二氧化锰阴极制备工艺数字化研究

发布时间：2018-07-20 18:22

【摘要】：在今天的制造行业里,数字化已经成为大数据时代的重要特征,是工业生产的新动力。其目的在于将信息化、数字化技术用于生产现场的管控。不论是在客户端还是生产端,产品一旦发现问题,数字化系统能够在第一时间通过对采集上来的数据进行分析、追踪,以最快的速度找出问题的原因并且给出解决方案,从而提升产品的整体质量使客户满意。论文通过从人、机、料、法、环、测这生产六要素入手,围绕被膜工序展开研究,从中抽取被膜炉、浸渍槽这两种设备进行改造及升级。项目分为硬件与软件两部分。硬件方面,会对被膜炉及浸渍槽进行分析,整理出产品技术人与所需要的生产信息。针对这些信息我们会选择最佳的采集模块对其进行在线采集,并将采集上来的数据存储到相应的数据服务器中。在此过程中,一定要考虑到被膜工序特殊的生产环境,采用耐高温、耐腐蚀的特殊材料。论文会专门介绍不同的信号类型应该采用哪种数据模块来采集。软件方面从整个网络架构的顶层开始,ERP→MES→DCS(SCADA)→生产现场,由上至下的铺展开来,将我们被膜工序所有和生产相关的数据、信息都上传的数据库中,再通过强大的数据分析软件,整合出最合理的生产信息,以供技术人员参考。这其中还有为此次项目专门定制的G3、G5模块,是针对离散型生产企业而定制开发的产品。最后,我们还需要将硬件层与软件层进行无缝对接。通过信息化人员、产品技术人员、设备维护人员三方的沟通交流,制定出最佳的流程,我们所采集到的所有生产数据,都会以该流程为模板上传到MES的网络数据库中。要完成对接工作,就需要对ERP、MES、SCADA、PDC这几层系统有充分的了解。这些内容都是在后台运作产生的,而我们会将所有的软件信息以组态网的方式展现给操作者,管理人员只需要在车间办公室,就能够观察到当天的生产线情况。并且能实时的对生产线上的每一道流程进行远程操控,保证生产的稳定运行。综上所述,不论是硬件还是软件,都只是为了实现智能化系统的一种手段、一种工具,对生产模式的转变也并不是最终的目的。我们最终的目的是要让离散型的生产企业,各工序之间能够无缝的链接起来,减少人为的误差及失误。并且采集一切和生产相关的数据上传到MES层系统中,经过分析整理后,这些数据向上可以辅助ERP的领导层制定公司相关任务安排,向下可以为产品技术人员提供详细的统计信息,为新品的研发提供支持。
[Abstract]:In today's manufacturing industry, digitization has become an important feature of the big data era and a new driving force for industrial production. Its purpose is to use information technology, digital technology in production site control. Whether on the client side or the production side, once the product discovers the problem, the digital system can analyze and trace the collected data at the first time, find out the cause of the problem as quickly as possible and give the solution. In order to improve the overall quality of the product to customer satisfaction. This paper starts with the six factors of production, such as human, machine, material, method, ring and measurement, and carries out the research around the process of film coating. The two kinds of equipments are extracted from the membrane furnace and impregnated tank to be reformed and upgraded. The project is divided into two parts: hardware and software. On the hardware side, the coated furnace and dipping tank will be analyzed to sort out the product technical personnel and needed production information. In view of these information we will choose the best collection module to collect it online and store the collected data in the corresponding data server. In this process, it is necessary to take into account the special production environment of the film process and adopt special materials with high temperature and corrosion resistance. This paper will introduce which data module should be used for different signal types. From the top of the whole network architecture, the software starts with ERP / mes / DCS (SCADA) production site, spreading from top to bottom, all the data and information related to the production of our membrane process are uploaded in the database. Then through the powerful data analysis software, integrate the most reasonable production information, for technical personnel reference. There is also the G3 G5 module customized for the project, which is customized for discrete manufacturing enterprises. Finally, we also need to connect the hardware layer with the software layer seamlessly. Through the communication among information personnel, product technicians and equipment maintainers, the best process can be worked out. All the production data collected by us will be uploaded to mes network database based on this process. In order to complete the docking work, we need to have a good understanding of the several layers of ERPMS / SCADA / PDC systems. All this is generated in the background, and we present all the software information to the operator in the form of a configuration network, and the manager needs only to be in the workshop office to observe the production line on the day. And can carry on the remote control to each flow on the production line in real time, guarantees the production to run stably. To sum up, both hardware and software are only for the realization of intelligent system means, a tool, the transformation of production mode is not the ultimate goal. Our ultimate goal is to make discrete production enterprises, processes can be seamlessly linked to reduce human error and error. And collect all the data related to production and upload to the mes layer system, after analysis and collation, these data can assist the ERP leadership to formulate the company's relevant task arrangements, Downwards can provide detailed statistical information for product technicians and provide support for R & D of new products.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TQ137.12;TQ150.6

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