海缆巡线管理系统的设计与实现

为提高海缆的通信保障能力,采用全球定位系统（GPS）和地理信息系统（GIS）技术,设计海缆巡线管理系统。该系统分为数据采集、数据传送和数据中心管理三个组成部分,对巡线员和数据管理员的工作流程进行了具体描述,并分析了系统实现的关键技术;对数据传送的前端硬件系统组成和实现原理进行了详细设计和分析,实现了规范化管理和科学化监督的预期目标。     

内覆防水吸声层的海水消声器声学性能计算

对内部进行了防水吸声处理的海水消声器进行了声学计算,提出了分析此类问题的数值仿真方法：首先运用分层媒质理论对含空腔防水吸声层的声学性能进行计算,利用ANSYS建立海水消声器的三维有限元模型,导入SYSNOISE软件中并将防水吸声层的吸声系数及表面声阻抗作为边界阻抗计算消声器内部声场的声压分布以及传递损失。对某内覆防水吸声层的海水消声器的声学特性进行了数值计算和分析,研究结果对提高含防水吸声结构海水消声器的降噪效果具有重要意义。     

基于MC9S12DP256微控制器的机械式自动变速器(AMT)控制系统的设计

AMT(机械式自动变速器)是在机械式变速器的基础上增加电控系统而实现自动变速的,本文对其工作原理及结构组成进行了简要介绍,并且实现了以MC9S12DP256微控制器为核心的电子控制系统的硬件设计,通过MC9S12DP256来实现对AMT系统的控制。同时系统中采用Freescale公司的高端驱动芯片MC33289来实现对电磁阀的驱动,系统结合自身CAN模块,选用Ph ilips公司的PCA82C250,设计了CAN的接口电路。     

自动变速器异响的诊断与分析

自动变速器的异响随发动机负荷的变化、档位的不同而发生变化,并且很难用仪器诊断。对自动变速器行驶工况进行分类,通过对异响现象和原因进行分析,给出自动变速器异响的诊断方法和解决措施。     

自动变速器控制技术研究

自动变速器的控制技术影响到变速器使用性能,介绍现代控制理论在自动变速器控制中的应用,如换档点控制,变矩器闭锁离合器控制,换档质量控制,适应性控制,模糊控制,容错控制等理论。     

自动变速器齿轮系统传动比计算与分析

自动变速器齿轮系统结构复杂,形式多样,它和控制阀体、液力变矩器被列为自动变速器的三大主要部件与认知难点。为了搞清它的结构和动力传递,结合典型结构简图,分析自动变速器3种类型齿轮系统的结构特点和动力路线,提出相应齿轮系统的传动比计算方法。     

天然气输送用双抗型钢管的焊接工艺试验研究

为了研究影响双抗型钢管的抗氢诱导裂纹和抗硫化物应力腐蚀开裂的产生因素,对某双抗型钢管采用双V型坡口形式,通过不同线能量下手工电弧焊工艺施焊后,对焊接接头的力学性能、焊接裂纹性能、最高硬度、金相组织进行试验分析.采用美国腐蚀工程师协会的试验方法进行试验,发现钢管焊缝试样的硫化氢应力腐蚀裂纹大多沿着粒状贝氏体晶界和焊缝组织...     

xPON技术在铁路视频监控系统的应用前景简

xPON作为新一代光纤接入技术,在抗干扰性、带宽特性、接入距离、维护管理等方面均具有巨大优势,将成为一种主流宽带接入技术,并在铁路视频监控系统中有很广阔的应用前景.     

基于USB接口的电力机车能耗记录与分析系统

以C8051F单片机作为中央处理器,采集电参数计量模块和TAX2型机车安全综合监测装置的信息,生成并存储电量消耗记录;通过USB盘转储数据到地面进行处理和分析。系统整体设计具有模块化、准确可靠的特点,对电力机车节能降耗措施提供合理的依据。     

Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas

In today’s world of volatile fuel prices and climate concerns, there is little study on the relationship between vehicle ownership patterns and attitudes toward vehicle cost (including fuel prices and feebates) and vehicle technologies. This work provides new data on ownership decisions and owner preferences under various scenarios, coupled with calibrated models to microsimulate Austin’s personal-fleet evolution.Opinion survey results suggest that most Austinites (63%, population-corrected share) support a feebate policy to favor more fuel efficient vehicles. Top purchase criteria are price, type/class, and fuel economy. Most (56%) respondents also indicated that they would consider purchasing a Plug-in Hybrid Electric Vehicle (PHEV) if it were to cost $6000 more than its conventional, gasoline-powered counterpart. And many respond strongly to signals on the external (health and climate) costs of a vehicle’s emissions, more strongly than they respond to information on fuel cost savings.Twenty five-year simulations of Austin’s household vehicle fleet suggest that, under all scenarios modeled, Austin’s vehicle usage levels (measured in total vehicle miles traveled or VMT) are predicted to increase overall, along with average vehicle ownership levels (both per household and per capita). Under a feebate, HEVs, PHEVs and Smart Cars are estimated to represent 25% of the fleet’s VMT by simulation year 25; this scenario is predicted to raise total regional VMT slightly (just 2.32%, by simulation year 25), relative to the trend scenario, while reducing CO₂ emissions only slightly (by 5.62%, relative to trend). Doubling the trend-case gas price to $5/gallon is simulated to reduce the year-25 vehicle use levels by 24% and CO₂ emissions by 30% (relative to trend).Two- and three-vehicle households are simulated to be the highest adopters of HEVs and PHEVs across all scenarios. The combined share of vans, pickup trucks, sport utility vehicles (SUVs), and cross-over utility vehicles (CUVs) is lowest under the feebate scenario, at 35% (versus 47% in Austin’s current household fleet). Feebate-policy receipts are forecasted to exceed rebates in each simulation year.In the longer term, gas price dynamics, tax incentives, feebates and purchase prices along with new technologies, government-industry partnerships, and more accurate information on range and recharging times (which increase customer confidence in EV technologies) should have added effects on energy dependence and greenhouse gas emissions.