信号产品接线端子选型

论文对信号产品常用的两种典型接线端子特性进行了介绍,详细分析了选型方法,包括电气间隙、接线容量以及电流负荷能力。     

多种群果蝇优化算法求解自动化仓库拣选作业调度问题

针对自动化仓库的拣选作业调度问题，提出了一种多种群果蝇优化算法。采用随机键编码方式，利用味道浓度判定值的大小次序来映射调度解。通过同时学习子种群的局部最优和全局最优个体，实现对果蝇个体的更新计算。为了避免陷入局部最优，采用了一种果蝇个体变异机制。计算结果显示，多种群果蝇优化算法在计算精度和收敛效率方面要好于基本果蝇优化算法，并且搜索过程能够有效跳出局部最优。     

引进200 km/h动车组钩缓装置比较分析

介绍了我国铁路引进的欧洲和日本共3种动车组密接式钩缓装置的主要技术参数,并对这3种钩缓装置的总体设计、车钩和缓冲器的技术特点进行了比较分析。     

Consumer attitudes about electric cars: Pricing analysis and policy implications

As electric vehicles (EVs) become more readily available, sales will depend on consumers’ interest and understanding. A survey of consumer attitudes on electric cars was conducted in Manitoba from late 2011 to early 2012. It utilizes two price assessment methods. The van Westendorp price sensitivity method (PSM) shows the acceptable price range for EVs to be $22,000–27,500. This range closely matches average price range for sales of conventional cars during the same period. The willingness-to-pay method reveals consumers are unwilling to pay large premiums for EVs, even when given information on future fuel savings. A consumer group with experience or exposure to EVs is somewhat different. Nearly 25% of these people are willing to pay a premium of up to $10,000. Different interpretations can be drawn from these responses, calling for further research. An apparent policy opportunity involves consumer education to enhance knowledge and facilitate EV purchase decisions. Survey results also support the hypothesis that EV rollout has focused too much on technology, and not enough on consumers.     

Agent-based modelling for assessing hybrid and electric cars deployment policies in Luxembourg and Lorraine

Electric mobility is often presented as a way to tackle the environmental issues associated with individual mobility, provided that electric vehicles are adopted by drivers on a mass scale. In this paper, we propose an agent-based model (ABM) aiming at modelling the deployment of these vehicles. ABM is particularly indicated when modelling complex systems whose final results are the combination of the interactions between individuals and their environment and when the agents have partial information to take their decisions. We selected Luxembourg and its French neighbouring region, Lorraine, as the case study for our model, to test Luxembourg’s ambitious objective of deploying 40,000 electric vehicles by the year 2020. Model results show that the number of battery powered electric vehicles in Luxembourg (including vehicles from Lorraine’s commuters crossing the border every day) could be between 2000 and 21,000. A high number of commercial vehicles in Luxembourg, as well as an unlikely deployment in the neighbouring Belgium and Germany would therefore be required to meet the deployment objective. However, the deployment of plug-in hybrid vehicles could reach 60,000 cars by the end of 2020. To achieve this number, the deployment of charging points seems to be the more effective policy, along with actions aiming at increasing public awareness and acceptance of electric vehicles. The interest in using the ABM also lies in the identification of the main individuals’ characteristics affecting the deployment of electric vehicles (household size, commuting distances, etc.), which further support the setting of public policies.     

A network wide simulation strategy of alternative fuel vehicles

This paper presents an integrated simulator “CUIntegration” to evaluate routing strategies based on energy and/or traffic measures of effectiveness for any Alternative Fuel Vehicles (AFVs). The CUIntegration can integrate vehicle models of conventional vehicles as well as AFVs developed with MATLAB-Simulink, and a roadway network model developed with traffic microscopic simulation software VISSIM. The architecture of this simulator is discussed in this paper along with a case study in which the simulator was utilized for evaluating a routing strategy for Plug-in Hybrid Electric Vehicles (PHEVs) and Electric Vehicles (EVs). The authors developed a route optimization algorithm to guide an AFV based on that AFV driver’s choice, which included; finding a route with minimum (1) travel time, (2) energy consumption or (3) a combination of both. The Application Programming Interface (API) was developed using Visual Basic to simulate the vehicle models/algorithms developed in MATLAB and direct vehicles in a roadway network model developed in VISSIM accordingly. The case study included a section of Interstate 83 in Baltimore, Maryland, which was modeled, calibrated and validated. The authors considered a worst-case scenario with an incident on the main route blocking all lanes for 30 min. The PHEVs and EVs were represented by integrating the MATLAB-Simulink vehicle models with the traffic simulator. The CUIntegration successfully combined vehicle models with a roadway traffic network model to support a routing strategy for PHEVs and EVs. Simulation experiments with CUIntegration revealed that routing of PHEVs resulted in cost savings of about 29% when optimized for the energy consumption, and for the same optimization objective, routing of EVs resulted in about 64% savings.     

平台蓄电池间的空调环境设计

以往海上平台蓄电池的通风设计,通常是采用风机排风的设计方案。根据蓄电池的选型,对于平台蓄电池间的室内温度、湿度提出了具体要求,为满足设计目标,对蓄电池间进行了新的空调环境设计。说明了设计流程,并比较了新设计与以往设计的特点。     

Are there bubbles in the shipping freight market?

ABSTRACT

This paper addresses the reconsideration of price bubbles specific to the shipping freight market based on the method of the Generalized Supremum Augmented Dickey–Fuller (GSADF). This approach offers the opportunity to recognize multiple bubbles and set their corresponding original and final dates. Empirical results reveal that four bubbles existed in the shipping freight market between October 1988 and February 2018 in which freight deviated from fundamental values. Strong demand (especially in China), the supply capacity, crude oil prices and U.S. dollar fluctuations are potential explanations for the first three bubbles. The global financial crisis that burst in 2008 is the major factor results in the last bubble. Hence, we must distinguish the potential reasons of bubbles in different periods and take measures such as promoting economic multipolarization, strengthening the bargaining power of China, building an effective information transfer system, employing financial derivatives and accelerating the consolidation of the shipping industry to alleviate the negative influences on global seaborne trade.     

CPTU数据与土体物理指标的相关性分析

根据港珠澳大桥勘察工程中应用的大量孔压静力触探试验数据与室内土工试验结果进行统计对比研究,发现CPTU数据与土体的细粒含量、天然密度、黏性土含水量、孔隙比和液性指数之间存在很好的相关关系。基于这些相关关系,为该区域利用CPTU数据评估土体的物理指标提供了一种新的途径。     

基于DSP的低压断路器校验电源的研制

利用电力电子技术的拓扑结构,采用基于DSP芯片的控制电路,研制了用于舰船热继电器及塑壳断路器校验所需要的交流电源装置.与传统电源相比较,不但电源装置的体积明显减少,而且输出的电流精度高,动态响应速度快,此外所研制的电源装置采用友好的人机界面,使试验过程变得简单容易,可以降低试验人员的劳动强度.