TY - GEN
T1 - Design of an IoT-Driven Software Architecture for an Automated Robotic Fueling System in Open-Pit Mining
AU - Vilchez Pascual, Carlos Antonio
AU - Pajares Correa, Brian David
AU - Santos López, Felix Melchor
N1 - Publisher Copyright:
Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.
PY - 2025
Y1 - 2025
N2 - The fueling process for haul trucks in open-pit mining operations is traditionally manual, leading to inefficiencies, operational delays, and increased costs. This paper presents the design of an automated robotic fueling system aimed at optimizing fueling operations by automating key tasks such as fuel nozzle positioning, authorization, and process monitoring. The proposed system leverages Internet of Things (IoT) technology and a cloud-based architecture to enable real-time monitoring and seamless integration with existing mine infrastructure. The physical design of the system follows the German Guideline VDI 2206 methodology, while the cloud platform is structured using the Attribute Driven Design (ADD) 3.0 methodology to ensure scalability and adaptability. Additionally, interface prototypes were developed, including an Human-Machine Interface (HMI) and a responsive web application, to provide real-time data visualization and operational control. The results of this study demonstrate the potential of automation to improve fueling efficiency, enhance safety, and reduce downtime in mining operations.
AB - The fueling process for haul trucks in open-pit mining operations is traditionally manual, leading to inefficiencies, operational delays, and increased costs. This paper presents the design of an automated robotic fueling system aimed at optimizing fueling operations by automating key tasks such as fuel nozzle positioning, authorization, and process monitoring. The proposed system leverages Internet of Things (IoT) technology and a cloud-based architecture to enable real-time monitoring and seamless integration with existing mine infrastructure. The physical design of the system follows the German Guideline VDI 2206 methodology, while the cloud platform is structured using the Attribute Driven Design (ADD) 3.0 methodology to ensure scalability and adaptability. Additionally, interface prototypes were developed, including an Human-Machine Interface (HMI) and a responsive web application, to provide real-time data visualization and operational control. The results of this study demonstrate the potential of automation to improve fueling efficiency, enhance safety, and reduce downtime in mining operations.
KW - ADD
KW - Fueling
KW - IoT
KW - Mining
KW - Robotic Arm
UR - https://www.scopus.com/pages/publications/105003710976
U2 - 10.5220/0013482500003944
DO - 10.5220/0013482500003944
M3 - Conference contribution
AN - SCOPUS:105003710976
T3 - International Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings
SP - 456
EP - 463
BT - Proceedings of the 10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025
A2 - Emrouznejad, Ali
A2 - Hung, Patrick
A2 - Jacobsson, Andreas
PB - Science and Technology Publications, Lda
T2 - 10th International Conference on Internet of Things, Big Data and Security, IoTBDS 2025
Y2 - 6 April 2025 through 8 April 2025
ER -