Authors: A.Yu. Voronov, Yu.E. Voronov
Title of the article: Multistage model for shovel-truck system management at open-pit coal mines
Year: 2019, Issue: 5, Pages: 8-15
Branch of knowledge: 05.05.06 Mining machines
Index UDK: 622.23.05
DOI: 10.26730/1816-4528-2019-5-8-15
Abstract: The urgency of the discussed issue. The efficiency of the domestic mining shovel-truck systems (STSs) operation is quite low due to the high equipment downtime in anticipation of work during the shift. The reasons for this are: the inappropriate structure of mining shovel and truck fleets in the STS, inappropriate truck allocation and assignments during the shift, and other factors specific to the particular mine. Therefore, improving the quality of the STSs operation by improving the management of the joint shovel-truck operation is an urgent task.
The main aim of the study – improving the management of STSs at open-pit coal mines.
The methods used in the study. A heuristic algorithm for making dispatching decisions in the conditions of the STS operating in an unfixed mode is developed. Priority parameters for shovels are proposed and a mathematical model for selecting a shovel after truck unloading is developed. An algorithm is developed for finding optimal priority parameters according to the required criterion of the efficiency of a group of shovels and trucks. The basis of this algorithm is a simulation model of the STS.
The results. As a result of numerical experiments, it is shown that an unfixed mode allows reducing downtime and increasing the production as compared with the fixed mode currently used. The proposed model takes into account random factors that affect the truck loading, dumping and moving times, shovel and truck repair times, the duration of overhaul periods. The simplicity of the dispatch decision-making model allows it to be applied in real time.
Key words: open-pit mining shovel-truck system management dispatching optimization
Receiving date: 11.11.2019
Publication date: 31.12.2019
This work is licensed under a Creative Commons Attribution 4.0 License.