包装容器计算机辅助设计系统—PCAD

对包装容器设计方法进行分析研究，综合近年来计算机辅助设计的最新发展技术，命同了一个计算机辅助包容器设计系统。     

Heuristics for solving continuous berth allocation problem considering periodic balancing utilization of cranes

This study investigates a berth allocation problem considering the periodic balancing utilization of quay cranes in container terminals. The proposed model considers that the quay cranes allocated to a work shift should be fully used and other real-world considerations, such as the continuous quay line, the penalties for early arrivals and departure delays. To solve the model, several heuristics are developed: the model for large problems is decomposed into sub-models that are solved by rolling-horizon heuristics; neighborhood search heuristics are used for optimizing a berthing order of vessels; parallel computing is used to improve the algorithmic performance. The method performs well when applied to real-world large-scale instances with promising computation time that is linearly related to the number of vessels.     

聚乙烯高整体容器多年累积剂量的近似计算方法

高整体容器(HIC)是一种经特殊设计制造的具有高强度、高密封性、高化学稳定性和高热稳定性的低、中水平放射性废物处置容器。对于聚乙烯材料制作的高整体容器,其在设计和使用过程中存在一个重要的指标,即辐照稳定性。本文介绍一种高整体容器累积剂量的计算方法,并使用此方法对AP1000核电工程中使用的聚乙烯高整体容器累积剂量进行估算。通过与Micro Shield、MCNP程序计算的结果比较,证明该方法是一种保守的、偏安全的并可用于实践的高整体容器累积剂量计算方法。     

Entwicklung eines Transformationsmodells – Modularisierung schrittweise gedacht

For some years now, the process industry has been meeting the challenges of the markets with modular production and logistics concepts. This article presents this development process in the form of a four-stage transformation model. It is shown that the path towards modular production environments can be taken step by step. The motto is “evolution instead of revolution”. First, an overview of the state of the art of modularized production and logistics systems is given. Based on this, the article describes and classifies the four different stages of modularization.     

高压容器壁外式超声波液位检测仪的研制

介绍了一种用于高压、密封容器内部液位测量的超声波液位仪的工作原理和系统组成，并讨论了多层媒质的声衰减影响，提出了减小测量盲区和校正温度、压力、介质成分影响的措施。该装置的测量探头只需吸附在容器底部的壁外，安装维护十分方便，尤其适合于高压容器的液位测量。     

垃圾收集装置的设计与制造

垃圾收集装置是城镇生活垃圾收集和储运的专用设备。因整套设备全部封闭在地下，一是方便垃圾收集，二是避免储运中的二次污染。该设备设计新颖，操作方便，是环卫设备的理想产品。     

微服务编排在网管支撑系统中的研究与应用

近年来,面向下一代通信网络,未来网管技术架构一直是OSS领域被关注的焦点课题之一。本文按照云原生、集中化、平台化、开源化的设计原则,提出了一套未来网管基础技术框架,设计并开发了微服务管控平台,统一作为上层网管应用的PaaS平台支撑层。同时通过微服务化改造和容器编排,在已建设的网管支撑系统中加以验证,实现了业务需求的敏捷快速支撑,取得了良好的应用效果。     

集装箱式高压变频器系统在磨机上的应用

为实现磨机的平稳启动及调速,在电力驱动系统中增加了高压变频器驱动。并通过一台变频器拖动两台磨机的方案,实现了多机软启动。为了减少现场工作量,配置电气设备集装箱,将变频器及高压电控系统集成一体化设计,作为一个整体提供给客户,大大减少现场施工任务,设备对现场环境适应性更强。     

Yard crane scheduling problem in a container terminal considering risk caused by uncertainty

In a container terminal, the arriving times and handling volumes of the vessels are uncertain. The arriving times of the external trucks and the number of containers which are needed to be brought into or retrieved from a container terminal by external trucks within a period are also uncertain. Yard crane (YC) scheduling is under uncertainty. This paper addresses a YC scheduling problem with uncertainty of the task groups' arriving times and handling volumes. We do not only optimize the efficiency of YC operations, but also optimize the extra loss caused by uncertainty for reducing risk of adjusting schedule as the result of the task groups' arriving times and handling volumes deviating from their plan. A mathematical model is proposed for optimizing the total delay to the estimated ending time of all task groups without uncertainty and the extra loss under all uncertain scenarios. Furthermore, a GA-based framework combined with three-stage algorithm is proposed to solve the problem. Finally, the proposed mathematical model and approach are validated by numerical experiments.     

A case based heuristic for container stacking in seaport terminals

In this paper, we suggest a Case Based heuristic for the online container stacking management system in seaport terminals. The main objectives of the system are to determine the exact position of each import container in the storage area and to control container allocation and react to unexpected events and disturbances in an intelligent, self-organizing and real-time manner. First, we propose learning mechanisms and knowledge models for a better management of knowledge related to disturbances and container environment. This system takes into account different types of containers especially the storage of dangerous containers. For assessment of the suggested system, real data are collected from King Abdul Aziz Dammam seaport terminal (Saudi Arabia). The performance of the developed heuristic is assessed with different scenarios and compared to three other stacking strategies studied in the scientific literature. The obtained results are promising and show that the developed CBR (Case Based Reasoning) based heuristic can be efficient or similar problems, i.e. online container staking.