Autonomous Mining Truck Monitoring System Based on DigiMesh Networking
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
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.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it