Abstract
As Internet of Things (IoT) and Services are applied to manufacturing industries, Industry 4.0 is evolving. For Industry 4.0 to be realized in the factory, it is essential to implement horizontal integration of cross enterprise value networks, vertical integration within the factory. As interest in IoT has increased, number of platforms that are designed to support it has increased greatly. Because of the different approaches, standards, use cases, and the types of Industrial IoT platforms are very complex and diverse. Therefore, it is difficult to understand, choose and apply the appropriate platform. In this study, we examine the function, effectiveness and cautions for open source based platforms that can be applied to IoT based smart manufacturing. In addition, the architecture of five open source IIoT platforms are analyzed by our reference architecture and clean up all in Table. Finally, we present the use cases of Industrial IoT environment and analyze its effects.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Chen, B., et al.: Smart factory of industry 4.0: key technologies, application case, and challenges. IEEE Access 3(6), 6505–6519 (2017)
Atzori, L., et al.: The internet of things: a survey. Comput. Netw. 54, 2787–2805 (2010)
Top 49 tools internet of things. https://www.profitbricks.com/. Accessed 4 May 2019
Savaglio, C., Fortino, G.: Autonomic and cognitive architectures for the internet of things. In: Di Fatta, G., Fortino, G., Li, W., Pathan, M., Stahl, F., Guerrieri, A. (eds.) IDCS 2015. LNCS, vol. 9258, pp. 39–47. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-23237-9_5
Abdur Razzaque, M., et al.: Middleware for internet of things: a survey. IEEE Internet Things J. 3(1), 70–95 (2016)
Kim, J., et al.: M2M service platforms: survey, issues, and enabling technologies. IEEE Commun. Surv. Tutorials 16(1), 61–76 (2013)
Ngu, A., et al.: IoT middleware: a survey on issues and enabling technologies. IEEE Internet Things J. 3(4), 1–20 (2017)
Cruz, D., et al.: A reference model for internet of things middleware. IEEE Internet Things J. 5(2), 871–883 (2018)
Singh, M., et al.: Secure MQTT for internet of things. In: Tomar, G. (ed.) 5th International Conference on Communication Systems and Network Technologies, pp. 746–751. IEEE, Gwalior (2015). https://doi.org/10.1109/CSNT.2015.16
Zhu, Q., et al.: IoT gateway: bridging wireless sensor networks into Internet of things. In: IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, pp. 347–352. IEEE, Hong kong (2010). https://doi.org/10.1109/EUC.2010.58
Mobius Architecture. http://developers.iotocean.org/archives/module/mobius. Accessed 4 May 2019
Key Capability of the Kaa IoT platform. https://www.kaaproject.org/platform/. Accessed 4 May 2019
Kaa Architecture. https://kaaproject.github.io/kaa/docs/v0.10.0/Architecture-overview/. Accessed 4 May 2019
Sitewhere Architecture. https://github.com/sitewhere/sitewhere. Accessed 4 May 2019
DeviceHive Architecture. https://devicehive.com/. Accessed 4 May 2019
Fiware Architecture. https://www.fiware.org/. Accessed 4 May 2019
Um, C., et al.: Industrial device monitoring and control system based on oneM2M for edge computing. In: Pal, N.R. (ed.) 2018 IEEE Symposium Series on Computational Intelligence, pp. 1528–1533. IEEE, Bangalore (2018). https://doi.org/10.1109/SSCI.2018.8628736
Cho, H., et al.: Implementation and performance analysis of power and cost-reduced OPC UA gateway for industrial IoT platforms. In: 2018 28th International Telecommunication Networks and Applications Conference (ITNAC), pp. 1–3. IEEE, Sydney (2018). https://doi.org/10.1109/atnac.2018.8615377
Ericsson, A.B.: The Internet of Things forecast. https://www.ericsson.com/en/mobilityreport/internet-of-things-forecast/. Accessed 15 Mar 2019
Acknowledgement
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2019-2018-0-01417) supervised by the IITP (Institute for Information & communications Technology Promotion).
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1D1A1B03933828).
This work has supported by the Gyeonggi Techno Park grant funded by the Gyeonggi-Do government (No. Y181802).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kim, M., Lee, J., Jeong, J. (2019). Open Source Based Industrial IoT Platforms for Smart Factory: Concept, Comparison and Challenges. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11624. Springer, Cham. https://doi.org/10.1007/978-3-030-24311-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-24311-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24310-4
Online ISBN: 978-3-030-24311-1
eBook Packages: Computer ScienceComputer Science (R0)