LI J L, HE Q, WANG S W,et al.Study on the geological meaning and application of mine water inflow series after phase space reconstruction[J].Journal of Henan Polytechnic University(Natural Science) ,2024,43(5):43-52.

doi:10.16186/j.cnki.1673-9787.2023040006

Received:2023/04/06

Revised:2023/05/16

Published:2024/07/31

Study on the geological meaning and application of mine water inflow series after phase space reconstruction

LI Jianlin1,2, HE Qi1, WANG Shuwei1, WANG Xinyi1,2, WANG Chong4, XUE Yang1

1.School of Resources and Environment，Henan Polytechnic University，Jiaozuo  454000，Henan，China;2.Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization，Jiaozuo  454000，Henan，China;3.Zhejiang Geological Prospecting Institute，China Chemical Geology and Mine Bureau，Hangzhou  310002，Zhejiang，China;4.The Nuclear Industry 247 Brigade，Tianjin North China Geological Exploration Bureau，Tianjin  301800，China

Abstract: Objectives To determine the geological meaning of mine water inflow series after phase space reconstruction and improve the accuracy of water inflow prediction， Methods taking Wangxingzhuang Mine as an example，the correlation between column vectors in the reconstructed phase space of the water inflow sequence and the main control factors of mine water inflow was analyzed.On this basis，a water inflow prediction model coupled with chaos theory and artificial neural network （Chaos-ENN） was established. Results The results showed that the embedding dimension of the phase space was equal to the number of main control factors of mine water inflow.The reconstructed phase space columns 1，2，4，5 and 6 were highly correlated with the depth of the C2tL7-8 aquifer burial，the depth of the O2m+Є3ch aquifer burial，the goaf area，the depth of the C2tL1-4 aquifer burial，and the development length，respectively.The column 3 was related to other comprehensive factors that were difficult to quantify.The prediction accuracy of the Chaos-ENN model at Wangxingzhuang Mine reacheded 97.91%. Conclusions The column vectors of the phase space after the reconstruction of the water inflow sequence had clear geological meaning.Chaos theory quantified the number and values of the ENN input layers in the water inflow prediction model，allowing the establishment of a Chaos-ENN model for mine water inflow prediction using only the sequence values of water inflow.This model addressed the challenges of determining and quantifying the main controlling factors in water inflow prediction.It achieved high prediction accuracy and demonstrated significant potential for broader application.

Key words:mine hydrological system;phase space reconstruction;main control factor of water inflow;chaotic characteristic;Chaos-ENN prediction model