Nothing Special   »   [go: up one dir, main page]

Skip to main content

Smart Systems for Monitoring Buildings - An IoT Application

  • Conference paper
  • First Online:
Optimization, Learning Algorithms and Applications (OL2A 2022)

Abstract

Life in society has initiated a search for comfort and security in social centers. This search generated revolutions within the knowledge about the technologies involved, making the environments automated and integrated. Along with this increase, ecological concerns have also arisen, which have been involved since the design of intelligent buildings, remaining through the years of their use. Based on these two pillars, the present study aims to monitor three central systems inside the apartments of the Apolo Building (Bragança city, Portugal). The electrical energy consumption, water flow, and waste disposal systems are integrated through a single database. The data is sent remotely via WiFi through the microcontroller. For better visualization and analytics of the data, a web application is also developed, which allows for real-time monitoring. The obtained results demonstrate to the consumer his behavior regarding household expenses. The idea of showing the consumer their expenditure is to create an ecological awareness. Through the data collected and the environmental alternatives found, it is possible to observe whether there was a behavior change when receiving this data, either in the short or long term.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. de Pádua, I.P.: Caracterização de Edifícios Inteligentes - Um caso exemplo. Master’s thesis, Pontifícia Universidade Católica de Minas Gerais, Brazil (2006)

    Google Scholar 

  2. Wigginton, M., Harris, J.: Intelligent Skins. Routledge, London (2013)

    Google Scholar 

  3. So, A.T., Wong, A.C., et al.: A new definition of intelligent buildings for Asia. Facilities. 17, 485–491 (1999)

    Article  Google Scholar 

  4. Yang, J., Peng, H.: Decision support to the application of intelligent building technologies. Renew. Energy 22(1–3), 67–77 (2001)

    Article  Google Scholar 

  5. Wong, J.K., Li, H., Wang, S.: Intelligent building research: a review. Autom. Constr. 14(1), 143–159 (2005)

    Article  Google Scholar 

  6. Braga, L.C.: Estudo de aspectos de eficiência energética de edificações com uma abordagem de automação predial. Master’s thesis, Universidade Federal de Minas Gerais, Brasil (2007)

    Google Scholar 

  7. Fincher, W., Boduch, M.: Standards of human comfort: relative and absolute. University of Texas, Austin, USA, pp. 02–04 (2009)

    Google Scholar 

  8. Al-Kuwari, M., Ramadan, A., Ismael, Y., Al-Sughair, L., Gastli, A., Benammar, M.: Smart-home automation using IoT-based sensing and monitoring platform. In: 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018), pp. 1–6 (2018). https://doi.org/10.1109/CPE.2018.8372548

  9. Sauter, T., Soucek, S., Kastner, W., Dietrich, D.: The evolution of factory and building automation. IEEE Ind. Electron. Mag. 5(3), 35–48 (2011). https://doi.org/10.1109/MIE.2011.942175

    Article  Google Scholar 

  10. Martins, R.W.D.: Otimização preditiva de operação energética de edifícios inteligentes. Ph.D. thesis, Universidade do Porto (2016)

    Google Scholar 

  11. Union, E.: Energy efficient buildings. https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficient-buildings_en. Accessed 15 Jan 2022

  12. Smith, G.M.: Como medir a corrente usando sensores e transdutores de corrente (2021), https://dewesoft.com/br/aquisicao-de-dados/como-medir-corrente-usando-sensores-de-corrente. Accessed 4 May 2022

  13. Connor, R.: The United Nations world water development report 2015: water for a sustainable world, vol. 1. UNESCO publishing (2015)

    Google Scholar 

  14. Teixeira, R.M.M.: Uso Sustentável da Água: Avaliação de benefícios adotando eficiëncia hídrica em edifícios. Master’s thesis, Universidade de Coimbra, Portugal (2015)

    Google Scholar 

  15. Cerchecci, M., Luti, F., Mecocci, A., Parrino, S., Peruzzi, G., Pozzebon, A.: A low power IoT sensor node architecture for waste management within smart cities context. Sensors. 18(4), 1282 (2018). https://doi.org/10.3390/s18041282, https://www.mdpi.com/1424-8220/18/4/1282

  16. Semtech: LoRaWAN® Standart. https://www.semtech.com/lora/lorawan-standard. Accessed 4 May 2022

  17. Adiono, T., Fathany, M.Y., Fuada, S., Purwanda, I.G., Anindya, S.F.: A portable node of humidity and temperature sensor for indoor environment monitoring. In: 2018 3rd International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1–5 (2018). https://doi.org/10.1109/IGBSG.2018.8393575

  18. Ashton, K., et al.: That ‘internet of things thing. RFID J. 22(7), 97–114 (2009)

    Google Scholar 

  19. Faccioni Filho, M.: Internet das coisas. Unisul Virtual (2016)

    Google Scholar 

  20. Bandyopadhyay, D., Sen, J.: Internet of things: applications and challenges in technology and standardization. Wirel. Pers. Commun. 58(1), 49–69 (2011)

    Article  Google Scholar 

  21. Mascarenhas, A.P.R.M., et al.: Desenvolvimento de produtos iot. Braz. J. Dev. 7(1), 4711–4724 (2021)

    Article  MathSciNet  Google Scholar 

  22. Ma, H.D.: Internet of things: objectives and scientific challenges. J. Comput. Sci. Technol. 26(6), 919–924 (2011)

    Article  Google Scholar 

  23. Matin, M.A., Islam, M.: Overview of wireless sensor network. Wirel. Sensor Netw. Technol. Protoc. 1(3), 1–25 (2012)

    Google Scholar 

  24. Brito, T., Pereira, A.I., Lima, J., Valente, A.: Wireless sensor network for ignitions detection: an IoT approach. Electronics 9(6), 893 (2020). https://doi.org/10.3390/electronics9060893

    Article  Google Scholar 

  25. Brito, T., et al.: Optimizing data transmission in a wireless sensor network based on LoRaWAN protocol. In: Pereira, A.I., et al. (eds.) OL2A 2021. CCIS, vol. 1488, pp. 281–293. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91885-9_20

    Chapter  Google Scholar 

  26. Nack, F.: An overview on wireless sensor networks. Institute of Computer Science (ICS), Freie Universität Berlin, vol. 6 (2010)

    Google Scholar 

  27. Rajaravivarma, V., Yang, Y., Yang, T.: An overview of wireless sensor network and applications. In: Proceedings of the 35th Southeastern Symposium on System Theory 2003, pp. 432–436 (2003). https://doi.org/10.1109/SSST.2003.1194607

  28. Grindvoll, H., Vermesan, O., Crosbie, T., Bahr, R., Dawood, N., Revel, G.M.: A wireless sensor network for intelligent building energy management based on multi communication standards-a case study. J. Inf. Technol. Constr. 17, 43–61 (2012)

    Google Scholar 

  29. IoTaWatt: The best kept energy monitoring secret. https://iotawatt.com/. Accessed 25 Aug 2022

  30. SEEED: https://media.digikey.com/pdf/DataSheets/Seeed Technology/114991172_Web.pdf. Accessed 6 May 2022

  31. Espressif: Esp32-wroom-3d datasheet. https://www.espressif.com/. Accessed 4 May 2022

  32. Giacobbe, M., Chaouch, C., Scarpa, M., Puliafito, A.: An implementation of InfluxDB for Monitoring and analytics in distributed IoT environments. In: Bouhlel, M.S., Rovetta, S. (eds.) SETIT 2018. SIST, vol. 146, pp. 155–162. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-21005-2_15

    Chapter  Google Scholar 

  33. Data, I.: Open source time series database. https://www.influxdata.com/. Accessed 6 May 2022

  34. DB-Engines: Db-engines ranking of time series DBMs. https://db-engines.com/en/ranking/time+series+dbms. Accessed 6 May 2022

  35. Labs, G.: The open observability platform. https://grafana.com/. Accessed 6 May 2022

Download references

Acknowledgment

The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). Thadeu Brito was supported by FCT PhD grant SFRH/BD/08598 /2020 and João Braun received the support of a fellowship from “la Caixa” Foundation (ID 100010434) with code LCF/BQ/DI20/11780028.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Rebeca B. Kalbermatter , Thadeu Brito , João Braun , Ana I. Pereira , Ângela P. Ferreira , António Valente or José Lima .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kalbermatter, R.B. et al. (2022). Smart Systems for Monitoring Buildings - An IoT Application. In: Pereira, A.I., Košir, A., Fernandes, F.P., Pacheco, M.F., Teixeira, J.P., Lopes, R.P. (eds) Optimization, Learning Algorithms and Applications. OL2A 2022. Communications in Computer and Information Science, vol 1754. Springer, Cham. https://doi.org/10.1007/978-3-031-23236-7_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-23236-7_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23235-0

  • Online ISBN: 978-3-031-23236-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics