Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications
  • Fei Liu1,2, Yunkai Zhang1,2, Jian Zhang3,*
1 School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 102616, China
2 Beijing Advanced Innovation Center for Future Urban Design, Beijing, 102616, China
3 School of Science, Beijing University of Civil Engineering and Architecture, Beijing, 102616, China
* Corresponding Author: Jian Zhang. Email: Jianzhang1452@outlook.com
(This article belongs to this Special Issue:Reinventing Digitalization with Digital Twin Technology)
Received 19 June 2021; Accepted 15 December 2021 ; Published online 24 March 2022
Abstract
A core element of the sustainable approach to global living quality improvement can now become the intensive and organized usage of underground space. There is a growing interest in underground building and growth worldwide. The reduced consumption of electricity, effective preservation of green land, sustainable wastewater and sewage treatment, effcient reverse degradation of the urban environment, and reliable critical infrastructure management can improve the quality of life. At the same time, technological innovations such as articial intelligence (AI), cloud computing (CC), the Internet of Things (IoT), and big data analytics (BDA) play a signicant role in improved quality of life. Hence, this study aims to integrate the technological innovations in urban underground engineering to ensure a high quality of life. Thus, this study uses big data analytics to carry out the status quo of foundation treatment and proposes a conceptual framework named the BDA with IoT on urban underground engineering (BI0T-UUE). This framework connects hidden features with various high-level sensing sources and practical predictive model characterization to lower building costs, productive infrastructure management, preparedness for disasters, and modern community smart services. The IoT integration gives an optimum opportunity to work towards the functionality of “digital doubles” of secret infrastructure, both economical and scalable, with the increasing sophistication and tooling of the underworld. The simulation analysis ensures the highest effciency and cost-effectiveness of the underground engineering with a value of 96.54% and 97.46%.
Keywords
Underground engineering; internet of things; big data analytics; status quo; economic and social; smart city