Monitoring Energy Consumption of Individual Equipment in a Workcell Using Augmented Reality Technology

  • Nicholas Ho
  • Chee-Kong ChuiEmail author


Monitoring energy consumption of equipment in a manufacturing workcell is part of an important process of energy consumption control. Sophisticated and advanced energy sensors have made it possible to monitor energy consumption of equipment in the workcell via a smart device. However, it is worthy to note that stakeholders like new workers, eco-consultants and/or authorities are unfamiliar with the equipment. It might be challenging to visualize the energy consumption of each equipment in the workcell from the smart device for them. In order to aid this group of stakeholders in the monitoring of energy consumption process, we propose a novel, augmented reality (AR) and Internet of Things (IoT)-based energy monitoring conceptual design. It aims to not only give users an option to have an overall view of the energy consumption in the workcell but also to allow users to visualize energy consumption of each equipment in the actual field. Moreover, AR technology has already started being used for assembly training and inspection purposes in some manufacturing companies; thus the proposed energy monitoring concept will add value with minimum cost because of its easy integration in the inbuilt system together with these features. With the help of AR technology, one can immediately pinpoint equipment with constant high consumption rates in real environments and give better advice to control energy consumption by exploring ways to reduce their energy usage. This paper highlights the potential of the proposed energy monitoring conceptual design in aiding users to better visualize the energy consumption patterns of individual equipment in the workcell.


Energy monitoring Augmented reality Manufacturing workcell Energy management system Environmental sustainability 



CK Chui would like to thank Dr. K Masui for his support and discussions when CK Chui was a visiting foreign researcher in AIST, Japan, on sabbatical leave from the National University of Singapore.


  1. 1.
    Dangelico RM, Pujari D. Mainstreaming green product innovation: why and how companies integrate environmental sustainability. J Bus Ethics. 2010;95:471–86.CrossRefGoogle Scholar
  2. 2.
    General Motors. General motors 2016 sustainability report, Detroit; 2016.Google Scholar
  3. 3.
    Beaudin M, Zareipour H. Home energy management systems: a review of modelling and complexity. Renew Sust Energ Rev. 2015;45:318–35.CrossRefGoogle Scholar
  4. 4.
    Rocha P, Siddiqui A, Stadler M. Improving energy efficiency via smart building energy management systems: a comparison with policy measures. Energ Buildings. 2015;88:203–13.CrossRefGoogle Scholar
  5. 5.
    Hong YY, Yo PS. Novel genetic algorithm-based energy management in a factory power system considering uncertain photovoltaic energies. Appl Sci. 2017;7(5):438.CrossRefGoogle Scholar
  6. 6.
    Moreno MV, Úbeda B, Skarmeta AF, Zamora MA (2014) How can we tackle energy efficiency in IoT based smart buildings?. Sensors 14: 9582–614.CrossRefGoogle Scholar
  7. 7.
    Chua M, Chui CK, Teo C, Lau D. Patient-specific carbon nanocomposite tracheal prosthesis. Int J Artif Organs. 2015;38(1):31–8.CrossRefGoogle Scholar
  8. 8.
    Chua M, Chui CK, Chng CB, Lau D. Experiments of carbon nanocomposite implants for patient specific ENT care. In: The 7th IEEE International Conference on Nano/Molecular Medicine and Engineering, Phuket; 2013.Google Scholar
  9. 9.
    Chua M, Chui CK, Chng CB, Lau D. Carbon nanotube-based artificial tracheal prosthesis: carbon nanocomposite implants for patient-specific ENT care. IEEE Nanotechnol Mag. 2013;7(4):27–31.CrossRefGoogle Scholar
  10. 10.
    Zollmann S, Hoppe C, Kluckner S, Poglitsch C, Bischof H, Reitmayr G. Augmented reality for construction site monitoring and documentation. Proc IEEE. 2014;102(2):137–54.CrossRefGoogle Scholar
  11. 11.
    Golparvar-Fard M, Peña-Mora F, Savarese S. D4AR – a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication. J Inform Technol Constr. 2009;14:129–53.Google Scholar
  12. 12.
    Abraham M, Annunziata M. Augmented reality is already improving worker performance. Harv Bus Rev. 2017.
  13. 13.
    Xu K, Chia KW, Cheok AD. Real-time camera tracking for marker-less and unprepared augmented reality environments. Image Vis Comput. 2008;26:673–89.CrossRefGoogle Scholar
  14. 14.
    Investment Weekly News. EnTouch controls; EnTouch controls debuts universal energy monitor to help small businesses manage and reduce energy costs. Investment Weekly News; 2012. p. 304.Google Scholar
  15. 15.
    Tegarden D. Business information visualization. Commun AIS. 1999;1:4.Google Scholar
  16. 16.
    Giartosio F, Tregnaghi G. Augmented reality glasses. U.S. Patent, US20150286055 A1. 2015.Google Scholar
  17. 17.
    Janin DMAL, Caudell T. Calibration of head-mounted displays for augmented reality applications. In: Proceedings of IEEE Virtual Reality Annual International Symposium, Seattle, 1993.Google Scholar
  18. 18.
    Mathiesen D, Myers T, Atkinson I, Trevathan J. Geological visualisation with augmented reality. In: 15th International Conference on Network-Based Information Systems, Melbourne, 2012.Google Scholar
  19. 19.
    Boonrod T, Chomphuwiset P, Jareanpon C. The marker detection from product logo for augmented reality technology. In: International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, Da Nang, 2016.Google Scholar
  20. 20.
    Choi W, Ghidini G, Das SK. A novel framework for energy-efficient data gathering with random coverage in wireless sensor networks. ACM Trans Sensor Networks. 2012;8(4):36.CrossRefGoogle Scholar
  21. 21.
    Carmigniani J, Furht B, Anisetti M, Ceravolo P, Damiani E, Ivkovic M. Augmented reality technologies, systems and applications. Multimed Tools Appl. 2011;51:341–77.CrossRefGoogle Scholar
  22. 22.
    Wagner D, Pintaric T, Ledermann F, Schmalstieg D. Towards massively multi-user augmented reality on handheld devices. In: International Conference on Pervasive Computing, Berlin, 2005.Google Scholar
  23. 23.
    Fantozzia F, Bartoccia P, D’Alessandro B, Testarmata F, Fantozzi P. Carbon footprint of truffle sauce in Central Italy by direct measurement of energy consumption of different olive harvesting techniques. J Clean Prod. 2015;87:188–96.CrossRefGoogle Scholar
  24. 24.
    Wu X, Freese D, Cabrera A, Kitch WA. Electric vehicles’ energy consumption measurement and estimation. Transp Res Part D: Transp Environ. 2015;34:52–67.CrossRefGoogle Scholar
  25. 25.
    Howey D, Martinez-Botas R, Cussons B, Lytton L. Comparative measurements of the energy consumption of 51 electric, hybrid and internal combustion engine vehicles. Transp Res Part D: Transp Environ. 2011;16(6):459–64.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNational University of SingaporeSingaporeSingapore

Personalised recommendations