基于物联网的选矿制造执行系统技术

doi:10.11959/j.issn.2096-3750.2018.00036

物联网学报 ›› 2018, Vol. 2 ›› Issue (1): 1-16.doi: 10.11959/j.issn.2096-3750.2018.00036

• 前沿与综述 • 下一篇

基于物联网的选矿制造执行系统技术

柴天佑^1,²,丁进良¹,徐泉¹,岳恒²

¹ 东北大学流程工业综合自动化国家重点实验室，辽宁沈阳 110819
² 东北大学国家冶金自动化工程技术研究中心，辽宁沈阳 110819

修回日期:2018-03-05 出版日期:2018-03-01 发布日期:2018-04-19
作者简介:柴天佑（1947-），男，中国工程院院士，东北大学教授、博士生导师，主要研究方向为复杂工业过程智能解耦控制、智能运行反馈控制和综合自动化系统。|丁进良（1976-），男，东北大学教授、博士生导师，主要研究方向为复杂工业过程的智能建模与运行优化控制、制造执行系统MES。|徐泉（1982-），男，东北大学讲师，主要研究方向为制造执行系统、工业云及工业大数据分析、工业过程可视化监控。|岳恒（1968-），男，东北大学教授，主要研究方向为选矿自动化技术及系统、工业物联网、多变量解耦控制及自动化教学。
基金资助:
国家自然科学基金资助项目(61525302);国家高技术研究发展计划（“863”计划）基金资助项目(2015AA043802);工业和信息化部智能制造专项基金资助项目(20171122);沈阳市双百工程基金资助项目(Y17-0-004)

Manufacturing execution system of mineral processing based on Internet of things

Tianyou CHAI^1,²,Jinliang DING¹,Quan XU¹,Heng YUE²

¹ State Key Laboratory of Synthetically Automation for Process Industries,Northeastern University,Shenyang 110819,China
² National Metallurgical Automation Engineering Research Camber,Northeastern University,Shenyang 110819,China

Revised:2018-03-05 Online:2018-03-01 Published:2018-04-19
Supported by:
The National Natural Science Foundation of China(61525302);The National High Technology Research and Development Program of China (863 Program)(2015AA043802);Project of Ministry of Industry and Information Technology of China(20171122);Key Research and Development and Technology Transfer Program Projects of Shenyang(Y17-0-004)

摘要/Abstract

摘要：

针对选矿工业综合自动化系统智能化、网络化、集成化发展的趋势，基于全互联制造网络实现生产全流程一体化控制的实际需求，构建了底层物联网到互联网的纵向无缝融合与集成的选矿过程全互联制造网络总体架构，设计了选矿工业生产中工业大数据的采集、传输和存储架构。在此基础上，研发了基于物联网的选矿智能制造执行系统，并重点讨论了物联网环境下选矿全流程生产指标一体化优化决策、设备安全视频监控与管理、人员车辆定位与跟踪、能源管理和移动与远程监控等新功能。通过在某选矿厂的工业应用验证，表明了基于物联网的选矿智能制造执行系统的有效性。

关键词: 物联网, 云计算, 主动感知, 智能化制造, 制造执行系统

Abstract:

With the development trend of intelligent,networked,integrated in the automation field of mineral processing industry,the longitudinal seamless fusion and integration from the Internet of things to the Internet of the full interconnection manufacturing network of mineral processing were constructed based on the actual demand of the enterprise management and control,data acquisition,transmission,storage and analysis framework were designed for industrial big data generated from mineral processing,the intelligent manufacturing execution system based on the Internet of things and the industrial cloud was developed.The new functions of integrated process production index optimization and decision making,equipment safety video surveillance and management,personnel vehicle location and tracking,energy management,mobile and remote monitoring,and so on were discussed.The manufacturing execution system based on the Internet of things and the industrial cloud was implemented and used in an iron and steel group.The effectiveness of the MES is verified.

Key words: Internet of things, cloud computing, active perceiving, intelligent manufacturing, manufacturing execution system

中图分类号:

TP343.4

柴天佑,丁进良,徐泉,岳恒. 基于物联网的选矿制造执行系统技术[J]. 物联网学报, 2018, 2(1): 1-16.

Tianyou CHAI,Jinliang DING,Quan XU,Heng YUE. Manufacturing execution system of mineral processing based on Internet of things[J]. Chinese Journal on Internet of Things, 2018, 2(1): 1-16.

图/表 15

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

图11

图12

图13

图14

图15

参考文献 23

[1]	MESA. Execution-driven manufacturing management for competitive advantage[M]. Pittsburgh:MESA International-White Paper Number5, 1997.
[2]	黄肖玲, 初延刚, 李慧莹 ,等. 选矿制造执行系统的研究与应用[J]. 计算机集成制造系统, 2004(9): 1079-1083.
	HUANG X L , CHU Y G , LI H Y ,et al. Study and application of ore concentration manufacturing execution system[J]. Computer Integrated Manufacturing System, 2004(9): 1079-1083.
[3]	柴天佑, 郑秉霖, 胡毅 ,等. 制造执行系统的研究现状和发展趋势[J]. 控制工程, 2005,12(6): 505-510.
	CHAI T Y , ZHENG B L , HU Y ,et al. Current research situation and development of manufacturing execution system[J]. Control Engineering of China, 2005,12(6): 505-510.
[4]	张映锋, 赵曦滨, 孙树栋 ,等. 一种基于物联技术的制造执行系统实现方法与关键技术[J]. 计算机集成制造系统, 2012,18(12): 2634-2642.
	ZHANG Y F , ZHAO X B , SUN S D ,et al. Implementing method and key technologies for IoT-based manufacturing execution system[J]. Computer Integrated Manufacturing System, 2012,18(12): 2634-2642.
[5]	CHUI M , L?FFLER M , ROGER R . The Internet of things[J]. McKinsey Quarterly, 2010(2): 1-9.
[6]	沈苏彬, 范曲立, 宗平 ,等. 物联网的体系结构与相关技术研究[J]. 南京邮电大学学报(自然科学版), 2009(6): 1-11.
	SHEN S B , FAN Q L , ZONG P ,et al. Study on the architecture and associated technologies for Internet of things[J]. Journal of Nanjing of Posts and Telecommunications(Natural Science), 2009(6): 1-11.
[7]	BUGHIN J , CHUI M , MANYIKA J . Clouds,big data,and smart assets:ten tech-enabled business trends to watch[J]. Mckinsey Quarterly, 2010,56(1): 75-86.
[8]	罗军舟, 金嘉晖, 宋爱波 ,等. 云计算:体系架构与关键技术[J]. 通信学报, 2011(7): 3-21.
	LUO J Z , JIN J H , SONG A B ,et al. Cloud computing:architecture and key technologies[J]. Journal on Communications, 2011(7): 3-21.
[9]	DEAN J , GHEMAWAT S . MapReduce:simplified data processing on large clusters[J]. ACM, 2008,51(1): 107-113.
[10]	张引, 陈敏, 廖小飞 . 大数据应用的现状与展望[J]. 计算机研究与发展, 2013(S2): 216-233.
	ZHANG Y , CHEN M , LIAO X F . Big data application:a survey[J]. Journal of Computer Research and Development, 2013(S2): 216-233.
[11]	中国科学院先进制造领域战略研究组.中国至2050年先进制造科技发展路线图[M]. 北京: 科学出版社, 2009.
	Group of the strategic research on the advanced manufacturing field. Development route of the advanced manufacturing field in China from now to 2050[M]. Beijing:Science Press, 2009.
[12]	韩江, 朱念恩, 夏链 . 基于移动物联网的人机协同制造研究[J]. 轻工机械 2011,29(6): 50-52.
	HAN J , ZHU N E , XIA L . Research on man-machine coordinated manufacturing mode based on mobile substance Internet[J]. Light Industry Machinery, 2011,29(6): 50-52.
[13]	王云 . 面向云制造的制造执行系统优化技术及其在机床生产企业中的应用[D]. 杭州:浙江大学, 2011.
	WANG Y . Optimization technologies of manufacturing execution system in cloudy manufacturing and applications in machine production enterprise[D]. Hangzhou:Zhejiang University, 2011.
[14]	HELO P , SUORSA M , HAO Y ,et al. Toward a cloud-based manufacturing execution system for distributed manufacturing[J]. Computers in Industry, 2014,65(4): 646-656.
[15]	李孝斌, 尹超 . 面向生产过程云服务的制造执行系统[J]. 计算机集成制造系统, 2016(1): 177-188.
	LI X B , YIN C . Manufacturing execution system oriented to production process cloud service[J]. Computer Integrated Manufacturing System, 2016(1): 177-188.
[16]	JIANG L , CAI H , JIANG Z ,et al. An IoT-oriented data storage framework in cloud computing platform[J]. IEEE Transactions on Industrial Informatics, 2014,10(2): 1443-1451.
[17]	GEORGE L . HBase:the definitive guide[J]. Andre, 2011,12(1): 1-4.
[18]	CHAI T Y , DING J L , YU G ,et al. Integrated optimization for the automation systems of mineral processing[J]. IEEE Transactions on Automation Science and Engineering, 2014,11(4): 965-982.
[19]	YU G , CHAI T Y , LUO X C . Multiobjective production planning optimization using hybrid evolutionary algorithms for mineral processing[J]. IEEE Transactions on Evolutionary Computation, 2011,15(4): 487-514.
[20]	YU G , CHAI T Y , LUO X C . Two-level production plan decomposition based on a hybrid MOEA for mineral processing[J]. IEEE Transactions on Automation Science and Engineering, 2013,10(4): 1050-1071.
[21]	DING J L , MODARES H , CHAI T Y ,et al. Data-based multi-objective plant-wide performance optimization of Industrial processes under dynamic environments[J]. IEEE Transactions on Industrial Informatics, 2016,12(2): 454-465.
[22]	DING J L , CHAI T Y , WANG H . Knowledge-based global operation of mineral processing under uncertainty[J]. IEEE Transactions on Industrial Informatics, 2012,8(4): 849-859.
[23]	DING J L , CHAI T Y , WANG H . Offline modeling for product quality prediction of mineral processing using modeling error PDF shaping and entropy minimization[J]. IEEE Transactions on Neural Networks, 2011,22(3): 408-419.

基于物联网的选矿制造执行系统技术

Manufacturing execution system of mineral processing based on Internet of things

在线阅读

PDF下载

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 23

相关文章 15

Metrics

推荐阅读 0

[1]	吴靖, 李晟, 张景, 辛明, 陶若文, 周舟, 潘力佳, 施毅. 面向物联网的新型柔性传感器[J]. 物联网学报, 2023, 7(2): 1-14.
[2]	梁峻阁, 宋怡然, 孙杨帆, 计樱莹, 潘力佳, 施毅. 基于可穿戴与可植入技术的人体健康物联网研究进展[J]. 物联网学报, 2023, 7(2): 26-34.
[3]	耿光磊, 高博, 熊轲, 樊平毅, 陆杨, 王煜炜. 联邦学习赋能6G网络综述[J]. 物联网学报, 2023, 7(2): 50-66.
[4]	卫浓钰, 江子龙, 陈芳炯. 基于位置信息和能量均衡的声电协同网络AODV[J]. 物联网学报, 2023, 7(1): 27-36.
[5]	申滨, 李银波, 梁枭伟. 基于增强加权质心定位的认知物联网用户频谱接入控制[J]. 物联网学报, 2023, 7(1): 93-108.
[6]	汪静, 何乐生, 李忠红, 李路迟, 杨航. 物联网轻量级认证加密算法ASCON的软硬件协同设计[J]. 物联网学报, 2022, 6(4): 139-148.
[7]	蒋伟进, 罗田甜, 杨莹, 李恩, 周文颖. 物联网环境下基于区块链技术的私有数据访问控制模型[J]. 物联网学报, 2022, 6(4): 169-182.
[8]	邢方圆, 贺诗波, 孙铭阳, 陈积明. 基于“云-管-边-端”物联网架构的碳排放监测[J]. 物联网学报, 2022, 6(4): 53-64.
[9]	张在琛, 尤肖虎, 党建, 吴亮, 朱秉诚, 陈绩, 汪磊. 无线光通信与物联网[J]. 物联网学报, 2022, 6(3): 1-13.
[10]	黄诺, 刘伟杰, 龚晨. 面向工业物联网的拍赫兹通信[J]. 物联网学报, 2022, 6(3): 37-46.
[11]	孙君, 赵尚维康. 工业物联网中基于Sarsa算法的节能计算卸载方案[J]. 物联网学报, 2022, 6(3): 82-90.
[12]	刘杨, 李崔灿, 彭木根. 低功耗水下物联网：愿景与关键技术[J]. 物联网学报, 2022, 6(2): 1-9.
[13]	杨靖, 谢金凤, 陈怡. 我国智慧城市场景中物联网终端评测与认证体系研究[J]. 物联网学报, 2022, 6(2): 26-37.
[14]	罗丹, 徐茹枝, 关志涛. 物联网环境中基于深度学习的差分隐私预算优化方法[J]. 物联网学报, 2022, 6(2): 65-76.
[15]	罗梓珲, 江呈羚, 刘亮, 郑霄龙, 马华东. 基于深度强化学习的智能车间调度方法研究[J]. 物联网学报, 2022, 6(1): 53-64.