线性绞车电控系统开发与应用

基于广州打捞局120 000 kN抬浮力打捞工程船配套4 500 kN线性绞车的技术要求,提出线性绞车电控系统设计方案。从线性绞车在打捞工程船中的作业工况、电控系统的通讯架构、线性绞车单台控制及远程联动的自动控制、人机界面操作等方面进行研究,介绍线性绞车电控系统的设计思路,为线性绞车在打捞沉船工作中的正确运用提供了理论支撑和技术保障。     

新能源电力推进对比分析

文章基于全球低碳节能政策,研究并概述了直流微网新能源电力推进系统及其关键技术,对比了以太阳能、蓄电池、氢燃料电池等为主动力的电力推进系统,并分析其性能、综合效率及实际船舶应用,对推进绿色船舶、节能减排等具有重要的实际意义。     

防止电力机车进入无电单元(区)的安全预警方法

针对目前计划内接触网停电时电力机车进入无电单元(区)的问题,提出了基于动态停电作业区域数据对比库语音、屏幕鼠标点击坐标和高清成像分析进行"三元素二阶段"处理对比方法,以减少人员操作失误和损失.机车/车次信息及对应机车属性先由操作人员办理接发列预告(办理闭塞)的语音识别获取,再通过TDCS/CTC终端机非上位机获取并核对...     

考虑电动自行车骑行的非机动车道最大纵坡探讨

现行规范要求非机动车道的最大纵坡不超过3.5%,但要在山地城市、跨江桥梁两岸慢行系统衔接等场景下满足该要求存在工程占地大、造价高、可实施性差等问题,考虑到电动自行车在非机动车出行方式中占比越来越高的实际情况,以《电动自行车安全技术规范》（GB 17761—2018）规定的国标电动自行车为研究对象对骑行过程进行受力分析,提出了可满足电动自行车骑行要求的非机动车道最大纵坡参考值,可供电动车骑行占比高的类似项目参考。     

基于 GIS-BIM 技术的山地城市长大通道选线方案及空间协同论证研究

山地城市长大通道具有地形条件复杂、里程长、控制因素多、工程投资大的特征。在国土空间规划“三区三线”划定落地的背景下,通道选线阶段应提前做好与“三区三线”的协同对接,集约利用土地等资源。针对山地城市长大通道的特征,分析线路设计方法与原则。以重庆中心城区—綦万快速通道工程为例,运用三维GIS技术建立基于大范围地形数据的基础模型,对路线方案进行三维可视化模拟分析,进行山地城市长大通道选线及空间协同论证实例分析。     

城市客车内饰风道设计简述

城市客车内饰风道设计的好坏对车辆的运行性能似乎没有什么影响,往往容易被忽视。风道不仅影响到内饰的美观而且对空调客车内室的保温、减少空调系统的损失,提高运行经济性起到至关重要的作用。这里对城市客车风道的结构设计、材料应用及其隔热措施保温提出了自己的见解,并着重叙述了风道的保温。     

提高客车电气系统可靠性的措施

客车质量的好坏离不开电气系统的可靠性。简要介绍如何提高客车电气系统的可靠性。     

客车侧翻试验及评价方法研究

针对国内某型客车的实车侧翻试验,通过采集、处理试验数据,探讨客车侧翻试验及评价的方法和内容,为其他客车侧翻试验提供经验。     

Economic and ecological optimization of electric bus charging considering variable electricity prices and CO2eq intensities

In many cities, diesel buses are being replaced by electric buses with the aim of reducing local emissions and thus improving air quality. The protection of the environment and the health of the population is the highest priority of our society. For the transport companies that operate these buses, not only ecological issues but also economic issues are of great importance. Due to the high purchase costs of electric buses compared to conventional buses, operators are forced to use electric vehicles in a targeted manner in order to ensure amortization over the service life of the vehicles. A compromise between ecology and economy must be found in order to both protect the environment and ensure economical operation of the buses.In this study, we present a new methodology for optimizing the vehicles’ charging time as a function of the parameters CO_2eq emissions and electricity costs. Based on recorded driving profiles in daily bus operation, the energy demands of conventional and electric buses are calculated for the passenger transportation in the city of Aachen in 2017. Different charging scenarios are defined to analyze the influence of the temporal variability of CO_2eq intensity and electricity price on the environmental impact and economy of the bus. For every individual day of a year, charging periods with the lowest and highest costs and emissions are identified and recommendations for daily bus operation are made. To enable both the ecological and economical operation of the bus, the parameters of electricity price and CO₂ are weighted differently, and several charging periods are proposed, taking into account the priorities previously set. A sensitivity analysis is carried out to evaluate the influence of selected parameters and to derive recommendations for improving the ecological and economic balance of the battery-powered electric vehicle.In all scenarios, the optimization of the charging period results in energy cost savings of a maximum of 13.6% compared to charging at a fixed electricity price. The savings potential of CO_2eq emissions is similar, at 14.9%. From an economic point of view, charging between 2 a.m. and 4 a.m. results in the lowest energy costs on average. The CO_2eq intensity is also low in this period, but midday charging leads to the largest savings in CO_2eq emissions. From a life cycle perspective, the electric bus is not economically competitive with the conventional bus. However, from an ecological point of view, the electric bus saves on average 37.5% CO_2eq emissions over its service life compared to the diesel bus. The reduction potential is maximized if the electric vehicle exclusively consumes electricity from solar and wind power.     

完整街道扫描仪:智慧城市人居环境感知新技术

完整街道扫描仪以连通为目的构建,以移动载具的形式在未来城市的路网中部署、载人运行,借助其上搭载的传感器、车联网功能扩展出对交通流、街道环境、行人进行扫描、记录、分析、影响的能力,成为一种面向未来智慧城市的人居环境感知系统。当完整街道扫描仪成规模部署后,其作用将不仅限制于交通领域,还将深入参与进共享经济、数据安全、城市发展规划,有潜力成为一种新的经济发展模式。本文聚焦从单车智能到人居环境智能的城市管理智能化维度需求演变,从未来交通管理、未来城市管理与数字经济产业支撑三个方向对完整街道扫描仪满足未来智慧城市的需求进行阐述。同时,也总结出了完整街道扫描仪的原型系统概念模型,以及已搭建进行的示范应用。