考虑船位预测不确定性的船舶碰撞危险度计算方法

[目的]船舶碰撞是威胁智能船舶航行安全的主要因素。船舶碰撞危险度计算模型应及时发现船舶航行中潜在的碰撞风险,为智能船舶的自主避让决策提供依据。[方法]首先,根据船舶领域侵入程度与侵入时间等参数,分析基于领域的碰撞危险参数计算模型,将航行场景划分为单船会遇局面和本船与船舶群组的会遇局面,给出一种新的多船会遇情况下的碰撞危险参数计算模型;其次,基于维纳过程对船位预测不确定性进行建模,根据卡方分布获取船位预测不确定性椭圆;最后,给出考虑船位预测不确定性的碰撞危险参数计算方法。[结果]该计算模型能够考虑船位预测不确定性对船舶碰撞危险的影响。[结论]可以进一步保障智能船舶的海上航行安全。     

长江桥区交通管理系统研究

“长江桥区交通管理系统研究”系交通部季托中国航海学会进行的“长江桥通航通力研究”课题的一部分。该文从当前长江航运的实际出发,结合长江航运发展规划及“ＶＴＳ指南”所要求的系统功能,提出长江桥区交通管理系统的设想,为研究船舶过桥通过能力及长江航运提供科学依据。     

浅谈铁路工程外资清理概算的编制方法

为引进国外先进技术和设备,提高我国铁路的技术装备水平,几年来利用外资的工程建设项目不断增多.这不仅有效缓解了建设项目的融资难度,而且缩短了建设工期,降低了运营期成本.在竣工后的清理概算阶段,编制外资清理概算是一项非常繁杂的工作.此文通过对外资概算组成的分析,提出外资清理概算编制的要点.并以工程实例,论述外资清理概算的编制方法和对有关问题的处理及建议,为类似工程提供借鉴.     

陕渝铁水联运通道研究

旨在研究陕渝铁水联运通道的建设必要性及架构方案,从铁水联运格局、能源供应及社会经济发展方面论证通道建设的必要性,预测通道煤炭及外贸物资运量,经方案比选,提出通道架构方案,通过径路比较,得出通道经济供应范围,最后从通道内铁路、港口、长江水道三方面分析得出通道能力能够满足运输需求。     

苏北船闸服务系统到闸概率模型研究

船舶的到闸过程是研究船闸服务系统的基础，单船过闸方式的复杂性则是研究过程中碰到的主要障碍．文中将单船的到闸和过闸结合起来，提出了“组合船队”的概念，简化了船闸服务系统船舶的交通流，使服务系统排队模型应用于船闸系统．船闸有两类顾客，即优先过闸的Ⅰ级船队和不提放的Ⅱ级船队，Ⅱ级船队包括一般船队和组合船队，通过对京航大运河施桥船闸2001年运营资料的统计分析，发现两个等级的顾客的到船过程均为Poisson规律，日到达的总顾客数则服从正态分布．     

基于空间句法的邮轮甲板空间布局设计研究

邮轮游客活动流线与甲板空间布局密切相关，但传统船舶总布置设计并未考虑人员流线的需求。论文从剖析典型邮轮船型及其甲板布局的空间上入手，引入适用的空间句法，通过控制度、整合度和可理解度等空间组构量化参数，来实现邮轮甲板空间的量化分析，运用Depthmap软件对“海洋量子”号邮轮第5层甲板空间进行分析，并对影响游客合理流线设计的总布置改进点进行了实例探讨，结果表明改进后的甲板布局方案改善了游客的活动流线，构建了邮轮甲板空间布局量化分析的新模式。     

Neural network-based fuel consumption estimation for container ships in Korea

ABSTRACT

Due to the outstanding strength of advanced machine-learning techniques, they have become increasingly common in predictive studies in recent years, particularly in predicting ship energy performance. In constructing predictive models, prior studies have mostly employed vessels’ technical parameters to establish machine-learning algorithms. To bridge this research gap and enable wider applications, this paper presents the design of a multilayer perceptron artificial neural network (MLP ANN) as a machine-learning technique to estimate ship fuel consumption. We utilized the real operational data from 100–143 container ships to estimate fuel consumption for five different container ships grouped by size. We compared the performance of two ANN models and two multiple-regression models. Four input parameters (sailing time, speed, cargo weight, and capacity) were included in the first ANN and the first regression model, while the other two models only consider two inputs from physical function. The mean absolute percentage error of the ANN models with four inputs was the smallest and less than those in extended statistical models, demonstrating the MLP’s superiority over the statistical model. The MLP ANN model can thus be applied to confirm the effectiveness of the slow-steaming method for achieving energy efficiency.     

关于国外游船内装设计的启示

本文通过对某旗舰产品Princess 95MY内装设计的分析,阐述了国外游船的内装设计理念、基本设计原则、材质的选用要求,提出了舰艇内装设计与施工的几点建议。     

基于dSPACE的船用异步电机矢量控制研究

为了能够反复便捷地对船用异步电机矢量控制技术进行研究,需要对整个系统进行仿真。而传统的离线仿真技术已不能满足现在系统多样的需求,而本文研究的d SPACE实时仿真技术可以很好的解决这一问题。本文首先研究船用异步电机矢量控制技术,然后针对该控制方案进行基于Simulink的离线仿真,接着搭建了基于d SPACE半实物仿真平台的船用异步电机矢量控制系统,并借助于该系统展开船用异步电机矢量控制实验,验证基于d SPACE进行船用异步电机矢量控制的可行性、实用性与便捷性。     

Thermodynamic,environmental and economic analysis of absorption air conditioning unit for emissions reduction onboard passenger ships

In this paper, the waste heat of exhaust gases and jacket cooling water in marine diesel engines are analyzed to operate the absorption refrigeration unit (ARU). Thermo-economic and environmental analysis of the absorption refrigeration cycle operated with the two heat sources that use lithium bromide as an absorbent is carried out. The analysis is performed using Engineering Equation Solver (EES) software package where the thermodynamic properties of the steam and the LiBr-water mixtures are provided. The used EES code is verified by published experimental data. As a case study, high speed passenger vessel operating in the Red Sea area has been investigated. The results show that a considerable specific economic benefit could be achieved from ARU jacket cooling water operated over that gained from main engine exhaust gases. Environmentally, applying ARU machine during cruise will reduce the annual fuel consumption for the diesel generators by 156 ton with a reduction percentage of 23%. This will reduce the exhaust gas emissions by 6.3% from the applied main engine emissions. In addition, this will result in reducing NO_x, SO_x, and CO₂ emissions with cost-effectiveness of 4.99 $/kg, 13.18 $/kg, and 0.08 $/kg, respectively.