A study on the architecture of manufacturing internet of things

Manufacturing internet of things (MIoT) is an important means to upgrade the traditional manufacturing operational framework and information/material flow. This paper proposes a creative architecture of MIoT for advanced complex manufacturing processes, which accommodates those factors frequently encountered in operation and management, such as dynamic, large-scale, complex, heterogeneous, strong uncertainty and diverse optimisation objectives. With layered technologies of reliable sensing, real-time transmission, pervasive computing, precise controlling and trusted service based on MIoT, this new proposal attempts to achieve precise scheduling and controlling of a whole manufacturing process and to provide effective dynamic information services. For the whole manufacturing process, the proposed architecture and the related key technologies have been comprehensively taken into account for the main issues which should be focused on and solved in every aspect such as data collection, network transmission, data processing, manufacturing process control and information service. It is hoped that the study can provide useful reference for future academic researches and potential industrial applications of MIoT.

[1]  Chen Hai,et al.  A Comparative Study on Architectures and Implementation Methodologies of Internet of Things , 2013 .

[2]  Yu Meng,et al.  Gemini: A green deployment scheme for Internet of things , 2013, 2013 22nd Wireless and Optical Communication Conference.

[3]  Yang Li,et al.  Adaptive neural network control for a class of strict feedback non-linear time delay systems , 2014, Int. J. Model. Identif. Control..

[4]  J. Portilla,et al.  Embedded Runtime Reconfigurable Nodes for Wireless Sensor Networks Applications , 2011, IEEE Sensors Journal.

[5]  Meie Shen,et al.  Optimizing RFID Network Planning by Using a Particle Swarm Optimization Algorithm With Redundant Reader Elimination , 2012, IEEE Transactions on Industrial Informatics.

[6]  Yu Ming Mao,et al.  A Structure of Large Scale WSN Based Safety Monitoring System for Natural Gas Industry , 2012 .

[7]  Ping Li,et al.  A gap metric based nonlinearity measure for chemical processes , 2009, 2009 American Control Conference.

[8]  Wu He,et al.  Internet of Things in Industries: A Survey , 2014, IEEE Transactions on Industrial Informatics.

[9]  Jaydip Sen,et al.  Internet of Things - Applications and Challenges in Technology and Standardization , 2011 .

[10]  Jiannong Cao,et al.  Application mobility in pervasive computing: A survey , 2013, Pervasive Mob. Comput..

[11]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[12]  Song Han,et al.  WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control , 2008, 2008 IEEE Real-Time and Embedded Technology and Applications Symposium.

[13]  Hou Zhong,et al.  On Data-driven Control Theory:the State of the Art and Perspective , 2009 .

[14]  Yusnani Mohd Yussoff,et al.  Performance analysis of Wireless Sensor Network , 2009, 2009 5th International Colloquium on Signal Processing & Its Applications.

[15]  Zhang Lin,et al.  Further discussion on cloud manufacturing , 2011 .

[16]  Guanrong Chen,et al.  Problems and Challenges in Control Theory under Complex Dynamical Network Environments , 2013 .

[17]  Detlef Zühlke,et al.  SmartFactory - Towards a factory-of-things , 2010, Annu. Rev. Control..

[18]  Gerhard P. Hancke,et al.  Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches , 2009, IEEE Transactions on Industrial Electronics.

[19]  Lars Michael Kristensen,et al.  An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges , 2014, IEEE Communications Surveys & Tutorials.

[20]  U. N. Okorafor,et al.  Security and Privacy for Distributed Multimedia Sensor Networks , 2008, Proceedings of the IEEE.

[21]  Qiang Ji,et al.  Event Detection in Complex Scenes Using Interval Temporal Constraints , 2013, 2013 IEEE International Conference on Computer Vision.

[22]  Nicu Sebe,et al.  Complex Event Detection via Multi-source Video Attributes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Gerhard P Hancke,et al.  Introduction to Industrial Control Networks , 2013, IEEE Communications Surveys & Tutorials.

[24]  Wei Xing Zheng,et al.  H∞ filter design for nonlinear networked control systems with uncertain packet-loss probability , 2012, Signal Process..

[25]  Jiyun Zhao,et al.  Valve-pump parallel control of hydraulic motor speed servos with large power , 2014, Int. J. Model. Identif. Control..

[26]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[27]  Charalabos Skianis,et al.  A Survey on Context-Aware Mobile and Wireless Networking: On Networking and Computing Environments' Integration , 2013, IEEE Communications Surveys & Tutorials.

[28]  Sajal K. Das,et al.  Routing Correlated Data in Wireless Sensor Networks: A Survey , 2007, IEEE Network.

[29]  Zhang Ying-feng.  Implementing method and key technologies for IoT-based manufacturing execution system , 2012 .

[30]  R. Rakkiyappan,et al.  Delay-dependent stability criterion for a class of non-linear singular Markovian jump systems with mode-dependent interval time-varying delays , 2012 .

[31]  Fatiha Zidani,et al.  Research on improvement of FOC system for induction motor using fuzzy logic , 2014, Int. J. Model. Identif. Control..

[32]  Lin Lin Liu,et al.  Multi-Hierarchical Model Predictive Control Based on K-Means Clustering Algorithms , 2011 .

[33]  Zhou Zude,et al.  Typical characteristics,technologies and applications of cloud manufacturing , 2012 .

[34]  Latanya Sweeney,et al.  k-Anonymity: A Model for Protecting Privacy , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[35]  Mohan Kumar,et al.  Pervasive and Mobile Computing ( ) – Pervasive and Mobile Computing Middleware for Pervasive Computing: a Survey , 2022 .

[36]  Quanmin Zhu,et al.  Sliding mode control of uncertain switch systems with time-delay and disturbance , 2014, Int. J. Model. Identif. Control..