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利用物联网技术实现钢铁企业智能化生产管理
引用本文:芦永明,;钱王平,;邓多洪,;倪国华,;方仕雄. 利用物联网技术实现钢铁企业智能化生产管理[J]. 中国冶金, 2014, 24(9): 1-5. DOI: 10.13228/j.boyuan.issn1006-9356.20130266
作者姓名:芦永明,  钱王平,  邓多洪,  倪国华,  方仕雄
作者单位:1.中国钢研科技集团有限公司, 冶金自动化研究设计院混合流程工业自动化系统及装备技术国家重点实验室, 北京 100081 2.江苏沙钢集团有限公司, 江苏 苏州 215625 3. 东南大学自动化学院, 江苏 南京 210096
基金项目:国家自然科学基金资助项目(51304053);国家科技支撑计划资助项目(2012BAC02B06)
摘    要:首先描述了物联网技术及其与传统信息技术之间的关系。然后,介绍了物联网在钢铁行业生产管理、运输物流、能源环保以及设备管理等方面的应用。在此基础上,分析了钢铁企业物联网信息采集与集成、网络通信以及集成应用等关键技术。最后,对钢铁企业物联网应用发展进行了展望。

关 键 词:物联网  钢铁企业  射频识别  跟踪定位  智能化生产管理  

Smart production management of iron and steel enterprises using internet of things
LU Yong-ming,QIAN Wang-ping,DENG Duo-hong,NI Guo-hua,FANG Shi-xiong. Smart production management of iron and steel enterprises using internet of things[J]. China Metallurgy, 2014, 24(9): 1-5. DOI: 10.13228/j.boyuan.issn1006-9356.20130266
Authors:LU Yong-ming  QIAN Wang-ping  DENG Duo-hong  NI Guo-hua  FANG Shi-xiong
Affiliation:(1.State Key Laboratory of Hybrid Process Industry Automation System and Equipment Technology, Automation Research and Design Institute of Metallurgical Industry, China Iron and Steel Research Institute Group, Beijing 100081, China 2.Shagang Group Co., Ltd., Suzhou 215625, Jiangsu, China 3.School of Automation, Southeast University, Nanjing 210096, Jiangsu, China)
Abstract:Firstly, IOT (Internet of Things) technology and the relationship between IOT technology and traditional IT technologies were described. Furthermore, the applications of IOT in the iron and steel industry were introduced in aspects such as production management, transport and logistics, energy and environment and equipment management. On this basis, the collection and integration of information, network communication and integrated application which comprise the key technologies of the applications of IOT in the steel industry were analyzed. Finally, the development of the applications of IOT in iron and steel enterprises was prospected.
Keywords:intemet of things  iron and steel enterprise  RFID  tracking and location  smart production managements
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