Accuracy Assessment of UWB for Locating Resources on Construction Sites
Notice bibliographique
Résumé
Continuous construction site monitoring and resource tracking can assist in ensuring workers’ safety, efficient materials handling and inventory tracking, timely use of resources, and theft prevention. Traditionally, on site data are collected manually, which is an error-prone, costly and time consuming task, particularly in large scale projects. Automated tracking can improve the management of construction projects through effective site monitoring. Based on the comparative evaluation of remote sensing technologies applicable to tracking conducted in this dissertation, Ultra-Wide Band (UWB) technology is shown to be efficient under dynamic characteristics and the harsh environment of construction sites. The use of UWB tracking systems for construction site applications has attracted the attention of researchers in recent years. However, to enable an effective application, it is important to establish the accuracy of its location estimation and its performance under suboptimal conditions of construction sites, which has not been systematically addressed in previous studies. Expanding on previous research, this dissertation presents a systematic approach towards assessing the accuracy of UWB Real-time Location Estimation System (RTLS) in both static and dynamic modes under conditions that can commonly occur on construction sites. A number of variables affecting the performance of the UWB technology in construction sites were identified that have not been addressed or conclusively treated previously; namely: the presence of metal objects that reflect UWB signals; best signals being blocked by other objects; tracking metal objects; removing the timing cables; tracking multiple tags simultaneously; decreased number of receivers; tracking resources with increasing velocities; tracking multiple tags to identify the orientation of the resource and tracking static and dynamic resources simultaneously. Series of experiments were conducted in which the impact of each condition was simulated by changing a variable. Each experiment was designed to reflect a scenario that commonly occurs on indoor construction sites. The experiments were carried out in two different environments, a laboratory and an active workshop. The accuracy and the relative error of location estimations were calculated for each experiment and the effects of influential variables were quantified. In this context, representative correlations were established between the accuracy and different influential variables. For all the experiments carried out here, more than 96% of the measurements in both 2D and 3D achieved an accuracy of less than 1 metre. On the basis of the results achieved in this work, recommendations have been provided for effective utilisation of the UWB technology in detecting objects and resources on construction sites. The findings of this research are essential to assess the feasibility of using UWB RTLS for different construction site applications, such as material handling and safety management.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».