Enhancement of Truck Transportation Efficiency Through Remote Monitoring of Route and Mineral Load

Jump To References Section

Authors

  • Department of Mining Engineering, Dr. T. Thimmaiah Institute of Technology, Kolar Gold Fields - 563120, Karnataka ,IN
  • Department of Mining Engineering, Dr. T. Thimmaiah Institute of Technology, Kolar Gold Fields - 563120, Karnataka ,IN
  • Department of Mining Engineering, Dr. T. Thimmaiah Institute of Technology, Kolar Gold Fields - 563120, Karnataka ,IN
  • Department of Mining Engineering, Dr. T. Thimmaiah Institute of Technology, Kolar Gold Fields - 563120, Karnataka ,IN
  • Department of Mining Engineering, Dr. T. Thimmaiah Institute of Technology, Kolar Gold Fields - 563120, Karnataka ,IN

DOI:

https://doi.org/10.18311/jmmf/2024/44224

Keywords:

Blynk Application, Global Positioning System (GPS), Load Cell, Load Monitoring

Abstract

The mining industry faces significant challenges when it comes to ensuring the safety and security of heavy-duty trucks operating outside the boundaries of the mine through remote routes and mineral load monitoring. To address these concerns, this study proposes an approach to enhance safety and surveillance by utilizing the Global Positioning System (GPS) and load cell technology to track trucks beyond the mine boundary and mineral load monitoring. The developed system will provide real-time information about truck location, speed, mass theft, and idle routes. To achieve this, a GPS tracker is installed on the truck, providing accurate and reliable location data, and a load cell is installed to monitor the mineral load. This will help ensure compliance with safety regulations and prevent unauthorized stopping and mineral theft. To monitor the location, speed, mass theft, load monitoring, and unauthorized stoppings BLYNK application is used. This system will facilitate improved decision-making, enable timely response to emergencies, enhance operational efficiency, and reduce the risks associated with truck operations outside the mine.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2024-04-01

How to Cite

John Gladious, J., Ajithraj, S., Arunkumar, R., Sridharan, N., & Rajeshraj, K. (2024). Enhancement of Truck Transportation Efficiency Through Remote Monitoring of Route and Mineral Load. Journal of Mines, Metals and Fuels, 72(4), 287–299. https://doi.org/10.18311/jmmf/2024/44224

Issue

Section

Articles
Received 2024-06-19
Accepted 2024-07-09
Published 2024-04-01

 

References

Jacob B, Feypell-de La Beaumelle V. Improving truck safety: Potential of weigh-in-motion technology. IATSS Research. 2010; 34(1):9-15. https://doi.org/10.1016/j.iatssr.2010.06.003

Stawska S, Chmielewski J, Bacharz M, Bacharz K, Nowak A. Comparative accuracy analysis of truck weight measurement techniques. Appl Sci. 2021; 11(2):745. https://doi.org/10.3390/app11020745

Shekhar H, Chandel A, Shankar U. Vehicle overloading alert using IoT. In: 2019 International Conference on Cutting-edge Technologies in Engineering (ICon-CuTE); 2019. p. 1-3. https://doi.org/10.1109/ICon-CuTE47290.2019.8991522

Thangavel KD, Palaniappan S, Chandrasekar G, Muthusamy C. Analysis of overloading in trucks using an embedded controller. International Conference on Electronics and Sustainable Communication Systems (ICESC); 2020. p. 944-949. https://doi.org/10.1109/ICESC48915.2020.9155760

Burugupalli S, Muddasani K, Sannidanam S, Rani NA. Measurement and safety performance analysis of mining dumpers. Measurement. 2023; 52(6).

Chadil N, Russameesawang A, Keeratiwintakorn P. Real-time tracking management system using GPS, GPRS, and google earth. 5th International Conference on Electrical Engineering or Electronics, Computer, Telecommunications and Information Technology; 2008. p. 393-396. https://doi.org/10.1109/ECTICON.2008.4600454

Sudy I, Kummer S, Lehner E. Risk response measures for the management of theft risk in road freight transport chains. Supply Chain Safety Management: Security and Robustness in Logistics. Springer; 2013. p. 153-166. https://doi.org/10.1007/978-3-642-32021-7_9

Most read articles by the same author(s)