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Integration of Advanced Monitoring in Manufacturing Systems

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Novel concept of monitoring systems integration, reference models and test application for manufacturing are presented in the paper. Research results are an answer for industry needs for development of IT solutions that will allow to integrate information flow in production systems. The idea of standalone advanced monitoring devices connection with Shop Floor Control, MRP/ERP and machine operators is discussed. The concept of monitoring systems integration has been formally described by reference models. They corresponds with original multilayer data structure proposed on the base of data tree. Data model allows to describe orders, products, processes and to save monitoring results. Both kind of models has been the base for implementation of the integrated monitoring system demonstrator. The demonstrator developed in the frame of research was built on the base of multiagent technology. It allows to keep high flexibility and openness of the system, as well as easy implementation of various intelligent algorithms for data processing. Currently, an application of integrated monitoring system for real production system is developed. The main problems and future development of monitoring integration in discrete production are presented and discussed in the article.
Rocznik
Strony
55--68
Opis fizyczny
Bibliogr. 30 poz., tab., rys.
Twórcy
autor
  • Warsaw University of Technology, Institute of Manufacturing Technology, Warsaw, Poland
Bibliografia
  • [1] BALAZINSKI M., CZOGALA E., JEMIELNIAK K., LESKI J., 2002, Tool condition monitoring using artificial intelligence methods, Engineering Applications of Artificial Intelligence, 15/1, 73–80.
  • [2] BYRNE G., DORNFELD D., INASAKI I., KONIG W., TETI R., 1995, Tool condition monitoring – The status of research and industrial application, CIRP Annals, 44/2, 541–567.
  • [3] CAMPOS J., 2009, Development in the application of ICT in condition monitoring and maintenance, Computers in Industry 60, 1–20.
  • [4] CHAND S., DAVIS J.F., 2010, The smart manufacturing revolution, Manufacturing Executive Leadership Journal, November.
  • [5] COE N., HESS M., 2013, Global production networks, labour and development, Geoforum, 44, 4–9.
  • [6] DAVIS J.F., EDGAR T, PORTER J, BERNADEN J., SARLI M., 2012, Smart manufacturing, manufacturing intelligence and demand, dynamic performance, Computers & Chemical Engineering, 47, 145–156.
  • [7] DESFORGES X., ARCHIMEDE B., 2006, Multi-agent framework based on smart sensors/actuators for machine tools control and monitoring, Eng. Appl. Artif. Intell. 19/6, 641–655.
  • [8] KOTEN J. 2013, A Revolution in the Making - Digital technology is transforming manufacturing, making it leaner and smarter—and raising the prospect of an American industrial revival, The Wall Street Journal, June.
  • [9] JEMIELNIAK K., ARRAZOLA P.J., 2008, Application of AE and cutting force signals in tool condition monitoring in micro-milling, CIRP Journal of Manufacturing Science and Technology, 1/2, 97–102.
  • [10] JEMIELNIAK K., 2001, Some aspects of acoustic emission signal pre-processing, Journal of Materials Processing Technology, 109/3, 242–247.
  • [11] JEMIELNIAK, K., 2012, Automatyczna diagnostyka ostrzy narzędzi skrawających, Inżynieria Maszyn, 17, 17–29.
  • [12] LIU C., LI Y., SHEN W., 2014, Integration of process monitoring and inspection based on agents and manufacturing features, Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 208–213.
  • [13] MANGINA E., MCARTHUR S., MCDONALD J., MOYES A., 2001, A multi agent system for monitoring industrial gas turbine start-up sequences, IEEE Transactions on Power Systems, 16, 396–401.
  • [14] MONOSTORI L., VÁNCZA J., KUMARA S.R.T., 2006, Agent-Based Systems for Manufacturing, CIRP Annals - Manufacturing Technology, 55/2, 697–720.
  • [15] MOURTZIS D., 2011, Internet based collaboration in the manufacturing supply chain, CIRP Journal of Manufacturing Science and Technology, 4, 296–304.
  • [16] NAGALINGAM S., LIN G., 2008, CIM—still the solution for manufacturing industry, Robotics and Computer-Integrated Manufacturing, 24, 332–344.
  • [17] NATIONAL SCIENCE FOUNDATION, 2015, Cyber-Physical Systems (CPS), www.nsf.gov/funding/pgm_summ. jsp?pims_id=503286
  • [18] OBORSKI P., 2003, Social-technical aspects in modern manufacturing, The International Journal of Advanced Manufacturing Technology, 22, 848–854.
  • [19] OBORSKI P., 2004, Man-machine interactions in advanced manufacturing systems, The International Journal of Advanced Manufacturing Technology, 23, 227–232.
  • [20] OBORSKI P., 2010, Multiagent shop floor control, Advances in Manufacturing Science and Technology, 34/3, 61–72.
  • [21] OBORSKI P., 2012, Przemiany zachodzące w przedsiębiorstwach produkcyjnych, Inżynieria Maszyn, 17/1, 7–16.
  • [22] OBORSKI P., 2013, Integracja nadzoru procesu i obrabiarki w oparciu o zaawansowane systemy informatyczne, Mechanik, 8-9, 411–418/714.
  • [23] OBORSKI P., 2014, Developments in integration of advanced monitoring systems, The International Journal of Advanced Manufacturing Technology, 75/9-12, 1613–1632.
  • [24] PARK K.J., ZHENG R., LIU X., 2012, Cyber-physical systems Milestones and research challenges, Computer Communications, 36, 1–7.
  • [25] PARK S., 2004, High frequency bandwidth cutting force measurements in milling using the spindle force sensor system. PhD thesis, University of British Columbia, Vancouver, Canada.
  • [26] RIBEIRO L., BARATA J., 2011, Re-thinking diagnosis for future automation systems: An analysis of current diagnostic practices and their applicability in emerging IT based production paradigms, Computers in Industry, 62, .639–659.
  • [27] TETI R., JEMIELNIAK K., O’DONNELL G., DORNFELD D., 2010, Advanced monitoring of machining operations, CIRP Annals - Manufacturing Technology, 59, 717–739.
  • [28] WANG L., 2013, Machine availability monitoring and machining process planning towards Cloud manufacturing, CIRP Journal of Manufacturing Science and Technology, 6/4, 263–273.
  • [29] WAVERING A.J., 2013, Foundation for Innovation: Strategic R&D Opportunities for 21th Century Cyber-Physical Systems, National Instution for Standardisation and Technology, Report January 2013.
  • [30] VAN VEEN-DIRKS P., 2005, Management control and the production environment: A review, Int. J. Production Economics, 93–94, 263–272.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e37ee18b-be6b-4833-a208-3a80b9a8688b
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