集装箱系固计算综述

针对集装箱船航行过程中集装箱的运输安全,探讨了集装箱系固的计算方法。以德国劳氏规范和中国CCS规范为依据,分析了集装箱的受力及力的传递与分配,重点阐述了集装箱堆重计算的原理。并以堆重计算为基础,介绍了捆扎计算的基本方法。希望对集装箱船的结构设计以及舾装设计有参考作用。     

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.     

改进遗传算法在驳船配载中的应用

驳船是大型海洋结构物下水作业的一种常用运输工具。驳船的配载主要是依据静力学平衡原理和船舶基本知识对船舶浮态的调节。为了在较短时间内完成配载作业,对遗传算法进行了改进,提出种群全部交叉和分布式动态惩罚函数法等改进机制,对驳船配载中的调载水量分布进行优化。计算结果表明,改进遗传算法的配载方案比基本配载方案时间更短、效率更高。运用本改进遗传算法对驳船配载进行方案优化,能够满足工程要求,缩短上驳作业时间。     

船体分段转运平板车载荷装载图的绘制与应用

提出一种用于计算绘制船体分段转运平板运输车载荷装载图的方法.通过分析与计算得出船体分段的支撑距离与平板车的净载荷之间的关系,绘制理想载荷装载图和实际载荷装载图,用来指导平板车的装载运输作业,保证平板车的工作安全.     

集装箱船舶实配过程的遗传算法解决策略

本文基于模糊优选的多目标优化遗传算法和隔离小生境技术的多峰函数优化遗传算法,建立了集箱船舶实配模型。计算机模拟的结构表明,计算结果符合工程要求,具有推广应用价值。     

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。     

原木装载及安全防范

船舶装载原木,被普遍认为具有较大的危险性。本文以实际工作为基础,介绍一些关于装载原木的积载方法,提出有关操作的建议和安全防范的注意事项,以期达到船舶安全营运的目的。     

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.     

船舶载运集装箱危险货物的安全积载

集装箱危险货物在船上的积载隔离不当,将会直接导致船载危险货物事故的发生。文章通过对HJCF轮火灾事故的初步分析,来认识危险货物安全积载的重要性,进而阐述了船舶如何正确进行危险货物积载与隔离,以及与积载安全密切相关的一些问题,以引起有关方面的关注。     

LNG罐式集装箱水运安全性探讨

LNG公路运输成本高,交通事故频发,为此有关专家提出LNG罐式集装箱水路运输的模式。该模式将会使运输成本显著降低,但如何保障运输安全就成为关键问题。该文就LNG罐式集装箱水路运输涉及的各个环节——LNG罐式集装箱、码头装卸和水路运输的安全性要求进行探讨,分析LNG罐式集装箱的积载和隔离方式,并提出一些建议,为中国开展LNG罐式集装箱水路运输业务提供参考。     

Heuristic estimation of container stacking and reshuffling operations under the containership delay factor and mega-ship challenge

This paper addresses a highly researched area, the reshuffling problem in ports, using a new paradigm-modified containership service order in light of credit risk assessment. Container stacking and reshuffling operations can cause ship delays and additional risk. In deep-sea terminals, outbound containers are tightly stacked according to the retrieval sequence. Due to lack of space, terminals stack containers in multiple tiers. This means any delay in the arrival of a ship can impose extra handlings and reshuffling of containers delaying future cargo handling. This paper addresses the reshuffling problem with a concept similar to the credit scoring and rating of creditworthiness used in the banking industry. By utilizing this comparison to the banking credit risk concept, a heuristic estimation model is proposed that illustrates the side effects of unscheduled modifications in containership service order. Further, the mega-ship trend amplifies the reshuffling debate. Probability of delay, reshuffles given delay, and call size at delay are introduced as the three-point risk metrics of the model. Numerical simulations illustrate the functionality to develop terminal stacking strategies as well as emphasize the mega-ship phenomenon and its side effects on terminals (i.e. yard operation deadlock).     

混合蚁群算法求解集装箱箱位分配问题

集装箱船配载过程中的重要环节是合理的箱位分配,它对保证集装箱船装载后的航行性能及其码头装箱效率有重要的影响.随着集装箱船的大型化及待装船箱量的增加,该问题的求解较为困难.结合集装箱船配载中箱位分配的实际操作特点,提出了利用与禁忌算法相结合的混合蚁群算法来求解集装箱的箱位分配问题.仿真模拟试验表明该算法能够在不影响装箱难度的同时,大幅提高集装箱装船后船舶的航行性能.     

MatrixVB组件在集装箱船舶配载系统开发中的应用

针对集装箱船舶配载系统开发过程中数据处理运算量大的要求,从MatrixVB组件和VB的特性出发,提出了运用VB与MatrixVB结合进行数据处理的技术。并以实例进行讨论,结果表明,此方法编程思路简单,是程序开发的很好方法。     

散粮装箱漏斗的研制

对包粮流通、散粮运输和集装箱运输这三种粮食运输方式进行了比较,指出粮食集装箱运输方式具有较大优势。为了解决散粮装箱存在的问题,提出了散粮装箱的专用漏斗。介绍了散粮装箱专用漏斗的技术方案和设计要求。该漏斗使用效果很好。     

Optimal investment priority in container port development

The aim of this paper is to develop realistic and relevant investment planning models for inland container transportation systems. The models may be utilized to identify the most effective investment plan for inland transportation infrastructure development and to evaluate the inland container transportation system. The procedure enables determination of the optimal locations, sizes and time of container port developments as well as the optimal container cargo flows through transportation networks. A heuristic algorithm was developed for the purpose of evaluating alternative investment plans. Dynamic and linear programming methods are applied to each of the two planning problems: the former for the optimum container port capacity development problem and the latter for the optimal allocation of inland container traffic movements. The model has been applied to concrete inland container transportation system problems in Korea.     

Optimal investment priority in container port development

The aim of this paper is to develop realistic and relevant investment planning models for inland container transportation systems. The models may be utilized to identify the most effective investment plan for inland transportation infrastructure development and to evaluate the inland container transportation system. The procedure enables determination of the optimal locations, sizes and time of container port developments as well as the optimal container cargo flows through transportation networks. A heuristic algorithm was developed for the purpose of evaluating alternative investment plans. Dynamic and linear programming methods are applied to each of the two planning problems: the former for the optimum container port capacity development problem and the latter for the optimal allocation of inland container traffic movements. The model has been applied to concrete inland container transportation system problems in Korea.     

A simulation optimization approach for solving the dual-cycling problem in container terminals

Dual cycling is an operation technique whereby quay cranes perform loading and unloading operations simultaneously in the same ship bay. In this article, a mixed-integer programming model for quay crane dual-cycling scheduling is developed. The model considers the stowage plan of outbound containers and the operation sequence of quay cranes. To solve the model, a heuristic method, called bi-level genetic algorithm, is designed. Meanwhile, a simulation optimization method integrating the intelligent decision mechanism of the optimization algorithm and evaluation function of simulation model is proposed. Numerical experiments indicate that dual cycling can reduce the operation time of quay cranes compared to the method of scheduling loading and unloading separately. Moreover, the model and algorithms developed in this article can tackle quay crane dual-cycling problem efficiently.     

基于支持向量机的集装箱船航次配箱量的预测方法

集装箱船航次配箱量预测对集装箱码头管理和集装箱船配载具有重要意义。首先利用支持向量机(SVM)理论建立非线性回归模型,然后分析影响航次配箱量的因素,利用历史数据作为学习预测的样本,用训练好的回归模型对新的数据进行预测。实际计算结果表明:同BP神经网络预测模型相比,该预测模型具有良好的泛化能力及准确的预测结果。     

集装箱港区交通量计算模式探讨及道路系统的适应性分析

针对集装箱港区吞吐量增长给港区公路集疏运系统所带来的压力,研究公路交通量与集装箱公路集疏运量的关系。通过建立集装箱港区公路交通量的计算模式,并借助交通工程学的有关理论分析港口道路集疏运系统的适应性。本计算模式可指导集装箱港区公路集疏运系统的规划设计,保证集装箱港区公路集疏运系统的顺畅,为类似工程提供参考。     

集装箱船配载问题的粒子群算法研究

针对集装箱船配载优化中的Bay位优选问题,提出以倒箱量、重心横向偏移和初稳性高为目标,以箱位与Bay位的一致和Bay位重量为约束条件的数学模型,提出一种多目标离散粒子群算法(MODPSO)求解之,得到该算法优化后的Pareto解集和Pareto解迭代过程中的变化趋势图,为集装箱船配载问题提供多种方案以供备选,从而达到在提高集装箱船装载效率、节约装载成本和时间、使集装箱船获得稳定航行状态等目标间取得更好平衡的目的。