Data integration platform for smart and connected cities

Austin Harris, Mina Sartipi
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引用次数: 1

Abstract

By exploiting IoT technologies and smart sensors, smart and connected cities acquire massive amounts of urban data critical for various urban operations, applications, and services. Data allows cities to identify the underlying urban rhythm in real time and understand the history of the urban transformation. Cities can use this data to determine the priorities and challenges that once addressed can improve the citizen's quality of life. Implementing reliable infrastructure to ingest data produced within these cities creates many challenges such as scalability, reliability, availability, and fault-tolerance. Using these challenges as design considerations, we propose a data integration architecture design that has been implemented on our urban testbed and is currently in use. Our contributions will accelerate further urban development initiatives by providing a integration platform that can easily be deployed within other testbeds.
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智慧互联城市数据集成平台
通过利用物联网技术和智能传感器,智能互联城市获取大量城市数据,这些数据对各种城市运营、应用和服务至关重要。数据使城市能够实时识别潜在的城市节奏,并了解城市转型的历史。城市可以利用这些数据来确定优先事项和挑战,一旦解决这些问题,就可以改善市民的生活质量。实现可靠的基础设施来摄取这些城市中产生的数据会带来许多挑战,例如可伸缩性、可靠性、可用性和容错性。将这些挑战作为设计考虑因素,我们提出了一种数据集成架构设计,该设计已在我们的城市测试平台上实现,目前正在使用中。我们的贡献将通过提供一个集成平台来加速进一步的城市发展计划,该平台可以很容易地部署在其他测试平台中。
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