基于物联网的智能仓储应用与研究外文翻译资料

2018 International Conference on Computer, Communications and Mechatronics Engineering (CCME 2018)

ISBN: 978-1-60595-611-4

Application and Research of Intelligent Warehousing Based on IoT

Xue-zi YANG, Zheng ZHANG* and Fu-quan ZHANG Centre of Information Technology, CGN Power Co., Ltd., Shenzhen City, China

*Corresponding author

Keywords: IoT, Warehouse, System.

Abstract. The Internet of things (IoT) technology has been applied in many industries because of the basic features of total perception, reliable transmission and intelligent processing. At the same time, it also drives the innovation of the whole logistics industry, and its application field is expanding. At present, most of the domestic warehouse management systems still stay in the human information input, computer storage semi-automation level. There are many shortcomings such as low efficiency of management, large cost of manpower, slow information processing, low accuracy and so on. With the development of embedded equipment and wireless communication technology, the two dimensional code technology, intelligent computing technology, radio frequency technology and wireless sensing technology are applied to warehouse management. The realization of object and object perception, identifiable, networked intelligent management system has become an inevitable trend of development. In this paper, a model of intelligent storage system based on Internet of things is discussed in detail, and it is applied and verified in practical production and work.

Introduction

Research Status

Warehousing has always played an important role in large-scale manufacturing industry. With the rapid development of modern manufacturing industry and the urgent need for information, higher requirements have been put forward for the exiting, entering, and internal management of warehouse operations. In order to get accurate goods data and supply chain information at all stages of logistics, the modern storage reserve is not only the simple batch processing of the goods entering and leaving, but also the clear database record of the type, quantity, production attribute, container and so on of the goods in the warehouse.

There are many problems in the traditional warehousing business, Such as: in and out of the warehouse personnel operation confusion, inventory reports are not timely, warehouse goods attributes are not clear, stacking confusion, inventory inaccurate, etc These problems need to be solved by the optimization and upgrading of warehouse management based on information management technology.

IOT Technology

The Internet of things is the connection between 'things' and 'things'. Through the sensor, Radio Frequency Identification, Video Identification, Infrared remote Sensing, Global Positioning system, Laser Scanner and Other equipment, which with the agreed protocols to Interconnection of networks, transmission of information and interaction. Finally, the intelligent identification, positioning, tracking, monitoring and management of the intelligent network system are realized. The Internet of things can be understood on two levels, If understand from the view of technical point, We can understand this as an object passing through an intelligent sensor, passing through a transmission network and then reaching a designated information processing center. And finally build an intelligent network of objects and objects, which also can provide the way people and objects can interact with each other. If understand from the perspective of application, The Internet of things means that all objects in the world are connected to a large network to form an Internet of things, which is then

combined with the existing Internet of things. We can realize the integration of human society and physical system. This dynamic management mode makes production and life more convenient and fast.

The Internet of things (IoT) is based on a specific terminal, which is connected by wired or wireless means to meet the information requirements of production process monitoring, scheduling and command, remote data acquisition and measurement, remote diagnosis and so on. It has three important characteristics:

1) Total perception: Using sensors to get information about objects at anytime and anywhere

2) Reliable transmission: Through the integration of various physical networks and the Internet, the information obtained can be transmitted in real time and accurately.

3) Intelligent processing: By using cloud computing, fuzzy recognition and other intelligent computing technologies, the massive data and information are analyzed and processed, and the objects are controlled intelligently.

Design and Modeling of Intelligent Warehousing System

Intelligent warehousing system is the information means used by warehouse management department to make the best use of storage resources and to provide quick and effective storage service in the process of organizing and working. It mainly includes inventory, management, scheduling and other aspects of the work which have many conditions. Its very hard to do all these work by hand. Therefore, a warehouse management system based on IoT technology and system is designed to reduce the workload and error rate of manual inventory and manual inventory.

The Core Functions of System

We can divide

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2018计算机、通信与机电一体化工程国际会议（CCME2018）

国际书号：978-1-60595-611-4

基于物联网的智能仓储应用与研究

*通讯作者

关键词：物联网仓库系统

摘要 物联网技术因其整体感知、可靠传输和智能处理等基本特性而应用于许多行业。同时，也带动了整个物流行业的创新，其应用领域也在不断扩大。目前，国内大部分仓库管理系统仍停留在人工信息输入、计算机存储半自动化水平。存在管理效率低、人力成本大、信息处理懒散、准确性低等缺点缺点。随着嵌入式设备和无线通信技术的发展，二维码技术、智能计算技术、射频技术和无线传感技术应用于仓库管理。实现对对象的感知、可识别化、网络化的智能管理系统已成为发展的必然趋势。本文详细论述了一种基于物联网的智能存储系统模型，并在实际生产和工作中进行了应用和验证。

简介

研究现状

仓储在大型制造业中一直扮演着重要的角色。随着现代制造业的快速发展和信息化的迫切需求，对仓库业务的进出和内部管理提出了更高的要求仓库操作。为了在物流的各个阶段获得准确的货物数据和供应链信息，现代仓储储备不仅仅是进出货物的简单批量处理，还有仓库中货物的类型，数量，生产属性，集装箱等的清晰数据库记录。

传统仓储业务中存在很多问题，如：进出仓库人员操作混乱，库存报表不及时，仓库货物属性不明确、堆垛混乱、库存不准确等问题都需要通过基于信息管理技术的仓库管理的优化升级来解决。

物联网技术

物联网是“物”与“物”之间的连接。通过传感器、射频识别、视频识别、红外遥感、全球定位系统、激光扫描仪等设备，其与商定的协议进行网络互联、信息的传输和互动。最后，实现智能网络系统的智能识别、定位、跟踪、监控和管理。物联网可以从两个层面上来理解，如果从技术角度来理解，我们可以理解为一个物体经过一个智能传感器，通过传输网络，然后到达指定的信息处理中心。最后构建一个由物和物组成的智能网络，这也可以提供人和物体相互交互的方式。如果从应用的角度来理解，物联网意味着世界上所有的物体都连接到一个大型网络上，形成物物相联的网络，然后结合现有的物联网。我们可以实现人类社会与物质系统的融合。这种动态管理模式使生产和生活更加方便快捷。

物联网基于特定的终端，通过有线或无线方式连接，以满足生产过程监控、调度和指挥、远程数据采集和测量、远程诊断等。它具有三个不重要的特征：

1）全面感知：使用传感器随时随地获取有关物体的信息

2）可靠传输：通过各种物理网络和互联网的整合，获得的信息可以实时准确地传输。

3）智能处理：利用云计算、模糊识别等智能计算技术，对海量数据和信息进行解析和处理，对对象进行智能控制。

智能仓储系统设计与建模

智能仓储系统是仓库管理部门在组织和工作过程中，充分利用存储资源，提供快速有效的存储服务的信息手段。它主要包括库存、管理、调度和其他方面的工作。人力完成这些工作非常困难。因此，设计一种基于物联网技术和系统的仓库管理系统，以减少人工盘点和人工盘点的工作量和错误率。

系统的核心功能

我们可以划分智能仓储系统的核心功能，如下图1所示：

图1.智能仓储系统的核心功能。

1）主数据：主数据是整个系统的基本数据，包括货物、人员、货物、供应商等。

2）验收模块：主要包括到货跟踪、到货登记、验收操作、退货操作、包装货架、临时入库管理和差别待遇，其中应考虑多部门共同接受和多重工作之间的渐进关系。

3）进料模块：主要包括储备审批、入库物料、出库和自检货物。集装箱可以自动访问，解决很多人排队等候的问题。

4）维护模块：主要包括货物转运、库存状态调整、定期维护、报废处理、异常反馈等功能。

5）盘点模块：主要功能包括自动盘点、差额跟踪和处理。

6）安全盘点模块：它是根据安全盘点应自动提醒补货启动采购流程的。

7）指示与统计：其主要功能是对过程数据进行统计和显示，根据数据指标寻求更大的优化空间。

系统的五个层次

我们可以根据上面的系统函数构建系统模型，主要分为五个基本层，可以在下面进行（见图2）：

图2.五级智能仓储系统。

1）环境层：主要是材料标签和物理环境，如护法器，条形码标签和RFID标签，为模型提供物理支持。

2）智能硬件层：主要包括条码采集器、标签打印机、监控设备、图片采集器和自动存取柜。它的主要功能是将物理信号或符号转换为逻辑和数字信号和标签。为上层逻辑提供即时数据。此模型侧重于硬件设备的使用，因此不重点介绍。

3）网络层：它可以在两端系统之间透明地传输数据，包括寻址和路由，连接建立，维护和终止等。本文涉及的网络是4G网络和互联网，以传输数据和项目状态。

4）逻辑层：实现仓库管理的主要功能，正确处理业务逻辑。它不限于一两个系统，而是一个涉及仓储操作的集合系统，除了上面提到的核心仓储业务外，还可以包括任务中心、流程中心、文档系统等。

5）表示层：指正确显示业务逻辑处理的结果，其中应包括移动终端、PC等其他显示工具终端、大屏幕终端等。

智能仓储系统安装

根据企业的实际情况和上述模式，构建了企业独特的仓储管理系统。SAPIM/WM作为系统的核心。进入、退出、检查等功能倾斜到轻量级手机。为了完成流程可视化、文档存储和消息提醒、流程中心、文档等功能。系统和邮件提醒用作辅助系统。最后，实现闭环存储业务管理。具体的系统规划图可以显示如下（见图3）：

图3.智能仓储系统的实施。

可以根据模型实例化的操作流可以用下面的图4表示：

图4.基于智能仓储系统的工作流程。

总结

与传统的仓储管理相比，基于物联网的仓储管理系统无疑具有更高的效率和安全性，可以为客户提供更完善的服务。同时，也为仓储业务的未来发展提供了更多可能。在大数据发展的大背景下，物联网技术也得到了国家政策的支持。物联网的应用仓储管理技术已成为必然趋势，值得研究。当然，技术的飞速发展也会带来一定的风险，与互联网的紧密连接将导致来自网络的各种攻击，物联网技术的安全性也可以作为后续研究的方向。

参考文献

[1]王志良，《物联网工程导论》[M]，中国机械工业出版社。2011.

[2]吴晓召，物联网技术在仓储物流中的应用分析与展望[J]，CBAM，2011。

[3]刘婷，杨华云，基于物联网的仓储管控集成架构设计[J]，中国贸易，2013.

[4]王新国，物联网技术在仓储物流中的应用分析与展望[J]，电子技术与软件工程，2013，23。

2018 International Conference on Computer, Communications and Mechatronics Engineering (CCME 2018)

ISBN: 978-1-60595-611-4

Application and Research of Intelligent Warehousing Based on IoT

Xue-zi YANG, Zheng ZHANG* and Fu-quan ZHANG Centre of Information Technology, CGN Power Co., Ltd., Shenzhen City, China

*Corresponding author

Keywords: IoT, Warehouse, System.

Abstract. The Internet of things (IoT) technology has been applied in many industries because of the basic features of total perception, reliable transmission and intelligent processing. At the same time, it also drives the innovation of the whole logistics industry, and its application field is expanding. At present, most of the domestic warehouse management systems still stay in the human information input, computer storage semi-automation level. There are many shortcomings such as low efficiency of management, large cost of manpower, slow information processing, low accuracy and so on. With the development of embedded equipment and wireless communication technology, the two dimensional code technology, intelligent computing technology, radio frequency technology and wireless sensing technology are applied to warehouse management. The realization of object and object perception, identifiable, networked intelligent management system has become an inevitable trend of development. In this paper, a model of intelligent storage system based on Internet of things is discussed in detail, and it is applied and verified in practical production and work.

Introduction

Research Status

Warehousing has always played an important role in large-scale manufacturing industry. With the rapid development of modern manufacturing industry and the urgent need for information, higher requirements have been put forward for the exiting, entering, and internal management of warehouse operations. In order to get accurate goods data and supply chain information at all stages of logistics, the modern storage reserve is not only the simple batch processing of the goods entering and leaving, but also the clear database record of the type, quantity, production attribute, container and so on of the goods in the warehouse.

There are many problems in the traditional warehousing business, Such as: in and out of the warehouse personnel operation confusion, inventory reports are not timely, warehouse goods attributes are not clear, stacking confusion, inventory inaccurate, etc These problems need to be solved by the optimization and upgrading of warehous

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