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Intelligent Engineering Construction Management: Long-Distance Construction Management
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Author(s): Min Hu (SILC Business School, Shanghai University, China), Gang Li (Shanghai Tunnel Engineering Co. Ltd., China), Xidong Liu (Shanghai Tunnel Engineering Co. Ltd., China), BingJian Wu (SILC Business School, Shanghai University, China), Yannian Wang (Shanghai Tunnel Engineering Co. Ltd., China), Zhongming Wu (Shanghai Tunnel Engineering Co. Ltd., China)and Qian Zhang (SILC Business School, Shanghai University, China)
Copyright: 2021
Pages: 28
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.ch008
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Abstract
Urban infrastructure has a large regional span and long cycle, so it has the significant characteristics of large amounts of engineering data, strong surrounding environment uncertainty, and high engineering risk. This chapter explains how to fuse the heterogeneous information of BIM and GIS models to realize smooth roaming through the lightweight and hierarchical processing of the model. Aiming at multi-dimensional and high-frequency time series data, this chapter introduces the MFAD-URP abnormal event diagnosis model based on the meta-feature extraction and self-encoding recursive map technology, which is used for early warning of emergency events, and introduces the method of comprehensive engineering emergency management information system and disposal process design after emergencies. The chapter takes the remote intelligent management of the shield tunnel engineering as an example and describes how to build a platform-level multi-engineering information management system to provide effective remote guidance on issues such as progress and safety.
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