LNG燃料动力船机舱设计研究

以本质安全型机舱、紧急防护型机舱为基础,提出了增强安全型机舱的设计思路,通过增强通风、加强探测与报警、采用全熔透对焊接头等措施降低机舱风险.以某内河LNG燃料动力船为目标,进行了增强安全型机舱的设计,给出了气体燃料管路上安装相应阀件、机舱和阀箱内设置气体探测和机械通风、供气管路的连接采用全熔透对焊接头、发动机进排气总管和曲轴箱上安装防爆安全阀、驱动风机的电动机安装在通风管道外、管道及电器设备接地等设计要求,达到了本质安全型机舱的风险水平.     

切向单双入口旋流器油-水两相分离流场及特性研究

运用雷诺应力模型（RSM）及两相流 MIXTURE 混合模型和 SIMPLEC 算法对切向单、双入口旋流器内的流场进行模拟分析。采用作图法描述了锥段中间截面处的切向速度、径向速度、湍动能及湍能耗散率,使内部复杂旋流流场的分析得以简化。模拟结果表明：单入口旋流器内流场具有不对称性,呈现偏心结构,双入口旋流器流场具有较好的对称性;油-水分离时,切向双入口旋流器中的分离效率为96%,高于单入口旋流器的94%,但同时增大了能量消耗。实验测试结果显示：流量为3 m3/ h 时的实际分离效率为90%,与模拟结果的平均误差为5%,处理流量相同时,采用切向双入口旋流器更能提高分离效率。     

节能减排环保背景下的船用双燃料柴油机发展研究

船用天然气/柴油双燃料柴油机是一种具有良好发展前景的节能减排环保船用动力设备。从船用双燃料柴油机发展的时代背景,发展趋势及天然气燃料的优势,包括国内外船用柴油机发展趋势、船用双燃料柴油机的发展前景、船用天然气燃料的优势;船用双燃料柴油机及其子系统研究;船用双燃料柴油机的国内发展现状等方面,对节能减排环保背景下的船用双燃料柴油机发展进行了研究。     

Comparative evaluation of resource cycle strategies on operating and environmental impact in container terminals

This paper examines the use of single and dual cycle operations for three types of resources, namely, quay cranes, vehicles, and yard cranes to improve the operating efficiency and reduce the energy consumption in a container terminal. Various cycle strategies are proposed and their corresponding estimation models, describing the stowage distributions of outbound and inbound containers on a ship and the storage sharing level of blocks in the yard, are formulated to estimate the total number of cycles for the resources. Statistical analyses are conducted to evaluate and compare the effect of different cycle strategies on the cycle reductions. From the experiment results, it was found that collaboration between resources with the single cycle operation always outperforms that under the dual cycle operation without collaboration.     

直接驱动用开关磁阻式直线电机

提出了一种新型牵引电机－开关磁阻式直线电机（ＬＳＲＭ）对其结构特点，极数和相数选择及电磁牵引力的计算进行了论述；该种电机可望解决目前磁悬浮车用交流直线电机功率因数低，效率低的问题，具有广泛的应用前景。     

舰船综合网络视频监控系统设计

本文论述了舰船综合网络视频监控系统的最优化设计及黑光夜视摄像仪在对抗性夜晚环境下的应用。基于黑光夜视摄像仪的特点和现代舰船环境条件的要求,阐述了黑光夜视摄像设备在现代舰船综合网络视频监控系统中的配置和使用。     

公铁两用架桥机移运架T形梁施工工效及资源消耗研究

预制T梁架设有跨墩龙门吊机、扒杆、铁路架桥机、公铁两用架桥机等多种方式。结合施工现场地形和现有施工设备、桥型等条件,选择最适宜工程项目特点的运架梁方式,对安全、优质、高效建设桥梁至关重要。此文通过分析轮胎式运梁车配合公铁两用架桥机移运架铁路T梁现场测定和实际施工统计资料,对32 m单线T梁移梁、运梁、架梁作业程序和工效及资源消耗进行研究,编制出公铁两用架桥机安拆、调试及移、运、架预制T梁参考定额,对铁路定额的修订和补充以及工程造价人员编制概预算具有一定参考价值。     

LMDT机车无线数据移动终端设备

论述了LMDT机车无线数据移动终端设备的组成、接口及功能业务情况,并且采用了双套通信模块及电源系统硬件冗余设计方案,确保CTCS-3级列控系统安全可靠地工作。     

Improved vehicle classification from dual-loop detectors in congested traffic

Vehicle classification is an important traffic parameter for transportation planning and infrastructure management. Length-based vehicle classification from dual loop detectors is among the lowest cost technologies commonly used for collecting these data. Like many vehicle classification technologies, the dual loop approach works well in free flow traffic. Effective vehicle lengths are measured from the quotient of the detector dwell time and vehicle traversal time between the paired loops. This approach implicitly assumes that vehicle acceleration is negligible, but unfortunately at low speeds this assumption is invalid and length-based classification performance degrades in congestion.To addresses this problem, we seek a solution that relies strictly on the measured effective vehicle length and measured speed. We analytically evaluate the feasible range of true effective vehicle lengths that could underlie a given combination of measured effective vehicle length, measured speed, and unobserved acceleration at a dual loop detector. From this analysis we find that there are small uncertainty zones where the measured length class can differ from the true length class, depending on the unobserved acceleration. In other words, a given combination of measured speed and measured effective vehicle length falling in the uncertainty zones could arise from vehicles with different true length classes. Outside of the uncertainty zones, any error in the measured effective vehicle length due to acceleration will not lead to an error in the measured length class. Thus, by mapping these uncertainty zones, most vehicles can be accurately sorted to a single length class, while the few vehicles that fall within the uncertainty zones are assigned to two or more classes. We find that these uncertainty zones remain small down to about 10 mph and then grow exponentially as speeds drop further.Using empirical data from stop-and-go traffic at a well-tuned loop detector station the best conventional approach does surprisingly well; however, our new approach does even better, reducing the classification error rate due to acceleration by at least a factor of four relative to the best conventional method. Meanwhile, our approach still assigns over 98% of the vehicles to a single class.     

A novel method for identifying inertial parameters of electric vehicles based on the dual H infinity filter

ABSTRACT

Accurate identification of vehicle inertial parameters is essential to the design of vehicle dynamics control systems. In this paper, a novel vehicle inertial parameter identification method based on the dual H infinity filter (DHIF) for electric vehicles (EVs) is proposed. The filter algorithm employs a nonlinear longitudinal vehicle model with three vehicle states. A hierarchical framework is engaged by the DHIF to estimate the vehicle states and inertial parameters concurrently. In order to minimise the disturbance of unknown noise, the vehicle states are estimated by using the linear H infinity filter (LHIF), while the nonlinear H infinity filter (NHIF) utilises the observed states to identify the vehicle inertial parameters. Finally, the proposed estimation method is verified and compared through the dSPACE based hardware-in-the-loop (HIL) simulation experiments. The results indicate that the DHIF-based estimation method is effective to identify the vehicle inertial parameters with high precision, remarkable robustness, and quick convergence.