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Method of complex assessment of on-board information and control systems on mining machines

For a full-fledged information interaction of a vehicle with transport infrastructure and management, it is necessary to use intelligent transport systems, this can have a particularly serious impact on the cargo transportation process. To increase the coefficient of technical readiness of quarry excavators, intelligent systems are being implemented – information, diagnostic and telecommunication. Based on a system analysis of the functioning of excavators at a mining enterprise, the possibility of reducing the downtime of quarry excavators spent on maintenance and troubleshooting has been established, which means reducing economic losses. The directions of increasing the productivity of mining machines are determined, taking into account the influence of the technical condition of cargo vehicles. An approach is proposed to increase the coefficient of technical readiness of cargo transport through the introduction of on-board information and control systems. An algorithm for collecting and processing information received from on-board information and control systems of vehicles with the ability to track the technical condition of systems in real time and the subsequent creation of a resource forecasting model is presented. A method of integrated assessment of on-board information and control systems has been developed to select the optimal composition of systems depending on the weight of criteria affecting the efficiency of the vehicle.

Keywords: excavators, on-board information and control system, method of integrated assessment of on-board systems, cargo transport, improving the efficiency of using cargo transport, efficiency criteria, monitoring of technical condition, intelligent transport systems.
For citation:

Safiullin R. N., Safiullin R. R., Efremova V. A. Method of complex assessment of on-board information and control systems on mining machines. MIAB. Mining Inf. Anal. Bull. 2023;(9-1):49-63. [In Russ]. DOI: 10.25018/0236_1493_2023_91_0_49.

Acknowledgements:
Issue number: 9
Year: 2023
Page number: 49-63
ISBN: 0236-1493
UDK: 656.13
DOI: 10.25018/0236_1493_2023_91_0_49
Article receipt date: 02.05.2023
Date of review receipt: 03.07.2023
Date of the editorial board′s decision on the article′s publishing: 10.08.2023
About authors:

R.N. Safiullin1, Dr. Sci. (Eng.), Professor, e-mail: safravi@mail.ru, ORCID ID: 0000-0002-8765-6461, 
R.R. Safiullin1, Cand. Sci. (Eng.), Assistant Professor, e-mail: safiyllin@yandex.ru, ORCID ID: 0000-0003-2315-3678,
V.A. Efremova1, Graduate Student, e-mail: vikaefr99@gmail.com, ORCID ID: 0000-0002-3981-6061,
1 Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia.

 

For contacts:

R.N. Safiullin, e-mail: safravi@mail.ru.

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