Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Faccio, M., Persona, A., Sgarbossa, F., Zanin, G.: Industrial maintenance policy development: a quantitative framework. Int. J. Prod. Econ. 147, 85–93 (2014)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Moreno, E.F., Pacheco, E.E., Andaluz, V.H., Mullo, Á.S. (2020). Multi-user Expert System for Operation and Maintenance in Energized Lines. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-030-39442-4_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-39442-4_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-39441-7
Online ISBN: 978-3-030-39442-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)