船舶舱群配载优化算法研究

为了解决现有船舶舱群配载优化算法翻箱次数多、装卸效率低的难题,提出船舶舱群配载优化算法研究。根据船舶运输相关规定对舱群配载参数进行选择,以此为基础构建船舶舱群配载优化模型,以构建的船舶舱群配载优化模型为工具,通过遗传算法得到舱群配载方案并对其进行编码,依据编码结果采用贪婪算法对舱群配载最优方案进行选择,从而实现了船舶舱群配载的优化。通过仿真对比实验得到,与现有的船舶舱群配载优化算法相比较,提出的船舶舱群配载优化算法极大地降低了翻箱次数,提高了装卸效率,充分说明提出的船舶舱群配载优化算法具备更好的性能。     

驳船自适应舱群配载中的自适应遗传算法研究

平地造船技术得到飞速的发展,相应的下水技术也在快速发展,但快速精准的驳船配载技术是其中的难题。因此本文开展一系列的舱群配载研究。首先获取驳船配载计算模型,然后利用遗传算法对此模型进行求解,最后设定遗传算法中的参数值,利用其进行模型求解,得到最优的驳船配载方案。在以后的研究过程中,可将编码的长度加长,以此来提高系统的精确度。     

基于遗传算法的散货船配载软件的开发

针对当前市场上的配载软件功能不够完善以及准确性不够精确,基于遗传算法研究散货船的配载优化问题。首先只对具体研究的船舶确定其编码方案,然后基于遗传算法的配载系统对其约束条件进行处理,最后完成软件开发。经过遗传算法优化后的实船配载方案表现更好,可以确保船舶的稳性和强度满足要求,并且能够提高运营效率从而降低运输成本和增强市场竞争力。     

基于内点法的驳船接载配载方案优化模型

根据驳船压载水舱的几何特点,提出了基于线性规划理论的驳船接载配载方案优化模型。该模型以所有调节水量绝对值之和为目标函数,以各压载水舱调节水量为设计变量,以力及力矩平衡为约束条件。针对该模型的特点,采用内点法求解。对一条新建散货船整体滑移上驳作业过程中压载舱排/注水方案进行了优化计算,结果表明:算法具有很好的收敛性,有效性和快速性,能适应驳船接载产品过程中的实时配载要求。     

基于改进NSGA-Ⅲ的内河集装箱船舶配载多目标优化

内河集装箱运输差异化特征导致船方配载决策时考虑多目标优化，为满足船舶运输经济性和适航性需求，以优化船舶堆栈占用数量、阻塞箱数量、稳性高度、横倾角值及纵倾值为目标，构建内河集装箱船舶配载多目标优化模型。为实现多目标优化问题有效求解，采用灰熵并行分析法改进第三代非支配遗传算法(Non-dominated Sorting Genetic Algorithm-Ⅲ,NSGA-Ⅲ),将灰熵并行关联度作为适应度值引导算法进行精英选择。结果表明：改进后算法在求解性能表现上优于采用一般选择策略的算法，对算例参数设置具有较好鲁棒性，可为船方实际制定内河集装箱船舶配载计划提供一定决策支持。     

12000t举力下水驳压载系统设计介绍

主要介绍用于船舶或海洋工程构筑物平地建造后下水的12000t举力半潜驳船压载系统的设计及其特点,包括船舶概况、压载水舱的布置、飘浮状态进行平移装船作业的基本条件、在特定的装船作业条件下如何使船舶保持浮态和静力平衡的分析、压载水舱配载计算、压载泵和管路的设计、压载水舱透气系统的设置以及压载水舱配载调载的操作要求等。     

全回转起重船作业过程稳性仿真

对船体、起重机分别进行建模,实现了在一定配载与作业半径条件下,起重机吊重全回转过程的船舶实时浮态与稳性的计算及显示,达到了作业前预配载,快速找到最佳配载方案;作业中实时监测船舶作业浮态与稳性变化,保证作业的安全可靠的两大目标,具有较强的工程应用价值。     

集装箱船舶配载优化方案

集装箱船舶配载指集装箱码头作业人员在遵循集装箱配载基本原则和保证集装箱船舶性能的基础上,确定集装箱在船上的装载位置和编制满足积载条件的积载方案的一项计划工作。集装箱船舶配载既要满足船公司对船舶航行安全和装载能力等方面的要求,以达到运输效益最大化,又要符合集装箱码头的生产组织要求,以提升装卸作业效率。     

自动化集装箱码头船舶配载研究

正集装箱船的大型化与码头自动化增加了港口码头的单次装卸作业箱量,而单次装卸作业箱量的增加使得作业任务更加困难,也对自动化集装箱码头的配载时间、效率和效果提出了更高的要求集装箱船的大型化与码头自动化增加了港口码头的单次装卸作业箱量,而单次装卸作业箱量的增加使得作业任务更加困难,也对自动化集装箱码头的配载时间、效率和效果提出了更高的要求。一、考虑箱区作业均衡的船舶配载优化     

集装箱码头配载操作要点研究

集装箱码头配载是集装箱船舶码头作业中非常重要的一个环节,它直接影响到码头作业效率、码头作业安全、集装箱船舶的适航性和船公司的货运质量以及营运效益。在保证集装箱船舶适航、运输安全的前提下,集装箱码头配载应将重点放在码头堆场作业上,保证堆场作业顺畅有序、高效安全,以降低成本,缩短船舶在港时间,实现港方和船方的双赢。本文就集装箱码头配载的操作要点,探讨如何完善集装箱码头配载以实现船、港双赢的目的。     

拖航系统在风浪中操纵运动的模拟计算

本文建立了风浪中拖航系统（包括拖船－拖缆－被拖船）的操纵性运动的数学模型，并以1940kw拖船与8820t甲板驳以及15760t半潜驳为例，分析了航速、缆长、航重量、纵倾和环境条件对拖航系统的运动与拖缆力的影响。     

Review of containership stowage plans for full routes

Containership stowage plans are a pivotal teaches in the system of container transportation. With the increasing containers shipping, planning containership stowage has become more and more complicated. So intelligent stowage planning for containerships is of great significance. An effective stowage plan may improve efficiency of transportation system. First, the progress of containership stowage plan at home and abroad is reviewed, including the latest developments, such as the application of various optimization methods and computer techniques to the problem. Then, the complexities of the problem are discussed and areas where investigations are still needed are pointed out. This will provide a reference for further research on the subject.     

海洋工程调载驳船作业控制系统

介绍了海洋工程调载驳船调载作业控制系统的手动控制、计算机辅助手动控制、压载舱群液位计算机控制、配载计算及联机控制等几个主要方面及组成与功能。通过电气控制系统调整压载水舱水量来控制船舶的纵、横倾及扰度,从而使船舶达到安全的作业要求。     

Multi-agent system with iterative auction mechanism for master bay plan problem in marine logistics

The support of containerization to trade development demands an efficient solution method for the container loading problem in order to reduce shipment and handling time. Hence, the stowage planning of containers is critical to provide speedy delivery of resources from the area of supply to the area of demand. Moreover, information on container terminal activities, structure of ship, and characteristics of containers is distributed among stowage planners. This information imposes constraints, and so the master bay plan problem (MBPP) becomes NP-hard. Therefore, a multi-agent systems (MAS) methodology is designed to effectively communicate the information and solve the MBPP sustainably. In the designed MAS methodology, an information exchange system (IES) is created for stowage planners to bid for ship slots in each experimental iterative combinatorial auction (ICA) market. The winner in the ICA experiments is provided with the ship slots, and the entire bay plan is prepared. Further, the ship-turnaround time is validated using the data obtained from the benchmark problem.     

基于专家系统的船舶配载智能控制策略

利用专家系统控制策略的思想,提出船舶装卸载分轮次序的控制原则、约束条件及实现原理。通过控制船舶的浮态提高船舶压载水的速率及排放能力,保证货物装载过程中压载水与货物操作相适应。利用专家系统的反向推理和正向推理相结合多级控制的控制策略,确定了船舶配载方案及船舶装卸载分轮次序,并提供船舶货物装卸载操作每一步的货物装舱顺序、时间及船舶浮态等性能指标,并通过实船计算验证系统的准确性和可操作性。本方法能迅速、准确地确定船舶配载方案及操作步骤,提高船舶的配载效率,避免船舶配载中的盲目性。     

下水驳船调载阀门开关时间优化算法研究(英文)

利用下水驳船移运船舶产品是一种提高船厂修造船能力的有效方式.在船舶产品移运上驳过程中,要求驳船通过调节自身压载水舱水量使驳船始终保持与码头岸边齐平.在调载过程中,调节水舱阀门打开时间是影响驳船浮态的重要因素.本文通过对调载过程特征分析,并考虑产品上驳速度以及潮位变化等参数影响,建立了适当数学模型,分别采用惩罚函数法、网格法和模拟退火法进行求解.通过实例计算与结果分析比较,确定了合适的优化模型和对应解法,同时也证明了本文所述方法的正确性和实用性.     

基于改进支持向量机(SVM)模型的荆州港吞吐量预测

在编制港口总体规划过程中,港口吞吐量的预测对于提出规划方案至关重要,支持向量机(SVM)方法是港口吞吐量预测较为常见和有效的预测方法。针对港口吞吐量预测影响因素复杂的问题,以荆州港总体规划为实例,研究分析了影响港口吞吐量的主要指标因素。在采用SVM预测方法的基础上,运用遗传算法(GA)、网格搜索算法(GS)对SVM模型主要参数进行优化改进,GA-SVM和GS-SVM模型预测结果都是在支持向量机预测方法的基础上,采用遗传算法和GS方法对支持向量机模型的主要参数进行优化和改进,并用MSE和R2检验了遗传支持向量机和GS支持向量机模型的预测结果。改进后的SVM模型是在当前研究成果基础上提出的一种新港口吞吐量预测方法,可将该模型在港口总体规划工作中进行推广应用。     

Port resources rationalization for better container barge services in Hong Kong

The manufacturing base in the Pearl River Delta of China is moving westwards, where the Pearl River system has extensive coverage. This makes container barge transport a new growth area for Hong Kong Port. Traditionally, Hong Kong Port has been the main gateway for containers transported through the Pearl River system, but this advantageous position is under challenge from the adjacent ports in South China, especially from Shenzhen Port, which is keen to take a bigger share of the new growth by improving the access of barges to its port facilities. While services at Shenzhen Port are improving, barge operators have been experiencing high congestion at Hong Kong Port. Improving the quality of barge container services becomes crucial for Hong Kong Port. In this study, we propose and investigate three improvement strategies: to enhance the consolidation of small container flows, to increase the efficiency of berth allocations for barges, and to optimize the overall utilization of port resources in Hong Kong. These strategies can be instrumental for keeping Hong Kong's status as the gateway for the Pearl River system and help maintain its competitiveness as an international shipping hub.     

Model and algorithm for container ship stowage planning based on bin-packing problem

In a general case, container ship serves many different ports on each voyage. A stowage planning for container ship made at one port must take account of the influence on subsequent ports. So the complexity of stowage planning problem increases due to its multi-ports nature. This problem is NP-hard problem. In order to reduce the computational complexity, the problem is decomposed into two sub-problems in this paper. First, container ship stowage problem （CSSP） is regarded as “packing problem”, ship-bays on the board of vessel are regarded as bins, the number of slots at each bay are taken as capacities of bins, and containers with different characteristics （homogeneous containers group） are treated as items packed. At this stage, there are two objective functions, one is to minimize the number of bays packed by containers and the other is to minimize the number of overstows. Secondly, containers assigned to each bays at first stage are allocate to special slot, the objective functions are to minimize the metacentric height, heel and overstows. The taboo search heuristics algorithm are used to solve the subproblem. The main focus of this paper is on the first subproblem. A case certifies the feasibility of the model and algorithm.     

一种船用燃油智能化调驳系统设计

随着船舶自动化程度的提高,大型船舶传统的手动驳运燃油方式已不能满足复杂而庞大的燃油系统的调驳运行。本文针对大型船舶多油舱,船员工作强度大,手动调驳困难的缺点,设计出一套高效、可靠、自动化程度高的燃油智能化调驳系统。采用本系统的大型船舶能够大幅提高船舶燃油系统驳油自动化水平,有效降低船员的工作强度。