智能城市作为合作的智能区域:在共生网络物理系统环境的道路上
Giuseppe Tricomi1,2,3, Maurizio Giacobbe4, Ilenia Ficili2,3
1ICAR-CNR: Institute of High-Performance Computing and Networking (ICAR) of National Research Council of Italy (CNR), 80131 Napoli, Italy.
Sensors (Basel, Switzerland)
|May 25, 2024
概括
本研究介绍了智能环境的框架,利用网络物理系统和模块化架构. 它通过整合人类和数据知识来增强智能城市决策,以更好地定义应用程序.
科学领域:
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 智能环境的发展是由网络物理系统 (CPS) 推动的.
- 智慧城市基础设施需要新的建筑设计,重点关注模块化和高效部署.
- 现有系统需要加强,以整合多样化的知识来源.
研究的目的:
- 为智能城市整合数字决策提出一个框架.
- 通过结合人类和数据衍生的知识来增强决策过程.
- 在复杂的智能城市环境中改进应用定义.
主要方法:
- 制定一个整合数字决策的框架.
- 自动化人类衍生知识 (例如业务规则) 和数据衍生知识 (例如机器学习) 的组合.
- 使用模块化架构,资源共享和精确部署 (微服务,FaaS).
主要成果:
- 拟议的框架加强了智能城市的决策过程.
- 它为智能应用程序的各种知识来源的自动结合提供了便利.
- 整合支持更强大,更适应性的智能城市基础设施.
结论:
- 数字决策框架对于推进智慧城市能力至关重要.
- 整合多种知识来源优化了决策和应用程序开发.
- 这种方法支持实现复杂的,CPS意识的智能环境.
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