Modeling the dynamics of production processes in a longwall face based on the application of colored Petri nets
DOI:
https://doi.org/10.33271/crpnmu/86.171Keywords:
reliability, availability factor, machine time factor, stability, Petri netAbstract
Purpose. To develop a novel approach for evaluating the reliability of production processes at the longwall face and determining the topological boundaries for scaling extraction units.
Methodology. Queuing theory was applied to formalize the problem of assessing production process reliability at the longwall face. Colored Petri Nets were utilized to evaluate the dynamics of production processes. The research methodology involved constructing a computational model of equipment interaction with the rock mass, formalizing technological links at the longwall face, and grouping mining-geological and mining-technical factors according to failure rates and their impact on processes inside and outside the longwall face.
Findings. Dynamic reliability metrics were investigated using Colored Petri Nets. It was established that for mines with high adaptability of mining methods, the discrepancy reached 22.7% for the availability factor and 27.6% for the machine time factor. For mines with low adaptability, this deviation was significantly larger: 48.3% for the availability factor and 52.7% for the machine time factor. As reliability increases, the gap between estimated (standard) and actual reliability metrics diminishes. It was determined that for mines with high adaptability of mining methods, increasing the number of longwall faces does not lead to a significant drop in reliability indicators (for the "Heroiv Kosmosu" mine, a decrease in the availability factor of 20.8% and a decrease in the machine time factor of 16.0% were recorded; for the "Lisova" mine, the reductions were 30.4% and 40.9%, respectively). It was established that a critical reliability threshold exists for each topological network, beyond which a cascading decline in the availability factor occurs.
Originality. For the first time, regularities describing how the adaptability level of mining methods affects dynamic reliability metrics across different scales of the longwall mining front have been established, revealing a reduction in the availability factor (by an average factor of 2.1) and the machine time factor (by an average factor of 1.9.
Practical implications. The study of production process dynamics at the longwall face revealed a differentiated impact of topological complexity on mine performance, enabling the recommendation of a minimalist (single longwall) structure for mines with low adaptability levels.
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