Call for Paper - September 2020 Edition
IJCA solicits original research papers for the September 2020 Edition. Last date of manuscript submission is August 20, 2020. Read More

IoT in Conjunction with Cloud Services for Industrial Applications Optimization

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
M. Papoutsidakis, D. Piromalis, E. Symeonaki, D. Tseles
10.5120/ijca2017914497

M Papoutsidakis, D Piromalis, E Symeonaki and D Tseles. IoT in Conjunction with Cloud Services for Industrial Applications Optimization. International Journal of Computer Applications 167(12):42-48, June 2017. BibTeX

@article{10.5120/ijca2017914497,
	author = {M. Papoutsidakis and D. Piromalis and E. Symeonaki and D. Tseles},
	title = {IoT in Conjunction with Cloud Services for Industrial Applications Optimization},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {167},
	number = {12},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {42-48},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume167/number12/27826-2017914497},
	doi = {10.5120/ijca2017914497},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

It was recently observed that many companies that use industrial automation, wish to improve the performance of their production due to the competitive market, implement advances methods in the production procedures. These methods, called Industrial Internet of Things, aiming at distributing and managing an information not only from the production field in advanced levels of productive procedures like the one of cloud computing but also among the systems that administer the particular method. In the present paper advanced sensors, the structure of IIoT technology used for the wireless transmission of data from the sensors to the central server, the HMI will be presented along with a detailed description of Cloud services that co- operate with the above. The objective of the research, given that it deals with modern applications in industrial functions and services, will try to answer questions arisen such as if the combination of all previously mentioned optimizes the efficiency and operation of the production and also if it is easily comprehensible from its final users. From all the above mentioned, conclusions will be recorded about the application of such methods in the production procedures, their advantages and disadvantages will be debated and simultaneously refinements will be proposed so as to maximize further the benefits from the IIoT and Cloud co- operation. Possible outcomes of this technology application are expected to be the efficiency which in turn will increase the performance of the production connectivity with an easy transmission of information at real time and eventually the reliability of the method which will produce considerable economic benefits for the companies willing to implement it.

References

  1. Richard Clark, August 2016, “Mobile HMI improves plant operations”, available: (http://bt.editionsbyfry.com/publication/?i=328299#{"issue_id":328299,"page":0}, last access 17/4/2017).
  2. Michael Zhang, October 2016, “Managing processes with the IIoT available:http://bt.e-ditionsbyfry.com/publication/?i=346513#{"issue_id":346513,"page":0}, last access 17/4/2017).
  3. Dana Pasquali, April 2015, “Validation among insecurities”, Control Engineer Magazine.
  4. Daniel E. Capano, April 2015, “Wireless security basics, standards”, Control Engineer Magazine.
  5. Amanda Pelliccione, January 2016, “Digital Report IIoT 2016”, Control Engineer Magazine.
  6. K. Sohraby, D. Minoli, T. Znati, “Wireless sensor networks: Technology,Protocols, and Applications”, Wiley-Interscience, 2007.
  7. Kevin Zamzow, 26 October 2015, “Practical considerations for selecting an industrial wireless sensor network”, available: (http://www.controleng.com/industry-news/single-article/practical-considerations-for-selecting-an-industrial-wireless-sensor-network/4981723af570e1ec3ab00dbaf7b552da.html, last access 17/4/2017).
  8. Lynnette Reese, RF Wireless Τechnology, available:(http://gr.mouser.com/applications/rf-sensor-networks/, last access 17/4/2017).
  9. EngineersGarage, “Sensors: Different Types of Sensors”,availiable: (https://www.engineersgarage.com/articles/sensors, last access 17/4/2017).
  10. SAS, “IoT”, available: (https://www.sas.com/el_gr/insights/big-data/internet-of-things.html#m=the-internet-of-things-infographic, last access 19/4/2017).
  11. Shshil B., Leena J., Sandeep J. (2010), "Cloud Computing", International Journal of Engineerig and Information Technology.
  12. Gustavo A. A. Santana, April 2016, “Official Cert Guide”, CCNA Cloud CLDFND 210-451.
  13. Zebra Technologies, “Electronic Product Code (EPC) RFID technology”, available:(https://www.zebra.com/us/en/resource-library/getting-started/rfid-printing-encoding/epc-rfid-technology.html#epc, last access 7/5/2017).
  14. Vael M., Μάϊος 2010, “Cloud Computing, An insight in the Governance & Security aspects”, ISACA Belgium.

Keywords

Industrial Internet of Things, Cloud computing, Cloud services, Wireless Smart sensors, protocols of wireless communication, HMI, server.