Automatic Generation of Mine Ventilation Network Diagrams Based on Ant Colony Algorithm

DOI

10.2991/978-94-6463-780-9_52How to use a DOI?

Keywords

Mine ventilation network; Ant colony algorithm; Multi-objective optimization; Topology design

Abstract

As contemporary mines continue to scale in size and complexity, the generation and optimization of mine ventilation network0 diagrams has emerged as a critical problem for the industry. Based on the current ant colony algorithm and graph theory modeling framework, multi-level topological representation and improved heuristic functions are proposed, and dynamic pheromone update, combination of local and global search, and adaptive constraint processing and other innovative methods are used to realize the automatic generation and optimization of mine ventilation network in multi-objective and multi-constraint scene. The model precisely applies the Boolean line segment and node merge method to modify the expression of the ventilation roadway and wind flow intersection, by the adaptive weight distribution mode, it explores the energy consumption, safety, and operation cost indexes, and realizes the automatic identification and dynamic configuration of the main gas path and the redundant loop in the complex ventilation network with the collaborative effect of hybrid ant colony algorithm at the global and local search stage. Meanwhile, this model also formulates the iterative correction mechanism of the fan and regulating facilities layout to guarantee the generated ventilation network with better adaptibility and reliability. It is shown by experiment results that the generation speed and optimization quality of the model is significantly improved.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xueyuan Zhao
AU  - Jingyu Wang
AU  - Heng Zhang
PY  - 2025
DA  - 2025/07/03
TI  - Automatic Generation of Mine Ventilation Network Diagrams Based on Ant Colony Algorithm
BT  - Proceedings of the 2025 International Conference on Engineering Management and Safety Engineering (EMSE 2025)
PB  - Atlantis Press
SP  - 565
EP  - 571
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-780-9_52
DO  - 10.2991/978-94-6463-780-9_52
ID  - Zhao2025
ER  -