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An IoT-based risk warning system for smart libraries

Yi Xie (Changsha University of Science and Technology, Changsha, China)
Jia Liu (Zhongnan University of Economics and Law, Wuhan, China)
Shufan Zhu (Wuhan University of Technology, Wuhan, China)
Dazhi Chong (California Lutheran University, Thousand Oaks, California, USA)
Hui Shi (Computer Information Systems Department, California State Polytechnic University, Pomona, California, USA)
Yong Chen (A. R. Sanchez, Jr. School of Business, Texas A&M International University, Laredo, Texas, USA)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 11 July 2019

Issue publication date: 25 October 2019

978

Abstract

Purpose

When integrating smart elements offered by emergent technologies, libraries are facing the challenges of technological renovation and maintaining their operation using emerging technology. Given the importance of smart library, new technologies are needed in building new libraries or renovation of existing libraries. The purpose of this paper is to propose a risk warning system for library construction or renovation in the aspect of risk management.

Design/methodology/approach

The proposed Internet of Things (IoT)-based system consists of sensors that automatically monitor the status of materials, equipment and construction activities in real time. AI techniques including case-based reasoning and fuzzy sets are applied.

Findings

The proposed system can easily track material flow and visualize construction processes. The experiment shows that the proposed system can effectively detect, monitor and manage risks in construction projects including library construction.

Originality/value

Compared with existing risk warning systems, the proposed IoT-based system requires less data for making dynamic predictions. The proposed system can be applied to new builds and renovation of libraries.

Keywords

Acknowledgements

This research is supported by National Natural Science Foundation of China under Grant No. 71603284, Humanity and Social Science Research Foundation of Ministry of Education No. 16YJC630068 and China Postdoctoral Science Foundation Grant Nos 2019T120718 and 2018M630918.

Citation

Xie, Y., Liu, J., Zhu, S., Chong, D., Shi, H. and Chen, Y. (2019), "An IoT-based risk warning system for smart libraries", Library Hi Tech, Vol. 37 No. 4, pp. 918-932. https://doi.org/10.1108/LHT-11-2017-0254

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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