Optimization of mine ventilation energy consumption based on improved dung beetle algorithm.
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| Title: | Optimization of mine ventilation energy consumption based on improved dung beetle algorithm. |
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| Authors: | Bingyan, Gu, Zhe, Kan |
| Source: | Scientific Reports; 10/28/2025, Vol. 15 Issue 1, p1-11, 11p |
| Subject Terms: | MINE ventilation, ENERGY consumption, AIR flow, INDUSTRIAL efficiency, OPTIMIZATION algorithms, ECONOMIC efficiency, MATHEMATICAL optimization |
| 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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