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Connected Environments for the Internet of Things pp 169–185Cite as

Integration of Buildings Information with Live Data from IoT Devices

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Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Information generated by smart buildings is a valuable asset that can be utilised by various groups of stakeholders in smart cities . These stakeholders can benefit from such information in order to provide additional valuable services. The added value is achievable if there is access to buildings information integrated with the live data being generated and collected from smart devices and sensors residing within the Internet of Things (IoT) environment. Notwithstanding the prominence of this combination, there are some barriers relating to the integration of buildings information with the live data. With the aim of examining such barriers, this chapter primarily focuses on information exchanges between various domains in smart cities. It also provides a vision on specific domains that can benefit from integration of buildings information with other live data. This can impact and improve the quality of various e-services. This chapter describes the barriers and suggests solutions to realise these visions. At the end of this chapter, a summary of the barriers is provided and discussed followed by proposals for future research topics to provide solutions to the inherent barriers.

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References

  1. Schaffers H, Ratti C, Komninos N (2012) Special issue on smart applications for smart cities-new approaches to innovation: guest editors’ introduction. J Theor Appl Electron Commerce Res 7(3):ii–iv

    Article  Google Scholar 

  2. Zugno M, Morales JM, Pinson P, Madsen H (2013) A bilevel model for electricity retailers’ participation in a demand response market environment. Energy Econ 36:182–197

    Article  Google Scholar 

  3. Zhou Z, Zhao F, Wang J (2011) Agent-based electricity market simulation with demand response from commercial buildings. IEEE Trans SMART Grid 2(4):580–588

    Article  Google Scholar 

  4. Baetens R, PetterJelle B, Gustavsen A (2010) Properties, requirements and possibilities of smart windows for dynamic daylight and solar energy control in buildings: a state-of-the-art review. Solar Energy Mater Solar Cells 94:87–105

    Article  Google Scholar 

  5. Wenge R, Zhang X, Dave C, Chao L, Hao S (2014) Smart city architecture: a technology guide for implementation and design challenges. China Commun 11(3):56–69

    Article  Google Scholar 

  6. Hollands RG (2008) Will the real smart city please stand up? Intelligent, progressive or entrepreneurial? City 12(3):303–320

    Article  Google Scholar 

  7. Komninos N (2008) Intelligent cities and globalisation of innovation networks. Routledge, London

    Google Scholar 

  8. Bischof S, Karapantelakis A, Nechifor CS, Sheth A P, Mileo A, Barnaghi P (2014) Semantic modelling of smart city data

    Google Scholar 

  9. Anthopoulos L, Fitsilis P (2010) From digital to ubiquitous cities: defining a common architecture for urban development. In: Intelligent environments (IE), 2010 sixth international conference on IEEE, 301–306

    Google Scholar 

  10. Pan G, Qi G, Zhang W, Li S, Wu Z, Yang LT (2013) Trace analysis and mining for smart cities: issues, methods, and applications. IEEE Commun Mag 51(6):120–126

    Article  Google Scholar 

  11. Rondeau EP, Brown RK, Lapides PD (2012) Facility management. Wiley, Hoboken

    Google Scholar 

  12. Lavy S, Jawadekar S (2014) A case study of using BIM and COBie for facility management. Int J Facility Manag 5(2)

    Google Scholar 

  13. General Services Administration (GSA) (2011) GSA building information modeling guide series: 08 – GSA BIM guide for facility management, version 1 – December 2011, U.S. General Services Administration, Public Buildings Service, Office of Design and Construction

    Google Scholar 

  14. Capozzoli A, Grassi D, Causone F (2015) Estimation models of heating energy consumption in schools for local authorities planning. Energy Build 105:302–313

    Article  Google Scholar 

  15. Yu Z, Haghighat F, Fung BCM, Yoshino H (2010) A decision tree method for building energy demand modeling. Energy Build 42:1637–1646

    Article  Google Scholar 

  16. Korolija I, Zhang Y, Marjanovic-Halburd L, Hanby VI (2013) Regression models for predicting UK office building energy consumption from heating and cooling demands. Energy Build 59:214–227

    Article  Google Scholar 

  17. Asadi S, Shams Amiri S, Mottahed M (2014) On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design. Energy Build 85:246–255

    Article  Google Scholar 

  18. Chai B, Chen J, Yang Z, Zhang Y (2014) Demand response management with multiple utility companies: a two-level game approach. IEEE Trans Smart Grid 5(2):722–731

    Article  Google Scholar 

  19. Farhangi H (2010) The path of the smart grid. IEEE Power Energy Mag 8(1):18–28

    Article  MathSciNet  Google Scholar 

  20. Mohsenian-Rad AH, Leon-Garcia A (2010) Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid 1(2):120–133

    Article  Google Scholar 

  21. Karnouskos S (2010) The cooperative internet of things enabled smart grid. In: Proceedings of the 14th IEEE International Symposium on Consumer Electronics (ISCE 2010)

    Google Scholar 

  22. Yan R, Ghose S (2010) Forecast information and traditional retailer performance in a dual-channel competitive market. J Bus Res 63:77–83

    Article  Google Scholar 

  23. He C, Marklund J, Vossen T (2008) Vertical information sharing in a volatile market. Mark Sci 27(3):513–530

    Article  Google Scholar 

  24. Szewczyk R, Mainwaring A, Polastre J, Anderson J, Culler D (2004) An analysis of a large scale habitat monitoring application. In: Proceedings of the 2nd international conference on embedded networked sensor systems, pp 214–226

    Google Scholar 

  25. D’Elia A, Roffia L, Zamagni G, Vergari F, Bellavista P, Toninelli A, Mattarozzi S (2010) Smart applications for the maintenance of large buildings: how to achieve ontology-based interoperability at the information level. In: Computers and communications (ISCC), 2010 IEEE symposium, pp 1077–1082

    Google Scholar 

  26. Ibrahim R, Fay R (2006) Enhancing cognition by understanding knowledge flow characteristics during design collaboration. ALAM CIPTA Int J Sustain Trop Des Res Pract 1(1):9–16

    Google Scholar 

  27. Ibrahim R, Paulson B (2008) Discontinuity in organisations: identifying business environments affecting efficiency of knowledge flows in product lifecycle management. Int J Prod Lifecycle Manag 3(1):21–36

    Article  Google Scholar 

  28. Ibrahim R, Nissen M (2007) Discontinuity in organizations: developing a knowledge-based organizational performance model for discontinuous membership. Int J Knowl Manag 3(1):18–36

    Article  Google Scholar 

  29. Pourzolfaghar Z (2012) Improving tacit knowledge capture during conceptual design phase of building projects, UK, UMI Thesis Publications, ProQuest LLC

    Google Scholar 

  30. Pourzolfaghar Z, Ibrahim R, Abdullah R, Adam NM, Abang Ali AA (2013) Improving dynamic knowledge movements with a knowledge-based framework during conceptual design of a green building project. Int J Knowl Manag 9(2):62–79

    Article  Google Scholar 

  31. Pettee S (2005) As-builts-problems & proposed solutions. CM eJournal

    Google Scholar 

  32. Schaffers H, Komninos N, Pallot M, Trousse B, Nilsson M, Oliveira A (2011) Smart cities and the future internet: towards cooperation frameworks for open innovation, the future internet. Lect Notes Comput Sci 6656:431–446

    Article  Google Scholar 

  33. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32

    Article  Google Scholar 

  34. Bellavista P, Cardone G, Corradi A, Foschini L (2013) Convergence of MANET and WSN in IoT urban scenarios. IEEE Sens J 13(10):3558–3567

    Article  Google Scholar 

  35. Pan J, Jain R, Paul S, Vu T, Saifullah A, Sha M (2015) An internet of things framework for smart energy in buildings: designs, prototype, and experiments. IEEE Internet Things J 2(6):527–537

    Article  Google Scholar 

  36. Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun Surv Tutor 17(4):2347–2376

    Article  Google Scholar 

  37. Atzori L, Iera A, Morabito G (2010) The internet of things: A survey. Comput Netw 54(15):2787–2805

    Article  MATH  Google Scholar 

  38. Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Future Generation Comput Syst 29(7):1645–1660

    Article  Google Scholar 

  39. Yang DL, Liu F, Liang YD (2010) A survey of the internet of things. In: Proceedings of the 1st international conference on E-Business Intelligence (ICEBI2010), Atlantis Press

    Google Scholar 

  40. Gluhak A, Krco S, Nati M, Pfisterer D, Mitton N, Razafindralambo T (2011) A survey on facilities for experimental internet of things research. IEEE Commun Mag 49(11):58–67

    Article  Google Scholar 

  41. Gu N, Singh V, London K, Brankovic L, Taylor C (2008) Adopting building information modeling (BIM) as collaboration platform in the design industry. In: CAADRIA 2008: Beyond computer-aided design, proceedings of the 13th conference on Computer Aided Architectural Design Research in Asia, The Association for Computer Aided Architectural Design Research in Asia (CAADRIA)

    Google Scholar 

  42. Shen W, Hao Q, Mak H, Neelamkavil J, Xie H, Dickinson J, Xue H (2010) Systems integration and collaboration in architecture, engineering, construction, and facilities management: a review. Adv Eng Inform 24(2):196–207

    Article  Google Scholar 

  43. Becerik-Gerber B, Jazizadeh F, Li N, Calis G (2011) Application areas and data requirements for BIM-enabled facilities management. J Constr Eng Manag 138(3):431–442

    Article  Google Scholar 

  44. Mikučionienė R, Martinaitis V, Keras E (2014) Evaluation of energy efficiency measures sustainability by decision tree method. Energy Build 76:64–71

    Article  Google Scholar 

  45. Winch GM (2010) Managing construction projects. Wiley, Chichester

    Google Scholar 

  46. Motawa I, Almarshad A (2013) A knowledge-based BIM system for building maintenance. Autom Constr 29:173–182

    Article  Google Scholar 

  47. Cohen B (2012) What exactly is a smart city? www.fastcoexist.com/1680538/what-exactly-is-a-smart-cityIntelligence. Collective intelligence handbook

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Acknowledgement

This work was supported, in part, by Science Foundation Ireland grant 13/RC/2094 and co-funded under the European Regional Development Fund through the Southern and Eastern Regional Operational Programme to Lero – the Irish Software Research Centre (www.lero.ie).

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Authors and Affiliations

  1. Lero – The Irish Software Research Centre, School of Computing, Dublin City University, Dublin, Ireland

    Zohreh Pourzolfaghar & Markus Helfert

Authors
  1. Zohreh Pourzolfaghar
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  2. Markus Helfert
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Corresponding author

Correspondence to Zohreh Pourzolfaghar .

Editor information

Editors and Affiliations

  1. Debesis Education UK, University of Derby, Derby, United Kingdom

    Zaigham Mahmood

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Pourzolfaghar, Z., Helfert, M. (2017). Integration of Buildings Information with Live Data from IoT Devices. In: Mahmood, Z. (eds) Connected Environments for the Internet of Things. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-70102-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-70102-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70101-1

  • Online ISBN: 978-3-319-70102-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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