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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 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.
See “AWS IoT – Amazon Web Services”, 2017: https://aws.amazon.com/iot/.
- 3.
See “AWS Lambda – Serverless Compute – Amazon Web Services”, 2017: https://aws.amazon.com/lambda/.
- 4.
See “IoT-Ticket, the Office Suite for Internet of things”, 2017: https://iot-ticket.com/.
- 5.
See “Industrial Batteries Motive Power Economical robust reliable EPzS series”: http://www.sue.ba/sue/files/file/classic/Classic_EPzS_int.pdf.
References
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)
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)
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
Stock, T., Seliger, G.: Opportunities of sustainable manufacturing in Industry 4.0. In: Proceedings of CIRP Conference, vol. 40, pp. 536–541 (2016)
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)
VNI Cisco: Global mobile data traffic forecast 2016–2021. White Paper (2017)
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)
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)
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)
Seitz, C.W.: Industrial battery technologies and markets. IEEE Aerospace Electron. Syst. Mag. 9(5), 10–15 (1994)
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)
Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Comput. Netw. 52(12), 2292–2330 (2008)
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)
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)
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)
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)
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)
Ceraolo, M.: New dynamical models of lead-acid batteries. IEEE Trans. Power Syst. 15(4), 1184–1190 (2000)
Sharaf, H.: Method of testing the capacity of a lead-acid battery. US Patent 3,808,522 (1974)
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)
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)
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)
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)
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)
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)
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
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)
Jeschke, S., Brecher, C., Song, H., Rawat, D.B.: Industrial Internet of Things. Springer, Cham (2017)
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
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)
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)
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)
Buxmann, P., Hess, T., Lehmann, S.: Software as a service. Wirtschaftsinformatik 50(6), 500–503 (2008)
Dubey, A., Wagle, D.: Delivering software as a service. McKinsey Q. 6(2007), 2007 (2007)
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)
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)
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)
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)
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
Corresponding author
Editor information
Editors and Affiliations
Rights 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)