Docker容器化下的遥感算法程序集成方法

目的 近年来，随着我国遥感技术的快速发展，遥感数据呈现出大数据的特点，遥感数据的时效性增强，针对新环境下遥感算法编程语言众多，程序运行和部署环境需求多样，程序的集成和部署困难的问题，提出了一种遥感算法程序快速封装与Docker容器化系统集成架构。方法 该系统架构主要包括：1）遥感算法程序的镜像自动化封装制作；2）镜像的分发管理，达到算法程序镜像的共享；3）遥感信息产品生产流程的容器化编排服务，将相关联的算法程序镜像串联，以满足特定遥感信息产品的生产；4）容器的调度运行，调用镜像，实现特定遥感产品的容器化运行。本文在上述容器化系统集成架构下，以Landsat5数据的NDVI、NDWI信息产品的生产作为容器化生产实例，并同物理机、KVM （kernel-based virtual machine）虚拟机在运行时间、内存占用量、部署效率等性能进行了对比。结果 Docker容器虚拟化环境下的产品生产和物理机环境下在运行时间和内存占用量上几无差别，优于KVM虚拟机。Docker容器虚拟化环境和KVM虚拟机环境下在部署上能够节省大量时间，相比于物理机环境能够提高部署效率。结论 容器化的系统集成方式能够有效解决遥感算法程序集成和部署困难的问题，有利于遥感算法程序的复用和流程的共享，提高系统集成效率，具备较强的遥感数据实时快速处理能力。     

Mathematical programming-based approaches for multi-facility glass container production planning

This paper introduces a mathematical model (together with a relaxed version) and solution approaches for the multi-facility glass container production planning (MF-GCPP) problem. The glass container industry covers the production of glass packaging (bottle and jars), where a glass paste is continuously distributed to a set of parallel molding machines that shape the finished products. Each facility has a set of furnaces where the glass paste is produced in order to meet the demand. Furthermore, final product transfers between facilities are allowed to face demand. The objectives include meeting demand, minimizing inventory investment and transportation costs, as well as maximizing the utilization of the production facilities. A novel mixed integer programming formulation is introduced for MF-GCPP and solution approaches applying heuristics and meta-heuristics based on mathematical programming are developed. A multi-population genetic algorithm defines for each individual the partitions of the search space to be optimized by the MIP solver. A variant of the fix-and-optimize improvement heuristic is also introduced. The computational tests are carried on instances generated from real-world data provided by a glass container company. The results show that the proposed methods return competitive results for smaller instances, comparing to an exact solver method. In larger instances, the proposed methods are able to return high quality solutions.     

管束式集装箱的组装工艺和型式试验要求

大容积无缝钢瓶、管柬式集装箱和长管拖车作为专用气体储运装备在我国使用和制造已有10年时间，在检验检测和安全监管方面已基本形成相应的安全规范，但设计制造缺乏标准支撑。本文对管柬式集装箱的设计制造资质、组装工艺和型式试验要求进行简要介绍，包括大容积无缝钢瓶和长管拖车的相应要求。     

岸边集装箱起重机电缆小车缓冲器的选型

根据岸边集装箱起重机拖令系统运行特点,对比分析了电缆小车橡胶缓冲器的计算冲击力与现场实测冲击力的差异及原因,比较了橡胶缓冲器和聚氨酯缓冲器的优缺点,提出电缆小车缓冲器的设计选型原则。     

3D打印在包装工业中的应用与前景

综述了3D打印技术中熔融沉积成型技术、激光选区烧结法技术、光固化立体成型技术、分层实体制造技术四种方法的特点和应用,介绍了应用于3D打印技术中常用的材料以及3D打印技术在包装工业中的应用。指出在包装工业中采用3D打印技术具有的优势是其它同类包装制造技术无法比拟的,3D打印技术在未来的包装工业中有着十分广阔的应用前景。     

冷藏集装箱内部温度场的试验研究

冷藏集装箱内部的温度场是影响食品储存质量的重要因素之一,本文对冷藏集装箱的内部温度场进行了试验研究,讨论了温度场分布以及货物堆码对冷藏集装箱温度场的影响,试验结果表明:货物堆码方式的变化会改变箱内流体的温度分布情况,进而影响到换热效果;四体式堆码方式优于其它2种堆码方式。试验得到了冷藏集装箱内截面上各点的温度随冷藏运输时间的变化趋势,进一步得出冷藏集装箱内流场的分布情况。研究结果为冷藏集装箱的优化设计提供了参考依据。     

超大型集装箱船用特厚止裂钢的发展

 超大型集装箱船用特厚止裂钢板由于优异的止裂韧性,能够显著减小复杂交变应力对甲板上部大开口部位形成的安全威胁。通过系统总结止裂韧性的评价体系、对比分析国内外超大型集装箱船舶的发展趋势和特厚止裂钢板的生产状况,综述了超大型集装箱船用特厚止裂钢板的显微组织特征和有可能实施的生产工艺。全厚度细小的等轴铁素体、多边形铁素体配合有限的细化贝氏体及心部γ线上的织构强化是改善特厚钢板止裂韧性的关键。东北大学提出的NEU-Rolling控轧工艺能够解决TMCP态特厚止裂钢板的生产难题。     

废钢运输加料斗的设计与强度分析

在一种废钢运输加料斗的设计过程中利用有限元方法模拟动载荷与冲击载荷 ,分析结构强度 ,利用拓扑优化方法改进结构设计。改进后的结构质量是原来的 45 % ,强度符合使用要求 ,适应公路运输的特点。     

海洋重防腐涂料及涂装体系现状及发展趋势

全面分析了我国船舶涂料、集装箱涂料、海洋资源开发及装备的防腐涂料涂装体系以及沿岸基础设施建设的防腐蚀保护涂料的现状及发展趋势。     

A robust design to reduce variability in glass container inspection

This article presents research efforts made to assist a Fortune 500 glassmaker in reducing the variability of its automated visual inspection systems in assessing product quality. Through interviewing line workers, engineers and managers, and direct observations of the inspection process possible causes leading to large variability observed in the inspection process were identified. Responding to these findings, solutions related to equipment setup, job changes, and operational procedures were suggested in order to minimize the inspection process variations as well as to improve the replicability of the inspection stations. Additionally, a unique statistical experiment was conducted to analyze how three factors (namely, operator, defect size, and threshold value used) would affect the mean of the defective ratio. A robust design aiming at controlling these variations was then given to optimize the system's performance.