基于Agent的数控系统信息集成方法

doi:10.13229/j.cnki.jdxbgxb201506035

摘要/Abstract

摘要： 为了实现网络化环境下制造设备的管理和远程监控,提出了开放网络环境中的数控设备信息集成方法,包括数控系统联网方式、设备的信息模型和信息交互流程。该方法采用代理作为机床的网络接入端口,针对机床的结构多样性和传感器多样性的特点,建立了分层次可扩展的机床信息模型,通过Internet传输数控系统的结构化信息。设计了网络环境下的车间信息管理系统,实现了机床加工数据的可视化和机床利用率的统计。在实际的加工车间对所提出的数控系统信息集成方法的有效性进行验证,结果表明,该方法能够方便、可靠地实现网络环境中数控系统的信息集成,并且具有可扩展性。

关键词: 计算机应用, 信息集成, 数控系统, 信息模型

Abstract: To realize remote monitoring and management of manufacturing equipments, a method of information integration of Numerical Control (NC) equipments was proposed, which included interconnection architecture, information model for devices and workflow of information interchange. Machine tools were connected to internet through agents. A container based hierarchical unified information model was proposed to organize the heterogeneous data from variety machine tools and sensors. The information was transmitted over an internet protocol. A remote monitoring and managing system in accordance with the method was designed and implemented. The system was tested through visualization of manufacturing process and statistics of the overall equipment efficiency. The results demonstrate that the proposed method is a reliable and extensible solution for manufacturing information integration.

Key words: computer application, information integration, numerical control system, information model

中图分类号:

TP393

陆小虎，于东，胡毅，姚壮. 基于Agent的数控系统信息集成方法[J]. 吉林大学学报(工学版), 2015, 45(6): 1980-1986.

LU Xiao-hu, YU Dong, HU Yi, YAO Zhuang. Numerical control system information integration method based on agent[J]. 吉林大学学报(工学版), 2015, 45(6): 1980-1986.

参考文献

[1] 刘飞, 雷琦, 宋豫川. 网络化制造的内涵及研究发展趋势[J]. 机械工程学报,2003,39(8):1-6.
Liu Fei, Lei Qi,Song Yu-chuan. The connotation and research trends of Networked manufacturing[J]. Chinese Journal of Mechanical Engineering,2003,39(8):1-6.
[2] 童亮,鄢萍,刘飞. 面向服务的车间制造过程信息集成运行系统[J]. 计算机集成制造系统, 2010,16(2):340-348.
Tong Liang, Yan Ping, Liu Fei. Service-oriented information integration system for workshop manufacturing process[J]. Computer Integrated Manufacturing Systems, 2010,16(2):340-348.
[3] 王琦峰. 面向服务的车间制造系统运行模式及支持技术研究[D]. 重庆:重庆大学机械工程学院,2009.
Wang Qi-feng. Study on the service-oriented work shop manufacturing system operation mode and supporting technologies[D]. Chongqing: College of Mechanical Engineering,Chongqing University,2009.
[4] 刘日良, 张承瑞, 姜宇,等. 基于 MTConnect 的数控机床网络化监控技术[J]. 计算机集成制造系统, 2013,19(5):1078-1084.
Liu Ri-liang, Zhang Cheng-rui, Jiang Yu,et al. Networked monitoring technology of numberical control machine tools based on MTConnect[J]. Computer Integrated Manufacturing Systems,2013,19(5):1078-1084.
[5] Wu D, Greer M J, Rosen D W, et al. Cloud manufacturing: strategic vision and state-of-the-art[J]. Journal of Manufacturing Systems,2013,32(4):524-579.
[6] Xu X. From cloud computing to cloud manufacturing[J]. Robotics and Computer-Integrated Manufacturing, 2012,28(1):75-86.
[7] 李伯虎,张霖,王时龙,等. 云制造——面向服务的网络化制造新模式[J]. 计算机集成制造系统, 2010,16(1):1-7.
Li Bo-hu,Zhang Lin,Wang Shi-long,et al. Cloud manufacturing: a new service-oriented networked manufacturing model[J]. Computer Integrated Manufacturing Systems, 2010,16(1):1-7.
[8] Ren L, Zhang L, Tao F,et al. Cloud manufacturing: from concept to practice[J]. Enterprise Information Systems,2015,9(2):1-24.
[9] Tao F, Zhang L, Venkatesh V,et al. Cloud manufacturing: a computing and service-oriented manufacturing model[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2011,225(10):1969-1976.
[10] 童亮. 数控机床网络化集成运行模式及关键集成技术研究[D]. 重庆: 重庆大学机械工程学院,2011.
Tong Liang. Study on CNC machine tools networked integration and operation mode and key integration technologies[D].Chongqing: College of Mechanical Engineering,Chongqing University, 2011.
[11] 贺晓辉. 现代作业车间设备运行状态信息的系统特性及采集方法研究[D]. 重庆: 重庆大学机械工程学院,2012.
He Xiao-hui. Research on characteristics and acquisition methods for running-status of job-shop manufacturing equipment[D]. Chongqing:College of Mechanical Engineering,Chongqing University,2012.
[12] Atluru S,Huang S H,Snyder J P. A smart machine supervisory system framework[J]. The International Journal of Advanced Manufacturing Technology,2012,58(5-8):563-572.
[13] Lang H. Remote monitoring and fault diagnosis of an industrial machine through sensor fusion[D]. Vancouver:The University of British Columbia, 2008.
[14] 姜宇.基于 MTConnect 的数控机床监测系统研究[D]. 济南: 山东大学机械工程学院, 2012.
Jiang Yu. Study on state monitoring system of cnc machine tool based on MTConnect[D]. Ji'nan: College of Mechanical Engineering,Shandong University,2012.
[15] 乔巍巍,贾亚洲,张海波,等. 数控系统故障分析及可靠性提高措施[J]. 吉林大学学报:工学版,2006,36(增刊2):69-72.
Qiao Wei-wei, Jia Ya-zhou, Zhang Hai-bo, et al. Failure analysis and reliability enhancement measures of computer numerical computers system[J]. Journal of Jilin University (Engineering and Technology Edition),2006,36(Sup.2):69-72.
[16] 卢艳军. 数控机床状态监测系统的研究[J]. 制造业自动化,2008,30(8):34-36.
Lu Yan-jun. Study on CNC machine tool condition monitoring system[J]. Manufacturing Automation,2008,30(8):34-36.
[17] Garrido C J, Marín M R. Remote maintenance and fault analysis system for custom-made machine[J]. World Congress,2011,18(1): 14976-14981.
[18] 李文川. 数控机床群控系统状态监测及系统集成的研究与实施[D]. 重庆: 重庆大学机械工程学院,2008.
Li Wen-chuan. Study on and implement of state monitoring and system integration for numerical control machine group control system[D]. Chongqing: College of Mechanical Engineering,Chongqing University, 2008.
[19] Torrisi N M, de Oliveira J F G. Remote monitoring for high-speed CNC processes over public IP networks using CyberOPC[J]. The International Journal of Advanced Manufacturing Technology,2012,60(1):191-200.
[20] Torrisi N M, Oliveira J F. Remote control of CNC machines using the CyberOPC communication system over public networks[J]. The International Journal of Advanced Manufacturing Technology, 2008:39(5-6):570-577.
[21] Calabrese F, Buonanno A. Development of a STEP-NC network management protocol for decentralized manufacturing[DB/OL].[2014-01-25]. http://link.springer.com/chapter/10.1007%2F978-1-84882-739-4_14#page-1.
[22] Han J, Du J, Yan X. A new network collaborative manufacturing based on the STEP-NC[C]∥2010 International Conference on Computational Aspects of Social Networks,Taiyuan,2010:620-623.
[23] Han Z Y, Hu P, Han D D, et al. A framework of STEP-NC manufacturing system integrating CAD, CAPP, CAM and CNC[J]. Applied Mechanics and Materials,2012,233:365-368.
[24] Wang X V, Xu X W. DIMP:an interoperable solution for software integration and product data exchange[J]. Enterprise Information Systems, 2012,6(3):291-314.
[25] Newman S, Nassehi A, Xu X, et al. Strategic advantages of interoperability for global manufacturing using CNC technology[J]. Robotics and Computer-Integrated Manufacturing, 2008,24(6):699-708.
[26] 王科. 网络化STEP-NC控制器关键技术研究[D].济南:山东大学机械工程学院,2012.
Wang Ke. Research on the key technology of networked STEP-NC controller[D]. Ji'nan: College of Mechanical Engineering,Shangdong University,2012.
[27] 鄢萍,李超,刘飞. 一种基于宏指令的数控加工进度采集方法[J]. 重庆理工大学学报:自然科学版,2010,24(6):18-22.
Yan Ping, Li Chao,Liu Fei. Automatic collection method of numeral control machining progress information based on macro instruction[J]. Journal of Chongqing University of Technology(Natural Science),2010,24(6):18-22.
[28] Tan V V,Yi M J. Development of an OPC client-server framework for monitoring and control systems[J]. JIPS,2011,7(2):321-340.

相关文章 15

[1]	刘富,宗宇轩,康冰,张益萌,林彩霞,赵宏伟. 基于优化纹理特征的手背静脉识别系统[J]. 吉林大学学报(工学版), 2018, 48(6): 1844-1850.
[2]	王利民,刘洋,孙铭会,李美慧. 基于Markov blanket的无约束型K阶贝叶斯集成分类模型[J]. 吉林大学学报(工学版), 2018, 48(6): 1851-1858.
[3]	金顺福,王宝帅,郝闪闪,贾晓光,霍占强. 基于备用虚拟机同步休眠的云数据中心节能策略及性能[J]. 吉林大学学报(工学版), 2018, 48(6): 1859-1866.
[4]	赵东,孙明玉,朱金龙,于繁华,刘光洁,陈慧灵. 结合粒子群和单纯形的改进飞蛾优化算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1867-1872.
[5]	刘恩泽,吴文福. 基于机器视觉的农作物表面多特征决策融合病变判断算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1873-1878.
[6]	欧阳丹彤, 范琪. 子句级别语境感知的开放信息抽取方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1563-1570.
[7]	刘富, 兰旭腾, 侯涛, 康冰, 刘云, 林彩霞. 基于优化k-mer频率的宏基因组聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1593-1599.
[8]	桂春, 黄旺星. 基于改进的标签传播算法的网络聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1600-1605.
[9]	刘元宁, 刘帅, 朱晓冬, 陈一浩, 郑少阁, 沈椿壮. 基于高斯拉普拉斯算子与自适应优化伽柏滤波的虹膜识别[J]. 吉林大学学报(工学版), 2018, 48(5): 1606-1613.
[10]	车翔玖, 王利, 郭晓新. 基于多尺度特征融合的边界检测算法[J]. 吉林大学学报(工学版), 2018, 48(5): 1621-1628.
[11]	赵宏伟, 刘宇琦, 董立岩, 王玉, 刘陪. 智能交通混合动态路径优化算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[12]	黄辉, 冯西安, 魏燕, 许驰, 陈慧灵. 基于增强核极限学习机的专业选择智能系统[J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[13]	傅文博, 张杰, 陈永乐. 物联网环境下抵抗路由欺骗攻击的网络拓扑发现算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[14]	曹洁, 苏哲, 李晓旭. 基于Corr-LDA模型的图像标注方法[J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.
[15]	侯永宏, 王利伟, 邢家明. 基于HTTP的动态自适应流媒体传输算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1244-1253.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed