Abstract
The paper presents a solution for data collection from devices embedded on industrial resources. The proposed architecture is validated using an industrial robot from Omron. Since not all devices that acquire electrical signals from sensors and transmit them in centralized environments (e.g., Cloud) have advanced processing capabilities, the creation of an aggregation node that concentrates data from different types of sources and sends it to the Cloud database is proposed. The data is collected, aggregated and uploaded to the private cloud platform for centralized manufacturing control tasks (product scheduling, resource allocation, monitoring and diagnosis). Experimental results are reported.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Evans, D.: The Internet of Things. How the Next Evolution of the Internet is Changing Everything, CISCO white paper (2011)
Rose, K., Eldridge, S., Chapin, L.: The Internet of Things: An Overview, Understanding Issues and Challenges of a More Connected World. The Internet Society (ISOC), Reston (2015)
Al-Osta, M., Ahmed, B., Abdelouahed, G.: A lightweight semantic web-based approach for data annotation on IoT gateways. Procedia Comput. Sci. 113, 186–193 (2017). https://doi.org/10.1016/j.procs.2017.08.339
Ai, Y., Peng, M., Zhang, K.: Edge cloud computing technologies for internet of things: a primer. Digit. Commun. Netw. (2017). https://doi.org/10.1016/j.dcan.2017.07.001
https://whatis.techtarget.com/definition/IoT-gateway. Consulted in March 2018
Takiishi, K., Tazaki, K., Fabre, S.: Edge Computing for Improved Digital Business Networks, Published: 21 October 2015 by Gartner, ID: G00291619 (2015). https://www.gartner.com/doc/3155018/edge-computing-improved-digital-business
FogHorn Systems: Bringing the Power of Big Data to the Edge (2017). https://www.foghorn.io/technology/
Barbon, G., Margolis, M., Palumbo, F., Raimondi, F., Weldin, N.: Taking Arduino to the Internet of Things: the ASIP programming model. Comput. Commun. 89–90, 128–140 (2016)
Desai, N.: What is an IoT Gateway and How Do I Keep It Secure? Global Sign Internet GMO Group (2016). https://www.globalsign.com/en/blog/what-is-an-iot-gateway-device/
Al-Osta, M., Ahmed, B., Abdelouahed, G.: A lightweight semantic web-based approach for data annotation on IoT gateways. In: EUSPN 2017 (2017). ScienceDirect, Procedia Computer Science, vol. 113, pp. 186–193
Kang, B., Choo, H.: An experimental study of a reliable IoT gateway. ICT Express (2017). http://dx.doi.org/10.1016/j.icte.2017.04.002
Răileanu, S., Anton, F., Borangiu, T.: High availability cloud manufacturing system integrating distributed MES agents. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitao, P., Barata, J. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing. Proceedings of SOHOMA 2016. Studies in Computational Intelligence, vol. 694, Chap. 2, pp. 11–23 (2016). https://doi.org/10.1007/978-3-319-51100-9_2
Gloria, A., Cercasa, F., Souto, N.: Design and implementation of an IoT gateway to create smart environments. In: Proceedings of the 8th International Conference on Ambient Systems, Networks and Technologies (ANT 2017) (2017). https://doi.org/10.1016/j.procs.2017.05.343
https://store.arduino.cc/arduino-ethernet-rev3-without-poe. Consulted in March 2018
Automation Control Environment (ACE). http://www.ia.omron.com/products/family/3521/lineup.html. Consulted in March 2018
eCobra SCARA Robot. https://industrial.omron.us/en/products/ecobra. Consulted in March 2018
Främling, K., Kubler, S., Buda, A.: Universal messaging standards for the IoT from a lifecycle management perspective. IEEE Internet Things J. 1(4), 319–327. ISSN: 2327-4662 (2014)
Forouzan, B.: TCP/IP Protocol Suite, 2nd edn. McGraw-Hill, New York (2003). ISBN 0-07-246060-1
Kubler, S., Madhikermi, M., Buda, A., Främling, K.: QLM messaging standards: introduction and comparison with existing messaging protocols. In: Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics. Studies in Computational Intelligence, vol. 544. Springer, Berlin (2014). ISBN 978-3-319-04734-8
Eclipse Mosquitto, An open source MQTT broker. https://mosquitto.org/. Consulted in March 2018
Eclipse Paho, open-source client implementations of MQTT. https://www.eclipse.org/paho/. Consulted in March 2018
https://pubsubclient.knolleary.net/. Consulted in March 2018
Acknowledgement
This research work has been partially supported by the IBM Faculty Awards 2016 Project: Big Data, Analytics and Cloud for Digital Transformation on Manufacturing – DTM, period of execution 2016-2018.
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
Răileanu, S., Anton, F., Borangiu, T., Morariu, O., Iacob, I. (2019). An Experimental Study on the Integration of Embedded Devices into Private Manufacturing Cloud Infrastructures. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-030-03003-2_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-03003-2_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03002-5
Online ISBN: 978-3-030-03003-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)