基于移动物联消息驱动的实训执行系统工作流关键技术

发布时间：2018-02-27 09:14

本文关键词： 实训执行系统移动物联工作流消息驱动　出处：《广东工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着我国对应用型人才培养的推进,各高校加大了对工程训练中心的建设力度。但是,当前工程训练中心的实训管理系统已经不能适应新的实训需求。实训生产非常关注生产数据的实时响应和传输、实训业务的处理能力。而传统的实训车间生产管理信息化一直是最薄弱的环节,系统缺乏与实训车间进行有效信息交流的技术手段。随着信息技术的飞速发展,工程训练管理的信息化、网络化和移动化是一个必然的发展趋势。本文以移动物联消息驱动的实训执行系统中工作流技术的应用为研究背景,分析了实训执行系统现状与存在的问题,根据实训执行系统的未来发展需求,对原有的现场实训模式和业务方法进行重构和优化。研究了如何在物联网环境下实训执行系统能够灵活的响应RFID/NFC触发的消息事件,并触发工作流的执行,利用消息驱动机制,在移动终端通过消息通知相关实训人员处理任务。通过消息驱动工作流机制,对工作流进行建模,利用消息驱动的机制实现不同业务流程之间的关联,并介绍了消息驱动的工作流系统实现原理和消息驱动的工作流系统的实现。本文通过定义MEP协议封装RFID/NFC产生的消息事件,根据ECA规则的定义,触发工作流的执行,并通过给流程参与者发送消息触发后续的活动。消息驱动工作流是通过基于XMPP协议的Openfire服务器来实现向流程参与者分发与推送消息实体,实现流程之间的关联,从而驱动整个工作流的执行,并通过MEP协议调用相应的业务资源,完成实训制造执行过程。在实训执行过程中利用消息驱动工作流机制,通过对消息和事件的一系列处理,完成系统中各实体数据之间的即时通信,实现对设备的监控管理和实训任务的智能化管理。本文利用消息驱动工作流技术和移动应用的集成,是适应移动化实训执行管理的要求。实现对实训车间中工件、物料、设备和人员等智能制造对象的实时监控和管理,满足面向智能制造的实训要求,实现人才培养-企业需求-实训创新的无缝衔接,力争培养出满足智能制造和经济发展的高技能制造型人才。
[Abstract]:With the development of applied talents training in our country, colleges and universities have stepped up the construction of engineering training centers. However, At present, the training management system of the engineering training center can no longer meet the new training needs. The training production pays great attention to the real-time response and transmission of the production data. The processing ability of practical training business. But the traditional practice workshop production management information is always the weakest link, the system lacks the technical means to carry on the effective information exchange with the practice workshop. With the rapid development of the information technology, The informatization, networking and mobility of engineering training management is an inevitable development trend. This paper analyzes the present situation and existing problems of the practical training execution system, and according to the future development needs of the practice execution system, This paper reconstructs and optimizes the original on-the-spot training mode and business methods, and studies how the practical training execution system can respond flexibly to the message events triggered by RFID/NFC under the environment of the Internet of things, and trigger the execution of workflow, and utilize the message-driven mechanism. In the mobile terminal, the relevant practitioners are notified by message to deal with the task. Through the message-driven workflow mechanism, the workflow is modeled, and the relationship between different business processes is realized by using the message-driven mechanism. The implementation principle of message-driven workflow system and the realization of message-driven workflow system are introduced. In this paper, the message events generated by RFID/NFC are encapsulated by defining MEP protocol, and the execution of workflow is triggered according to the definition of ECA rules. Message driven workflow is to distribute and push message entities to process participants through Openfire server based on XMPP protocol. In order to drive the execution of the whole workflow, and call the corresponding business resources through the MEP protocol, complete the process of practice manufacturing execution. In the process of practice execution, we use message driven workflow mechanism, through a series of message and event processing, In this paper, the integration of message driven workflow technology and mobile application is used to complete the instant communication between the entities in the system, to realize the monitoring and management of the equipment and the intelligent management of the training task. It is to meet the requirements of mobile training execution management. To realize the real-time monitoring and management of intelligent manufacturing objects, such as workpieces, materials, equipment and personnel in the training workshop, and to meet the practical training requirements for intelligent manufacturing. To realize the seamless link between talent training, enterprise demand and practical innovation, and to cultivate high skilled manufacturing talents to meet the needs of intelligent manufacturing and economic development.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F273;TP311.52

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