Open Access Open Access  Restricted Access Subscription or Fee Access

A PLC Solution for Minimizing Downtime from an Actual Belt Conveyer Problem Occurring on a Gold Mineral Production Line


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/ireaco.v14i6.21341

Abstract


One of the best methods for transporting materials from one place to another is a smart belt conveyer system a with Programable Logic Controller (PLC). Since a PLC helps belt conveyers avoid slipping, overloading, and malfunctioning during operation time, maintenance costs and downtime losses are reduced. In this work, the existing Ma’aden-Al Duwaihi belt conveyer system and the related issues have been examined. Then, the operations logic has been simulated and modified by adding programable logic controller-PLC. After that, the proposed solution has been implemented on laboratory prototype. Practically, one unit of the PLC should be added to the system. However, the conveyer system eventually becomes smarter. The main contribution of the presented work is updating the belt conveyer system, which previously has been only relay-dependent on a PLC’s fully automated materials handling system. Both system design and implementation are discussed herein. Investment in PLC implementation has proven to be beneficial over the long term. A PLC automates materials handling and sorting, significantly reduces downtime, and makes the implementation of a more advanced optimal algorithm possible.
Copyright © 2021 Praise Worthy Prize - All rights reserved.

Keywords


Automation; PLC; Belt Conveyor; Gold Mining

Full Text:

PDF


References


S. Tsalidis and A. Dentsoras, Application of design parameters space search for belt conveyor design, Engineering Applications of Artificial Intelligence, vol. 10, pp. 617-629, 1997.
https://doi.org/10.1016/S0952-1976(97)00044-4

J. H. Marais, Analysing DSM opportunities on mine conveyor systems, North-West University, 2007.

S. Zhang and X. Xia, Optimal control of operation efficiency of belt conveyor systems, Applied Energy, vol. 87, pp. 1929-1937, 2010.
https://doi.org/10.1016/j.apenergy.2010.01.006

J. Rijsenbrij, B. Pielage, and J. Visser, State-of-the-art on automated (underground) freight transport systems for the EU-TREND project, Delft University of Technology, Delft, 2006.

O. Kulak, A decision support system for fuzzy multi-attribute selection of material handling equipments, Expert systems with applications, vol. 29, pp. 310-319, 2005.
https://doi.org/10.1016/j.eswa.2005.04.004

M. Alspaugh, Latest developments in belt conveyor technology, Proc. of MINExpo, vol. 2004, 2004.

X. Wang, B. Li, and Z. Yang, Analysis of the Bulk Coal Transport State of a Scraper Conveyor Using the Discrete Element Method, Strojniski Vestnik/Journal of Mechanical Engineering, vol. 64, 2018.
https://doi.org/10.5545/sv-jme.2017.4790

S. Chakraborty and D. Banik, Design of a material handling equipment selection model using analytic hierarchy process, The International Journal of Advanced Manufacturing Technology, vol. 28, pp. 1237-1245, 2006.
https://doi.org/10.1007/s00170-004-2467-y

G. Lodewijks, Two decades dynamics of belt conveyor systems, Bulk Solids Handling, vol. 22, pp. 124-132, 2002.

X. Liu, Y. Pang, G. Lodewijks, and D. He, Experimental research on condition monitoring of belt conveyor idlers, Measurement, vol. 127, pp. 277-282, 2018.
https://doi.org/10.1016/j.measurement.2018.04.066

Y. Pang and G. Lodewijks, The application of RFID technology in large-scale dry bulk material transport system monitoring, in 2011 IEEE Workshop on Environmental Energy and Structural Monitoring Systems, 2011, pp. 1-5.
https://doi.org/10.1109/EESMS.2011.6067043

R. Carvalho, R. Nascimento, T. D'Angelo, S. Delabrida, A. GC Bianchi, R. A. Oliveira, et al., A UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry, Sensors, vol. 20, p. 2243, 2020.
https://doi.org/10.3390/s20082243

A. J. G. Nuttall, Design aspects of multiple driven belt conveyors, 2007.

W. Bolton, Programmable logic controllers. Newnes, 2015.
https://doi.org/10.1016/B978-0-12-802929-9.00001-7

Obukhov, A., Krasnyanskiy, M., Dedov, D., Automation of Structural and Parametric Synthesis of Electronic Document Management Systems Based on Neural Network Architecture, (2019) International Review of Automatic Control (IREACO), 12 (3), pp. 123-135.
https://doi.org/10.15866/ireaco.v12i3.16992

Masoud, M., Jaradat, Y., Manasrah, A., Taleb, B., Designing of a General Purpose Soft Programmable Logic Controller (PLC) for the Internet of Things (IoT) Era, (2020) International Review of Automatic Control (IREACO), 13 (4), pp. 153-161.
https://doi.org/10.15866/ireaco.v13i4.19328

Hasan, M., Mejeed, R., Hameed, H., Analysis of Diyala Power Network for the Distributed Feeders Between Iraq and Iran: 132 kV Baquba-Sarbilzahab, (2019) International Review of Electrical Engineering (IREE), 14 (5), pp. 359-366.
https://doi.org/10.15866/iree.v14i5.17122

R. Benson, Process control-the future, Computing & Control Engineering Journal, vol. 8, pp. 161-166, 1997.
https://doi.org/10.1049/cce:19970405

J. Lucas, W. Thabet, and P. Worlikar, Using virtual reality (VR) to improve conveyor belt safety in surface mining, in 24th W78 Conference Maribor 2007 & 5th ITCEDU Workshop & 14th EG-ICE Workshop: Bringing ITC knowledge to work, 2007, pp. 431-438.

G. Lodewijks, W. Li, Y. Pang, and X. Jiang, An application of the IoT in belt conveyor systems, in International Conference on Internet and Distributed Computing Systems, 2016, pp. 340-351.
https://doi.org/10.1007/978-3-319-45940-0_31

G. Cann and R. Goydan, Bits, Bytes, and Barrels: The Digital Transformation of Oil and Gas: Elsevier, 2019.

A. Hoshimov, A. Rustamov, and J. Rozzokov, Industrial Conveyors' Taxonomy and Its Applications, Acta of Turin Polytechnic University in Tashkent, vol. 8, pp. 60-62, 2018.

E. Hamzeloo, M. Massinaei, and N. Mehrshad, Estimation of particle size distribution on an industrial conveyor belt using image analysis and neural networks, Powder technology, vol. 261, pp. 185-190, 2014.
https://doi.org/10.1016/j.powtec.2014.04.038

M. Erkayaoğlu and N. Demirel, A comparative life cycle assessment of material handling systems for sustainable mining, Journal of environmental management, vol. 174, pp. 1-6, 2016.
https://doi.org/10.1016/j.jenvman.2016.03.011

(2021, August, 15, 2021). Saudi Mining Company. Available:
https://www.maaden.com.sa/


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize