OpenCity: An Open Architecture Testbed for Smart Cities
OpenCity: An Open Architecture Testbed for Smart Cities
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OpenCity：智慧城市的开放架构测试平台
DOI：
10.1109/isc253183.2021.9562813
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
S. Abdelwahed
中科院分区：
文献类型：
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作者：
Nasibeh Zohrabi;Patrick J. Martin;M. Kuzlu;Lauren Linkous;R. Eini;Adam Morrissett;Mostafa Zaman;A. Tantawy;Özgür Güler;Maher Al Islam;Nathan Puryear;Halil Kalkavan;Jonathan Lundquist;Erwin Karincic;S. Abdelwahed
本文介绍了一个开放式架构的智慧城市测试平台，称为OpenCity，由弗吉尼亚联邦大学（VCU）托管。OpenCity平台由数据收集和处理单元、数据库管理、分布式性能管理算法和实时数据可视化组成。这个智慧城市测试平台旨在支持与智慧城市发展相关的各种教育和研究活动。该测试平台提供了一个接近现实生活的平台，让学生了解智慧城市的独特功能，并探索支持技术。此外，它还允许研究人员开发，部署和验证新技术，工具和技术，以支持未来的智慧城市发展。OpenCity平台将支持智能城市的各种正在进行的重要研究方向，包括智能家居和建筑，城市移动，智能电网和水管理。此外，它还可以根据需要进行扩展，以包括其他潜在的应用程序和组件。将通过开发和部署一个侧重于用户体验和资源效率的管理系统来验证该试验平台。管理系统结合了学习技术和基于模型的预测控制方法，以考虑不确定参数的当前和未来信息以及主观数据（例如，设计中的用户相关数据。OpenCity管理结构可对试验台中的复杂组件进行实时控制和监控。
This paper presents an open architecture testbed for smart cities, called OpenCity, which is hosted at Virginia Commonwealth University (VCU). The OpenCity platform consists of data collection and processing units, database management, distributed performance management algorithms, and real-time data visualization. This smart city testbed aims to support various educational and research activities related to smart city development. The testbed provides a near-real-life platform to allow students to learn about the unique features of smart cities and explore supporting technologies. In addition, it allows researchers to develop, deploy, and validate new techniques, tools, and technologies to support future smart city developments. The OpenCity platform will support various ongoing important research directions in smart cities, including smart homes and buildings, urban mobility, smart grid, and water management. In addition, it will be extendable to include other potential applications and components as needed. The testbed will be validated by developing and deploying a management system that focuses on users’ experience and resource efficiency. The management system incorporates learning techniques and model-based predictive control approaches to take into account the current and future information of uncertain parameters as well as the subjective data (e.g., user-related data) in the design. The OpenCity management structure enables real-time control and monitoring of complex components in the testbed.