Driving cycle prediction model based on bus route features

Bus fuel economy is deeply influenced by the driving cycles, which vary for different route conditions. Buses optimized for a standard driving cycle are not necessarily suitable for actual driving conditions, and, therefore, it is critical to predict the driving cycles based on the route conditions. To conveniently predict representative driving cycles of special bus routes, this paper proposed a prediction model based on bus route features, which supports bus optimization. The relations between 27 inter-station characteristics and bus fuel economy were analyzed. According to the analysis, five inter-station route characteristics were abstracted to represent the bus route features, and four inter-station driving characteristics were abstracted to represent the driving cycle features between bus stations. Inter-station driving characteristic equations were established based on the multiple linear regression, reflecting the linear relationships between the five inter-station route characteristics and the four inter-station driving characteristics. Using kinematic segment classification, a basic driving cycle database was established, including 4704 different transmission matrices. Based on the inter-station driving characteristic equations and the basic driving cycle database, the driving cycle prediction model was developed, generating drive cycles by the iterative Markov chain for the assigned bus lines. The model was finally validated by more than 2 years of acquired data. The experimental results show that the predicted driving cycle is consistent with the historical average velocity profile, and the prediction similarity is 78.69%. The proposed model can be an effective way for the driving cycle prediction of bus routes.     

Studies on emergency evacuation management for maritime transportation

Marine transportation is a vital component of the world’s economy and transportation network. The number of people using passenger ships around the globe is increasing worldwide. Similar to other transportation systems, passenger safety is critical in maritime shipment. As emergency evacuation processes for ships are highly different from and more complicated than those for buildings and other vehicles, many researchers have published a vast range of documents related to this peculiar research area. However, there is a tangible lack of sufficient literature review studies that investigate marine emergency evacuation (MEE). That being the case, the potential of marine transportation and the effect of emergency evacuation operation on life safety have inspired the proposal of this study. This paper offers a review of the available literature on MEE modelling, analysis and planning during the period from 1973 to 2017 using a systematic approach. After reviewing relevant academic journals, peer-reviewed conference papers, and technical reports of agencies, relevant literature is analysed. In addition, the literature review is extended by means of proposing a framework methodology which considers different possible conditions and situations during MEE. Finally, insights for ship managers and policymakers are discussed and potential future research directions are identified.     

船舶甲板智能抛丸机器人设计

为解决在船舶外场涂装阶段除锈和拉毛施工效率低、质量不稳定、环境污染严重等问题,设计一款用于船舶甲板的智能抛丸机器人。简介该型机器人系统组成,阐述其抛丸分系统、除尘分系统和越障辅助机构的硬件设计及其软件设计,并设计手动遥控和自主导引操作方式。实船测试结果表明,该型机器人可满足船舶甲板除锈清理的工作要求。     

25t轴重荷载作用下隧底脱空区域受力特性分析

为了研究在役铁路隧道在通车之后隧底脱空病害的问题,采用有限元理论,建立隧道脱空区域在围岩压力与25 t轴重列车动载作用下的数值计算模型,主要研究80 cm与40 cm脱空宽度分别距隧道中心线0,80 cm与160 cm时脱空区域的受力特性。结果表明:在围岩压力下,脱空区域中线上壁和外侧顶角混凝土中产生拉应力及内侧顶角中产生压应力,其中压应力对脱空的宽度更为敏感;同时施加列车动载作用时,脱空区域上壁出现了竖向动应力与横向拉应力,得到了脱空区域力学指标的最大响应值及其出现的具体位置,宽度的增加对脱空区上壁横向拉应力更为显著,上壁横向拉应力增幅超过200%,竖向动应力增幅达50%。因此,隧底脱空区周围应力分布复杂,拉应力与压应力在脱空区域同时存在,应力突变严重,对脱空现象应及时组织处理。     

面向生产管理信息化的涂装智能设计系统

研究分析涂装设计工艺流程、涂装生产管理流程及涂装机器人工艺参数，整理分析涂装工艺数据、生产管理信息和涂装机器人的工艺特征，对这些数据进行整理归纳，理清他们之间的逻辑关系，形成数据接口，通过数据库系统完成涂装规范化设计和生产管理以及涂装机器人的对接。     

集美大学教学实习船“育德”轮总体设计

"育德"轮是上海船舶研究设计院为集美大学设计的用于航海专业教学实习、科学研究兼顾货物运输的教学实习船。该船是目前世界吨位最大的教学实习船,配备了功能齐全的教学设施、先进的科研设备以及舒适的学习生活环境。该船还具有安全性高、绿色环保和经济性优异等特点。     

两种响应型船舶运动模型的对比及适用性分析

船舶运动模型作为自动舵性能检测平台的基础与核心，对于自动舵的研发、调试及船舶运动控制算法的设计都有非常重要的意义。现有的航迹航向自动舵检测平台普遍使用简化的一阶线性KT方程。由于忽略船舶回转运动中的纵向速度变化以及首摇角与横向速度之间的耦合，在实际使用中具有一定的局限性。本文引用国际电工委员会制定的航迹自动舵标准（ IEC62065）中提出的船舶运动模型，并对其进行仿真，将仿真结果与一阶线性KT方程的仿真结果进行对比分析，讨论一阶线性KT方程的适用范围。同时介绍改进的一阶非线性KT方程的形式并进行仿真试验，结果表明其与 IEC62065中非线性模型相似度较好，且减少了计算量。     

卡西姆港燃煤应急电站卸煤码头港池水域平面布置优化

针对复杂水域条件下大型散货码头的水域平面布置,基于卡西姆燃煤应急电站码头工程项目,根据对周边已建工程、红树林以及水动力等主要影响因素的深入分析提出初步平面方案,并通过船舶操纵模拟试验对平面布置及相关尺度进行优化,合理确定本工程平面布置方案。结果表明,本工程的建设对周边影响较小,水域尺度能够满足船舶通航及靠离泊要求,水域平面布置合理。     

LNG码头应急通道与应急锚地研究

本文针对LNG应急逃离情况以及国内LNG应急锚地使用现状,总结分析国内、外LNG应急锚地布置情况;结合江苏滨海LNG码头通航条件,提出LNG应急通道及应急锚地三种布置方案,通过操船模拟试验论证比选并得出结论,供类似工程参考。     

船舶电缆自动化敷设系统设计与实现

在船舶电缆敷设过程中,很难借助有效的工装提高劳动效率,低空间的高强度作业存在严重的安全风险。以船舶电缆自动化敷设系统为分析对象,介绍系统组成和系统接口,采用比例积分微分(Proportion Integration Differentiation,PID)算法计算系统行程,通过PROFINET总线完成数据传输,以人机界面(Human Machine Interface,HMI)实现系统性能要求。在风电安装平台上的实际运用表明,该系统可解决造船行业劳动力成本高和安全风险大的问题。