| Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
|
|
|---|---|---|
| Article Number | 03018 | |
| Number of page(s) | 7 | |
| Section | Mathematical Modelling of Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202453103018 | |
| Published online | 03 June 2024 | |
Analyses and algorithms of personnel safety in mines using event tree and Bayesian network method
1 Navoi State Mining Institute Institute, Navoi, 210100, Uzbekistan
2 Navoi mining and Metallurgical Combine JSC, Navoi city., Uzbekistan
* Corresponding author: kalandarovilyos1987@gmail.com
Determination of the hazard index in ensuring the safety of personnel in underground mines requires a comprehensive approach. Different methods can be applied depending on the specifics and conditions of work. This article discusses event tree and Bayesian network methods as tools for systematic analysis and assessment of personnel safety risks. The event tree method allows the sequence of events that lead to certain outcomes to be ordered and visualised. Analysing this event tree can help identify critical points and determine likely ways to prevent accidents. The Bayesian grid method is a graphical model of the probabilistic relationships between different variables. When analysing personnel safety, the Bayesian grid method can take into account the probability of events, the factors affecting safety and their interrelationships.
Key words: risk / algorithm / event tree / Petri net / Bayesian network / mathematical model / artificial intelligence / information system / monitoring system / conceptual model / function / heuristic algorithm
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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