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自动化锻造生产线实时数据采集和分析系统
英文标题:Real-time data acquisition and analysis system of automated forging production line
作者:贺小毛 崔磊 翟月雯 庄晓伟 王玲 
单位:北京机电研究所有限公司 江苏龙城精锻有限公司 
关键词:自动化锻造生产线 实时数据采集 网络化 MES系统 现场总线控制 
分类号:TG315;TP311
出版年,卷(期):页码:2021,46(2):14-18
摘要:
针对自动化锻造生产线锻造中各种设备还处于离散状态的特点以及MES系统中的监控模块难以获取生产线的实时、完整的锻造过程信息等问题,自动化锻造生产线总线采用现场总线(Field Bus)技术,将离散状态的单台设备组成智能化网络,实现了单台设备的协同控制和生产线数据的高度集成。设计了由生产线层、数据采集层、网络层、应用层和交互层组成的自动化锻造生产线实时数据采集系统总体架构,编写了基于数据库层、中间件层和用户层3层结构的实时数据采集和分析系统软件,并成功地应用到自动化锻造生产线中,完成了实时数据采集,实现了与MES系统数据互通,完善了MES系统的功能。
For the characteristics that various equipments in the automated forging production line are still in discrete state and the problem that it is difficulty for the monitoring module in the MES system to obtain the real-time and complete forging process information of the production line, the bus of automated forging production line used the field bus technology to combine a single equipment in a discrete state into an intelligent network, which realized the collaborative control of a single equipment and the high integration of production line data. Then, the overall framework of real-time data acquisition system for automated forging production line composed of production line layer, data acquisition layer, network layer, application layer and interaction layer was designed, and the software of real-time data acquisition and analysis system based on three layers structure for database layer, middleware layer and user layer was compiled to apply to automated forging production line successfully. Furthermore, the real-time data collection and the data communication with the MES system were realized, and the functions of the MES system were promoted.
基金项目:
江苏省科技成果转化专项资金(BA2016089)
作者简介:
贺小毛(1971-),男,博士,高级工程师,E-mail:hexiaomaos@163.com
参考文献:
[1]闫纪红, 李柏林. 智能制造研究热点及趋势分析[J]. 科学通报, 2020, 65(8): 684-694.
Yan J H, Li B L. Research hotspots and tendency of intelligent manufacturing[J]. Chinese Science Bulletin, 2020, 65(8): 684-694.
[2]蒋鹏, 孙勇. 锻造自动化技术应用进展及改造建议[J]. 金属加工:热加工, 2014, (21): 6-7.
Jiang P, Sun Y. Application progress and reform proposals of forging automation technology[J]. MW Metal Forming, 2014, (21): 6-7.
[3]尹超, 刘飞, 胡勇. 机械加工车间数字化制造描述模型及总体框架[J]. 重庆大学学报, 2012, 35(9): 8-15.
Yin C, Liu F, Hu Y. Descriptive model and general framework of machining workshop digital manufacturing[J]. Journal of Chongqing University, 2012, 35(9): 8-15.
[4]张建雄, 徐敏捷, 金斐斐, 等. 智能制造体系架构分析与工业互联网应用[J]. 电信技术, 2016, (5): 28-34.
Zhan J X, Xu M J, Jin F F, et al. Analysis of intelligent manufacturing architecture and industrial internet applications[J]. Telecommunications Technology, 2016, (5): 28-34.
[5]胡琪波, 李福瑞,漆奋平. 基于参考模型的制造业MES需求建模[J]. 锻压装备与制造技术,2013, 48(1): 92-96.
Hu Q B, Li F R, Qi F P. Requirement modeling for manufacturing industry MES based on reference model[J]. China Metalforming Equipment & Manufacturing Technology, 2013, 48(1): 92-96.
[6]肖力墉, 苏宏业, 褚健. 制造执行系统功能体系结构[J]. 化工学报, 2010, 61(2): 359-363.
Xiao L Y, Su H Y, Chu J. Functional architechture of manufacturing execution system[J]. CIESC Journal, 2010, 61(2): 359-363.
[7]毕英杰, 欧阳树生, 徐端, 等. 制造执行系统(MES)标准体系架构研究[J]. 信息技术与标准化, 2010, (7): 54-57,61.
Bi Y J, Ouyang S H, Xu D, et al. Study on standard architecture of manufacturing execution system(MES)[J]. Information Technology & Standardization, 2010, (7): 54-57,61.
[8]于雄, 张株瑞, 周应军. 离散制造企业设备管理系统与MES集成研究[J]. 软件, 2016, 37(2): 174-176.
Yu X, Zhang Z R, Zhou Y J. Research on the integration of equipment management system and MES in discrete manufactureing enterprise[J]. Computer Engineering & Software, 2016, 37(2): 174-176.
[9]Govindaraju R, Lukman K, Chandra D R. Manufacturing execution system design using ISA-95[J]. Advanced Materials Research, 2014, 980: 248-252.
[10]Stano P, Simeonov S, Cirovic I, et al. Application range of integrating manufacturing execution system functions in enterprises [J]. Wiadomoci Parazytologiczne, 2011, 17(2): 181-185.
[11]杨昀, 卢家鑫. 离散型制造企业数据采集系统设计及实施[J]. 机电工程技术, 2017, 46(7): 29-31.
Yang Y, Lu J X. Design and implementation for discrete manufacturing enterprise data collection system[J]. Mechanical & Electrical Engineering Technology, 2017, 46(7): 29-31.
[12]时运来, 付少蕾, 春辉, 等. 面向生产车间的实时监控系统设计[J]. 组合机床与自动化加工技术, 2020, (2): 132-135,139.
Shi Y L, Fu S L, Chun H, et al. Design of real-time monitoring system for production workshop[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2020, (2): 132-135,139.
[13]邓盛彪,张宏涛,孙勇,等. 基于大数据的锻造生产过程模型的搭建与分析 [J].锻压技术,2019,44(5):174-179.
Deng S B,Zhang H T,Sun Y,et al. Construction and analysis on forging production process model based on big data [J]. Forging & Stamping Technology,2019,44(5):174-179.
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