-based simulations as experimental tools also facilitates the evaluation and comparison of different (aggregated) model types. The presented approach is a step towards unifying models of different complexity. As an example we applied it to two metapopulation models of insect species in a highly fragmented landscape: the well-known incidence function model with a patch-based representation of space and a grid-based analogue. The models are tested with respect to their data requirement and recommendations for a better data sampling are derived.     

获取日均值的大气监测时段选择

利用数理统计方法，以污染物瞬时监测数据为基础数据，选用控制在一定置信度下最大允许误差的统计公式确定出样本容量，并采用模糊集合运算—优化组合选择法，确定出获取日均值的最佳监测时段．     

Identifying best practices states in motorcycle rider education and licensing

PROBLEM: After decreasing to a historic low in 1997, motorcycle crash-related fatalities are increasing. Although causes remain unclear, motorcycle rider education and licensing play key roles in reducing motorcycle crashes and injuries. Yet, little is known about what constitutes effective rider training and licensing. This study develops a model of best practices in motorcycle rider education and licensing and combines primary and secondary data to identify states that most closely adhere to this model. Evidence on the validity of the model is also examined. METHOD: States were rated along three areas of best practices: (a) program administration; (b) rider education; and (c) licensing based on 2001 data collected for a National Highway Traffic Safety Administration (NHTSA)-sponsored study. RESULTS: Results indicate wide variation in states' adherence to best practices; several states meet most, others very few. When the areas of best practices are considered separately, a state tends to behave similarly on all three. Initial evidence supports the validity of the model, with high best practices states having the lowest rates of motorcycle fatalities. IMPACT ON TRAFFIC SAFETY: As motorcycle-related crashes increase and state and federal support for rider education programs diminishes, it is critical that states identify deficiencies in their program and learn from successful states about efficient, cost-effective strategies for increasing best practices in motorcycle rider education and licensing.     

云南不同类别基本农田土壤环境质量的时空差异

按照《农田土壤环境质量监测技术规范》（NY／T395--2000）,连续3年定点定位监测了云南亚热带干热河谷旱（缓）坡农耕地、中海拔旱（陡）坡农耕地和平坝区蔬菜地土壤环境质量。统计分析了监测结果的时间差异和空间差异。空间差异：旱（陡）坡农耕地〉旱（缓）玻农耕地〉平坝区蔬菜地;时间差异：旱（缓）坡农耕地〉平坝区蔬菜地〉旱（陡）坡农耕地。     

锅炉监控仪表的改进与实践

在原有"锅炉高低水位报警器"的基础上,研制出锅炉智能监控仪表.该仪表系统实现了自动操作、失误防护、报警及连锁保护等功能,对锅炉各类事故有积极的预防作用.     

基于改进灰色模型的管壁蜡沉积厚度预测研究

为对含蜡原油管道中的蜡沉积厚度进行准确预测,在函数cot(x2)变换的基础上,结合平移变换思想,利用cot(x2+c)变换建立新的改进GM(1,1)模型。以现场管道结蜡数据和室内环道结蜡数据为例,对比改进GM(1,1)模型、基于函数cot(x2)变换建立的GM(1,1)模型及传统GM(1,1)模型之间的预测精度,并分析平移量c对改进GM(1,1)模型预测精度的影响。结果表明:改进GM(1,1)模型的预测精度最高,其次是基于函数cot(x2)变换建立的GM(1,1)模型,而传统GM(1,1)模型的预测精度最低;随着平移量的增大,改进GM(1,1)模型的平均相对预测误差呈现出先减小后增大的趋势,因此合理的平移量有助于模型精度的提高。应用改进GM(1,1)模型来预测管道蜡沉积厚度是可行的,该方法可为含蜡原油管道蜡沉积厚度的准确预测提供参考和借鉴。     

基于风网的自学习动态监测系统分析

煤矿井下巷道风速是随时变化的,主要规律是一种围绕某一平均值的上下起伏的平稳随机过程,其表现为平均风速和脉动风速,风速传感器最大限度地反映了井下主要巷道风速信息。我们将井下风速传感器与通风解算技术相结合,对全矿井的风网进行实时计算,从而得到了全矿井较准确的实时分风量分布状况。系统能够将风速传感器采集到的实时风速转换为巷道的实时风量,根据月风量统计结果进行巷道阻力系数的自动调整;系统采用相关分析技术,测定煤矿井下数据之间相关关系和规律,并据此建立预分析测模型,进而进行风量的预测和控制;系统具有自我学习功能,通过不断修正模型参数,将实时井下探测数据用于分析和预测,为安全管理提供有效指导。