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Design and Optimization Strategies of a High-Performance Vented Box
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Optimization of mine ventilation network feature graph.

Jinzhang Jia1,2, Bin Li1,2, Dinglin Ke1,2

  • 1College of Safety Science and Engineering, Liaoning Technical University, Fuxin, Liaoning, China.

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|November 16, 2020
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Summary

This study introduces a new algorithm for drawing ventilation network feature graphs, enhancing mine airflow stability and system analysis. The method improves graph representation for better ventilation management.

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Area of Science:

  • Engineering
  • Computer Science
  • Mining Engineering

Background:

  • Ventilation network feature graphs offer quantitative representation of ventilation systems.
  • Ensuring mine airflow stability and improving ventilation system analysis are critical.
  • Existing methods may face challenges with specific network configurations like unidirectional circuits.

Purpose of the Study:

  • To propose a novel algorithm for drawing ventilation network feature graphs.
  • To enhance the accuracy and efficiency of ventilation system analysis and optimization.
  • To address limitations in representing ventilation networks with unidirectional circuits.

Main Methods:

  • Utilizing the independent path method as the core algorithm framework.
  • Embedding an improved adaptive genetic algorithm for enhanced graph drawing.
  • Developing a mathematical model using the node adjacency matrix method for unidirectional circuit discrimination.
  • Modifying the edge-seeking strategy within an improved depth-first search algorithm to identify all paths, including those with unidirectional circuits.
  • Applying equivalent transformation of network topology relations for graph construction.
  • Employing network simplification technology for concise and hierarchical graph representation.

Main Results:

  • A new algorithm effectively draws ventilation network feature graphs.
  • The algorithm successfully handles ventilation networks with unidirectional circuits.
  • Network simplification leads to concise and hierarchical graph representations.
  • The developed method facilitates rapid and intuitive visualization of ventilation networks.

Conclusions:

  • The proposed algorithm provides a robust method for drawing ventilation network feature graphs.
  • This advancement significantly aids in optimizing mine ventilation systems and daily management.
  • The approach enhances the quantitative representation and analysis capabilities for mine ventilation networks.