[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Battery Monitoring Within Industry 4.0 Landscape: Solution as a Service (SaaS) for Industrial Power Unit Systems

  • Conference paper
  • First Online:
Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2017, NsCC 2017, NEW2AN 2017)

Abstract

The current globalization already faces the challenge of meeting the continuously growing demand for new consumer goods by simultaneously ensuring a sustainable evolution of human existence. The industrial value creation must be geared towards sustainability. In order to overcome this challenge, tightly coupling the production and its axiomatization processes is required in the paradigm of Industry 4.0. This technology bridges together a vast amount of new interconnected smart devices being mostly battery powered. Batteries are the heart of industrial motive power and electric energy storing solutions in the infrastructures of today. The charges related to the batteries are among the biggest cost (2.000–5.000 EUR per unit). Unfortunately, the batteries are not always treated properly and the badly managed ones lose their ability to store energy quickly. In this work, we present the developed modular Cloud solution utilizing Solution as a Service (SaaS) to monitor and manage industrial power unit systems. Modular approach is realized using simple miniature non-intrusive wireless sensors combined with cloud platform that provides the battery intelligence.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    See “Five fundamental considerations for a battery-powered, wireless IoT sensor product”, 2016: http://www.silabs.com/whitepapers/battery-life-in-connected-wireless-iot-devices.

  2. 2.

    See “AWS IoT – Amazon Web Services”, 2017: https://aws.amazon.com/iot/.

  3. 3.

    See “AWS Lambda – Serverless Compute – Amazon Web Services”, 2017: https://aws.amazon.com/lambda/.

  4. 4.

    See “IoT-Ticket, the Office Suite for Internet of things”, 2017: https://iot-ticket.com/.

  5. 5.

    See “Industrial Batteries Motive Power Economical robust reliable EPzS series”: http://www.sue.ba/sue/files/file/classic/Classic_EPzS_int.pdf.

References

  1. Hermann, M., Pentek, T., Otto, B.: Design principles for industrie 4.0 scenarios. In: Proceedings of 49th Hawaii International Conference on System Sciences (HICSS), pp. 3928–3937. IEEE (2016)

    Google Scholar 

  2. Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., Harnisch, M.: Industry 4.0: the future of productivity and growth in manufacturing industries. Boston Consulting Group, p. 14 (2015)

    Google Scholar 

  3. Schmidt, R., Möhring, M., Härting, R.-C., Reichstein, C., Neumaier, P., Jozinović, P.: Industry 4.0 - potentials for creating smart products: empirical research results. In: Abramowicz, W. (ed.) BIS 2015. LNBIP, vol. 208, pp. 16–27. Springer, Cham (2015). doi:10.1007/978-3-319-19027-3_2

    Chapter  Google Scholar 

  4. Stock, T., Seliger, G.: Opportunities of sustainable manufacturing in Industry 4.0. In: Proceedings of CIRP Conference, vol. 40, pp. 536–541 (2016)

    Google Scholar 

  5. Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M., Vasilakos, A.V.: Software-defined industrial Internet of Things in the context of Industry 4.0. IEEE Sens. J. 16(20), 7373–7380 (2016)

    Article  Google Scholar 

  6. VNI Cisco: Global mobile data traffic forecast 2016–2021. White Paper (2017)

    Google Scholar 

  7. Stusek, M., Masek, P., Kovac, D., Ometov, A., Hosek, J., Kröpfl, F., Andreev, S.: Remote management of intelligent devices: using TR-069 protocol in IoT. In: Proceedings of 39th International Conference on Telecommunications and Signal Processing (TSP), pp. 74–78. IEEE (2016)

    Google Scholar 

  8. Ometov, A., Bezzateev, S., Kannisto, J., Harju, J., Andreev, S., Koucheryavy, Y.: Facilitating the delegation of use for private devices in the era of the internet of wearable things. IEEE Internet Things J. (2017)

    Google Scholar 

  9. Gerasimenko, M., Petrov, V., Galinina, O., Andreev, S., Koucheryavy, Y.: Energy and delay analysis of LTE-advanced RACH performance under MTC overload. In: Proceedings of IEEE Globecom Workshops (GC Workshops), pp. 1632–1637. IEEE (2012)

    Google Scholar 

  10. Seitz, C.W.: Industrial battery technologies and markets. IEEE Aerospace Electron. Syst. Mag. 9(5), 10–15 (1994)

    Article  Google Scholar 

  11. Renquist, J.V., Dickman, B., Bradley, T.H.: Economic comparison of fuel cell powered forklifts to battery powered forklifts. Int. J. Hydrogen Energy 37(17), 12054–12059 (2012)

    Article  Google Scholar 

  12. Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Comput. Netw. 52(12), 2292–2330 (2008)

    Article  Google Scholar 

  13. Gungor, V.C., Hancke, G.P.: Industrial wireless sensor networks: challenges, design principles, and technical approaches. IEEE Trans. Indus. Electron. 56(10), 4258–4265 (2009)

    Article  Google Scholar 

  14. Parwekar, P.: From Internet of Things towards cloud of things. In: Proceedings of 2nd International Conference on Computer and Communication Technology (ICCCT), pp. 329–333. IEEE (2011)

    Google Scholar 

  15. Shrouf, F., Ordieres, J., Miragliotta, G.: Smart factories in Industry 4.0: a review of the concept and of energy management approached in production based on the Internet of Things paradigm. In: Proceedings of International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 697–701. IEEE (2014)

    Google Scholar 

  16. Masek, P., Masek, J., Frantik, P., Fujdiak, R., Ometov, A., Hosek, J., Andreev, S., Mlynek, P., Misurec, J.: A harmonized perspective on transportation management in smart cities: the novel IoT-driven environment for road traffic modeling. Sensors 16(11), 1872 (2016)

    Article  Google Scholar 

  17. Fujdiak, R., Masek, P., Mlynek, P., Misurec, J., Olshannikova, E.: Using genetic algorithm for advanced municipal waste collection in smart city. In: Proceedings of 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), pp. 1–6. IEEE (2016)

    Google Scholar 

  18. Ceraolo, M.: New dynamical models of lead-acid batteries. IEEE Trans. Power Syst. 15(4), 1184–1190 (2000)

    Article  Google Scholar 

  19. Sharaf, H.: Method of testing the capacity of a lead-acid battery. US Patent 3,808,522 (1974)

    Google Scholar 

  20. Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)

    Google Scholar 

  21. Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization, decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. Int. J. Mech. Indus. Sci. Eng. 8(1), 37–44 (2014)

    Google Scholar 

  22. Grankin, M., Khavkina, E., Ometov, A.: Research of MEMS accelerometers features in mobile phone. In: Proceedings of the 12th Conference of Open Innovations Association FRUCT; Oulu, Finland, pp. 31–36 (2012)

    Google Scholar 

  23. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of Things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutorials 17(4), 2347–2376 (2015)

    Article  Google Scholar 

  24. Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., Leung, K.: A survey on the IETF protocol suite for the Internet of Things: standards, challenges, and opportunities. IEEE Wireless Commun. 20(6), 91–98 (2013)

    Article  Google Scholar 

  25. Masek, P., Hosek, J., Zeman, K., Stusek, M., Kovac, D., Cika, P., Masek, J., Andreev, S., Kröpfl, F.: Implementation of true IoT vision: survey on enabling protocols and hands-on experience. Int. J. Distrib. Sens. Netw. (2016)

    Google Scholar 

  26. Bandyopadhyay, S., Sengupta, M., Maiti, S., Dutta, S.: A survey of middleware for Internet of Things. In: Özcan, A., Zizka, J., Nagamalai, D. (eds.) Recent Trends in Wireless and Mobile Networks, vol. 162, pp. 288–296. Springer, Heidelberg (2011). doi:10.1007/978-3-642-21937-5_27

  27. Bandyopadhyay, S., Sengupta, M., Maiti, S., Dutta, S.: Role of middleware for Internet of Things: a study. Int. J. Comput. Sci. Eng. Surv. 2(3), 94–105 (2011)

    Article  Google Scholar 

  28. Jeschke, S., Brecher, C., Song, H., Rawat, D.B.: Industrial Internet of Things. Springer, Cham (2017)

    Book  Google Scholar 

  29. Olshannikova, E., Ometov, A., Koucheryavy, Y., Olsson, T.: Visualizing big data. In: Big Data Technologies and Applications, pp. 101–131. Springer, Cham (2016). doi:10.1007/978-3-319-44550-2_4

  30. Olshannikova, E., Ometov, A., Koucheryavy, Y.: Towards big data visualization for augmented reality. In: Proceedings of 16th Conference on Business Informatics (CBI), vol. 2, pp. 33–37. IEEE (2014)

    Google Scholar 

  31. Olshannikova, E., Ometov, A., Koucheryavy, Y., Olsson, T.: Visualizing big data with augmented and virtual reality: challenges and research agenda. J. Big Data 2(1), 22 (2015)

    Article  Google Scholar 

  32. Heer, T., Garcia-Morchon, O., Hummen, R., Keoh, S.L., Kumar, S.S., Wehrle, K.: Security challenges in the IP-based Internet of Things. Wireless Pers. Commun. 61(3), 527–542 (2011)

    Article  Google Scholar 

  33. Buxmann, P., Hess, T., Lehmann, S.: Software as a service. Wirtschaftsinformatik 50(6), 500–503 (2008)

    Article  Google Scholar 

  34. Dubey, A., Wagle, D.: Delivering software as a service. McKinsey Q. 6(2007), 2007 (2007)

    Google Scholar 

  35. Ometov, A.: Fairness characterization in contemporary IEEE 802.11 deployments with saturated traffic load. In: Proceedings of 15th Conference of Open Innovations Association FRUCT, pp. 99–104. IEEE (2014)

    Google Scholar 

  36. Condoluci, M., Militano, L., Orsino, A., Alonso-Zarate, J., Araniti, G.: LTE-direct vs. WiFi-direct for machine-type communications over LTE-A systems. In: Proceedings of 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 2298–2302. IEEE (2015)

    Google Scholar 

  37. Iera, A., Militano, L., Romeo, L.P., Scarcello, F.: Fair cost allocation in cellular-Bluetooth cooperation scenarios. IEEE Trans. Wireless Commun. 10(8), 2566–2576 (2011)

    Article  Google Scholar 

  38. Ometov, A.: Short-range communications within emerging wireless networks and architectures: a survey. In: Proceedings of 14th Conference of Open Innovations Association (FRUCT), pp. 83–89. IEEE (2013)

    Google Scholar 

Download references

Acknowledgments

Research described in this paper was financed by the National Sustainability Program under grant LO1401. For the research, infrastructure of the SIX Center was used. This research was funded by the Technology Agency of Czech Republic project No. TF02000036.

We thank our colleagues from the Bamomas project for providing insight and expertise into the development of industrial motive sensors and batteries. The IoT devices and framework are developed by Bamomas. We acknowledge Pavel Marek and Dr. Raimo Vuopionperä for assistance with the numerical data analysis and unique insights in the life of industrial motive battery units.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mathieu Devos .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Devos, M., Masek, P. (2017). Battery Monitoring Within Industry 4.0 Landscape: Solution as a Service (SaaS) for Industrial Power Unit Systems. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67380-6_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67379-0

  • Online ISBN: 978-3-319-67380-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics