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
Part of the Web Information Systems Engineering and Internet Technologies Book Series book series (WISE)


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.


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.



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


  1. 1.
    N. Zhong, J.M. Liu, Y.Y. Yao, Envisioning intelligent information technologies through the prism of web intelligence. Commun. ACM 50(3), 89–94 (2007)CrossRefGoogle Scholar
  2. 2.
    N. Zhong, J.H. Ma, R.H. Huang et al., Research challenges and perspectives on Wisdom Web of Things (W2T). J. Supercomput. 64(3), 862–882 (2013)CrossRefGoogle Scholar
  3. 3.
    N. Zhong, J.M. Liu, Y.Y. Yao, Advances in web intelligence, in Chinese Web Intelligence and Web Science book series, vol. 1 (Higher Education Press, Beijing, 2011), pp. 4–10Google Scholar
  4. 4.
    S. Amit, H. Cory, Semantic sensor web. IEEE Internet Comput. 78–83 (2008)Google Scholar
  5. 5.
    K. Shyamaladevi, T.T. Mirnalinee, Integration of semantics, sensors and services on the ubiquitous web, in International Conference on Recent Trends in Information Technology (2012), pp. 168–173Google Scholar
  6. 6.
    D. Fensel, F. Van Harmelen, B. Andersson, P. Brennan, H. Cunningham, E.D. Valle, et al., Towards LarKC: a platform for web-scale reasoning, in 2008 IEEE International Conference on Semantic Computing (2008), pp. 524–529Google Scholar
  7. 7.
    Z.S. Huang, N. Zhong, Scalable semantic data processing: platform, technology and applications, in Chinese Web Intelligence and Web Science book series, vol. 2 (Higher Education Press, Beijing, 2012), pp. 5–12Google Scholar
  8. 8.
    E.D. Valle, I. Celino, D. Dell’Aglio, R. Grothmann, F. Steinke, V. Tresp, Semantic traffic-aware routing using the larkc platform. Internet Comput. IEEE 15(6), 15–23 (2012)CrossRefGoogle Scholar
  9. 9.
    H.Y. Wang, Z.S. Huang, N. Zhong, J.J. Huang, Y.Z. Han, F. Zhang, An intelligent monitoring system for the safety of building structure under the w2t framework. Int. J. Distrib. Sens. Netw. 1, 2015 (2015)Google Scholar
  10. 10.
    H.Y. Wang, Y.Z. Han, J.M. Li, Design and implementation of dynamic data acquisition system used in the construction area, in 2010 International Conference on Engineering Computation (2010), pp. 149–152Google Scholar
  11. 11.
    A. Giuseppe, WSNs for structural health monitoring of historical buildings, in The 2nd International Conference on Human System Interaction (2009), pp. 574–579Google Scholar
  12. 12.
    A. Grigoris, V.H. Frank, A Semantic Web Primer (The MIT Press, London, 2008), pp. 65–94Google Scholar
  13. 13.
    T. Tom, Low power wireless sensor network for building monitoring. IEEE Sens. J. 13(3), 909–915 (2009)MathSciNetGoogle Scholar
  14. 14.
    C. Michael, The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012)CrossRefGoogle Scholar
  15. 15.
    F. Florian. Towards semantics-based monitoring of large-scale industrial system, in 2006 The International Conference on Computational Intelligence for Modelling Control and Automation,and International Conference on Intelligent Agents (2006), pp. 261–266Google Scholar
  16. 16.
    A. Stefan, A proposal for ontology-based integration of heterogeneous decision support systems for structural health monitoring, in 2010 The 12th International Conference on Information Integration and Web-based Applications and Services (2010), pp. 168–175Google Scholar
  17. 17.
    P. K\(\breve{r}\)emen, Z. Kouba, Ontology-driven information system design. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 42(3), 334–344 (2012)Google Scholar
  18. 18.
    L.J. Zang, C. Cao, Y.N. Cao, Y.M. Wu, C.G. Cao, A survey of commonsense knowledge acquisition. J. Comput. Sci. Technol. 28(4), 689–719 (2013)MathSciNetCrossRefzbMATHGoogle Scholar
  19. 19.
    J. Chen, J. Ma, N. Zhong, Y. Yao, J. Liu, R. Huang et al., Waas: wisdom as a service. Intell. Syst. IEEE 29(6), 40–47 (2014)CrossRefGoogle Scholar
  20. 20.
    H.Y. Wang, Z.S. Huang, N. Zhong, Y.Z. Han, A monitoring system for the safety of building structure based on semantic technology, in 2013 Fourth International Conference on Intelligent Systems Design and Engineering Applications (IEEE, 2013), pp. 15–18Google Scholar
  21. 21.
    D.P. Theodor, M. Mariane, Blind Source separation of traffic-induced vibrations in building monitoring, in 2007 IEEE International Conference on Control and Automation (2007), pp. 2101–2106Google Scholar

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

Personalised recommendations