Multi-user Expert System for Operation and Maintenance in Energized Lines

  • Erika F. MorenoEmail author
  • Evelyn E. Pacheco
  • Víctor H. Andaluz
  • Álvaro S. Mullo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1130)


The article presents the development of a multi-user application in virtual reality for the training and theoretical-practical training of electrical maintenance personnel in the operation of energized lines. The environment has a safety explanatory room in which users will know each of the rules and protocols applied to perform maintenance maneuvers and operation of energized lines, a realistic work area of the electrical power system that starts from hydroelectric generation and passes through transmission lines, subtransmission to reach substations that raise or reduce the voltage for subsequent distribution. The environment has been created using photogrammetry techniques, WorldComposer, CAD design tools, Unity 3D, DigSilent Power Factory and Matlab to provide realism of electrical system behavior, emulating failures and critical conditions caused by external and internal emergency events. Experimental tests show the efficiency of the system generated by human-machine interaction in which operators interact between themselves and the ambience, facilitate immersion in an environment that offers to contribute to the development of their risk-free collaborative skills and abilities.


Virtual Reality Maintenance on energized lines Electrical power system Photogrammetry Unity 3D 


  1. 1.
    Faccio, M., Persona, A., Sgarbossa, F., Zanin, G.: Industrial maintenance policy development: a quantitative framework. Int. J. Prod. Econ. 147, 85–93 (2014)CrossRefGoogle Scholar
  2. 2.
    Van de Kerkhof, R., Akkermans, H., Noorderhaven, N.: Knowledge lost in data: organizational impediments to condition-based maintenance in the process industry. In: Zijm, H., Klumpp, M., Clausen, U., Hompel, M. (eds.) Logistics and Supply Chain Innovation, pp. 223–237. Springer, Cham (2016)CrossRefGoogle Scholar
  3. 3.
    Daily, J., Peterson, J.: Predictive maintenance: how big data analysis can improve maintenance. In: Richter, K., Walther, J. (eds.) Supply Chain Integration Challenges in Commercial Aerospace, pp. 267–278. Springer, Cham (2017)CrossRefGoogle Scholar
  4. 4.
    Koksal, A., Ozdemir, A.: Improved transformer maintenance plan for reliability centred asset management of power transmission system. IET Gener. Transm. Distrib. X(8), 1976–1983 (2017)CrossRefGoogle Scholar
  5. 5.
    Barbosa, C., Nallin, F.: Corrosion detection robot for energized power lines. In: Proceedings of the 2014 3rd International Conference on Applied Robotics for the Power Industry, pp. 1–6. IEEE (2014)Google Scholar
  6. 6.
    Neitzel, D.K.: Electrical safety when working near overhead power lines. In: 2016 IEEE PES 13th International Conference on Transmission & Distribution Construction, Operation & Live-Line Maintenance (ESMO), pp. 1–5. IEEE (2016)Google Scholar
  7. 7.
    Galvan, I., Ayala, A., Rodríguez, E., Arroyo, G.: Virtual reality training system for maintenance of underground lines in power distribution system. In: Virtual Reality (2016)Google Scholar
  8. 8.
    Ayala, A., Galván, I., Pérez, G., Ramirez, M., Muñoz, J.: Virtual reality training system for maintenance and operation of high-voltage overhead power lines. In: Third International Conference on Innovative Computing Technology (INTECH 2013) (2013)Google Scholar
  9. 9.
    Perez-Ramirez, M., Arroyo-Figueroa, G., Ayala, A.: The use of a virtual reality training system to improve technical skill in the maintenance of live-line power distribution networks. Interact. Learn. Environ. 1–18 (2019)Google Scholar
  10. 10.
    Zayas, B., Perez, M.: An instructional design model for virtual reality training environments. In: EdMedia+ Innovate Learning. Association for the Advancement of Computing in Education (AACE), pp. 483–488 (2015)Google Scholar
  11. 11.
    Li, B., Bi, Y., He, Q., Ren, J., Li, Z.: A low-complexity method for authoring an interactive virtual maintenance training system of hydroelectric generating equipment. Comput. Ind. 100, 159–172 (2018)CrossRefGoogle Scholar
  12. 12.
    Hernández, Y., Pérez, M., Ramírez, W., Ayala, E., Ontiveros, N.: Architecture of an intelligent training system based on virtual environments for electricity distribution substations. Res. Comput. Sci. 129, 63–70 (2016)Google Scholar
  13. 13.
    Dos Reis, P., Matos, C., Diniz, P., Silva, D., Dantas, W., Braz, G., Araújo, A.: An immersive virtual reality application for collaborative training of power systems operators. In: 2015 XVII Symposium on Virtual and Augmented Reality, pp. 121–126. IEEE (2015)Google Scholar
  14. 14.
    Chiluisa, M., Mullo, R., Andaluz, V.H.: Training in virtual environments for hybrid power plant. In: International Symposium on Visual Computing, pp. 193–204. Springer, Cham (2018)Google Scholar
  15. 15.
    Zhang, S., Ying, S., Shao, Y., Gao, W., Liang, Y., Peng, P., Luo, X.: Design and application of electric power skill training platform based on virtual reality technology. In: 2018 Chinese Automation Congress (CAC), pp. 1548–1551. IEEE (2018)Google Scholar
  16. 16.
    Cardoso, A., do Santos Peres, I., Lamounier, E., Lima, G., Miranda, M., Moraes, I.: Associating holography techniques with BIM practices for electrical substation design. In: International Conference on Applied Human Factors and Ergonomics, pp. 37–47. Springer, Cham (2017)Google Scholar
  17. 17.
    Cai, L., Cen, M., Luo, Z., Li, H.: Modeling risk behaviors in virtual environment based on multi-agent. In: 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE) (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Erika F. Moreno
    • 1
    Email author
  • Evelyn E. Pacheco
    • 1
  • Víctor H. Andaluz
    • 1
  • Álvaro S. Mullo
    • 1
  1. 1.Universidad de las Fuerzas Armadas ESPESangolquíEcuador

Personalised recommendations