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A Monitoring System for the Safety of Building Structure Based on W2T Methodology

  • Haiyuan WangEmail author
  • Zhisheng Huang
  • Ning Zhong
  • Jiajin Huang
  • Yuzhong Han
  • Feng Zhang
Chapter
Part of the Web Information Systems Engineering and Internet Technologies Book Series book series (WISE)

Abstract

With the development of the Internet of things, monitoring systems for the safety of building structure (SBS) provide people with the important data about the main supporting points in the buildings. More and more data give the engineers an overload work problem, which can be solved by a systematic method making these monitoring systems more reliable, efficient and intelligent. Under the framework of the Wisdom Web of Things (W2T), we design a monitoring system for the SBS, by using the semantic technology. This system establishes a data cycle among the physical world (buildings), the social world (humans) and the cyber world (computers), and provides various services in the monitoring process to alleviate the engineers’ workload. In this system, the sensors which are connected via cable or wireless way, are used to monitor the different parameters of building structure. The semantic data can be obtained and represented by RDF to describe the meanings of sensor data, and can provide the application background for users. LarKC, a platform for scalable semantic data processing, is used for semantic querying about the data. Based on this uniform representation of data and semantic processing, intelligent services can be provided by the effective data analysis. This provides the possibility to integrate all of the monitoring systems for the safety of building structure in urban computing.

Keywords

Physical World Social World Building Structure Semantic Data SPARQL Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The study was supported by National Natural Science Foundation of China (61272345).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Haiyuan Wang
    • 1
    Email author
  • Zhisheng Huang
    • 1
    • 4
  • Ning Zhong
    • 2
    • 3
  • Jiajin Huang
    • 1
  • Yuzhong Han
    • 5
  • Feng Zhang
    • 5
  1. 1.International WIC InstituteBeijing University of TechnologyBeijingChina
  2. 2.Beijing Advanced Innovation Center for Future Internet Technology, The International WIC InstituteBeijing University of TechnologyBeijingChina
  3. 3.Department of Life Science and InformaticsMaebashi Institute of TechnologyMaebashiJapan
  4. 4.Department of Computer ScienceVrije University AmsterdamAmsterdamThe Netherlands
  5. 5.China Academy of Building ResearchBeijingChina

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