albettar, maher (2022) Integrated framework of web-based urban simulation support system for communities and cities. Masters thesis, Concordia University.
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Abstract
One of the most important agendas that urban planners and researchers face in the coming decades is to establish new designs that improve the sustainability and resilience of cities. Under the rapid development of Geographic Information System (GIS) technology and the Internet of Things (IoT), these technologies empower urban planners to enhance visibility into data and monitor fluctuations over time, evaluating the feasibility of proposed projects and predicting the effects on the environment, providing a better understanding a city as a multi-scale and multilayer complex system, scenario-testing, and strategic planning, collecting important aggregated data regarding building construction, energy consumption, and occupant wellbeings. However, many of these technologies generate vast amounts of data on some levels that are not detailed enough and are available at different scales, in various formats, and structured and unstructured forms. Usually, urban planners require a large amount of complex data to perform systematic dynamic simulations of many buildings. This adds difficulties to urban planners regarding data aggregation and real-time data management. This leads to an integrative solution for solving offline and online data processing and visualizing tasks and integrating data normalization and filtering techniques. Such solutions are needed to provide researchers with an integrative framework to reduce complexity and improve availability, accuracy, diversity, scalability, and integration efficiency. In this thesis, by analyzing the problems encountered and related requirements, the study leveraged the Niagara IoT framework and GIS integrations to build an integrated framework. The thesis work developed several modules for data preparation, creation, visualization, and integration. These modules simplify the data integration process and make it easier to prepare these data. The visualization and data integration requirements can be simplified with the help of GIS and an easy-to-use integrated framework to provide a real-time sensing system, geographic information system, and database integration system.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering |
|---|---|
| Item Type: | Thesis (Masters) |
| Authors: | albettar, maher |
| Institution: | Concordia University |
| Degree Name: | M.A. Sc. |
| Program: | Electrical and Computer Engineering |
| Date: | 28 November 2022 |
| Thesis Supervisor(s): | Zeng, Yong and Wang, Liangzhu |
| Keywords: | IoT, GIS, urban simulation support system, data integration |
| ID Code: | 991711 |
| Deposited By: | Maher Albettar |
| Deposited On: | 21 Jun 2023 14:30 |
| Last Modified: | 21 Jun 2023 14:30 |
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