河南理工大学学报（自然科学版）2024，Vol.43Issue(5)：43-52,10.DOI:10.16186/j.cnki.1673-9787.2023040006
相空间重构后矿井涌水量序列地质学含义及其应用研究
Study on the geological meaning and application of mine water inflow series after phase space reconstruction
摘要
Abstract
Objectives To determine the geological meaning of mine water inflow series after phase space re-construction 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 se-quence and the main control factors of mine water inflow was analyzed.On this basis,a water inflow predic-tion 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 con-trol factors of mine water inflow.The reconstructed phase space columns 1,2,4,5 and 6 were highly corre-lated 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 num-ber 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 applica-tion.关键词
矿井水文系统/相空间重构/涌水量主控因素/混沌特征/Chaos-ENN预测模型Key words
mine hydrological system/phase space reconstruction/main control factor of water inflow/chaotic characteristic/Chaos-ENN prediction model分类
矿业与冶金引用本文复制引用
李建林,贺奇,王树威,王心义,王冲,薛杨..相空间重构后矿井涌水量序列地质学含义及其应用研究[J].河南理工大学学报（自然科学版）,2024,43(5):43-52,10.基金项目
国家自然科学基金资助项目(41972254) （41972254）
河南省高等学校重点科研项目(22A170009) （22A170009）
