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作为协同智能区域的智慧城市：迈向共生信息物理系统环境之路。

Smart City as Cooperating Smart Areas: On the Way of Symbiotic Cyber-Physical Systems Environment.

作者信息

Tricomi Giuseppe, Giacobbe Maurizio, Ficili Ilenia, Peditto Nicola, Puliafito Antonio

机构信息

ICAR-CNR: Institute of High-Performance Computing and Networking (ICAR) of National Research Council of Italy (CNR), 80131 Napoli, Italy.

Department of Engineering at University of Messina, 98100 Messina, Italy.

出版信息

Sensors (Basel). 2024 May 14;24(10):3108. doi: 10.3390/s24103108.

DOI:10.3390/s24103108
PMID:38793967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11124797/
Abstract

The arising of the Cyber-Physical Systems' vision and concepts drives technological evolution toward a new architectural design for the infrastructure of an environment referred to as a Smart Environment. This perspective alters the way systems within Smart City landscapes are conceived, designed, and ultimately realized. Modular architecture, resource-sharing techniques, and precise deployment approaches (such as microservices-oriented or reliant on the FaaS paradigm) serve as the cornerstones of a Smart City cognizant of multiple Cyber-Physical Systems composing it. This paper presents a framework integrating Digital Decisioning, encompassing the automated combination of human-derived knowledge and data-derived knowledge (e.g., business rules and machine learning), to enhance decision-making processes and application definition within the Smart City context.

摘要

网络物理系统愿景和概念的出现推动了技术朝着一种新的架构设计发展，这种架构设计用于一种被称为智能环境的基础设施。这种观点改变了智慧城市环境中系统的构思、设计以及最终实现的方式。模块化架构、资源共享技术以及精确的部署方法（如面向微服务或依赖函数即服务范式）是由多个构成它的网络物理系统所认知的智慧城市的基石。本文提出了一个集成数字决策的框架，该框架涵盖了人工知识和数据知识（如业务规则和机器学习）的自动结合，以增强智慧城市背景下的决策过程和应用定义。

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