ArticleScientific reports2025
Optimization of mine ventilation energy consumption based on improved dung beetle algorithm.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- Experimental study on portable multi-parameter intelligent wind measurement sensor.Scientific reports · 2026Article
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2 authors.
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Abstract
The mine ventilation system is a vital component in ensuring mine safety, and optimizing it is crucial for reducing energy consumption and improving efficiency. However, traditional optimization methods face limitations when applied to complex mine ventilation systems, making it challenging to achieve optimal results. This paper presents an optimization method for mine ventilation systems utilizing an enhanced Dung Beetle Optimizer (DBO). Several enhancement strategies have been made to address issues such as uncoordinated global search, limited local exploitation, and slow convergence speed in the standard DBO, including chaotic initialization, random walk strategy, and cross-strategy. The Strategy-Combined Dung Beetle Optimizer (SCDBO) is used to optimize mine ventilation systems by reducing energy consumption through improved air distribution and resistance management within the network. Experimental results show that SCDBO can effectively reduce the energy consumption of mine ventilation systems, achieving a 27% energy savings and providing a practical new approach for optimizing mine ventilation.
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