Autonomous Mining Truck Monitoring System Based on DigiMesh Networking

Autonomous haul trucks (AHTs) in surface mining industry require robust remote monitoring systems for efficient operations and fleet management. This paper presents a wireless DigiMesh-based monitoring system that enables remote realtime tracking of fluid levels, dynamic status (acceleration, pitch, roll), and vehicle positioning. Multi-hop DigiMesh networking ensures uninterrupted data transmission without the need for cellular (LTE/5G) or Wi-Fi signals. A robust onboard data acquisition module (DAM) with transient voltage suppression and optocoupler-isolated signal chains ensures reliable operation in harsh electrical environments, while a thermally regulated enclosure with IP67-rated waterproofing addresses environmental challenges. The system's continuous data collection framework provides a foundation for future machine learning applications, enabling predictive maintenance models to optimize truck recall schedules and reduce false alarms caused by transient sensor artifacts.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/isie62713.2025.11124618
Primary Topic
Technology and Security Systems
Type
article
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article

Autonomous Mining Truck Monitoring System Based on DigiMesh Networking

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Technology and Security Systems
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Autonomous Mining Truck Monitoring System Based on DigiMesh Networking

Anas Ahmed, Lei Yang, Raees Ahmad Khan, Quamrul Huda, Jacob Paetsch, Jomi Bitancor, Trace Malcom
article en

Abstract

Autonomous haul trucks (AHTs) in surface mining industry require robust remote monitoring systems for efficient operations and fleet management. This paper presents a wireless DigiMesh-based monitoring system that enables remote realtime tracking of fluid levels, dynamic status (acceleration, pitch, roll), and vehicle positioning. Multi-hop DigiMesh networking ensures uninterrupted data transmission without the need for cellular (LTE/5G) or Wi-Fi signals. A robust onboard data acquisition module (DAM) with transient voltage suppression and optocoupler-isolated signal chains ensures reliable operation in harsh electrical environments, while a thermally regulated enclosure with IP67-rated waterproofing addresses environmental challenges. The system's continuous data collection framework provides a foundation for future machine learning applications, enabling predictive maintenance models to optimize truck recall schedules and reduce false alarms caused by transient sensor artifacts.

Northern Alberta Institute of Technology (CA), Imperial Oil (Canada) (CA)
Openalex Percentile: Top 67%
Technology and Security Systems
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