油品管输带电问题

以油品管输带电问题为专题,参考大量国外文献,结合笔者近年的研究,以便于石油储运工程技术人员掌握、应用和研究为目的,阐明油流带电的原因是油品与管壁接触后产生双电层,油流带走扩散层中的电荷形成冲动电流;论述冲动电流大小与油品物性、管道结构、油流速度等因素的关系;指出金属管道接地可消除管壁电荷、防止电荷聚积,但不能导走油流里的电荷;说明绝缘管道的要害是管壁会聚积电荷,可能导致刷形放电和击穿放电,缩短管子寿命,危及管输安全。     

炮控系统性能试验中角位移量的几种测量方法

炮控分系统是主战坦克等地面攻坚武器系统的重要组成部分,在坦克全系统定型试验前,必须进行分系统的试验测试。国内目前使用的测试方法和测量设备还停在五六十年代的水平,为适应主战坦克武器系统的发展,必须研制一套测量精度高、自动化程度强的测量设备。介绍了以计算机为中心构建的炮控性能参数测试系统的组成与工作原理,讨论了炮控系统性能试验中利用CCD传感器与坐标靶、PSD传感器与电子靶、点光源与CCD传感器、激光(光纤)陀螺传感器或电测法进行角位移量测量的几种方法。     

机载MIMO雷达稳健非均匀样本选择方法

针对杂波训练样本中混入干扰目标,导致空时自适应处理技术的杂波抑制性能下降问题,提出一种基于目标知识进行局部稀疏恢复的稳健训练样本挑选方法。该方法利用先验知识确定待检测单元中的目标区域,对整个角度-多普勒平面进行遍历,获得稀疏超完备基。通过变换矩阵对超完备基中对应的目标区域进行"挖空"处理,局部稀疏恢复出超分辨的杂波空时谱,获得杂波协方差矩阵估计。结合广义内积算法,实现非均匀训练样本挑选的过程。与常规结合广义内积方法相比,该方法对于不同干扰强度的训练样本,均有良好的检测效果。经仿真验证,所提方法的检验统计量之间区分度更加明显,对于干扰样本的挑选更加彻底,从而有效地提高了空时自适应处理技术的目标检测性能。     

新型逻辑器件与数字电子产品的系统集成研究

提出了一种实现电子产品系统集成和小型化的设计思想 ,探讨了采用FPGA (FieldPro grammableGateArray) ,SOC(System On a Chip) ,IP(IntellectualProperty)等新型逻辑器件以及EDA(ElectronicDesignAutomation)手段的设计方法 ,实现软硬件协同仿真、验证和电子虚拟样机以及设计重用的设计理念 ,为 2 1世纪智能电子产品的系统集成开辟了一条先进的技术途径。     

添加剂对米糠油清净性和氧化安定性的影响

植物油是一种潜在的绿色润滑剂基础油,但其氧化安定性较差制约了它的应用。考察了清净剂和抗氧剂对米糠油高温清净性及氧化安定性的影响。结果表明：传统的含有金属离子的清净剂及抗氧抗腐剂对米糠油的高温清净性及氧化安定性没有提高,甚至会降低这两者性能;而不合金属离子的抗氧剂TL-57能改善这两者性能。     

Analysis and optimal design of discrete order picking technologies along a line

Order picking accounts for most of the operating expense of a typical distribution center, and thus is often considered the most critical function of a supply chain. In discrete order picking a single worker walks to pick all the items necessary to fulfill a single customer order. Discrete order picking is common not only because of its simplicity and reliability, but also because of its ability to pick orders quickly upon receipt, and thus is commonly used by e‐commerce operations. There are two primary ways to reduce the cost (walking distance required) of the order picking system. First is through the use of technology—conveyor systems and/or the ability to transmit order information to pickers via mobile units. Second is through the design—where best to locate depots (where workers receive pick lists and deposit completed orders) and how best to lay out the product. We build a stochastic model to compare three configurations of different technology requirements: single‐depot, dual‐depot, and no‐depot. For each configuration we explore the optimal design. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

Models for production planning under power interruptions

We present a robust optimization model for production planning under the assumption that electricity supply is subject to uncertain interruptions caused by participation in interruptible load contracts (ILCs). The objective is to minimize the cost of electricity used for production while providing a robust production plan which ensures demand satisfaction under all possible interruption scenarios. The combinatorial size of the set of interruption scenarios makes this a challenging problem. Furthermore, we assume that no probabilistic information is known about the supply uncertainty: we only use the information given in the ILC to identify an uncertainty set that captures the possible scenarios. We construct a general robust framework to handle this uncertainty and present a heuristic to compute a good feasible solution of the robust model. We provide computational experiments on a real‐world example and compare the performance of an exact solver applied to the robust model with that of the heuristic procedure. Finally, we include the operational impact of interruptions such as “recovery modes” in the definition of the uncertainty set. © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013     

The incentive effect of acceptance sampling plans in a supply chain with endogenous product quality

This article studies a firm that procures a product from a supplier. The quality of each product unit is measured by a continuous variable that follows a normal distribution and is correlated within a batch. The firm conducts an inspection and pays the supplier only if the product batch passes the inspection. The inspection not only serves the purpose of preventing a bad batch from reaching customers but also offers the supplier an incentive to improve product quality. The firm determines the acceptance sampling plan, and the supplier determines the quality effort level in either a simultaneous game or a Stackelberg leadership game, in which both parties share inspection cost and recall loss caused by low product quality. In the simultaneous game, we identify the Nash equilibrium form, provide sufficient conditions that guarantee the existence of a pure strategy Nash equilibrium, and find parameter settings under which the decentralized and centralized supply chains achieve the same outcome. By numerical experiments, we show that the firm's acceptance sampling plan and the supplier's quality effort level are sensitive to both the recall loss sharing ratio and the game format (i.e., the precommitment assumption of the inspection policy). © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013     

基于BPMN的作战视图辅助设计方法

体系结构设计在C4ISR系统开发中越来越受到重视.由于目前体系结构设计主要是依据DOD体系结构框架,体系结构产品是框架最基本的表现形式,因此,体系结构产品设计是体系结构设计中的一个关键问题.在深入研究BPMN的基础上,提出了基于BPMN的作战视图辅助设计方法,建立了企业过程图与作战视图产品OV5、OV6的转换关系.     

违法销售及使用不合格消防产品行政处罚案例剖析

通过对一起违法销售及使用不合格消防产品案件调查取证、讨论分析,运用相关的法律法规知识,阐述了违法销售、使用不合格消防产品双方应负的不同责任,从而作出责令使用单位停止使用、没收销售单位不合格消防产品等消防行政处罚决定。