Improving facilities lifecycle management using RFID localization and BIM-based visual analytics
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Indoor localization has gained importance as it has the potential to improve various processes related to the lifecycle management of facilities, such as the manual search to find assets.In the operation and maintenance phase, the lack of standards for interoperability and the difficulties related to the processing of large amount of accumulated data from different sources cause several process inefficiencies.For example, identifying failure cause-effect patterns in order to prepare maintenance plans is difficult due to the complex interactions and interdependencies between different building components and the existence of the related data in multiple, fragmented sources.Building Information Modelling (BIM) is emerging as a method for creating, sharing, exchanging and managing the information throughout the lifecycle of buildings.Radio Frequency Identification (RFID), on the other hand, has emerged as an automatic data collection technology, and has been used in different applications for the lifecycle management of facilities.The previous research of the author proposed permanently attaching RFID tags to assets where the memory of the tags is populated with their accumulated lifecycle information taken from a standard BIM database to enhance various lifecycle processes.This thesis builds on this framework and investigates several methods for supporting lifecycle management processes of assets by using BIM, RFID iv and visual analytics.It investigates the usage of location-related data that can be retrieved from a BIM and are stored on RFID tags.It also investigates the usage of RFID technology for indoor localization of RFID-equipped assets using handheld readers.The research proposes using the location data saved on the tags attached to fixed assets to locate them on the floor plan.These tags also act as reference tags to locate moveable assets using received signal pattern matching and clustering algorithms.Additionally, the research investigates extending BIM to incorporate RFID information.It provides the opportunity to interrelate BIM and RFID data using predefined relationships.For this purpose, a requirements' gathering is performed to add new entities, data types, relationships, and property sets to the BIM.Moreover, the research investigates the potential of BIM visualization to help facilities managers make better decisions in the operation and maintenance phase of the lifecycle.It proposes a knowledge-assisted BIMbased visual analytics approach for failure root-cause detection in facilities management where various sources of lifecycle data are integrated with a BIM and used for interactive visualization exploiting the heuristic problem solving ability of field experts.v ACNOWLEDGEMENT My greatest appreciation goes to my supervisor, Dr. Amin Hammad for his intellectual and personal
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 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 découle