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.
Authors
- Anas Ahmed (ORCID: https://orcid.org/0000-0003-1179-9092)
- Lei Yang (ORCID: https://orcid.org/0000-0002-0885-4890)
- Raees Ahmad Khan (ORCID: https://orcid.org/0000-0002-9454-1312)
- Quamrul Huda (ORCID: https://orcid.org/0000-0001-5257-1719)
- Jacob Paetsch
- Jomi Bitancor
- Trace Malcom
Institutions
- Northern Alberta Institute of Technology (CA)
- Imperial Oil (Canada) (CA)
Publication Details
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1109/isie62713.2025.11124618
- Primary Topic
- Technology and Security Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00