Abstract
This paper presents the design and development of a strategy of low-cost automation by the use of a minicomputer Raspberry Pi, to implement web technology in hydraulic processes for edge computing, close to where data is produced. A web page was built to be an user interface, besides, the Ethernet standard has been used to establish the internet connection with the Raspberry board to manipulate the general purpose input/output pins. A program was coded in Python language to both receive signals from the limit switch sensors and control the servo valves through a relay module, because they are actuated by solenoids which require 24 V DC to be excited. The user may start, stop, and home-return the hydraulic process from any device with internet connectivity, thus it can be understood like an implementation of Industry 4.0. The logic sequence for the automation was proved in a simulation software to set a reference performance, then the experimentation, with Raspberry Pi plus the relay module in the manufacturing laboratory, shows successful results of the proposed strategy.
Similar content being viewed by others
References
Aazam M, Zeadally S, Harras KA (2018) Deploying fog computing in industrial internet of things and industry 4.0. IEEE Trans Ind Inf 14(10):4674–4682
Alves TR, Buratto M, De Souza FM, Rodrigues TV (2014) Openplc: an open source alternative to automation. In: IEEE global humanitarian technology conference (GHTC 2014). IEEE, pp 585–589
Baraka K, Ghobril M, Malek S, Kanj R, Kayssi A (2013) Low cost arduino/android-based energy-efficient home automation system with smart task scheduling. In: 2013 fifth international conference on computational intelligence, communication systems and networks. IEEE, pp 296–301
Cabitto A, Lambruschini P, Raggio M (2016) Embedded system for supervision analysis and control of photovoltaic power plants. Microsyst Technol 22(7):1933–1942
Catalog C (2018) Logic controller millenium evo. http://media.crouzet.com/catalog/_datasheet/pdf/en/AU_LC_ME_MilleniumEVO-Bases_EN.pdf
Catalog R (2019) Datasheet raspberry pi 3 model b. https://static.raspberrypi.org/files/product-briefs/Raspberry-Pi-Model-Bplus-Product-Brief.pdf
Catalog L (2020) Datasheet logo! 24rce. https://mall.industry.siemens.com/mall/en/WW/Catalog/Product/6ED1052-1HB08-0BA0
Espejo P, Hallo V, Gordón A, Velasco N, Mendoza D, Gallo V, Saá F (2019) Efficiency analysis between free and paid hardware and software in a pneumatic press. In: International conference on information technology and systems. Springer, pp 398–405
Kazala R, Straczynski P (2019) The most important open technologies for design of cost efficient automation systems. IFAC-PapersOnLine 52(25):391–396
Kyaw AK, Truong HP, Joseph J (2018) Low-cost computing using raspberry pi 2 model b. JCP 13(3):287–299
Parikh PA, Modi N, Prajapati R (2015) Control of industrial pneumatic and hydraulic systems using serial communication technology and matlab. IJSRD-Int J Sci Res Dev 3(10):2321-0613
Rao PB, Uma S (2015) Raspberry pi home automation with wireless sensors using smart phone. Int J Comput Sci Mob Comput 4(5):797–803
Raptis TP, Passarella A, Conti M (2019) Data management in industry 4.0: state of the art and open challenges. IEEE Access 7:97052–97093
Stój J, Smołka I, Maćkowski M (2018) Determining the usability of embedded devices based on raspberry pi and programmed with codesys as nodes in networked control systems. In: International conference on computer networks. Springer, pp 193–205
Wu W, Yu C (2017) Simulation and experimental analysis of hydraulic directional control for displacement controlled system. IEEE Access 6:27993–28000
Yeh CT, Chen MC (2019) A combination of iot and cloud application for automatic shrimp counting. Microsyst Technol, 1–8
Acknowledgements
The authors would like to thank to the University of Guanajuato by the support given through the CIIC-2019. Thanks go to the reviewers for their important comments.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Torres, F.J., López, F., Núñez, D.A. et al. An alternative of low-cost automation based on a minicomputer for edge computing. Microsyst Technol 26, 2913–2920 (2020). https://doi.org/10.1007/s00542-020-04905-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00542-020-04905-7