Evaluation of Smart Infrastructure Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness, and Sustainability

Songze Wu, Zhiyuan Yang, Weixi Bi, Hao Yuan, Andrew Lu, Sinuo Zhao, Longfei Zhou, Yajun Fang
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引用次数: 2

Abstract

Rapid urbanization nowadays demands the stable functioning of a city’s infrastructure, but the traditional infrastructure system faces numerous challenges: unpreparedness for extreme situations, aging and deterioration of existing facilities, costly maintenance, and lack of coordination. Moreover, the transformation from traditional infrastructure into smart infrastructure introduces new challenges both from the underdevelopment of information network and the limitation of AI technologies. In this paper, we evaluate, from the UV perspective, the challenges of the infrastructure system and the current status of the smart infrastructure system based on the framework of closed feedback control loops: data acquisition, communication, decision making, and action. We propose that an effective smart infrastructure system should take into consideration the interaction between the smart infrastructure system and other seven smart city subsystems: smart home, smart medicine and healthcare, intelligent transportation, urban planning and crowd management, smart energy management, smart response for city emergency, smart environmental protection, and smart humanity, and also study how the smart infrastructure system would be affected by four major impacting factors of smart cities: information flow, material cycle, lifestyle, and community. This systematic study will help us explore in-depth the complicated dynamic relationship between multiple impacting factors and propose a UV-oriented, integrated, resilient, inclusive, and sustainable development framework design to address current imminent challenges and to improve the efficiency and safety of city infrastructure through vulnerability-oriented sensing and active monitoring; defining shared responsibilities; communication reinforcements; data visualization; static and dynamic data integration; hierarchical decision making; and optimized and coordinated demand response management.
智能基础设施系统的评估和面向紫外线的一体化、弹性、包容性和可持续性新解决方案
如今,快速城市化要求城市基础设施的稳定运行,但传统的基础设施系统面临着许多挑战:对极端情况的准备不足、现有设施的老化和退化、昂贵的维护以及缺乏协调。此外,从传统基础设施向智能基础设施的转变带来了信息网络不发达和人工智能技术局限性的新挑战。在本文中,我们从UV的角度评估了基于封闭反馈控制回路框架的基础设施系统的挑战和智能基础设施系统的现状:数据采集、通信、决策和行动。我们建议,一个有效的智慧基础设施系统应该考虑到智慧基础设施系统与其他七个智慧城市子系统之间的相互作用:智慧家居、智慧医疗、智慧交通、城市规划与人群管理、智慧能源管理、智慧城市应急响应、智慧环保、智慧人文,研究智慧城市的信息流、物质循环、生活方式、社区四大影响因素对智慧基础设施系统的影响。通过系统的研究,深入探讨多种影响因素之间复杂的动态关系,提出面向紫外线、综合、弹性、包容和可持续的发展框架设计,以应对当前迫在眼前的挑战,通过面向脆弱性的感知和主动监测,提高城市基础设施的效率和安全性;确定共同的责任;沟通增援;数据可视化;静态与动态数据集成;分级决策;优化协调需求响应管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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