摘要
制造业中的物联网(IoT)被定义为未来每天车间里的实物、人和系统通过互联网连接,构建制造业的服务系统。智能工厂是构建物联网工厂的前提,它与物联网非常一致。物联网不仅处理物理对象之间的智能连接,还处理与数字工厂内使用的不同IT工具间的交互。由于数据和信息来自异构IT系统,存在领域、视点、粒度级别和生命周期阶段的不一致性,从而导致数据共享时无法进行互操作。因此,基于异构IT环境中集成数字工厂、IT工具和物联网的方法和原则,对不一致性进行研究。首先,提出一种基于识别信息集成内容、时间及方式的方法。其次,提出基于语义Web技术和生命周期协作开放服务(OSLC)工具互操作方法,将物联网和生命周期管理(PLM)平台进行集成。
Internet of things(IoT)in manufacturing is defined as the service system of the manufacturing industry through the internet connection of physical objects,people and systems in the future.Smart factory is the premise of building an IoT factory,which is very consistent with IoT.IoT not only deals with intelligent connections between physical objects,but also with the interaction with different IT tools used within digital factory.Because data and information come from heterogeneous IT systems,there are inconsistencies in the domain,viewpoint,granularity,and lifecycle phases,resulting in inability to interoperate when sharing data.Therefore,this paper studies the inconsistency based on the methods and principles of integrating digital factories,IT tools and IoT in heterogeneous IT environments.First of all,this paper proposes a method based on the identification information to integrate content,time and method.Secondly,it proposes to integrate the IoT and lifecycle management(PLM)platform based on semantic Web technology and open services for lifecycle collaboration(OSLC)standard on tool interoperability method.
作者
赵军富
李建军
ZHAO Junfu;LI Jianjun(Inner Mongolia University of Science and Technology,Baotou 014010,CHN)
出处
《制造技术与机床》
北大核心
2020年第4期20-25,共6页
Manufacturing Technology & Machine Tool
基金
内蒙古自然科学基金(N2018NS06018)
国家自然科学基金(61462069)。