Energy harvesting for IoT road monitoring systems
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
Internet of Things (IoT) solutions guarantee the high performance requested by users and authorities in terms of efficiency, sustainability, connectivity, and durability for modern transportation infrastructures, allowing, at the same time, small size, low power consumption, wireless transmission and easily deployable solutions.IoT monitoring systems powered through Energy Harvesting Technologies (EHTs) are often indicated as the most efficient solutions to address these requests because of several advantages (e.g., remote management simplification, independence from electricity grid).In this paper, the most used EHTs in the field of road infrastructures were analyzed and, among them, a photovoltaic standalone system (PVSS) was selected and considered as the power supply unit of an electronic structural health monitoring (SHM) system.In particular, a network of sensor units (SUs), wirelessly connected to one central unit (CU), acting as an innovative road pavement monitoring system solution was taken in account as benchmark.Consequently, the objective of this study is to draw guidelines for the designer that can establish the proper sizing of the PVSS, based on the energy consumption of the SHM system, according to multiple factors, such as typology and number of sensors, frequency of measurements, duty cycle, and days of autonomy. RÉSUMÉ. Les solutions d'Internet des objets (IdO) garantissent la haute performance demandée par les utilisateurs et les autorités en termes d'efficacité, de durabilité, de connectivité et de durabilité pour les infrastructures de transport modernes, permettant à la fois une petite dimension, une faible consommation d'énergie, une transmission sans fil et des solutions faciles à dé ployer. Les systèmes de surveillance d'IdO alimentés par les technologies de récolte d'énergie (EHTs, le sigle de « Energy Harvesting Technologies » en anglais) sont souvent indiqué s comme les solutions les plus efficaces pour ré pondre à ces demandes en raison de plusieurs avantages (par exemple, la simplification de la gestion à distance, l'indé pendance du ré seau é lectrique). Dans cet article, les EHTs les plus souvent utilisé es dans le domaine des infrastructures routiè res ont é té analysé s et, parmi eux, un systè me photovoltaï que autonome (PVSS, le sigle606 I2M.Volume 17 -n° 4/2018 de « photovoltaic standalone system » en anglais) a é té sé lectionné et considé ré comme l'unité d'alimentation é lectrique d'un systè me é lectronique de contrôle de santé inté gré (CSI).En particulier, un ré seau d'unité s de capteurs (SU, le sigle de « sensor unit » en anglais) connecté sans fil à une unité centrale (CU, le sigle de « central unit » en anglais) qui fonctionne en tant que solution des systè mes de surveillance des chaussé es routiè res innovantes a été pris en compte comme standard.Par conséquent, l'objectif de cette étude est d'élaborer des lignes directrices pour le concepteur en eux permettant d'établir le bon dimensionnement du PVSS, en fonction de la consommation d'énergie du système de CSI anisi que des multiples facteurs, tels que la typologie et le nombre de capteurs, la fré quence des mesures., cycle de travail et jours d'autonomie.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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