IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2168-d1045466.html
   My bibliography  Save this article

Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System

Author

Listed:
  • Mohamed El-Sayed M. Essa

    (Electrical Power and Machines Department, Institute of Aviation Engineering and Technology (I.A.E.T), Egyptian Aviation Academy, Imbaba Airport, Giza 12815, Egypt)

  • Ahmed M. El-shafeey

    (Electronics and Communication Department, Institute of Aviation Engineering and Technology (I.A.E.T), Egyptian Aviation Academy, Imbaba Airport, Giza 12815, Egypt)

  • Amna Hassan Omar

    (Architecture Engineering Department, Institute of Aviation Engineering and Technology (I.A.E.T), Egyptian Aviation Academy, Imbaba Airport, Giza 12815, Egypt)

  • Adel Essa Fathi

    (Electrical Power and Machines Department, Institute of Aviation Engineering and Technology (I.A.E.T), Egyptian Aviation Academy, Imbaba Airport, Giza 12815, Egypt)

  • Ahmed Sabry Abo El Maref

    (Electrical Power and Machines Department, Institute of Aviation Engineering and Technology (I.A.E.T), Egyptian Aviation Academy, Imbaba Airport, Giza 12815, Egypt)

  • Joseph Victor W. Lotfy

    (Electrical Power and Machines Department, Institute of Aviation Engineering and Technology (I.A.E.T), Egyptian Aviation Academy, Imbaba Airport, Giza 12815, Egypt)

  • Mohamed Saleh El-Sayed

    (Aeronautical Engineering Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt)

Abstract

In this paper, Internet of Things (IoT) and artificial intelligence (AI) are employed to solve the issue of energy consumption in a case study of an education laboratory. IoT enables deployment of AI approaches to establish smart systems and manage the sensor signals between different equipment based on smart decisions. As a result, this paper introduces the design and investigation of an experimental building management system (BMS)-based IoT approach to monitor status of sensors and control operation of loads to reduce energy consumption. The proposed BMS is built on integration between a programmable logic controller (PLC), a Node MCU ESP8266, and an Arduino Mega 2560 to perform the roles of transferring and processing data as well as decision-making. The system employs a variety of sensors, including a DHT11 sensor, an IR sensor, a smoke sensor, and an ultrasonic sensor. The collected IoT data from temperature sensors are used to build an artificial neural network (ANN) model to forecast the temperature inside the laboratory. The proposed IoT platform is created by the ThingSpeak platform, the Bylink dashboard, and a mobile application. The experimental results show that the experimental BMS can monitor the sensor data and publish the data on different IoT platforms. In addition, the results demonstrate that operation of the air-conditioning, lighting, firefighting, and ventilation systems could be optimally monitored and managed for a smart system with an architectural design. Furthermore, the results prove that the ANN model can perform a distinct temperature forecasting process based on IoT data.

Suggested Citation

  • Mohamed El-Sayed M. Essa & Ahmed M. El-shafeey & Amna Hassan Omar & Adel Essa Fathi & Ahmed Sabry Abo El Maref & Joseph Victor W. Lotfy & Mohamed Saleh El-Sayed, 2023. "Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2168-:d:1045466
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2168/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2168/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    2. Carmen De la Cruz-Lovera & Alberto-Jesús Perea-Moreno & José-Luis De la Cruz-Fernández & José Antonio Alvarez-Bermejo & Francisco Manzano-Agugliaro, 2017. "Worldwide Research on Energy Efficiency and Sustainability in Public Buildings," Sustainability, MDPI, vol. 9(8), pages 1-20, July.
    3. Chiara Bersani & Carmelina Ruggiero & Roberto Sacile & Abdellatif Soussi & Enrico Zero, 2022. "Internet of Things Approaches for Monitoring and Control of Smart Greenhouses in Industry 4.0," Energies, MDPI, vol. 15(10), pages 1-30, May.
    4. Bruno Mataloto & Daniel Calé & Kaiser Carimo & Joao C. Ferreira & Ricardo Resende, 2021. "3D IoT System for Environmental and Energy Consumption Monitoring System," Sustainability, MDPI, vol. 13(3), pages 1-19, February.
    5. Di Foggia, Giacomo, 2018. "Energy efficiency measures in buildings for achieving sustainable development goals," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 4(11).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Miguel-Angel Perea-Moreno & Quetzalcoatl Hernandez-Escobedo & Fernando Rueda-Martinez & Alberto-Jesus Perea-Moreno, 2020. "Zapote Seed ( Pouteria mammosa L. ) Valorization for Thermal Energy Generation in Tropical Climates," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    2. Leonel Jorge Ribeiro Nunes & Radu Godina & João Carlos de Oliveira Matias, 2019. "Technological Innovation in Biomass Energy for the Sustainable Growth of Textile Industry," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    3. Nino Paresashvili & Maia Nikvashvili, 2019. "Career Management Peculiarities in Educational Institutions," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 5, January -.
    4. Athanasios Tsipis & Asterios Papamichail & Ioannis Angelis & George Koufoudakis & Georgios Tsoumanis & Konstantinos Oikonomou, 2020. "An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting," Energies, MDPI, vol. 13(14), pages 1-35, July.
    5. Carmen de la Cruz-Lovera & Francisco Manzano-Agugliaro & Esther Salmerón-Manzano & José-Luis de la Cruz-Fernández & Alberto-Jesus Perea-Moreno, 2019. "Date Seeds ( Phoenix dactylifera L. ) Valorization for Boilers in the Mediterranean Climate," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
    6. Esther Salmerón-Manzano & Jose Antonio Garrido-Cardenas & Francisco Manzano-Agugliaro, 2020. "Worldwide Research Trends on Medicinal Plants," IJERPH, MDPI, vol. 17(10), pages 1-20, May.
    7. Bent Flyvbjerg & Alexander Budzier & Jong Seok Lee & Mark Keil & Daniel Lunn & Dirk W. Bester, 2022. "The Empirical Reality of IT Project Cost Overruns: Discovering A Power-Law Distribution," Papers 2210.01573, arXiv.org.
    8. Esther Salmerón-Manzano & Francisco Manzano-Agugliaro, 2018. "The Higher Education Sustainability through Virtual Laboratories: The Spanish University as Case of Study," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    9. Chae, Bongsug (Kevin), 2018. "The Internet of Things (IoT): A Survey of Topics and Trends using Twitter Data and Topic Modeling," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190376, International Telecommunications Society (ITS).
    10. Bettina Freitag & Lukas Häfner & Verena Pfeuffer & Jochen Übelhör, 2020. "Evaluating investments in flexible on-demand production capacity: a real options approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 133-161, April.
    11. Ming Tang & Huchang Liao & Zhengjun Wan & Enrique Herrera-Viedma & Marc A. Rosen, 2018. "Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    12. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    13. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    14. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    15. Elias G. Carayannis & David F. J. Campbell, 2021. "Democracy of Climate and Climate for Democracy: the Evolution of Quadruple and Quintuple Helix Innovation Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 2050-2082, December.
    16. Kumar, V. & Ramachandran, Divya & Kumar, Binay, 2021. "Influence of new-age technologies on marketing: A research agenda," Journal of Business Research, Elsevier, vol. 125(C), pages 864-877.
    17. Rasha Allam & Hesham Dinana, 2021. "The Future of TV and Online Video Platforms: A Study on Predictors of Use and Interaction with Content in the Egyptian Evolving Telecomm, Media & Entertainment Industries," SAGE Open, , vol. 11(3), pages 21582440211, August.
    18. Madhukar Patil & M. Suresh, 2019. "Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(2), pages 157-175, June.
    19. Abdel Ghafar, Ahmed Ismail & Vazquez Castro, Ágeles & Essam Khedr, Mohamed, 2019. "Multidimensional Self-Organizing Chord-Based Networking for Internet of Things," 2nd Europe – Middle East – North African Regional ITS Conference, Aswan 2019: Leveraging Technologies For Growth 201736, International Telecommunications Society (ITS).
    20. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2168-:d:1045466. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.