Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

UAV based Photogrammetry Applications for Project Planning and Control: Case Studies on Earthwork Projects

Aimed to improve productivity and performance of construction projects, the project applied unmanned aerial vehicles (UAVs) to collect the data of the construction site periodically. Images of the site will be captured with cameras carried on the UAV platform. The construction site will be monitored with the images and the 3D information recovered from the captured imageries. The system will be applied to provide quantitative data for project plan optimization and project control automation. A GIS based system will be integrated in order to manage the georeferenced images with location information. Earthwork planning optimization, and automated scheduling method and computer tools will be proposed and validated on case studies in the real world. The proposed optimization methods will be continuously applied with the timely input from the UAV system so as to provide just-in-time decision support for project management and execution in the field.

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Superviseur du corps professoral :

Ming Lu

Étudiant :

Partenaire :

Ledcor (Edmonton, AB)

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Alberta

Programme :

Accelerate

Passive CO2 Refrigerated Intermodal Shipping Container

Ultra-low frozen food temperatures between -30°C to -60°C are important when shipping high value seafood products to worldwide markets. Maintaining these temperatures using a traditional vapor compression refrigeration cycles becomes increasingly difficult as the span between desired cargo and external temperature increase. Solid CO2 has the capacity to sustain ultra-low frozen temperatures even during hot summer days using a passive, non-mechanical refrigeration system. CryoLogistics Refrigeration Technologies will pursue in conjunction with the Coldstar Solutions and the University of Victoria innovative technologies to optimize CO2 as an efficient, effective and reliable cryogenic transportation refrigeration system. New intellectual property will be development and a small scale prototype manufactured. Together these technologies will provide a range of frozen shipping solutions to the cold chain industry.

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Superviseur du corps professoral :

Andrew Rowe

Étudiant :

Partenaire :

CryoLogistics Refrigeration Technologies Ltd;Cold Star Freight Systems Inc

Discipline :

Engineering

Secteur :

Transportation and warehousing

Université :

University of Victoria

Programme :

Accelerate

Condition Based Maintenance and System Design Improvement of Engineering System through Machine Health Monitoring

Reliability of an engineering system is quite advantageous in modern industries. An effective maintenance strategy and improved system design can enhance the level of system reliability and decrease the operating cost. With the development of sensor technology, data acquisition devices, data mining algorithms and data processing capability, conditions of the running engineering system including the significant components of the system can be monitored. This research project is aiming to utilize the monitored condition of the engineering system to develop more cost effective maintenance strategies that can save operation cost as well as can prevent any catastrophic system failure. On the other hand, the information from the conditions
of the running engineering system can provide useful information about the quality of the current system design. This research project is also aiming to achieve design improvement of the current system with the data from machine health monitoring system.

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Superviseur du corps professoral :

Clarence de Silva

Étudiant :

Partenaire :

Istuary Innovation Labs Inc (Vancouver, BC)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Validation de la neige et de la précipitation verglaçante de la nouvelle base de données du Climat Reconstruit à Ouranos pour le Québec (CROQ)

Pour évaluer les changements climatiques, le climat passé doit être connu. Au Québec, surtout au nord de la vallée du St-Laurent, ceci est rendu complexe par des observations météorologiques éparses temporellement et spatialement et disponibles sur des courtes périodes. Ceci peut être pallié grâce à des modèles numériques climatiques pouvant recréer le climat passé. Les simulations ainsi produites doivent cependant être analysées et validées pour que leurs paramètres météorologiques puissent être considérés comme des pseudo-observations représentatives du climat passé. De telles simulations ont été produites à Ouranos, analysées et validées.
Ce projet vise à vérifier dans quelle mesure la neige et la pluie verglaçante simulées reproduisent les observations disponibles. Pour ce faire, les variables simulées seront comparées à plusieurs jeux d’observations existants et à certains cas notables bien documentés (e.g. tempête de verglas de 1998). Ceci servira à plusieurs partenaires d’Ouranos, comme Hydro-Québec, qui sont particulièrement sensibles à ces variables.

Voir la description complète du projet
Superviseur du corps professoral :

Rene Laprise

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec;Ouranos Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services; Utilities

Université :

Université du Québec à Montréal

Programme :

Accelerate

Implantation et validation d’une nouvelle approche de navigation chirurgicale en chirurgie orthopédique

Malgré la précision inhérente des éléments matériels des systèmes de navigation chirurgicale existants, la façon dont ils sont couramment utilisés en chirurgie orthopédique introduit une imprécision en limitant l’intérêt clinique. Les chirurgies pratiquées comportent des étapes importantes pouvant bénéficier d’un guidage fiable et reproductible pour leur réalisation afin d’en optimiser le résultat, entre autres en rétablissant une fonction articulaire plus proche de celle d’une articulation en santé. L’objectif du système développé est de permettre une analyse précise et reproductible du mouvement articulaire et de guider, de façon tout aussi précise et reproductible, les étapes clé de diverses procédures chirurgicales orthopédiques. Eiffel Medtech a développé divers outils devant constituer ce système et est sur le point de pouvoir l’utiliser dans le contexte clinique. Avant cela cependant, il est nécessaire d’utiliser des méthodes novatrices pour parfaire le recalage entre un modèle 3D personnalisé, obtenu à partir d’imagerie médicale préopératoire et les références anatomiques peropératoires, obtenues par échographie. La reproductibilité et la validité des mesures produites devront ensuite être évaluées. Le projet soumis s’inscrit donc dans cette démarche.

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Superviseur du corps professoral :

David Labbé;Jacques de Guise

Étudiant :

Partenaire :

Eiffel Medtech Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Quantifying Erosional Processes to Inform Management Policy

Mistaken Point, Newfoundland, is not only a globally unique scientific resource for studying the rise of animal-life, but also a growing tourist destination. As the locality looks towards obtaining World Heritage status, it is essential that steps are taken to ensure that any development of the tourist industry does not adversely affect the long term conservation of the fossils. This project, using modern 3D modelling and experimental techniques will examine the historic effects of visitors to the rock outcrops, as well as test strategies for reducing footwear based abrasion of the specimens. Outcomes will not only inform management and conservation policies, but also provide for lasting confidence that the geotourism industry is not harming the very resources it is founded upon.

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Superviseur du corps professoral :

Duncan McIlory

Étudiant :

Partenaire :

Southern Avalon Development Association;ND Dobbin;Legendary Coasts Eastern NL

Discipline :

Earth science

Secteur :

Management of companies and enterprises

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Geological controls on strainburst risk in deep mining drifts

A strainburst is a sudden violent failure of rock triggered around a tunnel boundary. They are often unpredictable and pose an extreme risk to workers in deep underground mines and tunnels. The goal of this project is to investigate the fundamental mechanisms by which these failures can occur. This knowledge will be used to better identify high risk environments and to design risk mitigation strategies that target site specific failure mechanisms. These objectives will be completed through an analysis of a large strainburst database to classify events, field measurements of rockmass properties, site investigations of the geological environments associated with strainbursts, and numerical modeling to investigate potential failure mechanisms. The benefit of this project to Vale is a better understanding of the failure mechanisms specific to Vale mines in Sudbury, Ontario. This knowledge will help prevent future injuries to workers and help to prevent costly delays to production.

Voir la description complète du projet
Superviseur du corps professoral :

Steve McKinnon

Étudiant :

Partenaire :

Vale Canada Limited (Copper Cliff, ON);Centre for Excellence in Mining Innovation

Discipline :

Engineering

Secteur :

Mining; Transportation (excluding aerospace)

Université :

Queen's University

Programme :

Accelerate

Conception d’une application mobile de terrain novatrice supportant l’inventaire archéologique

Le projet vise à développer et concevoir un prototype de solution géomatique mobile de terrain venant appuyer les archéologues dans le cadre de sorties de terrain d’inventaire et de prospection. L’objectif est de pouvoir répondre, avec la solution proposée, aux différents besoins qui sont exprimés tant par la communauté scientifique que professionnelle, ainsi qu’aux exigences des promoteurs et ministères. De la même manière, ce projet vise à rapprocher le terrain du traitement et de l’analyse des données, généralement réalisés en laboratoire après l’intervention. À cette fin, différentes fonctionnalités géomatiques intégrées à l’application mobile seront envisagées, afin d’assister la réalisation des interventions sur le terrain, tel que des outils de localisation GPS et l’intégration de données géospatiales, mais également afin de permettre l’enregistrement de données descriptives géoréférencées, de photographies et de notes de terrains.

Voir la description complète du projet
Superviseur du corps professoral :

Mickael Germain

Étudiant :

Partenaire :

Centre de géomatique du Québec

Discipline :

Sociology

Secteur :

Information and Communications Technology

Université :

Université de Sherbrooke

Programme :

Accelerate

Investigation of production techniques for composite materials

The project will deal with the identification of the mechanical, thermal, and electrical properties of a series of untested composite materials manufactured by Zerocor. By undergoing rigorous mechanical, thermal, and electrical testing, a database of properties for these materials can be constructed. Comparing these properties with the materials’ microscopic internal structure, one can establish structure-property relationships as a benchmark for the use of predicting material properties in the future. All this will allow Zerocor, currently involved mainly in the development and supplying of resin-based pipe coatings for the oil and gas industry, to optimize their production and manufacturing cycles, as well as to expand their customer base to other
companies and industries with a vested interest in high-performance composites.

Voir la description complète du projet
Superviseur du corps professoral :

Hani Naguib

Étudiant :

Partenaire :

Carbon Upcycling Technologies Inc

Discipline :

Engineering

Secteur :

Construction and infrastructure; Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

High Impedance Fault Detection System

A High Impedance fault (HIF) occurs when an energized primary conductor comes in contact with a semi-insulated object such as tree, structure or equipment, or falls to the ground. HIFs on distribution systems are extremely difficult to detect because they do not generate enough fault current to be detectable by conventional overcurrent relays or fuses. HIFs do not pose imminent danger to power system equipment because they have very little fault current. However, they are a considerable threat to public safety. A common detection algorithm applied to HIFs devices is to observe the fault currents’ third harmonic and the change in angle, but this algorithm is difficult to differentiate between HIFs and low nonlinear loads. A new detection algorithm based on impedance measurement has been put forward by Dr. Jose Marti’s research group in University of British Columbia (UBC). We are going to apply this new method in HIFs detection to differentiate between HIFs and the non-fault state of an open circuit or normal load conditions. We will program this new algorithm in BC Hydro’s distribution system protective devices with sufficient embedded computing capabilities, and verify this new detection algorithm. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Jose Marti

Étudiant :

Partenaire :

BC Hydro (Vancouver, BC);BC Hydro

Discipline :

Engineering

Secteur :

Utilities

Université :

The University of British Columbia

Programme :

Accelerate

Application of Machine Learning Methods in Vancouver Island Supply Capability Determination

This project is a feasibility study of applying Machine Learning to Vancouver Island Load Supply Capability determination. The intern is expected to apply neural networks and other machine learning methods to train a transmission operation decision making model to determine the load supply capability of Vancouver Island. An operation scenario database covering equipment status and load information will be generated as the training data to the decision making model. The proposed project will improve the transmission operation of BC Hydro by avoiding over-control, such as unnecessary generator shedding and transmission line tripping. In addition, instead of the current practice, no equations are needed anymore in the operating orders, thus it will save huge amount of human efforts for developing these equations. Furthermore, the proposed project will make it easy for engineers and operators to do sensitivity check, better understanding of system operation will be gained.

Voir la description complète du projet
Superviseur du corps professoral :

Jose Marti

Étudiant :

Partenaire :

BC Hydro (Vancouver, BC);BC Hydro

Discipline :

Engineering

Secteur :

Utilities

Université :

The University of British Columbia

Programme :

Accelerate

Solid waste management: recovery and treatment evaluation

Waste management objective is the protection of the environment and human health while encouraging resource recovery. Recycling generates income and provide many environmental benefits. Florianopolis is a growing city in one of the faster development economies in the global south (BRICS). At the same time, environmental legislation promotes a sustainable development of the city. The project aims to asses local waste control activities to determine potentially relevant improvement opportunities. Based on the characteristics of channels and associated to local conditions, multiple-criteria decision analysis will produce a hierarchy of scenarios. This prioritization approach will target the strengths and weaknesses of potential solutions with regard to the local conditions. This approach will act as a powerful policy tool easy to follow by local actors in the decision-making process.

Voir la description complète du projet
Superviseur du corps professoral :

Mathias Glaus

Étudiant :

Partenaire :

Universidade Federal de Santa Catarina

Discipline :

Engineering

Secteur :

Education

Université :

École de technologie supérieure

Programme :

Globalink Research Award