Technique for Assessing the Training Level of Operational Personnel at Electric Power Facilities Using Training Systems of the Digital Twin Type

DOI

10.2991/aebmr.k.200502.202How to use a DOI?

Keywords

training, technique, virtual reality, competence, suitability

Abstract

A technique for assessing the training level (competencies), which allows tracking the growth dynamics of the professional activity quality of the operator of an electric power facility in his/her preparation process using training systems of the Digital Twin type, has been developed. The temporal, accuracy, and reliability indicators of the operator have been used as an indicator of the level of the operating personnel training for error-free and safe operations. In each case, an indicator that most fully characterizes the quality of the candidate’s performance of his/her functional duties is being selected. A procedure for assessing a person’s suitability for the required activity using diagnostic coefficients (points), which can be considered as weighting factors, has been proposed. The high reliability of the operating personnel selection at workplaces in assessing professional suitability has been achieved through the use of direct indicators of the quality of their activities. The proposed system will significantly reduce the examination time of professional suitability, increase the effectiveness of training, and determine the optimal number of trainings. Due to the availability of the database and the means for their automatic processing and visualization, it is possible to track the change in the level of development of professionally important qualities over time in the case of using this technique. The developed system allows simplifying the work of the user, who does not require special knowledge in psychology, mathematics, and programming.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - D.Yu. Alekin
AU  - N.G. Yagovkin
PY  - 2020
DA  - 2020/05/05
TI  - Technique for Assessing the Training Level of Operational Personnel at Electric Power Facilities Using Training Systems of the Digital Twin Type
BT  - Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)
PB  - Atlantis Press
SP  - 1219
EP  - 1223
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200502.202
DO  - 10.2991/aebmr.k.200502.202
ID  - Alekin2020
ER  -