基于TETRA终端的互联互通在城市轨道交通中的应用

TETRA已经成为现代城市轨道交通无线通信的首选系统。为了满足不同线路之间车载台和手持终端的漫游需求,提出了一种通过二次开发扫描终端建立有效通信的设计方案,实现了不同TETRA集群无线通信系统之间的互联互通问题。     

基于DI-720EN的多路温度数据采集系统

介绍了一种便携式多通道、高精度温度检测数据采集系统。系统采用PT1000铂电阻作温度传感器,DI-720EN作为便携式数据采集器,上位PC机采用笔记本电脑。本系统具有精度高、速度快,扩展性好等特点。     

便携式手动钢轨钻孔装置的研制与应用

传统钢轨钻孔作业机具尺寸大,占用劳力多,费时费力.通过分析钢轨打孔工作原理,研制了便携式手动钢轨钻孔装置,具有结构简单,体积小巧,便于携带的特点.介绍了该装置的结构、工作原理、创新特点和相关参数等.     

便携式网管在传输设备安装调试及故障处理中的应用

针对传输设备的调试及故障处理,以京九铁路电气化改造工程通信施工中的操作为例,结合便携式网管的使用介绍了一些常用的技巧与方法。     

钢轨探伤检测小车设计

针对铁路钢轨超声探伤问题,介绍钢轨探伤检测小车的设计方案,包括其工作原理、组成结构、硬件设计、软件设计、相关试验及试验结果。钢轨探伤检测小车采用直接接触脉冲反射法,在现场测试中取得良好结果,工作稳定,伤损检出率高。     

地铁屏蔽门便携测试仪实现方案初探

通过分析西门子屏蔽门控制子系统工作原理和控制信号波形,探讨采用TMS320DM6437数字信号处理器和高速ADC/DAC实现地铁屏蔽门便携测试仪的实现方案。     

The impact of road grade on carbon dioxide (CO2) emission of a passenger vehicle in real-world driving

To accurately estimate real-world vehicle emission at 1 Hz the road grade for each second of data must be quantified. Failure to incorporate road grade can result in over or underestimation of a vehicle’s power output and hence cause inaccuracy in the instantaneous emission estimate. This study proposes a simple LiDAR (Light Detection And Ranging) – GIS (Geographic Information System) road grade estimation methodology, using GIS software to interpolate the elevation for each second of data from a Digital Terrain Map (DTM). On-road carbon dioxide (CO₂) emissions from a passenger car were recorded by Portable Emission Measurement System (PEMS) over 48 test laps through an urban-traffic network. The test lap was divided into 8 sections for micro-scale analysis. The PHEM instantaneous emission model (Hausberger, 2003) was employed to estimate the total CO₂ emission through each lap and section. The addition of the LiDAR-GIS road grade to the PHEM modelling improved the accuracy of the CO₂ emission predictions. The average PHEM estimate (with road grade) of the PEMS measured section total CO₂ emission (n = 288) was 93%, with 90% of the PHEM estimates between 80% and 110% of the PEMS recorded value. The research suggests that instantaneous emission modelling with LiDAR-GIS calculated road grade is a viable method for generating accurate real-world micro-scale CO₂ emission estimates. The sensitivity of the CO₂ emission predictions to road grade was also tested by lessening and exaggerating the gradient profiles, and demonstrates that assuming a flat profile could cause considerable error in real-world CO₂ emission estimation.     

船用LNG移动燃料罐箱的安全放散系统研究设计

本文简要介绍了上海航盛船舶设计有限公司自主研发设计的新加坡首艘LNG/柴油双燃料动力港作拖轮的LNG移动燃料罐箱系统的设计背景及其主要性能参数,主要叙述了该项目LNG燃料移动燃料储罐的装载极限及其安全放散系统的关键技术的研究设计。     

基于PWS-1409的便携式测控系统

本文介绍了基于PWS-1409的便携式测控系统的原理、特点、硬件构成和软件设计。该系统采用研华公司的PCI-1710、PCLD-885板和ActiveDAQ软件构成。试验证明该系统具有较高的通用性、灵活性和稳定性。     

Analysis of fuel consumption and pollutant emissions of regulated and alternative driving cycles based on real-world measurements

Discrepancies between real-world use of vehicles and certification cycles are a known issue. This paper presents an analysis of vehicle fuel consumption and pollutant emissions of the European certification cycle (NEDC) and the proposed worldwide harmonized light vehicles test procedure (WLTP) Class 3 cycle using data collected on-road. Sixteen light duty vehicles equipped with different propulsion technologies (spark-ignition engine, compression-ignition engine, parallel hybrid and full hybrid) were monitored using a portable emission measurement system under real-world driving conditions. The on-road data obtained, combined with the Vehicle Specific Power (VSP) methodology, was used to recreate the dynamic conditions of the NEDC and WLTP Class 3 cycle. Individual vehicle certification values of fuel consumption, CO₂, HC and NO_x emissions were compared with test cycle estimates based on road measurements. The fuel consumption calculated from on-road data is, on average, 23.9% and 16.3% higher than certification values for the recreated NEDC and WLTP Class 3 cycle, respectively. Estimated HC emissions are lower in gasoline and hybrid vehicles than certification values. Diesel vehicles present higher estimated NO_x emissions compared to current certification values (322% and 326% higher for NO_x and 244% and 247% higher for HC + NO_x for NEDC and WLTP Class 3 cycle, respectively).