船载直升机着船预报系统及评估方法

介绍船载直升机着船预报系统的硬件组成和几种常用的预报方法,提出一种基于微成分分析的新的预报方法。最后,对综合考虑横摇和纵摇2种运动的着船预报效果进行评估。     

结构可靠性优化设计的遗传算法

本文针对结构可靠性优化设计问题的特点与计算上的难点，提出遗传算法，文中比较详细地比较了遗传算法的理论基础，遗传算子及工作过程，并对参数选择及其对收敛的影响作了探讨，最后以两个可靠性优化问题作了算例，验证了遗传算法解决此类问题的有效性。     

深圳地铁单程票流失算法研究

根据深圳地铁单程票流通特点,将运营中的单程票流失划分成两大类,并依据其在流通中的业务类型,通过卡信息记录集来确定流失种类。应用数据库知识和数据挖掘技术,提出这两类单程票流失的算法。     

考虑支路路段双向车流相互影响的单向交通组织优化

考虑支路路段双向车流相互影响的因素,从道路负荷与公平性的角度出发,优化单向交通组织方案.建立一主多从的双层规划模型,上层规划是多目标规划,以单行交通组织方案为决策,以路段饱和度超限量最小化降低道路负荷、以车辆绕行系数最小化提高公平性.下层规划是考虑支路路段双向车流相互影响的均衡交通分配(每个点对之间的最短路各自由1个下层规划确定,但所有下层规划确定的最短路可一次性求解).双层规划可用模拟退火算法求解,求解效果明显优于支路路段通行能力等量划分为双向分道行驶的传统优化方法.     

CABOSFV算法中集合稀疏差异度阈值确定方法

在实际应用中,CABOSFV算法初始参数———集合稀疏差异度阈值b的确定是否合理,对聚类结果是否有效起决定作用。本文针对如何科学方便地确定集合稀疏差异度阈值b进行了深入研究,给出了集合稀疏差异度阈值确定方法,并通过该方法进行了实例计算。计算结果表明,由于该方法能够确定聚类结果中类的对象组成最小数量,聚类结果的粗糙与精细程度可以人为控制,对聚类结果的准确及高效提供了很好的保证,能够为CABOSFV算法进行聚类提供合理的阈值。     

动力锂电池与电力推进船舶发展分析

文章通过对主要类型锂离子电池技术指标和特性进行梳理,研究了锂离子电池的热管理技术、安全性、火灾消防技术等应用重点环节的技术要点,分析了锂电池在船舶动力系统中的作用及全电池动力系统和混合动力系统的技术特点,为应用锂电池的新能源船舶研发提供参考。最后介绍了目前国内外应用储能电池动力船舶的多个典型案例,简要阐述了各个案例中的船舶核心参数和主要特点,总结了当前电池动力船舶的主要应用船型、锂电池类型、应用市场及政策、规范现状,认为锂电池动力船舶的发展前景光明,但在相关政策和船舶规范研究方面尚需进一步完善。     

Electric vehicle charging station locations: Elastic demand,station congestion,and network equilibrium

Battery-only electric vehicles (BEVs) generally offer better air quality through lowered emissions, along with energy savings and security. The issue of long-duration battery charging makes charging-station placement and design key for BEV adoption rates. This work uses genetic algorithms to identify profit-maximizing station placement and design details, with applications that reflect the costs of installing, operating, and maintaining service equipment, including land acquisition. Fast electric vehicle charging stations (EVCSs) are placed across a congested city's network subject to stochastic demand for charging under a user-equilibrium traffic assignment. BEV users’ station choices consider endogenously determined travel times and on-site charging queues. The model allows for congested-travel and congested-station feedback into travelers’ route choices under elastic demand and BEV owners’ station choices, as well as charging price elasticity for BEV charging users.Boston-network results suggest that EVCSs should locate mostly along major highways, which may be a common finding for other metro settings. If 10% of current EV owners seek to charge en route, a user fee of $6 for a 30-min charging session is not enough for station profitability under a 5-year time horizon in this region. However, $10 per BEV charging delivers a 5-year profit of $0.82 million, and 11 cords across 3 stations are enough to accommodate a near-term charging demand in this Boston-area application. Shorter charging sessions, higher fees, and/or allowing for more cords per site also increase profits generally, everything else constant. Power-grid and station upgrades should keep pace with demand, to maximize profits over time, and avoid on-site congestion.     

基于AIGA-WLSSVM的埋地管道腐蚀速率预测方法

为了降低埋地管道腐蚀影响因素之间的复杂相关性,提高腐蚀预测精度,文中提出一种基于自适应免疫遗传算法-加权最小二乘支持向量机(AIGA-WLSSVM)的埋地管道腐蚀速率预测建模方法,并采用AIGA优化模型参数,进一步提高模型的学习能力和稳定性。最后通过实例分析验证了AIGA-WLSSVM建模方法在埋地管道腐蚀速率预测中的可行性和有效性,为埋地管道的检修与更换提供参考。