The Failure Protection of Wireless-Based IIoT Technology for Fluid Level Control Systems
DOI:
https://doi.org/10.48048/tis.2022.3199Keywords:
IIoT, Failure protection, Mesh network, MQTT protocolAbstract
A novel protection mechanism was proposed for failure of a wireless-based IIoT system to control water level. Control via wireless communication can be executed safely using designed protection. A secondary path as a mesh network was automatically enabled to occur if the main MQTT network protocol failed. System backups were no longer required, with increased reliability of the wireless control network and low risk of failure. Performance control via the developed IIoT was demonstrated. Ability of the protection system to combat network failure was confirmed experimentally.
Downloads
Metrics
References
B Foss. Process control in conventional oil and gas fields-challenges and opportunities. Control Eng. Pract. 2012; 20, 1058-64.
BW Bequette. Nonlinear control of chemical processes: A review. Ind. Eng. Chem. Res. 1991; 47, 3615-22.
TA Haley and SJ Mulvaney. Advanced process control techniques for the food industry. Trends Food Sci. Technol. 1995; 6, 103-10.
WL Luyben. Liquid level control: Simplicity and complexity. J. Proc. Control. 2020; 86, 57-64.
K Reza, S Ahsanuzzaman and M Reza. Microcontroller based automated water level sensing and controlling: Design and implementation issue. World Congr. Comput. Sci. Eng. 2010; 1.
R Das, S Dutta, A Sarkar and K Samanta. Automation of tank level using PLC and establishment of HMI by Scada. IOSR J. Electr. Electron. Eng. 2013; 7, 61-7.
L Atzori, A Iera and G Morabito. The internet of things: A survey. Comput. Netw. 2010; 54, 2787-805.
J Muangprathub, N Boonnam, S Kajornkasirat, N Lekbangpong, A Wanichsombat and P Nillaor. IoT and agriculture data analysis for smart farm. Comput. Electron. Agric. 2019; 156, 467-74.
S Jaiganesh, K Gunaseelan and V Ellappan. IOT agriculture to improve food and farming technology. In: Proceedings of the IEEE Conference on Emerging Devices and Smart Systems, Tamilnadu, India. 2017.
S Chaudhury, R Mukherjee, D Paul and S Haldar. Internet of thing-based healthcare monitoring system. In: Proceedings of the 8th Annual Industrial Automation and Electromechanical Engineering, Bangkok, Thailand. 2017.
W Abdullah, N Yaakob, ME Elobaid, MNM Warip and SA Yah. Energy-efficient remote healthcare monitoring using IoT: A review of trends and challenges. In: Proceedings of the International Conference on Internet of things and Cloud Computing, Cambridge, UK. 2016.
H Aldowah, SU Rehman, S Ghazal and IN Umar. Internet of things in higher education: A study on future learning. J. Phys. Conf. Ser. 2017; 892, 012017.
S Gul, M Asif, S Ahmad, M Yasir, M Majid and MSA Malik. A survey on role of internet of things in education. Int. J. Netw. Secur. 2017; 17, 159-65.
B Jan, H Farman, M Khan, M Talha and IU Din. Designing a smart transportation system: An internet of things and big data approach. IEEE Wirel. Commun. 2019; 26, 73-9.
S Dey, A Roy and S Das. Home automation using internet of thing. In: Proceedings of the 7th Annual Ubiquitous Computing, Electronics & Mobile Communication, New York, USA, 2016.
H Boyes, B Hallaq, J Cunningham and T Watson. The industrial internet of things (IIoT): An analysis framework. Comput. Ind. 2018; 101, 1-12.
LD Xu, W He and S Li. Internet of things in industries: A survey. IEEE Trans. Industr. Inform. 2014; 10, 2233-43.
F Foukalas, P Pop, F Theoleyre, CA Boano and C Buratti. Dependable wireless industrial IoT networks: Recent advances and open challenges. In: Proceedings of the 24th IEEE European Test Symposium, New Baden-Baden, Germany. 2019.
P Park, S C Ergen, C Fischione and C Lu. Wireless network design for control systems: A survey. IEEE Commun. Surv. Tutor. 2018; 20, 978-1013.
J Chen, X Cao, P Cheng and Y Xiao. Distributed collaborative control for industrial automation with wireless sensor and actuator networks. IEEE Trans. Ind. Electron. 2018; 57, 4219-30.
VC Gungor and GP Hancke. Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Trans. Ind. Electron. 2009; 56, 4258-65.
P Castello, P Ferrari, A Flammini, C Muscas, PA Pegoraro and S Rinaldi. A distributed PMU for electrical substations with wireless redundant process bus. IEEE Trans. Instrum. Meas. 2015; 64, 1149-57.
AT Naman, MZ Abdulmuin and H Arof. Implementation and performance evaluation of a wireless feedback loop for water level control. In: Proceedings of the 2000 TENCON, Kuala Lumpur, Malaysia. 2000.
DS Simbeye and SF Yang. Water quality monitoring and control for aquaculture based on wireless sensor networks. J. Netw. 2014; 9, 840-9.
C Illes, GN Popa and I Filip. Water level control system using PLC and wireless sensors. In: Proceedings of the 9th International Conference on Computational Cybernetics, Tihany, Hungary. 2013.
L Lu, R Lewis, M Hu and R Lin. Design and implementation of a wireless networked water level control system. J. Comput. Commun. 2015; 3, 159-63.
SK Lakshmanaprabu, AW Nasir and US Banu. Design of Centralized Fractional order PI Controller for Two Interacting Conical Frustum Tank Level Process. J. Appl. Fluid. 2017; 10, 23-32.
PM Meshram and RG Kanojiya. Tuning of PID controller using Ziegler-Nichols method for speed control of DC motor. In: Proceedings of the IEEE-International Conference on Advances in Engineering, Science and Management, Nagapattinam, Tamil Nadu, India. 2012.
Server Connection Lost Experiment, Available at: https://youtu.be/sjlpQkekZu8, accessed June 2020.
Redundancy of Linear Valve Node, Available at: https://youtu.be/IHvhXOKXLIQ, accessed June 2020.
Redundancy of Sensor Node, Available at: https://youtu.be/XFHIT-45cKQ, accessed June 2020.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
