- 年份:2019 年
- 編號:87
- Topic分類:6
- Topic分數:1
- Publish:Library Hi Tech
- 作者:Yi Xie, Jia Liu, Shufan Zhu, Dazhi Chong, Hui Shi, Yong Chen
Keywords:Risk management, Internet of Things (IoT), Building automation, Library construction, Library renovation, Industrial information integration engineering
Abstract:An IoT-based risk warning system for smart libraries PurposeWhen integrating smart elements offered by emergent technologieslibraries are facing the challenges of technological renovation and maintaining their operation using emerging technologyGiven the importance of smart librarynew technologies are needed in building new libraries or renovation of existing librariesThe purpose of this paper is to propose a risk warning system for library construction or renovation in the aspect of risk managementDesignmethodologyapproachThe proposed Internet of ThingsIoT-based system consists of sensors that automatically monitor the status of materialsequipment and construction activities in real timeAI techniques including case-based reasoning and fuzzy sets are appliedFindingsThe proposed system can easily track material flow and visualize construction processesThe experiment shows that the proposed system can effectively detectmonitor and manage risks in construction projects including library constructionOriginalityvalueCompared with existing risk warning systemsthe proposed IoT-based system requires less data for making dynamic predictionsThe proposed system can be applied to new builds and renovation of librariesThe system can be applied to the new and refurbished libraryBut the specific part of the librarythe focus of this research is that the risk management of the librarys construction or renovation processnot specific library servicessuch as automation and consultationThereforecompared with the above library partsuch as automationconsulting servicesetcthis is more about risk management of library buildings or renovationThe system proposed in this study is based on the Internet of ThingsIoTThe system includes sensors that automatically monitor materialsequipment and construction activitiesIn additionthe system also applies AI technologyincluding case-base reasoning and fuzzy setsCase reasoning is an expert system that can solve new problems based on past experience
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