Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm

Water damage accidents occur frequently in mines in China, and accurate prediction of incoming water has become an important guarantee for the safe and efficient mining of coal resources. To improve the accuracy of mine water prediction, this paper proposes the VMD-iCHOA-GRU mine water prediction mo...

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Veröffentlicht in:Scientific reports Jg. 15; H. 1; S. 4378 - 18
Hauptverfasser: Chen, Juntao, Fan, Mingjin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 05.02.2025
Nature Publishing Group
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Schlagworte:
639/166/986
639/705/258
704/2151/241
Accuracy
Algorithms
Coal mining
Decomposition
Gated recurrent units
Humanities and Social Sciences
Improved chimp optimization algorithm
Mine drainage
Mining accidents & safety
multidisciplinary
Optimization algorithms
Prediction models
Science
Science (multidisciplinary)
Variational mode decomposition
Water damage accidents
Water inrush
Water damage accidents
Variational mode decomposition
Gated recurrent units
Improved chimp optimization algorithm
ISSN:2045-2322, 2045-2322
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Zusammenfassung:Water damage accidents occur frequently in mines in China, and accurate prediction of incoming water has become an important guarantee for the safe and efficient mining of coal resources. To improve the accuracy of mine water prediction, this paper proposes the VMD-iCHOA-GRU mine water prediction model by selecting and improving it according to the previous research results in decomposition method, time series prediction model and optimization algorithm. After processing the raw data and setting the model parameters, MAE, RMSE, MAPE and R 2 are selected as the evaluation indexes of prediction accuracy, and VMD-GRU model, iCHOA-GRU model, CHOA-GRU model and GRU model are selected as the comparison models to validate the advantages of the VMD-iCHOA-GRU model in the prediction of mine inrush water. The results show that the VMD-iCHOA-GRU model has the best prediction effect on the trend of water inflow, with the evaluation index values of 0.00862, 0.01059, 0.02189%, 0.87079, respectively, and with the smallest MAE, RMSE, MAPE, and the largest R 2 , and the highest prediction accuracy of the VMD-iCHOA-GRU model.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-82580-8