针对离散型机械加工企业生产数据采集系统的研究与应用
发布时间:2018-09-02 08:24
【摘要】:物联网作为对生产车间管理的有效手段,近年来在制造业领域中掀起了研究的热潮,长期以来制造业存在“信息化孤岛”现象,当前大多数生产车间设备数据依靠人工采集,造成车间现场的工况信息无法及时、可靠的上传到管理层,同样管理层对设备的生产作业指令也无法及时下达到生产车间,制造执行系统(MES)填补了管理层和控制层的信息断层,数据采集作为连接MES系统与设备的中间环节,同人工采集方式相比,开发低成本、易操作的数据采集系统是新趋势。本文主要研究内容如下:(1)在原有系统的基础上,针对离散型制造业,分析了生产车间现场数据采集的特点,本系统由面向集中排列设备的PLC批量采集和面向点分布设备的Zig Bee无线采集两种方式组成,其中,PLC批量采集系统通过Modbus协议完成数据的传输,针对Zigbee无线方式设计了数据采集节点与服务器端通信协议,实现了数据的实时传递。深入研究了数控机床状态数据采集的关键技术,根据系统要求设计了软、硬件,包括PLC采集模块和Zigbee无线采集模块电路的设计,在软件上设计了数据采集模块和数据处理模块,实现了对上传数据的自动解析和数据校验,同时和数据库端建立实时连接;(2)在数据采集的基础上,本课题中引入组态看板分析设备运行状态数据,结合TOC理论和OEE指标分析设备的历史数据和当前产量数据,并以可视化的方式供管理人员分析;(3)利用上位机程序为PLC配置的同时测试了信号指令的传输效果,搭建了Zigbee测试平台,通过引入协作中继的方法实现了远距离数据的传输,通过对非理想数据传输以及通讯故障等工况的模拟和压力测试,系统表现出良好的自恢复能力;(4)最后,本系统与MBT物料管理系统的集成为MES系统挖掘更深层次的数据价值提供了平台。
[Abstract]:The Internet of things, as an effective means for the management of production workshop, has set off an upsurge of research in the field of manufacturing in recent years. For a long time, the phenomenon of "information isolated island" exists in the manufacturing industry. At present, most of the equipment data of production workshop rely on manual collection. As a result, the working condition information of workshop site can not be timely and reliably uploaded to the management, and the production order of the equipment can not be delivered to the workshop in time. The manufacturing execution system (MES) fills the information gap between the management and the control layer. Data acquisition, as the intermediate link between MES system and equipment, is a new trend to develop low cost and easy to operate data acquisition system compared with manual acquisition method. The main contents of this paper are as follows: (1) on the basis of the original system, the characteristics of field data collection in production workshop are analyzed for discrete manufacturing industry. The system is composed of PLC batch acquisition oriented to centralized arrangement equipment and Zig Bee wireless acquisition oriented to point distribution equipment. The data transmission is accomplished by Modbus protocol. The communication protocol between the data acquisition node and the server is designed for Zigbee wireless mode, and the real-time data transfer is realized. The key technology of state data acquisition of NC machine tools is studied in depth. According to the system requirements, the software and hardware are designed, including the circuit design of PLC acquisition module and Zigbee wireless acquisition module, and the data acquisition module and data processing module are designed on the software. The automatic analysis and verification of the uploaded data are realized, and the real-time connection is established with the database. (2) on the basis of data acquisition, configuration Kanban is introduced to analyze the running state data of the equipment. Combined with TOC theory and OEE index to analyze the historical data and current output data of the equipment, and for managers to analyze in a visual way. (3) using the upper computer program to configure the PLC and test the transmission effect of the signal instructions at the same time. The Zigbee test platform is built and the remote data transmission is realized by introducing cooperative relay method. Through simulation and pressure test of non-ideal data transmission and communication failure, the system shows good self-recovery ability. (4) finally, The integration of the system and the MBT material management system provides a platform for the MES system to mine deeper data value.
【学位授予单位】:浙江理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP274.2
本文编号:2218806
[Abstract]:The Internet of things, as an effective means for the management of production workshop, has set off an upsurge of research in the field of manufacturing in recent years. For a long time, the phenomenon of "information isolated island" exists in the manufacturing industry. At present, most of the equipment data of production workshop rely on manual collection. As a result, the working condition information of workshop site can not be timely and reliably uploaded to the management, and the production order of the equipment can not be delivered to the workshop in time. The manufacturing execution system (MES) fills the information gap between the management and the control layer. Data acquisition, as the intermediate link between MES system and equipment, is a new trend to develop low cost and easy to operate data acquisition system compared with manual acquisition method. The main contents of this paper are as follows: (1) on the basis of the original system, the characteristics of field data collection in production workshop are analyzed for discrete manufacturing industry. The system is composed of PLC batch acquisition oriented to centralized arrangement equipment and Zig Bee wireless acquisition oriented to point distribution equipment. The data transmission is accomplished by Modbus protocol. The communication protocol between the data acquisition node and the server is designed for Zigbee wireless mode, and the real-time data transfer is realized. The key technology of state data acquisition of NC machine tools is studied in depth. According to the system requirements, the software and hardware are designed, including the circuit design of PLC acquisition module and Zigbee wireless acquisition module, and the data acquisition module and data processing module are designed on the software. The automatic analysis and verification of the uploaded data are realized, and the real-time connection is established with the database. (2) on the basis of data acquisition, configuration Kanban is introduced to analyze the running state data of the equipment. Combined with TOC theory and OEE index to analyze the historical data and current output data of the equipment, and for managers to analyze in a visual way. (3) using the upper computer program to configure the PLC and test the transmission effect of the signal instructions at the same time. The Zigbee test platform is built and the remote data transmission is realized by introducing cooperative relay method. Through simulation and pressure test of non-ideal data transmission and communication failure, the system shows good self-recovery ability. (4) finally, The integration of the system and the MBT material management system provides a platform for the MES system to mine deeper data value.
【学位授予单位】:浙江理工大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP274.2
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