【摘要】：物聯(lián)網(wǎng)作為對生產(chǎn)車間管理的有效手段,近年來在制造業(yè)領(lǐng)域中掀起了研究的熱潮,長期以來制造業(yè)存在“信息化孤島”現(xiàn)象,當(dāng)前大多數(shù)生產(chǎn)車間設(shè)備數(shù)據(jù)依靠人工采集,造成車間現(xiàn)場的工況信息無法及時、可靠的上傳到管理層,同樣管理層對設(shè)備的生產(chǎn)作業(yè)指令也無法及時下達(dá)到生產(chǎn)車間,制造執(zhí)行系統(tǒng)(MES)填補(bǔ)了管理層和控制層的信息斷層,數(shù)據(jù)采集作為連接MES系統(tǒng)與設(shè)備的中間環(huán)節(jié),同人工采集方式相比,開發(fā)低成本、易操作的數(shù)據(jù)采集系統(tǒng)是新趨勢。本文主要研究內(nèi)容如下:(1)在原有系統(tǒng)的基礎(chǔ)上,針對離散型制造業(yè),分析了生產(chǎn)車間現(xiàn)場數(shù)據(jù)采集的特點(diǎn),本系統(tǒng)由面向集中排列設(shè)備的PLC批量采集和面向點(diǎn)分布設(shè)備的Zig Bee無線采集兩種方式組成,其中,PLC批量采集系統(tǒng)通過Modbus協(xié)議完成數(shù)據(jù)的傳輸,針對Zigbee無線方式設(shè)計了數(shù)據(jù)采集節(jié)點(diǎn)與服務(wù)器端通信協(xié)議,實(shí)現(xiàn)了數(shù)據(jù)的實(shí)時傳遞。深入研究了數(shù)控機(jī)床狀態(tài)數(shù)據(jù)采集的關(guān)鍵技術(shù),根據(jù)系統(tǒng)要求設(shè)計了軟、硬件,包括PLC采集模塊和Zigbee無線采集模塊電路的設(shè)計,在軟件上設(shè)計了數(shù)據(jù)采集模塊和數(shù)據(jù)處理模塊,實(shí)現(xiàn)了對上傳數(shù)據(jù)的自動解析和數(shù)據(jù)校驗(yàn),同時和數(shù)據(jù)庫端建立實(shí)時連接;(2)在數(shù)據(jù)采集的基礎(chǔ)上,本課題中引入組態(tài)看板分析設(shè)備運(yùn)行狀態(tài)數(shù)據(jù),結(jié)合TOC理論和OEE指標(biāo)分析設(shè)備的歷史數(shù)據(jù)和當(dāng)前產(chǎn)量數(shù)據(jù),并以可視化的方式供管理人員分析;(3)利用上位機(jī)程序?yàn)镻LC配置的同時測試了信號指令的傳輸效果,搭建了Zigbee測試平臺,通過引入?yún)f(xié)作中繼的方法實(shí)現(xiàn)了遠(yuǎn)距離數(shù)據(jù)的傳輸,通過對非理想數(shù)據(jù)傳輸以及通訊故障等工況的模擬和壓力測試,系統(tǒng)表現(xiàn)出良好的自恢復(fù)能力;(4)最后,本系統(tǒng)與MBT物料管理系統(tǒng)的集成為MES系統(tǒng)挖掘更深層次的數(shù)據(jù)價值提供了平臺。
[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.
【學(xué)位授予單位】：浙江理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP274.2

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