Victor Ariel Leal Sobral, Jacob D. Nelson, Loza Asmare, Abdullah Mahmood, Glen Mitchell, Kwadwo Tenkorang, Conor Todd, Brad Campbell, J. Goodall
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引用次数: 0
摘要
收集、存储和提供对物联网(IoT)数据的访问是许多智慧城市项目的基本任务。然而,开发和集成物联网系统仍然是一个重要的进入障碍。在这项工作中,我们将以洪水预警为例,分享物联网智慧城市应用的云数据存储和可视化工具的开发见解。开发的系统集成了可扩展、自主和廉价的功能,允许用户监控实时环境条件,并创建基于阈值的警报通知。该系统内置在Amazon Web Services (AWS)中,利用无服务器技术进行传感器数据备份,利用关系数据库进行数据管理,利用图形用户界面(GUI)进行数据可视化和警报。RESTful API允许与基于web的开发环境(如Jupyter notebook)轻松集成,以进行高级数据分析。该系统可以从使用物联网(TTN)部署的LoRaWAN传感器获取数据。在为不同的用例部署系统时,成本分析可以支持用户的计划和决策。该系统的概念验证演示是在弗吉尼亚州夏洛茨维尔市一个洪水多发的郊区分水岭部署了河流和天气传感器。
A Cloud-Based Data Storage and Visualization Tool for Smart City IoT: Flood Warning as an Example Application
Collecting, storing, and providing access to Internet of Things (IoT) data are fundamental tasks to many smart city projects. However, developing and integrating IoT systems is still a significant barrier to entry. In this work, we share insights on the development of cloud data storage and visualization tools for IoT smart city applications using flood warning as an example application. The developed system incorporates scalable, autonomous, and inexpensive features that allow users to monitor real-time environmental conditions, and to create threshold-based alert notifications. Built in Amazon Web Services (AWS), the system leverages serverless technology for sensor data backup, a relational database for data management, and a graphical user interface (GUI) for data visualizations and alerts. A RESTful API allows for easy integration with web-based development environments, such as Jupyter notebooks, for advanced data analysis. The system can ingest data from LoRaWAN sensors deployed using The Things Network (TTN). A cost analysis can support users’ planning and decision-making when deploying the system for different use cases. A proof-of-concept demonstration of the system was built with river and weather sensors deployed in a flood prone suburban watershed in the city of Charlottesville, Virginia.
期刊介绍:
Smart Cities (ISSN 2624-6511) provides an advanced forum for the dissemination of information on the science and technology of smart cities, publishing reviews, regular research papers (articles) and communications in all areas of research concerning smart cities. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, with no restriction on the maximum length of the papers published so that all experimental results can be reproduced.