Monitoring work parameters for road transport means
Bibliographic record
Abstract
The performance of the transport means is also determined by the rolling systems, which have major economic and environmental implications caused by the loads to be carried, the travel speeds, the constructive and functional characteristics, the air pressure in the tires with direct implications on the compaction and wear of the rolling track, tire tread wear, rolling resistance and implicitly of the cost of the transport operation itself. The subject of the present paper is the research carried out on a moving articulated vehicle made up of an agricultural tractor and semi-trailer, aiming to continuously monitor the dynamic parameters of the vehicle. We present the mathematical relations expressing the action of the semi-trailer on the tractor, represented by connecting forces, moments and loads, identifying in particular the reaction of the ground on the semi-trailer rolling system and load transfer from the semi-trailer to the tractor, which contributes to its additional loading, these two parameters being followed. For the continuous measurement and monitoring of the two parameters, in real time, a load monitoring installation was built and assembled on the articulated vehicle, consisting mainly of force transducers, force amplifiers, micro PLC operating terminal and other connection elements. Registrations made during the experiments are managed by software specially created for these researches. Experiments were carried out both for stationary and for all travel regimes of the articulated vehicle, namely acceleration, deceleration and sudden braking, the results obtained from the tests allowing us to establish the veracity of the mathematical relations, on the one hand, and the evolution of the measured parameter value in the three travel regimes, on the other hand.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".