磁电式速度传感器设计与应用

分析磁电式速度传感器早期产品故障现象,对传感器进行了改进设计,得出设计要点,阐述了传感器应用须注意的问题。改进设计已成功应用于为GE公司开发的3款磁电式速度传感器上。     

液态硫磺运输船热煤油加热系统及罐体保温研究

针对液态硫磺的物理特性及运输条件,使用热煤油加热系统对液态硫磺进行保温、加热.对液态硫磺船加热系统中的硫磺罐保温层、热煤油加热系统做了分析,提出硫磺热煤油加热系统的可行性设计方法、经济保温层的计算公式,阐述了硫磺罐加热盘管设计应注意的问题.     

液压油过滤技术在工程机械中的应用

针对工程机械液压油污染等级问题,探讨了液压油过滤技术根据液压油过滤工艺设计了一种具有三级滤芯的过滤机和管路组成的过滤系统,使用快换接头将过滤系统与工程机械液压油箱连接,能满足大批量工程机械液压油过滤作业的需要。用检测仪检测证明:该过滤系统过滤后的液压油污染等级优于行业要求标准     

The cost of not holding back the sea: Toward a national sample of economic vulnerability

Abstract

National and regional estimates of U.S. economic vulnerability to greenhouse‐induced sea‐level rise are produced from a sample of 30 discrete regions scattered evenly along the coastline. Scenarios that envision 50 cm, 100 cm, and 200 cm of greenhouse‐induced sea‐level rise are considered. They can be expected to place $39.2, $65.6, and $133.3 billion, respectively, (1989 dollars) of existing development in jeopardy through 2050, and $133.3, $308.7, and $909.4 billion through 2100. Sampling error and consideration of the uncertainty with which we currently view future greenhouse‐induced sea‐level rise places the 25th and 75th percentile values of expected cumulative vulnerability at $38.5 and $76.7 billion through 2050 and $132.6 and $362.4 billion through 2100. Not surprisingly, the southeast displays the largest potential vulnerability, with the northeast ranking second above both the Gulf coast and the west coast.     

氮氧传感器安装位置试验分析

为了分析氮氧传感器安装于消声器载体的不同位置对氮氧测量值的影响,分别将氮氧传感器安装于消声器上选择的不同位置上,当发动机运行在相同的工况下时,通过CANalyzer记录氮氧传感器测量数据,并对这些数据进行对比分析,从而选择最佳的传感器安装位置。     

基于小波变换的传感器故障检测技术研究

介绍了小波变换的基本理论及小波技术用于传感器故障检测的基本原理，给出了传感器故障检测方法，仿真实例证明了这一技术的有效性。     

RBF神经网络在传感器故障诊断中的应用研究

提出一种基于RBF神经网络的传感器在线故障诊断方法,用某气囊隔振系统隔振装置中大量的传感器数据进行了仿真实验,验证了方法的可行性.通过对每个传感器建立单独的神经网络预测模型,实现多传感器的故障诊断.     

面向高速铁路的CTCS+ATO列控系统研究

为提高高速铁路运输效率和自动化程度,根据珠三角城际铁路CTCS2+ATO列控系统的运用经验,提出高速铁路引入自动驾驶(ATO)的方案。方案采用CTCS+ATO系统结构,根据系统配置分为CTCS+ATO-PFC(Partial Function Configuration)和CTCS+ATO-FFC(Full Function Configuration)两个等级。分别对每个等级的系统功能、地面和车载设备配置进行定义,并提出系统分级实施方案。CTCS+ATO列控系统方案综合考虑我国列控系统的现状和发展方向,为我国高速铁路引入自动驾驶提供参考依据。     

滑坡监测无线传感器网络基于事件的信道分配方案

在高速铁路沿线的山体斜坡上部署无线传感器网络,用于监测山体斜坡变化情况。综合考虑传感器节点能量有限性和对采集信息的实时性需求,提出一个基于事件的信道分配方案用于滑坡监测信息的传输。以是否有列车经过山体斜坡区域作为事件,当无列车经过时,为节点分配活跃周期和睡眠周期,采用TDMA的方式唤醒节点并分配一个可用信道进行数据传输,从而在保证数据传输的前提下节省节点能量,延长网络寿命;当有列车即将经过时,节点完全进入活跃周期,采用多个信道并行传输的方式传输数据,减少传输过程中由于信息碰撞造成的信息丢失和重传,从而降低传输时延,提高信息传输的实时性。最后,通过仿真实验分析系统性能,证明所提方案的有效性。     

Evaluation of detection sensitivity and count performance of advanced vehicle detection technologies at a signalized intersection

This article evaluates the stop-bar detection and count performance of three advanced vehicle detection sensors under various environmental conditions at a signalized intersection. Continuing advancements to vehicle detection technologies and improvements to their detection capabilities to overcome issues from impacting conditions necessitates testing the performance of new and upgraded sensor products to evaluate their performance and identify the most suitable products for various climates and weather conditions. The three evaluated sensors were Autoscope Encore video, Iteris Vantage Edge 2 video, and Wavetronix SmartSensor Matrix microwave sensors. The three sensors performed with high detection sensitivity during ideal environmental conditions with up to 99.9% detection accuracy levels and are suitable for traffic monitoring centers that rely on remote access to the monitored sites and the collected data. However, they were affected by some extreme adverse weather conditions, mainly daytime and nighttime snow, daytime fog, dawn lighting, and strong winds (for high mounted devices). The selection of a sensor product will depend on the type of application and the priority given to the type of traffic data being collected. Overall, the Iteris video sensor performed with the highest detection sensitivity levels, with the Wavetronix Matrix microwave sensor performing similarly under most conditions (14 of 19 evaluated conditions). Autoscope video provided the highest count accuracies and also provides a much broader data collection capability. The results of this study will help transportation agencies in selecting suitable vehicle detection sensor technologies for future installations within their jurisdiction and improved data collection.