GIS-inventory and condition rating of water supply system at McGill Downtown Campus
Notice bibliographique
Résumé
The research project presents a framework for developing a detailed Geographic Information System (GIS) inventory and condition rating of the water supply system at McGill Downtown Campus (MDC), based on the previous work by Sipos (2006), and Sipos and Mirza (2008). The GIS, consisting of a comprehensive geo-referenced base-map with the water supply system and other infrastructure features at MDC, was developed employing a Bentley software platform. Several non-destructive evaluation (NDE) tests were performed for detection, location and condition assessment of the water supply system at MDC. Based on the data edited in the GIS, including historical engineering data and the data acquired from in-situ NDE testing, an algorithm was developed for condition rating of the water supply pipes, incorporating 31 parameters, which can possibly contribute to the deterioration of the water pipes, and influence their service lives adversely. The rating scores provided by the algorithm were incorporated in the base map by implementing a color-coded system. An application was also developed, aimed at displaying a calculation summary of the rating score for the water pipes directly on the base-map. The project also discusses the current state of the water supply infrastructure in Canada, the related problems and needs. The various NDE methodologies which can be successfully employed for detection and condition assessment of the water supply systems are presented, along with several recommendations for use. The details for developing a schema for inventory and condition assessment, and the quantification of the influence of each parameter considered in the rating algorithm, are also provided. Condition rating of the water supply pipes at MDC is performed by implementing the proposed framework and the analysis results are discussed. The conclusions and the recommendations and the future research needs are proposed. The original contributions to the field of knowledge are also summarized. The framework is aimed at developing a powerful tool for management, operation and prioritization for repair / rehabilitation / replacement of the water supply systems in any municipality in Canada, and other infrastructure systems, provided the framework is adapted for the specific characteristics of the different infrastructure systems and the environmental, operation and other varying local conditions.
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.
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 ».