探究自动识别技术之物流条码

条码是一种自动识别技术,能通过扫描设备迅速识别所代表的物品,提高物品分类、检索速度,提高物流运输、仓储、配送各环节工作效率,原因是条码有严谨的结构,规范的码制,并且有强大的光学,电子学设备和信息技术数据库支持,未来的条码将向功能更强大的二维条码发展。     

传统集装箱岸桥自动化控制改造研究

对集装箱岸桥设备进行更新与完善,实现设备的自动化控制,可以提升设备工作效率,保证作业安全。结合新技术创新,探索岸桥自动化升级的新途径,并提出有效的改造方法,推进传统集装箱码头的高质量发展。     

科尼订单业务再创历史性突破 首批自动化RTG系统将投入商业运营

日前，科尼签署了向印度尼西亚国有集装箱码头运营商PT Pelabuhan Indonesia III（Persero）（简称为“Pelindo III”）供应自动化RTG（ARTG）系统的大单。这将是世界首批投入商业运营的自动化RTG系统。本次订单包含11台ARTG起重机、远程操控站（ROS）和集装箱堆场自动化基础设施（如集装箱堆场智能大门系统），并定于2015年完成交货。     

振华重工环保型自动化码头花落曹妃甸

1月4日,上海振华重与曹妃甸工业区管委会在沪举行仪式,共同签署《自动化集装箱码头项目合作框架协议》,双方拟在曹妃甸码头合作建立一座具有真正意义的绿色环保型自动化码头,由振华重工为其提供自主研发的世界首创环保、节能、安全、高效的立体轨道式自动化码头装卸系统。     

条形码印刷质量检测与控制

一、条形码应用现状条形码是用于全球贸易项目、物流单元、资产位置、服务关系领域的识别系统。它的核心部分是电子贸易项目识别商品条码技术，商品条码包括EAN码和UPC码，及I２／５，Code３９，C１２８，C３９等码制。目前中国和世界上大多数国家都使用EAN码标示产品，尤其是入世后，我国企业的大量产品将和商品条码一起直接参与国内外市场竞争，商品条码印制质量的重要性不言而喻。GB１２９０４－９１对条形码的结构、尺寸及光学特性做出规定。GB／T１４２５８７－９３规定了通用商品条码符号位置，GB／T１４２５８－９３规定了…     

标签“智能” 二维条码受青睐

智能标签指的是一种光传感识别的矩阵条码,中文称作二维条码,英文名称是QR码,最初为日本汽车工业所采用。二维条码用于连接物品和与之相关的信息记录,条码内编码信息可有4种标准化类型的数据(即数字、字母、英文和汉字节),或通过支持扩展名,连接几乎任何类型的网络数据。     

我国现有的防伪技术

金属条码是集编码技术、计算机技术、激光技术与保密防伪技术，兼具标准化、自动化管理和防伪双重功能于一体的高新技术产品。金属条码识读距离为位0.3m-5m，最窄条码宽度可达0．2mm，金属条码签的厚度为0．06mm-0.20mm，其韧性高于纸码，而可弯曲度与纸质条码签一样，能承受一定力的外物对它的搓揉和碰击，而不影响识读效果。金属条码耐酸碱盐腐蚀、耐高低温（-40℃-200℃），抗风、雨、雪侵蚀和日晒，寿命长达15年-20年，是目前唯一能在户外环境下长期使用的薄韧型条码。金属条码抗电磁干扰、复合防伪、抗污损，具有长期可读性、支持网络化管理特点。金属条码可采用常用的激光扫描器识读，也可采用CCD、笔式扫描器或槽式识读器来识读。     

创新地图

刷条码的电视购物 移动购物的风潮现在也刮到了电视上。从本月10号开始，观看HSN购物频道的观众，只要用智能手机扫描电视屏幕上显示的QR码，     

全球首创!振华重工正式发布集装箱码头装卸新工艺

近日,振华重工智慧集团牵头研发的集装箱码头装卸新工艺正式发布。以往,在自动化集装箱码头的布局中,存在着几个困扰:首先,同一堆场多台轨道吊共轨运行,作业空间相互制约,增加了生产组织难度,作业繁忙时难以兼顾装卸船和集疏运作业。二是集装箱场内水平运输设备和场外集卡不能直接到达目标作业贝位,造成堆场起重机长距离往复行驶、能耗居高不下。三是集卡司机倒车进交互区作业等位时,倒车时间长,容易影响其它车道正常通行。     

数码打印技术在烟草行业的应用

数码打印技术的优势，涵盖了产品的质量保证、产品检查及鉴别等。该技术的使用，可以把产品的信息嵌入到印刷的信息之中。事实证明．数码打印技术特别适用于产品的防伪，整个防伪程序可以在打印之前进行较好的组合。这些组合包括条码、三维彩色码和数码水印，它们都可以事先编程到打印机内。     

A business case for 5G services in an industrial sea port area

5G is a technology that was designed to provide citizens with access to faster and innovative wireless services. While different technical aspects related to 5G have been extensively examined by researchers worldwide, a lack in the existing literature is the economics of 5G in terms of business cases of specific 5G use cases. In this article we analyse the business case for three 5G use cases in an industrial sea port area, the Hamburg port in Germany, over the period 2020–2030. The first use case is enhanced mobile broadband and the results show a payback period lower than one year for all the scenarios analysed. The second use case is automation of container handling in the port's container terminal. It was found that the payback period is also lower than one year with a positive business case net present value in all scenarios studied. The business case of the third case, augmented reality for construction projects in the port's area, is challenging as the payback period was 5 years for the baseline case. Moreover, when performing the sensitivity analysis, it was found that in several scenarios there was a negative return on investment, and it was not possible to recover the investment over the time period studied. It can be concluded that mobile network operators will need to be careful as not all new 5G service offerings may have a positive business case. Future research work should focus on studying other 5G use cases in the port area, and on examining other industrial areas beyond ports such as airports, science parks and manufacturing facilities.     

A continuous time model for multiple yard crane scheduling with last minute job arrivals

Container terminal (CT) operations are often bottlenecked by slow YC (yard crane) movements. Efficient YC scheduling to reduce the PM waiting time is therefore critical in increasing a CT's throughput. This paper develops an efficient continuous time MILP model for YC scheduling. The model treats realistic operational constraints such as multiple inter-crane interference, fixed YC separation distances, simultaneous container storage/retrievals, realistic YC acceleration/deceleration stages and gantry time, and require far fewer integer variables than previous work. The model significantly improves the solution quality compared to the existing discrete time models and other heuristics found in the literature. Using heuristics and a rolling-horizon algorithm, our model can solve actual container yard (CY) problems quickly and robustly in polynomial time. Also, to cope with the last minute container arrivals which can disrupt routine CT operations, two methods for handling these last minute job insertions are discussed and compared.     

Managing truck arrivals with time windows to alleviate gate congestion at container terminals

Long truck queues at gates often limit the efficiency of a container terminal and generate serious air pollution. To reduce the gate congestion, this paper proposes a method called ‘vessel dependent time windows (VDTWs)' to control truck arrivals, which involves partitioning truck entries into groups and assigning different time windows to the groups. The proposed VDTWs method includes three steps: (1) predicting truck arrivals based on the time window assignment, (2) estimating the queue length of trucks, and (3) optimizing the arrangement of time windows to minimize the total cost in the system. A conventional Genetic Algorithm (GA), a multi-society GA, and a hybrid algorithm using GA and Simulated Annealing are used to solve the optimization problem. A case study based on a real container terminal in China is performed, which shows the VDTWs method can flatten the truck arrivals and reduce the gate congestion significantly.     

无线数据传输技术在石油行业中的应用及展望

概括总结了在石油行业中使用的无线数据传输技术,主要可分为常规无线数据传输和井下无线随钻传输。提出了两点展望:利用短距离无线采集与远程无线数传相结合,可实现钻采现场参数实时监测;研发声波无线数据传输新型钻杆接头,能克服能量衰减问题,提高声波传输距离。     

一种多层次多属性信息分类编码模型的设计与应用

根据信息管理系统中对信息分类的需求，分析了以往常用的分类方法中存在的一些不足和弊端，提出了一种多层次多属性信息分类编码模型，并应用于中国石油天然气集团公司库尔勒沙漠运输公司物资材料管理。此信息分类编码模型具有良好的柔性结构，编码结构灵活。采用此模型的编码方法可解决各类信息的分类编码编制问题。     

Dynamic adjustment of container stacking policy in an automated container terminal

The decision for good stacking positions for incoming containers in an automated container terminal is an important operational problem because it affects the productivity not only for stacking but also for later retrieval. This paper proposes an online search algorithm which dynamically adjusts and optimizes a stacking policy by continuously generating variants of stacking policies and evaluating them while they are actually being applied for determining the stacking positions. Simulation experiments show that the proposed algorithm is effective in enhancing the operational productivity, while other offline optimization methods are computationally infeasible to be applied to this problem.     

Modeling and optimization of a container drayage problem with resource constraints

This paper investigates the problem faced by firms that transport containers by truck in an environment with resource constraints. The considered area is export-dominant. As a result, there are three types of container movements as inbound full, outbound full, and inbound empty movements. Both the time windows at the terminal and at the customers’ places and the operation times are considered. Empty containers are also regarded as separate transportation resources besides trucks. The total operating time including waiting time of all the trucks in operation is minimized. The problem is first formulated as a directed graph and then mathematically modeled based on the graph. It falls into a multiple traveling salesman problem with time windows (m-TSPTW) with resource constraints. An algorithm based on reactive tabu search (RTS) is developed to solve the problem. A number of randomly generated examples indicate that the algorithm can be applied to the real world.     

Solutions for flexible container leasing contracts with options under capacity and order constraints

The container–shipping market becomes prosperous with the development of the global economy. As shipping networks become more complex and heterogeneous, container capacity planning becomes more difficult. This paper tackles the container planning problem from the carrier’s perspective in a two-echelon container shipping service chain (CSSC), which includes one carrier and one upstream rental company. A flexible contract with options is introduced into the one-period container planning mechanism. With the flexible options contract, the rental company requires the carrier to make a commitment or place an order in advance. Options give buyer the right to modify the initial orders to better match the supply with the demand. Based on the carrier’s decision tendency, i.e., aggressive or conservative, we analyze the application strategies of the unilateral options and the bidirectional options in different practical scenarios. In particular, for the applicability of the decision models, we further consider the shipping capacity and the minimum order constraints and formulate the carrier’s option policies with constrained nonlinear programs. Numerical examples show that the proposed decision strategies with option contract cannot only effectively increase the container trading quantity between the rental company and the carrier, but also significantly reduce the carrier’s container capacity risk while increasing its profit.     

Estimating the space requirement for outbound container inventories in port container terminals

This paper proposes a method for allocating storage space to groups of outbound containers in port container terminals. For this allocation, a collection of adjacent stacks is reserved for each group of containers with the same attributes. The impacts of various space-reservation strategies on the productivity of the loading operation for outbound containers are discussed. A method is suggested for determining the size of the space requirement for outbound container yards.     

Demand chain management in the container shipping service industry

The growing service sector in the global economy signifies the need for applying service science to study the interdisciplinary nature of services. In particular, container shipping service is considered a key enabler of international trade and global economic development. To strengthen the role of shipping in supporting global seaborne trade, it is highly desirable to identify the determinants that influence the total capacity of the shipping industry, explain how the related business activities (e.g., demand for shipping service, vessel price, fleet size, etc.) are linked to the demand for container shipping service, and empirically verify the findings. This study builds on the demand chain management paradigm to analyze the service capacity of the container shipping industry. We establish a path-analytic model to explain how shipping demand affects such shipping-related variables as vessel price and to evaluate their effects on the service capacity of the industry. The empirically-tested model provides managers and researchers with insights on how to enhance the coordination and integration of a series of shipping-related variables from shipping demand to capacity management in the container shipping service industry.