ASPIE: A Framework for Active Sensing and Processing of Complex Events in the Internet of Manufacturing Things

Rapid perception and processing of critical monitoring events are essential to ensure healthy operation of Internet of Manufacturing Things (IoMT)-based manufacturing processes. In this paper, we proposed a framework (active sensing and processing architecture (ASPIE)) for active sensing and processing of critical events in IoMT-based manufacturing based on the characteristics of IoMT architecture as well as its perception model. A relation model of complex events in manufacturing processes, together with related operators and unified XML-based semantic definitions, are developed to effectively process the complex event big data. A template based processing method for complex events is further introduced to conduct complex event matching using the Apriori frequent item mining algorithm. To evaluate the proposed models and methods, we developed a software platform based on ASPIE for a local chili sauce manufacturing company, which demonstrated the feasibility and effectiveness of the proposed methods for active perception and processing of complex events in IoMT-based manufacturing.

[1]  Hou Rui-chu.  Internet of manufacturing things and relevant technical architecture , 2014 .

[2]  Kurt Rothermel,et al.  Cordies: expressive event correlation in distributed systems , 2010, DEBS '10.

[3]  François Brémond,et al.  Probabilistic Recognition of Complex Event , 2011, ICVS.

[4]  Zhu Yu-xuan.  Semantic analysis of discrete shop logistics real-time data oriented to ubiquitous computing-based intelligent manufacturing , 2012 .

[5]  Mika Liukkonen,et al.  RFID technology in manufacturing and supply chain , 2015, Int. J. Comput. Integr. Manuf..

[6]  Alessandro Margara,et al.  Processing flows of information: From data stream to complex event processing , 2012, CSUR.

[7]  Stéphane Lafortune,et al.  Overview of fault diagnosis methods for Discrete Event Systems , 2013, Annu. Rev. Control..

[8]  Radislav A. Potyrailo,et al.  RFID sensors as the common sensing platform for single-use biopharmaceutical manufacturing , 2011 .

[9]  Xiaoming Zhang,et al.  Complex Event Processing over distributed probabilistic event streams , 2012, FSKD.

[10]  Ion Stoica,et al.  Trends and Challenges in Big Data Processing , 2016, Proc. VLDB Endow..

[11]  Lin Nan,et al.  A Novel Distributed Complex Event Processing for RFID Application , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

[12]  Christian Brecher,et al.  Industrial Internet of Things and Cyber Manufacturing Systems , 2017 .

[13]  Fan Yu-shun.  Complex event processing of manufacturing enterprises based on smart items , 2007 .

[14]  Ali Vatankhah Barenji,et al.  A multi-agent RFID-enabled distributed control system for a flexible manufacturing shop , 2014 .

[15]  Reynold Xin,et al.  Apache Spark , 2016 .

[16]  Pablo Basanta-Val,et al.  T-Hoarder: A framework to process Twitter data streams , 2017, J. Netw. Comput. Appl..

[17]  Joe Cecil,et al.  An Internet of Things (IoT)-based collaborative framework for advanced manufacturing , 2015, The International Journal of Advanced Manufacturing Technology.

[18]  Zhihan Lv,et al.  Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics , 2017, IEEE Transactions on Industrial Informatics.

[19]  Frank L. Lewis,et al.  Discrete-Event Shop-Floor Monitoring System in RFID-Enabled Manufacturing , 2014, IEEE Transactions on Industrial Electronics.

[20]  Andy J. Wellings,et al.  Architecting Time-Critical Big-Data Systems , 2016, IEEE Transactions on Big Data.

[21]  Chuanzhen Zang.  Complex event processing of real time enterprises based on Smart Items , 2007 .

[22]  Fan Yu-shun.  COMPLEX EVENT PROCESSING OF REAL TIME ENTERPRISES BASED ON SMART ITEMS , 2007 .

[23]  Fei Tao,et al.  IIHub: An Industrial Internet-of-Things Hub Toward Smart Manufacturing Based on Cyber-Physical System , 2018, IEEE Transactions on Industrial Informatics.

[24]  Andy J. Wellings,et al.  Improving the predictability of distributed stream processors , 2015, Future Gener. Comput. Syst..

[25]  Yingfeng Zhang,et al.  Real-time information capturing and integration framework of the internet of manufacturing things , 2015, Int. J. Comput. Integr. Manuf..

[26]  Yongheng Wang,et al.  Plan Based Distributed Complex Event Processing for RFID Application , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

[27]  George Q. Huang,et al.  RFID-based wireless manufacturing for real-time management of job shop WIP inventories , 2008 .

[28]  António Grilo,et al.  Factories of the future: challenges and leading innovations in intelligent manufacturing , 2017, Int. J. Comput. Integr. Manuf..

[29]  P. Balamuralidhar,et al.  Person tracking using Kalman Filter in Wireless Sensor Network , 2010, ICoAC 2010.

[30]  Stephan Biller,et al.  Event-based modelling of distributed sensor networks in battery manufacturing , 2014 .

[31]  K.L. Choy,et al.  A Real-time Manufacturing Risk Management System: An Integrated RFID Approach , 2007, PICMET '07 - 2007 Portland International Conference on Management of Engineering & Technology.

[32]  Vicente Ferreira de Lucena,et al.  Synchronising operations on productive systems modelled by timed event graphs , 2016 .

[33]  Fei Tao,et al.  IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing , 2014, IEEE Transactions on Industrial Informatics.

[34]  Yao Xi-fa.  Connotation,architecture and key technologies of Internet of manufacturing things , 2014 .

[35]  George Q. Huang,et al.  Event-driven multi-agent ubiquitous manufacturing execution platform for shop floor work-in-progress management , 2013 .

[36]  Cathal Heavey,et al.  ManPy: an open‐source software tool for building discrete event simulation models of manufacturing systems , 2016, Softw. Pract. Exp..

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

[38]  Dawn M. Tilbury,et al.  Anomaly Detection Using Model Generation for Event-Based Systems Without a Preexisting Formal Model , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[39]  Adrian Paschke,et al.  Semantic Rule-Based Complex Event Processing , 2009, RuleML.

[40]  Duncan McFarlane,et al.  RFID opportunity analysis for leaner manufacturing , 2010 .

[41]  Joaquin Alder Silva-Faundez,et al.  An Anticipatory Control for a Flexible Manufacturing System Based on the Perception of Mobile Units Using WSNs , 2015, Int. J. Comput. Commun. Control.