Optimizing Current Leakage Protection Settings to Improve Electrical Safety in Mines


For citation.
Aukhadeev A.E. Optimizing Current Leakage Protection Settings to Improve Electrical Safety in Mines. Bezopasnost Truda v Promyshlennosti = Occupational Safety in Industry. — 2025. — № 6. — рр. 85-90. (In Russ.). DOI: 10.24000/0409-2961-2025-6-85-90


Annotation:

The study is dedicated to addressing the urgent problem of ensuring electrical safety in mines, where high humidity, dust content, and limited space pose specific risks of electric shock. The goal of the study has been to develop recommendations on selecting earth leakage protection settings, considering the actual state of the insulation of underground electrical grids and ensuring minimum electrical safety of personnel. Within the frameworks of the study, a comprehensive analysis of the state of insulation of cable lines, leakage currents, and the efficiency of the existing protection devices has been conducted. It has been shown that the resistance of insulation significantly depends on humidity, whereas the activation time depends on the leakage current. It has been determined that the existing protection devices do not always ensure a fast response to current leakages, especially in the case of the low resistance of the human body. It has been proposed to use protection devices with boosted actuation speed and regularly check their operability. Empirical dependencies to determine optimal protection settings considering active resistance of insulation have been developed. The study results demonstrate that the comprehensive approach, including monitoring over the insulation state, optimizing protection settings, and advanced training for personnel, is required to ensure electrical safety in mines. 

References:
1. Tynchenko V., Kukartsev V., Shalaeva D., Zdrestova-Zaharenkova S., Dzhioeva N., Moiseeva K. Development of Automated Control System of Electron-Beam Welding Process. Software Engineering Application in Systems Design. Lecture Notes in Networks and Systems. 2023. Vol. 596. рр. 484–490. DOI: 10.1007/978-3-031-21435-6_42
2. Tynchenko V., Stashkevich A., Muzyka P., Leontieva A.A., Degtyareva K.V. Effective energy management tools: inventory management and monitoring of energy consumption by personnel. E3S Web of Conferences. 2023. Vol. 458. DOI: 10.1051/e3sconf/202345801011
3. Tynchenko V.S., Tynchenko Ya.A., Rogova D.V., Leonteva A.A., Seregin Yu.N., Bocharov A.N. Energy distribution computation for induction soldered construction elements. AIP Conference Proceedings. 2023. Vol. 2700. DOI: 10.1063/5.0125008
4. Martyushev N.V., Malozyomov B.V., Khalikov I.H., Kukartsev V.A., Kukartsev V.V., Tynchenko V.S., Tynchenko Ya.A., Qi M. Review of methods for improving the energy efficiency of electrified ground transport by optimizing battery consumption. Energies. 2023. Vol. 16. Iss. 2. DOI: 10.3390/en16020729
5. Golik V.I., Klyuev R.V., Martyushev N.V., Zyukin D.A., Karlina A.I. Technology for nonwaste recovery of tailings of the mizur mining and processing plant. Metallurgist. 2023. Vol. 66. № 11-12. pp. 1476–1480. DOI: 10.1007/s11015-023-01462-y
6. Malozyomov B.V., Martyushev N.V., Babyr N.V., Pogrebnoy A.V., Efremenkov E.A., Valuev D.V., Boltrushevich A.E. Modelling of reliability indicators of a mining plant. Mathematics. 2024. Vol. 12. № 18. DOI: 10.3390/math12182842
7. Chernykh N., Mikhalev A., Dmitriev V., Tynchenko V., Shutkina E. Comparative Analysis of Existing Measures to Reduce Road Accidents in Western Europe. 22nd International Symposium INFOTEH-JAHORINA (INFOTEH). 2023. DOI: 10.1109/INFOTEH57020.2023.10094192
8. Orlov V., Tynchenko V., Nizameeva A., Shalaeva D., Ageev D. Development of a multifunctional cross-platform system for automation of energy data and resource management. E3S Web of Conferences. 2023. Vol. 460. DOI: 10.1051/e3sconf/202346007002
9. Kobylkin M., Rikker Yu., Batukhtin A., Akimov I. Measurement of fluid pressure through the pipeline wall in heat and power processes. IOP Conference Series: Earth and Environmental Science. 2022. Vol. 1070. Iss. 1. DOI: 10.1088/1755-1315/1070/1/012041
10. Batukhtin A.G., Bass M.S., Ivanov S.A., Batukhtin S.G., Safronov P.G. Method of efficiency improvement in district heating systems. American Journal of Applied Sciences. 2016. Vol. 13. Iss. 2. pp. 145–151. DOI: 10.3844/ajassp.2016.145.151
11. Volneikina E., Kukartseva O., Menshenin A., Tynchenko V., Degtyareva K. Simulation-Dynamic Modeling of Supply Chains Based on Big Data. 22nd International Symposium INFOTEH-JAHORINA (INFOTEH). 2023. DOI: 10.1109/INFOTEH57020.2023.10094168
12. Karlina A.I., Balanovskiy A.E., Kondratiev V.V., Romanova V.V., Batukhtin A.G., Karlina Yu.I. An Investigation into the Behavior of Cathode and Anode Spots in a Welding Discharge. Applied Sciences. 2024. Vol. 14. Iss. 21. DOI: 10.3390/app14219774
13. Batukhtin A.G., Batukhtin S.G., Kobylkin M.V., Baranovskaia M.G. Application of Heat Pumps in a Centralized heat Supply as the Direction of the Development of District Heating Cogeneration. Proceedings – 2018 International Ural Conference on Green Energy (UralCon). 2018. DOI: 10.1109/URALCON.2018.8544378
14. Batukhtin A., Batukhtina I., Baranovskaya M., Bass M., Ivanov S., Batukhtin S., Kobylkin M. Obtaining a solution of a differential equations system for determining the heat networks retention. International Journal of Mechanical Engineering and Technology. 2018. Vol. 9. № 7. pp. 1300–1320.
15. Konyukhov V.Yu., Permyakova D.N., Oparina T.A. Perspective for the use of industrial waste in lubricating compositions to reduce wear in friction pairs. Journal of Physics: Conference Series. 2021. Vol. 2061. DOI: 10.1088/1742-6596/2061/1/012046
16. Konyukhov V.Yu., Permyakova D.N., Oparina T.A. Numerical simulation of the size, quantity and shape of non-metallic inclusions in rails. Journal of Physics: Conference Series. 2021. Vol. 2032. DOI: 10.1088/1742-6596/2032/1/012071
17. Konyuhov V.Yu., Gladkih A.M., Galyautdinov I.I., Shchadova E.I. Calculations of efficiency in implementing progressive mold forming methods. IOP Conference. Series: Materials Science and Engineering. 2020. Vol. 760. DOI: 10.1088/1757-899X/760/1/012027
18. Suprun E., Tynchenko V., Khramkov V., Kovalev G., Soloveva T. The use of artificial intelligence to diagnose the disease. BIO Web of Conferences. 2024. Vol. 84. DOI: 10.1051/bioconf/20248401008
DOI: 10.24000/0409-2961-2025-6-85-90
Year: 2025
Issue num: June
Keywords : occupational safety electrical safety mines current leakage resistance of insulation leakage protection protection settings underground grids
Authors:
  • Aukhadeev A.E.
    Cand. Sci. (Eng.), Assoc. Prof., Auhadeev.ae@kgeu.ru, Kazan State Energy University, Kazan, Russian Federation