桑塔纳轿车电控节气门系统故障排除

以上海大众桑塔纳汽车电控节气门控制系统为例,介绍了电控节气门系统的组成和工作原理,结合具体案例分析了其故障排除方法。     

高速铁路牵引计算与仿真系统研究

高速铁路的牵引计算与仿真对优化高速铁路线路设计、优化列车运行时间等方面具有重要意义。然而由于缺少高速铁路牵引计算规范和动车组数据资料保密未公开等原因,导致对高速铁路牵引计算仿真与系统的研究较少。采用动车组特性曲线CAD矢量化法和程序开发相结合,解决了高速铁路牵引计算力学数据的有效获取。基于多质点模型,建立了动车组牵引力、制动力、列车阻力的计算方法和公式。从牵引、惰行和制动三方面建立了动车组运动模型求解和运行过程计算算法。在此基础上,采用C#2010编程语言和Access数据库,开发了基于多质点模型的动车组牵引计算与仿真系统。实现了动车组数据和线路等数据的一体化管理;采用动车组编组等参数化设置,实现了不同参数下的高速铁路牵引计算与运行过程的完整仿真。     

计量实验室温湿度监控调节系统研发与应用

为实现对计量实验室温湿度的实时监控,分别从硬件和软件2方面,设计计量实验室温湿度监控调节系统.该系统以单片机为核心,通过多个温湿度传感器采集数据,利用LCD显示屏、SD存储卡、报警器和红外发射器实现实验室温湿度值显示、保存、超值报警和自动调节等功能,不仅便于检定人员准确掌握实验室不同位置、不同时段温湿度的变化情况,还有...     

基于Gb接口信令分析的深圳站进路预告故障处理

进路预告信息通过GPRS网络传递,是CTC与CIR之间传输的重要业务之一,是保障铁路运输安全的重要手段。围绕广深线深圳站进路预告接收异常问题,进行故障定位,判断为因CIR发生小区重选导致短暂脱网丢包,从而影响到深圳站进路预告接收,为此提出调整天线倾角及重选参数的优化方案,为相关铁路单位运维工作提供参考。     

基于CAD2AME的飞机液压系统流阻计算方法

飞机液压系统包含泵源系统、管路系统、附件和用户系统,飞机管路系统是飞机泵源和用户之间的纽带,液压管路流阻特性决定了用户系统入口的压力和流量,影响用户动静态响应性能,特别是对一些伺服作动系统。传统流阻特性计算方法主要针对稳态工况计算,难以实现动态响应计算,且对工作人员要求高、计算工作量大。随着全三维设计应用于飞机液压管路系统设计制造,为基于计算机的流阻特性仿真分析提供了可能。本文介绍和对比了三种计算方法,选取了较优的CAD2AME方法对某飞机局部液压管路系统流阻特性进行仿真分析,证明该方法可快速准确的对飞机液压管路进行分析。     

MARK III 型LNG模拟舱结构安全评估及优化设计研究

液化天然气（Liquefied Natural Gas）运输船的建造技术复杂，货物维护系统（Cargo Containment System） 种类繁多，船上 LNG 常采用低温高压的储藏方式，该方式对储舱结构强度以及货物维护系统的 变形要求非常高。本文采用有限元方法， 对根据行业规范设计的 MARK III 型 LNG 模拟舱结构进行结构 强度安全性评估，并在满足 LNG 模拟舱结构承载能力要求的基础上，对 MARK III 型 LNG 模拟舱进行结 构优化设计研究，为今后 MARK III 型 LNG 运输船的船体结构设计和优化提供可靠的技术支撑。     

Port-city exhaust emission model: An application to cruise and ferry operations in Las Palmas Port

Exhaust emissions cause air pollution and climate change. The exhausts of shipboard fuel combustion are equally damaging particularly, so close to the environmentally sensitive mainland and island coasts, as well as at ports due to their urbanized character. This paper estimates, for the first time, exhaust pollutants related to cruise and ferry operations in Las Palmas Port and, in an island context. Emission assessment is based on a full bottom-up model and messages transmitted by the Automatic Identification System during 2011. Results are described as a breakdown of NOx, SOx, PM_2.5, CO and CO₂, according to ship classes, operative type and time, providing valuable information to environmental policy makers in port-city areas and islands under similar conditions. It is generally concluded that vessel traffic and passenger shipping in particular are a source of air pollution in Las Palmas Port. Emission maps confirm location of hot spots in quays assigned for cruise and ferry operations. Policy recommendations encourage regular monitoring of exhaust emissions and market-based incentives supported by details on polluting and operative profiles. On the other hand, feasibility studies are suggested for automated mooring, LNG bunkering facilities and also shore-side energy services, prioritizing berthing of shipping sectors (or sub-sectors) with the highest share of exhaust emissions once their local effects have been confirmed by a dispersion, exposure and impact assessment.     

Equilibrium analysis and route guidance in large-scale networks with MFD dynamics

Recent studies have demonstrated that Macroscopic Fundamental Diagram (MFD), which provides an aggregated model of urban traffic dynamics linking network production and density, offers a new generation of real-time traffic management strategies to improve the network performance. However, the effect of route choice behavior on MFD modeling in case of heterogeneous urban networks is still unexplored. The paper advances in this direction by firstly extending two MFD-based traffic models with different granularity of vehicle accumulation state and route choice behavior aggregation. This configuration enables us to address limited traffic state observability and to scrutinize implications of drivers’ route choice in MFD modeling. We consider a city that is partitioned in a small number of large-size regions (aggregated model) where each region consists of medium-size sub-regions (more detailed model) exhibiting a well-defined MFD. This paper proposes a route guidance advisory control system based on the aggregated model as a large-scale traffic management strategy that utilizes aggregated traffic states while sub-regional information is partially known. In addition, we investigate the effect of equilibrium conditions (i.e. user equilibrium and system optimum) on the overall network performance, in particular MFD functions.     

Compromising system and user interests in shelter location and evacuation planning

Traffic management during an evacuation and the decision of where to locate the shelters are of critical importance to the performance of an evacuation plan. From the evacuation management authority’s point of view, the desirable goal is to minimize the total evacuation time by computing a system optimum (SO). However, evacuees may not be willing to take long routes enforced on them by a SO solution; but they may consent to taking routes with lengths not longer than the shortest path to the nearest shelter site by more than a tolerable factor. We develop a model that optimally locates shelters and assigns evacuees to the nearest shelter sites by assigning them to shortest paths, shortest and nearest with a given degree of tolerance, so that the total evacuation time is minimized. As the travel time on a road segment is often modeled as a nonlinear function of the flow on the segment, the resulting model is a nonlinear mixed integer programming model. We develop a solution method that can handle practical size problems using second order cone programming techniques. Using our model, we investigate the importance of the number and locations of shelter sites and the trade-off between efficiency and fairness.     

Learning marginal-cost pricing via a trial-and-error procedure with day-to-day flow dynamics

This paper investigates the convergence of the trial-and-error procedure to achieve the system optimum by incorporating the day-to-day evolution of traffic flows. The path flows are assumed to follow an ‘excess travel cost dynamics’ and evolve from disequilibrium states to the equilibrium day by day. This implies that the observed link flow pattern during the trial-and-error procedure is in disequilibrium. By making certain assumptions on the flow evolution dynamics, we prove that the trial-and-error procedure is capable of learning the system optimum link tolls without requiring explicit knowledge of the demand functions and flow evolution mechanism. A methodology is developed for updating the toll charges and choosing the inter-trial periods to ensure convergence of the iterative approach towards the system optimum. Numerical examples are given in support of the theoretical findings.