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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Smart City Service

Smart City Service
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Author(s): Gang Yu (SILC Business School,Shanghai University, China), Min Hu (SILC Business School,Shanghai University, China), Zhenyu Dai (Shanghai Urban Operation (Group) Co. Ltd., China), Wei Ding (Shanghai Urban Operation (Group) Co. Ltd., China), Ying Chang (Shanghai Urban Operation (Group) Co. Ltd., China), Yi Wang (SILC Business School,Shanghai University, China)and Zhiqiang Li (SILC Business School,Shanghai University, China)
Copyright: 2021
Pages: 29
Source title: AI-Based Services for Smart Cities and Urban Infrastructure
Source Author(s)/Editor(s): Kangjuan Lyu (SILC Business School, Shanghai University, China), Min Hu (SILC Business School, Shanghai University, China), Juan Du (SILC Business School, Shanghai University, China)and Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-7998-5024-3.ch011

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Abstract

Urban infrastructure, a crucial part of the city, is being developed on a large scale under the rapid development of smart cities. The operation and maintenance (O&M) phase is increasingly complex, and the information to be processed is cumulatively massive. So, the significance of urban infrastructure O&M is gradually being realized by the public. Recently, research in Building Lifecycle Management (BLM) and Building Information Modeling (BIM) has partly improved technological innovation and management level of urban infrastructures O&M. However, there are still deficiencies in the research of BIM, VR/AR, internet of things, pervasive computing, big data, and other emerging technologies applied in urban infrastructure O&M, as well as the realization of intelligent service functions. Therefore, based on existing research and oriented to the development need of smart city, this chapter takes “intelligent service for urban infrastructure under the concept of lifecycle” as core to conduct a discussion on how to solve practical problems in the urban infrastructure O&M.

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