网站首页期刊简介编委会过刊目录投稿指南广告合作征订与发行联系我们English
锻造车间数据采集与分析系统的设计与应用
英文标题:Design and application on data acquisition and analysis system in forging workshop
作者:林博宇 张浩 孙勇 丁宵月 邓盛彪 
单位:北京机电研究所有限公司 
关键词:智能制造 锻造数字化 数据采集 数据存储 数据分析 
分类号:TP274.2;TP278
出版年,卷(期):页码:2020,45(5):198-202
摘要:
面对锻造车间多种类、多接口、多协议的设备现状,为解决设备间“多源异构”和“信息孤岛”难题,设计了一套数据采集与分析系统,将各种生产设备的控制参数、工艺数据及能源信息进行采集、存储与分析。阐述了采集分析系统的数据特点、采集方式和网络架构,基于C#语言搭建采集和传输程序,结合数据操作语言实现信息存储、分析。实际应用表明,采集系统具有很好的兼容性和通用性,可同时采集全厂多个设备数据,并涵盖多种触发模式,单次采集时间最小可达到100 ms,单日采集有效数据可达4×106条,有效实现了工厂内多条生产线设备的数据采集和信息的统计分析。
Faced with the equipment status of multiple types, multi-interfaces and multi-protocol in the forging workshop, in order to solve the problems of ‘multi-source heterogeneity’ and ‘information islands’ between equipments, the data collection and analysis system was designed, and the control parameters, process data and energy information of various production equipments were collected, stored and analyzed. Then, the data characteristics, collection methods and network structure of the collection and analysis systems were described, and the information storage and analysis with data manipulation language were realized by building the acquisition and transmission programs based on C# language. Practical application shows that the system has good compatibility and versatility to simultaneously collect data from multiple devices under various trigger modes, and the minimum time for a single collection reaches 100 ms. In a single day, the system collects four million valid data to effectively realize the data collection and information statistical analysis of multiple production line equipments in the factory.
基金项目:
国家科技重大专项(2018ZX04044-001)
作者简介:
林博宇(1994-),男,硕士研究生,E-mail:454169720@qq.com;通讯作者:张浩(1963-),男,硕士,博士生导师,研究员,E-mail:zh_hao@sina.com
参考文献:
[1]廉鹏飞. 智能车间多源信息采集技术研究与系统开发[D]. 南京:南京航空航天大学,2016.
Lian P F. Intelligent Workshop Multi-source Information Collection Technology Research and System Development[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2016.
[2]郭磊, 陈兴玉, 张燕龙, 等. 面向智能制造终端的车间生产数据采集与传输方法[J]. 机械与电子, 2019, (8): 21-24.
Guo L, Chen X Y, Zhang Y L, et al. Data collection and Transmission method for workshop production in intelligent manufacturing terminal[J]. Mechanical and Electronic, 2019, (8): 21-24.
[3]李波, 熊迪, 温鹏. 面向数控机床的多源信息采集系统研究[J]. 制造技术与机床, 2019, (3): 26-30.
Li B, Xiong D, Wen P. Research on multi-source information acquisition system for CNC machine tool[J]. Manufacturing Technology & Machine Tool, 2019, (3): 26-30.
[4]李敏峰, 欧阳帆. 基于OPC UA协议的设备数据采集系统开发[J]. 信息技术与信息化, 2018, (7):70-72.
Li M F, Ouyang F. Development of equipment data acquisition system based on OPC UA protocol[J]. Information Technology & Informatization, 2018, (7):70-72.
[5]Downey J, Sebastian Bombiński, Mirosaw Nejman, et al. Automatic multiple sensor data acquisition system in a real-time production environment[A]. The 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering[C]. Capri, Italy, 2014.
[6]杭晟, 潘洪军, 邬甜甜, 等. 在物联网背景下工业车间环境监测系统设计[J]. 管理观察, 2019,(5):39-41.
Hang S, Pan H J, Wu T T, et al. Design of environmental monitoring system for industrial workshop under the background of internet things[J]. Management Observation, 2019,(5):39-41.
[7]方磊, 李德宝, 唐火红, 等. 数字化车间生产状态实时监测系统的研究与实现[J]. 组合机床与自动化加工技术, 2017, (12):122-125,129.
Fang L, Li D B, Tang H H, et al. Research and realization of real-time monitoring system for digital factory status[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2017, (12):122-125, 129.
[8]钟珂珂, 郭具涛, 何其昌, 等. 实时数据驱动的生产线状态监控与效能评估技术研究[J]. 航空制造技术, 2017, 60(7):51-55.
Zhong K K, Guo J T, He Q C, et al. Research on monitoring and operation evaluation technology of production line driven by real-time data from shop floor[J]. Aviation Manufacturing Technology, 2017, 60(7):51-55.
[9]酆亚楠, 孙勇, 苏畅, 等. 离散锻造企业数据采集系统的实施与应用[J]. 锻压技术, 2018, 43(5): 162-166.
Feng Y N, Sun Y, Su C,et al. Implementation and application of data collection system for discrete forging company[J]. Forging & Stamping Technology, 2018, 43(5): 162-166.
[10]Bhattacharjee N. A Real-time Data Acquisition and Digital Signal Processing System for Neuromonitoring[D]. Ohio:University of Cincinnati, 2015.
[11]宫欣伟. 基于SPC分析的模锻生产过程专家系统[D]. 北京:机械科学研究总院集团有限公司, 2017.
Gong X W. Expert System of Forging Production Process Based on SPC Analysis[D]. Beijing: China Academy of Machinery Science and Technology Group Co.,Ltd., 2017.
[12]张昊翔. 多源异构设备的数据采集及智能物流集成技术的研究[D]. 长春:长春理工大学, 2018.
Zhang H X. Research on Data Acquisition of Multi-source Heterogeneous Devices and Intelligent Logistics Intergration Technology[D]. Changchun:Changchun University of Science and Technology, 2018.
[13]余军. 基于多源异构的MES物料管理数据集成系统设计与实现[D]. 合肥:安徽大学, 2019.
Yu J. Design and Implementation of MES Material Management Data Integration System Based on Multi-source Heterogeneus[D]. Hefei: Anhui University, 2019.
服务与反馈:
本网站尚未开通全文下载服务】【加入收藏
《锻压技术》编辑部版权所有

中国机械工业联合会主管 北京机电研究所有限公司 中国机械工程学会塑性工程分会主办
联系地址:北京市海淀区学清路18号 邮编:100083
电话:+86-010-82415085 传真:+86-010-62920652
E-mail: fst@263.net(稿件) dyjsjournal@163.com(广告)
京ICP备07007000号-9